ArticlePDF Available

Abstract and Figures

Objectives: In 2002, Canada undertook its first national survey on mental health and well-being, including detailed questioning on service use. Mental disorders may affect more than 1 person in 5, according to past regional and less comprehensive mental health surveys in Canada, and most do not seek help. Individual determinants play a role in health resource use for mental health (MH) reasons. This study aimed to provide prevalence rates of health care service use for MH reasons by province and according to service type and to examine determinants of MH service use in Canada and across provinces. Methods: We assessed the prevalence rate (95% confidence interval [CI]) of past-year health service use for MH reasons, and we assessed potential determinants cross-sectionally, using data collected from the Statistics Canada Canadian Community Health Survey: Mental Health and Well-Being (CCHS 1.2). We estimated models of resource use with logistic regression (using odds ratios and 95%CIs). Results: The prevalence of health service use for MH reasons in Canada was 9.5% (95%CI, 9.1% to 10.0%). The highest rates, on average, were observed in Nova Scotia (11.3%; 95%CI, 9.6% to 13.0%) and British Columbia (11.3%; 95%CI, 10.1% to 12.6%). The lowest rates were observed in Newfoundland and Labrador (6.7%; 95%CI, 5.3% to 8.0%) and Prince Edward Island (7.5%; 95%CI, 5.8% to 9.3%). In Canada, the general medical system was the most used for MH reasons (5.4%; 95%CI, 5.1% to 5.8%) and the voluntary network sector was the least used (1.9%; 95%CI, 1.7% to 2.1%). No difference was observed in the rate of service use between specialty MH (3.5%; 95%CI, 3.2% to 3.8%) and other professional providers (4.0%; 95%CI, 3.7% to 4.3%). In multivariate analyses, after adjusting for age and sex, the presence of a mental disorder was a consistent predictor of health service use for MH across the provinces. Conclusions: There is up to a twofold difference in the type of service used for MH reasons across provinces. The primary care general medical system is the most widely used service for MH. Need remains the strongest predictor of use, especially when a mental disorder is present. Barriers to access, such as income, were not identified in all provinces. Different sociodemographic variables played a role in service seeking within each province. This suggests different attitudes toward common mental disorders and toward care seeking among the provinces.
Content may be subject to copyright.
CAPE Special Issue
Service Use for Mental Health Reasons:
Cross-Provincial Differences in Rates, Determinants,
and Equity of Access
Helen-Maria Vasiliadis, PhD
1
, Alain Lesage, MD
2
, Carol Adair, PhD
3
, Richard Boyer, PhD
4
614
W Can J Psychiatry, Vol 50, No 10, September 2005
Objectives: In 2002, Canada undertook its first national survey on mental health and well-being, including
detailed questioning on service use. Mental disorders may affect more than 1 person in 5, according to past
regional and less comprehensive mental health surveys in Canada, and most do not seek help. Individual
determinants play a role in health resource use for mental health (MH) reasons. This study aimed to provide
prevalence rates of health care service use for MH reasons by province and according to service type and to
examine determinants of MH service use in Canada and across provinces.
Methods: We assessed the prevalence rate (95% confidence interval [CI]) of past-year health service use for
MH reasons, and we assessed potential determinants cross-sectionally, using data collected from the Statistics
Canada Canadian Community Health Survey: Mental Health and Well-Being (CCHS 1.2). We estimated models
of resource use with logistic regression (using odds ratios and 95%CIs).
Results: The prevalence of health service use for MH reasons in Canada was 9.5% (95%CI, 9.1% to 10.0%).
The highest rates, on average, were observed in Nova Scotia (11.3%; 95%CI, 9.6% to 13.0%) and British
Columbia (11.3%; 95%CI, 10.1% to 12.6%). The lowest rates were observed in Newfoundland and Labrador
(6.7%; 95%CI, 5.3% to 8.0%) and Prince Edward Island (7.5%; 95%CI, 5.8% to 9.3%). In Canada, the general
medical system was the most used for MH reasons (5.4%; 95%CI, 5.1% to 5.8%) and the voluntary network
sector was the least used (1.9%; 95%CI, 1.7% to 2.1%). No difference was observed in the rate of service use
between specialty MH (3.5%; 95%CI, 3.2% to 3.8%) and other professional providers (4.0%; 95%CI, 3.7% to
4.3%). In multivariate analyses, after adjusting for age and sex, the presence of a mental disorder was a
consistent predictor of health service use for MH across the provinces.
Conclusions: There is up to a twofold difference in the type of service used for MH reasons across provinces.
The primary care general medical system is the most widely used service for MH. Need remains the strongest
predictor of use, especially when a mental disorder is present. Barriers to access, such as income, were not
identified in all provinces. Different sociodemographic variables played a role in service seeking within each
province. This suggests different attitudes toward common mental disorders and toward care seeking among the
provinces.
(Can J Psychiatry 2005;50:614–619)
Information on funding and support and author affililations appears at the end of the article.
Clinical Implications
·
Need is the strongest predictor of help seeking for MH reasons.
·
Different sociodemographic determinants seem to play a role in health service use among the provinces.
Limitations
·
The cross-sectional study design precludes examination of whether needs were met.
·
The lifetime trajectory of service use and the sequence of shared mental health care cannot be established.
·
We did not assess the perceived need for individual care in terms of preferred types of interventions or expert
assessment of need for care and services in this large community survey.
Key Words: mental health, service use
M
any surveys in North America and Europe have indi
-
cated that mental disorders affect nearly 1 person in 5
each year (1–3) and that most (60% to 75%) do not seek
help (1–5). In the absence of an expert assessment of the
patient’s evaluated need for care, the presence of a disorder
cannot automaticallybe equated with a need for care (6). It has
been recommended that need should be defined by dimen
-
sions of distress and dysfunction, as well as by the perception
of need (3). Service use however is not determined only by
need. In addition to acceptability issues (for example, attitude
toward illness or toward the health care system), the most fre
-
quent reason given by affected individuals for not consulting
(72%) or for treatment dropout (58%) is the belief that the dis
-
order will go away by itself or that they can manage on their
own (2). Of those not seeking help, 45% reported that they
thought consulting would not help (2). Predisposing variables
such as age (7–12), sex (1,4,10,11,13–15), marital sta
-
tus (10,11,16–21), and education (22,23) but also enabling or
barrier factors such as income (24), rural vs urban location
(2,25,26), and social support (27–30) have also been shown to
play a role in help-seeking in many studies. In one Canadian
regional study, need was the strongest predictor (18), with sex
and perceived MH as significant, although less strong,
predictors.
One-year rates of service use for MH reasons have been
reported worldwide (1,5,10,31–36). The only Canadian stud
-
ies available to date have reported rates in the order of 12.7%
in the 1980s in Edmonton (37), 8.6% in 1990 in Ontario (1),
and up to 14.5% in the east end of Montreal (14). In the US, the
5-site ECA Study reported a 14.7% rate of service use (4). A
more recent Montreal survey reported various 1-year preva
-
lence rates of use for GPs (7%), psychologists (5%), and psy
-
chiatrists (2.7%) (38). Service use estimates are not entirely
comparable across these previous Canadian studies because
of differences in populations, time frames, questionnaire
items, and data collection methods. The CCHS 1.2 provided,
for the first time, an opportunity to examine variation in ser
-
vice use for MH concerns from data that were collected con
-
sistently across all provinces.
