Evidence map›Paper›PMID 35243629›Full record

ArticleHealth services research2022

Aligning quality improvement efforts and policy goals in a national integrated health system.

Melissa Z Braganza, Elsa Pearson, Cecille Joan Avila, Dave Zlowe, John Øvretveit, Amy M Kilbourne

Open access · hybridAbstract read
In one paragraph

Article in Health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
7.8field-weighted citation impact, top 2% 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

18 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Digital health equity frameworks and key concepts: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Grading Evidence to Support Legislative and Budget Proposals-Veterans Health Administration's Key to Implementing the Evidence Act.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2023
    Article
  16. Article
  17. Translating research into policy and action.Health services research · 2022
    Article
  18. 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

6 authors at 3 institutions in 2 countries.

Melissa Z BraganzaQuality Enhancement Research Initiative, Health Services Research and Development, Veterans Health Administration, US Department of Veterans Affairs, Washington, District of Columbia, USA.ORCID 0000-0003-2669-7478
Elsa PearsonPartnered Evidence-based Policy Resource Center, Veterans Health Administration, US Department of Veterans Affairs, Boston, Massachusetts, USA.ORCID 0000-0002-4223-1478
Cecille Joan AvilaPartnered Evidence-based Policy Resource Center, Veterans Health Administration, US Department of Veterans Affairs, Boston, Massachusetts, USA.
Dave ZloweOffice of Enterprise Integration, US Department of Veterans Affairs, Washington, District of Columbia, USA.
John ØvretveitC7 Department of Learning, Informatics, Management and Ethics, Karolinska Institute Medical University Stockholm, and Research and Development Officer Region Stockholm Health Care, Solna, Sweden.
Amy M KilbourneQuality Enhancement Research Initiative, Health Services Research and Development, Veterans Health Administration, US Department of Veterans Affairs, Washington, District of Columbia, USA.
United States Department of Veterans Affairs · USBoston University · USKarolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo describe the design and impact of a systematic, enterprise-wide process for engaging US Department of Veterans Affairs (VA) leadership in prioritizing scarce implementation and evaluation resources. DATA SOURCES: From 2017 to 2021, the VA Quality Enhancement Research Initiative (QUERI) identified priorities from local, regional, and national leaders through qualitative discussions and a national survey and tracked impacts via reports generated from competitively funded initiatives addressing these priorities. STUDY

designGuided by the Learning Health System framework and QUERI Implementation Roadmap, QUERI engaged stakeholders to nominate and rank-order priorities, peer-reviewed and funded initiatives to scale up and spread evidence-based practices (EBPs) using theory-based implementation strategies, and evaluated the impact of these initiatives using the QUERI Impact Framework. DATA COLLECTION/EXTRACTION

methodsQUERI collected priority nominations through qualitative discussions and a web-based survey, and live voting was used to rank-order priorities. QUERI-funded teams regularly submitted progress reports describing the key activities, findings, and impacts of the quality improvement (QI) initiatives using a standardized form created in the VA Research Electronic Data Capture (REDCap). PRINCIPAL

findingsQUERI launched five QI initiatives to address priorities selected by VA leadership. In partnership with 28 health system leaders, these initiatives are implementing 10 EBPs across 53 sites, supporting 1055 VA employees in delivering evidence-based care. The success of these initiatives led to an expansion of QUERI's process to address 2021 VA leadership priorities: virtual care, health disparities, delayed or suppressed care due to COVID-19, employee burnout, long-term and home care options, and quality and cost of community care.

conclusionsQUERI, a unique program embedded in a national integrated health system, deployed a novel approach to inform policy making and enhance the real-world impact of research through prioritization of limited resources, rigorous peer-review, and assessment of impacts on the health system, employees, and Veterans.

Indexed as

COVID-19Delivery of Health Care, IntegratedGoalsHumansPolicyQuality ImprovementUnited StatesUnited States Department of Veterans Affairsevidence-based policyevidence-based practiceimplementation scienceknowledge translationLearning Health Systemquality improvementveterans

Identifiers

PMID35243629
PMCPMC9108213
OpenAlexW4214826578

What OpenQuestion holds

Textmetadata
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.