Evidence map›Paper›PMID 25298815›Full record

ArticleApplied clinical informatics2014

Diabetes and hypertension quality measurement in four safety-net sites: lessons learned after implementation of the same commercial electronic health record.

R Benkert, P Dennehy, J White, A Hamilton, C Tanner, J M Pohl

Abstract read
In one paragraph

Article in Applied clinical informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 2017 National Standards for Diabetes Self-Management Education and Support.Diabetes spectrum : a publication of the American Diabetes Association · 2017
    Article
  4. Article
  5. 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.

R BenkertWayne State University , Nursing, Detroit, Michigan, United States.
P DennehyGLIDE , San Francisco, California, United States.
J WhiteMichigan Public Health Institute , Center for Data Management and Translational Research, Okemos, Michigan, United States.
A HamiltonAlliance of Chicago Community Health Services , Clinical Informatics, Chicago, Illinois, United States.
C TannerMichigan Public Health Institute , Center for Data Management and Translational Research, Okemos, Michigan, United States.
J M PohlThe University of Michigan , School of Nursing, Ann Arbor, Michigan, United States.

Funding

A Partnership for Clinician EHR Use and Quality of CareR18HS017191 · AHRQ · MICHIGAN PUBLIC HEALTH INSTITUTE · PI POHL, JOANNE M. · 2007 to 2009
$1.2M
AHRQ HHS R18 HS017191AHRQ HHS R18 HS17191-03
6 · The paper itself

Abstract

backgroundIn this new era after the Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009, the literature on lessons learned with electronic health record (EHR) implementation needs to be revisited.

objectivesOur objective was to describe what implementation of a commercially available EHR with built-in quality query algorithms showed us about our care for diabetes and hypertension populations in four safety net clinics, specifically feasibility of data retrieval, measurements over time, quality of data, and how our teams used this data.

methodsA cross-sectional study was conducted from October 2008 to October 2012 in four safety-net clinics located in the Midwest and Western United States. A data warehouse that stores data from across the U.S was utilized for data extraction from patients with diabetes or hypertension diagnoses and at least two office visits per year. Standard quality measures were collected over a period of two to four years. All sites were engaged in a partnership model with the IT staff and a shared learning process to enhance the use of the quality metrics.

resultsWhile use of the algorithms was feasible across sites, challenges occurred when attempting to use the query results for research purposes. There was wide variation of both process and outcome results by individual centers. Composite calculations balanced out the differences seen in the individual measures. Despite using consistent quality definitions, the differences across centers had an impact on numerators and denominators. All sites agreed to a partnership model of EHR implementation, and each center utilized the available resources of the partnership for Center-specific quality initiatives.

conclusionsUtilizing a shared EHR, a Regional Extension Center-like partnership model, and similar quality query algorithms allowed safety-net clinics to benchmark and improve the quality of care across differing patient populations and health care delivery models.

Indexed as

Quality Assurance, Health CareDiabetes MellitusElectronic Health RecordsGuideline AdherenceHumansHypertensionMedically Underserved AreaPrevalenceSafety-net ProvidersUnited StatesElectronic health records and systemspatient with chronic illness or special needsperformance improvementsafety net clinic

Identifiers

PMID25298815
PMCPMC4187092

What OpenQuestion holds

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Registered trials

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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.