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1000 Titel
  • Long-Term Effects of Integrated Strategies of Community Health Promotion on Diabetes Mellitus Mortality: a Natural Policy Experiment Based on Aggregated Longitudinal Secondary Data
1000 Autor/in
  1. Röding, Dominik |
  2. Walter, Ulla |
  3. Dreier, Maren |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-11-19
1000 Erschienen in
1000 Quellenangabe
  • 98(6):791-800
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s11524-021-00590-7 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8688653/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Integrated strategies of community health promotion (ISCHP) are based on intersectoral collaborations using the Health in All Policies approach to address determinants of health. While effects on health determinants have been shown, evidence on the effectiveness of ISCHP on health outcomes is scarce. The aim of this study is to assess the long-term effects of ISCHP on diabetes mellitus mortality (DMM) in German communities. A nonrandomized evaluation based on secondary county-level official data (1998-2016) was performed. In April 2019, 149 communities in Germany with ISCHP out of 401 were identified. Communities with < 5 measurements of DMM, starting before 1999 or after 2015, were excluded. Analyses included 65 communities with ISCHP (IG) and 124 without ISCHP (CG). ISCHP ran for a mean of 5.6 years. Fixed effects (FE) models were used to estimate effects of ISCHP and duration on DMM taking into account the time-varying average age. The FE estimator for DMM is b =  - 2.48 (95% CI - 3.45 to - 1.51) for IG vs. CG and b =  - 0.30 (95% CI - 0.46 to - 0.14) for ISCHP duration (0-16 years). In the first year of an ISCHP, a reduction of the annual DMM of 0.3 per 100,000 population (1%), and in the 16th year of 4.8 (14%) was achieved. This study provides preliminary evidence of the effectiveness of ISCHP in Germany. Limitations include inaccuracies to classify IG and CG and possible selection bias. Longitudinal county-level data may be an efficient data source to evaluate complex interventions, thereby contributing to further strengthen evidence-based integrated health promotion.
1000 Sacherschließung
lokal Health Promotion [MeSH]
lokal Article
lokal Community-based prevention
lokal Diabetes Mellitus [MeSH]
lokal Humans [MeSH]
lokal Natural experiment
lokal Intersectoral collaboration
lokal Health in all policies
lokal Effectiveness
lokal Germany/epidemiology [MeSH]
lokal Fixed effects
lokal Policy [MeSH]
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-7621-5679|https://frl.publisso.de/adhoc/uri/V2FsdGVyLCBVbGxh|https://frl.publisso.de/adhoc/uri/RHJlaWVyLCBNYXJlbg==
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1000 Erstellt am 2023-04-27T13:39:40.693+0200
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