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1000 Titel
  • Study protocol: a non-randomised community trial to evaluate the effectiveness of the communities that care prevention system in Germany
1000 Autor/in
  1. Röding, Dominik |
  2. Soellner, Renate |
  3. Reder, Maren |
  4. Birgel, Vera |
  5. Kleiner, Constantin |
  6. Stolz, Maike |
  7. Groeger-Roth, Frederick |
  8. Krauth, Christian |
  9. Walter, Ulla |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-10-23
1000 Erschienen in
1000 Quellenangabe
  • 21(1):1927
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s12889-021-11935-x |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8541816/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Background: The Communities That Care (CTC) prevention planning and implementation system trains communities throughout a five-phase cycle to (1) build capacity for prevention, (2) adopt science-based prevention, (3) assess the prevention needs of adolescents living in the community, (4) select, and (5) implement evidence-based programs according to their needs. After CTC proved to be effective and cost-effective in the U.S., it is being used by an increasing number of communities in Germany. The aim of this study is to evaluate the effectiveness and cost-effectiveness of CTC in Germany. Methods: Communities in CTC-phases 1 to 3 (n = 21) and individually-matched comparison communities (n = 21) were recruited for a non-randomised trial. To assess long-term outcomes, (1) a cohort of 5th Grade students will be surveyed biennially concerning behaviours (antisocial behaviour and substance use) and well-being as well as risk and protective factors. Additionally, (2) biennial cross-sectional surveys will be conducted in 6th, 8th, 10th, and 11th Grade in each community. To assess short-term outcomes, a cohort of ten key informants per community will be surveyed biennially concerning adoption of science-based prevention, collaboration, community support and community norms. (4) In a cross-sectional design, all ongoing prevention programs and activities in the communities will be assessed biennially and data will be collected about costs, implementation and other characteristics of the programs and activities. (5) To monitor the CTC implementation, the members of the local CTC-boards will be surveyed annually (cross-sectional design) about team functioning and coalition capacity. Data analysis will include general and generalised mixed models to assess the average treatment effect of CTC. Mediation analyses will be performed to test the logical model, e.g., adoption of science-based prevention as a mediator for the effectiveness of the CTC approach. Discussion: This is the first controlled study to evaluate the effectiveness of a comprehensive community prevention approach in Germany. Evaluating the effectiveness of CTC in Germany is an important prerequisite for further diffusion of the CTC approach.
1000 Sacherschließung
lokal Adolescent [MeSH]
lokal Cost-Benefit Analysis [MeSH]
lokal Study Protocol
lokal Humans [MeSH]
lokal Substance-Related Disorders [MeSH]
lokal Cross-Sectional Studies [MeSH]
lokal Non-randomised
lokal Students [MeSH]
lokal Youth
lokal Protective factors
lokal Risk factors
lokal Problem behaviour
lokal Capacity building
lokal Quasi-experimental
lokal Germany [MeSH]
lokal Intersectoral collaboration
lokal Community trial
lokal Effectiveness
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-7621-5679|https://frl.publisso.de/adhoc/uri/U29lbGxuZXIsIFJlbmF0ZQ==|https://frl.publisso.de/adhoc/uri/UmVkZXIsIE1hcmVu|https://frl.publisso.de/adhoc/uri/QmlyZ2VsLCBWZXJh|https://frl.publisso.de/adhoc/uri/S2xlaW5lciwgQ29uc3RhbnRpbg==|https://frl.publisso.de/adhoc/uri/U3RvbHosIE1haWtl|https://frl.publisso.de/adhoc/uri/R3JvZWdlci1Sb3RoLCBGcmVkZXJpY2s=|https://frl.publisso.de/adhoc/uri/S3JhdXRoLCBDaHJpc3RpYW4=|https://frl.publisso.de/adhoc/uri/V2FsdGVyLCBVbGxh
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1000 Erstellt am 2023-11-15T13:39:58.294+0100
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1000 Zuletzt bearbeitet Thu Nov 30 20:12:11 CET 2023
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