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Proactive Telephonic Follow-up Calls by a Tobacco Cessation Clinic (TCC): Optimization for the Number of Calls General Dentistry ORIGINAL RESEARCH Brief Background

Authors:
  • Rajasthan Cancer Foundation (RCF) & Santokba Durlabhji Memorial Hospital and Medical Research Institute (SDMH)

Abstract and Figures

Despite specific national effort for over a decade, in published reports on tobacco cessation from India, the quit rate has ranged from 2.6% to 28.6%. One of their challenges has been an inability to follow-up all those treated comprehensively. Objective It was to determine an optimum number of follow-up telephonic calls to be made proactively post the cessation treatment. Materials and Methods This study was conducted for a period of one year w.e.f. 5 th September 2017 at a Tobacco Cessation Clinic (TCC) of a private health sector tertiary care hospital to 296 patients currently using tobacco treated by counselling with/ without pharmacotherapy; and integration of the quitline methodology with follow ups at 3 rd and 7 th days, and thereafter at the end of 1 st , 3 rd , 6 th and 12 th months respectively, i.e., until 4 th September 2019. Results As per study protocol, the TTC could follow up 91.2% patients telephonically to achieve a quit rate of 42.9% while those who failed to quit and relapsed were 37.7% and 19.9% respectively. Staying on with the quit date set at the outset and adequacy of three follow-up calls have emerged as the statistically significant outcomes for p values of 0.000 and 0.001 respectively. Summary and Conclusions Achieving a quit rate of 42.9% through the proactive follow-up calls reinforces its perceived utility in tobacco cessation. Making at least 3 follow-up calls after primary intervention (on 3 rd , 7 th and at 1 month) is recommended to achieve a satisfying outcome. For an optimal outcome, the study recommends follow-ups until 6 months.
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JIDA - Journal of Indian Dental Association - Vol 14 - Issue 8 - August 2020
1. MS, FAIS, Honorary Consultant, Tobacco Treatment
Dept. of Deaddiction, Santokba Durlabhji Memorial
Hospital and Medical Research Institute
Jaipur, Rajasthan
2. M.Sc., Statistician
Healis Sekhsaria Institute of Public Health
Navi Mumbai, Maharashtra
3. MD, DM, Honorary Consultant
Gastroenterology and Alcohol Deaddiction
Depts. of Gastroenterology and Deaddiction
Santokba Durlabhji Memorial Hospital and Medical
Research Institute, Jaipur, Rajasthan
4. PhD, D Lit, Director
Healis Sekhsaria Institute of Public Health
Navi Mumbai, Maharashtra
5. MD, Medical Director and Head
Dept. of Pathology and Transfusion Medicine
Santokba Durlabhji Memorial Hospital and Medical
Research Institute, Jaipur, Rajasthan
Abstract
J
I
D
A
Proactive Telephonic Follow-up Calls by a Tobacco Cessation Clinic (TCC):
Optimization for the Number of Calls
Rakesh Gupta1, Sameer Narake2, Harsh Udawat3, P. C. Gupta4, G. N. Gupta5
XXXXXXXXXXXXXXX
ORIGINAL RESEARCH
Brief Background
Despite specific national effort for over a decade, in
published reports on tobacco cessation from India, the
quit rate has ranged from 2.6% to 28.6%. One of their
challenges has been an inability to follow-up all those
treated comprehensively.
Objective
It was to determine an optimum number of follow-up
telephonic calls to be made proactively post the cessation
treatment.
Materials and Methods
This study was conducted for a period of one year w.e.f.
5th September 2017 at a Tobacco Cessation Clinic (TCC)
of a private health sector tertiary care hospital to 296
patients currently using tobacco treated by counselling
with/ without pharmacotherapy; and integration of the
quitline methodology with follow ups at 3rd and 7th days,
and thereafter at the end of 1st, 3rd, 6th and 12th months
respectively, i.e., until 4th September 2019.
Results
As per study protocol, the TTC could follow up 91.2%
patients telephonically to achieve a quit rate of 42.9%
while those who failed to quit and relapsed were 37.7%
and 19.9% respectively. Staying on with the quit date set
at the outset and adequacy of three follow-up calls have
emerged as the statistically signicant outcomes for p
values of 0.000 and 0.001 respectively.
Summary and Conclusions
Achieving a quit rate of 42.9% through the proactive
follow-up calls reinforces its perceived utility in tobacco
cessation. Making at least 3 follow-up calls after primary
intervention (on 3rd, 7th and at 1 month) is recommended
to achieve a satisfying outcome. For an optimal outcome,
the study recommends follow-ups until 6 months.
Key Words
Tobacco, Cessation, Follow up, Telephonic calls, Quitline,
Smoking, Smokeless tobacco.
How to cite this article: Rakesh Gupta, Sameer Narake, Harsh
Udawat, P. C. Gupta, G. N. Gupta. Proactive Telephonic Follow-up
Calls by a Tobacco Cessation Clinic (TCC): Optimization for the
Number of Calls. JIDA 2020; XIV;12-18.
https://doi.org/10.33882/jida.14.26XXX.
Website:
jida.ida.org.in
DOI: 10.33882/jida.14.26XXX
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13
JIDA - Journal of Indian Dental Association - Vol 14 - Issue 8 - August 2020
Introduction
The health services of India for tobacco cessation have
improved evidenced by the inclusion of India by the
WHO among 23 countries that provide a comprehensive
coverage for the ‘O’ component of MPOWER at the
national level. This is due to the fact that India has a
national toll-free quitline, cost-coverage for NRT (nicotine
replacement therapy) and digital and mobile solution for
those who want to quit, in addition to the availability
of brief advise at the primary healthcare(1,2) through
its national flagship programme on tobacco control-
National Programme on Tobacco Control (NTCP).(3) But,
it still suffers from the quit rates that have stayed largely
unchanged at the population level for 7 years for smoking
(1.8%) as well as smokeless tobacco use (SLT, 1.2%).(4,5)
This may be due to the deficient intent of the tobacco
users to quit and the challenges the health care service
providers (HCPs) face for treating tobacco dependence
optimally.(6,7)
In reports published from India on tobacco cessation in
the last decade (8-14) the quit rates at 6 months and above
exceeded 50% only in two reports.(10,14) Otherwise, the
quit rates in the follow-up periods varying between 6
weeks and 9 months have ranged between 2.6% and
28.6%., With already existing challenges of a deficient
follow-up in the management of NCDs(15) and patients’
out-of-pocket expenses exceeding 75%,(16), those treated
for tobacco cessation are less likely to revisit the TCC.
