Evidence map›Paper›PMID 39697299›Full record

ArticleFrontiers in public health2024

Non-communicable diseases related multimorbidity, catastrophic health expenditure, and associated factors in Ernakulam district.

Sarah Joy, Aswathy Sreedevi, Renjitha Bhaskaran

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

3 authors.

Sarah JoyDepartment of Community Medicine, Amrita Institute of Medical Sciences Amrita Vishwa Vidyapeetham, Kochi, Kerala, India.
Aswathy SreedeviDepartment of Community Medicine, Amrita Institute of Medical Sciences Amrita Vishwa Vidyapeetham, Kochi, Kerala, India.
Renjitha BhaskaranDepartment of Biostatistics, Amrita Institute of Medical Sciences Amrita Vishwa Vidyapeetham, Kochi, Kerala, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Multimorbidity, the coexistence of two or more chronic conditions in an individual, has emerged as a significant public health challenge with profound economic implications, exerting substantial strain on healthcare systems and economies worldwide. This study aimed to estimate the prevalence of non-communicable diseases (NCD) related multimorbidity, catastrophic health expenditure (CHE), and associated factors among adults aged ≥40 years in Ernakulam district. Methods: A community-based cross-sectional study was conducted among 420 individuals aged ≥40 years using population probability sampling. The tools used were the Multimorbidity Assessment Questionnaire for Primary Care (MAQ-PC), the WHO STEPS Questionnaire, and the Patient Health Questionnaire-9 (PHQ-9), which assessed non-communicable diseases, diet, physical activity, smoking, alcohol consumption, and depression. A pretested semi-structured questionnaire collected data on health and household expenditures. Multimorbidity was defined as having two or more self-reported NCDs, and CHE was identified when health costs exceeded 10% of a household's expenditure in the past month. Multivariable logistic regression was performed to find independent predictors of multimorbidity and CHE. Results: The mean age of participants was 60.02 ± 10 years. The prevalence of NCD multimorbidity was 42.6% (95% CI: 37.9-47.3%). The most common dyad was diabetes and hypertension (24.5, 95% CI: 20.4-28.6%). Higher odds of multimorbidity were observed in those aged ≥60 years (aOR = 3.03, 95% CI: 1.95-4.73), unmarried/widowed/divorced (aOR = 2.15, 95% CI: 1.28-3.63), unemployed (aOR = 1.81, 95% CI: 1.14-2.87), and tobacco users (aOR = 3.72, 95% CI: 1.85-7.48). Approximately 32.4% (95% CI: 25.5-39.3%) of households incurred catastrophic health expenditure (CHE) by treating adults with multimorbidity. Age ≥ 60 (aOR = 2.39, 95% CI: 1.99-5.77) and use of outpatient services (aOR = 4.09, 95% CI: 2.01-8.32) were independently associated with higher odds of CHE. IP services and each additional morbidity add ₹22,082.37 ( Conclusion: The high prevalence of multimorbidity and associated CHE among individuals over 60 years highlights the urgent need for the National Programme for the Prevention and Control of Non-Communicable Diseases to prioritise multimorbidity and its management, especially above 60 years within this age group.

Indexed as

Health ExpendituresMultimorbidityNoncommunicable DiseasesAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceSurveys and Questionnairescatastrophichealth expenditureKeralamultimorbiditynon-communicable diseases

Identifiers

PMID39697299
PMCPMC11652477

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Registered trials

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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.