{"title":"Pattern of Self-medication and Associated Factors: A Study in Islamabad, Pakistan","authors":"Maryam Bashir","doi":"10.55737/qjss.254768849","DOIUrl":null,"url":null,"abstract":"The main objective was to identify the pattern of self-medication (use of medicinal products without prescription) and it’s associated socio-demographic factors (income, geographical area, gender, education level, e.t.c.) A cross-sectional study was carried out on a sample of 40 participants. Multi-stage sampling technique was used and sample was selected from 5 sectors and 5 sub-areas of the city. Univariate analysis was conducted for descriptive statistics. Two bivariate regression models were used. Self-medication and it’s relation to COVID-19 was also analysed. Most common symptoms for which self-medication was practised included headaches and migraines (27.27%) Results were analysed through SPSS version 26. Prevalence of self-medication behaviours in Islamabad was estimated to be 70%. Knowledge, perceptions and attitudes related to self-medication were also analysed. People who reported self-medication behaviours often receive information through internet and social media. Self medication rate is more prevalent in women, persons who are married, and in people with existing co- morbid conditions.","PeriodicalId":23539,"journal":{"name":"Volume 1, Issue 3","volume":"10 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Volume 1, Issue 3","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55737/qjss.254768849","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The main objective was to identify the pattern of self-medication (use of medicinal products without prescription) and it’s associated socio-demographic factors (income, geographical area, gender, education level, e.t.c.) A cross-sectional study was carried out on a sample of 40 participants. Multi-stage sampling technique was used and sample was selected from 5 sectors and 5 sub-areas of the city. Univariate analysis was conducted for descriptive statistics. Two bivariate regression models were used. Self-medication and it’s relation to COVID-19 was also analysed. Most common symptoms for which self-medication was practised included headaches and migraines (27.27%) Results were analysed through SPSS version 26. Prevalence of self-medication behaviours in Islamabad was estimated to be 70%. Knowledge, perceptions and attitudes related to self-medication were also analysed. People who reported self-medication behaviours often receive information through internet and social media. Self medication rate is more prevalent in women, persons who are married, and in people with existing co- morbid conditions.