Evidence map›Paper›PMID 35679174›Full record

ArticleMedical care2022

Is Bigger Better?: A Closer Look at Small Health Systems in the United States.

Tisamarie B Sherry, Cheryl L Damberg, Maria DeYoreo, Andy Bogart, Denis Agniel, M Susan Ridgely, José J Escarce

Abstract read
In one paragraph

Article in Medical care, 2022. 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.

  1. Article
  2. Article
  3. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Tisamarie B SherryRAND Corporation, Arlington, VA.
Cheryl L DambergRAND Corporation, Santa Monica.
Maria DeYoreoRAND Corporation, Santa Monica.
Andy BogartRAND Corporation, Santa Monica.
Denis AgnielRAND Corporation, Santa Monica.
M Susan RidgelyRAND Corporation, Santa Monica.
José J EscarceDavid Geffen School of Medicine at UCLA and UCLA Fielding School of Public Health, Los Angeles, CA.

Funding

Understanding Health Care Delivery Systems PCOR Adoption and System PerformanceU19HS024067 · AHRQ · RAND CORPORATION · PI DAMBERG, CHERYL · 2015 to 2019
$17.4M
AHRQ HHS U19 HS024067
6 · The paper itself

Abstract

backgroundResearch on US health systems has focused on large systems with at least 50 physicians. Little is known about small systems.

objectivesCompare the characteristics, quality, and costs of care between small and large health systems. RESEARCH

designRetrospective, repeated cross-sectional analysis. SUBJECTS: Between 468 and 479 large health systems, and between 608 and 641 small systems serving fee-for-service Medicare beneficiaries, yearly between 2013 and 2017. MEASURES: We compared organizational, provider and beneficiary characteristics of large and small systems, and their geographic distribution, using multiple Medicare and Internal Revenue Service administrative data sources. We used mixed-effects regression models to estimate differences between small and large systems in claims-based Healthcare Effectiveness Data and Information Set (HEDIS) quality measures and HealthPartners' Total Cost of Care measure using a 100% sample of Medicare fee-for-service claims. We fit linear spline models to examine the relationship between the number of a system's affiliated physicians and its quality and costs.

resultsThe number of both small and large systems increased from 2013 to 2017. Small systems had a larger share of practice sites (43.1% vs. 11.7% for large systems in 2017) and beneficiaries (51.4% vs. 15.5% for large systems in 2017) in rural areas or small towns. Quality performance was lower among small systems than large systems (-0.52 SDs of a composite quality measure) and increased with system size up to ∼75 physicians. There was no difference in total costs of care.

conclusionsSmall systems are a growing source of care for rural Medicare populations, but their quality performance lags behind large systems. Future studies should examine the mechanisms responsible for quality differences.

Indexed as

Fee-for-Service PlansMedicareAgedCross-Sectional StudiesDelivery of Health CareHumansRetrospective StudiesUnited States

Identifiers

PMID35679174
PMCPMC9186448

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Registered trials

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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.