Evidence map›Paper›PMID 25274447›Full record

ArticleBMC health services research2014

Non communicable disease multimorbidity and associated health care utilization and expenditures in India: cross-sectional study.

Sanghamitra Pati, Sutapa Agrawal, Subhashisa Swain, John Tayu Lee, Sukumar Vellakkal, Mohammad Akhtar Hussain, Christopher Millett

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed, 8 pooled it
4.5field-weighted citation impact, top 5% of its field
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

110 citing papers in PubMed, 8 syntheses or guidelines pooled it, 211 citations in OpenAlex.

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  14. Out of Pocket Expenditure among Critical Care Insured Patients Admitted in a Tertiary Care Hospital in Coastal Karnataka, India: A Cross-Sectional Study.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2025
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50 more citing papers are in PubMed but not listed here.

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

7 authors at 3 institutions in 3 countries.

Sanghamitra PatiIndian Institute of Public Health-Bhubaneswar, Public Health Foundation of India, 2nd and 3rd Floor, JSS Software Technology Park, E1/1, Infocity Road, Patia, Bhubaneswar, Odisha, India. sanghamitra.pati@iiphb.org.
Sutapa Agrawal
Subhashisa Swain
John Tayu Lee
Sukumar Vellakkal
Mohammad Akhtar Hussain
Christopher Millett
Public Health Foundation of India · INImperial College London · GBUniversity of Queensland · AU

Funding

Wellcome Trust 084674Wellcome Trust 084754
6 · The paper itself

Abstract

backgroundNon communicable disease (NCD) multimorbidity is increasingly becoming common in high income settings but little is known about its epidemiology and associated impacts on citizens and health systems in low and middle-income countries (LMICs). We aim to examine the socio-demographic distribution of NCD multimorbidity (≥2 diseases) and its implications for health care utilization and out-of-pocket expenditure (OOPE) in India.

methodsWe analyzed cross-sectional nationally representative data from the World Health Organisaion Study on Global Ageing and Adult Health (WHO-SAGE), conducted in India during 2007. Multiple logistic regression was used to determine socio-demographic predictors of self-reported multimorbidity. A two part model was used to assess the relationship between number of NCDs and health care utilization including OOPE.

results28.5% of the sample population had at least one NCD and 8.9% had NCD multimorbidity. The prevalence of multimorbidity increased from 1.3% in 18-29 year olds to 30.6% in those aged 70 years and above. Mean outpatient visits in the preceding 12 months increased from 2.2 to 6.2 and the percentage reporting an overnight hospital stay in the past 3 years increased from 9% to 29% in those with no NCD and ≥2 NCDs respectively (p <0.001).OOPE incurred during the last outpatient visit increased from INR 272.1 (95% CI = 249.0-295.2) in respondents with no NCDs to INR 454.1 (95% CI = 407.8-500.4) in respondents with ≥2 NCDs. However, we did not find an increase in OOPE during the last inpatient visit with number of NCDs (7865.9 INR for those with zero NCDs compared with 7301.3 for those with ≥2 NCDs). For both outpatient and inpatient OOPE, medicine constitutes the largest proportion of spending (70.7% for outpatient, 53.6% for inpatient visit), followed by spending for health care provider (14.0% for outpatient, 12.2% for inpatient visit).

conclusionNCD multimorbidity is common in the Indian adult population and is associated with substantially higher healthcare utilization and OOPE. Strategies to address the growing burden of NCDs in LMICs should include efforts to improve the management of patients with multimorbidity and reduce associated financial burden to individuals and households.

Indexed as

ComorbidityHealth ExpendituresAdolescentAdultAgedChronic DiseaseCross-Sectional StudiesFemaleFinancing, PersonalHealth ServicesHumansIndiaLogistic ModelsMaleMiddle AgedSocioeconomic Factors

Identifiers

PMID25274447
PMCPMC4283077
OpenAlexW1986556976

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.