Evidence map›Paper›PMID 24926709›Full record

ArticleMedical care2014

Are comparisons of patient experiences across hospitals fair? A study in Veterans Health Administration hospitals.

Paul D Cleary, Mark Meterko, Steven M Wright, Alan M Zaslavsky

Abstract read
In one paragraph

Article in Medical care, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Development of a core set of outcome measures for OAB treatment.International urogynecology journal · 2017
    Article
  5. User-centered design to improve clinical decision support in primary care.International journal of medical informatics · 2017
    Article
  6. Observational
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.

Paul D Cleary*Yale School of Public Health, Yale School of Medicine, New Haven, CT †HSR&D Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System (152-M) ‡Department of Health Policy & Management, Boston University School of Public Health, Boston, MA §VA Office of Analytics and Business Intelligence, Washington, DC ∥Department of Health Care Policy, Harvard Medical School, Boston, MA.
Mark Meterko
Steven M Wright
Alan M Zaslavsky

Funding

Consumer Assessment of Healthcare Providers and Systems CAHPS VU18HS016978 · AHRQ · YALE UNIVERSITY · PI CLEARY, PAUL D · 2007 to 2021
$20.3M
AHRQ HHS U18 HS016978AHRQ HHS U18HS016978HSRD VA IIR 07-244
6 · The paper itself

Abstract

backgroundSurveys are increasingly used to assess patient experiences with health care. Comparisons of hospital scores based on patient experience surveys should be adjusted for patient characteristics that might affect survey results. Such characteristics are commonly drawn from patient surveys that collect little, if any, clinical information. Consequently some hospitals, especially those treating particularly complex patients, have been concerned that standard adjustment methods do not adequately reflect the challenges of treating their patients.

objectivesTo compare scores for different types of hospitals after making adjustments using only survey-reported patient characteristics and using more complete clinical and hospital information. RESEARCH

designWe used clinical and survey data from a national sample of 1858 veterans hospitalized for an initial acute myocardial infarction (AMI) in a Department of Veterans Affairs (VA) medical center during fiscal years 2003 and 2004. We used VA administrative data to characterize hospitals. The survey asked patients about their experiences with hospital care. The clinical data included 14 measures abstracted from medical records that are predictive of survival after an AMI.

resultsComparisons of scores across hospitals adjusted only for patient-reported health status and sociodemographic characteristics were similar to those that also adjusted for patient clinical characteristics; the Spearman rank-order correlations between the 2 sets of adjusted scores were >0.97 across 9 dimensions of inpatient experience.

conclusionsThis study did not support concerns that measures of patient care experiences are unfair because commonly used models do not adjust adequately for potentially confounding patient clinical characteristics.

Indexed as

Patient SatisfactionQuality of Health CareResidence CharacteristicsSurveys and QuestionnairesAgedAttitude of Health PersonnelConfounding Factors, EpidemiologicContinuity of Patient CareFemaleHealth Services AccessibilityHealth Services ResearchHospitals, VeteransHumansMaleMiddle AgedMyocardial Infarction

Identifiers

PMID24926709
PMCPMC4682878

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.