A major deficiency in earlier studies appears to be the
need of an in-person and on-site regular follow-up
visits for staying motivated and minimising relapses.(6-
7,17-21) In view of the increased penetration of the mobile
telephones in India(21-24), the present study was undertaken
for a meaningful standardization of the follow-up process
through scheduled periodic telephone calls.
Objective
This study was done to determine an optimum number of
follow-up telephonic calls to be made proactively post the
cessation treatment.
Materials and Methods
Study design
This is a longitudinal, non-randomized, prospective study
conducted in the Tobacco Cessation Clinic (TCC) being run
under the Deaddiction Department of a multispeciality,
tertiary care hospital in the private health sector at Jaipur,
India.
The study population and duration
The patients recruited to receive the treatment for their
tobacco dependence for “a fee for the service” were
either those referred by the in-house consultants or those
that directly walked-in with a desire to quit during the
period 5th September 2017 to 4th September 2018. A
total of 350 patients were thus recruited. The mutually
concurred proactive follow-up calls were carried out until
4th September 2019 to complete a follow-up of at least
1-year in all cases enrolled from 4th September 2018.
At the end of follow-up, 296 patients were included as
evaluable and 54 were excluded for the following reasons:
1) Cessation before treatment (24 Patients);
2) The dead during the period of study (17 patients);
3) Patients either did not have a contact number or were
unwilling to set the quit date (10 patient);
4) The father of a minor patient asked not to follow-up
(1 patient);
5) The patient ran away from his home after rst two
follow-up calls (1 patient); and,
6) The patient disagreed that he should have been
charged fee unduly for “just talking (the counselling
given at the initial intervention” (1 patient).
The study process
It comprised :
A. Baseline Service:
1. All patients were managed by the rst author by
undergoing a pre-structured intensive intervention
(II) mostly spanning over 30 minutes to an hour in
some(25,26);
2. Rapport building was done followed by record of
demographic and contact details obtained from the
patients and at least one of their attendants who
agreed to respond to the follow-up calls;
3. Following the recording of the details of tobacco use
behaviour, counselling (II) was done through a mix of
Cognitive Behavioural Therapy (CBT) and Motivational
Interviewing (MI)(27,28) that (a) elaborated on harms
of tobacco use and benets of quitting; (b) could
"set the quit date"; and (3) empowered on the
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JIDA - Journal of Indian Dental Association - Vol 14 - Issue 8 - August 2020
“preparations and skills required to stay quit lifelong"
in concurrence with the patient;
B. Follow-up:
A concurrence was arrived at a year-long follow-up plan
by the treating physician with the patients for: (1) either
a revisit to the TCC to reinforce initial counselling or to
review the treatment prescribed- coinciding it with a
revisit to the OPD of the referring physician; and/or (2)
telephonic follow-up “at no additional fee” on 3rd and
7th days and at the end of 1st, 3rd, 6th and 12th month to
last for 3 to 5 minutes. These were structured to (i) greet
the patient (or his carer if the patient did not respond),
(ii) inquiring of his welfare overall along with his current
status for tobacco use as an open-ended question, (iii)
an end with advise on (a) relapse prevention if staying
quit or (b) to quit now (revising the quit date) if he had
failed to quit or had relapsed by either revising the quit
date to be eligible for another call after a week or revisit
the TCC if he could not decide to make another attempt
to quit then; Among those who followed-up in the TCC,
those willing were advised Urinary Cotinine Test (UCT) for
biochemical verification;
C. During the baseline service, the patients were
prescribed Nicotine Replacement Therapy (NRT) and/or
cessation medication- Bupropion or Varenicline, by the
treating physician (the first author) whenever indicated in
the usual manner and doses with brief on recommended
cautions and contraindications; and, in concurrence with
the patient;
D. Patients and even their carers’ were told to call back
for any questions or clarifications anytime to the TCC on
any week-day between 12 noon 4 PM;
E. A measure of the self-efficacy for the baseline session
was done through the scale of Indian rupee- familiar to all.
It assessed for the benefit in terms of paisas (zero to 100)
for the confidence generated through this interaction to
stay quit hereafter for a total abstinence; and,
F. The session was concluded by thanking them; and,
by sharing the contact number of the TCC and the first
author.
Data collection and analysis
The clinical record of every patient was entered in a
Microsoft Excel Sheet. It was managed dynamically for
every contact made by either party (TTC or the patient/s)
during the subsequent follow-ups. Those who stayed
quit for less than 1 month were categorized as staying
quit (STQ) whereas those staying quit for total abstinence
for 1 month or more from the “set quit date” were
categorized as successful quit (SQ); those who failed to
quit altogether from the “set quit date", even after a
follow-up call after 1 week, were categorized as failed to
quit (FTQ); those who began use of any tobacco product
after a SQ were categorized as Relapsed (Relapsed); a
failure to respond anytime during the course of 1-year
follow-up, after three follow-up calls in the subsequent
one week on 1st, 2nd and 7th day respectively categorized
patients as non-responders (NR); and, lastly, those who
died were categorized as Dead (Dead).
Data was analysed using SPSS (version 16). The p-value
was calculated for Chi-square test of association and its
significance was determined if <0.05. The confidence
intervals (CI) were calculated to check the significance of
difference between proportions.
Results
The table below (Table -1) represents the profile of 296
study participants. Males constituted 92.9% of the sample
and most were between 30-59 years of age (78.0%).