The objectives of this brief report are, first, to provide the
national and provincial prevalence rates of service use for MH
reasons by type of service and, second, to examine individual-
level determinants of MH service use in Canada and across the
provinces.
Methods
Data
We analyzed cross-sectional data on health care resource use
for MH reasons and potential determinants of MH service use,
as collected by Statistics Canada in the CCHS 1.2. The study
population comprised people aged 15 years and over living in
private occupied dwellings in the 10 provinces (n = 36 984
respondents). More details on content and survey methods are
presented in the methods paper of this issue (39) and
elsewhere (40).
Dependent Outcome: Past-Year Health Care Service Use
For MH Reasons
The dependent variable of interest in our study was service use
for MH reasons in the past 12 months in Canada and by prov
-
ince. We also collected information on the type of profes
-
sional service used.
Health service use in the past 12 months for MH reasons was
grouped according to the following classifications, as previ
-
ously reported (4,14): 1) specialty MH services (a psychiatrist
or psychologist); 2) general medical system (GP or family
doctor) or other medical specialist; 3) other professional
(nurse, social worker, religious advisor, or other); and 4) vol
-
untary support network (internet support group or chat room,
self-help group, or telephone help-line).
Service Use for Mental Health Reasons: Cross-Provincial Differences in Rates, Determinants, and Equity of Access
Can J Psychiatry, Vol 50, No 10, September 2005 W 615
Abbreviations used in this article
AD anxiety disorder
ADD addictions
BAR barriers to service use
CC chronic condition
CIHR Canadian Institutes of Health Research
CCHS 1.2 Canadian Community Health Survey: Mental
Health and Well-Being
CI confidence interval
COB country of birth
DIS distress
DSB disability
ECA Epidemiologic Catchment Area
EDU education
GP general practitioner
INT interference
LNG language spoken
MD mood disorder
MH mental health
MS marital status
OR odds ratio
REV household income
SRH self-rated health
SUI suicidal ideation
SUPP support
U unmet mental health need
Independent Variables
We examined individual determinants of resource use for MH
reasons from all the variables collected in the CCHS 1.2 in
Canada and in each province, using Andersen’s classic model
of predisposing, enabling, and need factors (41). Predisposing
variables included age, sex, marital status, education,
language, country of birth, and cultural or ethnic origin.
Enabling or impeding factors studied included urban or rural
area of residence, tangible social support, affection, positive
social interaction, emotional or informational support, per
-
ceived unmet MH need, and accessibility, acceptability, and
availability barriers (summarized as barriers) to resource use.
Need factors included standardized interview questions
designed to detect, with high probability, the presence of a
mental disorder (40), including depression, mania, panic dis
-
order, panic attack, agoraphobia, and social phobia, or an eat
-
ing disorder and included questions about the extent to which
the mental disorder caused interference with life, as well as
suicidal thoughts and chronic medical conditions. Other need
factors studied were distress, self-perceived stress, ability to
handle unexpected problems, and ability to handle day-to-day
demands (summarized as distress). We studied psychological
well-being, self-rated health, life satisfaction, and self-rated
physical and mental health (summarized as self-rated health).
We also examined the presence of a problem with gambling,
alcohol, or illicit drug dependency (summarized as addiction)
and whether addictions (alcohol or illicit drugs) caused inter
-
ference with life. We considered variables reporting on the
impact of health problems on participation and activity
limitation and whether the respondent needed help for a series
of tasks or had difficulty with social situations (summarized as
disability).
Statistical Modelling
We used logistic regression to model overall service use as a
function of individual determinants in Canada and by prov-
ince.We did not observe multicollinearity among the vari
-
ables. We chose final predictive logistic regression models,
using a stepwise selection approach with a 0.10 level of signif
-
icance to enter the model and a 0.05 significance level to stay
in the model. We also included age and sex in the final models.
We obtained estimates (95%CI) from the BOOTVAR pro
-
gram developed by Statistics Canada (42).
Results
Lifetime and Past-Year Prevalence of Mental Disorders
The prevalence rates of ever having a specified mental dis
-
order and of having the disorder in the past year were 7.3%
(95%CI, 6.9% to 7.7%) and 4.8% (95%CI, 4.4% to 5.1%) for
depression, 1.4% (95%CI, 1.2% to 1.6%) and 1.0% (95%CI,
0.8% to 1.1%) for mania, 2.1% (95%CI, 1.9% to 2.3%) and
1.5% (95%CI, 1.3% to 1.7%) for panic disorder, 12.0%
(95%CI, 11.5% to 12.5%) and 7.8% (95%CI, 7.4% to 8.2%)
for panic attacks, 4.7% (95%CI, 4.4% to 5.0%) and 3.0%
(95%CI, 2.7% to 3.2%) for social phobia, and 0.7% (95%CI,
0.6% to 0.8%) and 0.7% (95%CI, 0.6% to 0.9%) for agora
-
phobia, respectively.
616
W Can J Psychiatry, Vol 50, No 10, September 2005
The Canadian Journal of Psychiatry—CAPE Special Issue
Table 1 Past-year prevalence by type of service used for MH reasons
Region Any type of service use Specialty MH General medical Other professional Voluntary network
% (95%CI) % (95%CI) % (95%CI) % (95%CI) % (95%CI)
Canada 9.5 (9.1–10.0) 3.5 (3.2–3.8) 5.4 (5.1–5.8) 4.0 (3.7–4.3) 1.9 (1.7–2.1)
NL 6.7 (5.3–8.0) 1.8 (1.0–2.5) 4.8 (3.5–6.0) 2.8 (1.7–3.8) 0.8 (0.3–1.3)
PEl 7.5 (5.8–9.3) 1.7 (0.9–2.6) 3.1 (2.1–4.1) 3.3 (2.2–4.5) 3.2 (1.9–4.4)
NS 11.3 (9.6–13.0) 3.8 (2.8–4.9) 7.6 (6.4–8.9) 3.4 (2.7–4.2) 1.7 (1.1–2.4)
NB 9.5 (7.9–11.0) 3.9 (3.0–4.8) 5.2 (4.0–6.5) 2.8 (2.0–3.6) 1.3 (0.7–1.8)
Que 9.6 (8.4–10.7) 4.6 (3.9–5.3) 4.9 (4.2–5.7) 3.7 (2.8–4.5) 1.6 (1.2 –2.1)
Ont 8.7 (8.1–9.4) 3.1 (2.7–3.5) 5.4 (4.9–5.9) 3.7 (3.3–4.1) 1.6 (1.4 –1.9)
Man 10.5 (8.8–12.2) 3.4 (2.3–4.5) 5.3 (4.0–6.6) 4.7 (3.6–5.9) 2.3 (1.4–3.1)
Sask 9.8 (8.3–11.3) 2.5 (1.7–3.4) 4.5 (3.5–5.5) 5.0 (3.8–6.1) 2.9 (1.9 –3.9)
Alta 9.7 (8.4–11.1) 3.4 (2.6–4.3) 5.1 (4.1–6.1) 3.8 (3.1–4.5) 2.9 (2.1–3.6)
BC 11.3 (10.1–12.6) 3.3 (2.6–4.0) 6.6 (5.6–7.6) 5.7 (4.8–6.6) 2.5 (1.9–3.0
Prevalence rates (95%CI) are weighted and bootstrapped
Past-Year Prevalence of Service Use for MH Reasons
The past-year prevalence rate of any type of resource use for
MH reasons in Canada was 9.5% (95%CI, 9.1% to 10.0%),
and our data suggest differences among some of the provinces
(Table 1). Differences were observed wherein Nova Scotia
(11.3%; 95%CI, 9.6% to 13.0%) and British Columbia
(11.3%; 95%CI, 10.1% to 12.6%) had the higher rates and
Newfoundland and Labrador (6.7%; 95%CI, 5.3% to 8.0%)
and Prince Edward Island (7.5%; 95%CI, 5.8% to 9.3%) had
the lower rates. In Canada, the general medical system was the
most used for MH reasons, and the voluntary network sector
was the least used (Table 1). No difference in use was
observed between the specialty MH and other professional
services (Table 1). Shared care in Canada, indicated by use of
an MH specialist or other professional in addition to a general
medical provider, represented 31% of those reporting the use
of the general medical system. In turn, use of only the general
medical system for MH reasons accounted for 27%, and any
type of provider except the general medical system accounted
for 42%.
