Evidence map›Paper›PMID 26024877›Full record

ArticleInternational journal for equity in health2015

Multimorbidity and its social determinants among older people in southern provinces, Vietnam.

Ninh Thi Ha, Ninh Hoang Le, Vishnu Khanal, Rachael Moorin

Abstract read
In one paragraph

Article in International journal for equity in health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
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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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

4 authors.

Ninh Thi HaInstitute of Public Health, 159 Hung Phu Street, District 8, Ho Chi Minh City, Vietnam. ninh.ha05@gmail.com.
Ninh Hoang LeInstitute of Public Health, 159 Hung Phu Street, District 8, Ho Chi Minh City, Vietnam. lehoangninh@iph.org.vn.
Vishnu KhanalSchool of Public Health, Curtin University, Bentley, Western Australia, Australia. khanal.vishnu@gmail.com.
Rachael MoorinSchool of Public Health, Curtin University, Bentley, Western Australia, Australia. R.moorin@curtin.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDeveloping countries are poorly equipped for health issues related to ageing populations making multimorbidity challenging. As in Vietnam the focus tends to be on single conditions. Hence little is known about burden of multimorbidity. This study aimed to examine the prevalence and the determinants of multimorbidity among older people in Southern Vietnam.

methodsA cross-sectional study was conducted in two provinces of Southern Vietnam with a sample of 2400 people aged 60 years and older. The presence of chronic disease was ascertained by medical examination done by physicians at commune health stations. Information on social and demographic factors was collected using structured questionnaire. Univariate and multivariable logistic regression analyses were used to examine the factors associated with multimorbidity.

resultsNearly 40 % of older people had multimorbidity. Currently not working, and healthcare utilisation were associated with higher prevalence of multimorbidity. Living in urban areas and being literate were associated with lower prevalence of multimorbidity.

conclusionThe study found a high burden of multimorbidity among illiterate, especially those living in rural areas. This highlights the need for targeted community based programs aimed at reducing the burden of chronic disease.

Indexed as

ComorbiditySocial Determinants of HealthAgedAged, 80 and overChronic DiseaseCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesVietnam

Identifiers

PMID26024877
PMCPMC4459670

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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.