Evidence map›Paper›PMID 40479314›Full record

ArticlePravention und Gesundheitsforderung2022

[Factors influencing the implementation of integrated community-based interventions for children in new residential development areas using the example of the Munich district Freiham-a qualitative study].

Stephan Voss, Michaela Coenen, Julia Hummel, Caroline Jung-Sievers, Valerie Zu Rhein, Eva Rehfuess

Abstract readEnglish Abstract
In one paragraph

Article in Pravention und Gesundheitsforderung, 2022. 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

6 authors.

Stephan VossInstitut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie - IBE, Lehrstuhl für Public Health und Versorgungsforschung, Ludwig-Maximilians-Universität München, Elisabeth-Winterhalter-Weg 6, 81377 München, Deutschland.ORCID https://orcid.org/0000-0003-2497-8065
Michaela CoenenInstitut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie - IBE, Lehrstuhl für Public Health und Versorgungsforschung, Ludwig-Maximilians-Universität München, Elisabeth-Winterhalter-Weg 6, 81377 München, Deutschland.
Julia HummelInstitut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie - IBE, Lehrstuhl für Public Health und Versorgungsforschung, Ludwig-Maximilians-Universität München, Elisabeth-Winterhalter-Weg 6, 81377 München, Deutschland.
Caroline Jung-SieversInstitut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie - IBE, Lehrstuhl für Public Health und Versorgungsforschung, Ludwig-Maximilians-Universität München, Elisabeth-Winterhalter-Weg 6, 81377 München, Deutschland.
Valerie Zu RheinInstitut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie - IBE, Lehrstuhl für Public Health und Versorgungsforschung, Ludwig-Maximilians-Universität München, Elisabeth-Winterhalter-Weg 6, 81377 München, Deutschland.
Eva RehfuessInstitut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie - IBE, Lehrstuhl für Public Health und Versorgungsforschung, Ludwig-Maximilians-Universität München, Elisabeth-Winterhalter-Weg 6, 81377 München, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: "Präventionsketten" (prevention chains) are integrated municipal strategies to promote health and social participation for children, adolescents, and families and to prevent the negative consequences of child poverty. They exist as intersectoral networks in multiple communities in Germany. However, the implementation of such intersectoral networks in new residential development areas has not yet been systematically examined. As part of the process evaluation of the intervention "Präventionskette Freiham", which is being implemented in the Munich district of Freiham, a qualitative interview and focus group study was conducted. The aim was to identify relevant influencing factors for the implementation of this integrated municipal strategy. Methods: For this study, repeated interviews were conducted with the network management of the "Präventionskette", and a focus group was held with representatives of the involved municipal departments. Furthermore, interviews were undertaken with 12 professionals working locally in the education, social and health sectors. The data were analyzed using qualitative content analysis following Mayring. Results: According to participants, general key influencing factors for a successful implementation were the provision of financial and human resources as well as the support from local policy makers and high-level administrators. The network coordination, transparent communication, the integration of the interests of different network members, and a clear communication of the added value of engaging with the network were central factors for successful operations. Regarding the specific setting of a new residential development area, implementing demand-oriented network structures with only a small number of initial residents and a still-to-be-established supporting infrastructure presented challenges. Conclusion: Sufficient funding and commitment by policy makers and administrators are central influencing factors for the implementation of "Präventionsketten" in municipalities. Especially in a new residential development area without an established infrastructure, the development process requires a long-term commitment.

Indexed as

Child and adolescent healthCommunity health promotionHealth inequalityIntersectoral networkInterview study“Präventionsketten”Process evaluation

Identifiers

PMID40479314
PMCPMC9744050

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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.