Determinants of Service Use for MH Reasons (Table 2)
Among the variables examined in the multivariate analysis,
the following were consistent predictors of health service use
in Canada after controlling for age, marital status, education,
country of birth, language spoken, social support, barriers in
accessing health services, distress, medical chronic condi
-
tions, and physical disability: female sex (OR 1.65; 95%CI,
1.46 to 1.87), self-rated MH (5 levels rated from poor to excel
-
lent, OR 0.63; 95%CI, 0.57 to 0.68), and the presence of a
mental disorder such as depression (past OR 1.80; 95%CI,
1.50 to 2.16; present OR 4.23; 95%CI, 3.39 to 5.27), mania
(past OR 1.81; 95%CI, 1.22 to 2.68; present OR 1.29; 95%CI,
0.82 to 2.032), panic attack (past OR 1.14; 95%CI, 0.96 to
1.35; present OR 2.02; 95%CI, 1.64 to 2.48), and panic dis-
order (past OR 2.21; 95%CI, 1.60 to 3.03; present OR 1.78;
95%CI, 1.22 to 2.60) compared with mental disorder never
diagnosed as well as past-year suicidal ideation (OR 1.52;
95%CI, 1.14 to 2.02). Most people in Canada with a mental
disorder or illicit drug dependence did not consult health
resources for MH reasons in the past year. In our study, only
33.7% of respondents with presence of lifetime depression
reported past-year use. The corresponding percentages were
42.3% for mania, 21.9% for panic attacks, 38.0% for panic
disorder, 28.6% for social phobia, and 28.8% for agorapho
-
bia. Of the people with suicidal ideation and drug dependency
within the past year, only 44.1% and 37.3% consulted a
Service Use for Mental Health Reasons: Cross-Provincial Differences in Rates, Determinants, and Equity of Access
Can J Psychiatry, Vol 50, No 10, September 2005 W 617
Table 2 Summary determinants of type of health care services used for MH reasons across Canada
Region Important determinants of any type of services used
Predisposing factors Enabling factors Need factors
Age Sex MS EDU COB Race LNG SUPP BAR U SRH DIS CC MD AD SUI ADD INT DSB
Canada
Ö
Ö Ö Ö Ö
Ö ÖÖÖÖÖÖÖ
*
ÖÖ Ö
NL Ö* Ö*
ÖÖÖ Ö
PEI Ö* Ö*
NS Ö* Ö
ÖÖÖ Ö
*
NB Ö Ö
ÖÖ Ö
*
Que Ö* ÖÖÖ Ö
ÖÖ ÖÖÖ Ö
Ont Ö ÖÖÖÖ
ÖÖÖÖ Ö
Man Ö Ö*
ÖÖÖ
*
Sask Ö Ö*
ÖÖÖ Ö
*
Alta Ö* Ö
ÖÖÖ Ö
BC Ö* Ö ÖÖ
ÖÖÖÖÖÖ
Ö*: Not significant after adjusting for all other variables in the model. MD includes depression and mania; AD includes agoraphobia, social phobia, panic
attack, panic disorder, and eating disorder.
Household income and urban or rural variables are not presented, since they were not significant.
service, respectively. Further, of those for whom alcohol or
illicit drug dependency caused interference with daily life,
only 26.4% and 26.7%, respectively consulted a service.
Discussion
In this study, the general medical system was the most widely
consulted service for MH reasons in Canada, as reported in
previous Canadian studies and in other countries
(4,10,18,36,37). In Canada, 5.4% of respondents used the
general medical system, and this did not differ significantly
among the provinces, with the exception of Prince Edward
Island having a lower rate, compared with Nova Scotia, Que
-
bec, Ontario, and British Columbia. The next most frequently
sought service in Canada was, on average, other professionals
(4.0%), except for Nova Scotia, New Brunswick, and Quebec,
where the specialty MH services (3.5%) were sought next.
Finally, in Canada, the voluntary support network was the
least used system, with 1.9% of respondents.
Our multivariate models of service use showed that, among
the variables studied, need was an important driver of
resource use, as expected (41). Apart from the presence of a
mental disorder, self-rated and perceived health was a signifi
-
cant predictor of service use in all provinces (41).
Among the predisposing factors, sex, marital status,
education, country of birth, and ethnicity (only for Quebec)
were significant factors. Similar to previous reports, girls and
women and single and divorced people were more likely to
use a health service for MH reasons (18,43). People with
lower educational levels (less than high school) were less
likely to use a service, as were people born outside Canada. It
has been reported elsewhere that differences in perceived
acceptability of using health services for MH reasons by eth-
nic group may explain service use differences (18). In our
study, however, ethnic status remained a significant predictor
even after adjusting for acceptability (for example, people
who prefer to manage on their own, who do not think MH ser
-
vices will help, or who have language problems). Our findings
suggest that a more specific issue, such as the level of aware
-
ness of MH issues and available resources, may play a role in
these groups. With respect to enabling factors, in Canada and
among the provinces, household income did not appear to
influence health service use.
Our results underlie the need for further study of individual
determinants that may explain differences in the type of
resource preferred and used for MH reasons across provinces.
Overall, however, at a time when Canadian planners are pay
-
ing greater attention to moderate mental disorders and to
increasing consultations for MH reasons (44), consistent with
other countries, most people with an MH condition do not
consult. Further, if they do consult, need is the most important
predictor of use. This suggests that access to health care ser
-
vices for MH reasons by individuals is relatively equitable
across provinces.
Funding and Support
This paper was supported by a CIHR grant to the authors and the
following investigators: Rebecca Fuhrer, Paula Goering, Elliot
Goldner, Nick Kates, Elisabeth Lin, Anne Rhodes, Renee
Robinson, and Raymond Tempier.
Acknowledgements
The research and analysis are based on data from Statistics
Canada, and the opinions expressed do not represent the views of
Statistics Canada. Dr Vasiliadis is a CIHR Strategic Training
Fellow.
