Evidence map›Paper›PMID 36641453›Full record

ArticleBMC public health2023

Geographical variations and district-level factors associated with COVID-19 mortality in Indonesia: a nationwide ecological study.

Henry Surendra, Danarastri Paramita, Nora N Arista, Annisa I Putri, Akbar A Siregar, Evelyn Puspaningrum, Leni Rosylin, Dida Gardera, Montty Girianna, Iqbal R F Elyazar

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Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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3 · Its place in the literature

Who cites it

7 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

10 authors.

Henry SurendraOxford University Clinical Research Unit Indonesia, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia. henrysurendra.15@gmail.com.
Danarastri ParamitaKomite Pengendalian COVID-19 Dan Pemulihan Ekonomi Nasional, Jakarta, Indonesia.
Nora N AristaUnited Nations Development Program, Jakarta, Indonesia.
Annisa I PutriKomite Pengendalian COVID-19 Dan Pemulihan Ekonomi Nasional, Jakarta, Indonesia.
Akbar A SiregarKomite Pengendalian COVID-19 Dan Pemulihan Ekonomi Nasional, Jakarta, Indonesia.
Evelyn PuspaningrumOxford University Clinical Research Unit Indonesia, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia.
Leni RosylinKomite Pengendalian COVID-19 Dan Pemulihan Ekonomi Nasional, Jakarta, Indonesia.
Dida GarderaKomite Pengendalian COVID-19 Dan Pemulihan Ekonomi Nasional, Jakarta, Indonesia.
Montty GiriannaKomite Pengendalian COVID-19 Dan Pemulihan Ekonomi Nasional, Jakarta, Indonesia.
Iqbal R F ElyazarOxford University Clinical Research Unit Indonesia, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia.

Funding

Wellcome (UK) Africa Asia Programme Vietnam 106680/Z/14/Z
6 · The paper itself

Abstract

backgroundEnsuring health equity, especially for vulnerable populations in less developed settings with poor health system is essential for the current and future global health threats. This study examined geographical variations of COVID-19 mortality and its association with population health characteristics, health care capacity in responding pandemic, and socio-economic characteristics across 514 districts in Indonesia.

methodsThis nationwide ecological study included aggregated data of COVID-19 cases and deaths from all 514 districts in Indonesia, recorded in the National COVID-19 Task Force database, during the first two years of the epidemic, from 1 March 2020 to 27 February 2022. The dependent variable was district-level COVID-19 mortality rate per 100,000 populations. The independent variables include district-level COVID-19 incidence rate, population health, health care capacity, and socio-demographics data from government official sources. We used multivariable ordinal logistic regression to examine factors associated with higher mortality rate.

resultsOf total 5,539,333 reported COVID-19 cases, 148,034 (2.7%) died, and 5,391,299 (97.4%) were recovered. The district-level mortality rate ranged from 0 to 284 deaths per 100,000 populations. The top five districts with the highest mortality rate were Balikpapan (284 deaths per 100,000 populations), Semarang (263), Madiun (254), Magelang (250), and Yogyakarta (247). A higher COVID-19 incidence (coefficient 1.64, 95% CI 1.22 to 1.75), a higher proportion of ≥ 60 years old population (coefficient 0.26, 95% CI 0.06 to 0.46), a higher prevalence of diabetes mellitus (coefficient 0.60, 95% CI 0.37 to 0.84), a lower prevalence of obesity (coefficient -0.32, 95% CI -0.56 to -0.08), a lower number of nurses per population (coefficient -0.27, 95% CI -0.50 to -0.04), a higher number of midwives per population (coefficient 0.32, 95% CI 0.13 to 0.50), and a higher expenditure (coefficient 0.34, 95% CI 0.10 to 0.57) was associated with a higher COVID-19 mortality rate.

conclusionCOVID-19 mortality rate in Indonesia was highly heterogeneous and associated with higher COVID-19 incidence, different prevalence of pre-existing comorbidity, healthcare capacity in responding the pandemic, and socio-economic characteristics. This study revealed the need of controlling both COVID-19 and those known comorbidities, health capacity strengthening, and better resource allocation to ensure optimal health outcomes for vulnerable population.

Indexed as

COVID-19Diabetes MellitusComorbidityHumansIndonesiaMiddle AgedPandemicsCoronavirusCOVID-19EpidemiologyIndonesiaMortalityPandemic

Identifiers

PMID36641453
PMCPMC9840537

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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.