Evidence map›Paper›PMID 26227958›Full record

ArticleBMC health services research2015

Comparison of practice based research network based quality improvement technical assistance and evaluation to other ongoing quality improvement efforts for changes in agency culture.

William C Livingood, Angela H Peden, Gulzar H Shah, Nandi A Marshall, Ketty M Gonzalez, Russell B Toal, Dayna S Alexander, Alesha R Wright, Lynn D Woodhouse

Abstract read
In one paragraph

Article in BMC health services research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

9 authors.

William C LivingoodCenter for Health Equity & Quality Research, University of Florida College of Medicine-Jacksonville, 580 West 8th St, Tower II, Suite 6015, Jacksonville, FL, 32082, USA. William.Livingood@jax.ufl.edu.
Angela H PedenJiann Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA. apeden@georgiasouthern.edu.
Gulzar H ShahJiann Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA. gshah@georgiasouthern.edu.
Nandi A MarshallDepartment of Health Sciences, Armstrong State University, Savannah, GA, USA. nandi.marshall@armstrong.edu.
Ketty M GonzalezEast Central Health District (retired), District 6, Augusta, GA, USA.
Russell B ToalJiann Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA. rtoaluncguy@gmail.com.
Dayna S AlexanderDivision of Pharmaceutical Outcomes & Policy, UNC Eshelman School of Pharmacy, Asheville, NC, USA. dsalexander@unc.edu.
Alesha R WrightJiann Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA. aw06670@georgiasouthern.edu.
Lynn D WoodhouseCenter for Health Equity & Quality Research, University of Florida College of Medicine-Jacksonville, 580 West 8th St, Tower II, Suite 6015, Jacksonville, FL, 32082, USA. Carolyn.Woodhouse@jax.ufl.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPublic health agencies in the USA are increasingly challenged to adopt Quality Improvement (QI) strategies to enhance performance. Many of the functional and structural barriers to effective use of QI can be found in the organizational culture of public health agencies. The purpose of this study was to assess the impact of public health practice based research network (PBRN) evaluation and technical assistance for QI interventions on the organizational culture of public health agencies in Georgia, USA.

methodsAn online survey of key informants in Georgia's districts and county health departments was used to compare perceptions of characteristics of organizational QI culture between PBRN supported QI districts and non-PBRN supported districts before and after the QI interventions. The primary outcomes of concern were number and percentage of reported increases in characteristics of QI culture as measured by key informant responses to items assessing organizational QI practices from a validated instrument on QI Collaboratives. Survey results were analyzed using Multi-level Mixed Effects Logistic Model, which accounts for clustering/nesting.

resultsIncreases in QI organizational culture were consistent for all 10- items on a QI organizational culture survey related to: leadership support, use of data, on-going QI, and team collaboration. Statistically significant odds ratios were calculated for differences in increased QI organizational culture between PBRN-QI supported districts compared to Non-PBRN supported districts for 5 of the 10 items, after adjusting for District clustering of county health departments.

conclusionsAgency culture, considered by many QI experts as the main goal of QI, is different than use of specific QI methods, such as Plan-Do-Study-Act (PDSA) cycles or root-cause analyses. The specific use of a QI method does not necessarily reflect culture change. Attempts to measure QI culture are newly emerging. This study documented significant improvements in characteristics of organizational culture and demonstrated the potential of PBRNs to support agency QI activities.

Indexed as

Community NetworksOrganizational CultureResearchGeorgiaHumansLeadershipPublic Health PracticeQuality ImprovementSurveys and Questionnaires

Identifiers

PMID26227958
PMCPMC4521478

What OpenQuestion holds

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LicenceCC BY
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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.