Financial risk protection (FRP) is an indicator of the Sustainable Development Goal 3 universal health coverage (UHC) target. We sought to characterise what is known about FRP in the UHC context and to identify evidence gaps to prioritise in future research.
Scoping overview of reviews using the Arksey & O’Malley and Levac & Colquhoun framework and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews reporting guidelines.
MEDLINE, PsycINFO, CINAHL-Plus and PAIS Index were systematically searched for studies published between 1 January 1995 and 20 July 2021.
Records were screened by two independent reviewers in duplicate using the following criteria: (1) literature review; (2) focus on UHC achievement through FRP; (3) English or French language; (4) published after 1995 and (5) peer-reviewed.
Two reviewers extracted data using a standard form and descriptive content analysis was performed to synthesise findings.
50 studies were included. Most studies were systematic reviews focusing on low-income and middle-income countries. Study periods spanned 1990 and 2020. While FRP was recognised as a dimension of UHC, it was rarely defined as a concept. Out-of-pocket, catastrophic and impoverishing health expenditures were most commonly used to measure FRP. Pooling arrangements, expansion of insurance coverage and financial incentives were the main interventions for achieving FRP. Evidence gaps pertained to the effectiveness, cost-effectiveness and equity implications of efforts aimed at increasing FRP. Methodological gaps related to trade-offs between single-country and multicountry analyses; lack of process evaluations; inadequate mixed-methods evidence, disaggregated by relevant characteristics; lack of comparable and standardised measurement and short follow-up periods.
This scoping overview of reviews characterised what is known about FRP as a UHC dimension and found evidence gaps related to the effectiveness, cost-effectiveness and equity implications of FRP interventions. Theory-informed mixed-methods research using high-quality, longitudinal and disaggregated data is needed to address these objectives.