Literature DB >> 29248367

Progress on catastrophic health spending in 133 countries: a retrospective observational study.

Adam Wagstaff1, Gabriela Flores2, Justine Hsu2, Marc-François Smitz3, Kateryna Chepynoga2, Leander R Buisman4, Kim van Wilgenburg2, Patrick Eozenou3.   

Abstract

BACKGROUND: The goal of universal health coverage (UHC) requires inter alia that families who get needed health care do not suffer undue financial hardship as a result. This can be measured by the percentage of people in households whose out-of-pocket health expenditures are large relative to their income or consumption. We aimed to estimate the global incidence of catastrophic health spending, trends between 2000 and 2010, and associations between catastrophic health spending and macroeconomic and health system variables at the country level.
METHODS: We did a retrospective observational study of health spending using data obtained from household surveys. Of 1566 potentially suitable household surveys, 553 passed quality checks, covering 133 countries between 1984 and 2015. We defined health spending as catastrophic when it exceeded 10% or 25% of household consumption. We estimated global incidence by aggregating up from every country, using a survey for the year in question when available, and interpolation and model-based estimates otherwise. We used multiple regression to explore the relation between a country's incidence of catastrophic spending and gross domestic product (GDP) per person, the Gini coefficient for income inequality, and the share of total health expenditure spent by social security funds, other government agencies, private insurance schemes, and non-profit institutions.
FINDINGS: The global incidence of catastrophic spending at the 10% threshold was estimated as 9·7% in 2000, 11·4% in 2005, and 11·7% in 2010. Globally, 808 million people in 2010 incurred catastrophic health spending. Across 94 countries with two or more survey datapoints, the population-weighted median annual rate of change of catastrophic payment incidence was positive whatever catastrophic payment incidence measure was used. Incidence of catastrophic payments was correlated positively with GDP per person and the share of GDP spent on health, and incidence correlated negatively with the share of total health spending channelled through social security funds and other government agencies.
INTERPRETATION: The proportion of the population that is supposed to be covered by health insurance schemes or by national or subnational health services is a poor indicator of financial protection. Increasing the share of GDP spent on health is not sufficient to reduce catastrophic payment incidence; rather, what is required is increasing the share of total health expenditure that is prepaid, particularly through taxes and mandatory contributions. FUNDING: Rockefeller Foundation, Ministry of Health of Japan, UK Department for International Development (DFID).
© 2017 The World Bank and World Health Organization. Published by Elsevier. This is an Open Access Article published under the CC BY 3.0 IGO license which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In any use of this Article, there should be no suggestion that The World Bank or WHO endorse any specific organisation, products or services. The use of The World Bank or the WHO logo is not permitted. This notice should be preserved along with the Article's original URL.

Entities:  

Mesh:

Year:  2017        PMID: 29248367     DOI: 10.1016/S2214-109X(17)30429-1

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


  129 in total

Review 1.  High-quality health systems in the Sustainable Development Goals era: time for a revolution.

Authors:  Margaret E Kruk; Anna D Gage; Catherine Arsenault; Keely Jordan; Hannah H Leslie; Sanam Roder-DeWan; Olusoji Adeyi; Pierre Barker; Bernadette Daelmans; Svetlana V Doubova; Mike English; Ezequiel García-Elorrio; Frederico Guanais; Oye Gureje; Lisa R Hirschhorn; Lixin Jiang; Edward Kelley; Ephrem Tekle Lemango; Jerker Liljestrand; Address Malata; Tanya Marchant; Malebona Precious Matsoso; John G Meara; Manoj Mohanan; Youssoupha Ndiaye; Ole F Norheim; K Srinath Reddy; Alexander K Rowe; Joshua A Salomon; Gagan Thapa; Nana A Y Twum-Danso; Muhammad Pate
Journal:  Lancet Glob Health       Date:  2018-09-05       Impact factor: 26.763

2.  Explaining Socioeconomic Inequality Differences in Catastrophic Health Expenditure Between Urban and Rural Areas of Iran After Health Transformation Plan Implementation.

Authors:  Ali Kazemi-Karyani; Abraha Woldemichael; Moslem Soofi; Behzad Karami Matin; Shahin Soltani; Jafar Yahyavi Dizaj
Journal:  Clinicoecon Outcomes Res       Date:  2020-11-11

3.  Effects of Financial Inclusion on Access to Emergency Funds for Healthcare in the Kingdom of Saudi Arabia.

Authors:  Mohammed Khaled Al-Hanawi; Gowokani Chijere Chirwa; Tony Mwenda Kamninga; Laston Petro Manja
Journal:  J Multidiscip Healthc       Date:  2020-10-15

4.  Determinants of catastrophic healthcare expenditure in Peru.

Authors:  Diego Proaño Falconi; Eduardo Bernabé
Journal:  Int J Health Econ Manag       Date:  2018-05-09

Review 5.  The Lancet NCDI Poverty Commission: bridging a gap in universal health coverage for the poorest billion.

Authors:  Gene Bukhman; Ana O Mocumbi; Rifat Atun; Anne E Becker; Zulfiqar Bhutta; Agnes Binagwaho; Chelsea Clinton; Matthew M Coates; Katie Dain; Majid Ezzati; Gary Gottlieb; Indrani Gupta; Neil Gupta; Adnan A Hyder; Yogesh Jain; Margaret E Kruk; Julie Makani; Andrew Marx; J Jaime Miranda; Ole F Norheim; Rachel Nugent; Nobhojit Roy; Cristina Stefan; Lee Wallis; Bongani Mayosi
Journal:  Lancet       Date:  2020-09-14       Impact factor: 79.321

6.  Universal Health Coverage: Are Older Adults Being Left Behind? Evidence From Aging Cohorts In Twenty-Three Countries.

Authors:  James Macinko; Flavia Cristina Drumond Andrade; Fabiola Bof de Andrade; Maria Fernanda Lima-Costa
Journal:  Health Aff (Millwood)       Date:  2020-11       Impact factor: 6.301

7.  Geospatial access predicts cancer stage at presentation and outcomes for patients with breast cancer in southwest Nigeria: A population-based study.

Authors:  Gregory C Knapp; Gavin Tansley; Olalekan Olasehinde; Funmilola Wuraola; Adewale Adisa; Olukayode Arowolo; M O Olawole; Anya M Romanoff; May Lynn Quan; Antoine Bouchard-Fortier; Olusegun I Alatise; T Peter Kingham
Journal:  Cancer       Date:  2020-12-28       Impact factor: 6.860

8.  Insured clients out-of-pocket payments for health care under the national health insurance scheme in Ghana.

Authors:  Patricia Akweongo; Moses Aikins; Kaspar Wyss; Paola Salari; Fabrizio Tediosi
Journal:  BMC Health Serv Res       Date:  2021-05-08       Impact factor: 2.655

9.  The economic burden of pneumonia in children under five in Uganda.

Authors:  Elizabeth Ekirapa-Kiracho; Gatien De Broucker; Anthony Ssebagereka; Aloysius Mutebi; Rebecca Racheal Apolot; Bryan Patenaude; Dagna Constenla
Journal:  Vaccine X       Date:  2021-04-02

Review 10.  Hypertension in Low- and Middle-Income Countries.

Authors:  Aletta E Schutte; Nikhil Srinivasapura Venkateshmurthy; Sailesh Mohan; Dorairaj Prabhakaran
Journal:  Circ Res       Date:  2021-04-01       Impact factor: 17.367

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.