Can a Computer-Based Prescription of Free Medication Increase Smoking Cessation Rates Efficiently?

Abstract

OBJECTIVES:In 2011, in the context of a research project, bupropion and varenicline were distributed to smoking cessation clinics by the Ministry of Health of Turkey to be prescribed free of charge by a computer-based system. In the present study, we compared smoking cessation rates between patients who were prescribed free medications during the period of the project and those who had to pay for their medication. MATERIAL AND METHODS:Six hundred four patients who applied during the project period were given either bupropion or varenicline, which were prescribed using an algorithm-based computer system. Three hundred sixteen patients who applied after that period were prescribed medicines deemed appropriate by the attending physician but had to pay for the medication on their own. Follow-up visits were arranged for one year. Carbon monoxide (CO) levels in the expired air were used as indicators of cessation. RESULTS:A total of 537 patients began treatment, of which 438 (81.6%) applied during the first period (group 1) and 99 (18.4%) applied during the second period (group 2). The mean age and concomitant disease presence were higher in the second-period patients (p< 0.05). Advanced age, comorbidities, pathological findings in spirometry, and chest X-ray were also higher in those who paid for the cost of their treatment (p= 0.009, 0.001, 0.006, 0.001, respectively). Smoking cessation rates were found to be 14.8% and 27.3% after six months (p= 0.008) and 10.7% and 18.2% after one year (p= 0.059), respectively, for group 1 and group 2. Age, dependence score, cigarettes smoked (as pack-years), and percentage of patients who paid for the treatment were found to be significantly higher (p< 0.001, 0.021, 0.018, 0.001, respectively) for those who quit smoking at the end of six months. For the patients who quit smoking at the end of one year, age was found to be significantly higher (p= 0.008), and the number of males was higher, although the difference was not statistically significant (p= 0.05). When logistic regression analysis was applied, age, dependence score, and paid treatment were found to be independent variables (p= 0.002, 0.008, 0.012, respectively) for those who quit smoking at the end of six months. Only age was found to be an independent variable for those who quit smoking at the end of one year (p= 0.029). CONCLUSION:More smokers could receive treatment by the distribution of free drugs. However, quitting rates at the end of six months were higher when patients had to pay for their treatment. On the other hand, quitting rates at the end of one year were not affected by whether the treatment was paid for or free of charge. The most important factor increasing quitting rates at the end of six months and one year was found to be advanced age.