References
1. Ontario Ministry of Health. Ontario Health Survey 1990 Mental Health
Supplement. Toronto: Ontario Ministry of Health; 1994.
2. Kessler RC, Berglund PA, Bruce J, Koch R, Laska EM, Leaf PJ, and others. The
prevalence and correlates of untreated serious mental illness. Health Serv Res
2001;36:987–1007.
3. Kovess V, Lesage AD, Boisguérin B, Fournier L, Lopez A, Ouellet A.
Planification et évaluation des besoins en santé mentale. Paris (FR):
Médecine-Sciences Flammarion; 2001.
4. Regier DA, Narrow WE, Rae DS, Manderscheid RW, Locke BZ, Goodwin F.
The de Facto US mental health and addictive disorders service system.
Epidemiologic Catchment Area prospective 1-year prevalence rates of disorders
and services. Arch Gen Psychiatry 1993;50:85–94.
5. Henderson S. The National Survey of Mental Health and Well-Being in
Australia: impact on policy. Can J Psychiatry 2002;47:819–24.
6. Bebbington PE, Brewin CR, Marsden L, Lesage AD. Measuring the need for
psychiatric treatment in the general population: the community version of the
MRC Needs for Care Assessment. Psychol Med 1996;26:229–36.
7. Leaf PJ, Bruce ML, Tischler GL, Freeman DH Jr, Weissman MM, Myers JK.
Factors affecting the utilization of specialty and general medical mental health
services. Med Care 1988;26(1):9–26.
8. Robins LN, Regier DA, editors. Psychiatric disorders in America: the
Epidemiological Catchment Area Study. Toronto (ON): Collier Macmillan;
1991.
9. Baudet MP. Depression. Health Rep 1996;4:11–24.
10. Lin E, Goering P, Offord DR, Campbell D, Boyle MH. The use of mental health
services in Ontario: epidemiologic findings. Can J Psychiatry 1996;41:572–7.
11. Bland RC, Newman SC, Orn H. Help-seeking for psychiatric disorders. Can J
Psychiatry 1997;42:935–42.
12. Fournier L, Lemoine O, Poulin C, Poirier L-R. EnquLte sur la santé mentale des
Montréalais. Volume1:Lasanté mentale et les besoins de soins des adultes.
Montreal (QC): Direction de la santé publique de Montréal; 2002.
13. Kessler RC, Frank RG, Edlund M, Katz SJ, Lin E, Leaf P. Differences in the use
of psychiatric outpatient services between the United States and Ontario. New
Engl J Med 1997;336:551–7.
14. Fournier L, Lesage AD, Toupin J, Cyr M. Telephone surveys as an alternative
for estimating prevalence of mental disorders and service utilization: a Montreal
catchment area study. Can J Psychiatry 1997;42:737–43.
15. Rhodes A, Goering P, To T, Williams J. Gender and outpatient mental health
service use. Soc Sci Med 2002;54:1–10.
16. Goodwin R, Hoven C, Lyons J, Stein M. Mental health service utilization in the
United States. The role of personality factors. Soc Psychiatry Psychiatr
Epidemiol 2002;37:561–6.
17. Katz SJ, Kessler RC, Frank RG, Leaf P, Lin E. Mental health care use,
morbidity, and socioeconomic status in the United States and Ontario. Inquiry
1997;34(1):38–49.
18. Lefebvre J, Lesage A, Cyr M, Toupin J. Factors related to utilization of services
for mental health reasons in Montreal, Canada. Soc Psychiatry Psychiatr
Epidemiol 1998;33:291–8.
19. Lesage AD, Goering P, Lin E. Family physicians and the mental health system: a
report from the Mental Health Supplement to the Ontario Health Survey. Can
Fam Physician 1997;43:251–6.
20. Olfson M, Marcus S, Druss B, Pincus HA. National trends in the use of
outpatient psychotherapy. Am J Psychiatry 2002;159:1914–20.
21. Parikh SV, Lin E, Lesage AD. Mental health treatment in Ontario: selected
comparisons between the primary care and specialty sectors. Can J Psychiatry
1997;42:929–34.
22. ten Have M, Vollebergh W, Bijl RV, de Graaf R. Predictors of incident care
service utilisation for mental health problems in the Dutch general population.
Soc Psychiatry Psychiatr Epidemiol 2001;36:141–9.
23. ten Have M, Oldehinkel A, Vollebergh W, Ormel J. Does educational
background explain inequalities in care service use for mental health problems in
the Dutch general population? Acta Psychiatrica Scand 2003;107:178–87.
24. Alegria M, Bijl R, Lin E, Walters E, Kessler RC. Income differences in persons
seeking outpatient treatment for mental disorders. A comparison of the United
States with Ontario and the Netherlands. Arch Gen Psychiatry 2000;57:383–91.
25. Human J, Wasem C. Rural mental health in America. Am Psychol
1991;46:232–9.
618
W Can J Psychiatry, Vol 50, No 10, September 2005
The Canadian Journal of Psychiatry—CAPE Special Issue
26. Tataryn D, Mustard C, Derksen S. The utilization of medical services for mental
health disorders Manitoba: 1991–1992. Winnipeg (MB): Manitoba Centre for
Health Policy and Evaluation, University of Manitoba; 1994.
27. Albert M, Becker T, McCrone P, Thornicroft G. Social networks and mental
health service utilisation-a literature review. Int J Soc Psychiatry
1998;44:248–66.
28. Pescosolido BA, Wright ER, Alegria M, Vera M. Social networks and patterns
of use among the poor with mental health problems in Puerto Rico. Med Care
1998;36:1057–72.
29. Carpentier N, Lesage AD, White D. Family influence on the first stages of the
trajectory of patients diagnosed with severe psychiatric disorders. Family
Relations 1999;48:397–403.
30. ten Have M, Vollebergh W, Bijl R, Ormel J. Combined effect of mental disorder
and low social support on care service use for mental health problems in the
Dutch general population. Psychol Med 2002;32:311–23.
31. Katz SJ, Kessler RC, Frank RG, Leaf P, Lin E, Edlund M. The use of outpatient
mental health services in the United States and Ontario: the impact of mental
morbidity and perceived need for care. Am J Public Health 1997;87:1136–43.
32. Kessler RC, Frank RG, Edlund M, Katz SJ, Lin E, Leaf P. Differences in the use
of psychiatric outpatient services between the United States and Ontario. New
Engl J Med 1997;336:551–7.
33. Bebbington PE, Brugha TS, Meltzer H, Jenkins R, Ceresa C, Farell M, and
others. Neurotic disorders and the receipt of psychiatric treatment. Psychol Med
2000;30:1369–76.
34. Bijl RV, Ravelli A. Psychiatric morbidity, service use, and need for care in the
general population: results of The Netherlands Mental Health Survey and
Incidence Study. Am J Public Health 2000;90:602–7.
35. Bijl RV, de Graaf R, Hiripi E, Kessler RC, Kohn R, Offord DR, and others. The
prevalence of treated and untreated mental disorders in five countries. Health
Affairs 2003;22:122–33.
