Evidence map›Paper›PMID 39507660›Full record

ArticleFrontiers in public health2024

Understanding the association of disability with multimorbidity, and healthcare utilization in India's older adult population: insights from cross-sectional evidence of SAGE-2.

Ritik Agrawal, Abhinav Sinha, Jogesh Murmu, Srikanta Kanungo, Sanghamitra Pati

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

9 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

5 authors.

Ritik Agrawal *ICMR-Regional Medical Research Centre, Bhubaneswar, India.
Abhinav Sinha *ICMR-Regional Medical Research Centre, Bhubaneswar, India.
Jogesh MurmuICMR-Regional Medical Research Centre, Bhubaneswar, India.
Srikanta KanungoICMR-Regional Medical Research Centre, Bhubaneswar, India.
Sanghamitra PatiICMR-Regional Medical Research Centre, Bhubaneswar, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Like other low-and middle-income countries, India is undergoing a demographic and epidemiologic shift that has led to a significant rise in the burden of non-communicable diseases (NCDs). Evidence suggests that chronic illnesses and disability are linked but limited studies have explored the association between disability and multimorbidity (simultaneous presence of two or more chronic conditions). Since the magnitude of multimorbidity is becoming a norm, it is prudent to understand the association between these two. We aimed to estimate the association between disability and multimorbidity and assess their healthcare utilization among older adults in India using a nationally representative data. Methods: We employed data from the second round of World Health Organization's Study on Global AGEing and adult health (SAGE) conducted in 2015. SAGE is a nation-wide survey conducted among a representative sample of older adults aged ≥50 years, a total of 7,118 participants aged ≥50 years were included in the analysis. The main outcome of interest was disability for which we used WHODAS 2.0 scoring scale which ranges from 0 to 100. Descriptive statistics such as frequency and proportion were used to report the characteristics of study population, and prevalence. We performed the univariable followed by multiple ordinal logistic regression to assess the association between disability and multimorbidity, reported as adjusted odds ratio (AOR) with 95% confidence interval (CI) and Results: The overall prevalence of disability was found to be 89.0% (95% CI: 88.3-89.8) while that of multimorbidity was 39.7% (95% CI: 35.6-37.8). Most of the participants had moderate followed by mild disability. Hypertension (32.7%) was found to be the most prevalent chronic condition followed by cataract (21.3%). The chances of having disability among multimorbid individuals was AOR: 1.40 (95% CI: 1.13-1.75). Participants having disability and multimorbidity mostly visited private sector followed by public healthcare facilities. Conclusion: We observed that nine out of every 10 individuals had some kind of disability in India. We observed multimorbidity to be associated with disability that signifies the need for including disabilities as a part of NCD program as these factors could be bi-directional. Longitudinal studies for disability will be helpful to better understand and address the growing needs of these individuals.

Indexed as

MultimorbidityPatient Acceptance of Health CarePersons with DisabilitiesAgedAged, 80 and overChronic DiseaseCross-Sectional StudiesFemaleHumansIndiaMaleMiddle AgedPrevalencedisabilityhealthcare utilizationIndiamultimorbiditySAGEWHODAS 2.0

Identifiers

PMID39507660
PMCPMC11537888

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