Evidence map›Paper›PMID 29961639›Full record

ArticleLancet (London, England)2018

On the road to universal health care in Indonesia, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016.

Nafsiah Mboi, Indra Murty Surbakti, Indang Trihandini, Iqbal Elyazar, Karen Houston Smith, Pungkas Bahjuri Ali, Soewarta Kosen, Kristin Flemons, Sarah E Ray, Jackie Cao and 14 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Lancet (London, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers.

0numbers the graph read from it
0cells of the map it votes in
97citing 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

97 citing papers in PubMed.

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37 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

24 authors.

Nafsiah MboiCentre for Strategic and International Studies, Jakarta, Indonesia; National Commission for Tobacco Control, Jakarta, Indonesia.
Indra Murty SurbaktiCentral Bureau of Statistics, Jakarta, Indonesia.
Indang TrihandiniFaculty of Public Health, University of Indonesia, Depok, Indonesia.
Iqbal ElyazarEijkman-Oxford Clinical Research Unit, Jakarta, Indonesia.
Karen Houston SmithIndependent consultant, Jakarta, Indonesia.
Pungkas Bahjuri AliNational Development Planning Agency (BAPPENAS), Jakarta, Indonesia.
Soewarta KosenIndependent consultant, Jakarta, Indonesia.
Kristin FlemonsDepartment of Anthropology, McGill University, Montreal, QC, Canada; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Sarah E RayInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Jackie CaoInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Scott D GlennInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Molly K Miller-PetrieInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Meghan D MooneyInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Jeffrey L RiedInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Dina Nur Anggraini NingrumDepartment of Public Health, Universitas Negeri Semarang, Semarang City, Indonesia; Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei City, Taiwan.
Fachmi IdrisSriwijaya University, Palembang, Indonesia; Social Security Administering Body for Health, Jakarta, Indonesia.
Kemal N SiregarFaculty of Public Health, University of Indonesia, Depok, Indonesia.
Pandu HarimurtiWorld Bank, Jakarta, Indonesia.
Robert S BernsteinDepartment of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA; Department of Global Health, College of Public Health, University of South Florida, Tampa, FL, USA.
Tikki PangestuLee Kuan Yew School of Public Policy, National University of Singapore, Singapore.
Yuwono SidhartaField Epidemiology Training Program Indonesia, Jakarta, Indonesia.
Mohsen NaghaviInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Christopher J L MurrayInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Simon I HayInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA; Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK. Electronic address: sihay@uw.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs Indonesia moves to provide health coverage for all citizens, understanding patterns of morbidity and mortality is important to allocate resources and address inequality. The Global Burden of Disease 2016 study (GBD 2016) estimates sources of early death and disability, which can inform policies to improve health care.

methodsWe used GBD 2016 results for cause-specific deaths, years of life lost, years lived with disability, disability-adjusted life-years (DALYs), life expectancy at birth, healthy life expectancy, and risk factors for 333 causes in Indonesia and in seven comparator countries. Estimates were produced by location, year, age, and sex using methods outlined in GBD 2016. Using the Socio-demographic Index, we generated expected values for each metric and compared these against observed results.

findingsIn Indonesia between 1990 and 2016, life expectancy increased by 8·0 years (95% uncertainty interval [UI] 7·3-8·8) to 71·7 years (71·0-72·3): the increase was 7·4 years (6·4-8·6) for males and 8·7 years (7·8-9·5) for females. Total DALYs due to communicable, maternal, neonatal, and nutritional causes decreased by 58·6% (95% UI 55·6-61·6), from 43·8 million (95% UI 41·4-46·5) to 18·1 million (16·8-19·6), whereas total DALYs from non-communicable diseases rose. DALYs due to injuries decreased, both in crude rates and in age-standardised rates. The three leading causes of DALYs in 2016 were ischaemic heart disease, cerebrovascular disease, and diabetes. Dietary risks were a leading contributor to the DALY burden, accounting for 13·6% (11·8-15·4) of DALYs in 2016.

interpretationOver the past 27 years, health across many indicators has improved in Indonesia. Improvements are partly offset by rising deaths and a growing burden of non-communicable diseases. To maintain and increase health gains, further work is needed to identify successful interventions and improve health equity.

fundingThe Bill & Melinda Gates Foundation.

Indexed as

Global Burden of DiseaseUniversal Health InsuranceAgedAged, 80 and overChronic DiseaseCommunicable DiseasesDelivery of Health CareFemaleGlobal HealthHealth TransitionHumansIndonesiaInfantInfant, NewbornLife ExpectancyLongevity

Identifiers

PMID29961639
PMCPMC6099123

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.