Evidence map›Paper›PMID 31142525›Full record

ArticleBMJ open2019

Measuring financial risk protection in health benefits packages: scoping review protocol to inform allocative efficiency studies.

Gerard Joseph Abou Jaoude, Jolene Skordis-Worrall, Hassan Haghparast-Bidgoli

Abstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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.

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

3 authors.

Gerard Joseph Abou JaoudeInstitute for Global Health, University College London, London, UK.ORCID 0000-0001-6022-3036
Jolene Skordis-WorrallInstitute for Global Health, University College London, London, UK.ORCID 0000-0002-8633-0208
Hassan Haghparast-BidgoliInstitute for Global Health, University College London, London, UK.ORCID 0000-0001-6365-2944

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTo progress towards Universal Health Coverage (UHC), countries will need to define a health benefits package of services free at the point of use. Financial risk protection is a core component of UHC and should therefore be considered a key dimension of health benefits packages. Allocative efficiency modelling tools can support national analytical capacity to inform an evidence-based selection of services, but none are currently able to estimate financial risk protection. A review of existing methods used to measure financial risk protection can facilitate their inclusion in modelling tools so that the latter can become more relevant to national decision making in light of UHC. METHODS AND ANALYSIS: This protocol proposes to conduct a scoping review of existing methods used to measure financial risk protection and assess their potential to inform the selection of services in a health benefits package. The proposed review will follow the methodological framework developed by Arksey and O'Malley and the subsequent recommendations made by Levac ETHICS AND DISSEMINATION: The scoping review proposed in this protocol does not require ethical approval. The final results will be disseminated via publication in a peer-reviewed journal, conference presentations and shared with key stakeholders.

Indexed as

Delivery of Health CareHumansResearch DesignResource AllocationRiskRisk Sharing, FinancialScoping Reviews as TopicUniversal Health Insuranceallocative efficiency modellingfinancial risk protectionpriority settingscoping review protocoluniversal health coverage

Identifiers

PMID31142525
PMCPMC6549617

What OpenQuestion holds

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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.