36. ESEMeD/MHEDEA 2000 Investigators, European Study of the Epidemiology of
Mental Disorders (ESEMeD) Project. Use of mental health services in Europe:
results from the European Study of the Epidemiology of Mental Disorders
(ESEMeD) project. Acta Psychiatrica Scand Suppl 2004;420:47–54.
37. Bland RC, Newman SC, Orn H. Health care utilization for emotional problems:
results from a community survey. Can J Psychiatry 1990;35:397–400.
38. Direction de la santé publique de Montréal. Rapport annuel 2001 sur la santé de
la population. Garder notre monde en santé, un nouvel éclairage sur la santé
mentale des adultes montréalais. Montreal (QC): Direction de la santé publique;
2002.
39. Gravel R, BJland Y. The Canadian Community Health Survey: Mental Health
and Well-Being. Can J Psychiatry 2005;50:573–9.
40. Lesage A, Patten S. Overview, design and methods of the CCHS 1.2. Can J
Psychiatry 2005. Available: www.statcan.ca/english/concepts/health/
cycle1_2/content.htm. Accessed 2004 Sept.
41. Andersen RM. Revisiting the behavioral model and access to medical care: does
it matter? J Health Soc Behavior 1995;36:1–10.
42. Brisebois F, Bédard M. Formation pratique B l’utilisation de la méthode du
bootstrap. Centre interuniversitaire québécois de statistiques sociales (CIQSS),
21 mars, 2003.
43. Leaf PJ, Livingston BM, Tischler GL, Weissman MM, Holzer CE, Myers JK.
Contact with health professionals for the treatment of psychiatric and emotional
problems. Med Care 1985;23:1322–37.
44. Dewa CS, Rochefort DA, Rogers J, Goering P. Left behind by reform: the case
for improving primary care and mental health system services for people with
moderate mental illness. Appl Health Econ Health Policy 2003;2(1):43–54.
Manuscript received and accepted May 2005.
1
Postdoctoral Fellow, Department of Psychiatry, Université de Montréal,
Montreal, Quebec; Postdoctoral Fellow, Centre de Recherche
Fernand-Seguin, Hôpital Louis-H Lafontaine, Montreal, Quebec.
2
Professor, Department of Psychiatry, Université de Montréal, Montreal,
Quebec; Researcher, Centre de Recherche Fernand-Seguin, Hôpital
Louis-H Lafontaine, Montreal, Quebec.
3
Associate Professor, Departments of Psychiatry and Community Health
Sciences, University of Calgary, Calgary, Alberta.
4
Associate Professor, Department of Psychiatry, Université de Montréal,
Montreal, Quebec; Head of Social Psychiatry Unit, Centre de Recherche
Fernand-Seguin, Hôpital Louis-H Lafontaine, Montreal, Quebec.
Address for correspondence: DR H-M Vasiliadis, Unité 218, Pav Bédard,
Hôpital Louis-H Lafontaine, 7401 rue Hochelaga, Montreal QC H1N 3V2
e-mail: helen.vasiliadis@mail.mcgill.ca or
hvasiliadis.hlhl@ssss.gouv.qc.ca
Service Use for Mental Health Reasons: Cross-Provincial Differences in Rates, Determinants, and Equity of Access
Can J Psychiatry, Vol 50, No 10, September 2005 W 619
Résumé : L’utilisation des services pour des raisons de santé mentale :
les différences interprovinciales de taux, de déterminants et d’équité d’accès
Objectifs : En 2002, le Canada a entrepris sa première enquête nationale sur la santé mentale et le bien-être, qui comprenait des
questions détaillées sur l’utilisation des services. Les troubles mentaux peuvent affecter plus d’une personne sur 5, selon de précédentes
enquêtes régionales moins complètes sur la santé mentale au Canada, et la plupart ne recherchent pas d’aide. Les déterminants
individuels jouent un rôle dans l’utilisation des ressources de santé pour des raisons de santé mentale (SM). Trouver les taux de
prévalence de l’utilisation des services de santé pour des raisons de SM par province et selon le type de service, et examiner les
déterminants de l’utilisation des services de SM au Canada et dans les provinces.
Méthodes : Nous avons évalué le taux de prévalence (intervalle de confiance [IC] de 95 %) de l’utilisation des services pour des
raisons de SM dans l’année écoulée, et nous avons évalué les déterminants potentiels de façon transversale, à l ’aide des données
recueillies dans le volet Santé mentale et bien-être de l’Enquête sur la santé dans les collectivités canadiennes (ESCC, Cycle 1.2). Nous
avons estimé les modèles d’utilisation des ressources au moyen de la régression logistique (à l’aide de risques relatifs et d’IC de 95 %).
Résultats : La prévalence de l’utilisation des services pour des raisons de SM au Canada était de 9,5 % (IC 95 %, de 9,1 % à 10,0%).
Les taux les plus élevés, en moyenne, ont été observés en Nouvelle-Écosse à 11,3 %, (IC 95 %, de 9,6 % à 13,0%) et en
Colombie-Britannique, à 11,3 % (IC 95 %, de 10,1 % à 12,6 %), et les taux les plus faibles, à Terre-Neuve et au Labrador, à 6,7 %
(IC 95 %, de 5,3 % à 8,0 %) et à l’Île-du-Prince-Édouard, à 7,5 % (IC 95 %, de 5,8 % à 9,3 %). Au Canada, le système médical général
était le plus utilisé pour des raisons de SM, à 5,4 % (IC 95 %, de 5,1 % à 5,8 %), et le secteur des réseaux bénévoles était le moins
utilisé, à 1,9 % (IC 95 %, de 1,7 % à 2,1 %). Aucune différence n’a été observée dans le taux d’utilisation des services entre les
spécialistes de la SM (3,5 %, IC 95 %, de 3,2 % à 3,8 %) et d’autres fournisseurs professionnels (4,0 %, IC 95 %, de 3,7 % à 4,3 %).
Dans les analyses multivariées, après rajustement selon l’âge et le sexe, la présence d’un trouble mental était un prédicteur constant
d’utilisation des services de santé pour des raisons de SM dans toutes les provinces.
Conclusion : Il y a presque une double différence dans le type de service utilisé pour des raisons de SM dans les provinces. Le système
médical général des soins primaires est le service le plus largement utilisé pour la SM. Le besoin demeure le prédicteur le plus fort de
l’utilisation, en particulier la présence d’un trouble mental. Les obstacles à l’accès, comme le revenu, n’ont pas été identifiés dans
toutes les provinces. Différentes variables sociodémographiques ont joué un rôle dans le recours aux services, dans chaque province, ce
qui suggère différentes attitudes à l’endroit des troubles mentaux fréquents et du recours aux soins parmi les provinces.
... (RIVM et al. 2023) It has also been repeatedly reported that female gender is associated with more mental health service utilisation. (Lin et al., 1996;Rhodes et al., 2002;Smith et al., 2013;Vasiliadis et al., 2005;Wang et al., 2005) Men however are known to have more substance use disorders. (Seedat et al., 2009). ...
... Our finding on the sex differences in mental healthcare expenditures is in line with previous reports of young women reporting more mental health problems than young men and female sex being associated with mental health service utilisation. (Lin et al., 1996;Rhodes et al., 2002;RIVM, GGD, Nivel and ARQ Nationaal Psychotrauma Centrum, 2023;Smith et al., 2013;Van Droogenbroeck et al., 2018;Vasiliadis et al., 2005;Wang et al., 2005;World Health Organization, 2004) Our study only had data on sex as register in a person's passport and no data on self-reported gender. Assuming sex is often associated with assigned gender roles, sex could be seen as a proxy for gender in our study. ...