Majority smoked tobacco (48.0%) followed SLT users
(38.2%) and the dual users (13.9%). Over two-thirds
(68.2%) adhered to the “set quit date” whereas another
20.9% and 10.8% respectively revised it for 2nd, 3rd to a
maximum of 6th time. Pharmacotherapy was prescribed to
206 patients (69.6%). Over and above telephonic follow-
ups of all patients, 35 (11.8%) were followed-up in the
TCC at least once.
The study observed a quit rate of 42.9 % (Table-2; 127
patients- the - the SQs). The FTQs and NRs, clubbed
together accounted for failure rate of 37.2% (110 patients);
the rest 19.9% relapsed. Biochemical verification through
the UCT, done altogether in 13 patients, was negative in 7,
positive in 5 and false-positive in 1 patient. The outcomes
were significantly better among males and those with a
single quit attempts (p value <0.05). No association of
quitting was observed with age and type of tobacco used.
All responded promptly and fully along with attentive
listening and honestly even if they had failed to quit or
relapsed; and, in either case whether they were willing/
unwilling/unable to make another attempt to quit.
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JIDA - Journal of Indian Dental Association - Vol 14 - Issue 8 - August 2020
Table 1: Prole of the study respondents
Characteristics N (296) N % 95% Lower CL 95% Upper CL
Age 15-29 23 7.8% 5.1% 11.2%
30-39 89 30.1% 25.1% 35.5%
40-49 83 28.0% 23.2% 33.4%
50-59 59 19.9% 15.7% 24.8%
60+ 42 14.2% 10.6% 18.5%
Sex Male 275 92.9% 89.6% 95.4%
Female 21 7.1% 4.6% 10.4%
Tobacco type Smoker 142 48.0% 42.3% 53.7%
SLT user 113 38.2% 32.8% 43.8%
Dual user 41 13.9% 10.3% 18.1%
No. of quit attempts 1 202 68.2% 62.8% 73.3%
2 62 20.9% 16.6% 25.9%
3 or >3 32 10.8% 7.7% 14.7%
Mode of Follow-up Telephonic 261 88.2% 84.0% 91.4%
Revisit 35 11.8% 8.6% 16.0%
Table 2: The latest status (after 1-year follow-up) of respondents according to demographic variable.
SQ FTQ/NR Relapsed
P value n % (95% CI) n % (95% CI) n % (95% CI)
Overall 127 42.9 (37.4,48.6) 110 37.2 (31.8,42.8) 59 19.9 (15.7,24.8)
Age
15-29 10 43.5 (25,63.5) 9 39.1 (21.4,59.4) 4 17.4 (6.2,36.2)
0.939
30-39 36 40.4 (30.7,50.8) 33 37.1 (27.6,47.4) 20 22.5 (14.8,31.9)
40-49 41 49.4 (38.8,60.0) 28 33.7 (24.3,44.3) 14 16.9 (10.0, 26.0)
50-59 22 37.3 (25.8,50.0) 25 42.4 (30.4,55.1) 12 20.3 (11.6,31.9)
60+ 18 42.9 (28.8,57.9) 15 35.7 (22.6,50.8) 9 21.4 (11.2,35.5)
Sex
Male 121 44 (38.2,49.9) 104 37.8 (32.2,43.7) 50 18.2 (14.0,23.1) 0.024
Female 6 28.6 (12.9,49.7) 6 28.6 (12.9,49.7) 9 42.9 (23.7,63.8)
Tobacco type
Smoker 60 42.3 (34.4,50.5) 56 39.4 (31.7,47.6) 26 18.3 (12.6,25.3)
0.885SLT user 50 44.2 (35.3,53.5) 38 33.6 (25.4,42.7) 25 22.1 (15.2,30.4)
Dual user 17 41.5 (27.4,56.7) 16 39 (25.3,54.3) 8 19.5 (9.7,33.5)
No. of quit attempts
1 108 53.5 (46.6,60.3) 58 28.7 (22.8,35.2) 36 17.8 (13,23.5)
0.0002 11 17.7 (9.8,28.6) 32 51.6 (39.3,63.7) 19 30.6 (20.2,42.8)
3 8 25 (12.6,41.7) 20 62.5 (45.2,77.6) 4 12.5 (4.4,27)
Note:*=The Chi-square statistic is signicant at the .05 level; CI= Condence Interval.
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JIDA - Journal of Indian Dental Association - Vol 14 - Issue 8 - August 2020
Table 3: Correlations with Follow-up calls
Outcome 1st (%) 2nd (%) 3rd (%) 4th (%) 5th (%) 6th (%)
STQ 237 (80.1) 226 (76.4) 0 0 0 0
SQ 0 0 198 (86.8) 173 (87.4) 142 (82.1) 127 (89.4)
FTQ 54 (18.2) 59 (20.6) 26 (11.4) 0 0 0
NR 5 (1.7) 9 (3.0) 4 (1.8) 6 (3.0) 3 (1.7) 3 (2.1)
Relapsed 0 0 0 19 (9.6) 28 (16.2) 12 (8.5)
Total (% of the
total)
296 296 (100) 228 (77.02) 198 (66.89) 173 (58.44) 142 (47.97)
Table 4. Overall comparison of quit rate
Status 3rd follow-up 6th follow-up
SQ 198 (66.9) 127 (42.9)
FTQ/NR 98 (33.1) 110 (37.2)
Relapsed 0 59 (19.9)
Total 296 (100) 296 (100)
The Table-3 correlates outcomes of the study with all six
follow-ups with percentages calculated from the total
number followed-up in that particular follow-up round.
The quit rates at 3rd, 4th, 5th and 6th follow-ups were
86.8% (198/228 patients), 87.4% (173/198 patients),
82.1% (142/173 patients) and 89.4% (127/142 patients)
respectively with no significant difference between these
(p value- 0.256). Maximal patients failed to quit by the
end of 2nd follow-up- 59 out of 85 (69.41%). The relapse
rate, observed at 4th follow-up as 9.6%, was the highest
for the study at the 5th follow-up, i.e. at end of 6th month
(16.2%); another 8.5% relapsed at the 6th follow-up,
i.e., at the end of 1-year.
