TY - JOUR
T1 - Evaluation of the Factors Associated with Prescribed and Non-Prescribed Medicine
T2 - A Population-Based Study
AU - Eskandari, Mehrnoosh
AU - Alizadeh Bahmani, Amir Hossein
AU - Hoorang, Mehdi
AU - Zare, Marziyeh
AU - Afifi, Saba
AU - Karimzadeh, Iman
AU - Azadi, Soha
AU - Sabzghabaee, Ali Mohammad
AU - Lankarani, Kamran B
AU - Ahmadizar, Fariba
AU - Peymani, Payam
N1 - Funding Information: This work was supported by grants from the Shiraz University of Medical Sciences Vice-chancellor of the Research and Health Policy Research Center (Grant Number: 95-01-62-11926), Iran. Publisher Copyright: © 2023 Bentham Science Publishers.
PY - 2023
Y1 - 2023
N2 - OBJECTIVES: Several factors influence medication patterns. The purpose of this study was to look into the role of social determinants in the use of prescribed and non-prescribed medications in a population-based setting of people over 18 in a southern metropolis of Iran (Shiraz) for 2 years.STUDY DESIGN: Prospective population-based cross-sectional.METHODS: This descriptive and cross-sectional survey was done in 2018-2020. A total of 1016 participants were randomly selected based on their postal codes and recruited to the study. The demographic characteristics (age, sex, and education), social profiles (insurance, supplementary insurance, health status, and daily exercise plan), and outpatient visits (family/general physician or specialist/ subspecialist) were recorded by gathering sheets. Descriptive analyses and multinomial logistic analyses were carried out using SPSS software.RESULTS: The medication use pattern was classified into three categories: non-prescribed type I, non-prescribed type II, and prescribed. The mean age of participants was 45.54 ± 15.82 years. The results indicated that most of them took their medication without a prescription (non-prescribed type II). However, people who had insurance and referred to a family physician commonly used the prescribed medications. This study also found that patients who visited a family doctor or a general practitioner used fewer prescribed drugs than those who visited a specialist.CONCLUSION: This study describes social determinants as additional effective factors in health services that influence the use of prescribed and non-prescribed medications in Shiraz. These evidence- based findings can help policymakers to plan the best programs.
AB - OBJECTIVES: Several factors influence medication patterns. The purpose of this study was to look into the role of social determinants in the use of prescribed and non-prescribed medications in a population-based setting of people over 18 in a southern metropolis of Iran (Shiraz) for 2 years.STUDY DESIGN: Prospective population-based cross-sectional.METHODS: This descriptive and cross-sectional survey was done in 2018-2020. A total of 1016 participants were randomly selected based on their postal codes and recruited to the study. The demographic characteristics (age, sex, and education), social profiles (insurance, supplementary insurance, health status, and daily exercise plan), and outpatient visits (family/general physician or specialist/ subspecialist) were recorded by gathering sheets. Descriptive analyses and multinomial logistic analyses were carried out using SPSS software.RESULTS: The medication use pattern was classified into three categories: non-prescribed type I, non-prescribed type II, and prescribed. The mean age of participants was 45.54 ± 15.82 years. The results indicated that most of them took their medication without a prescription (non-prescribed type II). However, people who had insurance and referred to a family physician commonly used the prescribed medications. This study also found that patients who visited a family doctor or a general practitioner used fewer prescribed drugs than those who visited a specialist.CONCLUSION: This study describes social determinants as additional effective factors in health services that influence the use of prescribed and non-prescribed medications in Shiraz. These evidence- based findings can help policymakers to plan the best programs.
KW - OTCS
KW - Population-based study
KW - medication
KW - non-prescribed
KW - prescribed
KW - socioeconomic position
UR - http://www.scopus.com/inward/record.url?scp=85159835798&partnerID=8YFLogxK
U2 - https://doi.org/10.2174/1574886318666221020112722
DO - https://doi.org/10.2174/1574886318666221020112722
M3 - Article
C2 - 36330640
SN - 1574-8863
VL - 18
SP - 528
EP - 533
JO - Current drug safety
JF - Current drug safety
IS - 4
ER -