Article
Full-text available
Aims There is increasing concern over the mental distress of youth in recent years, which may impact mental healthcare utilisation. Here we aim to examine temporal patterns of mental healthcare expenditures in the Netherlands by age and sex in the period between 2015 and 2021. Methods Comprehensive data from health insurers in the Netherlands at the 3-number postal code level were used for cluster weighted linear regressions to examine temporal patterns of mental healthcare expenditure by age group (18–34 vs 35–65). The same was done for medical specialist and general practitioner costs. Additionally, we examined interactions with gender, by adding the interaction between age, year and sex to the model. Results Mental healthcare costs for younger adults (18–34) were higher than those for older adults (35–65) at all time points (β = 0.22, 95%-CI = 0.19; 0.25). Furthermore there was an increase in the strength of the association between younger age and mental healthcare costs from β = 0.22 (95%-CI = 0.19; 0.25) in 2015 to β = 0.37 (95%-CI = 0.35; 0.40) in 2021 ( p < 0.0001) and this was most evident in women ( p < 0.0001). Younger age was associated with lower general practitioner costs at all time points, but this association weakened over time. Younger age was also associated with lower medical specialist costs, which did not weaken over time. Conclusions Young adults, particularly young women, account for an increasing share of mental healthcare expenditure in the Netherlands. This suggests that mental distress in young people is increasingly met by a response from the medical system. To mitigate this trend a public mental health approach is needed.
... Worldwide estimates have shown that on average 20% of individuals with a lifetime SAD received any treatment [35]. Barriers to health service use and access to psychological services for common mental disorders like anxiety disorders include those related to geography (living in rural communities), language, ethnicity and race (diverse groups), as well as age (older adults) [36][37][38][39]. Social inequities have also been shown in the use of pharmacological and psychological interventions for SAD [40]. ...
Article
Full-text available
Background Social anxiety disorder (SAD) is one of the most prevalent anxiety disorders in Canada. Viable therapy options for the treatment of SAD include CBT being delivered virtually. In Australia, an innovative internet-delivered cognitive-behavioral therapy (iCBT) program for social anxiety has been developed, implemented, and demonstrated as effective. To make available high-quality and real-time evidence in response to the crucial need to access psychological services to meet population mental health needs, we propose to conduct a Canadian adaptation of the iCBT Shyness Program and to examine the program’s effectiveness, and implementation in two Canadian provinces (Quebec and Ontario). Methods The overall study design is a hybrid effectiveness-implementation study of a quasi-experimental parallel group trial. Prior to implementing the iCBT Shyness Program, it will undergo an initial adaptation to the Canadian context and focus groups will be conducted with key actor groups to discuss the adaptations to the graphics, narration of the lessons, and this to better reflect varying socio-cultural context among Canadian French- and English-speaking populations. We will evaluate the effectiveness of the program in three parallel pathways reflecting real-world pathways: (1) self-refer to the intervention; (2) recommended by a health professional without guidance; and (3) recommended by a health professional, with low-intensity guidance. Data collection will be carried out at baseline, at the beginning of each lesson, 12-week and 6-month follow-up. Outcomes measured will include anxiety and depressive symptoms, psychological distress, disability, as well as health service utilization and satisfaction. Semi-structured interviews will then be conducted with study participants and health care providers to explore facilitating factors and barriers to the implementation of the iCBT adapted program. Discussion This study will provide evidence on the effectiveness, barriers and facilitating factors to implementing a low-intensity iCBT in the Canadian context for SAD, which will bridge an important care gap for undeserved populations in Canada with SAD. Findings will inform the eventual scaling up of the program in community-based primary care across Canada. This would improve equity of the health care system by helping a large number of Canadians to timely access to mental health services. Trial registration clinicaltrials.gov NCT06403995. Prospectively registered on 05/03/2024.
... The adequate balance of local primary care and specialist mental health care has been evidenced in Finland by Pirkola et al., 2009 [73]. In addition to continuous suicide risk evaluation of outpatient psychotherapy patients, the identified variable may indicate a need for more publicly funded private practice psychiatrists in the areas where there is a relative shortage of mental health professionals in emergency departments, hospitals, and community care [74]. Another important system-level variable is the regional dependence budget [75], which funds addiction programs in Quebec at approximately $150 million annually, with $1.5 billion allocated for specialist mental health care [76]. ...
Article
Full-text available
Suicide is a complex, multidimensional event, and a significant challenge for prevention globally. Artificial intelligence (AI) and machine learning (ML) have emerged to harness large-scale datasets to enhance risk detection. In order to trust and act upon the predictions made with ML, more intuitive user interfaces must be validated. Thus, Interpretable AI is one of the crucial directions which could allow policy and decision makers to make reasonable and data-driven decisions that can ultimately lead to better mental health services planning and suicide prevention. This research aimed to develop sex-specific ML models for predicting the population risk of suicide and to interpret the models. Data were from the Quebec Integrated Chronic Disease Surveillance System (QICDSS), covering up to 98% of the population in the province of Quebec and containing data for over 20,000 suicides between 2002 and 2019. We employed a case-control study design. Individuals were considered cases if they were aged 15+ and had died from suicide between January 1st, 2002, and December 31st, 2019 (n = 18339). Controls were a random sample of 1% of the Quebec population aged 15+ of each year, who were alive on December 31st of each year, from 2002 to 2019 (n = 1,307,370). We included 103 features, including individual, programmatic, systemic, and community factors, measured up to five years prior to the suicide events. We trained and then validated the sex-specific predictive risk model using supervised ML algorithms, including Logistic Regression (LR), Random Forest (RF), Extreme Gradient Boosting (XGBoost) and Multilayer perceptron (MLP). We computed operating characteristics, including sensitivity, specificity, and Positive Predictive Value (PPV). We then generated receiver operating characteristic (ROC) curves to predict suicides and calibration measures. For interpretability, Shapley Additive Explanations (SHAP) was used with the global explanation to determine how much the input features contribute to the models’ output and the largest absolute coefficients. The best sensitivity was 0.38 with logistic regression for males and 0.47 with MLP for females; the XGBoost Classifier with 0.25 for males and 0.19 for females had the best precision (PPV). This study demonstrated the useful potential of explainable AI models as tools for decision-making and population-level suicide prevention actions. The ML models included individual, programmatic, systemic, and community levels variables available routinely to decision makers and planners in a public managed care system. Caution shall be exercised in the interpretation of variables associated in a predictive model since they are not causal, and other designs are required to establish the value of individual treatments. The next steps are to produce an intuitive user interface for decision makers, planners and other stakeholders like clinicians or representatives of families and people with live experience of suicidal behaviors or death by suicide. For example, how variations in the quality of local area primary care programs for depression or substance use disorders or increased in regional mental health and addiction budgets would lower suicide rates.
