| Literature DB >> 30217187 |
Peter Selby1,2,3,4, Sabrina Voci5, Laurie Zawertailo5,6, Dolly Baliunas5,7, Rosa Dragonetti5, Sarwar Hussain5.
Abstract
BACKGROUND: Provision of evidence-based smoking cessation treatment may contribute to health disparities if barriers to treatment are greater for more disadvantaged groups. We describe and evaluate the public health impact of a novel outreach program to improve access to smoking cessation treatment in Ontario, Canada.Entities:
Keywords: Nicotine replacement therapy; Smoking; Smoking cessation; Tobacco
Mesh:
Year: 2018 PMID: 30217187 PMCID: PMC6137944 DOI: 10.1186/s12889-018-6012-6
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Fig. 1Flow diagram of workshop activities for public health and STOP staff
Reach and Adoption of Smoking Cessation Workshops in Ontario, Canada: 2007–2016
| Year | Number of workshops (range for individual PHUs) | Reach | Adoption | ||
|---|---|---|---|---|---|
| Number of enrollments (range for individual PHUs) | Proportion of eligible smokers in Ontario reacheda | Number of PHUs that partnered with STOP to deliver workshops | Number of partnering PHUs that delivered workshops without STOP on-site | ||
| 2007 | 64 (1–7) | 2927 (13–673) | 0.2% | 20 (56%) | N/A |
| 2008 | 109 (1–7) | 3082 (6–241) | 0.2% | 29 (81%) | N/A |
| 2009 | 31 (1–6) | 821 (4–153) | 0.1% | 12 (33%)b | N/A |
| 2010 | 69 (1–13) | 1788 (5–192) | 0.2% | 20 (56%)b | N/A |
| 2011 | 85 (1–8) | 2675 (28–219) | 0.2% | 31 (86%) | 1/31 (3%) |
| 2012 | 107 (1–17) | 1981 (14–358) | 0.2% | 26 (72%) | 6/26 (23%) |
| 2013 | 149 (1–15) | 2700 (5–300) | 0.2% | 35 (97%) | 22/35 (63%) |
| 2014 | 286 (1–25) | 3583 (3–302) | 0.3% | 33 (92%) | 29/33 (93%) |
| 2015 | 252 (1–29) | 2876 (4–459) | N/A | 30 (83%) | 28/30 (93%) |
| 2016 | 442 (1–53) | 3689 (5–485) | N/A | 29 (81%) | 29/29 (100%) |
| 2007–2016 | Total = 1594 | Total = 26,122 | Average = 0.2% | Total = 36/36c | Total = 34/36c |
In addition to workshops held in partnership with PHUs, the total number of workshops and enrollments also includes workshops held in partnership with a small number of other healthcare-related organizations
N/A Not available, PHU Public Health Unit
aBased on Canadian Community Health Survey estimates of daily smokers (10+ cigarettes/day; at least 18 years old); not available for 2015–2016 at time of analysis [36–39]
bFewer workshops due to funding gap for period between 2009 and 2010
cAt least one year between 2007 and 2016
Smoking Cessation Workshop Participant Demographics and Smoking Characteristics: 2007–2016
| 2007–2008 ( | 2009–2010 ( | 2011–2012 ( | 2013–2014 ( | 2015–2016 ( | |
|---|---|---|---|---|---|
| Sex, % (n) | |||||
| Female | 57.9 (3477) | 54.8 (1419) | 54.6 (2539) | 55.0 (3444) | 56.2 (3675) |
| Male | 42.1 (2526) | 45.2 (1171) | 45.4 (2115) | 45.0 (2814) | 43.8 (2859) |
| Age (yrs), % (n) | |||||
| 18–29 | 8.0 (476) | 8.1 (208) | 8.8 (408) | 8.8 (551) | 7.0 (460) |
| 30–44 | 29.0 (1734) | 26.0 (671) | 25.4 (1177) | 26.2 (1635) | 22.6 (1472) |
