{"title":"Why do older adults choose private healthcare services? Evidence from an urban context in India using Andersen's Behavioral Model","authors":"Manik Halder, Nuruzzaman Kasemi","doi":"10.1016/j.aggp.2024.100118","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>This study investigates the factors influencing older adults’ preference for private healthcare services in an urban Indian setting, guided by Andersen's Behavioral Model. Focusing on Siliguri Municipal Corporation, West Bengal, it examines socio-demographic, economic, and health-related determinants that drive healthcare choices among the elderly.</div></div><div><h3>Methods</h3><div>Survey was conducted from April to September 2023, gathering primary data from 400 older adults. Binary logistic regression was applied to identify the predisposing, enabling, and need-based factors associated with private healthcare service utilization.</div></div><div><h3>Results</h3><div>The analysis revealed significant disparities in private healthcare utilization based on age, social group, wealth, working status, health insurance, BMI, and health conditions. Younger elderly adults (young-old) were more likely to opt for private healthcare compared to the oldest-old. Individuals from the General social group showed higher utilization than those from marginalized groups such as SC/ST. Married participants exhibited greater private healthcare utilization, while wealthy individuals were more inclined to access private services. However, insured individuals were less likely to utilize private healthcare, potentially reflecting better access to government services. Employment status also positively influenced private healthcare choices, with working individuals reporting higher utilization. Conversely, health conditions such as ADL limitations, underweight, and obesity were negatively associated with private healthcare use, reflecting unique health and accessibility challenges.</div></div><div><h3>Conclusion</h3><div>The findings highlight a complex interplay of socio-demographic, economic, and health factors influencing private healthcare choices among older adults in urban India. These insights call for targeted policies to address disparities and enhance equitable healthcare access, particularly for vulnerable groups.</div></div>","PeriodicalId":100119,"journal":{"name":"Archives of Gerontology and Geriatrics Plus","volume":"2 1","pages":"Article 100118"},"PeriodicalIF":0.0000,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of Gerontology and Geriatrics Plus","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2950307824001152","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
Background
This study investigates the factors influencing older adults’ preference for private healthcare services in an urban Indian setting, guided by Andersen's Behavioral Model. Focusing on Siliguri Municipal Corporation, West Bengal, it examines socio-demographic, economic, and health-related determinants that drive healthcare choices among the elderly.
Methods
Survey was conducted from April to September 2023, gathering primary data from 400 older adults. Binary logistic regression was applied to identify the predisposing, enabling, and need-based factors associated with private healthcare service utilization.
Results
The analysis revealed significant disparities in private healthcare utilization based on age, social group, wealth, working status, health insurance, BMI, and health conditions. Younger elderly adults (young-old) were more likely to opt for private healthcare compared to the oldest-old. Individuals from the General social group showed higher utilization than those from marginalized groups such as SC/ST. Married participants exhibited greater private healthcare utilization, while wealthy individuals were more inclined to access private services. However, insured individuals were less likely to utilize private healthcare, potentially reflecting better access to government services. Employment status also positively influenced private healthcare choices, with working individuals reporting higher utilization. Conversely, health conditions such as ADL limitations, underweight, and obesity were negatively associated with private healthcare use, reflecting unique health and accessibility challenges.
Conclusion
The findings highlight a complex interplay of socio-demographic, economic, and health factors influencing private healthcare choices among older adults in urban India. These insights call for targeted policies to address disparities and enhance equitable healthcare access, particularly for vulnerable groups.