ArticlePDF Available

Nothing as Practical as a Good Theory? The Theoretical Basis of HIV Prevention Interventions for Young People in Sub-Saharan Africa: A Systematic Review

Hindawi
AIDS Research and Treatment
Authors:

Abstract and Figures

This paper assesses the extent to which HIV prevention interventions for young people in sub-Saharan Africa are grounded in theory and if theory-based interventions are more effective. Three databases were searched for evaluation studies of HIV prevention interventions for youth. Additional articles were identified on websites of international organisations and through searching references. 34 interventions were included; 25 mentioned the use of theory. Social Cognitive Theory was most prominent (n = 13), followed by Health Belief Model (n = 7), and Theory of Reasoned Action/Planned Behaviour (n = 6). These cognitive behavioural theories assume that cognitions drive sexual behaviour. Reporting on choice and use of theory was low. Only three articles provided information about why a particular theory was selected. Interventions used theory to inform content (n = 13), for evaluation purposes (n = 4) or both (n = 7). No patterns of differential effectiveness could be detected between studies using and not using theory, or according to whether a theory informed content, and/or evaluation. We discuss characteristics of the theories that might account for the limited effectiveness observed, including overreliance on cognitions that likely vary according to type of sexual behaviour and other personal factors, inadequately address interpersonal factors, and failure to account for contextual factors.
Content may be subject to copyright.
Hindawi Publishing Corporation
AIDS Research and Treatment
Volume 2012, Article ID 345327, 18 pages
doi:10.1155/2012/345327
Review Article
Nothing as Practical as a Good Theory? The Theoretical Basis of
HIV Prevention Interventions for Young People in Sub-Saharan
Africa: A Systematic Review
Kristien Michielsen,1Matthew Chersich,1, 2 Marleen Temmerman,1
Tessa Dooms,2and Ronan Van Rossem3
1International Centre for Reproductive Health, Faculty of Medicine and Health Sciences, Ghent University,
De Pintelaan 185 P3, 9000 Ghent, Belgium
2Centre for Health Policy, School of Public Health, University of the Witwatersrand, Johannesburg 2000, South Africa
3Department of Sociology, Faculty of Political and Social Sciences, Ghent University, 9000 Ghent, Belgium
Correspondence should be addressed to Kristien Michielsen, kristien.michielsen@ugent.be
Received 29 February 2012; Revised 26 April 2012; Accepted 3 May 2012
Academic Editor: Xiaoming Li
Copyright © 2012 Kristien Michielsen et al. This is an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly
cited.
This paper assesses the extent to which HIV prevention interventions for young people in sub-Saharan Africa are grounded
in theory and if theory-based interventions are more eective. Three databases were searched for evaluation studies of HIV
prevention interventions for youth. Additional articles were identified on websites of international organisations and through
searching references. 34 interventions were included; 25 mentioned the use of theory. Social Cognitive Theory was most prominent
(n=13), followed by Health Belief Model (n=7), and Theory of Reasoned Action/Planned Behaviour (n=6). These cognitive
behavioural theories assume that cognitions drive sexual behaviour. Reporting on choice and use of theory was low. Only three
articles provided information about why a particular theory was selected. Interventions used theory to inform content (n=13), for
evaluation purposes (n=4) or both (n=7). No patterns of dierential eectiveness could be detected between studies using and
not using theory, or according to whether a theory informed content, and/or evaluation. We discuss characteristics of the theories
that might account for the limited eectiveness observed, including overreliance on cognitions that likely vary according to type
of sexual behaviour and other personal factors, inadequately address interpersonal factors, and failure to account for contextual
factors.
1. Introduction
With an estimated 2.7 million new infections worldwide
in 2010, HIV incidence remains at very high levels [1].
Sub-Saharan Africa, accounting for 70% of these infections,
remains particularly aected. About 40% of new HIV
infections occur in the age group 15 to 24 years [1]. There-
fore, targeted prevention programmes for young people are
essential in reversing the HIV epidemic [2,3]. Over the
past decades, a considerable number of HIV prevention
interventions for young people in sub-Saharan Africa have
been developed, implemented, and evaluated. Nevertheless,
even though these interventions seem to increase knowledge
and encourage positive attitudes, radical changes in sexual
behaviour have not occurred [4,5].
Theory is said to be an essential component of successful
health promotion interventions [6,7]. Behavioural theory
can assist to understand the determinants of risky and safe
sexual behaviour [8] and hence help to identify underlying
principles about how people change their behaviour [9].
Further, it aims to explains why and how behaviours occur
and allows us to predict future behaviours by establishing
relationships between key variables. Beyond providing con-
structs, processes and hypotheses for setting up interven-
tions, theories can also provide the basis for testing the
eectiveness of interventions [10]. Furthermore, theories
2AIDS Research and Treatment
can serve as a framework for accumulating knowledge
[11]. Reviews that assessed the theoretical underpinnings
of behavioural interventions for young people worldwide
generally claim that a theoretical foundation contributes to
eectiveness [6,1216], although a direct link has not yet
been established.
In health promotion research, a large number of theories
coexist that aim to understand health-related behaviour and
provide tools for behaviour change. The Social Learning/
Cognitive Theory (SCT), Theory of Reasoned Action/
Planned Behaviour (TRA/TPB), and Health Belief Model
(HBM) are the most dominant theories, more recently joined
by the Stages of Change (SoC) and Social Ecological Model
(SEM) [1721].
The SCT posits that people acquire and maintain par-
ticular behavioural patterns through a constant interaction
between three factors: environment, personal factors, and
behaviour [22,23]. Behaviour is not simply the result of the
environment and the person, just as the environment is not
merely a function of the person and behaviour [17]. The
HBM is based on an understanding that a person will take a
health-related action if that person believes s/he is susceptible
to the condition (perceived susceptibility), that the condition
has serious consequences (perceived severity), that taking
action would reduce their susceptibility to the condition
or its severity (perceived benefits), and that these benefits
outweigh the cost of taking action (perceived barriers).
Action is taken more easily if the person is exposed to
factors that prompt action (cues to action) and is confident
in her/his ability to successfully perform an action (self-
ecacy) [20,2426]. By contrast, the TRA suggests that
a person’s behaviour is determined by her/his intention
to perform the behaviour. This intention is predicated by
their attitude toward the specific behaviour and by beliefs
about whether individuals who are important to the person
approve or disapprove of the behaviour (subjective norm).
The TPB includes an additional determinant: the belief
s/he has control over a particular behaviour (perceived
behavioural control) [20,27,28]. SoC theory argues that, in
order to change a behaviour, an individual passes through
five stages: precontemplation, contemplation, preparation,
action, and maintenance [29]. People at dierent stages have
dierent informational needs and benefit from interventions
tailored to their particular stage [20]. The SEM identifies
a number of interacting levels that influence behavior
(individual, interpersonal, organizational, community, and
public policy). According to this model, behaviours are
shaped by the social environment [20,30].
These dominant theories work at various levels and
for dierent purposes. While the HBM and TRA/TPB are
explanatory theories operating at the individual level, the
SCT and SEM include the interpersonal and environmental
levels, respectively. The SoC theory, in turn, is a change
theory, not explaining a particular behaviour, but providing
a framework for how people alter their behaviour.
With the overarching objective of improving eectiveness
of HIV prevention interventions that target young people’s
sexual behaviour in sub-Saharan Africa, this paper examines
the extent to which these interventions are grounded in
theory, how these theories are applied and assesses if theory-
based interventions are more eective in modifying sexual
behaviour than interventions not explicitly grounded in
theory.
2. Methods
2.1. Study Eligibility, Literature Search, and Data Extraction.
We performed a systematic review to locate evaluated inter-
ventions that aim to reduce sexual risk behaviour of young
people in sub-Saharan Africa. Studies were considered eligi-
ble if they reported on the evaluation of an HIV prevention
intervention for young people on the subcontinent, had a
control group, and were published between January 1990 and
March 2012. Further, to be included, studies had to report on
the general population of young people (10–25 years) and
the intervention needed to aim to prevent HIV transmission
by reducing sexual risk taking. Searches were performed in
the online databases Medline (PubMed interface), ISI Web of
Science, and EBSCOhost. Additional articles were identified
on websites of international organisations and through
searching references of eligible articles. Data extraction
was then done in duplicate by five investigators using a
predesigned and pretested extraction sheet. Further details
of the search terms, study eligibility, and data extraction are
detailed elsewhere [4].
2.2. Study Measures. Weextracteddataoncharacteristics
of the interventions and theory use. Firstly, whether any
theory had been used and, if so, which. Secondly, for
what purpose the theory was used. We extracted full-text
descriptions of how the theory had been used, which was
later recoded into three categories: theory used to inform the
intervention (e.g., for curriculum development); theory used
to guide evaluation (e.g., to develop indicators); or both.
Thirdly, a binary variable was derived, capturing whether
an explanation was provided about why this theory was
chosen. For the studies not reporting the use of a theory,
we looked at the topics dealt with in the interventions
and the envisaged interventions’ outcomes. This gives us an
indication of the underlying theoretical assumptions used in
these interventions.
Data were also extracted on the behavioural outcomes of
the interventions: condom use (at last sex; consistency and
intention), sexual behaviour (primary abstinence; the pro-
portion of sexually active youth; recent sexual intercourse;
number of sexual partners and multiple partnerships), and
biological outcomes (HIV/STI incidence).
3. Results
1073 article titles and/or abstract were screened. After
analysis of title and abstract, we reviewed 73 full-text
publications. In total, evaluations of 34 studies met the
inclusion criteria, reported on in 38 articles. Ta ble 1 sums the
main intervention characteristics and study designs.
AIDS Research and Treatment 3
Tab le 1: Characteristics of studies included in systematic review of use of behavioural theory in HIV prevention interventions in youth in sub-Saharan Africa.
Author, year Country Year of
intervention Study design
Sample size at
baseline
(males/females)
Main intervention activities
(duration)
Intervention
setting
(urban/rural)
Theory or
theories used
Role of theory in the
study
Explanation
provided about
why theory
used?
