Evidence map›Paper›PMID 23721788›Full record

ArticlePreventing chronic disease2013

Strengthening chronic disease prevention programming: the Toward Evidence-Informed Practice (TEIP) Program Evidence Tool.

Dayna Albert, Rebecca Fortin, Christine Herrera, Barbara Riley, Rhona Hanning, Anne Lessio, Brian Rush

Abstract read
In one paragraph

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

7 authors.

Dayna AlbertOntario Public Health Association, Toronto, Ontario.
Rebecca Fortin
Christine Herrera
Barbara Riley
Rhona Hanning
Anne Lessio
Brian Rush

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In public health and chronic disease prevention there is increasing priority for effective use of evidence in practice. In Ontario, Canada, despite various models being advanced, public health practitioners are seeking ways to identify and apply evidence in their work in practical and meaningful ways. In a companion article, "Strengthening Chronic Disease Prevention Programming: The Toward Evidence-Informed Practice (TEIP) Program Assessment Tool," we describe use of a tool to assess and strengthen program planning and implementation processes using 19 criteria derived from best and promising practices literature. In this article, we describe use of a complementary Program Evidence Tool to identify, synthesize, and apply a range of evidence sources to strengthen the content of chronic disease prevention programming.The Program Evidence Tool adapts tools of evidence-based medicine to the unique contexts of community-based health promotion and chronic disease prevention. Knowledge management tools and a guided dialogue process known as an Evidence Forum enable community stakeholders to make appropriate use of evidence in diverse social, political, and structural contexts. Practical guidelines and worksheets direct users through 5 steps: 1) define an evidence question, 2) develop a search strategy, 3) collect and synthesize evidence, 4) interpret and adapt evidence, and 5) implement and evaluate. We describe the Program Evidence Tool's benefits, strengths, challenges, and what was learned from its application in 4 Ontario public health departments. The Program Evidence Tool contributes to the development and understanding of the complex use of evidence in community-based chronic disease prevention.

Indexed as

Program EvaluationChronic DiseaseEvidence-Based PracticeHealth PromotionHumans

Identifiers

PMID23721788
PMCPMC3675793

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.