... Based on previous literature, the following sociodemographic characteristics such as sexual orientation, age, marital status, and the province of residence were used as covariates (Chiu et al., 2018;Packness et al., 2019;Pakula & Shoveller, 2013;Pharr et al., 2012;Vasiliadis et al., 2005;Wang et al., 2017). The variable "sexual orientation" was coded into 1 = heterosexual and 2 = non-heterosexual (gay or lesbian and bisexual). ...
Article
Full-text available
This study examined the intersectional effects of gender, race, and socioeconomic status (SES) on mental health service utilization (MHSU) employing the intersectionality framework. Data was extracted from Canadian Community Health Survey 2015–2016 with a total of 85,619 sample. Covariate adjusted prevalence ratio (aPR) and the predicted probability of MHSU from intersectional analyses were estimated using Poisson regression with robust variance. The prevalence of MHSU was 15.04% overall, 19.61% among women, 10.27% among men, 21.56% among white women and 11.12% among white men. The study observed overall significant intersectional effect of SES by gender and race on MHSU. For instance, white men with the lowest income were more likely to have MHSU compared to their counterparts. Similarly, the predicted probability of MHSU decreased with the increase of SES that varied by gender and race. Two-way and three-way interactions also confirmed statistical significance (p-interaction < 0.05) of intersectional effect of gender, race, and SES. The observed socioeconomic differences in MHSU across gender and racial groups can be explained by intersectionality.
... Another association was found between having a high school degree and suicidal behaviours, but the impact of this factor was not significant once substance use and depressive symptoms were added to the model. The sampling frame of our study, presenting oneself to psychiatric ED, may be at play, since people with better educational attainment are more likely to seek services for mental health reasons (Vasiliadis et al., 2005). A study using the Italian Mortality Database to include all deaths by suicide and natural causes between 2006 and 2008 found that people with higher school attainment had significantly increased odds ratios of suicide (Pompili et al., 2013). ...
Article
Patients with mood disorders are at high risk of suicidality, and emergency departments (ED) are essential in the management of this risk. This study aims to (1) describe the suicidal thoughts and behaviours of patients with mood disorders who come to ED; (2) assess the psychometric properties of the Suicidal Behaviours Questionnaire-Revised (SBQ-R) in a psychiatric ED; and (3) determine the best predictors of suicidality for these patients. A total of 300 participants with mood disorders recruited for the Signature Bank of the Institut universitaire en santé mentale de Montréal (IUSMM) were retained. Suicidality was assessed using the SBQ-R. Other clinical and demographic details were recorded. Bivariate analyses, correlations and multivariate regression analyses were conducted. SBQ-R's internal consistency, construct and convergent validities were also tested. In the Patient Health Questionnaire-9 (PHQ-9), 53.3% of the sample stated they had suicidal or self-harm thoughts in the last 2 weeks. The mean score obtained at the SBQ-R was 8.3. Multivariate analysis found that SBQ-R scores were associated with depressive symptoms and substance use, especially alcohol, accounting for 44.3% of the model variance. Cronbach's alpha was 0.81 [0.78, 0.84] and factor loadings for items 1–4 were 0.68, 0.88, 0.54, and 0.85, respectively. The confirmatory factor analysis indicated that the model fit the data well. The SBQ-R is a brief and valid instrument that can easily be used in busy emergency departments to assess suicide risk. Depressive symptoms and alcohol use shall also be assessed, as they are determinants of increased risk of suicidality.
Article
Objective: To examine how Project ECHO Integrated Mental and Physical Health (ECHO-IMPH) influences the attitudes and approaches of primary care providers and other participants towards patients with complex needs. Methods: An exploratory qualitative approach was undertaken using semi-structured interviews conducted between August 2020 and March 2021. One-hundred and sixty-four individuals from two cycles of ECHO-IMPH were invited to participate, and twenty-two (n=22) agreed to participate. Data were analyzed using the Braun & Clarke method for thematic analysis. Results: Three major themes were identified: 1) enhanced knowledge and skills, 2) changes in attitude and approach, 3) space for reflection and exploration. When participants were asked about areas for improvement, suggestions were focused on the structure of the sessions. Participants identified that ECHO-IMPH helped them to view patients more holistically, which led to greater patient-centered care in their practice. Additionally, skills gained in ECHO-IMPH gave participants concrete tools needed to have more empathetic interactions with patients with complex needs. Conclusions: ECHO-IMPH created a safe space for participants to reflect on their practice with patients with complex needs. Participants applied newly acquired knowledge and skills to provide more empathetic and patient-centered care for patients with complex needs. Based on the shift in perspectives described by participants, transformative learning theory was proposed as a model for how ECHO-IMPH created change in participants' practice.
Article
Full-text available
Background: The classification of mental disorders used to be based only on people seen by hospital psychiatrists. In fact, most people with a mental disorder were, and are, not seen by psychiatrists because of decisions made prior to psychiatric consultation. The first description of this 'pathway' to care and its levels and filters was published by Goldberg and Huxley in 1980. Aims: To conduct a review of papers relevant to the application of the Goldberg-Huxley model in the 21st century. Method: Systematic review (PROSPERO registration CRD42021270603) of the pathway to psychiatric care in the 21st century. The review concentrates on community surveys and passage through the first filter (consultation in primary care or its equivalent). Ten databases were searched for papers meeting the defined inclusion criteria published between 2000 and 2019 and completed on 15 February 2020. Results: In total, 1824 papers were retrieved, 137 screened fully and 31 included in this review. The results are presented in a table comparing them with previous research. Despite major social, economic and health service changes since 1980, community prevalence and consultation rates remain remarkably consistent and in line with World Health Organization findings. Passage through the first filter is largely unchanged and there is evidence that the same factors operate internationally, especially gender and social parameters. Conclusions: The Goldberg-Huxley model remains applicable internationally, but this may change owing to an increasingly mixed mental health economy and reduced access to primary care services.
Article
Background: The COVID-19 pandemic catalyzed major changes in how youth mental health (MH) services are delivered. Understanding youth's MH, awareness and use of services since the pandemic, and differences between youth with and without a MH diagnosis, can help us optimize MH services during the pandemic and beyond. Objectives: We investigated youth's MH and service use one year into the pandemic and explored differences between those with and without a self-reported MH diagnosis. Methods: In February 2021, we administered a web-based survey to youth, 12-25 years, in Ontario. Data from 1373 out of 1497 (91.72%) participants were analyzed. We assessed differences in MH and service use between those with (N=623, 45.38%) and without (N=750, 54.62%) a self-reported MH diagnosis. Logistic regressions were used to explore MH diagnosis as a predictor of service use while controlling for confounders. Results: 86.73% of participants reported worse MH since COVID-19, with no between-group differences. Participants with a MH diagnosis had higher rates of MH problems, service awareness and use, compared to those without a diagnosis. MH diagnosis was the strongest predictor of service use. Gender and affordability of basic needs also independently predicted use of distinct services. Conclusion: Various services are required to mitigate the negative effects of the pandemic on youth MH and meet their service needs. Whether youth have a MH diagnosis may be important to understanding what services they are aware of and use. Sustaining pandemic-related service changes require increasing youth's awareness of digital interventions and overcoming other barriers to care.