Central Africa
Van Rossem
and Meekers
[31]
Cameroon 1996-1997 Repeat C/S,
quasiexperimental 1606 (753/757)
Behaviour change commu-
nication and promotion
through peers and in media,
condom distribution,
youth-friendly services (13
months)
Community
(urban)
Health Belief
Model
Development of
intervention and
questionnaire/
evaluation
No
Speizer et al.
[32]Cameroon 1997-1998 Repeat C/S,
quasiexperimental 802 (400/402)
Through discussion groups,
one-on-one meetings, and
health and sport association
gatherings, peer educators
informed their peers and
referred them to services.
Promotional materials were
distributed in schools and
community (18 months)
School + Com-
munity (urban)
NR, focus on
knowledge NA NA
Meekers et al.
[33]Cameroon 2000-2001
Repeat C/S, pre
post-controlling
for exposure
1956 (1056/900)
Media and interpersonal
communication campaign.
Peer education, magazine,
radio drama, radio call-in
show, media campaign,
condom promotion (12
months)
Community
(urban)
Health Belief
Model, Social
Learning
Theory, Theory
of Reasoned
Action
Development of
intervention and
questionnaire/
evaluation
No
4AIDS Research and Treatment
Tab le 1: Continued.
Author, year Country Year of
intervention Study design
Sample size at
baseline
(males/females)
Main intervention activities
(duration)
Intervention
setting
(urban/rural)
Theory or
theories used
Role of theory in the
study
Explanation
provided about
why theory
used?
Eastern Africa
Klepp et al.
[34,35]Tanzania 1990
Cohort,
randomized
schools
1063 (502/561)
Teachers provided informa-
tion, students created posters
and performed songs, poetry,
drama and role-play, small-
group discussions among stu-
dents. Interviews and panel
discussions with parents and
community members (2-3
months)
Primary school
(urban + rural)
Social Learning
Theory and
Theory of
Reasoned
Action
Development of
intervention and
questionnaire/
evaluation
No
Shuey et al.
[36]Uganda 1994–1996 Repeat C/S,
quasiexperimental 800 (398/402)
Strengthen existing school
health curriculum, meeting
with parents and community
leaders, formation of school
health clubs with peer educa-
tion, question boxes (2 years)
Primary school
(urban + rural)
Social Cognitive
Theory NR No
Kinsman et
al. [37]Uganda 1997-1998 Cohort,
quasiexperimental 2077 (920/1157) Extracurricular classes by
trained teachers (1 year)
Primary and
secondary
schools (rural)
Behaviour
Changes for
Interventions
Model
Development of
intervention and
questionnaire/
evaluation
No
Erulkar et al.
[38]Kenya 1998–2000 Repeat C/S,
quasiexperimental 1544 (792/752)
Adult counsellor in commu-
nity educating youth, referral
to youth-friendly services and
encouraging parent-child
communication (3 years)
Community
(urban + rural)
NR, focus on
values,
knowledge,
gender, and
empowerment
NA NA
AIDS Research and Treatment 5
Tab le 1: Continued.
Author, year Country Year of
intervention Study design
Sample size at
baseline
(males/females)
Main intervention activities
(duration)
Intervention
setting
(urban/rural)
Theory or
theories used
Role of theory in the
study
Explanation
provided about
why theory
used?
Ross et al.
[39],
Doyle et al.
[40]
Tanzania 1998–2002
Repeat C/S,
randomized
communities
Ross: 9219
(5103/4116)
Doyle: 13814
(7300/6514)
Participatory, teacher-led,
peer-assisted, in-school pro-
gram, youth-friendly health
services, condom promotion
and distribution, and youth
health days and video shows
in community (3 years)
School + Com-
munity (rural)
Social Learning
Theory
Development of
intervention No
Maticka-
Tyndale et al.
[41]
Kenya 2002-2003
Repeat C/S,
randomized
schools
7392 (3636/3764)
Peer education on level of
teachers and students, ques-
tion boxes, school health
clubs, information corners
and assemblies, drama,
music and literary perform-
ances (18 months)
Primary school
(urban + rural)
Social Learning
Theory and
Scripting
Theory
Development of
intervention Yes
Rijsdijk et al.
[42]Uganda 2008
Cohort,
randomized
schools
1986 (1096/889)
low-tech, computer-based,
interactive comprehensive
sex education programme,
teacher-led (6 months)
Secondary
school
(urban + rural)
Theory of
Planned
Behavior and
Health Belief
Model
Development of
intervention No
Southern Africa
Kuhn et al.
[43]
South
Africa 1990 Repeat C/S,
quasiexperimental 567 (not reported)
Intense, high-profile focus on
AIDS in the school by teach-
ers (2 weeks)
Secondary
school (urban)
NR, focus on
knowledge and
attitudes
NA NA
6AIDS Research and Treatment
Tab le 1: Continued.
Author, year Country Year of
intervention Study design
Sample size at
baseline
(males/females)
Main intervention activities
(duration)
Intervention
setting
(urban/rural)
Theory or
theories used
Role of theory in the
study
Explanation
provided about
why theory
used?
Harvey et al.
[44]
South
Africa 1993-1994
Cohort,
randomized
schools
1080 (447/633)
Schoolopenday”with
drama, song, dance, poetry,
and posters prepared and
presented by students (3
days)
Secondary
school
(urban + rural)
Applied
behaviour
change
framework
Development of
questionnaire/
evaluation
No
Meekers [45]South
Africa 1994–1997 Repeat C/S,
quasiexperimental 226 (0/226)
Mass media campaign, peer
education and condom pro-
motion and distribution
(35 months)
Community
(urban)
Health Belief
Model
Development of
questionnaire/
evaluation
No
Fitzgerald et
al.; Stanton et
al. [46,47]
Namibia 1996
Cohort,
randomized
participants
515 (236/279)
Curriculum taught by a
teacher and out-of-school
youth (7 weeks)
Secondary
school
(urban + rural)
Social Cognitive
Theory /
Protective
Motivational
Theory
Development of
intervention and
questionnaire/
evaluation
No
Kim et al.
[48]Zimbabwe 1997-1998 Repeat C/S,
quasiexperimental 1426 (713/713)
Mass media campaign,
community drama groups,
peer educators, youth-
friendly health services (6
months)
School + Com-
munity (urban)
Steps to
Behaviour
Change
Framework
Development of
intervention No
James et al.
[49]
South
Africa 1998
Cohort,
randomized
schools
1168 (542/616) Reading of a comic book
(1 hour)
Secondary
school
(urban + rural)
Theory of
Health
Promotion and
Social Learning
Development of
intervention No
AIDS Research and Treatment 7
Tab le 1: Continued.
Author, year Country Year of
intervention Study design
Sample size at
baseline
(males/females)
Main intervention activities
(duration)
Intervention
setting
(urban/rural)
Theory or
theories used
Role of theory in the
study
Explanation
provided about
why theory
used?
Visser [50]South
Africa 1998–2000
Repeat C/S, pre
post-controlling
for exposure
873 (410/463)
Trained teachers and pro-
fessionals provide life skills
and HIV/AIDS education.
Parents included in action
committee (1 year)
Secondary
school (urban)
Health Belief
Model
Development of
intervention No
Underwood
et al. [51]Zambia 1999-2000 Repeat C/S,
quasiexperimental 921 (378/543)
Participatory developed
mass media campaign (7
months)
Community
(urban + rural)
Stage Theory of
Behaviour
Change
Development of
intervention No
Magnani et
al. [52]
South
Africa 1999–2001
Cohort, pre
post-controlling
for exposure
3052 (1375/1677) Life skills curriculum
taught by teachers (2 years)
Secondary
school (urban)
Social Learning
Theory
Development of
intervention No
Agha [53] Zambia 2000
Cohort,
randomized
schools
481 (268/213)
Peer educators using dis-
cussion and drama skits
(1 hour 45 min)
Secondary
school (urban)
NR, focus on
knowledge,
normative
beliefs, and risk
perception
NA NA
James et al.
[54]
South
Africa 2001
Cohort,
randomized
schools
936 (456/466)
Life skills intervention
taught by trained teachers
(20 weeks)
Secondary
school
(urban + rural)
Social Cognitive
Theory and
Theory of
Planned
Behaviour
Development of
questionnaire/evaluation No
8AIDS Research and Treatment
Tab le 1: Continued.
Author,
year Country Year of
intervention Study design
Sample size at
baseline
(males/females)
Main intervention activities
(duration)
Intervention
setting
(urban/rural)
Theory or
theories used
Role of theory in the
study
Explanation
provided
about why
theory used?
Plautz et
al. [55]Madagascar 2001-2002
Cohort, pre
post-controlling
for exposure
1785
(1000/785)
Youth-friendly services, mass
media, and inter-personal com-
munication by peer educators
(23 months)
Community
(urban + rural)
Social Learning
Theory, Health
Belief Model,
and Theory of
Reasoned
Action
Development of
intervention and
questionnaire/
evaluation
No
Karnell et
al. [56]South Africa 2002
Cohort,
randomized
schools
661 (324/337)
Peer educators using recorded
monologues of fictional charac-
ters, teacher support (8 weeks)
Secondary
school (urban)
Social Learning
Theory, Social
Inoculation,
Cognitive
Behaviour
Theory
Development of
intervention and
questionnaire/
evaluation
Yes
Visser [57] South Africa 2002-2003 Repeat C/S,
quasiexperimental
1918
(858/1060) Peer education (18 months) Secondary
schools (urban) Systems Theory Development of
intervention No
Jewkes et
al. [58,59]South Africa 2003-2004
Cohort,
randomized
communities
2776
(1360/1416)
Participatory learning ap-
proaches taught by facilitators,
peer group meeting, commu-
nity meeting (6–8 weeks)
Community
(rural)
Participatory
Learning
Approach and
Adult Education
Theory
Development of
intervention No
AIDS Research and Treatment 9
Tab le 1: Continued.
Author, year Country Year of
intervention Study design
Sample size at
baseline
(males/females)
Main intervention activities
(duration)
Intervention
setting
(urban/rural)
Theory or
theories used
Role of theory in the
study
Explanation
provided
about why
theory used?
Tibbits et al.
