Evidence map›Paper›PMID 32861314›Full record

ArticleLancet (London, England)2020

Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019.

GBD 2019 Universal Health Coverage Collaborators

Registry-linked trialAbstract read
In one paragraph

Article in Lancet (London, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06630962 (Evaluating the Impact of Financial Navigation on Financial Catastrophe and Distress for Cancer Care), which is not on this map. Cited by 374 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
374citing papers in PubMed, 4 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.

NCT06630962 narecruitingnot on this mapstarted 2024, after this paper: background citation

Evaluating the Impact of Financial Navigation on Financial Catastrophe and Distress for Cancer Care: A Randomized Control Trial- COST-FIN

TypeinterventionalSponsorNorthwestern UniversityRan2024 to 2026Enrolled200ConditionsBreast Neoplasm, Prostate Neoplasm, Colon Neoplasm, Rectal NeoplasmArmsFinancial Navigation Program
3 · Its place in the literature

Who cites it

374 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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314 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

GBD 2019 Universal Health Coverage Collaborators

Funding

Anesthesiology & Perioperative Medicine Training GrantT32GM086270 · NIGMS · UNIVERSITY OF WASHINGTON · PI Tonya M Palermo · 2009 to 2026
$4.3M
Mapping impact and developing mitigation strategies for climate change-mental health nexus in the context of vulnerable adolescent populations in KenyaK43TW010716 · FIC · UNIVERSITY OF NAIROBI · PI KUMAR, MANASI · 2018 to 2022
$648k
African Neurobiobank for Precision Stroke Medicine - (ELSI) ProjectU01HG010273 · NHGRI · COLLEGE OF MEDICINE, UNIVERSITY OF IBADAN · PI AKINYEMI, RUFUS OLUSOLA, ARULOGUN, OYEDUNNI SOLA · 2018 to 2022
$512k
Chief Scientist Office SCAF/15/02Chief Scientist Office SPHSU17FIC NIH HHS K43 TW010716Medical Research Council MC_UU_00022/2Medical Research Council MC_UU_12017/13Medical Research Council MC_UU_12017/15Medical Research Council MR/R024227/1Medical Research Council MR/S011676/1NHGRI NIH HHS U01 HG010273NIGMS NIH HHS T32 GM086270Wellcome Trust 109949/Z/15/ZWellcome Trust 206471/Z/17/Z
6 · The paper itself

Abstract

backgroundAchieving universal health coverage (UHC) involves all people receiving the health services they need, of high quality, without experiencing financial hardship. Making progress towards UHC is a policy priority for both countries and global institutions, as highlighted by the agenda of the UN Sustainable Development Goals (SDGs) and WHO's Thirteenth General Programme of Work (GPW13). Measuring effective coverage at the health-system level is important for understanding whether health services are aligned with countries' health profiles and are of sufficient quality to produce health gains for populations of all ages.

methodsBased on the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we assessed UHC effective coverage for 204 countries and territories from 1990 to 2019. Drawing from a measurement framework developed through WHO's GPW13 consultation, we mapped 23 effective coverage indicators to a matrix representing health service types (eg, promotion, prevention, and treatment) and five population-age groups spanning from reproductive and newborn to older adults (≥65 years). Effective coverage indicators were based on intervention coverage or outcome-based measures such as mortality-to-incidence ratios to approximate access to quality care; outcome-based measures were transformed to values on a scale of 0-100 based on the 2·5th and 97·5th percentile of location-year values. We constructed the UHC effective coverage index by weighting each effective coverage indicator relative to its associated potential health gains, as measured by disability-adjusted life-years for each location-year and population-age group. For three tests of validity (content, known-groups, and convergent), UHC effective coverage index performance was generally better than that of other UHC service coverage indices from WHO (ie, the current metric for SDG indicator 3.8.1 on UHC service coverage), the World Bank, and GBD 2017. We quantified frontiers of UHC effective coverage performance on the basis of pooled health spending per capita, representing UHC effective coverage index levels achieved in 2019 relative to country-level government health spending, prepaid private expenditures, and development assistance for health. To assess current trajectories towards the GPW13 UHC billion target-1 billion more people benefiting from UHC by 2023-we estimated additional population equivalents with UHC effective coverage from 2018 to 2023.

findingsGlobally, performance on the UHC effective coverage index improved from 45·8 (95% uncertainty interval 44·2-47·5) in 1990 to 60·3 (58·7-61·9) in 2019, yet country-level UHC effective coverage in 2019 still spanned from 95 or higher in Japan and Iceland to lower than 25 in Somalia and the Central African Republic. Since 2010, sub-Saharan Africa showed accelerated gains on the UHC effective coverage index (at an average increase of 2·6% [1·9-3·3] per year up to 2019); by contrast, most other GBD super-regions had slowed rates of progress in 2010-2019 relative to 1990-2010. Many countries showed lagging performance on effective coverage indicators for non-communicable diseases relative to those for communicable diseases and maternal and child health, despite non-communicable diseases accounting for a greater proportion of potential health gains in 2019, suggesting that many health systems are not keeping pace with the rising non-communicable disease burden and associated population health needs. In 2019, the UHC effective coverage index was associated with pooled health spending per capita (r=0·79), although countries across the development spectrum had much lower UHC effective coverage than is potentially achievable relative to their health spending. Under maximum efficiency of translating health spending into UHC effective coverage performance, countries would need to reach $1398 pooled health spending per capita (US$ adjusted for purchasing power parity) in order to achieve 80 on the UHC effective coverage index. From 2018 to 2023, an estimated 388·9 million (358·6-421·3) more population equivalents would have UHC effective coverage, falling well short of the GPW13 target of 1 billion more people benefiting from UHC during this time. Current projections point to an estimated 3·1 billion (3·0-3·2) population equivalents still lacking UHC effective coverage in 2023, with nearly a third (968·1 million [903·5-1040·3]) residing in south Asia.

interpretationThe present study demonstrates the utility of measuring effective coverage and its role in supporting improved health outcomes for all people-the ultimate goal of UHC and its achievement. Global ambitions to accelerate progress on UHC service coverage are increasingly unlikely unless concerted action on non-communicable diseases occurs and countries can better translate health spending into improved performance. Focusing on effective coverage and accounting for the world's evolving health needs lays the groundwork for better understanding how close-or how far-all populations are in benefiting from UHC.

fundingBill & Melinda Gates Foundation.

Indexed as

Global Burden of DiseaseUniversal Health InsuranceHealth ExpendituresHumansWorld Health Organization

Identifiers

PMID32861314
PMCPMC7562819

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Registered trials

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.