Evidence map›Paper›PMID 37813446›Full record

ArticleBMJ global health2023

Recovering lost tax to meet the health financing gap for universal public sector health systems in East and Southern Africa.

Rene Loewenson, Chenai Mukumba

Abstract read
In one paragraph

Article in BMJ global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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

4 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

2 authors.

Rene LoewensonTraining and Research Support Centre, Harare, Zimbabwe rene@tarsc.org.ORCID 0000-0002-9928-540X
Chenai MukumbaPolicy Research and Advocacy, Tax Justice Network Africa, Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionUniversal healthcare services funded through taxation and free at point-of-access are the most equitable ways of funding healthcare rights. This paper examines key public sector health financing measures in 17 East and Southern African (ESA) countries, estimates the funding gap for basic and comprehensive services and relates this to sources of lost tax revenue.

methodsHealth financing and tax data for 2018 (the most recent year available) were extracted from international databases for each ESA country, and analysed collectively for the region, comparing against intergovernmental estimates of optimal funding and tax capacity. Despite limitations noted, the scale of the health financing gap and tax losses informed policy recommendations.

resultsThe annual average per capita financing gap ranged from $28 to $84 for basic to comprehensive services, respectively, applying estimates of funding needs. Many innovative financing measures being explored do not meet this scale of deficit. Annual ESA per capita tax losses were estimated as: US$34.20 from shortfalls in domestic tax capacity and US$13.80 from illicit financial flows largely due to commercial practices. A proposed 25% minimum effective tax rate on multinationals in a fairer global tax system would yield an additional annual collection US$26.20 in the region.

conclusionsAddressing a total annual tax loss of US$34 billion from these three sources alone would almost completely finance the region's US$36 billion financing gap for a comprehensive public sector health system. The COVID-19 pandemic's exposure of the need for investment in public sector services suggests an opportunity for an alliance between health and finance sectors to ensure progressive taxation as the core funding for an equitable, universal health system. This implies costing the health funding demands and gap in ESA countries; strengthening domestic tax capacity, expanding wealth taxes, curbing illicit outflows and providing health evidence to ongoing African diplomacy for a fairer global tax system.

Indexed as

Health ExpendituresPublic SectorAfrica, SouthernDeveloping CountriesHealthcare FinancingHumansPandemicsTaxesHealth economicsHealth systemsOther study design

Identifiers

PMID37813446
PMCPMC10565176

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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.