Evidence map›Paper›PMID 40003428›Full record

ReviewInternational journal of environmental research and public health2025

Integrating Green Care Initiatives into Conventional Health Systems: Which Governance Dimensions Can Guide This Process?

Alessandra Rigo, Elena Pisani, Laura Secco

Abstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2025. 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

3 authors.

Alessandra RigoDepartment of Land, Environment, Agriculture and Forestry (TESAF), University of Padova, Agripolis-Viale dell'Università 16, 35020 Legnaro, Italy.ORCID 0000-0001-5182-805X
Elena PisaniDepartment of Land, Environment, Agriculture and Forestry (TESAF), University of Padova, Agripolis-Viale dell'Università 16, 35020 Legnaro, Italy.ORCID 0000-0002-8918-2781
Laura SeccoDepartment of Land, Environment, Agriculture and Forestry (TESAF), University of Padova, Agripolis-Viale dell'Università 16, 35020 Legnaro, Italy.ORCID 0000-0001-7533-7474

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Green Care initiatives (GCIs) encompass various interventions that support physical, mental, and social well-being through interaction with nature. Integrating GCIs into conventional healthcare systems is a complex task that requires multi-actor and multi-level governance efforts. This study examines, through a systematized literature review, the relevant governance dimensions to facilitate the inclusion of GCIs in traditional care pathways. From the analysis of the 36 selected studies, four key dimensions were identified: organizational structure, knowledge, legitimacy, and decentralization. The analysis highlights the need to strengthen the responsibility of Green Care actors as healthcare service providers, enhance local authorities' role in creating new integrated service delivery networks, combine different knowledge perspectives, and legitimize non-healthcare actors. Recommendations are made to address these governance aspects to facilitate the integration of GCIs and channel their benefits in prevention and health promotion. Adopting an adequate governance framework is fundamental for mainstreaming GCIs in current healthcare systems.

Indexed as

Delivery of Health CareHumansNaturegovernancegreen and blue areasgreen care initiativeshealthcareliterature reviewnature-based health initiatives

Identifiers

PMID40003428
PMCPMC11855835

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.