The Table-4 reveals that the quit rates at 3rd and 6th follow-
ups, i.e., at the end of 1 month and at the end of 1 year,
were 66.9% and 42.9% respectively.
Discussion
Follow-up calls, observed as a significant proactive
predictor of smoking relapse by Wu et al(18) were added
to the methodology in this study to remotely sustain
motivation of the tobacco-using patients(21-22): (1) to
help them stay quit amid the absence of any self-help
support and existence of the adverse situations socially;
(2) to remind them and/or reinforce the skills taught at
the initial intervention to avoid, negate or eliminate any
tempting situation to relapse; and, (3) to eliminate the
pitfalls of a shorter follow-up of less than 6 months(18).
The authors concur with others (18-19) that the systematic
follow-ups should be part of comprehensive tobacco
treatment as these not only help sustain the initial success
and promote long-term abstinence but also help reducing
relapses.
This study could follow-up 91.6% patients telephonically
as a substitute for their scheduled follow-up for the entire
1-year; 11.8% patients among these also followed up
in the TTC once at least (Table 1). The study showed a
quit rate of 42.9% for total abstinence from the effective
quit date, i.e., the date after which the patient has stayed
abstained totally- be this the very first time s/he decides
to stay quit or after one or more failed attempts (Table
2). This quit rate seems to be the highest among the
contemporary Indian studies published in the preceding
decade at the end of 1-year(8-13). We are inclined to
attribute it the conduct of follow-up by the treating
doctor himself to whom the patients/his or her relatives
responded promptly and fully along with due attention
and honestly since the only other similar Indian study that
had the counselor do the follow-up similarly had a quit
rate of 10%(11). But, since it is a subjective and qualitative
observation in this study, it will be worth evaluating in
future whether the determinant for this difference was
the title/post/position of the interviewer- the treating
doctor vs. a counsellor/nurse/any other health worker.
The present study categorized those failing even once
anytime during the 1-year follow-up as a “Relapse”
although others have recommended allowing for some
lapses between 3 and 6 months.(21) The period of 1-year
follow-up planned and duly executed in this study was
longer than the usually accepted norm of 6 months,(17-18)
but in view of the observation of SQ of over 80% right
from the third follow-up (Tables 3 and 4), we endorse
17
JIDA - Journal of Indian Dental Association - Vol 14 - Issue 8 - August 2020
the norm recommended of making at least first 3 of the
6 follow-up calls(18,21-23) on 3rd, 7th days and at the end of
1 month unless the resources allow for the maximal gain
which, in the present study, was ~3% from 3rd to 6th
follow-up.
In addition, setting-up the quit date has been considered
critical for the user to stay quit. In present study, out of
over two thirds (68.2%) who stayed quit right from the
date they had decided to quit, the quit rate was 53.5%
(p value- 0.000) vs. those who altered it twice or more
than 2 times; in latter cases, the quit rates were 17.7%
and 25.0% respectively. Hence, “staying with the set quit
date” can be a useful predictor of a SQ that contributes
to the value of follow-up calls as emphasized in the
preceding text.
Another additional factor could be the use of intensive
intervention delivered uniformly through a framework of
behavioural intervention utilizing a combination of both
CBT and MI as reliance solely on brief intervention, self-
help materials, mails or telephone calls have otherwise
been found ineffective.(21,25-28)
Limitations of the study
Following were the limitations of the study:
(1) It could not randomize the patients for number of
follow-up calls (from 3 to 6 calls) in view of the fewer
referrals to this newly established service in its rst
year and, therefore, lesser number of new patients
enrolling to the TTC;
(2) Also, it was not possible to blind the interviewer-
their doctor and the TTC in-charge, on follow-up
calls which could have brought the socially desirable
outcomes “staying quit and/have quitted successfully
for a total abstinence”,(18) thus, avoiding/eliminating a
disappointment to their treating doctor and spoiling
the relationship;
(3) Further, the study has relied solely on self-reporting
by the patients on their respective outcomes since
a biochemical verication could not be done in 283
(96%) patients,(17,18) not only because of the delay
in establishing the testing facility at the hospital for
almost rst six months of the study but also due
to patients inability/refusal to travel solely for the
biochemical conrmation.
Conclusions
Obtaining a quit rate of 42.9% for the total abstinence at 1
year follow-up- the highest observed in the contemporary
studies published from India in the preceding decade, is
largely attributed to an ability to accomplish a follow-up in
91.6% patients for pre-scheduled six proactive telephonic
calls through the entire 1 year of follow-up. Since the quit
rate at the end of 3rd vs. 6th follow-up (66.9% vs. 42.9%)
was significant statistically (p value- 0.001), while under
the constraint of the resources, making first three calls on
3rd and 7th day and at the end of 1 month should suffice
to get a satisfying quit rate. The additional contributory
factors towards this achievement were: (1) ability of the
patients to persist with the “quit date” set at the outset;
and (2) delivery of the initial intervention through a
combination of CBT and MI and follow-up calls solely by
the treating physician.
Acknowledgement
The authors are grateful to the hospital management
and administration of SDM Hospital, Jaipur, for the
infrastructure support and resources during the
conduction of study.
Conicts of Interest
There are no conflicts of interest.
Source of Support: Nil
18
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... diabetes, chest diseases, etc., have reported QRs varying from 5% to 45% over 0-12 months. [5] On the contrary, the private health sector that accounts for over 70% of the total health system in India [6] has failed to sufficiently equip itself with such TCCs. Hence, this study was undertaken with a specific objective to determine whether adopting the quitline methodology of a series of prescheduled follow-ups over the subsequent year (minimum of 6 months and a maximum of up to 12 months) can improve QRs of tobacco users treated in a private hospital TCC through intensive intervention (II) with/without pharmacotherapy. ...
... It is important to note that the higher QRs in the current study are in contrast to the other studies that have been conducted in India and globally. [5,7,8] A plausible reason for this outcome could be the presence of specific settings with repetition of the reminder to "stay quit" through proactive follow-up calls. Furthermore, customizing the methodology of calls in each patient (as per his/her profile as well as the respective stage of behavioral changes) is an important factor due to the complex behavior of tobacco users, where both psychological and environmental factors play a critical role. ...
