Evidence map›Paper›PMID 34330760›Full record

ArticleBMJ global health2021

Health expenditures by services and providers for 195 countries, 2000-2017.

Matthew T Schneider, Angela Y Chang, Abigail Chapin, Catherine S Chen, Sawyer W Crosby, Anton C Harle, Golsum Tsakalos, Bianca S Zlavog, Joseph L Dieleman

Abstract read
In one paragraph

Article in BMJ global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. The Future Hospital in Global Health Systems: The Future Hospital Within the Healthcare System.The International journal of health planning and management · 2025
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  4. The Future Hospital in Global Health Systems: The Future Hospital Within the Healthcare System.The International journal of health planning and management · 2025
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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

9 authors.

Matthew T SchneiderInstitute for Health Metrics and Evaluation, Seattle, Washington, USA mtschneider13@gmail.com.
Angela Y ChangDanish Institute for Advanced Study, Copenhagen, Denmark.
Abigail ChapinInstitute for Health Metrics and Evaluation, Seattle, Washington, USA.
Catherine S ChenInstitute for Health Metrics and Evaluation, Seattle, Washington, USA.
Sawyer W CrosbyInstitute for Health Metrics and Evaluation, Seattle, Washington, USA.
Anton C HarleInstitute for Health Metrics and Evaluation, Seattle, Washington, USA.
Golsum TsakalosInstitute for Health Metrics and Evaluation, Seattle, Washington, USA.
Bianca S ZlavogInstitute for Health Metrics and Evaluation, Seattle, Washington, USA.
Joseph L DielemanInstitute for Health Metrics and Evaluation, Seattle, Washington, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNational Health Accounts are a significant source of health expenditure data, designed to be comprehensive and comparable across countries. However, there is currently no single repository of this data and even when compiled major gaps persist. This research aims to provide policymakers and researchers with a single repository of available national health expenditures by healthcare functions (ie, services) and providers of such services. Leveraging these data within statistical methods, a complete set of detailed health expenditures is estimated.

methodsA methodical compilation and synthesis of all available national health expenditure reports including disaggregation by healthcare functions and providers was conducted. Using these data, a Bayesian multivariate regression analysis was implemented to estimate national-level health expenditures by the cross-classification of functions and providers for 195 countries, from 2000 to 2017.

resultsThis research used 1662 country-years and 110 070 data points of health expenditures from existing National Health Accounts. The most detailed country-year had 52% of the categories of interest reported. Of all health functions, curative care and medical goods were estimated to make up 51.4% (uncertainty interval (UI) 33.2% to 59.4%) and 17.5% (UI 13.0% to 26.9%) of total global health expenditures in 2017, respectively. Three-quarters of the global health expenditures are allocated to three categories of providers: hospital providers (35.4%, UI 30.3% to 38.9%), providers of ambulatory care (25.5%, UI 21.1% to 28.8%) and retailers of medical goods (14.4%, UI 12.4% to 16.3%). As gross domestic product increases, countries spend more on long-term care and less on preventive care.

conclusionDisaggregated estimates of health expenditures are often unavailable and unable to provide policymakers and researchers a holistic understanding of how expenditures are used. This research aggregates reported data and provides a complete time-series of estimates, with uncertainty, of health expenditures by health functions and providers between 2000 and 2017 for 195 countries.

Indexed as

Delivery of Health CareHealth ExpendituresBayes TheoremGlobal HealthHumanshealth economics

Identifiers

PMID34330760
PMCPMC8327839

What OpenQuestion holds

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LicenceCC BY
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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.