Evidence map›Paper›PMID 28369814›Full record

ArticleHealth services research2017

Development and Validation of the Agency for Healthcare Research and Quality Measures of Potentially Preventable Emergency Department (ED) Visits: The ED Prevention Quality Indicators for General Health Conditions.

Sheryl Davies, Ellen Schultz, Maria Raven, Nancy Ewen Wang, Carol L Stocks, Mucio Kit Delgado, Kathryn M McDonald

Abstract read
In one paragraph

Article in Health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
4.1field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  10. Comparing definitions of a pediatric emergency department.Journal of the American College of Emergency Physicians open · 2021
    Article
  11. Clarifying the concept of avoidable emergency department attendance.Journal of health services research & policy · 2021
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Sheryl DaviesCenter for Primary Care and Outcomes Research, Stanford University, Stanford, CA.
Ellen SchultzCenter for Health Policy/Center for Primary Care and Outcomes Research, Stanford University, Stanford, CA.
Maria RavenDepartment of Emergency Medicine, University of California San Francisco, San Francisco, CA.
Nancy Ewen WangDepartment of Emergency Medicine, Stanford University School of Medicine, Stanford, CA.
Carol L StocksDivision of Healthcare Delivery Data, Measures, and Research, Center for Delivery, Organization and Markets (CDOM), Agency for Healthcare Research and Quality, Rockville, MD.ORCID 0000-0003-3440-3193
Mucio Kit DelgadoDepartment of Emergency Medicine, Stanford University School of Medicine, Stanford, CA.
Kathryn M McDonaldCenter for Health Policy/Center for Primary Care and Outcomes Research, Stanford University, Stanford, CA.
Stanford University · USAgency for Healthcare Research and Quality · USUniversity of California, San Francisco · US

Funding

Enabling Medical Research Growth in Emergency MedicineK12HL109009 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI KIMMEL, STEPHEN E. · 2011 to 2015
$3.4M
AHRQ HHS HHSA-290-2012000031NHLBI NIH HHS K12 HL109009
6 · The paper itself

Abstract

objectiveTo develop and validate rates of potentially preventable emergency department (ED) visits as indicators of community health. DATA SOURCES: Agency for Healthcare Research and Quality, Healthcare Cost and Utilization Project 2008-2010 State Inpatient Databases and State Emergency Department Databases. STUDY

designEmpirical analyses and structured panel reviews.

methodsPanels of 14-17 clinicians and end users evaluated a set of ED Prevention Quality Indicators (PQIs) using a Modified Delphi process. Empirical analyses included assessing variation in ED PQI rates across counties and sensitivity of those rates to county-level poverty, uninsurance, and density of primary care physicians (PCPs). PRINCIPAL

findingsED PQI rates varied widely across U.S. communities. Indicator rates were significantly associated with county-level poverty, median income, Medicaid insurance, and levels of uninsurance. A few indicators were significantly associated with PCP density, with higher rates in areas with greater density. A clinical and an end-user panel separately rated the indicators as having strong face validity for most uses evaluated.

conclusionsThe ED PQIs have undergone initial validation as indicators of community health with potential for use in public reporting, population health improvement, and research.

Indexed as

Public HealthAcute DiseaseAge FactorsAsthmaBack PainChronic DiseaseEmergency Service, HospitalHealth Services ResearchHumansMedicaidMedically UninsuredPovertyQuality Indicators, Health CareSex FactorsStomatognathic DiseasesUnited Statesambulatory care sensitive conditionscommunity healthEmergency departmentquality indicators

Identifiers

PMID28369814
PMCPMC5583364
OpenAlexW2600405460

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.