Evidence map›Paper›PMID 31390033›Full record

ArticleJAMA network open2019

Primary Care Practices' Ability to Report Electronic Clinical Quality Measures in the EvidenceNOW Southwest Initiative to Improve Heart Health.

Kyle E Knierim, Tristen L Hall, L Miriam Dickinson, Donald E Nease, Dionisia R de la Cerda, Douglas Fernald, Molly J Bleecker, Robert L Rhyne, W Perry Dickinson

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 7% 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

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

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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 at 2 institutions in 1 country.

Kyle E KnierimUniversity of Colorado School of Medicine, Department of Family Medicine, Aurora.
Tristen L HallUniversity of Colorado School of Medicine, Department of Family Medicine, Aurora.
L Miriam DickinsonUniversity of Colorado School of Medicine, Department of Family Medicine, Aurora.
Donald E NeaseUniversity of Colorado School of Medicine, Department of Family Medicine, Aurora.
Dionisia R de la CerdaUniversity of Colorado School of Medicine, Department of Family Medicine, Aurora.
Douglas FernaldUniversity of Colorado School of Medicine, Department of Family Medicine, Aurora.
Molly J BleeckerUniversity of New Mexico School of Medicine, Department of Family and Community Medicine, Albuquerque.
Robert L RhyneUniversity of New Mexico School of Medicine, Department of Family and Community Medicine, Albuquerque.
W Perry DickinsonUniversity of Colorado School of Medicine, Department of Family Medicine, Aurora.
University of Colorado Denver · USUniversity of New Mexico · US

Funding

Southwest Health Extension Partnership to Enhance Research Dissemination (SHEPERD)R18HS023904 · AHRQ · UNIVERSITY OF COLORADO DENVER · PI DICKINSON, WALTER PERRY · 2015 to 2017
$14.9M
AHRQ HHS R18 HS023904
6 · The paper itself

Abstract

Importance: The capability and capacity of primary care practices to report electronic clinical quality measures (eCQMs) are questionable. Objective: To determine how quickly primary care practices can report eCQMs and the practice characteristics associated with faster reporting. Design, Setting, and Participants: This quality improvement study examined an initiative (EvidenceNOW Southwest) to enhance primary care practices' ability to adopt evidence-based cardiovascular care approaches: aspirin prescribing, blood pressure control, cholesterol management, and smoking cessation (ABCS). A total of 211 primary care practices in Colorado and New Mexico participating in EvidenceNOW Southwest between February 2015 and December 2017 were included. Interventions: Practices were instructed on eCQM specifications that could be produced by an electronic health record, a registry, or a third-party platform. Practices received 9 months of support from a practice facilitator, a clinical health information technology advisor, and the research team. Practices were instructed to report their baseline ABCS eCQMs as soon as possible. Main Outcomes and Measures: The main outcome was time to report the ABCS eCQMs. Cox proportional hazards models were used to examine practice characteristics associated with time to reporting. Results: Practices were predominantly clinician owned (48%) and in urban or suburban areas (71%). Practices required a median (interquartile range) of 8.2 (4.6-11.9) months to report any ABCS eCQM. Time to report differed by eCQM: practices reported blood pressure management the fastest (median [interquartile range], 7.8 [3.5-10.4] months) and cholesterol management the slowest (median [interquartile range], 10.5 [6.6 to >12] months) (log-rank P < .001). In multivariable models, the blood pressure eCQM was reported more quickly by practices that participated in accountable care organizations (hazard ratio [HR], 1.88; 95% CI, 1.40-2.53; P < .001) or participated in a quality demonstration program (HR, 1.58; 95% CI, 1.14-2.18; P = .006). The cholesterol eCQM was reported more quickly by practices that used clinical guidelines for cardiovascular disease management (HR, 1.35; 95% CI, 1.18-1.53; P < .001). Compared with Federally Qualified Health Centers, hospital-owned practices had greater ability to report blood pressure eCQMs (HR, 2.66; 95% CI, 95% CI, 1.73-4.09; P < .001), and clinician-owned practices had less ability to report cholesterol eCQMs (HR, 0.52; 95% CI, 0.35-0.76; P < .001). Conclusions and Relevance: In this study, time to report eCQMs varied by measure and practice type, with very few practices reporting quickly. Practices took longer to report a new cholesterol measure than other measures. Programs that require eCQM reporting should consider the time and effort practices must exert to produce reports. Practices may benefit from additional support to succeed in new programs that require eCQM reporting.

Indexed as

Electronic Health RecordsAdultAgedAged, 80 and overCardiovascular DiseasesColoradoDelivery of Health CareFemaleHumansMaleMiddle AgedNew MexicoPrimary Health CareProportional Hazards ModelsQuality ImprovementQuality Indicators, Health Care

Identifiers

PMID31390033
PMCPMC6687038
OpenAlexW2964826654

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.