Evidence map›Paper›PMID 32549066›Full record

ReviewThe American journal of managed care2020

FASStR: a framework for ensuring high-quality operational metrics in health care.

Elham Torabi, Tugba Cayirli, Craig M Froehle, Kenneth J Klassen, Michael Magazine, Denise L White, Michael J Ward

Abstract readReview
In one paragraph

Review in The American journal of managed care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. QI/PI: POSNA Safe Surgery Program (PSSP)-First-Year Results Implementing Quality Metrics.Journal of the Pediatric Orthopaedic Society of North America · 2023
    Article
  3. Review
  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

7 authors.

Elham Torabi
Tugba Cayirli
Craig M Froehle
Kenneth J Klassen
Michael Magazine
Denise L White
Michael J WardDepartment of Emergency Medicine, Vanderbilt University Medical Center, 1313 21st Ave S, 703 Oxford House, Nashville, TN 37232. Email: michael.j.ward@vumc.org.

Funding

Enhancing Inter-Facility Transfer for Patients with Acute Myocardial InfarctionK23HL127130 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI WARD, MICHAEL J. · 2016 to 2019
$642k
NHLBI NIH HHS K23 HL127130
6 · The paper itself

Abstract

objectivesPoorly defined measurement impairs interinstitutional comparison, interpretation of results, and process improvement in health care operations. We sought to develop a unifying framework that could be used by administrators, practitioners, and investigators to help define and document operational performance measures that are comparable and reproducible. STUDY

designRetrospective analysis.

methodsHealth care operations and clinical investigators used an iterative process consisting of (1) literature review, (2) expert assessment and collaborative design, and (3) end-user feedback. We sampled the literature from the medical, health systems research, and health care operations (business and engineering) disciplines to assemble a representative sample of studies in which outpatient health care performance metrics were used to describe the primary or secondary outcome of the research.

resultsWe identified 2 primary deficiencies in outpatient performance metric definitions: incompletion and inconsistency. From our review of performance metrics, we propose the FASStR framework for the Focus, Activity, Statistic, Scale type, and Reference dimensions of a performance metric. The FASStR framework is a method by which performance metrics can be developed and examined from a multidimensional perspective to evaluate their comprehensiveness and clarity. The framework was tested and revised in an iterative process with both practitioners and investigators.

conclusionsThe FASStR framework can guide the design, development, and implementation of operational metrics in outpatient health care settings. Further, this framework can assist investigators in the evaluation of the metrics that they are using. Overall, the FASStR framework can result in clearer, more consistent use and evaluation of outpatient performance metrics.

Indexed as

Data AccuracyBenchmarkingDelivery of Health CareEfficiency, OrganizationalForecastingHumansQuality Indicators, Health CareReproducibility of ResultsRetrospective StudiesUnited States

Identifiers

PMID32549066
PMCPMC7341863

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.