ArticlePreventing chronic disease2013
Strengthening chronic disease prevention programming: the Toward Evidence-Informed Practice (TEIP) Program Assessment Tool.
Article in Preventing chronic disease, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Barriers and facilitators to HIV and syphilis rapid diagnostic testing in antenatal care settings in low-income and middle-income countries: a systematic review.BMJ global health · 2022Pooled it
- Evaluator's alignment as an important indicator of adequacy of the criteria and assessment procedure for recognizing the good practice in public health.Frontiers in public health · 2024Article
- Framework for Selecting Best Practices in Public Health: A Systematic Literature Review.Journal of public health research · 2015Review
- Appraising the evidence for public health policy components using the quality and impact of component evidence assessment.Global heart · 2015Review
- Article
- Strengthening chronic disease prevention programming: the Toward Evidence-Informed Practice (TEIP) Program Evidence Tool.Preventing chronic disease · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Best practices identified solely on the strength of research evidence may not be entirely relevant or practical for use in community-based public health and the practice of chronic disease prevention. Aiming to bridge the gap between best practices literature and local knowledge and expertise, the Ontario Public Health Association, through the Toward Evidence-Informed Practice initiative, developed a set of resources to strengthen evidence-informed decision making in chronic disease prevention programs. A Program Assessment Tool, described in this article, emphasizes better processes by incorporating review criteria into the program planning and implementation process. In a companion paper, "Strengthening Chronic Disease Prevention Programming: The Toward Evidence-Informed Practice (TEIP) Program Evidence Tool," we describe another tool, which emphasizes better evidence by providing guidelines and worksheets to identify, synthesize, and incorporate evidence from a range of sources (eg, peer-reviewed literature, gray literature, local expertise) to strengthen local programs.The Program Assessment Tool uses 19 criteria derived from literature on best and promising practices to assess and strengthen program planning and implementation. We describe the benefits, strengths, and challenges in implementing the tool in 22 community-based chronic disease prevention projects in Ontario, Canada. The Program Assessment Tool helps put best processes into operation to complement adoption and adaptation of evidence-informed practices for chronic disease prevention.
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What OpenQuestion holds
Registered trials
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.