| Literature DB >> 26566385 |
Cemil Isik Sonmez1, Leyla Yilmaz Aydin2, Yasemin Turker3, Davut Baltaci1, Suber Dikici4, Yunus Cem Sariguzel5, Fatih Alasan2, Mehmet Harun Deler6, Mehmet Serkan Karacam7, Mustafa Demir8.
Abstract
BACKGROUND: Primary care providers are uniquely positioned to initiate smoking cessation. We aimed to evaluate knowledge levels about the health effects of smoking and attitudes toward smoking and tobacco control activities among primary care providers.Entities:
Year: 2015 PMID: 26566385 PMCID: PMC4642762 DOI: 10.1186/s12971-015-0062-7
Source DB: PubMed Journal: Tob Induc Dis ISSN: 1617-9625 Impact factor: 2.600
Smoking habits of primary care physicians and nurses
| Smoking habits | PCPhs (%, means ± SD) | PCNs (%, means ± SD |
|
|---|---|---|---|
| Smoking status | |||
| Current | 34.4 % | 30.7 % | |
| Former | 14.0 % | 10.1 % | <0.001 |
| Non-smoker | 51.5 % | 59.3 % | |
| Duration of smoking (year) | 14.6 ± 7.2 | 12.1 ± 6.2 | <0.001 |
| Age of smoking initiation (year) | 21.7 ± 5.1 | 20.6 ± 4.3 | 0.086 |
| Age of smoking cessation (year) | 34.2 ± 6.5 | 29.3 ± 6.2 | <0.001 |
| Amount of cigarette a day (unit) | 19.2 ± 6.6 | 14.8 ± 8.9 | <0.001 |
| FNDT | 3.7 ± 2.7 | 3.4 ± 2.2 | 0.251 |
FNDT Fagerstrom nicotine dependence test, SD standard deviation, PCPhs Primary care physicians; PCNs Primary care nurses. P represented statistical value of variables between primary care providers. For statistical analysis, chi-square test was used to compare categorical variables, and student-t test was used to compare continues variables. P < 0.05 vas accepted as statistical significant
“Intention to give up smoking” of primary care physicians and nurses
| Intention to give up smoking | PCPhs (%) | PCNs (%) |
|
|---|---|---|---|
| Ready to quit smoking right now | 22.1 | 18.2 | 0.103 |
| Ready to quit smoking within next 6 months | 44.7 | 37.2 | |
| Not ready to quit smoking within next 6 months | 40.7 | 37.1 |
P represented statistical value of variables between primary care providers. For statistical analysis, Fisher’s exact test was used to compare categorical variables, P < 0.05 vas accepted as statistical significant
Knowledge level about smoking effects of primary care physicians and nurses
| Health effects of smoking | PCPhs (%) | PCNs (%) |
|
|---|---|---|---|
| Neonatal effect of passive smoking | 90.4 | 86.1 | <0.001 |
| Harmful health effects of smoking | 98.9 | 98.3 | 0.098 |
| Cardiac effect of passive smoking | 97.1 | 95.6 | 0.043 |
| Effect of paternal smoking on exposed children | 98.7 | 96.9 | 0.002 |
| Effect of maternal smoking during pregnancy on offspring | 94.6 | 88.9 | <0.001 |
P represented statistical value of variables between primary care providers. For statistical analysis, Fisher’s exact test was used to compare categorical variables, P < 0.05 vas accepted as statistical significant
Altitudes towards smoking of primary care physicians and nurses
| Altitudes towards smoking | PCPhs (%) | PCNs (%) |
|
|---|---|---|---|
| Role model of health provider for patients and public | 96.2 | 90.1 | <0.001 |
| Setting prototype by not smoking | 91.8 | 89.9 | 0.332 |
| Routine asking about patients’ smoking habits by PCPs | 87.3 | 80.1 | <0.001 |
| Routine advise patients to quit smoking by PCPs | 89.2 | 80.7 | <0.001 |
| Getting a specific training on cessation | 86.6 | 78.3 | <0.001 |
| Speaking to community groups about smoking | 70.1 | 69.8 | 0.212 |
| Prohibition of smoking in closed public area | 93.5 | 93.7 | 0.749 |
| Health warning on cigarette package | 89.5 | 89.3 | 0.935 |
| Banning sponsorship supported by tobacco industry | 88.7 | 86.5 | 0.008 |
| Extension of ban on the tobacco product advertising | 90.9 | 90.1 | 0.737 |
| Sharp increase the price of tobacco product | 69.7 | 70.8 | 0.504 |
| Advice patients to avoid smoking around their children | 97.7 | 97.5 | 0.292 |
| Pharmacotherapy is useful for smoking cessation | 59.5 | 46.6 | <0.001 |
| Less likely to advise people to stop smoking, if HCPs smoke | 55.3 | 52.5 | 0.386 |
| Increase in chance of quitting smoking advised by HCPs | 86.6 | 79.8 | <0.001 |
P represented statistical value of variables between primary care providers. For statistical analysis, Fisher’s exact test was used to compare categorical variables, P < 0.05 vas accepted as statistical significant
Fig. 1Demonstrated that “Ask” and “Advise” steps of 5A Smoking Cessation Practice implemented by primary care physicians (PCPhs) and nurses (PCNs)
“Ask” and “Advise” steps of smoking cessation practice implemented by primary care physicians and nurses
| Smoking cessation practice steps | PCPhs (%) | PCNs (%) |
|
|---|---|---|---|
| Asking about smoking status | <0.001 | ||
| Regularly always asking | 33.8 | 27.6 | |
| Sometimes asking | 43.4 | 30.8 | |
| Never | 22.8 | 41.6 | |
| Advise patient to stop smoking | <0.001 | ||
| Advise to all smokers | 13.1 | 6.3 | |
| Advise to smokers with relevant medical conditions | 2.5 | 2.1 |
P represented statistical value of variables between primary care providers. For statistical analysis, chi-square test was used to compare categorical variables, P < 0.05 vas accepted as statistical significant
Fig. 2Demonstrated that barriers to tobacco intervention stated by primary care physicians and nurses: Lack of time (35.9 %) was predominantly stated by primary care physicians (PCPhs) and low patient priority (35.7 %) was predominantly stated by primary care nurses (PCNs) (P < 0.001)