Valuation for cigarettes among University of the Philippines Manila students through stated preference methods

OBJECTIVE:The study aimed to assess the valuation for cigarettes among UP Manila students aged 18-24 through direct and indirect stated preference methods.METHODS: Direct (iterative bidding) and indirect (discrete choice experiment) stated preference methods were utilized to determine the smokers' Willingness-to-Pay (WTP) and non-smokers' Willingness-to-Accept (WTA). Median and interquartile range were used in describing both WTP and WTA. Fisher's Exact Test and T-test were performed using STATA v12 to determine the association between the identified factors.  RESULTS: Of the 212 respondents, 21 (9.91%) were smokers. The smokers' direct and indirect WTP for a cigarette stick were PhP 6.00 and PhP 12.43, respectively. There was a significant difference (p=0.01) between the results of the two methods. Meanwhile, 40.84% of the non-smokers could be induced to smoke with PhP 0.00 as their WTA. No significant association was found between the smokers' stated preference and their smoking status and allowance. The WTP of the smokers was higher than the December 2013 retail prices of cigarettes.CONCLUSION: The increased cigarette prices brought about by the Sin Tax Law were insufficient in stopping the selected UP Manila students to smoke. In addition, forty percent of non-smokers in the study could be induced to smoke. Thus, further price increase of cigarettes, as well as other tobacco control measures, is recommended to discourage smoking among the youth such as college students, specifically in UP Manila.

Sample size determination in an epidemiologic study using the EpiTools web-based calculator

OBJECTIVES: To evaluate the utility of using a web-based sample size calculator in the preparation of a research proposal. METHODS: EpiTools, a free web-based calculator for sample size determination, was used in various study designs. RESULTS: Computations of sample size needed for several simple epidemiologic study designs were calculated using different assumptions. The calculator was straightforward to use and user- friendly. The results were calculated quickly. Comparison of the computed sample size using different assumptions may be done to assist in evaluating research project feasibility. The input data and output of the sample size calculation may be transformed into a report for inclusion in the written research proposal. CONCLUSION: The EpiTools web-based calculators is a convenient tool for sample size determination in the design of research protocols in relatively simple study designs. It may be used in evaluating the feasibility of the computed sample size needed by the study design.