SynthesisSystematic reviews2024
Assessing the effects of population-level political, economic and social exposures, interventions and policies on inclusive economy outcomes for health equity in high-income countries: a systematic review of reviews.
Synthesis in Systematic reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Bridging Financial Inclusion and Health Equity in LMICs: Evidence from a Half-Century of Bibliometric Data.International journal of environmental research and public health · 2026Article
- An inclusive economy dataset for wards in Great Britain using administrative and synthetic data sources.Scientific data · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA fairer economy is increasingly recognised as crucial for tackling widening social, economic and health inequalities within society. However, which actions have been evaluated for their impact on inclusive economy outcomes is yet unknown.
objectiveIdentify the effects of political, economic and social exposures, interventions and policies on inclusive economy (IE) outcomes in high-income countries, by systematically reviewing the review-level evidence.
methodsWe conducted a review of reviews; searching databases (May 2020) EconLit, Web of Science, Sociological Abstracts, ASSIA, International Bibliography of the Social Sciences, Public Health Database, Embase and MEDLINE; and registries PROSPERO, Campbell Collaboration and EPPI Centre (February 2021) and grey literature (August/September 2020). We aimed to identify reviews which examined social, political and/or economic exposures, interventions and policies in relation to two IE outcome domains: (i) equitable distribution of the benefits of the economy and (ii) equitable access to the resources needed to participate in the economy. Reviews had to include primary studies which compared IE outcomes within or between groups. Quality was assessed using a modified version of AMSTAR-2 and data synthesised informed by SWiM principles.
resultsWe identified 19 reviews for inclusion, most of which were low quality, as was the underlying primary evidence. Most reviews (n = 14) had outcomes relating to the benefits of the economy (rather than access to resources) and examined a limited set of interventions, primarily active labour market programmes and social security. There was limited high-quality review evidence to draw upon to identify effects on IE outcomes. Most reviews focused on disadvantaged groups and did not consider equity impacts.
conclusionsReview-level evidence is sparse and focuses on 'corrective' approaches. Future reviews should examine a diverse set of 'upstream' actions intended to be inclusive 'by design' and consider a wider range of outcomes, with particular attention to socioeconomic inequalities.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.