{"title":"探索主观幸福感对坚持服药的影响：一项针对多种慢性病患者的横断面研究","authors":"","doi":"10.1016/j.rcsop.2024.100496","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Medication non-adherence is a significant barrier to optimal treatment goals. The study explores the association between subjective well-being (SWB) and medication adherence among Lebanese individuals with multiple chronic diseases and identifies additional factors that may influence adherence in this population.</p></div><div><h3>Methods</h3><p>An exploratory, cross-sectional study was conducted for three months at six community pharmacies. Adherence was assessed using the Adherence to Refills and Medication Scale Arabic Lebanese Version (ARMS-A). The SWB was measured using the Arabic Scale of Happiness (ASH), Love of Life Scale (LLS), Arab Hope Scale (AHS), and Satisfaction with Life Scale (SWLS). Spearmen's Rho correlation analyzed the association between ARMS-A and SWB constructs. Binary logistic regression identified predictors of adherence among individuals with chronic diseases and on multiple chronic medications.</p></div><div><h3>Results</h3><p>Of 400 participants, 106 (26.5 %) with a 95 % CI, 0.22–0.31, were adherent. Lower medication adherence (reflected in higher ARMS-A scores) was associated with lower SWB (<em>p</em> = 0.01). Multivariate analysis showed that lower education (OR<!--> <!-->=<!--> <!-->2.21, 95 % CI, 1.01–4.81), lack of a specific diet (OR = 1.64, 95 % CI, 1.01–2.69), and frequent hospital and/or emergency visits (OR<!--> <!-->=<!--> <!-->3.29, 95 % CI, 1.75–6.17 for 2 visits; OR = 2.71, 95 % CI, 1.43–5.14 for ≥3 visits) significantly increased the odds of non-adherence to chronic treatment. However, higher income (OR = 0.06, 95 % CI, 0.01–0.38), healthcare provider occupation (OR = 0.42, 95 % CI, 0.21–0.48), and having diabetes mellitus (OR = 0.59, 95 % CI, 0.36–0.96) correlated with better adherence.</p></div><div><h3>Conclusion</h3><p>A significant portion of participants failed to adhere to their prescribed chronic medications, influenced by multicomplex socioeconomic, psychological, and health-related factors. These findings demonstrate the need for culturally-tailored, pharmacist-led interventions to improve medication adherence and overall health outcomes.</p></div>","PeriodicalId":73003,"journal":{"name":"Exploratory research in clinical and social pharmacy","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667276624000933/pdfft?md5=1bec07e54ffb5c03f625b8612f1135e5&pid=1-s2.0-S2667276624000933-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Exploring the impact of subjective well-being on medication adherence: A cross-sectional study among individuals with multiple chronic diseases\",\"authors\":\"\",\"doi\":\"10.1016/j.rcsop.2024.100496\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>Medication non-adherence is a significant barrier to optimal treatment goals. The study explores the association between subjective well-being (SWB) and medication adherence among Lebanese individuals with multiple chronic diseases and identifies additional factors that may influence adherence in this population.</p></div><div><h3>Methods</h3><p>An exploratory, cross-sectional study was conducted for three months at six community pharmacies. Adherence was assessed using the Adherence to Refills and Medication Scale Arabic Lebanese Version (ARMS-A). The SWB was measured using the Arabic Scale of Happiness (ASH), Love of Life Scale (LLS), Arab Hope Scale (AHS), and Satisfaction with Life Scale (SWLS). Spearmen's Rho correlation analyzed the association between ARMS-A and SWB constructs. Binary logistic regression identified predictors of adherence among individuals with chronic diseases and on multiple chronic medications.</p></div><div><h3>Results</h3><p>Of 400 participants, 106 (26.5 %) with a 95 % CI, 0.22–0.31, were adherent. Lower medication adherence (reflected in higher ARMS-A scores) was associated with lower SWB (<em>p</em> = 0.01). Multivariate analysis showed that lower education (OR<!--> <!-->=<!--> <!-->2.21, 95 % CI, 1.01–4.81), lack of a specific diet (OR = 1.64, 95 % CI, 1.01–2.69), and frequent hospital and/or emergency visits (OR<!--> <!-->=<!--> <!-->3.29, 95 % CI, 1.75–6.17 for 2 visits; OR = 2.71, 95 % CI, 1.43–5.14 for ≥3 visits) significantly increased the odds of non-adherence to chronic treatment. However, higher income (OR = 0.06, 95 % CI, 0.01–0.38), healthcare provider occupation (OR = 0.42, 95 % CI, 0.21–0.48), and having diabetes mellitus (OR = 0.59, 95 % CI, 0.36–0.96) correlated with better adherence.</p></div><div><h3>Conclusion</h3><p>A significant portion of participants failed to adhere to their prescribed chronic medications, influenced by multicomplex socioeconomic, psychological, and health-related factors. These findings demonstrate the need for culturally-tailored, pharmacist-led interventions to improve medication adherence and overall health outcomes.</p></div>\",\"PeriodicalId\":73003,\"journal\":{\"name\":\"Exploratory research in clinical and social pharmacy\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2024-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2667276624000933/pdfft?md5=1bec07e54ffb5c03f625b8612f1135e5&pid=1-s2.0-S2667276624000933-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Exploratory research in clinical and social pharmacy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2667276624000933\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Exploratory research in clinical and social pharmacy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667276624000933","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
Exploring the impact of subjective well-being on medication adherence: A cross-sectional study among individuals with multiple chronic diseases
Background
Medication non-adherence is a significant barrier to optimal treatment goals. The study explores the association between subjective well-being (SWB) and medication adherence among Lebanese individuals with multiple chronic diseases and identifies additional factors that may influence adherence in this population.
Methods
An exploratory, cross-sectional study was conducted for three months at six community pharmacies. Adherence was assessed using the Adherence to Refills and Medication Scale Arabic Lebanese Version (ARMS-A). The SWB was measured using the Arabic Scale of Happiness (ASH), Love of Life Scale (LLS), Arab Hope Scale (AHS), and Satisfaction with Life Scale (SWLS). Spearmen's Rho correlation analyzed the association between ARMS-A and SWB constructs. Binary logistic regression identified predictors of adherence among individuals with chronic diseases and on multiple chronic medications.
Results
Of 400 participants, 106 (26.5 %) with a 95 % CI, 0.22–0.31, were adherent. Lower medication adherence (reflected in higher ARMS-A scores) was associated with lower SWB (p = 0.01). Multivariate analysis showed that lower education (OR = 2.21, 95 % CI, 1.01–4.81), lack of a specific diet (OR = 1.64, 95 % CI, 1.01–2.69), and frequent hospital and/or emergency visits (OR = 3.29, 95 % CI, 1.75–6.17 for 2 visits; OR = 2.71, 95 % CI, 1.43–5.14 for ≥3 visits) significantly increased the odds of non-adherence to chronic treatment. However, higher income (OR = 0.06, 95 % CI, 0.01–0.38), healthcare provider occupation (OR = 0.42, 95 % CI, 0.21–0.48), and having diabetes mellitus (OR = 0.59, 95 % CI, 0.36–0.96) correlated with better adherence.
Conclusion
A significant portion of participants failed to adhere to their prescribed chronic medications, influenced by multicomplex socioeconomic, psychological, and health-related factors. These findings demonstrate the need for culturally-tailored, pharmacist-led interventions to improve medication adherence and overall health outcomes.
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