Article
Full-text available
India despite progress in tobacco cessation delivery in government sector has lagged in private health sector. Adopting a two‑fold approach of intensive intervention‑based counseling with (or without) pharmacotherapy; and prescheduled proactive follow‑ups over the subsequent year, this study reports 337 tobacco patients, each followed for a period of 1 year. It observed a quit rate (QR) of 40.9% for total abstinence at 1 year but with a drop of 15.9% when patients were followed up, up to 6 months (49.6%) versus 6–12 months (34.7%). The pharmacotherapy did not benefit to whom it was prescribed (196 [58.2%] patients; QR: 34.7%) versus the rest to who it was either not prescribed or was declined (141 [41.8%] patients; QR 49.6%). Countrywide tobacco cessation clinics (TCCs) may be established in private sector hospitals, and the component of quitline methodology of making proactive calls may be integrated to improve QR in India.
... diabetes, chest diseases, etc., have reported QRs varying from 5% to 45% over 0-12 months. [5] On the contrary, the private health sector that accounts for over 70% of the total health system in India [6] has failed to sufficiently equip itself with such TCCs. Hence, this study was undertaken with a specific objective to determine whether adopting the quitline methodology of a series of prescheduled follow-ups over the subsequent year (minimum of 6 months and a maximum of up to 12 months) can improve QRs of tobacco users treated in a private hospital TCC through intensive intervention (II) with/without pharmacotherapy. ...
... It is important to note that the higher QRs in the current study are in contrast to the other studies that have been conducted in India and globally. [5,7,8] A plausible reason for this outcome could be the presence of specific settings with repetition of the reminder to "stay quit" through proactive follow-up calls. Furthermore, customizing the methodology of calls in each patient (as per his/her profile as well as the respective stage of behavioral changes) is an important factor due to the complex behavior of tobacco users, where both psychological and environmental factors play a critical role. ...
Article
Full-text available
India despite progress in tobacco cessation delivery in government sector has lagged in private health sector. Adopting a two-fold approach of intensive intervention-based counseling with (or without) pharmacotherapy; and prescheduled proactive follow-ups over the subsequent year, this study reports 337 tobacco patients, each followed for a period of 1 year. It observed a quit rate (QR) of 40.9% for total abstinence at 1 year but with a drop of 15.9% when patients were followed up, up to 6 months (49.6%) versus 6-12 months (34.7%). The pharmacotherapy did not benefit to whom it was prescribed (196 [58.2%] patients; QR: 34.7%) versus the rest to who it was either not prescribed or was declined (141 [41.8%] patients; QR 49.6%). Countrywide tobacco cessation clinics (TCCs) may be established in private sector hospitals, and the component of quitline methodology of making proactive calls may be integrated to improve QR in India.
... However, the existing evidence suggests that 3 follow-up phone calls are optimal and shorter schedules will need to be studied more rigorously. [38] With a high quit rate in the control group, the absolute benefits of the intervention are higher at a similar relative risk. For every 100 patients who receive the intervention, an estimated 13 additional patients will quit smoking, a number needed to treat 8. ...
Article
Background Low-middle-income countries face an enormous burden of tobacco-related illnesses. Counseling for tobacco cessation increases the chance of achieving quit outcomes, yet it remains underutilized in healthcare settings.Objective We tested the hypothesis that utilizing trained medical students to counsel hospitalized patients who use tobacco will lead to an increase in patient quit rates, while also improving medical student knowledge regarding smoking cessation counseling.DesignInvestigator-initiated, two-armed, multicenter randomized controlled trial conducted in three medical schools in India.ParticipantsEligibility criteria included age 18–70 years, active admission to the hospital, and current smoking.InterventionA medical student–guided smoking cessation program, initiated in hospitalized patients and continued for 2 months after discharge.Main MeasuresThe primary outcome was self-reported 7-day point prevalence of smoking cessation at 6 months. Changes in medical student knowledge were assessed using a pre- and post-questionnaire delivered prior to and 12 months after training.Key ResultsAmong 688 patients randomized across three medical schools, 343 were assigned to the intervention group and 345 to the control group. After 6 months of follow up, the primary outcome occurred in 188 patients (54.8%) in the intervention group, and 145 patients (42.0%) in the control group (absolute difference, 12.8%; relative risk, 1.67; 95% confidence interval, 1.24–2.26; p < 0.001). Among 70 medical students for whom data was available, knowledge increased from a mean score of 14.8 (± 0.8) (out of a maximum score of 25) at baseline to a score of 18.1 (± 0.8) at 12 months, an absolute mean difference of 3.3 (95% CI, 2.3–4.3; p < 0.001).Conclusions Medical students can be trained to effectively provide smoking cessation counseling to hospitalized patients. Incorporating this program into the medical curriculum can provide experiential training to medical students while improving patient quit rates.Trial RegistrationURL: http://www.clinicaltrials.gov. Unique identifier: NCT03521466.
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The attention to tobacco cessation (TCs) has increased globally by WHO through the Framework Convention on Tobacco Control (FCTC) and MPOWER. In India, NTCP (National Tobacco Control Program), the National and three Regional Quitlines and mCessation, some apex national institutes, and professional dental bodies and others have eased an access to quit, the proportion of the former users has been dismally low-below 2% at population level. The challenges of not having: (1) TCCs at secondary and tertiary care as well as in the larger private healthcare setups; (2) participatory health system and healthcare professionals; (3) motivated tobacco users to quit even in short-term; (4) focused NTCP due to convergent NHM (National Health Mission);and, (5) optimal coverage to the health-insured “need a priority attention”. Also, there is need to eliminate the barriers existing: (a) at all levels in the governance, health system and other stake-holding sectors; and, (b) due to the interference of the tobacco industry. Overall, (i) setting the norm of quitting since all tobacco users are actually patients; (ii) increasingthe awareness of benefits of quitting and incentivizing it; (iii) establishing a systems approach in all health facilities of screening, treatment and follow-up of the treated tobacco users besides coding them; plus (iv) amending COTPA (the Cigarettes and Other Tobacco Products Act of 2003) can increase the quit rates in India and LMICs.
