Evidence map›Paper›PMID 35897461›Full record

ArticleInternational journal of environmental research and public health2022

Multimorbidity and Complex Multimorbidity in India: Findings from the 2017-2018 Longitudinal Ageing Study in India (LASI).

Abhinav Sinha, Sushmita Kerketta, Shishirendu Ghosal, Srikanta Kanungo, John Tayu Lee, Sanghamitra Pati

Abstract read
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Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Abhinav SinhaICMR-Regional Medical Research Centre, Bhubaneswar 751023, India.ORCID 0000-0001-7702-3671
Sushmita KerkettaICMR-Regional Medical Research Centre, Bhubaneswar 751023, India.ORCID 0000-0001-6345-8965
Shishirendu GhosalICMR-Regional Medical Research Centre, Bhubaneswar 751023, India.ORCID 0000-0003-1833-3703
Srikanta KanungoICMR-Regional Medical Research Centre, Bhubaneswar 751023, India.
John Tayu LeeThe Nossal Institute for Global Health, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia.
Sanghamitra PatiICMR-Regional Medical Research Centre, Bhubaneswar 751023, India.ORCID 0000-0002-7717-5592

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complex multimorbidity refers to the co-occurrence of three or more chronic illnesses across >2 body systems, which may identify persons in need of additional medical support and treatment. There is a scarcity of evidence on the differences in patient outcomes between non-complex (≥2 conditions) and complex multimorbidity groups. We evaluated the prevalence and patient outcomes of complex multimorbidity and compared them to non-complex multimorbidity. We included 30,489 multimorbid individuals aged ≥45 years from the Longitudinal Ageing Study in India (LASI) from wave-1 conducted in 2017−2018. We employed a log link in generalised linear models (GLM) to identify possible risk factors presenting the adjusted prevalence−risk ratio (APRR) and adjusted prevalence−risk difference (APRD) with 95% confidence interval. The prevalence of complex multimorbidity was 34.5% among multimorbid individuals. Participants residing in urban areas [APRR: 1.10 (1.02, 1.20)], [APRD: 0.04 (0.006, 0.07)] were more likely to report complex multimorbidity. Participants with complex multimorbidity availed significantly higher inpatient department services and had higher expenditure as compared to the non-complex multimorbidity group. Our findings have major implications for healthcare systems in terms of meeting the requirements of people with complicated multimorbidity, as they have significantly higher inpatient health service utilisation, higher medical costs, and poorer self-rated health.

Indexed as

Health ExpendituresMultimorbidityAgingChronic DiseaseComorbidityHumansIndiaPrevalenceageingcomplex multimorbidityIndiaLASImultimorbidity

Identifiers

PMID35897461
PMCPMC9332385

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.