Factors Affecting Intention to Receive Prescribed Medications at Community Pharmacies with Refill Service among Type II Diabetes Mellitus and Hypertension Patients at HRH Princess Maha Chakri Sirindhorn Medical Center
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Abstract
Objectives: To determine the level of intention to receive prescribed medications at community pharmacies among patients with type 2 diabetes mellitus and hypertension receiving care at HRH Princess Maha Chakri Sirindhorn Medical Center and factors affecting such intention. Methods: Ninety-four patients with chronic diseases receiving care at HRH Princess Maha Chakri Sirindhorn Medical Center chosen by convenience sampling. The subjects completed a self-administered questionnaire measuring variables related to receiving prescribed medications at community pharmacies including intention, attitudes, subjective norm and perceived behavioral control. Results: Average intention to receive prescribed medications at community pharmacies among the subjects was at 3.25±1.13 (from the full score of 5). Multiple regression analysis revealed subjective norm and perceived behavioral control having statistically significant effect on intention to receive prescribed medications at community pharmacies with standardized regression coefficients of 0.20 (P<0.05) and 0.59 (P<0.01), respectively. Attitudes towards receiving prescribed medications at community pharmacies had nor effects on intention for such behavior. All mentioned variables explained 73.2 percent of variance of intention to receive prescribed medications at community pharmacies. Conclusion: Subjective norm and perceived behavioral control were factors influencing intention to receive prescribed medications at community pharmacies among patients with type 2 diabetes mellitus and hypertension receiving care at HRH Princess Maha Chakri Sirindhorn Medical Center.
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ผลการวิจัยและความคิดเห็นที่ปรากฏในบทความถือเป็นความคิดเห็นและอยู่ในความรับผิดชอบของผู้นิพนธ์ มิใช่ความเห็นหรือความรับผิดชอบของกองบรรณาธิการ หรือคณะเภสัชศาสตร์ มหาวิทยาลัยสงขลานครินทร์ ทั้งนี้ไม่รวมความผิดพลาดอันเกิดจากการพิมพ์ บทความที่ได้รับการเผยแพร่โดยวารสารเภสัชกรรมไทยถือเป็นสิทธิ์ของวารสารฯ
References
Division of Non-Communicable Diseases. Number and incidence rate in 2016-2018 (hypertension, diabetes, atherosclerosis, stroke, COPD) [online]. 2020 [cited Jul 27, 2020]. Available from: www.thaincd.com/2016/mission/documents-detail. php?id=13684&tid=32&gid=1-020.
Viriyathorn S, Wanwong Y, Tisayaticom K, Patchara narumol W, Limwattananon S, Limwattananon C, et al. The inpatient and outpatient utilization by health care providers of Thai population in 2015. Journal of Health Systems Research. 2015; 11: 155-69.
Supasiri S, Puttapitukpol S, Plianbumroong D. The effects of a service model for the diabetic out-patient department on waiting time and patients’ satisfac tion. Thai Journal of Cardio-Thoracic Nursing. 2017; 28: 45-55.
Chatterjee S, Riewpaiboon A, Piyauthakit P, Riewpaiboon W, Boupaijit K, Panpuwong N, et al. Cost of diabetes and its complications in Thailand: a complete picture of economic burden. Health Soc Care Community. 2011; 19: 289-98.
Toondee W, Pulbutr P, Suttiraksa S, Kittiboonyakun P, Kerdchantuk P, Janeklang S, et al. Pharmaceu tical care and prescription refill for type 2 diabetes patients in a university pharmacy. Thai Journal of Pharmacy Practice. 2017; 9: 192-203.
Health Insurance System Research Office. The developing project for quality community pharmacies and universal health service systems [online]. 2009 [cited Jul 27, 2020]. Available from: www.hisro.or.th/main/modules/research/attachgovernance/155/Full-text.pdf
Wipatayotin A. Prescription trial set for October [online]. 2020 [cited May 19, 2020]. Available from: www.bangkokpost.com/thailand/general/1737995/prescription-trial-set-for-october.
Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process 1991; 50: 179-211.
Glanz K, Rimer BK, Viswanath K. Health behavior and health education: theory, research, and practice. 4th ed. San Francisco: John Wiley & Sons; 2008.
Pongam-Phai B, Songwathana P, Boonyasopun U. Factors predicting the intention of spouses of pregnant women to use screening services for HIV infection. Journal of Thailand Nursing and Midwifery Council. 2009; 24: 70-82.
Hanmanop K, Sumpowthong K, Homkham N. Predicting factors for intentions on using Thai traditional health care services and holistic health outcomesamong postpartum women. Thammasat Medical Journal. 2018; 18: 571-8.
Gong Z, Han Z, Li X, Yu C, Reinhardt JD. Factors influencing the adoption of online health consultation services: the role of subjective norm, trust, perceived benefit and offline habit. Front Public Health. 2019; 7: 286.
Kotler P. Kotler on marketing. New York: Free Press; 2012.
Pheungnate P. Overview of the services offered that affect the decision to use a private hospital in bangkok [master thesis]. Pathum Thani: Bangkok University; 2014.
Sutaksina W. Factors affecting buying decision on medicine in drugstores in Bangkok [master thesis]. Pathum Thani: Thammasat University; 2015.
Wattanasuwagul K. Factors of marketing mix influencing customers’ buying behavior, satisfaction and repurchase intention: a case study of Watsons drug store [master thesis]. Bangkok: Srinakharin wirot University; 2012.
Hair JF, Anderson RE, Babin BJ, Black WC. Multivariate data analysis: A global perspective. 7th ed. Upper Saddle River: Pearson education; 2010.
Santos JRA. Cronbach’s alpha: A tool for assessing the reliability of scales. J Ext 1999; 37: 1-5.
Cohen J, Cohen P, West SG, Aiken LS. Applied multiple regression/correlation analysis for the behavioral sciences. 3rd ed. Mahwah: Lawrence Erlbaum Associates; 2013.
Allen M. The Sage encyclopedia of communication research methods: Thousand Oaks. Sage; 2017.
