| Literature DB >> 27188506 |
Tai-Yin Wu1,2, Ling-Yu Hung3, Wei-Chu Chie2, Tai-Yuan Chiu4, Fei-Ran Guo5.
Abstract
BACKGROUND: The Taiwanese government increased financial subsidies for smoking cessation services in 2012. We aimed to evaluate the effects of this new policy on smoking cessation services from the physician's perspective.Entities:
Keywords: Cross-sectional study; Government’s subsidization; Smoking cessation services
Mesh:
Year: 2016 PMID: 27188506 PMCID: PMC4869352 DOI: 10.1186/s12889-016-3052-7
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Baseline characteristics of the respondents and non-respondents
| Characteristics | Respondents ( | Non-respondents ( |
| ||
|---|---|---|---|---|---|
| n | (%) | n | (%) | ||
| Gender | |||||
| Male | 535 | (88.4) | 628 | (88.0) | 0.79 |
| Female | 70 | (11.6) | 86 | (12.0) | |
| Age (years) | |||||
| 39 and under | 103 | (17.0) | 162 | (22.7) | 0.001 |
| 40-59 | 395 | (65.3) | 470 | (65.8) | |
| 60 and over | 107 | (17.7) | 82 | (11.5) | |
| Specialty | |||||
| Family medicine | 339 | (56.1) | 324 | (47.7) | 0.009 |
| Internal medicine | 142 | (23.5) | 166 | (24.4) | |
| Psychiatry | 10 | (1.7) | 17 | (2.5) | |
| Others | 114 | (18.8) | 172 | (25.3) | |
| Practicing institution | |||||
| Medical center | 25 | (4.1) | 40 | (5.6) | <0.001 |
| Regional hospital | 61 | (10.1) | 190 | (26.7) | |
| Community hospital | 56 | (9.3) | 11 | (1.5) | |
| Primary care setting | 463 | (76.5) | 471 | (66.2) | |
| Smoking status | |||||
| Non-smoker | 531 | (87.8) | - | - | |
| Ex-smoker | 68 | (11.2) | - | - | |
| Current smoker | 6 | (1.0) | - | - | |
The impact of the new subsidization policy to smoking cessation services
| Impact | Strongly disagree & disagree | Neutral | Agree & strongly agree | |||
|---|---|---|---|---|---|---|
|
| (%) |
| (%) |
| (%) | |
| Patient changes | ||||||
| Increase in the number of smoking cessation patients | 58 | (9.6) | 31 | (5.1) | 516 | (85.3) |
| Increase in follow-up visits of smoking cessation patients | 206 | (34.0) | 147 | (24.3) | 252 | (41.6) |
| Increase in patients’ willingness to adopt pharmacotherapy for smoking cessation | 145 | (24.0) | 127 | (21.0) | 333 | (55.0) |
| Increase in the number of smoking cessation patients referred by other patients | 173 | (28.6) | 175 | (28.9) | 256 | (42.4) |
| Increase in patients’ abstinence rate | 129 | (21.3) | 176 | (29.1) | 299 | (49.6) |
| Physician’s attitudes towards the new policy | ||||||
| The new policy encourages more patients to quit smoking | 113 | (18.7) | 130 | (21.5) | 362 | (59.8) |
| The new policy helps me to prescribe smoking cessation medications | 71 | (11.7) | 112 | (18.5) | 422 | (69.8) |
| The new policy improves patients’ adherence to medications | 116 | (19.2) | 173 | (28.6) | 315 | (52.1) |
| The new policy improves quality of care | 87 | (14.4) | 176 | (29.1) | 341 | (56.5) |
| Overall, the new policy is an improvement over the previous policy | 87 | (14.4) | 143 | (23.6) | 375 | (61.9) |
| Possible barriers to the implementation of the new policy | ||||||
| Difficulties in providing services to inpatients and emergency room patients | 77 | (12.7) | 304 | (50.2) | 222 | (36.8) |
| Difficulties in tracking the abstinence rate of the patients | 161 | (26.6) | 203 | (33.6) | 240 | (39.8) |
| Difficulties in reimbursement and case report processes | 162 | (26.8) | 270 | (44.6) | 172 | (28.4) |
| Difficulties in applying for case management fees | 138 | (22.8) | 265 | (43.8) | 201 | (33.2) |
| Difficulties in using the information system | 182 | (30.1) | 277 | (45.8) | 145 | (24.0) |
| Changes in practicing 5As after the new policy | ||||||
| Increase in asking patients’ tobacco use status | 85 | (14.1) | 245 | (40.5) | 274 | (45.4) |
| Increase in advising patients to quit smoking | 81 | (13.4) | 230 | (38.0) | 293 | (48.5) |
| Increase in assessing patients’ willingness to quit | 88 | (14.5) | 225 | (37.2) | 291 | (48.2) |
| Increase in assisting patients to quit smoking | 116 | (19.2) | 194 | (32.1) | 294 | (48.7) |
| Increase in arranging follow-up visits | 97 | (16.0) | 240 | (39.7) | 267 | (44.2) |
Multiple regression models of summation indexes
| Factor | Patient changes | Physician attitudes | Possible barriers | Practice a5As | ||||
|---|---|---|---|---|---|---|---|---|
| ß |
| ß |
| ß |
| ß |
| |
| Physician’s age | −0.03 | 0.045 | −0.02 | 0.25 | −0.01 | 0.89 | −0.01 | 0.55 |
| Physician’s gender: male | 0.05 | 0.93 | 0.16 | 0.77 | −0.23 | 0.55 | 0.88 | 0.06 |
| Specialty: family medicine | 0.68 | 0.03 | 0.57 | 0.09 | 0.19 | 0.42 | 0.35 | 0.22 |
| Institution: medical center | 2.94 | 0.001 | 3.36 | 0.001 | 1.13 | 0.06 | 2.34 | 0.001 |
| Smoking status: non-smoker | 0.07 | 0.89 | 0.45 | 0.37 | −0.27 | 0.46 | 0.44 | 0.32 |
a5As: ask, advice, assess, assist, arrange
The impact of new subsidization policy to institutional changes in different levels of medical settings
| Impact | Total ( | Primary care settings ( | Community hospitals ( | Regional hospitals ( | Medical centers ( |
| |||||
|---|---|---|---|---|---|---|---|---|---|---|---|
|
| (%) |
| (%) |
| (%) |
| (%) |
| (%) | ||
| Increase in smoking cessation clinics | 167 | (27.6) | 125 | (27.0) | 15 | (26.8) | 15 | (24.6) | 12 | (48.0) | 0.134 |
| Increase in physicians providing smoking cessation services | 113 | (18.7) | 66 | (14.3) | 16 | (28.6) | 14 | (23.0) | 17 | (68.0) | <0.001 |
| Increase in expense of smoking cessation medications | 320 | (52.9) | 249 | (53.8) | 25 | (44.6) | 31 | (50.8) | 15 | (60.0) | 0.515 |
| Increase in case managers in charge of the follow-up of patients | 97 | (16.1) | 58 | (12.6) | 14 | (25.0) | 15 | (24.6) | 10 | (40.0) | <0.001 |
| Increase in professional counselors | 76 | (12.6) | 42 | (9.1) | 10 | (17.9) | 13 | (21.3) | 11 | (44.0) | <0.001 |