Evidence map›Paper›PMID 31704159›Full record

ArticleJoint Commission journal on quality and patient safety2020

Using Electronic Health Records to Measure Quality Improvement Efforts: Findings from a Large Practice Facilitation Initiative.

David T Liss, Yaw A Peprah, Tiffany Brown, Jody D Ciolino, Kathryn Jackson, Abel N Kho, Linda Murakami, Theresa L Walunas, Stephen D Persell

Abstract read
In one paragraph

Article in Joint Commission journal on quality and patient safety, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Clinical data sharing improves quality measurement and patient safety.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  7. 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

9 authors.

David T Liss
Yaw A Peprah
Tiffany Brown
Jody D Ciolino
Kathryn Jackson
Abel N Kho
Linda Murakami
Theresa L Walunas
Stephen D Persell

Funding

Midwest Small Practice Care Transformation Research AllianceR18HS023921 · AHRQ · NORTHWESTERN UNIVERSITY AT CHICAGO · PI KHO, ABEL N. · 2015 to 2017
$14.5M
AHRQ HHS R18 HS023921
6 · The paper itself

Abstract

backgroundFederal incentives for electronic health record (EHR) use typically require quality measure reporting over calendar year or 90-day periods. However, required reporting periods may not align with time frames of real-world quality improvement (QI) efforts. This study described primary care practices' ability to obtain measures with reporting periods aligning with a large QI initiative.

methodsResearchers conducted a substudy of a randomized trial testing practice facilitation strategies for preventive cardiovascular care. Three quality measures (aspirin for ischemic vascular disease; blood pressure control for hypertension; smoking screening/cessation) were collected quarterly over one year. The primary outcome was a binary indicator of whether a practice facilitator obtained all three measures with "rolling 12-month" reporting periods (that is, the year preceding each study quarter).

resultsThe study included 107 practices, 63 (58.9%) of which met the primary outcome of obtaining all measures with rolling 12-month reporting periods. Smaller practices were less likely to meet the primary outcome (p < 0.001). Practices used 11 different EHRs, 3 of which were unable to consistently produce rolling 12-month measures; at 33 practices (30.8%) using these 3 EHRs, facilitators met a secondary outcome of obtaining prior calendar year and rolling 3-month measures. Facilitators reported barriers to data collection such as practices lacking optional EHR features, and EHRs' inability to produce reporting periods across two calendar years.

conclusionEHR vendors' compliance with federal reporting requirements is not necessarily sufficient to support real-world QI work. Improvements are needed in the flexibility and usability of EHRs' quality measurement functions, particularly for smaller practices.

Indexed as

Electronic Health RecordsHypertensionHumansPrimary Health CareQuality Improvement

Identifiers

PMID31704159
PMCPMC9884429

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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.