Evidence map›Paper›PMID 42676431›Full record

ReviewPublic health reviews2026

Integrating ESG indicators into public health governance as a policy innovation for institutional accountability: a scoping review.

Pierluigi Catalfo, Daniele Virgillito, Giuseppe Messina, Caterina Ledda

Abstract readReview
In one paragraph

Review in Public health reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Pierluigi CatalfoDepartment of Economics and Business, University of Catania, Catania, Italy.
Daniele VirgillitoDepartment of Economics and Business, University of Catania, Catania, Italy.
Giuseppe MessinaUnit for Finance and Asset Management, Provincial Health Authority of Catania, Catania, Italy.
Caterina LeddaDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To examine how ESG indicators and related frameworks are being translated from corporate disclosure into public health governance. Methods: Following PRISMA-ScR and the PCC framework, we synthesized 25 studies and grey-literature documents to map definitions, implementation levels, governance uses, barriers, and research gaps. ESG integration was defined as the use of environmental, social, and governance indicators to support accountability, transparency, stakeholder engagement, sustainability alignment, and strategic control in health systems. Results: ESG-related frameworks may strengthen reporting practices, multisectoral coordination, and alignment with the Sustainable Development Goals when supported by leadership, technical capacity, harmonized indicators, and standardized reporting systems. However, the evidence remains heterogeneous and exploratory. Direct effects on governance performance, health outcomes, or equity are rarely demonstrated. Key gaps include unclear conceptual boundaries between ESG, CSR, SDG monitoring, and sustainability reporting, limited appraisal of reporting versus actual performance, measurement inconsistency, and under-representation of low-resource and Global South contexts. Conclusion: Future research should validate sector-specific ESG indicators and evaluate whether ESG integration improves accountability, equity, and sustainable public health governance.

Indexed as

corporate social responsibilityESG indicatorshealth systemsinstitutional accountabilitymultisectoral collaboration

Identifiers

PMID42676431
PMCPMC13526686

What OpenQuestion holds

Textmetadata
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.