[60]
South
Africa 2004-2005
Cohort,
randomized
schools
4040 (2020/2020)
Comprehensive, risk-reduction
life skills curriculum for adoles-
cents, teacher-led (24 months)
Secondary
school, urban
Selective
optimization
with
compensation,
Self-
Determination
Theory, and
Social Cognitive
Theory
Development of
intervention Yes
Mason-Jones
et al. [61]
South
Africa 2007-2008 Cohort,
quasiexperimental 3934 (1661/2211)
Government-led peer education
project, in class standard cur-
riculum, conversations outside
class, referral (18 months)
Secondary
school (urban +
rural)
NR, knowledge
and
psychosocial
characteristics
NA NA
Baird et al.
[62]Malawi 2008-2009
Cohort,
randomized
schools
3796 (0/3796)
Monthly cash transfer pro-
gramme to reduce the risk of
STI infection (24 months)
School + com-
munity (urban
+ rural)
NR, focus on
structural factor
(poverty and
education) and
knowledge
NA NA
Burnettetal.
[63]Swaziland NR Cohort,
randomized youth 204 (101/103)
Teacher-led life-skills HIV
prevention education program,
curriculum, interactive tech-
niques, role playing, and group
discussions (13 weeks)
Secondary
school (urban)
Self-ecacy
theory and
Protection
Motivation
Theory
Development of
intervention No
10 AIDS Research and Treatment
Tab le 1: Continued.
Author, year Country Year of
intervention Study design
Sample size at
baseline
(males/females)
Main intervention activities
(duration)
Intervention
setting
(urban/rural)
Theory or
theories used
Role of theory in the
study
Explanation
provided
about why
theory used?
Western Africa
Brieger et al.
[64]
Nigeria
and Ghana 1994–1997 Repeat C/S,
quasiexperimental
1784 (not
reported)
Peer educators, promotion
of community-level net-
works, referral to services
(30 months)
School + Com-
munity (urban)
NR, focus on
knowledge and
attitudes
NA NA
Fawole et al.
[65]Nigeria 1996
Cohort, pre
post-controlling
for exposure
450 (204/246)
Education sessions by com-
munity physicians with
help of teachers (1 month)
Secondary
school (urban)
NR, focus on
knowledge and
attitudes
NA NA
Okonofua et
al. [66]Nigeria 1997-1998
Repeat C/S,
randomized
schools
1896 (877/1008)
Establishment of repro-
ductive health club in
school, health awareness
campaigns by professionals,
distribution of print mate-
rial, peer education, youth-
friendly services (11
months)
Secondary
school (urban)
NR, focus on
knowledge and
barriers
NA NA
Van Rossem
and Meekers
[67]
Guinea 1997-1998 Cohort,
quasiexperimental 2016 (925/1091)
Peer educators (discussion
and theatre), condom pro-
motion, billboards, youth-
friendly services and con-
traception distribution (8
months)
Community
(urban)
Health Belief
Model
Development of
questionnaire/
evaluation
No
Atwood et al.
[68]Liberia 2007-2008
Cohort,
randomized
schools
812 (455/357)
Curriculum-based program
by health educators (8
weeks)
Primary school
(urban)
Social Cognitive
Theory and
Theory of
Reasoned
Action
Development of
intervention No
C/S: Repeated cross-sectional design.
NR: No theory is explicitly reported, dominant constructs used in the intervention.
NA: Not applicable.
AIDS Research and Treatment 11
3.1. Theoretical Basis of the Interventions. About three quar-
ters of the studies—25 of 34—mentioned having used at least
one theory. In total, 19 dierent theories were mentioned
42 times. Several stated that they had applied two or more
theories, with three papers reporting that the intervention
design drew on three theories.
Of all the theories mentioned, the SCT was most
prominent (n=13). Other theories that were mentioned
more than once are the HBM (n=7) and the TRA/TPB
(n=6). Four studies mentioned using a behaviour
change framework: behaviour changes for interventions
model [37], applied behaviour change framework [44], steps
to behaviour change framework [48] and stage theory of
behaviour change [51]. Assessment of the concepts used
in the interventions not explicitly mentioning the use
of a theory indicated that they also operated from an
assumption that knowledge, attitudes, beliefs, and/or role
models determine sexual behaviour. Hence, it seems that
most interventions are implicitly or explicitly guided by
cognitive behavioural frameworks. The one exception is
Baird (2012); this intervention uses an indirect pathway to
try to influence HIV incidence, namely, through encouraging
girls’ school attendance.
Description of the main activities indicates that most
interventions use one or a combination of participatory
learning techniques, such as drama plays, poetry, songs, club
formation, peer education (role modelling), and discussions
and debates. This suggests that the learning strategies of
most interventions were based on participatory learning
approaches.
A small, but considerable proportion of interventions
[32,3436,3840,58,62,64] go beyond focusing on the
individual young person and facilitate community involve-
ment in the interventions. Here, the implicit theoretical
assumption is that in order to change the participants’ sexual
behaviour, the community needs to be involved (cf. SEM).
There is no clear evolution detectable over time in the
frequency of use of dierent theories; of the 20 studies which
began in the decade 1990–1999, 14 reported theory use, while
11 of the 14 beginning after 2000 used theory.
3.2. Use of Theory in the Research Projects. Of 25 inter-
ventions that mentioned a theory, 7 said that the theory
was used to both inform the content of the intervention
(e.g., the curriculum) and to inform the evaluation or
questionnaire design. In 13 studies, theory was reportedly
used only to inform the intervention content, and in 4
only for designing the evaluation or questionnaire. One
study mentioning theory use did not specify how this was
applied [36]. The SCT was almost exclusively used to inform
the intervention. The HBM was mostly used for evaluation
purposes, predominately in studies from Population Services
International [31,33,45,55,67], as was the TRA/TPB.
Only three articles provided information on why a
particular theory was selected [41,56,60]. Nine authors
limited themselves to a brief explanation of the theory itself
[31,37,42,45,48,50,51,63,67]. The remainder did not
provide any information on theory selection.
3.3. Theory Use and Intervention Eectiveness. Overall, the
behavioural outcomes of the 34 studies were markedly
heterogeneous, with little reduction in heterogeneity after
stratifying by theory use (Ta ble 2 ). It was not possible to
discern any patterns in dierential eectiveness between the
role of theory in a study, or between studies reporting or not
reporting theory use. Nor did we find particular dierences
in intervention design by theory use.
Four studies reported biological measures of intervention
eectiveness [39,40,58,59,62]. Jewkes succeeded in
reducing HSV-2 incidence. Baird’s study, not explicitly based
on theory, reported a reduced HIV incidence and HSV-
2 incidence in the intervention group as compared to the
control group, but these data were not controlled for baseline
prevalence and should be treated with some caution [62].
Since the three other studies reporting biological measures
all based their intervention on a theory, it is not possible to
compare the eectiveness of theory- and non-theory-based
interventions in changing these outcomes.
3.4. Evaluation of the Theory. Four studies refer to their
theoretical basis in their conclusions, criticizing the the-
ory, specifically “the theoretical approaches underlying the
program have built in shortcomings which could result
in the program not having significant impact on the
students’ behavioural intentions” [69]; “the discrepancies in
the findings may be substantiated by the lack of system-
atic information that was available on the empirical and
theoretical underpinnings upon which the KwaZulu-Natal
Department of Education’s program was based—a finding
similar to reports of those educational programs that were
not grounded in a theoretical understanding of adolescent
sexual behaviour [...]” [54]; “These findings present mixed
evidence regarding the relationship between self-ecacy
and outcome expectations and HIV protective behaviours
among adolescents in Swaziland.” [63]; “TPB has received
considerably more support from research for its predictive
power of safe sex behaviour than the HBM.” [42].
4. Discussion
The review found that the majority of HIV prevention
interventions targeted at youth in sub-Saharan Africa use
theory-based approaches. A wide range of theories have been
employed, but three behavioural theories predominate: SCT,
HBM, and TRA/TPB. No one theory emerged dominant, as
reporting on the choice, use, and specific evaluation of theory
was low.
4.1. Comparison with Other Reviews. Broadly, the results are
consistent with reviews of HIV risk-reduction interventions
elsewhere, though some variation in use of theory can be
noted across these reviews. Pedlow and Carey [70]reviewed
23 randomized controlled trials of HIV risk-reduction
interventions for adolescents in the United States and found
an explicit theoretical rationale in all but one study. Similar
to our review, SCT was most common (18/23). Three other
theories were used in four or more studies (TRA, HBM,
12 AIDS Research and Treatment
Tab le 2: Description of study outcomes stratified by role of theory use in each study.
Condom use at last
sex
Ever/consistently used
condom
Sexual debut,
proportion of
sexually active
youth
Sexual intercourse
in past months
Number of
sexual partners HIV incidence HSV-2 Other STIs Overview
Theory used
for
development
of
intervention
Visser, 2005Ross, 2007++ Visser, 2005−− Maticka-Tyndale,
2007Visser, 2005Ross, 2007Ross, 2007Ross, 200744 outcomes
Magnani, 2005++ Underwood, 2006++ Magnani, 2005−− Visser, 2007++ Magnani,
2005++ Jewkes, 2008Jewkes, 2008++ Jewkes, 2008++7
Maticka-Tyndale,
2007+Kim, 2001Maticka-Tyndale,
2007+Kim, 2001+Ross, 2007+Doyle, 2010Doyle, 2010Doyle, 2010+10
Ross, 2007+Magnani, 2005++ Ross, 2007Visser, 2007−− 22
Jewkes, 2008Atwood 2012Klepp, 1997+Kim, 2001+1
Underwood, 2006Kim, 2001+Atwood, 2012−− −−4
Visser, 2007Underwood, 2006Doyle, 2010+
Doyle, 2010Atwood, 2012+
Tibbits, 2011Burnet, 2011
Doyle, 2010
Tibbits, 2011
James, 2006+Harvey, 2000++ Harvey, 2000James, 2006+Harvey, 200012 outcomes
Meekers, 1998Meekers, 1998Van Rossem, 1999+Van Rossem,
1999
++1
Theory used
for
development
of evaluation
or
questionnaire
Van Rossem, 1999+Van Rossem, 1999+Meekers, 1998+5
6
0
−−0
AIDS Research and Treatment 13
Tab le 2: Continued.
