Evidence map›Paper›PMID 33597135›Full record

ArticleBMJ open2021

Impact of non-communicable disease multimorbidity on health service use, catastrophic health expenditure and productivity loss in Indonesia: a population-based panel data analysis study.

Tiara Marthias, Kanya Anindya, Nawi Ng, Barbara McPake, Rifat Atun, Hafiz Arfyanto, Emily Sg Hulse, Yang Zhao, Hafizah Jusril, Tianxin Pan and 2 more

Abstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 5 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

41 citing papers in PubMed, 5 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

12 authors.

Tiara MarthiasNossal Institute for Global Health, The University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0001-8226-9473
Kanya AnindyaNossal Institute for Global Health, The University of Melbourne, Melbourne, Victoria, Australia kanindya@student.unimelb.edu.au.ORCID 0000-0001-6832-0412
Nawi NgSchool of Public Health and Community Medicine, Institution of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Barbara McPakeNossal Institute for Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
Rifat AtunDepartment of Global Health and Population, Harvard T H Chan School of Public Health, Harvard University, Boston, Massachusetts, USA.
Hafiz ArfyantoSMERU Research Institute, Jakarta, Indonesia.
Emily Sg HulseCentre for Health Policy, School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
Yang ZhaoThe George Institute for Global Health, Peking University Health Science Center, Beijing, China.
Hafizah JusrilCenter for Health Research, Universitas Indonesia, Depok, Indonesia.ORCID 0000-0002-4748-8061
Tianxin PanCentre for Health Policy, School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
Marie IshidaNossal Institute for Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
John Tayu LeeNossal Institute for Global Health, The University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0002-1551-4923

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo examine non-communicable diseases (NCDs) multimorbidity level and its relation to households' socioeconomic characteristics, health service use, catastrophic health expenditures and productivity loss.

designThis study used panel data of the Indonesian Family Life Survey conducted in 2007 (Wave 4) and 2014 (Wave 5).

settingThe original sampling frame was based on 13 out of 27 provinces in 1993, representing 83% of the Indonesian population.

participantsWe included respondents aged 50 years and above in 2007, excluding those who did not participate in both Waves 4 and 5. The total number of participants in this study are 3678 respondents. PRIMARY OUTCOME MEASURES: We examined three main outcomes; health service use (outpatient and inpatient care), financial burden (catastrophic health expenditure) and productivity loss (labour participation, days primary activity missed, days confined in bed). We applied multilevel mixed-effects regression models to assess the associations between NCD multimorbidity and outcome variables,

resultsWomen were more likely to have NCD multimorbidity than men and the prevalence of NCD multimorbidity increased with higher socioeconomic status. NCD multimorbidity was associated with a higher number of outpatient visits (compared with those without NCD, incidence rate ratio (IRR) 4.25, 95% CI 3.33 to 5.42 for individuals with >3 NCDs) and inpatient visits (IRR 3.68, 95% CI 2.21 to 6.12 for individuals with >3 NCDs). NCD multimorbidity was also associated with a greater likelihood of experiencing catastrophic health expenditure (for >3 NCDs, adjusted OR (aOR) 1.69, 95% CI 1.02 to 2.81) and lower participation in the labour force (aOR 0.23, 95% CI 0.16 to 0.33) compared with no NCD.

conclusionsNCD multimorbidity is associated with substantial direct and indirect costs to individuals, households and the wider society. Our study highlights the importance of preparing health systems for addressing the burden of multimorbidity in low-income and middle-income countries.

Indexed as

Health ExpendituresNoncommunicable DiseasesCross-Sectional StudiesData AnalysisFemaleHealth ServicesHumansIndonesiaMaleMiddle AgedMultimorbidityhealth economicshealth policypublic health

Identifiers

PMID33597135
PMCPMC7893673

What OpenQuestion holds

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LicenceCC BY-NC
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.