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Background: The engagement of the HCPs in tobacco cessation delivery is suboptimal globally. Objective: The study was done to assess the status of HCPs participation in tobacco cessation delivery in a private healthcare setup. Methodology: A third party proforma-based one-to-one survey was planned among 115 consultants of the hospital. Results: Fifty HCPs (43.47%) participated. Twenty three (46%) reported that their tobacco using patients inquired about quitting while 26 (52%) reported on seeking a referral, either always or sometimes. Only 16 (32%) treated their tobacco using patients; out of the rest, 17 (34%) each either did not treat or answer for their inability to engage. While 26 (58%) made at least 2 referrals per week to the TTC, among the remaining 21 (42%) who did not, 2 (4%) did not because they could treat independently, 16 (32%) despite offering no treatment while remaining 3 (6%) reasoned it as “not applicable” (to them). Conclusions: To improve on HCPs engagement, there is a priority need to have a systems approach introduced for treating tobacco dependence along with HCPs training and participation in tobacco cessation that is sustainable.
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Background Chronic diseases have emerged as the leading cause of death globally, and 20% of Indians are estimated to suffer from a chronic condition. Care for chronic diseases poses a major public health challenge, especially when health care delivery has been geared traditionally towards acute care. In this study, we aimed to better understand how primary care for diabetes and hypertension is currently organised in first-line health facilities in rural India, and propose evidence-based ways forward for strengthening local health systems to address chronic problems. Methods We used qualitative and quantitative methods to gain insight into how care is organised and how patients and providers manage within this delivery system. We conducted in-depth interviews with the medical doctors working in three private clinics and in three public primary health centres. We also interviewed 24 patients with chronic diseases receiving care in the two sub-sectors. Non-participant observations and facility assessments were performed to triangulate the findings from the interviews. Results The current delivery system has many problems impeding the delivery of quality care for chronic conditions. In both the public and private facilities studied, the care processes are very doctor-centred, with little room for other health centre staff. Doctors face very high workloads, especially in the public sector, jeopardising proper communication with patients and adequate counselling. In addition, the health information system is fragmented and provides little or no support for patient follow-up and self-management. The patient is largely left on their own in trying to make sense of their condition and in finding their way in a complex and scattered health care landscape. Conclusions The design and organisation of care for persons with chronic diseases in India needs to be rethought. More space and responsibility should be given to the primary care level, and relatively less to the more specialised hospital level. Furthermore, doctors should consider delegating some of their tasks to other staff in the first-line health facility to significantly reduce their workload and increase time available for communication. The health information system needs to be adapted to better ensure continuity of care and support self-management by patients. Electronic supplementary material The online version of this article (10.1186/s12913-019-3876-9) contains supplementary material, which is available to authorized users.
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This study on systems approach in tobacco dependence treatment was done to (a) Assess the feasibility of tobacco treatment protocol (TTP), (b) Assess quit rate among those treated with TTP vs. no treatment and (c) Compare treatment outcome in Brief Intervention (BI) and Intensive Intervention (II) with or without pharmacotherapy. This one year study (2013), undertaken at a hospital at Jaipur, India identified currently tobacco-using patients. Those willing were assisted to quit through brief intervention (BI) or intensive treatment (II). All were followed-up telephonically for one year. The responders were categorized as successful quit, failed to quit and relapsed. This study enrolled 1264 patients out of 19657 (6.43%). In 43.4 per cent patients (549/1264) who consented for the treatment, the overall quit rate was 26.1 per cent (CI: 23.8 -28.6) whereas in those treated with BI and II were 54.2 per cent (CI: 49.7 -59.0) and 84.9 per cent (CI: 78.4 -92.0) respectively vs. zero quit rate in untreated. The use of pharmacotherapy improved overall quit rate by 14.6 per cent. The quit rates did not differ for the type of tobacco used. Since, this study could achieve its objective of implementing the systems approach in tobacco treatment protocol in a hospital-setting, it merits a replication.
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Globally, tobacco use is a major modifiable risk factor and leading cause of many forms of cancer and cancer death. Tobacco use contributes to poorer prognosis in cancer care. This article reviews the current state of tobacco cessation treatment in oncology. Effective behavioral and pharmacological treatments exist for tobacco cessation, but are not being widely used in oncology treatment settings. Comprehensive tobacco treatment increases success with quitting smoking and can improve oncological and overall health outcomes. This article describes the components of a model treatment program, which includes automatic referrals for all current tobacco users and recent quitters, motivational interviewing during initial and follow-up contacts, combined behavioral and pharmacological interventions for cessation, and systematic follow-up phone calls for relapse prevention.
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Background: Tobacco use contributes significantly to the diseases burden in India. Very few tobacco users spontaneously quit. Therefore, beginning 2002, a network of 19 tobacco cessation clinics (TCCs) was set up over a period of time to study the feasibility of establishing tobacco cessation services. Methods: Review of the process and operational aspects of setting up TCCs was carried out by evaluation of the records of TCCs in India. Baseline and follow-up information was recorded on a pre-designed form. Results: During a five-year period, 34 741 subjects attended the TCCs. Baseline information was recorded in 23 320 cases. The clients were predominantly (92.5%) above 20 years, married (74.1%) and males (92.2%). All of them received simple tips for quitting tobacco; 68.9% received behavioural counselling for relapse prevention and 31% were prescribed adjunct medication. At six-week follow-up, 3255 (14%) of the tobacco users had quit and 5187 (22%) had reduced tobacco use by more than 50%. Data for three, three-monthly follow-ups was available for 12 813 patients. In this group, 26% had either quit or significantly reduced tobacco use at first follow-up (three-months), 21% at the second (six-months) and 18% at the third follow-up (nine-months) had done so. Conclusions: It is feasible to set up effective tobacco cessation clinics in developing countries. Integration of these services into the health care delivery system still remains a challenge.