Condom use at last
sex
Ever/consistently used
condom
Sexual debut,
proportion of
sexually active
youth
Sexual intercourse
in past months
Number of
sexual partners HIV incidence HSV-2 Other STIs Overview
Van Rossem, 2000Van Rossem, 2000++ Fitzgerald, 1999Fitzgerald, 1999Fitzgerald,
199915 outcomes
Fitzgerald, 1999Meekers, 2005+Van Rossem, 2000Van Rossem,
2000+++1
Theory used
for
development
of
intervention
and
evaluation or
questionnaire
Meekers, 2005+Fitzgerald, 1999Plautz, 2003+3
Plautz, 2003Plautz, 2003 10
Karnell, 2005 1
−−0
Theory used,
but uncertain
in which
phase of
study
Shuey++ 1outcome
++1
Speizer+Agha, 2002Speizer++ Speizer−− Agha, 2002++ Baird, 2012++ Baird, 2012++ Baird, 201218 outcomes
Agha, 2002Okonofua++ Brieger, 2001−− Agha, 2002++ Fawole, 1999++6
Interventions
not explicitly
based on
theory
Erulkar, 2004+KuhnFawole, 1999Erulkar, 2004Erulkar, 2004+ +4
Fawole, 1999Fawole, 1999Erulkar, 2004+12
Mason-Jones,
2011Baird, 2012Baird, 2012 0
Mason-Jones,
2011−−
−−3
++ significant positive intervention eect on outcome variable for the whole study population.
+significant positive intervention impact on outcome variable for a subgroup of the target population, and no significant impact on the whole study population or whole population impact not reported.
no significant intervention impact on the outcome variable.
significant negative intervention eect on outcome variable in a sub-group of the target population, and no significant impact on the whole study population or whole population impact not reported.
−−significant negative intervention eect on the outcome variable for the whole study population.
14 AIDS Research and Treatment
and Information-Motivation-Behavioural Skills Model). A
review on the impact of HIV and sex education programs on
youth throughout the world [6] found that more than four
fifths of the 83 interventions identified one or more theory.
SCT formed the basis for more than half (54%) of these
interventions. TRA (19%), HBM (12%), TPB (10%), and the
Information-Motivation-Behavioural Skills Model (10%)
were also commonly mentioned. Two other reviews covering
HIV, STD, or pregnancy risk-reduction interventions among
adolescents in the United States had comparable results, with
a similar distribution of theories used [12,71]. While several
new theories or integrated models have been developed since
the outbreak of HIV focussing specifically on sexual health
behaviours like condom use [8,72], they are not used in HIV
interventions for young people in sub-Saharan Africa.
4.2. Gaps in (the Use of) Theory. By focussing on cognitive
constructs of behaviour, the interventions explicitly or
implicitly start from the assumption that cognitions influ-
ence the person’s thinking and decision making, and thus
drive sexual behaviour [73]. In the remaining discussion,
we will focus on the utility of grounding HIV prevention
interventions for young people on a cognitive behavioural
framework. We attempt to identify critical areas for attention
and improvement on dierent levels.
Firstly, cognitive behavioural models aim to explain a
particular behaviour. The theoretical constructs that influ-
ence behavioural decisions may vary, depending on the
behaviour in question. This poses marked challenges for
HIV prevention interventions, since they generally attempt
to influence a wide range of behaviours—for example,
increasing condoms use, reducing the number of sexual
partners, minimising sexual activity, delaying the onset of
sexual debut—which are influenced by dierent factors.
To further complicate matters, sexual decisions may vary
depending on the reasons for sexual intercourse (ranging
between, e.g., intimacy or desire, external factors, and aect
management). These, in turn, are further influenced by
gender and psychological characteristics (e.g., depression,
self-esteem, and impulsiveness) [74]. Thus, sexual behaviour
itself is far from a uniform behaviour, but rather a collection
of several relatively distinct behaviours, that can be shaped
by dierent factors in dierent contexts. While the use of a
theoretical framework provides grip in structuring an HIV
prevention intervention, the interventionist needs to be very
clear about what behaviour they aim to alter and which
factors determine this behaviour.
Second, the applicability of cognitive behavioural models
to youth sexual behaviours may vary between development
stages. For instance, applying cognitive theory to young
people with no or limited sexual experience may be dicult.
This group may not yet have well-anchored ideas, and conse-
quently their attitudes, norms, and beliefs about safe sexual
behaviour may be less clear and stable than for their adult
counterparts [70,73]. Theories used in HIV interventions
targeted at youth could be strengthened by accounting for
the extent to which individual decision making is supported
by one’s age, gender, or other personal characteristics.
Third, these theories seem to ignore the fact that sexual
intercourse takes place between two persons, within a rela-
tionship. Sexual decisions do not depend on the individual,
but also on the sexual partner and the type of relationship.
Young people might have specific types of partners that may
influence sexual decision making. For example, relationships
with someone who is much older are risky because it
exposes the younger person (mostly girls) to a partner who
is more likely to be sexually experienced and hence more
likely to be HIV-positive [75,76]. Often, these age-disparate
relationships are transactional in nature, with money or gifts
given in exchange for sexual intercourse [75,7781]. Also,
young people in same-age relationships might have dierent
types of relationships than adults. They tend to be in what
is called by Bastard et al. [82] the “courtship-seduction
phases of relationships, in which the predominant concerns
are to “present the best image, win trust, and avoid sources
of conflict. These concerns take precedence over that of
protecting oneself from the risk of AIDS.
Fourth, while some interventions recognize the impor-
tance of involving the community, only the SCT explicitly
stresses the influence of contextual and structural factors
on an individual’s behaviour. Even though the theory states
that the social environment is an important determinant
of the behaviour, many interventions based on SCT did
not attempt to include or influence environmental factors.
Most interventions are limited to providing information and
teaching skills. TRA/TPB implicitly includes this level by
stating that personal attitudes, and norms are influenced
by behavioural and normative beliefs in the society, which
is useful for tracking varying modes of sexual socialisation.
However, this is an indirect eect of the environment on
individual behaviour, while still ignoring the broader struc-
tural factors that shape sexual behaviour. Many recent studies
have demonstrated the contribution of structural factors
to young people’s vulnerability for HIV [75,8385]. These
environmental aspects include both distal influences—such
as taboos on adolescent sexuality, norms and values, policies,
poverty, education as well as more proximate influences.
These include families’ opinions about adolescent relation-
ships or teachers refusing to talk about condoms. Increased
eorts in future studies to account for structural factors at
a theoretical level may improve the design of interventions
and assist in their evaluation, by understanding the possible
barriers between motivation and actual behaviour change.
According to Gielen and Sleet [86], behavioural interven-
tions can be subdivided into three categories, those aimed at
intrapersonal factors (e.g., knowledge, skills, and intentions);
interpersonal factors (including relational motivations and
social desirability); community factors (e.g., culture, gender
inequalities, poverty, and violence). We have already argued
that the most common theories used in HIV interventions
directed to youth do not adequately address interpersonal
factors, the failure to account for contextual factors further
compounds the diculty of evaluating interventions and
understanding the possible barriers between motivation and
actual behaviour change.
Finally, while cognitive behavioural theories of change
might be successful in altering cognitions and behavioural
AIDS Research and Treatment 15
intentions, they provide insucient directives on translating
this into actual behaviour change. Thus interventions could
be regarded as successful in having altered motivations
and intentions, even though behavioural change may not
result. Similarly, interventions based on the HBM, might
increase the perceived severity and susceptibility of a person,
and relieve barriers to behaviour change, but in itself,
might be insucient to alter the sexual behaviour. Clearly,
motivations or beliefs about behaviour change on a cognitive
or rational level need to be accompanied by a clear strategy
for introducing a new behaviour [87].
5. Conclusion
In the end, it boils down to two key questions: what deter-
mines sexual behaviour of young people? And what frame-
works are most useful for making sense of and impacting
positively on determinants of youth sexual behaviour? Rec-
ognizing the complexity and heterogeneity of this particular
behaviour, theory can provide help in generalizing key
determinants and making them operational. Theories aim
to describe determinants and processes that account for
or guide behaviour (change) through the rationalization
of individual decisions. This aids in understanding human
behaviour, and when used appropriately, can provide a solid
grounding for program development and evaluation. The
strength of theory is to generalize and simplify complex situ-
ations. However, in the case of HIV prevention interventions
for young people, the dominant theories might oversimplify
sexual behaviour. While such cognitive behavioural models
can explain the links between intention and behaviour,
particularly at an intrapersonal level, they are less able to
account for interpersonal and contextual factors related to
the complexity of sex, the experience of youth and disparities
in social, cultural, and economic realities of youth in sub-
Saharan Africa.
Acknowledgments
K. Michielsen acknowledges the Research Foundation Flan-
ders (FWO) for financial support. The authors acknowledge
Stanley Luchters and Petra De Koker for data extraction.
References
[1] UNAIDS: UNAIDS World AIDS Day Report 2011, How to get
to zero: Faster. Smarter. Better, Geneva, Switzerland, 2011.
[2] T. J. Coates, L. Richter, and C. Caceres, “Behavioural strategies
to reduce HIV transmission: how to make them work better,
The Lancet, vol. 372, no. 9639, pp. 669–684, 2008.
[3] C. Marston and E. King, “Factors that shape young people’s
sexual behaviour: a systematic review,The Lancet, vol. 368,
no. 9547, pp. 1581–1586, 2006.
[4] K. Michielsen, M. F. Chersich, S. Luchters, P. de Koker, R.
van Rossem, and M. Temmerman, “Eectiveness of HIV
prevention for youth in sub-Saharan Africa: systematic review
and meta-analysis of randomized and nonrandomized trials,
AIDS, vol. 24, no. 8, pp. 1193–1202, 2010.
[5] S. M. N. Mavedzenge, A. M. Doyle, and D. A. Ross, “HIV pre-
vention in young people in sub-Saharan Africa: a systematic
review,” Journal of Adolescent Health, vol. 49, no. 6, pp. 568–
586, 2011.
[6] D. B. Kirby, B. A. Laris, and L. A. Rolleri, “Sex and HIV
education programs: their impact on sexual behaviors of
young people throughout the world,Journal of Adolescent
Health, vol. 40, no. 3, pp. 206–217, 2007.
[7] J. Green, “The role of theory in evidence-based health
promotion practice,Health Education Research, vol. 15, no.
2, pp. 125–129, 2000.
