Evidence map›Paper›PMID 31319830›Full record

ArticleBMC health services research2019

How are medical groups identified as high-performing? The effect of different approaches to classification of performance.

Sangeeta C Ahluwalia, Cheryl L Damberg, Ann Haas, Paul G Shekelle

Abstract read
In one paragraph

Article in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

4 authors.

Sangeeta C AhluwaliaRAND Corporation, 1776 Main Street, Santa Monica, CA, 91403, USA. sahluwal@rand.org.ORCID http://orcid.org/0000-0003-0152-0369
Cheryl L DambergRAND Corporation, 1776 Main Street, Santa Monica, CA, 91403, USA.
Ann HaasRAND Corporation, Pittsburgh, PA, USA.
Paul G ShekelleRAND Corporation, 1776 Main Street, Santa Monica, CA, 91403, USA.

Funding

AHRQ HHS 1U19HS024067-01AHRQ HHS U19 HS024067
6 · The paper itself

Abstract

backgroundPayers and policy makers across the international healthcare market are increasingly using publicly available summary measures to designate providers as "high-performing", but no consistently-applied approach exists to identifying high performers. This paper uses publicly available data to examine how different classification approaches influence which providers are designated as "high-performers".

methodsWe conducted a quantitative analysis of cross-sectional publicly-available performance data in the U.S. We used 2014 Minnesota Community Measurement data from 58 medical groups to classify performance across 4 domains: quality (two process measures of cancer screening and 2 composite measures of chronic disease management), total cost of care, access (a composite CAHPS measure), and patient experience (3 CAHPS measures). We classified medical groups based on performance using either relative thresholds or absolute values of performance on all included measures.

resultsUsing relative thresholds, none of the 58 medical groups achieved performance in the top 25% or 35% in all 4 performance domains. A relative threshold of 40% was needed before one group was classified as high-performing in all 4 domains. Using absolute threshold values, two medical groups were classified as high-performing across all 4 domains. In both approaches, designating "high performance" using fewer domains led to more groups designated as high-performers, though there was little to moderate concordance across identified "high-performing" groups.

conclusionsClassification of medical groups as high performing is sensitive to the domains of performance included, the classification approach, and choice of threshold. With increasing focus on achieving high performance in healthcare delivery, the absence of a consistently-applied approach to identify high performers impedes efforts to reliably compare, select and reward high-performing providers.

Indexed as

Group PracticeQuality of Health CareCross-Sectional StudiesEmployee Performance AppraisalHealth Services ResearchHumansMinnesotaHealth systemPerformance measurementQuality

Identifiers

PMID31319830
PMCPMC6639957

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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.