Article
Background: Telephone services can provide information and support for smokers. Counselling may be provided proactively or offered reactively to callers to smoking cessation helplines. Objectives: To evaluate the effect of telephone support to help smokers quit, including proactive or reactive counselling, or the provision of other information to smokers calling a helpline. Search methods: We searched the Cochrane Tobacco Addiction Group Specialised Register, clinicaltrials.gov, and the ICTRP for studies of telephone counselling, using search terms including 'hotlines' or 'quitline' or 'helpline'. Date of the most recent search: May 2018. Selection criteria: Randomised or quasi-randomised controlled trials which offered proactive or reactive telephone counselling to smokers to assist smoking cessation. Data collection and analysis: We used standard methodological procedures expected by Cochrane. We pooled studies using a random-effects model and assessed statistical heterogeneity amongst subgroups of clinically comparable studies using the I2 statistic. In trials including smokers who did not call a quitline, we used meta-regression to investigate moderation of the effect of telephone counselling by the planned number of calls in the intervention, trial selection of participants that were motivated to quit, and the baseline support provided together with telephone counselling (either self-help only, brief face-to-face intervention, pharmacotherapy, or financial incentives). Main results: We identified 104 trials including 111,653 participants that met the inclusion criteria. Participants were mostly adult smokers from the general population, but some studies included teenagers, pregnant women, and people with long-term or mental health conditions. Most trials (58.7%) were at high risk of bias, while 30.8% were at unclear risk, and only 11.5% were at low risk of bias for all domains assessed. Most studies (100/104) assessed proactive telephone counselling, as opposed to reactive forms.Among trials including smokers who contacted helplines (32,484 participants), quit rates were higher for smokers receiving multiple sessions of proactive counselling (risk ratio (RR) 1.38, 95% confidence interval (CI) 1.19 to 1.61; 14 trials, 32,484 participants; I2 = 72%) compared with a control condition providing self-help materials or brief counselling in a single call. Due to the substantial unexplained heterogeneity between studies, we downgraded the certainty of the evidence to moderate.In studies that recruited smokers who did not call a helpline, the provision of telephone counselling increased quit rates (RR 1.25, 95% CI 1.15 to 1.35; 65 trials, 41,233 participants; I2 = 52%). Due to the substantial unexplained heterogeneity between studies, we downgraded the certainty of the evidence to moderate. In subgroup analysis, we found no evidence that the effect of telephone counselling depended upon whether or not other interventions were provided (P = 0.21), no evidence that more intensive support was more effective than less intensive (P = 0.43), or that the effect of telephone support depended upon whether or not people were actively trying to quit smoking (P = 0.32). However, in meta-regression, telephone counselling was associated with greater effectiveness when provided as an adjunct to self-help written support (P < 0.01), or to a brief intervention from a health professional (P = 0.02); telephone counselling was less effective when provided as an adjunct to more intensive counselling. Further, telephone support was more effective for people who were motivated to try to quit smoking (P = 0.02). The findings from three additional trials of smokers who had not proactively called a helpline but were offered telephone counselling, found quit rates were higher in those offered three to five telephone calls compared to those offered just one call (RR 1.27, 95% CI 1.12 to 1.44; 2602 participants; I2 = 0%). Authors' conclusions: There is moderate-certainty evidence that proactive telephone counselling aids smokers who seek help from quitlines, and moderate-certainty evidence that proactive telephone counselling increases quit rates in smokers in other settings. There is currently insufficient evidence to assess potential variations in effect from differences in the number of contacts, type or timing of telephone counselling, or when telephone counselling is provided as an adjunct to other smoking cessation therapies. Evidence was inconclusive on the effect of reactive telephone counselling, due to a limited number studies, which reflects the difficulty of studying this intervention.
Article
Background: A number of treatments can help smokers make a successful quit attempt, but many initially successful quitters relapse over time. Several interventions have been proposed to help prevent relapse. Objectives: To assess whether specific interventions for relapse prevention reduce the proportion of recent quitters who return to smoking. Search methods: We searched the Cochrane Tobacco Addiction Group trials register, clinicaltrials.gov, and the ICTRP in February 2018 for studies mentioning relapse prevention or maintenance in their title, abstracts, or keywords. Selection criteria: Randomised or quasi-randomised controlled trials of relapse prevention interventions with a minimum follow-up of six months. We included smokers who quit on their own, were undergoing enforced abstinence, or were participating in treatment programmes. We included studies that compared relapse prevention interventions with a no intervention control, or that compared a cessation programme with additional relapse prevention components with a cessation programme alone. Data collection and analysis: We used standard methodological procedures expected by Cochrane. Main results: We included 77 studies (67,285 participants), 15 of which are new to this update. We judged 21 studies to be at high risk of bias, 51 to be at unclear risk of bias, and five studies to be at low risk of bias. Forty-eight studies included abstainers, and 29 studies helped people to quit and then tested treatments to prevent relapse. Twenty-six studies focused on special populations who were abstinent because of pregnancy (18 studies), hospital admission (five studies), or military service (three studies). Most studies used behavioural interventions that tried to teach people skills to cope with the urge to smoke, or followed up with additional support. Some studies tested extended pharmacotherapy.We focused on results from those studies that randomised abstainers, as these are the best test of relapse prevention interventions. Of the 12 analyses we conducted in abstainers, three pharmacotherapy analyses showed benefits of the intervention: extended varenicline in assisted abstainers (2 studies, n = 1297, risk ratio (RR) 1.23, 95% confidence interval (CI) 1.08 to 1.41, I² = 82%; moderate certainty evidence), rimonabant in assisted abstainers (1 study, RR 1.29, 95% CI 1.08 to 1.55), and nicotine replacement therapy (NRT) in unaided abstainers (2 studies, n = 2261, RR 1.24, 95% Cl 1.04 to 1.47, I² = 56%). The remainder of analyses of pharmacotherapies in abstainers had wide confidence intervals consistent