[8] M. Fishbein, “The role of theory in HIV prevention,AIDS
Care, vol. 12, no. 3, pp. 273–278, 2000.
[9] Family Health International, Behavior Change—A Summary of
Four Major Theories, Family Health International, Arlington,
Tex, USA, 2002.
[10] D. R. Rutter and L. Quine, Changing Health Behaviour.
Intervention and Research with Social Cognitive Models,Open
University Press, Philadelphia, Pa, USA, 2002.
[11] D. C. Des Jarlais, C. Lyles, N. Crepaz, and Group T, “Improving
the reporting quality of nonrandomized evaluations of behav-
ioral and public health interventions: the TREND statement,
American Journal of Public Health, vol. 94, no. 3, pp. 361–366,
2004.
[12] J. B. Jemmott and L. S. Jemmott, “HIV risk reduction behav-
ioral interventions with heterosexual adolescents,AIDS, vol.
14, supplement 2, pp. S40–S52, 2000.
[13] B.T.Johnson,M.P.Carey,K.L.Marsh,K.D.Levin,andL.A.
J. Scott-Sheldon, “Interventions to reduce sexual risk for the
human immunodeficiency virus in adolescents, 1985–2000:
a research synthesis,Archives of Pediatrics and Adolescent
Medicine, vol. 157, no. 4, pp. 381–388, 2003.
[14] J. D. Fisher and W. A. Fisher, “Changing AIDS-risk behavior,
Psychological Bulletin, vol. 111, no. 3, pp. 455–474, 1992.
[15] J. A. Kelly and S. C. Kalichman, “Behavioral research
in HIV/AIDS primary and secondary prevention: recent
advances and future directions,Journal of Consulting and
Clinical Psychology, vol. 70, no. 3, pp. 626–639, 2002.
[16] J. P. Moatti and Y. Souteyrand, “Editorial: HIV/AIDS social
and behavioural research: past advances and thoughts about
the future,Social Science and Medicine, vol. 50, no. 11, pp.
1519–1532, 2000.
[17] K. Glanz, B. K. Rimer, and F. M. Lewis, Health Behavior and
Health Education. Theory, Research and Practice, John Wiley &
Sons, San Francisco, Calif, USA, 2002.
[18] K. Glanz and D. B. Bishop, “The role of behavioral science
theory in development and implementation of public health
interventions,Annual Review of Public Health, vol. 31, pp.
399–418, 2010.
[19] J.E.Painter,C.P.C.Borba,M.Hynes,D.Mays,andK.Glanz,
“The use of theory in health behavior research from 2000 to
2005: a systematic review,Annals of Behavioral Medicine, vol.
35, no. 3, pp. 358–362, 2008.
[20] National Cancer Institute, Theory at Glance. A Guide for Health
Promotion Practice, National Cancer Institute, Washington,
DC, USA, 2005.
[21] K. Glanz, F. M. Lewis, and B. K. Rimers, Health Behavior and
Health Education: Theory, Research, and Practice, Jossey-Bass,
San Francisco, Calif, USA, 1990.
[22] A. Bandura, “Self-ecacy: toward a unifying theory of
behavioral change,Psychological Review,vol.84,no.2,pp.
191–215, 1977.
[23] A. Bandura, Self-Ecacy: The Exercise of Control,Freeman,
New York, NY, USA, 1997.
16 AIDS Research and Treatment
[24]I.M.Rosenstock,V.J.Strecher,andM.H.Becker,“Social
learning theory and the Health Belief Model,Health Educa-
tion Quarterly, vol. 15, no. 2, pp. 175–183, 1988.
[25] I. Rosenstock, “Historical origins of the health belief model,
Health Education Quarterly, vol. 2, no. 4, pp. 328–335, 1974.
[26] M. H. Becker, “THe health belief model and personal health
behavior,Health Education Quarterly, vol. 2, no. 4, pp. 324–
508, 1974.
[27] I. Ajzen and B. L. Driver, “Prediction of leisure participation
from behavioral, normative, and control beliefs: an applica-
tion of the theory of planned behavior,Leisure Sciences, vol.
13, no. 3, pp. 185–204, 1991.
[28] I. Ajzen and M. Fishbein, Understanding Attitudes and Pre-
dicting Social Behavior, Prentice Hall, Upper Saddle River, NJ,
USA, 1980.
[29] J. O. Prochaska and C. C. DiClemente, “Stages and processes
of self-change of smoking: toward an integrative model of
change,” Journal of Consulting and Clinical Psychology, vol. 51,
no. 3, pp. 390–395, 1983.
[30] U. Bronfenbrenner, The Ecology of Human Development:
Experiments by Nature and Design, Harvard University Press,
Cambridge, Mass, USA, 1979.
[31] R. van Rossem and D. Meekers, “An evaluation of the eec-
tiveness of targeted social marketing to promote adolescent
and young adult reproductive health in Cameroon,AIDS
Education and Prevention, vol. 12, no. 5, pp. 383–404, 2000.
[32] I. S. Speizer, B. O. Tambashe, and S. P. Tegang, “An evaluation
ofthe“EntreNousJeunes”peer-educatorprogramfor
adolescents in Cameroon,Studies in Family Planning, vol. 32,
no. 4, pp. 339–351, 2001.
[33] D. Meekers, S. Agha, and M. Klein, “The impact on condom
use of the “100% Jeune” social marketing program in
Cameroon,Journal of Adolescent Health,vol.36,no.6,article
530, 2005.
[34] K. I. Klepp, S. S. Ndeki, M. T. Leshabari, P. J. Hannan, and
B. A. Lyimo, “AIDS education in Tanzania: promoting risk
reduction among primary school children,American Journal
of Public Health, vol. 87, no. 12, pp. 1931–1936, 1997.
[35] K. I. Klepp, S. S. Ndeki, A. M. Seha et al., “AIDS education
for primary school children in Tanzania: an evaluation study,
AIDS, vol. 8, no. 8, pp. 1157–1162, 1994.
[36] D.A.Shuey,B.B.Babishangire,S.Omiat,andH.Bagarukayo,
“Increased sexual abstinence among in-school adolescents as
a result of school health education in Soroti district, Uganda,
Health Education Research, vol. 14, no. 3, pp. 411–419, 1999.
[37] J. Kinsman, J. Nakiyingi, A. Kamali et al., “Evaluation of a
comprehensive school-based aids education programme in
rural Masaka, Uganda,Health Education Research, vol. 16, no.
1, pp. 85–100, 2001.
[38] A. S. Erulkar, L. I. A. Ettyang, C. Onoka, F. K. Nyagah,
and A. Muyonga, “Behavior change evaluation of a culturally
consistent reproductive health program for young Kenyans,
International Family Planning Perspectives,vol.30,no.2,pp.
58–67, 2004.
[39] D. A. Ross, J. Changalucha, A. I. Obasi et al., “Biological and
behavioural impact of an adolescent sexual health intervention
in Tanzania: a community-randomized trial,” AIDS, vol. 21,
no. 14, pp. 1943–1955, 2007.
[40] A. M. Doyle, D. A. Ross, K. Maganja et al., “Long-term
biological and behavioural impact of an adolescent sexual
health intervention in tanzania: follow-up survey of the
community-based mema kwa vijana trial,PLoS Medicine, vol.
7, no. 6, Article ID e1000287, 2010.
[41] E. Maticka-Tyndale, J. Wildish, and M. Gichuru, “Quasi-
experimental evaluation of a national primary school HIV
intervention in Kenya,Evaluation and Program Planning, vol.
30, no. 2, pp. 172–186, 2007.
[42]L.E.Rijsdijk,A.E.Bos,R.A.Ruiter,J.N.Leerlooijer,
and B. de Haas, “The world starts with me: a multilevel
evaluation of a comprehensive sex education programme
targeting adolescents in Uganda,BMC Public Health, vol. 11,
article 334, 2011.
[43] L. Kuhn, M. Sternberg, and C. Mathews, “Participation of the
school community in AIDS education: an evaluation of a high
school programme in South Africa,AIDS Care, vol. 6, no. 2,
pp. 161–171, 1994.
[44] B. Harvey, J. Stuart, and T. Swan, “Evaluation of a drama-in-
education programme to increase AIDS awareness in South
African high schools: a randomized community intervention
trial,International Journal of STD and AIDS,vol.11,no.2,pp.
105–111, 2000.
[45] D. Meekers, The Eectiveness of Targeted Social Marketing to
Promote Adolescent Reproductive Health: the Case of Soweto,
South Africa, Population Services International Working
Paper, no. 16, 1998.
[46] A. M. Fitzgerald, B. F. Stanton, N. Terreri et al., “Use of
Western-based HIV risk-reduction interventions targeting
adolescents in an african setting,Journal of Adolescent Health,
vol. 25, no. 1, pp. 52–61, 1999.
[47] B. F. Stanton, X. Li, J. Kahihuata et al., “Increased protected sex
and abstinence among Namibian youth following a HIV risk-
reduction intervention: a randomized, longitudinal study,
AIDS, vol. 12, no. 18, pp. 2473–2480, 1998.
[48] Y. M. Kim, A. Kols, R. Nyakauru, C. Marangwanda, and
P. Chibatamoto, “Promoting sexual responsibility among
young people in Zimbabwe,International Family Planning
Perspectives, vol. 27, no. 1, pp. 11–19, 2001.
[49] S. James, P. S. Reddy, R. A. C. Ruiter et al., “The eects
of a systematically developed photo-novella on knowledge,
attitudes, communication and behavioural intentions with
respect to sexually transmitted infections among secondary
school learners in South Africa,Health Promotion Interna-
tional, vol. 20, no. 2, pp. 157–165, 2005.
[50] M. J. Visser, “Life skills training as HIV/AIDS preven-
tive strategy in secondary schools: evaluation of a large-
scale implementation process,Journal of Social Aspects of
HIV/AIDS Research Alliance, vol. 2, no. 1, pp. 203–216, 2005.
[51] C. Underwood, H. Hachonda, E. Serlemitsos, and U. Bharath-
Kumar, “Reducing the risk of HIV transmission among
adolescents in Zambia: psychosocial and behavioral correlates
of viewing a risk-reduction media campaign,” Journal of
Adolescent Health, vol. 38, no. 1, pp. 55.e1–55.e13, 2006.
