Real-world public health interventions demonstrate how research evidence informs program scale-up.
Evidence-based population interventions rely on intervention testing (efficacy and effectiveness trials) to determine what works to improve public health. We investigated the characteristics of real-world public health interventions to address obesity and explored the extent to which research testin...
| Publicado en: | Health Promotion International Vol. 39; no. 5; pp. 1 - 10 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Oxford University Press / USA
Oct2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=180652028&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 180652028 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09574824 F9Y jtl: Health Promotion International issn: 09574824 maglogo: N pubinfo: dt: Oct2024 vid: 39 iid: 5 pid: 622 pub: Oxford University Press / USA artinfo: ui: 180652028 180652028 180652028 10.1093/heapro/daae111 180652028 ppf: 1 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Real-world public health interventions demonstrate how research evidence informs program scale-up. aug: au: Crane, Melanie Lee, Karen Wolfenden, Luke Phongsavan, Philayrath Bauman, Adrian affil: Sydney School of Public Health, The University of Sydney , New South Wales 2006 , Australia sug: subj: Public Health Evaluation Obesity Prevention and Control Research, Medical Treatment Outcomes Human Population Health Health Behavior Nutrition Physical Activity Health Education North America Financing, Government Web Search Engines World Wide Web Program Evaluation Decision Making Data Analysis Software Chi Square Test T-Tests Univariate Statistics Logistic Regression Odds Ratio Confidence Intervals Descriptive Statistics Funding Source ab: Evidence-based population interventions rely on intervention testing (efficacy and effectiveness trials) to determine what works to improve public health. We investigated the characteristics of real-world public health interventions to address obesity and explored the extent to which research testing was undertaken prior to scale-up. We identified 90 population health interventions targeting physical activity, nutrition or obesity-related health behaviours and collected publicly available information on their key characteristics and outcomes. We then assessed the differences between interventions that followed a research pathway and those that did not. Two-thirds (n = 60) of the interventions were reported as having followed a research pathway. Univariate logistic regression analysis revealed that these interventions were more likely to be health education interventions [odds ratio (OR): 5.56; 95% confidence interval (CI): 1.38–22.38], developed by research institutes (OR: 12.81; 95% CI: 3.47–47.34), delivered in North America (OR: 4.13; 95% CI: 1.61–10.62), and less likely to be owned (OR: 0.35; 95% CI: 0.14–0.88) or funded by government organizations (OR: 0.37; 95% CI: 0.14–0.95). Interventions that followed a research pathway were nearly three times more likely to have a positive impact on population health (OR: 2.72; 95% CI: 1.04–7.14). Interventions that followed a research pathway to scale-up were no more likely to be sustained longer than those that did not. Differences exist across real-world interventions between those that follow a research pathway to population-scale delivery and those that do not, regarding organizational and environmental context. A key benefit of research pathway to scale-up is the impact it has on health outcomes. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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