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Prioritizing intervention measures to prevent inappropriate self-medication practices using the Analytical Hierarchy
Birendra Shrivastava1, Omi Bajracharya2, Rajani Shakya3
1School of Pharmaceutical Sciences, Jaipur National University, Jagatpura, Jaipur 302017, India.
Background:
United Nations Sustainable Development Goal 3 outlines the target of reducing premature mortality from non-communicable diseases by one third through prevention and treatment by 2030. In low and middle-income countries (LMICs) like Nepal, a significant number of people do not have accessible and affordable healthcare services available to them, leading to self-medication practices (SMP). Limited numbers of health professionals, ineffective regulation and easy availability of prescription medicines encourage the use of inappropriate SMP, which could result in health risks.
Objectives:
The objection of the study is to test the application of Analytical Hierarchy Process (AHP) for prioritizing the intervention measures for preventing inappropriate SMP.
Methods:
The 25 experts were included in the study, out of which only 16 experts passed the consistency test. Data were collected using a structured questionnaire by the application of AHP model for ranking the intervention measures for preventing inappropriate SMP from March 2020 to May 2020. During this process, the purposively selected experts compared seven intervention measures based on three criteria: control use of prescription and non-prescription medicine, knowledge regarding the medicine and its use, and minimizing healthcare cost.
Result:
The criteria, "control use of prescription and non-prescription medicine" was judged 3.58 times and 1.53 times more important than to "minimize the healthcare cost" and "knowledge regarding the medicine and its use" respectively. "Regulation of prescription and non-prescription dispensing practice" was the most prioritized intervention measure to prevent inappropriate SMP with a priority score of 20.68% followed by the "accessibility of healthcare system" (19.27%) and "awareness program for the consumers" (17.13%).
Conclusion:
The AHP method can be used in decision-making related to prioritizing the intervention measures to prevent inappropriate SMP. Among the seven intervention measures considered, "regulation of prescription and non-prescription dispensing practice" was the most preferred intervention measure to improve SMP followed by "access to healthcare" and an "awareness program".
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