[52] R. Magnani, K. MacIntyre, A. M. Karim et al., “The impact
of life skills education on adolescent sexual risk behaviors in
KwaZulu-Natal, South Africa,Journal of Adolescent Health,
vol. 36, no. 4, pp. 289–304, 2005.
[53] S. Agha, “An evaluation of the eectiveness of a peer sexual
health intervention among secondary-school students in
Zambia,” AIDS Education and Prevention,vol.14,no.4,pp.
269–281, 2002.
[54] S. James, P. Reddy, R. A. C. Ruiter, A. McCauley, and B. van den
Borne, “The impact of an HIV and AIDS life skills program
on secondary school students in Kwazulu-Natal, South Africa,
AIDS Education and Prevention, vol. 18, no. 4, pp. 281–294,
2006.
[55] A. Plautz, D. Meekers, and J. Neukom, The Impact of
the Madagascar TOP R,seau Social Marketing Program on
AIDS Research and Treatment 17
Sexual Behavior and Use of Reproductive Health Services, PSI
Research Division Working Paper no. 57, 2003.
[56] A. P. Karnell, P. K. Cupp, R. S. Zimmerman, S. Feist-Price,
and T. Bennie, “Ecacy of an American alcohol and HIV
prevention curriculum adapted for use in South Africa: results
of a pilot study in five township schools,AIDS Education and
Prevention, vol. 18, no. 4, pp. 295–310, 2006.
[57] M. J. Visser, “HIV/AIDS prevention through peer education
and support in secondary schools in South Africa,Journal of
Social Aspects of HIV/AIDS Research Alliance,vol.4,no.3,pp.
678–694, 2007.
[58] R. Jewkes, M. Nduna, J. Levin et al., “Impact of stepping stones
on incidence of HIV and HSV-2 and sexual behaviour in rural
South Africa: cluster randomised controlled trial,The British
Medical Journal, vol. 337, no. 7666, pp. 391–395, 2008.
[59] R. Jewkes, M. Nduna, J. Levin et al., “A cluster randomized-
controlled trial to determine the eectiveness of stepping
stones in preventing HIV infections and promoting safer
sexual behaviour amongst youth in the rural Eastern Cape,
South Africa: trial design, methods and baseline findings,”
Tropical Medicine and International Health,vol.11,no.1,pp.
3–16, 2006.
[60] M. K. Tibbits, E. A. Smith, L. L. Caldwell, and A. J. Flisher,
“Impact of HealthWise South Africa on polydrug use and
high-risk sexual behavior,Health Education Research, vol. 26,
no. 4, pp. 653–663, 2011.
[61] A. J. Mason-Jones, C. Mathews, and A. J. Flisher, “Can peer
education make a dierence? Evaluation of a South African
adolescent peer education program to promote sexual and
reproductive health,AIDS and Behavior,vol.15,no.8,pp.
1605–1611, 2011.
[62] S. J. Baird, R. S. Garfein, C. T. McIntosh, and B. Ozler, “Eect
of a cash transfer programme for schooling on prevalence
of HIV and herpes simplex type 2 in Malawi: a cluster
randomised trial,The Lancet, vol. 379, no. 9823, pp. 1320–
1329, 2012.
[63] S. M. Burnett, M. R. Weaver, P. N. Mody-Pan, L. A. Reynolds
Thomas, and C. M. Mar, “Evaluation of an intervention to
increase human immunodeficiency virus testing among youth
in Manzini, Swaziland: a randomized control trial,Journal of
Adolescent Health, vol. 48, no. 5, pp. 507–513, 2011.
[64] W. R. Brieger, G. E. Delano, C. G. Lane, O. Oladepo, and
K. A. Oyediran, “West African youth initiative: outcome of a
reproductive health education program,JournalofAdolescent
Health, vol. 29, no. 6, pp. 436–446, 2001.
[65] I. O. Fawole, M. C. Asuzu, S. O. Oduntan, and W. R. Brieger,
A school-based AIDS education programme for secondary
school students in Nigeria: a review of eectiveness,Health
Education Research, vol. 14, no. 5, pp. 675–683, 1999.
[66] F. E. Okonofua, P. Coplan, S. Collins et al., “Impact of
an intervention to improve treatment-seeking behavior and
prevent sexually transmitted diseases among Nigerian youths,
International Journal of Infectious Diseases, vol. 7, no. 1, pp. 61–
73, 2003.
[67] R. van Rossem and D. Meekers, An evaluation of the
Eectiveness of Targeted Social Marketing to Promote Ado-
lescent Reproductive Health in Guinea, PSI Research Division
Working Paper no. 23, 1999.
[68]K.A.Atwood,S.B.Kennedy,S.Shamblenetal.,“Impact
of school-based HIV prevention program in post-conflict
Liberia,AIDS Education and Prevention,vol.24,no.1,pp.68
77, 2012.
[69] M. Visser, “Evaluation of the first AIDS kit, the AIDS and
lifestyle education programme for teenagers,” South African
Journal of Psychology, vol. 26, no. 2, pp. 103–113, 1996.
[70] C. T. Pedlow and M. P. Carey, “HIV sexual risk-reduction
interventions for youth: a review and methodological critique
of randomized controlled trials,Behavior Modification, vol.
27, no. 2, pp. 135–190, 2003.
[71] L. Robin, P. Dittus, D. Whitaker et al., “Behavioral interven-
tions to reduce incidence of HIV, STD, and pregnancy among
adolescents: a decade in review,Journal of Adolescent Health,
vol. 34, no. 1, pp. 3–26, 2004.
[72] D.Kasprzyk,D.E.Montano,andM.Fishbein,“Application
of an integrated behavioral model to predict condom use: a
prospective study among high HIV risk groups,Journal of
Applied Social Psychology, vol. 28, no. 17, pp. 1557–1583, 1998.
[73] J. de Wit, L. Breeman, and L. Woertman, “Hoe beredeneerd is
seksueel gedrag van jongeren?” Tijdschrift voor Sociologie, vol.
29, no. 3, pp. 125–131, 2005.
[74] L. H. Dawson, M. C. Shih, C. de Moor, and L. Shrier, “Reasons
why adolescents and young adults have sex: associations with
psychological characteristics and sexual behavior,Journal of
Sex Research, vol. 45, no. 3, pp. 225–232, 2008.
[75] C. Underwood, J. Skinner, N. Osman, and H. Schwandt,
“Structural determinants of adolescent girls’ vulnerability to
HIV: views from community members in Botswana, Malawi,
and Mozambique,Social Science and Medicine, vol. 73, no. 2,
pp. 343–350, 2011.
[76] S. Leclerc-Madlala, “Age-disparate and intergenerational sex
in southern Africa: the dynamics of hypervulnerability,AIDS,
vol. 22, supplement 4, pp. S17–S25, 2008.
[77] K. Hawkins, N. Price, and F. Mussa, “Milking the cow: young
women’s construction of identity and risk in age-disparate
transactional sexual relationships in Maputo, Mozambique,”
Global Public Health, vol. 4, no. 2, pp. 169–182, 2009.
[78] M. Hunter, “The materiality of everyday sex: thinking beyond
‘prostitution,African Studies, vol. 61, no. 1, pp. 99–120, 2002.
[79] M. Silberschmidt and V. Rasch, “Adolescent girls, illegal
abortions and “sugar-daddies” in Dar es Salaam: vulnerable
victims and active social agents,Social Science and Medicine,
vol. 52, no. 12, pp. 1815–1826, 2001.
[80] J.Wamoyi,A.Fenwick,M.Urassa,B.Zaba,andW.Stones,
“‘Women’s bodies are shops’: beliefs about transactional ex
and implications for understanding gender power and HIV
prevention in Tanzania,Archives of Sexual Behavior, vol. 40,
no. 1, pp. 5–15, 2011.
[81] J. Wamoyi, D. Wight, M. Plummer, G. H. Mshana, and D.
Ross, “Transactional sex amongst young people in rural north-
ern Tanzania: an ethnography of young women’s motivations
and negotiation,Reproductive Health, vol. 7, no. 1, article 2,
2010.
[82] B. Bastard, L. Cardia-Von`
eche, D. Peto, and L. van Campen-
houdt, “Relationships between sexual partners and ways of
adapting to the risk of AIDS: landmarks for a relationship-
oriented conceptual framework,” in Sexual Interactions and
HIV Risk New Conceptual Perspectives in European Research,L.
van Campenhoudt, M. Cohen, G. Guizzardi, and D. Hausser,
Eds., Taylor & Francis, London, UK, 1997.
[83] E. Sumartojo, “Structural factors in HIV prevention: concepts,
examples, and implications for research,AIDS, vol. 14,
supplement 1, pp. S3–S10, 2000.
[84] G. R. Gupta, J. O. Parkhurst, J. A. Ogden, P. Aggleton, and
A. Mahal, “Structural approaches to HIV prevention,The
Lancet, vol. 372, no. 9640, pp. 764–775, 2008.
18 AIDS Research and Treatment
[85] A. Harrison, M. L. Newell, J. Imrie, and G. Hoddinott,
“HIV prevention for South African youth: which interventions
work? A systematic review of current evidence,BMC Public
Health, vol. 10, article 102, 2010.
[86] A. C. Gielen and D. Sleet, “Application of behavior-change
theories and methods to injury prevention,Epidemiologic
Reviews, vol. 25, pp. 65–76, 2003.
[87] A. Baban and C. Crciun, “Changing health-risk behaviors: a
review of theory and evidence-based interventions in health
psychology,Journal of Cognitive and Behavioral Psychothera-
pies, vol. 7, no. 1, pp. 45–67, 2007.
... Given this, it is projected that new adolescent infections will increase by 13% annually leading to 3.5 million new infections by 2030 if interventions to address the drivers of HIV among young people are not scaled up [12]. Therefore, tailored HIV prevention programmes are essential in reversing the HIV epidemic among young people because they are contextual and can address structural factors that influence young people's sexual risk behaviour [13]. ...
