Evidence map›Paper›PMID 35041671›Full record

ArticlePloS one

An evidence-based, structured, expert approach to selecting essential indicators of primary care quality.

Sylvia J Hysong, Kelley Arredondo, Ashley M Hughes, Houston F Lester, Frederick L Oswald, Laura A Petersen, LeChauncy Woodard, Edward Post, Shelly DePeralta, Daniel R Murphy and 3 more

Abstract read
In one paragraph

Article in PloS one. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Observational
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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

13 authors.

Sylvia J HysongCenter for Innovations in Quality, Effectiveness, and Safety (IQuESt), Michael E. DeBakey VA Medical Center, Houston, Texas, United States of America.ORCID https://orcid.org/0000-0002-9063-5207
Kelley ArredondoCenter for Innovations in Quality, Effectiveness, and Safety (IQuESt), Michael E. DeBakey VA Medical Center, Houston, Texas, United States of America.ORCID https://orcid.org/0000-0001-6657-3379
Ashley M HughesDepartment of Biomedical and Health Information Sciences, University of Illinois at Chicago, Chicago, Illinois, United States of America.
Houston F LesterCenter for Innovations in Quality, Effectiveness, and Safety (IQuESt), Michael E. DeBakey VA Medical Center, Houston, Texas, United States of America.ORCID https://orcid.org/0000-0003-3961-6219
Frederick L OswaldDepartment of Psychology, Rice University, Houston, Texas, United States of America.ORCID https://orcid.org/0000-0002-7275-5408
Laura A PetersenCenter for Innovations in Quality, Effectiveness, and Safety (IQuESt), Michael E. DeBakey VA Medical Center, Houston, Texas, United States of America.
LeChauncy WoodardDepartment of Health Systems and Population Health Science, University of Houston College of Medicine, Houston, Texas, United States of America.
Edward PostVA HSR&D Center for Clinical Management Research, Ann Arbor, Michigan, United States of America.
Shelly DePeraltaVA Greater Los Angeles Healthcare System, Los Angeles, California, United States of America.
Daniel R MurphyCenter for Innovations in Quality, Effectiveness, and Safety (IQuESt), Michael E. DeBakey VA Medical Center, Houston, Texas, United States of America.
Jason McKnightDepartment of Primary Care and Population Health, Texas A&M Health Science Center, Bryan, Texas, United States of America.ORCID https://orcid.org/0000-0003-4853-5680
Karin NelsonVHA Primary Care Analytics Team, VA Puget Sound Healthcare System, Seattle, Washington, United States of America.
Paul HaidetPenn State Health West Campus Health and Wellness Center, Hershey, Pennsylvania, United States of America.

Funding

AHRQ HHS R01 HS025982
6 · The paper itself

Abstract

backgroundThe purpose of this article is to illustrate the application of an evidence-based, structured performance measurement methodology to identify, prioritize, and (when appropriate) generate new measures of health care quality, using primary care as a case example. Primary health care is central to the health care system and health of the American public; thus, ensuring high quality is essential. Due to its complexity, ensuring high-quality primary care requires measurement frameworks that can assess the quality of the infrastructure, workforce configurations, and processes available. This paper describes the use of the Productivity Measurement and Enhancement System (ProMES) to compile a targeted set of such measures, prioritized according to their contribution and value to primary care.

methodsWe adapted ProMES to select and rank existing primary care measures according to value to the primary care clinic. Nine subject matter experts (SMEs) consisting of clinicians, hospital leaders and national policymakers participated in facilitated expert elicitation sessions to identify objectives of performance, corresponding measures, and priority rankings.

resultsThe SMEs identified three fundamental objectives: access, patient-health care team partnerships, and technical quality. The SMEs also selected sixteen performance indicators from the 44 pre-vetted, currently existing measures from three different data sources for primary care. One indicator, Team 2-Day Post Discharge Contact Ratio, was selected as an indicator of both team partnerships and technical quality. Indicators were prioritized according to value using the contingency functions developed by the SMEs.

conclusionOur article provides an actionable guide to applying ProMES, which can be adapted to the needs of various industries, including measure selection and modification from existing data sources, and proposing new measures. Future work should address both logistical considerations (e.g., data capture, common data/programming language) and lingering measurement challenges, such as operationalizating measures to be meaningful and interpretable across health care settings.

Indexed as

Primary Health CareQuality Indicators, Health CareHumansQuality of Health Care

Identifiers

PMID35041671
PMCPMC8765671

What OpenQuestion holds

Textmetadata
LicenceCC0
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.