Sociodemographic and geographic inequalities in diagnosis and treatment of older adults' chronic conditions in India: a nationally representative population-based study

被引:3
|
作者
Mohanty, Sanjay K. [1 ]
Abhilasha [2 ]
Mishra, Radhe Shyam [2 ]
Upadhyay, Ashish Kumar [3 ]
O'Donnell, Owen [4 ]
Maurer, Jurgen [5 ]
机构
[1] Int Inst Populat Sci, Dept Populat & Dev, Govandi Stn Rd, Mumbai, India
[2] Int Inst Populat Sci, R4D India Project, Mumbai, India
[3] Int Inst Populat Sci, R4D India Project, Mumbai, India
[4] Erasmus Univ, Erasmus Sch Econ, Erasmus Sch Hlth Policy & Management, Prof Appl Econ, Rotterdam, Netherlands
[5] Univ Lausanne, Inst Hlth Econ & Management, Dept Econ, Lausanne, Switzerland
关键词
Chronic condition; Non-communicable disease; Treatment; Inequality; LASI; India; HEALTH-CARE; HYPERTENSION; MEDICATION; DISEASE; PREVALENCE; ADHERENCE; AWARENESS;
D O I
10.1186/s12913-023-09318-6
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
ContextExpeditious diagnosis and treatment of chronic conditions are critical to control the burden of non-communicable disease in low- and middle-income countries. We aimed to estimate sociodemographic and geographic inequalities in diagnosis and treatment of chronic conditions among adults aged 45 + in India.MethodsWe used 2017-18 nationally representative data to estimate prevalence of chronic conditions (hypertension, diabetes, lung disease, heart disease, stroke, arthritis, cholesterol, and neurological) reported as diagnosed and percentages of diagnosed conditions that were untreated by sociodemographic characteristics and state. We used concentration indices to measure socioeconomic inequalities in diagnosis and lack of treatment. Fully adjusted inequalities were estimated with multivariable probit and fractional regression models.FindingsAbout 46.1% (95% CI: 44.9 to 47.3) of adults aged 45 + reported a diagnosis of at least one chronic condition and 27.5% (95% CI: 26.2 to 28.7) of the reported conditions were untreated. The percentage untreated was highest for neurological conditions (53.2%; 95% CI: 50.1 to 59.6) and lowest for diabetes (10.1%; 95% CI: 8.4 to 11.5). Age- and sex-adjusted prevalence of any diagnosed condition was highest in the richest quartile (55.3%; 95% CI: 53.3 to 57.3) and lowest in the poorest (37.7%: 95% CI: 36.1 to 39.3). Conditional on reported diagnosis, the percentage of conditions untreated was highest in the poorest quartile (34.4%: 95% CI: 32.3 to 36.5) and lowest in the richest (21.1%: 95% CI: 19.2 to 23.1). Concentration indices confirmed these patterns. Multivariable models showed that the percentage of untreated conditions was 6.0 points higher (95% CI: 3.3 to 8.6) in the poorest quartile than in the richest. Between state variations in the prevalence of diagnosed conditions and their treatment were large.ConclusionsEnsuring more equitable treatment of chronic conditions in India requires improved access for poorer, less educated, and rural older people who often remain untreated even once diagnosed.
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页数:15
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