... These interventions seek to understand the context of health-related behaviors and provide a theoretical framework for planning behavior change programmers [17]. Because they have a theoretical foundation, theory-based interventions provide a basis for understanding how cognitive abilities predict sexual behavior and are considered to be more efficacious than those that are not theory-based [13][14][15][16][17][18]. Additionally, theory when used to inform behavior change can aid in understanding factors influencing risky and safe sexual behavior and can be effective in establishing principles and address the dynamics of behavior change [19]. ...
... However, reviews of individual level theory-based HIV interventions have revealed that the success of these models is constrained by their inability to explicitly consider high-level behavioral connections [20]. The common theories and approaches used in HIV interventions include the I-Change model (ICM) [21], the Social Learning /Cognitive theory (SCT), the Theory of Reasoned Action/Planned Behaviour (TRA/TPB), the Stages of Change (SoC), the Social Ecological Model (SEM), the Health Belief Model (HBM) [13], and positive youth development (PYD) [22]. SCT posits that there is a reciprocal influence between behavioral patterns and the surrounding environment, a phenomenon referred to as reciprocal determinism [23]. ...
Article
Full-text available
Background: In Sub-Sahara Africa, young people aged between 15 and 24 years are disproportionately affected by the HIV pandemic and represent a growing population in need of sexual and reproductive health (SRH) services. Several theory-based HIV prevention interventions have been developed and implemented to reduce the risk of HIV infection transmission among young people and enhance positive sexual behaviours. However, there are few evidence syntheses that highlight the role of theory-based HIV and sexual health interventions in enhancing positive sexual behaviours among young people in Sub-Saharan Africa. This review aims to map evidence on the role of theory-based HIV prevention intervention in enhancing positive sexual behaviour outcomes and reducing risk factors among young people aged 10-24 years of age in Sub-Saharan Africa.
... Given this, it is projected that new adolescent infections will increase by 13% annually leading to 3.5 million new infections by 2030 if interventions to address the drivers of HIV among young people are not scaled up [12]. Therefore, tailored HIV prevention programmes are essential in reversing the HIV epidemic among young people because they are contextual and can address structural factors that in uence young people's sexual risk behaviour [13]. ...
... Also, many individual level health promotion interventions that are based on existing theories of behaviour change have been used in developing, implementing, and evaluating behaviour change for HIV-related interventions [16].These interventions seek to understand the context of health-related behaviours and provide a theoretical framework for planning behaviour change programmes [17]. Because they have a theoretical foundation, theory-based interventions provide a basis for understanding how cognitive abilities predict sexual behaviour and are considered to be more e cacious than those that are not theory-based [13,18]. Additionally, theory when used to inform behaviour change can aid in understanding factors in uencing risky and safe sexual behaviour and can be effective in establishing principles and address the dynamics of behaviour change [19]. ...
... However, reviews of individual level theory-based HIV interventions have revealed that the success of these models is constrained by their inability to explicitly consider high-level behavioural connections [20]. The common theories and approaches used in HIV interventions include the I-Change model (ICM) [21], the Social Learning /Cognitive theory (SCT), the Theory of Reasoned Action/Planned Behaviour (TRA/TPB), the Stages of Change (SoC), the Social Ecological Model (SEM), the Health Belief Model (HBM) [13], and positive youth development (PYD) [22]. SCT posits that there is a reciprocal in uence between behavioural patterns and the surrounding environment, a phenomenon referred to as reciprocal determinism [23]. ...
Preprint
Full-text available
Background In Sub-Sahara Africa, young people aged between 15 and 24 years are disproportionately affected by the HIV pandemic and represent a growing population in need of sexual and reproductive health (SRH) services. Several theory-based HIV prevention interventions have been developed and implemented to reduce the risk of HIV infection transmission among young people and enhance positive sexual behaviours. However, there are few evidence syntheses that highlight the role of theory-based HIV and sexual health interventions in enhancing positive sexual behaviours among young people in Sub-Saharan Africa. This review aims to map evidence on the role of theory-based HIV prevention intervention in enhancing positive sexual behaviour outcomes and reducing risk factors among young people aged 10–24 years of age in Sub-Saharan Africa. Methods and Analysis This scoping review will adopt the methodological framework of Arksey and O’Malley. We will identify several databases which will include PubMed, Scopus, MEDLINE, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), ProQuest One Academic, Web of Science, and Google scholar. We will search for relevant studies from 2012 onwards, written in English, and conducted in the SSA region. We will adopt a two-stage process where two independent reviewers will screen the titles and abstracts for eligibility after which they will carry out data extraction and analysis through an iterative process. This will be followed by a full-text screening of the articles from the selected titles and abstracts. Discussion Results from this scoping review can inform policy changes and guide future HIV programme developers to develop and implement effective theory-based HIV interventions among young people in SSA. It can provide insights on how theories can be combined to address complex behavioural characteristics. Importantly, the review will act as a backdrop to many theory-based HIV interventions that seek to integrate the positive youth development approach in existing HIV prevention programmes.
... Societal and cultural formatting and individual psychology, may be involved in the perception of HIV risk as well [4]. These factors need to be taken into account, because according to the Behavioral Change Theory, the perceived risk is the focal point to make behavioral changes [4,5,31]. To make the actual behavioral change, an accurate perception of risk is required [4,5]. ...
... To make the actual behavioral change, an accurate perception of risk is required [4,5]. To be able to achieve this, individuals need appropriate education, but also clear insight into the benefits and barriers to behavioral change [31]. ...
Article
Full-text available
Background HIV testing in the Northern Kosovo province is challenging, because the infrastructure is being rebuilt after the ethnic conflict. The purpose of this research was to examine self-perceived risk for acquiring HIV infection and factors associated with risk assessment among university students. Methods Students completed a questionnaire on socio-demographic data, knowledge about HIV prevention and transmission, attitudes toward people living with (PLHIV) and self-perceived risk for HIV infection. The self-perceived risk was categorized as low, unknown and high. Results The majority of students (72.5%) assessed their risk as low, 8.5% assessed their risk as high and 19.1% did not know their risk. Compared to low self-perceived risk, high self-perceived HIV risk was associated with being male, having lower knowledge about HIV prevention, less strong Segregation and protection attitude toward PLHIV, stronger Ignorance and indifference attitude toward PLHIV and positive opinion about gays/lesbians. Students who perceived own risk for acquiring HIV as high had lower knowledge about HIV transmission and prevention. However, those who were previously tested for HIV, despite their poorer knowledge about HIV prevention, assess their HIV-related risk as low. Conclusions Students assessed their risk of HIV infection mostly as low. Still, lower knowledge of HIV prevention has been consistently associated with a high and unknown risk of HIV. Moreover, being ignorant and indifferent about PLHIV was associated with increased self-perceived HIV risk. These findings highlight the need for continuous specialized HIV-related education to reduce fear and stigma of PLHIV and HIV testing as well as risky behaviors.
... An analysis of worksite physical activity interventions reported modest improvements in effectiveness when theories were utilized (Taylor et al., 2012). Newer syntheses have been more equivocal (Michielsen et al., 2012;Michie et al., 2014;Prestwich et al., 2014). One recent meta-analysis of physical activity interventions failed to find support for theory-informed approaches (Lock et al., 2020). ...
Article
Full-text available
Persuasive arguments for using theory have been influential in health behavior and health promotion research. The use of theory is expected to improve intervention outcomes and facilitate scientific advancement. However, current empirical evaluations of the benefits of theory have not consistently demonstrated strong effects. A lack of resolution on this matter can be attributed to several features of the current body of evidence. First, the use of theory may be confounded with other features that impact health-related outcomes. Second, measurement of theory use has not been reliable. Third, the field conflates models and theories. Lastly, the evidentiary status and applicability of theories are not considered. Addressing these challenges during the execution of meta-analyses and designing original research specifically to estimate the benefits of theory could improve research and practice.
... The model remains the most widely employed theory of health behavior [28] and the most commonly recognized approach in the health fi eld [29]. The theory is based on the understandings that a person will take health-related action if the person believes they are susceptible to the condition (perceived susceptibility); the condition has serious consequences (perceived severity); taking action would reduce their vulnerability to the condition (perceived benefi ts), and these benefi ts outweigh the cost of taking action (perceived barriers) [30]. The response is accepted more easily if the person is exposed to factors that prompt measures (cues to action) and is confi dent in their ability to act successfully (self-effi cacy) [31]. ...
Article
Objectives: The study was premised on the notion that insecticide-treated mosquito nets are positively related to malaria prevalence, and that knowledge mediates the relationship between insecticide-treated mosquito nets and malaria. Furthermore, household income was hypothesized to have a moderating effect on the direct and indirect relationships (through malaria knowledge) between insecticide-treated mosquito nets and the prevalence of malaria. Methods: The hypothesized relationships were examined using panel data collected from ten regions of Ethiopia during 2011-2015. Structural equation modeling and the random effect model were used to test the hypotheses. Statistical analyses were performed using Stata version 13.0. Results: The results were consistent with our proposed hypotheses, showing a significant relationship between the research variables. The findings suggest that malaria knowledge contributes to improving the relationship between insecticide-treated mosquito nets and malaria prevalence. A positively significant indirect effect (β = 0.47, p = 0.003) as well as direct effect (β = 0.28, p = 0.001) was revealed in the study. Furthermore, a positive impact of household income in strengthening the relationship between insecticide-treated mosquito nets and malaria through knowledge was reported, with a considerable value (β = 0.13, p = 0.000). The result also reveals differences in the outcome of malaria prevalence at different levels of household income category, where the indirect effect of insecticide-treated mosquito nets on malaria prevalence via malaria knowledge was positive and significant for households under the second-level income category (β = 0.15, p = 0.000). Conversely, the indirect effect of insecticide-treated mosquito nets on malaria prevalence via malaria knowledge was negative for the high level-income category (β = -0.14, p = 0.022). Besides, insignificant and negative relationships were reported for households under low-level income categories (β = 0.024, p = 0.539). Conclusion: The findings are potentially useful for the health sector to ensure success in infectious disease prevention and control, particularly malaria, and to explain how various factors contribute to the relationship.
