Evidence map›Paper›PMID 40778381›Full record

ArticleInternational journal of integrated care

Third Sector Organisations' Contributions to the Health and Care Ecosystem.

Sanna Tuurnas, Henna Paananen, Anna-Aurora Kork

Abstract read
In one paragraph

Article in International journal of integrated care. 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.

Sanna TuurnasFaculty of Management and Business, Tampere University, Finland.ORCID https://orcid.org/0000-0001-5201-2159
Henna PaananenFaculty of Management and Business, Tampere University, Finland.ORCID https://orcid.org/0000-0003-1140-7730
Anna-Aurora KorkSchool of Management, University of Vaasa, Finland.ORCID https://orcid.org/0000-0002-2658-0918

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In integrated care models, third sector organisations (TSOs) are essential but often undervalued parts of the health and care ecosystem to address care fragmentation and inequity of access. In this study, we illustrate the value contributed by TSOs in a co-production setting. Methods: In this qualitative study, frame analysis was used to explore the varied interpretations of TSOs' value contributions at different levels of the ecosystem. The qualitative interview data were collected from 16 informants in the context of a Nordic welfare state, Finland. The interviewees represented a variety of health and care TSOs. Results: The resulting frames were seen as organising principles that are socially shared. The analysis revealed a threefold interpretative schema of TSOs' value contributions: strengthening the ideals of civil society, advancing the public service system and connecting people to communities. Discussion: The findings demonstrate that TSOs contribute values in health and care ecosystems at all levels-micro, meso and macro-by integrating short- and long-term policy objectives, ensuring that their actions result in meaningful and sustainable benefits across all levels of the public service ecosystem. Conclusions: This study underlines the need to integrate civil society into the health and care ecosystem and, specifically, to acknowledge the holistic contribution of TSOs when developing integrated care models. The key contribution of this study is demonstrating the diverse ways in which TSOs can contribute value for integrated care.

Indexed as

co-productionhealth and care ecosystemsintegrated carethird sector organisationsvalue contribution

Identifiers

PMID40778381
PMCPMC12330809

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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.