Literature DB >> 31837954

A comprehensive assessment of universal health coverage in 111 countries: a retrospective observational study.

Adam Wagstaff1, Sven Neelsen2.   

Abstract

BACKGROUND: The goal of universal health coverage (UHC) requires that everyone receive needed health services, and that families who get needed services do not suffer undue financial hardship. Tracking progress towards UHC requires measurement of both these dimensions, and a way of trading them off against one another.
METHODS: We measured service coverage by a weighted geometric average of four prevention indicators (antenatal care, full immunisation, and screening for breast and cervical cancers) and four treatment indicators (skilled birth attendance, inpatient admission, and treatment for acute respiratory infection and diarrhoea), financial protection by the incidence of catastrophic health expenditures (those exceeding 10% of household consumption or income), and a country's UHC performance as a geometric average of the service coverage index and the complement of the incidence of catastrophic expenditures. Where possible, we adjusted service coverage for inequality, penalising countries with a high level of inequality. The bulk of data used in this study were from the World Bank's Health Equity and Financial Protection Indicators database (2019 version), comprising data from household surveys. Gaps in the data were supplemented with other survey data and (where necessary) non-survey data from other sources (administrative, modelled, and imputed data).
FINDINGS: A low incidence of catastrophic expenses sometimes reflects low service coverage (often in low-income countries) but sometimes occurs despite high service coverage (often in high-income countries). At a given level of service coverage, financial protection also varies. UHC index scores are generally higher in higher-income countries, but there are variations within income groups. Adjusting the UHC index for inequality in service coverage makes little difference in some countries, but reduces it by more than 10% in others. Seven of the 12 countries for which we were able to produce trend data have increased their UHC index over time (with the greatest average yearly increases seen in Ghana [1·43%], Indonesia [1·85%], and Vietnam [2·26%]), mostly by improving both financial protection and service coverage. Some increased their UHC index, despite reductions in financial protection, by substantially increasing their service coverage. The UHC index decreased in five of 12 countries with trend data, mostly because financial protection worsened with stagnant or declining service coverage. Our UHC indicators (except inpatient admissions) are significantly and positively associated with GDP per capita, and most are correlated with the share of health spending channelled through social health insurance and government schemes. However, associations of our UHC indicators with the share of GDP spent on health and the shares of health spending channelled through non-profit and private insurance are ambiguous.
INTERPRETATION: Progress towards UHC can be tracked using an index that captures both service coverage and financial protection. Although per-capita income is a good predictor of a country's UHC index score, some countries perform better than others in the same income group or even in the income group above their own. Strong UHC performance is correlated with the share of a country's health budget that is channelled through government and social health insurance schemes. FUNDING: None.
Copyright © 2020 The World Bank. Published by Elsevier Ltd. This is an Open Access article under the CC BY 3.0 IGO license. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Year:  2019        PMID: 31837954     DOI: 10.1016/S2214-109X(19)30463-2

Source DB:  PubMed          Journal:  Lancet Glob Health        ISSN: 2214-109X            Impact factor:   26.763


  26 in total

1.  Lifetime Prevalence of Cervical Cancer Screening in 55 Low- and Middle-Income Countries.

Authors:  Julia M Lemp; Jan-Walter De Neve; Hermann Bussmann; Simiao Chen; Jennifer Manne-Goehler; Michaela Theilmann; Maja-Emilia Marcus; Cara Ebert; Charlotte Probst; Lindiwe Tsabedze-Sibanyoni; Lela Sturua; Joseph M Kibachio; Sahar Saeedi Moghaddam; Joao S Martins; Dismand Houinato; Corine Houehanou; Mongal S Gurung; Gladwell Gathecha; Farshad Farzadfar; Scott Dryden-Peterson; Justine I Davies; Rifat Atun; Sebastian Vollmer; Till Bärnighausen; Pascal Geldsetzer
Journal:  JAMA       Date:  2020-10-20       Impact factor: 56.272

2.  Trends in, projections of, and inequalities in non-communicable disease management indicators in Vietnam 2010-2030 and progress toward universal health coverage: A Bayesian analysis at national and sub-national levels.

Authors:  Phuong The Nguyen; Stuart Gilmour; Phuong Mai Le; Hoa L Nguyen; Thi Minh An Dao; Bao Quoc Tran; Minh Van Hoang; Huy Van Nguyen
Journal:  EClinicalMedicine       Date:  2022-07-11

3.  Financial risk protection in health care in Bangladesh in the era of Universal Health Coverage.

Authors:  Taslima Rahman; Dominic Gasbarro; Khurshid Alam
Journal:  PLoS One       Date:  2022-06-24       Impact factor: 3.752

4.  Estimating the effects of policies on infertility prevalence worldwide.

Authors:  Xiaochen Zhang; Quanquan Guan; Qiurun Yu; Wenwen Xiao; Ziyu Chen; Chao Dong; Siting Deng; Yin Zhuang; Yankai Xia
Journal:  BMC Public Health       Date:  2022-07-19       Impact factor: 4.135

5.  Factors associated with catastrophic health expenditure in sub-Saharan Africa: A systematic review.

Authors:  Paul Eze; Lucky Osaheni Lawani; Ujunwa Justina Agu; Linda Uzo Amara; Cassandra Anurika Okorie; Yubraj Acharya
Journal:  PLoS One       Date:  2022-10-20       Impact factor: 3.752

6.  Group Medical Visit and Microfinance Intervention for Patients With Diabetes or Hypertension in Kenya.

Authors:  Rajesh Vedanthan; Jemima H Kamano; Stavroula A Chrysanthopoulou; Richard Mugo; Benjamin Andama; Gerald S Bloomfield; Cleophas W Chesoli; Allison K DeLong; David Edelman; Eric A Finkelstein; Carol R Horowitz; Simon Manyara; Diana Menya; Violet Naanyu; Vitalis Orango; Sonak D Pastakia; Thomas W Valente; Joseph W Hogan; Valentin Fuster
Journal:  J Am Coll Cardiol       Date:  2021-04-27       Impact factor: 27.203

7.  Temporal trends and variation in out-of-pocket expenditures and patient cost sharing: evidence from a Chinese national survey 2011-2015.

Authors:  Vicky Mengqi Qin; Yuting Zhang; Kee Seng Chia; Barbara McPake; Yang Zhao; Emily S G Hulse; Helena Legido-Quigley; John Tayu Lee
Journal:  Int J Equity Health       Date:  2021-06-19

8.  Factors associated with delays in the search for care in under-5 deaths in Yucatán, Mexico.

Authors:  Bernardo Hernández-Prado; Elsa María Rodríguez-Angulo; Erin B Palmisano; Ricardo Ojeda-Rodríguez; Rafael Javier Ojeda-Baranda; María Guadalupe Andueza-Pecha; Louisa M Johnson; Alan Chen; Casey Johanns; Neal Marquez; Aruna M Kamath; Joseph N Camarda; Abraham D Flaxman
Journal:  Salud Publica Mex       Date:  2021-06-18

9.  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.

Authors: 
Journal:  Lancet       Date:  2020-08-27       Impact factor: 202.731

10.  Evaluation of a pilot program that integrated prenatal screening into routine antenatal care in western rural China: an interrupted time-series study.

Authors:  Xing Lin Feng; Chunmei Wen
Journal:  Lancet Reg Health West Pac       Date:  2020-12-24
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