Article
Full-text available
BACKGROUND: Sub-Saharan Africa (SSA) bears the greatest burden of adverse health outcomes linked to Household and Ambient Air Pollution (HAAP) with mortality rate of 187.1 per 100,000. Previous HAAP studies in SSA have focused on top-down supply based research on effectiveness of improved cook-stoves (ICS), their uptake, sustainability and safety among others. Little demand led HAAP research driven by community and bottom-up perspectives of the targeted poor communities has been done.. We conducted a qualitative study aimed at understanding community perspectives on barriers and facilitators to uptake of HAAP reduction strategies in a rural village in southern Malawi. METHODS: Our study was baseline of a larger project that used acommunity-led-mixed-methods participatory settings approach’ to determine if a suite of interventions would reduce HAAP in a Malawian rural setting. Our data collection approaches included focus group discussions (FGDs), and photo-voice with consenting community members.. Data on community practices contributing to household and ambient pollution facilitators and barriers were isolated. FGDs were recorded, transcribed verbatim in the local language and translated into English using standard procedures. Transcripts and notes were analyzed thematically aided by Dedoose qualitative data analysis software (version 9.0.54). RESULTS: A majority of study participants were aware of health and environmental risks associated with behaviours and practices such as usage of the traditional three-stone-fire for cooking and open burning of household and agricultural waste. However, limited access to improved cook stoves due to availability, and affordability were cited as key barriers to adoption and uptake.. On the other hand, study participants mentioned perceived health benefits from using HAAP reduction technologies, their efficiency when cooking or lighting, portability and durability among others as facilitators of adoption and uptake. CONCLUSION: Studies and interventions aimed to empower, change or modify HAAP related health risk in poor communities of SSA such as Nsungwi village in Malawi are integral for equity in development and for targeted gains in global health. The current study presents hope that if grassroots communities are empowered, involved and given the opportunity to decide, map out and guide their developmental options; development change is possible.. The study also demonstrates that if communities are allowed to own projects there is room for sustainability of efforts.
Article
Full-text available
We sought to assess stakeholder acceptability of a risk reduction behavioural model [RRBM] designed for adolescent HIV risk reduction and whose efficacy we tested in selected schools in Northern Malawi. We used qualitative procedures in sampling, data collection and data analysis. Our data collection instrument was the semi-structured interview and we applied thematic content analysis to establish stakeholder evaluations of the RRBM model. The study population included10 experts working within key organizations and teachers from two schools. The organizations were sampled as providers, implementers and designers of interventions while schools were sampled as providers and consumers of interventions. Individual study participants were recruited purposively through snowball sampling. Results showed consensus among participants on the acceptability, potential for scale up and likelihood of model sustainability if implemented. In essence areas to consider improving and modifying included: focus on the rural girl child and inclusion of an economic empowerment component to target the underlying root causes of HIV risk taking behavior. Stakeholders also recommended intervention extension to out of school adolescent groups as well as involvement of traditional leaders. Involvement of parents and religious leaders in intervention scale up was also highlighted. The study serves as a benchmark for stakeholder involvement in model and intervention evaluation and as a link between researchers and project implementers, designers as well as policy makers to bridge the research to policy and practice gap.
Article
Full-text available
Background: eHealth systems provide new opportunities for the delivery of antiretroviral therapy (ART) adherence interventions for adolescents. They may be more effective if grounded in health behavior theories and behavior change techniques (BCTs). Prior reviews have examined the effectiveness, feasibility, and acceptability of these eHealth systems. However, studies have not systematically explored the use of health behavior theories and BCTs in the design of these applications. Objective: The purpose of this review was to explore whether health behavior theories and BCTs were considered to ground designs of eHealth systems supporting adolescents' (10-24 years) ART adherence. More specifically, we examined which specific theories and BCTs were applied, and how these BCTs were implemented as design features. Additionally, we investigated the quality and effect of eHealth systems. Methods: A systematic search was performed on IEEE Xplore, ACM, ScienceDirect, PubMed, Scopus, and Web of Science databases from 2000 to 2020. Theory use and BCTs were coded using the Theory Coding Scheme and the Behavior Change Technique Taxonomy version 1 (BCTTv1), respectively. Design features were identified using the lenses of motivational design for mobile health (mHealth). The number of BCTs and design features for each eHealth system and their prevalence across all systems were assessed. Results: This review identified 16 eHealth systems aiming to support ART adherence among adolescents. System types include SMS text message reminders (n=6), phone call reminders (n=3), combined SMS text message and phone call reminders (n=1), electronic adherence monitoring devices (n=3), smartphone apps (n=1), smartphone serious games (n=1), gamified smartphone apps (n=1), leveraging existing social media (n=2), web-based applications (n=1), videoconferencing (n=1), and desktop applications (n=1). Nine were grounded in theory, of which 3 used theories extensively. The impact of adolescent developmental changes on ART adherence was not made explicit. A total of 42 different BCTs and 24 motivational design features were used across systems. Ten systems reported positive effects on 1 or more outcomes; however, of these ten systems, only 3 reported exclusively positive effects on all the outcomes they measured. As much as 6 out of 16 reported purely no effect in all the outcomes measured. Conclusions: Basic applications (SMS text messaging and phone calls) were most frequent, although more advanced systems such as mobile apps and games are also emerging. This review indicated gaps in the use of theory and BCTs, and particularly the impact of developmental changes on ART adherence was not adequately considered. Together with adopting a developmental orientation, future eHealth systems should effectively leverage health theories and consider developing more advanced systems that open the door to using BCTs more comprehensively. Overall, the impact of eHealth systems on adolescent ART adherence and its mediators is promising, but conclusive evidence on effect still needs to be provided.
Article
Using theory as a framework for community-based interventions in African American members provides the principles and guidance needed to generate nursing knowledge. However, choosing an appropriate theoretical framework to guide community-based interventions can be challenging. The aim of this manuscript is to examine the use of three historical models or theories (the Health Belief Model, the Theory of Planned Behavior, and Bandura's Self-Efficacy Theory), which are still being used today, to better understand their applications in community-based interventions.
Article
Full-text available
Presents an integrative theoretical framework to explain and to predict psychological changes achieved by different modes of treatment. This theory states that psychological procedures, whatever their form, alter the level and strength of self-efficacy. It is hypothesized that expectations of personal efficacy determine whether coping behavior will be initiated, how much effort will be expended, and how long it will be sustained in the face of obstacles and aversive experiences. Persistence in activities that are subjectively threatening but in fact relatively safe produces, through experiences of mastery, further enhancement of self-efficacy and corresponding reductions in defensive behavior. In the proposed model, expectations of personal efficacy are derived from 4 principal sources of information: performance accomplishments, vicarious experience, verbal persuasion, and physiological states. Factors influencing the cognitive processing of efficacy information arise from enactive, vicarious, exhortative, and emotive sources. The differential power of diverse therapeutic procedures is analyzed in terms of the postulated cognitive mechanism of operation. Findings are reported from microanalyses of enactive, vicarious, and emotive modes of treatment that support the hypothesized relationship between perceived self-efficacy and behavioral changes. (21/2 p ref)
Article
CONTEXT. Few rigorous evaluations have been conducted of locally designed, culturally consistent adolescent reproductive health programs. \ METHODS: A quasi-experimental research design was used to measure behavioral changes associated with a culturally consistent reproductive health program for young people in Kenya. Baseline and endline surveys were conducted in 1997 and 2001,respectively in the project and control areas. Multivariate analysis was used to assess whether the project was associated with changes in young people's sexual initiation, safer-sex behavior and discussion of reproductive health issues with adults. RESULTS: The 36-month project was associated with considerable changes in young people's sexual and reproductive health-related behavior, but behavior change differed by gender. Females in the project site were significantly more likely than those in the control site to adopt secondary abstinence (odds ratio, 3.3) and less likely to have had three or more sex partners (0.1). Males in the project site were more likely to use condoms than those in the control site (3.7). Both moles and females in the project site were more likely to discuss sexual and reproductive health issues with a nonparent adult than were young people in the control site (1.9 and 5.5, respectively). CONCLUSIONS: Interventions that adopt to indigenous traditions con be both acceptable to communities and associated with significant changes in young people's behavior.
Article
A school health education programme in primary schools aimed at AIDS prevention in Soroti district of Uganda emphasized improved access to information, improved peer interaction and improved quality of performance of the existing school health education system. A cross-sectional sample of students, average age 14 years, in their final year of primary school was surveyed before and after 2 years of interventions. The percentage of students who stated they had been sexually active fell from 42.9% (123 of 287) to 11.1% (31 of 280) in the intervention group, while no significant change was recorded in a control group. The changes remained significant when segregated by gender or rural and urban location. Students in the intervention group tended to speak to peers and teachers more often about sexual matters. Increases in reasons given by students for abstaining from sex over the study period occurred in those reasons associated with a rational decisionmaking model rather than a punishment model. A primary school health education programme which emphasizes social interaction methods can be effective in increasing sexual abstinence among school-going adolescents in Uganda. The programme does not have to be expensive and can be implemented with staff present in most districts in the region.
Book
To understand the way children develop, Bronfenbrenner believes that it is necessary to observe their behavior in natural settings, while they are interacting with familiar adults over prolonged periods of time. His book offers an important blueprint for constructing a new and ecologically valid psychology of development.
Article
Context: A 1997-1998 multimedia campaign promoted sexual responsibility among young people in Zimbabwe, while strengthening their access to reproductive health services by training providers. Methods: Baseline and follow-up surveys, each involving approximately 1,400 women and men aged 10-24, were conducted in five campaign and two comparison sites. Logistic regression analyses were conducted to assess exposure to the campaign and its impact on young people's reproductive health knowledge and discussion, safer sexual behaviors and use of services. Results: The campaign reached 97% of the youth audience. Awareness of contraceptive methods increased in campaign areas, but general reproductive health knowledge changed little. As a result of the campaign, 80% of respondents had discussions about reproductive health-with friends (72%), siblings (49%), parents (44%), teachers (34%/) or partners (28%). In response to the campaign, young people in campaign areas were 2.5 times as likely as those in comparison sites to report saying no to sex, 4.7 times as likely to visit a health center and 14.0 times as likely to visit a youth center. Contraceptive use at last sex rose significantly in campaign areas (from 56% to 67%). Launch events, leaflets and dramas were the most influential campaign components. The more components respondents were exposed to, the more likely they were to take action in response. Conclusions: A multimedia approach increases the reach and impact of reproductive health interventions directed to young people. Building community support for behavior change also is essential, to ensure that young people find approval for their actions and have access to services.