Evidence map›Paper›PMID 32675274›Full record

ArticleJournal of the American Board of Family Medicine : JABFM

The Ability of Practices to Report Clinical Quality Measures: More Evidence of the Size Paradox?

Michael L Parchman, Melissa L Anderson, Robert B Penfold, Elena Kuo, David A Dorr

Abstract read
In one paragraph

Article in Journal of the American Board of Family Medicine : JABFM. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Michael L ParchmanFrom Kaiser Permanente of Washington Health Research Institute, Seattle WA (MLP, MLA, RBP, EA); Department of Medicine, Oregon Health Sciences University, Portland OR (DAR). parchman.m@ghc.org.
Melissa L AndersonFrom Kaiser Permanente of Washington Health Research Institute, Seattle WA (MLP, MLA, RBP, EA); Department of Medicine, Oregon Health Sciences University, Portland OR (DAR).
Robert B PenfoldFrom Kaiser Permanente of Washington Health Research Institute, Seattle WA (MLP, MLA, RBP, EA); Department of Medicine, Oregon Health Sciences University, Portland OR (DAR).
Elena KuoFrom Kaiser Permanente of Washington Health Research Institute, Seattle WA (MLP, MLA, RBP, EA); Department of Medicine, Oregon Health Sciences University, Portland OR (DAR).
David A DorrFrom Kaiser Permanente of Washington Health Research Institute, Seattle WA (MLP, MLA, RBP, EA); Department of Medicine, Oregon Health Sciences University, Portland OR (DAR).

Funding

Transform Dissemination and Implementation Science in CTSA ProgramsUL1TR002319 · NCATS · UNIVERSITY OF WASHINGTON · PI John K. Amory · 2017 to 2026
$100.0M
The Northwest Coalition for Primary Care Practice SupportR18HS023908 · AHRQ · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI PARCHMAN, MICHAEL L · 2015 to 2017
$13.3M
AHRQ HHS R18 HS023908NCATS NIH HHS UL1 TR002319
6 · The paper itself

Abstract

purposeTo assess whether primary care practices with and without support from a larger organization differ in their ability to produce timely reports on cardiovascular disease quality measures.

backgroundAlthough many primary care practices are now part of larger organizations, it is not clear whether such a shift will improve the ability of those who work in these primary care settings to easily access and use their own data for improvement.

methodsSmaller primary care practices were enrolled in a trial of external practice support to build quality improvement (QI) capacity. A request for clinical quality measure (eCQM) data were sent to each practice and study outcomes were defined based on the date on which practices first submitted valid data for at least 1 of the 3 measures. A practice survey completed by a clinic manager captured practice characteristics, including the presence of QI support from a larger organization.

resultsOf the 209 enrolled practices, 205 had complete data for analysis. Practices without central QI support had higher rates of eCQM submission at 30 days (38% vs 20%) and 60 days, (63% vs 48%) than practices with central QI support. Practices with central QI support took longer to submit data (median, 57 days) compared with practices without centralized support (median, 40 days) although this difference was not significant.

conclusionThe ability of smaller practices without centralized QI support to report their eCQMs more quickly may have implications for their subsequent ability to improve these measures.

Indexed as

Cardiovascular DiseasesQuality ImprovementHumansPrimary Health CareSurveys and QuestionnairesElectronic Health RecordsHealth MetricsPrimary Health CareQuality ImprovementSurveys and Questionnaires

Identifiers

PMID32675274
PMCPMC7453756

What OpenQuestion holds

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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.