G.N. Chua
Universiti Sains Malaysia
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Featured researches published by G.N. Chua.
ClinicoEconomics and Outcomes Research | 2014
Asrul Akmal Shafie; Yen Wei Lim; G.N. Chua; M.A. Hassali
Introduction The incremental cost-effectiveness ratio (ICER) is typically compared with a reference value to support the cost-effectiveness of a decision. One method for estimating this value is to estimate the willingness-to-pay (WTP) for a quality-adjusted life-year (QALY). This study was conducted to explore the WTP for a QALY in the Malaysian population. Methods A cross-sectional, contingent valuation study was conducted in Penang, Malaysia. Respondents were selected from randomly chosen geographical grids of Penang. Respondents’ sociodemographic information, qualities of life, and WTP for one additional QALY were collected using predesigned questionnaires in face-to-face interviews. WTP values were elicited using a double-bound dichotomous choice via a bidding game approach. The Heckman selection model was applied to the analysis of the mean WTP/QALY values, where the “protest zero” values, which may contribute to selection bias, were excluded. Results The mean value of WTP for an additional QALY gained was estimated to be MYR (Malaysian Ringgit) 29,080 (~USD 9,000). Key factors that affected the WTP include ethnicity and estimated monthly household income. Conclusion The study findings suggested that the cost-effectiveness threshold value as studied in Penang, Malaysia was estimated to be MYR 29,080.
International Journal of Pharmacy Practice | 2014
G.N. Chua; Lai Jiuan Yee; Bee Ai Sim; Keat Hin Tan; Ng Khai Sin; M.A. Hassali; Asrul Akmal Shafie; Guat See Ooi
The aims of the study were to assess job satisfaction and organisational commitment among pharmacists working in the public sector and its influence on their likelihood to stay within the public workforce.
Journal of pharmacy practice and research | 2017
Guat See Ooi; Mohamed Azmi Hassali; Asrul Akmal Shafie; David C. M. Kong; Vivienne Mak; G.N. Chua
Around the globe, community pharmacy has always been a health care hub made accessible to the public.
PLOS ONE | 2013
Mohamed Azmi Hassali; Abdul Haniff Mohamad Yahaya; Asrul Akmal Shafie; Fahad Saleem; G.N. Chua; Hisham Aljadhey
Objective The study aims to evaluate the predictors of non-prescription medicine purchasing patterns among pharmacy patrons in Malaysia. Methods A cross-sectional nationwide study was undertaken in 2011 in sixty randomly selected community pharmacies across 14 Malaysian states. A pharmacy exit survey was conducted over a 6-month period across Malaysia. A one-stage random cluster sampling technique was employed as there was no national sampling framework available for conducting this survey. Face-to-face interviews using a validated and pre-tested questionnaire were conducted by trained data collectors. The non-prescription medicine purchasing pattern was explored and analysed descriptively. Chi-square/Fisher exact test was used to determine the association between study variables. Multinomial logistic regression analysis was used to determine the predictors of type of non-prescription medicine purchased. Results A total of 2729 pharmacy patrons agreed to participate in 60 selected pharmacy outlets. A total of 3462 non-prescription medicine were purchased during the study period with an average of 1.3 medicines per participant. Most of the non-prescription medicine purchased was meant for alimentary tract and metabolism (31.8%), followed by respiratory system (19.4%) and musculoskeletal system (15.8%) usage. Factors found to be associated with the choice of non-prescription medicine purchased were age group [χ2 = 170.75, (df = 57), p<0.01], locality [χ2 = 48.16, (df = 19), p<0.01], gender [χ2 = 32.93, (df = 13), p = 0.002], ethnic group [χ2 = 118.89, (df = 39), p<0.01] and type of occupation [χ2 = 222.434, (df = 117), p<0.01]. Non-prescription medicine purchased defined about 20% of the variance in the combination of predictors such as locality, gender, age, ethnicity, type of occupation and household income. Conclusion The predictors for selection of non-prescription medicine were locality (urban or rural), gender, age, ethnicity, type of occupation and household income per month. Future studies need to explore the safety and effectiveness of using these non-prescription medicines.
Health Policy | 2010
G.N. Chua; Mohamed Azmi Hassali; Asrul Akmal Shafie; Ahmed Awaisu
Value in Health | 2012
M.A. Hassali; A.A. Shafie; Fahad Saleem; M. Atif; G.N. Chua; Imran Masood; N. Haq
Value in Health | 2014
Yen Wei Lim; A.A. Shafie; G.N. Chua; M.A. Hassali
Value in Health | 2016
Gs Ooi; A Ahmad Hassali; A.A. Shafie; David C. M. Kong; Vivienne Mak; G.N. Chua
International Journal of Pharmacy Practice | 2016
G.N. Chua; Mandy Ryan; Terry Porteous; Christine Bond
Research in Social & Administrative Pharmacy | 2014
Guat See Ooi; M.A. Hassali; A.A. Shafie; David C. M. Kong; G.N. Chua; Vivienne Mak