with both no effect and a statistically significant effect in favour of the intervention. These included NRT in hospital inpatients (2 studies, n = 1078, RR 1.23, 95% CI 0.94 to 1.60, I² = 0%), NRT in assisted abstainers (2 studies, n = 553, RR 1.04, 95% CI 0.77 to 1.40, I² = 0%; low certainty evidence), extended bupropion in assisted abstainers (6 studies, n = 1697, RR 1.15, 95% CI 0.98 to 1.35, I² = 0%; moderate certainty evidence), and bupropion plus NRT (2 studies, n = 243, RR 1.18, 95% CI 0.75 to 1.87, I² = 66%; low certainty evidence). Analyses of behavioural interventions in abstainers did not detect an effect. These included studies in abstinent pregnant and postpartum women at end of pregnancy (8 studies, n = 1523, RR 1.05, 95% CI 0.99 to 1.11, I² = 0%) and at postpartum follow-up (15 studies, n = 4606, RR 1.02, 95% CI 0.94 to 1.09, I² = 3%), studies in hospital inpatients (4 studies, n = 1300, RR 0.95, 95% CI 0.81 to 1.11, I² = 0%), and studies in assisted abstainers (10 studies, n = 5408, RR 0.99, 95% CI 0.87 to 1.13, I² = 56%; moderate certainty evidence) and unaided abstainers (5 studies, n = 3561, RR 1.06, 95% CI 0.96 to 1.16, I² = 1%) from the general population. Authors' conclusions: Behavioural interventions that teach people to recognise situations that are high risk for relapse along with strategies to cope with them provided no worthwhile benefit in preventing relapse in assisted abstainers, although unexplained statistical heterogeneity means we are only moderately certain of this. In people who have successfully quit smoking using pharmacotherapy, there were mixed results regarding extending pharmacotherapy for longer than is standard. Extended treatment with varenicline helped to prevent relapse; evidence for the effect estimate was of moderate certainty, limited by unexplained statistical heterogeneity. Moderate-certainty evidence, limited by imprecision, did not detect a benefit from extended treatment with bupropion, though confidence intervals mean we could not rule out a clinically important benefit at this stage. Low-certainty evidence, limited by imprecision, did not show a benefit of extended treatment with nicotine replacement therapy in preventing relapse in assisted abstainers. More research is needed in this area, especially as the evidence for extended nicotine replacement therapy in unassisted abstainers did suggest a benefit.
Article
Background: Individual counselling from a smoking cessation specialist may help smokers to make a successful attempt to stop smoking. Objectives: The review addresses the following hypotheses:1. Individual counselling is more effective than no treatment or brief advice in promoting smoking cessation.2. Individual counselling is more effective than self-help materials in promoting smoking cessation.3. A more intensive counselling intervention is more effective than a less intensive intervention. Search methods: We searched the Cochrane Tobacco Addiction Group Specialized Register for studies with counsel* in any field in May 2016. Selection criteria: Randomized or quasi-randomized trials with at least one treatment arm consisting of face-to-face individual counselling from a healthcare worker not involved in routine clinical care. The outcome was smoking cessation at follow-up at least six months after the start of counselling. Data collection and analysis: Both authors extracted data in duplicate. We recorded characteristics of the intervention and the target population, method of randomization and completeness of follow-up. We used the most rigorous definition of abstinence in each trial, and biochemically-validated rates where available. In analysis, we assumed that participants lost to follow-up continued to smoke. We expressed effects as a risk ratio (RR) for cessation. Where possible, we performed meta-analysis using a fixed-effect (Mantel-Haenszel) model. We assessed the quality of evidence within each study using the Cochrane 'Risk of bias' tool and the GRADE approach. Main results: We identified 49 trials with around 19,000 participants. Thirty-three trials compared individual counselling to a minimal behavioural intervention. There was high-quality evidence that individual counselling was more effective than a minimal contact control (brief advice, usual care, or provision of self-help materials) when pharmacotherapy was not offered to any participants (RR 1.57, 95% confidence interval (CI) 1.40 to 1.77; 27 studies, 11,100 participants; I(2) = 50%). There was moderate-quality evidence (downgraded due to imprecision) of a benefit of counselling when all participants received pharmacotherapy (nicotine replacement therapy) (RR 1.24, 95% CI 1.01 to 1.51; 6 studies, 2662 participants; I(2) = 0%). There was moderate-quality evidence (downgraded due to imprecision) for a small benefit of more intensive counselling compared to brief counselling (RR 1.29, 95% CI 1.09 to 1.53; 11 studies, 2920 participants; I(2) = 48%). None of the five other trials that compared different counselling models of similar intensity detected significant differences. Authors' conclusions: There is high-quality evidence that individually-delivered smoking cessation counselling can assist smokers to quit. There is moderate-quality evidence of a smaller relative benefit when counselling is used in addition to pharmacotherapy, and of more intensive counselling compared to a brief counselling intervention.
Article
Background Tobacco use kills half a million people every month, most in low-middle income countries (LMICs). There is an urgent need to identify potentially low-cost, scalable tobacco cessation interventions for these countries. Objective To evaluate a brief community outreach intervention delivered by health workers to promote tobacco cessation in India. Design Cluster-randomised controlled trial. Setting 32 low-income administrative blocks in Delhi, half government authorised ('resettlement colony') and half unauthorised ('J.J. cluster') communities. Participants 1213 adult tobacco users. Interventions Administrative blocks were computer randomised in a 1:1 ratio, to the intervention (16 clusters; n=611) or control treatment (16 clusters; n=602), delivered and assessed at individual level between 07/2012 and 11/2013. The intervention was single session quit advice (15 min) plus a single training session in yogic breathing exercises; the control condition comprised very brief quit advice (1 min) alone. Both were delivered via outreach, with contact made though household visits. Measurements The primary outcome was 6-month sustained abstinence from all tobacco, assessed 7 months post intervention delivery, biochemically verified with salivary cotinine. Results The smoking cessation rate was higher in the intervention group (2.6% (16/611)) than in the control group (0.5% (3/602)) (relative risk=5.32, 95% CI 1.43 to 19.74, p=0.013). There was no interaction with type of tobacco use (smoked vs smokeless). Results did not change materially in adjusted analyses, controlling for participant characteristics. Conclusions A single session community outreach intervention can increase tobacco cessation in LMIC. The effect size, while small, could impact public health if scaled up with high coverage.