Evidence map›Paper›PMID 26111156›Full record

ArticlePreventing chronic disease2015

Promoting Evidence-Based Decision Making in a Local Health Department, Pueblo City-County, Colorado.

Anna K Hardy, Christine Nevin-Woods, Sylvia Proud, Ross C Brownson

Open access · diamondAbstract read
In one paragraph

Article in Preventing chronic disease, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 5% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
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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

4 authors at 3 institutions in 2 countries.

Anna K HardySaint Louis University, 1312 Carr Lane Ave, Education Union, Rm 110, St Louis, MO 63014. Email: hardyak@slu.edu.
Christine Nevin-WoodsPueblo City-County Health Department, Pueblo, Colorado.
Sylvia ProudPueblo City-County Health Department, Pueblo, Colorado.
Ross C BrownsonPrevention Research Center in St. Louis, Brown School, Washington University in St. Louis, Division of Public Health Sciences and Alvin J. Siteman Cancer Center, Washington University in St. Louis School of Medicine, St. Louis, Missouri.
Colorado State University Pueblo · USSaint Louis University · ESWashington University in St. Louis · US

Funding

Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
HPDPRC SIP 13-66U48DP001903 · DP · SAINT LOUIS UNIVERSITY · PI BAKER, ELIZABETH A · 2009 to 2013
$7.3M
Health Promotion and Disease Prevention Research Center*U48DP000060 · DP · SAINT LOUIS UNIVERSITY · PI BAKER, ELIZABETH A · 2004 to 2008
$6.1M
NCCDPHP CDC HHS U48 DP000060NCCDPHP CDC HHS U48/DP000060NCCDPHP CDC HHS U48 DP001903NCCDPHP CDC HHS U48/DP001903NIDDK NIH HHS P30 DK092950
6 · The paper itself

Abstract

backgroundEvidence-based decision making (EBDM) is an effective strategy for addressing population health needs. Assessing and reducing barriers to using EBDM in local health departments may improve practice and provide insight into disseminating EBDM principles among public health practitioners. COMMUNITY CONTEXT: Administrative leaders at the Pueblo City-County Health Department, Pueblo, Colorado, used a systematic approach for implementing EBDM. Research partners engaged staff to understand factors that increase or deter its use.

methodsA survey was distributed to staff members at baseline to identify gaps in administrative and individual practice of EBDM. In-depth interviews were also conducted with 11 randomly selected staff members. Results were shared with staff and administration, after which activities were implemented to improve application of EBDM. A follow up survey was administered 1 year after the initial assessment. OUTCOME: Survey data showed evidence of progress in engaging and educating staff members, and data showed improved attitudes toward EBDM (ie, several items showed significant improvement from baseline to follow-up). For example, staff members reported having the necessary skills to develop evidence-based interventions (73.9%), the ability to effectively communicate information on evidence-based strategies to policy makers (63.0%), access to current information on improving EBDM processes (65.2%), and a belief that evidence-based interventions are designed to be self-sustaining (43.5%).

interpretationWithin a local health department in which leaders have made EBDM a priority, addressing the culture and climate of the department may build EBDM. Future research may provide insight into tailoring EBDM within and across local health departments.

Indexed as

Decision MakingHealth Knowledge, Attitudes, PracticeLocal GovernmentPublic HealthStaff DevelopmentAdministrative PersonnelColoradoData Interpretation, StatisticalDiffusion of InnovationEvidence-Based PracticeFocus GroupsFollow-Up StudiesHealth Plan ImplementationHealth PromotionHealth Services Needs and DemandHumans

Identifiers

PMID26111156
PMCPMC4492218
OpenAlexW1822659916

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.