| 45–59 | 46.1 (2750) | 46.9 (1210) | 47.6 (2207) | 46.5 (2905) | 46.7 (3050) |
| 60–74 | 16.1 (959) | 18.0 (465) | 17.2 (799) | 17.3 (1077) | 22.3 (1457) |
| 75+ | 0.9 (51) | 1.0 (27) | 1.0 (47) | 1.2 (73) | 1.3 (88) |
| Annual household income before tax (C$), % (n) | |||||
| ≤ 20,000 | 28.9 (1722) | 34.4 (882) | 38.6 (1780) | 36.4 (2276) | 35.9 (2345) |
| 20,001–40,000 | 20.6 (1224) | 20.8 (533) | 21.6 (998) | 19.9 (1242) | 20.6 (1349) |
| > 40,000 | 40.7 (2424) | 36.1 (924) | 30.2 (1395) | 29.2 (1828) | 28.7 (1873) |
| Not reported | 9.8 (583) | 8.7 (224) | 9.6 (443) | 14.5 (907) | 14.8 (966) |
| Education, % (n) | |||||
| Less than high school diploma | 22.1 (1319) | 23.4 (599) | 23.8 (1104) | 21.1 (1296) | 21.3 (1374) |
| High school diploma | 47.8 (2847) | 46.8 (1197) | 46.4 (2149) | 41.6 (2562) | 46.5 (3006) |
| Post-secondary degree | 30.1 (1795) | 29.8 (761) | 29.7 (1376) | 37.3 (2297) | 32.2 (2080) |
| Urban/rural residence, % (n)a | |||||
| Urban | 81.2 (4420) | 75.0 (1791) | 82.7 (3634) | 82.2 (4516) | 90.9 (5293) |
| Rural | 18.8 (1022) | 25.0 (597) | 17.3 (761) | 17.8 (976) | 9.1 (528) |
| Cigarettes/day, % (n) | |||||
| < 20 | 39.9 (2400) | 36.3 (946) | 37.8 (1758) | 37.1 (2331) | 36.8 (2409) |
| 20+ | 60.1 (3609) | 63.7 (1663) | 62.2 (2898) | 62.9 (3947) | 63.2 (4143) |
| Time to first cigarette after waking (min), % (n) | |||||
| ≤ 5 | 43.1 (2583) | 44.9 (1160) | 43.5 (2017) | 43.1 (2691) | 43.7 (2845) |
| 6–30 | 43.6 (2617) | 43.7 (1128) | 46.7 (2164) | 45.3 (2829) | 42.7 (2784) |
| 31+ | 13.3 (797) | 11.4 (295) | 9.8 (456) | 11.6 (724) | 13.6 (885) |
| Lifetime diagnosis of psychiatric disorder, % (n)b | |||||
| 1+ | 36.7 (2203) | 40.6 (1047) | 46.7 (2150) | 46.9 (2891) | 50.7 (3183) |
| None | 63.3 (3794) | 59.4 (1532) | 53.3 (2452) | 53.1 (3267) | 49.3 (3090) |
Sample sizes vary due to missing data
aBased on Rurality Index for Ontario score [40]: 0–39 = urban, 40–100 = rural
bSelf-reported diagnosis of depression, anxiety, bipolar disorder, and/or schizophrenia
Self-Reported Quit Outcomes at 6-Month Follow-Up (Effectiveness and Maintenance): 2007–2016
| Year of workshop | Survey mode | Response rate | Crude 7-day point prevalence abstinence | Standardized 7-day point prevalence abstinencea |
|---|---|---|---|---|
| 2007 | Telephone | 34.1% (999) | 23.8% (232) | 23.8% |
| 2008 | Telephone or IVR | 21.8% (672) | 28.2% (189) | 28.1% |
| 2009 | Telephone or IVR | 18.4% (151) | 28.7% (43) | 28.1% |
| 2010 | Telephone | 56.5% (1010) | 21.9% (217) | 22.5% |
| 2011 | E-mail or telephone | 49.7% (1330) | 24.5% (325) | 25.4% |
| 2012 | E-mail or telephone | 50.6% (1003) | 23.6% (237) | 23.8% |
| 2013 | 19.4% (525) | 27.7% (145) | 27.3% | |
| 2014 | 14.1% (505) | 28.4% (142) | 27.7% | |
| 2015 | 14.7% (424) | 35.0% (145) | 33.1% | |
| 2016 | 13.7% (507) | 32.7% (164) | 32.4% |
IVR interactive voice response
aStandardized by gender, cigarettes/day, time to first cigarette upon waking and mental health diagnosis, based on 2007 sample