Evidence map›Paper›PMID 32567036›Full record

ArticleApplied health economics and health policy2020

Evaluating Equity in Health Financing Using Benefit Incidence Analysis: A Framework for Accounting for Quality of Care.

Augustine Asante, Nicola Man, Virginia Wiseman

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Applied health economics and health policy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.6field-weighted citation impact, top 11% of its field
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

4 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 2 countries.

Augustine AsanteSchool of Public Health and Community Medicine, University of New South Wales (UNSW) Sydney, Room 238, Level 2 Samuels Building, Sydney, NSW, 2052, Australia. a.asante@unsw.edu.au.ORCID 0000-0003-3894-3437
Nicola ManNational Drug and Alcohol Research Centre, University of New South Wales (UNSW) Sydney, Sydney, NSW, Australia.ORCID 0000-0003-2224-9301
Virginia WisemanDepartment of Global Health and Development, London School of Hygiene and Tropical Medicine, London, UK.
UNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Equity in health care financing has gained increased attention in low- and middle-income countries (LMICs) following the renewed global interest in universal health coverage (UHC), a key component of the sustainable development goals (SDGs). UHC requires that people have access to the health services they need without risking financial hardship. Health financing is central to UHC and many LMICs have initiated reforms to align their health financing systems with the goals of UHC. Evaluation of the equity impact of these reforms has become a growing area of research, especially in countries with large health inequalities where the pressure to move towards UHC is most intense and the need for evidence to inform policy most critical. However, current analytical tools for evaluating equity in health financing conspicuously exclude indicators of quality, an important dimension of UHC. The aim of this paper was to address this critical methodological gap by introducing quality scores into benefit incidence analysis (BIA), one of the key techniques for assessing equity in health financing. BIA measures the extent to which different socioeconomic groups benefit from public spending on health care through their use of health services. The benefit (public subsidy) is captured in monetary terms by multiplying the quantity of a particular health service consumed by the unit cost of that service and subtracting any out-of-pocket costs incurred while using the service. It does not account for variations in the quality of health services in the computation of the public subsidy.

Indexed as

Healthcare FinancingHealth EquityHealth ExpendituresHumansIncidenceQuality of Health CareUniversal Health Insurance

Identifiers

PMID32567036
PMCPMC7716894
OpenAlexW3036150065

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.