Evidence map›Paper›PMID 14596393›Full record

ArticleHealth services research2003

Case-mix adjusting performance measures in a veteran population: pharmacy- and diagnosis-based approaches.

Chuan-Fen Liu, Anne E Sales, Nancy D Sharp, Paul Fishman, Kevin L Sloan, Jeff Todd-Stenberg, W Paul Nichol, Amy K Rosen, Susan Loveland

Abstract readComparative Study
In one paragraph

Article in Health services research, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Predicting 30-day all-cause hospital readmissions.Health care management science · 2013
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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.

Chuan-Fen LiuVA Puget Sound Health Care System, Seattle, WA 98108, USA.
Anne E Sales
Nancy D Sharp
Paul Fishman
Kevin L Sloan
Jeff Todd-Stenberg
W Paul Nichol
Amy K Rosen
Susan Loveland

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare the rankings for health care utilization performance measures at the facility level in a Veterans Health Administration (VHA) health care delivery network using pharmacy- and diagnosis-based case-mix adjustment measures. DATA SOURCES/STUDY

settingThe study included veterans who used inpatient or outpatient services in Veterans Integrated Service Network (VISN) 20 during fiscal year 1998 (October 1997 to September 1998; N = 126,076). Utilization and pharmacy data were extracted from VHA national databases and the VISN 20 data warehouse. STUDY

designWe estimated concurrent regression models using pharmacy or diagnosis information in the base year (FY1998) to predict health service utilization in the same year. Utilization measures included bed days of care for inpatient care and provider visits for outpatient care. PRINCIPAL

findingsRankings of predicted utilization measures across facilities vary by case-mix adjustment measure. There is greater consistency within the diagnosis-based models than between the diagnosis- and pharmacy-based models. The eight facilities were ranked differently by the diagnosis- and pharmacy-based models.

conclusionsChoice of case-mix adjustment measure affects rankings of facilities on performance measures, raising concerns about the validity of profiling practices. Differences in rankings may reflect differences in comparability of data capture across facilities between pharmacy and diagnosis data sources, and unstable estimates due to small numbers of patients in a facility.

Indexed as

Drug Utilization ReviewAgedDiagnosis-Related GroupsDrug PrescriptionsFemaleHealth Services ResearchHospitals, VeteransHumansMaleMiddle AgedRegression AnalysisRisk AdjustmentVeterans

Identifiers

PMID14596393
PMCPMC1360949

What OpenQuestion holds

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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.