Multimorbidity Among Urban Poor in India

Findings From Lasi, Wave-1

Bibliographic Data

ID22066563
AuthorsAbhinav Sinha (0000-0001-7702-3671, Regional Medical Research Centre), Sushmita Kerketta (0000-0001-6345-8965, Regional Medical Research Centre), Shishirendu Ghosal (0000-0003-1833-3703, Regional Medical Research Centre), Srikanta Kanungo (0000-0001-5647-0122, Regional Medical Research Centre, corresponding author), Sanghamitra Pati (0000-0002-7717-5592, Regional Medical Research Centre, corresponding author)
Year2022
Volume10
Pages881967-881967
Publication date2022-06-02
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2022.881967
PMID35719649
OpenAlexW4281663622
LanguageEN
Citations received14
References cited36

Background: Multimorbidity has become a norm in low-and middle-income countries such as India requiring notable health system improvements to combat. Urban population is a heterogeneous group where poor are at a risk of facing inequity in accessing healthcare services which can jeopardize our efforts to attain universal health coverage (UHC). We aimed to estimate the prevalence, assess correlates and patterns of multimorbidity among urban poor. Further, we assessed the outcomes of multimorbidity such as healthcare utilization, expenditure and self-rated health. Methods: Longitudinal Aging Study in India (LASI), wave-1 is a nationally representative survey conducted amongst participants aged ≥45 years in 2017-18. We included 9,327 participants residing in urban areas, categorized as poor based on monthly per capita expenditure. Descriptive statistics computed prevalence with 95% uncertainty interval. Multivariable logistic regression was executed to assess the association between multimorbidity and various correlates, expressed as adjusted odds ratio. An ordinal regression model was run between self-rated health and number of chronic conditions. Results: The prevalence of multimorbidity was 45.26% among the urban poor. Hypertension and oral morbidities were the most commonly observed dyad. Respondents who were poorer [AOR: 1.27 (1.06-1.51)] had higher chances of having multimorbidity than the poorest. Respondents with a health insurance [AOR: 1.40 (1.14-1.70)] had a higher risk of having multimorbidity. In-patient admission was significantly higher among participants having multimorbidity. Out of pocket expenditure increased while self-rated health deteriorated with each additional morbid condition. Conclusion: Multimorbidity is found to be increasingly prevalent among urban poor and individuals having health insurance which demonstrates the need to expand healthcare insurance schemes such as Ayushman Bharat for urban poor to achieve UHC

Descriptive statistics · Environmental health · Health care · Logistic regression · Multimorbidity · Odds ratio · Ordered logit · Ordinal regression · Population · Chronic Disease Management Strategies · Demography · Global Health and Epidemiology · Healthcare Systems and Reforms · Medicine

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