Evidence map›Paper›PMID 35462842›Full record

ArticleFrontiers in public health2022

Prevalence, Associated Factors, and Health Expenditures of Noncommunicable Disease Multimorbidity-Findings From Gorakhpur Health and Demographic Surveillance System.

Mahendra M Reddy, Kamran Zaman, Rajaram Yadav, Priyanka Yadav, Kaushik Kumar, Rajni Kant

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. 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

6 authors.

Mahendra M ReddyIndian Council of Medical Research-Regional Medical Research Centre (ICMR-RMRC), Gorakhpur, India.
Kamran ZamanIndian Council of Medical Research-Regional Medical Research Centre (ICMR-RMRC), Gorakhpur, India.
Rajaram YadavIndian Council of Medical Research-Regional Medical Research Centre (ICMR-RMRC), Gorakhpur, India.
Priyanka YadavIndian Council of Medical Research-Regional Medical Research Centre (ICMR-RMRC), Gorakhpur, India.
Kaushik KumarIndian Council of Medical Research-Regional Medical Research Centre (ICMR-RMRC), Gorakhpur, India.
Rajni KantIndian Council of Medical Research-Regional Medical Research Centre (ICMR-RMRC), Gorakhpur, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Noncommunicable disease (NCD) multimorbidity throws a unique challenge to healthcare systems globally in terms of not only management of disease, but also familial, social, and economic implications associated with it. Objective: To assess the prevalence of NCD multimorbidity and its associated risk factors along with health expenditures among adults (≥18 years) living in a rural area. Methods: A secondary data analysis of the first-round survey done as part of the Gorakhpur Health and Demographic Surveillance Site (GHDSS) was done. Information related to self-reported morbidity and other variables related to sociodemographics and out-of-pocket expenditure (OOPE) was captured using a pretested questionnaire. Multivariable cluster adjusted binomial regression analysis was done to identify factors associated with multimorbidity. Results: The overall prevalence of NCD multimorbidity was found to be 1.8% (95% CI: 1.7-1.9%). The prevalence of NCD multimorbidity was highest among elderly (≥60 years) [6.0% (95% CI: 5.5-6.5%)] and among women [2.4% (95% CI: 2.3-2.6%)]. Sociodemographic factors, such as age, gender, occupation, education, marital status, religion, caste, and household wealth, were all found to be independently associated with NCD multimorbidity. The median annual OOPE was found to be significantly higher among those with NCD multimorbidity (INR 20,000) compared with those with no NCD (INR 5,000) or having only one NCD (INR 8,000). Conclusion: Among the adults in GHDSS, about 13 in every 100 were suffering from at least one NCD and around two in 100 were having NCD multimorbidity. Those with NCD multimorbidity spent almost four times higher annual OOPE compared with those without NCDs.

Indexed as

MultimorbidityNoncommunicable DiseasesAdultAgedCross-Sectional StudiesFemaleHealth ExpendituresHumansMalePrevalenceHDSShealth expendituresIndiamultimorbiditynoncommunicable diseases

Identifiers

PMID35462842
PMCPMC9019118

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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.