Article
Introduction: Mental health care is often managed in primary care with limited specialist support, particularly in rural and remote communities. Continuing professional development programs (CPD) can offer a potential solution to further mental health training; however, engaging primary care organizations (PCOs) can be challenging. The use of "big data" to identify factors influencing engagement in CPD programs has not been well studied. Therefore, the aim of this project was to use administrative health data from Ontario, Canada to identify characteristics of PCOs associated with early engagement in a virtual CPD program, Project Extension for Community Healthcare Outcomes (ECHO) Ontario Mental Health (ECHO ONMH). Methods: Ontario health administrative data for fiscal year 2014 was used to compare the characteristics of ECHO ONMH-adopting PCOs, and their patients, to nonadopter organizations (N = 280 vs. N = 273 physicians). Results: ECHO-adopting PCOs did not differ with respect to physician age or years of practice, although PCOs with more female physicians were somewhat more likely to participate. ECHO ONMH adoption was more likely in regions with lower psychiatrist supply, among PCOs using partial salary payment models, and those with a greater interprofessional complement. Patients of ECHO-adopters did not differ on the basis of gender or health care utilization (physical or mental health); however, ECHO-adopting PCOs tended to have patients with less psychiatric comorbidity. Conclusion: Models such as Project ECHO, which deliver CPD to primary care, are advanced to address lack of access to specialist health care. These findings support the use of administrative health data to assess the implementation, spread, and impact of CPD.
Article
Full-text available
Mental health services are in short supply in rural America. This article describes both the mental health service needs in rural areas and the barriers to improving the availability, accessibility, and acceptability of rural mental health services. Federal programs in rural mental health care in the Departments of Health and Human Services, Agriculture, and Education are described, as well as selected congressional initiatives. The role of the federal Office of Rural Health Policy is emphasized, and policy recommendations for improving rural mental health care delivery are presented.
Article
• After initial interviews with 20 291 adults in the National Institute of Mental Health Epidemiologic Catchment Area Program, we estimated prospective 1-year prevalence and service use rates of mental and addictive disorders in the US population. An annual prevalence rate of 28.1% was found for these disorders, composed of a 1-month point prevalence of 15.7% (at wave 1) and a 1-year incidence of new or recurrent disorders identified in 12.3% of the population at wave 2. During the 1-year follow-up period, 6.6% of the total sample developed one or more new disorders after being assessed as having no previous lifetime diagnosis at wave 1. An additional 5.7% of the population, with a history of some previous disorder at wave 1, had an acute relapse or suffered from a new disorder in 1 year. Irrespective of diagnosis, 14.7% of the US population in 1 year reported use of services in one or more component sectors of the de facto US mental and ad- dictive service system. With some overlap between sectors, specialists in mental and addictive disorders provided treatment to 5.9% of the US population, 6.4% sought such services from general medical physicians, 3.0% sought these services from other human service professionals, and 4.1% turned to the voluntary support sector for such care. Of those persons with any disorder, only 28.5% (8.0 per 100 population) sought mental health/addictive services. Persons with specific disorders varied in the proportion who used services, from a high of more than 60% for somatization, schizophrenia, and bipolar disorders to a low of less than 25% for addictive disorders and severe cognitive impairment. Applications of these descriptive data to US health care system reform options are considered in the context of other variables that will determine national health policy.
Article
Background Variations in the relationships among income, use of mental health services, and sector of care are examined by comparing data from 3 countries that differ in the organization and financing of mental health services.Methods Data come from the 1990-1992 National Comorbidity Survey (n=5384), the 1990-1991 Mental Health Supplement to the Ontario Health Survey (n=6321), and the 1996 Netherlands Mental Health Survey and Incidence Study (n=6031). Analysis of the association between income and use of mental health services was carried out for the population that was between ages 18 and 54 years. Differential use of mental health treatment was examined in 3 sectors: the general medical sector, the specialty sector, and the human services sector.Results No significant association between income and probability of any mental health treatment was observed for persons with psychiatric disorders in any of the 3 countries. However, there were significant differences among countries in the association between income and sector of mental health care treatment. In the United States, income is positively related to treatment being received in the specialty sector and negatively related to treatment being received in the human services sector. In the Netherlands, patients in the middle-income bracket are less likely to receive specialty care, while those in the high-income bracket are less likely to be seen in the human service sector. Income is unrelated to the sector of care for patients in Ontario.Conclusions Future research should examine whether differential access to the specialty sector for low-income people in the United States is associated with worse mental health outcomes.
Article
This study describes and analyzes the first stages of the care trajectory of psychiatric patients from the standpoint of family perceptions and actions. Six types of trajectories were identified based on three variables: patient's condition and situation, response from health and social services, and family network configuration. Families are central players at the first stage of the care trajectory and long-term preventive intervention conducted by school services or general practitioners have proven beneficial and have permitted a progressive and harmonious entry into specialized mental health care.
Article
Mental health services are in short supply in rural America. This article describes both the mental health service needs in rural areas and the barriers to improving the availability, accessibility, and acceptability of rural mental health services. Federal programs in rural mental health care in the Departments of Health and Human Services, Agriculture, and Education are described, as well as selected congressional initiatives. The role of the federal Office of Rural Health Policy is emphasized, and policy recommendations for improving rural mental health care delivery are presented.
Article
A survey was conducted in which 865 randomly selected adult household residents of Edmonton, Alberta were interviewed to obtain information about health care in the preceding year. Eighty percent of the sample had seen a family physician, and eight percent of visits to family physicians involved a mental or emotional problem. Thirteen percent of the sample received professional help for a mental or emotional problem from some type of caregiver. The most frequently consulted professional was the family physician (eight percent of the sample), followed by psychologists and psychiatrists (each seeing two percent of the sample). Family physicians accounted for the greatest number of consultations for mental or emotional problems (41%), followed by psychologists (16%), social workers (12%) and psychiatrists (nine percent). Women were 27% more likely to seek a consultation than men, and consultation rates were highest in the group ranging in age from 35 to 44 years. There was also a strong relationship between having recent psychiatric symptoms and having had a consultation in the past year.
Article
This study compares the extent to which need, predisposing, and enabling factors affect the use of mental health services in the specialty and general medical health sectors during a 6-month period. Data are drawn from the first wave of interviews of the Epidemiological Catchment Area (ECA) project at the Yale University site. The results indicate that 1) in the general population, factors affecting use of the two sectors differ; 2) among those using any mental health services, factors affecting use of the two sectors differ; 3) indicators of need have the strongest relationships with utilization; and 4) the effects of predisposing and enabling factors are contingent upon the presence of need.
Article
This study focuses on predisposing, enabling, and need factors affecting contact with health professionals for the treatment of psychiatric and emotional problems during a 6-month period. Data are from the first wave of the Yale Epidemiologic Catchment Area (ECA) Project. The study confirms the important relationship of psychopathology to both the likelihood of using mental health related services and the quantity of service contacts. Sex, age, race, education, marital status, usual source of medical care, and attitudes toward mental health services were found to exert independent effects on the likelihood of contact with a health professional after controlling for clinical status. Factors affecting the quality of service contacts among utilizers were psychiatric status, usual source of care, and attitudes.
Article
The Behavioral Model of Health Services Use was initially developed over 25 years ago. In the interim it has been subject to considerable application, reprobation, and alteration. I review its development and assess its continued relevance.