{"title":"2型糖尿病患者的疾病费用和相关因素:来自印度南部三级保健中心的调查结果","authors":"Jeby Jose Olickal , Palanivel Chinnakali , BS Suryanarayana , Ganesh Kumar Saya , Kalaiselvan Ganapathy , DKS Subrahmanyam","doi":"10.1016/j.hlpt.2023.100807","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><p>Our aim was to estimate the cost of illness (COI) from the patient's perspective among individuals with type 2 diabetes (PWDs) attending a public tertiary care center in southern India.</p></div><div><h3>Methods</h3><p>This cross-sectional analytical study included PWDs on treatment for at least one year. Interviews captured direct medical costs (hospitalization, tests, medications), direct non-medical costs (meals, travel), and indirect costs (wage loss). Median regression analyses examined factors associated with total COI.</p></div><div><h3>Results</h3><p>Of total 1002 PWDs included<strong>,</strong> the mean (SD) age was 56 (12) years. Majority were males and from rural areas. One-third had diabetes for more than ten years, half were on insulin therapy, and more than half had comorbidities. Median (IQR) reported household income was US$637 (US$318–US$1115)/year. The Median (IQR) annual COI was US$39 (US$20-US$67), of which 73% was direct costs with a median of US$28. Majority of the participants (<em>n</em>=818, 81.6%) spent on laboratory investigations as direct medical costs and travel (<em>n</em>=1000, 99.8%) as direct non-medical costs. Travel costs represented the largest share of total COI (41%), followed by wage loss. Median annual COI was higher for males, salaried PWDs, and PWDs on insulin.</p></div><div><h3>Conclusions</h3><p>Our findings highlight that PWDs attending a public tertiary care center bear significant out-of-pocket expenses for diabetes care, primarily due to direct costs. Particularly, travel costs were identified as the most substantial component of the total COI.</p></div>","PeriodicalId":48672,"journal":{"name":"Health Policy and Technology","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cost-of-illness and associated factors among persons with type 2 diabetes: Findings from a tertiary care center in South India\",\"authors\":\"Jeby Jose Olickal , Palanivel Chinnakali , BS Suryanarayana , Ganesh Kumar Saya , Kalaiselvan Ganapathy , DKS Subrahmanyam\",\"doi\":\"10.1016/j.hlpt.2023.100807\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><p>Our aim was to estimate the cost of illness (COI) from the patient's perspective among individuals with type 2 diabetes (PWDs) attending a public tertiary care center in southern India.</p></div><div><h3>Methods</h3><p>This cross-sectional analytical study included PWDs on treatment for at least one year. Interviews captured direct medical costs (hospitalization, tests, medications), direct non-medical costs (meals, travel), and indirect costs (wage loss). Median regression analyses examined factors associated with total COI.</p></div><div><h3>Results</h3><p>Of total 1002 PWDs included<strong>,</strong> the mean (SD) age was 56 (12) years. Majority were males and from rural areas. One-third had diabetes for more than ten years, half were on insulin therapy, and more than half had comorbidities. Median (IQR) reported household income was US$637 (US$318–US$1115)/year. The Median (IQR) annual COI was US$39 (US$20-US$67), of which 73% was direct costs with a median of US$28. Majority of the participants (<em>n</em>=818, 81.6%) spent on laboratory investigations as direct medical costs and travel (<em>n</em>=1000, 99.8%) as direct non-medical costs. Travel costs represented the largest share of total COI (41%), followed by wage loss. Median annual COI was higher for males, salaried PWDs, and PWDs on insulin.</p></div><div><h3>Conclusions</h3><p>Our findings highlight that PWDs attending a public tertiary care center bear significant out-of-pocket expenses for diabetes care, primarily due to direct costs. Particularly, travel costs were identified as the most substantial component of the total COI.</p></div>\",\"PeriodicalId\":48672,\"journal\":{\"name\":\"Health Policy and Technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2023-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Health Policy and Technology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2211883723000837\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HEALTH POLICY & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Policy and Technology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2211883723000837","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
Cost-of-illness and associated factors among persons with type 2 diabetes: Findings from a tertiary care center in South India
Objective
Our aim was to estimate the cost of illness (COI) from the patient's perspective among individuals with type 2 diabetes (PWDs) attending a public tertiary care center in southern India.
Methods
This cross-sectional analytical study included PWDs on treatment for at least one year. Interviews captured direct medical costs (hospitalization, tests, medications), direct non-medical costs (meals, travel), and indirect costs (wage loss). Median regression analyses examined factors associated with total COI.
Results
Of total 1002 PWDs included, the mean (SD) age was 56 (12) years. Majority were males and from rural areas. One-third had diabetes for more than ten years, half were on insulin therapy, and more than half had comorbidities. Median (IQR) reported household income was US$637 (US$318–US$1115)/year. The Median (IQR) annual COI was US$39 (US$20-US$67), of which 73% was direct costs with a median of US$28. Majority of the participants (n=818, 81.6%) spent on laboratory investigations as direct medical costs and travel (n=1000, 99.8%) as direct non-medical costs. Travel costs represented the largest share of total COI (41%), followed by wage loss. Median annual COI was higher for males, salaried PWDs, and PWDs on insulin.
Conclusions
Our findings highlight that PWDs attending a public tertiary care center bear significant out-of-pocket expenses for diabetes care, primarily due to direct costs. Particularly, travel costs were identified as the most substantial component of the total COI.
期刊介绍:
Health Policy and Technology (HPT), is the official journal of the Fellowship of Postgraduate Medicine (FPM), a cross-disciplinary journal, which focuses on past, present and future health policy and the role of technology in clinical and non-clinical national and international health environments.
HPT provides a further excellent way for the FPM to continue to make important national and international contributions to development of policy and practice within medicine and related disciplines. The aim of HPT is to publish relevant, timely and accessible articles and commentaries to support policy-makers, health professionals, health technology providers, patient groups and academia interested in health policy and technology.
Topics covered by HPT will include:
- Health technology, including drug discovery, diagnostics, medicines, devices, therapeutic delivery and eHealth systems
- Cross-national comparisons on health policy using evidence-based approaches
- National studies on health policy to determine the outcomes of technology-driven initiatives
- Cross-border eHealth including health tourism
- The digital divide in mobility, access and affordability of healthcare
- Health technology assessment (HTA) methods and tools for evaluating the effectiveness of clinical and non-clinical health technologies
- Health and eHealth indicators and benchmarks (measure/metrics) for understanding the adoption and diffusion of health technologies
- Health and eHealth models and frameworks to support policy-makers and other stakeholders in decision-making
- Stakeholder engagement with health technologies (clinical and patient/citizen buy-in)
- Regulation and health economics