Evidence map›Paper›PMID 27324087›Full record

ArticleHealth services research2017

Hospital Quality Reporting in the United States: Does Report Card Design and Incorporation of Patient Narrative Comments Affect Hospital Choice?

Martin Emmert, Mark Schlesinger

Abstract read
In one paragraph

Article in Health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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

2 authors.

Martin EmmertDepartment of Health Policy and Management, Yale University School of Public Health, New Haven, CT.ORCID 0000-0002-0154-6641
Mark SchlesingerDepartment of Health Policy and Management, Yale University School of Public Health, New Haven, CT.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the impact of hospital report card design and incorporation of patient narrative comments on consumers' choices of hospitals. DATA SOURCES: Primary data collected from an online survey with 1,350 respondents in February, 2015. STUDY

designA randomized 2 (narrative comments: yes, no) × 3 (design: representation of clinical performance in textual, star, numerical formats) between-subject online-based cross-sectional experiment. PRINCIPAL

findingsIn 51 percent of all cases, respondents selected the hospital with the best clinical results. Report cards with a numerical design induced choices more focused on clinical ratings (56.0 percent chose the highest rated hospital) than those with textual information (48.1 percent) or star ratings (47.3 percent) (p < .001). Report cards without narrative comments (49.7 percent) and with narratives (51.4 percent) were not associated with significant difference in selecting top-rated clinical hospitals (p = .376). But there were significant interactions affecting choice of hospitals among exposure to narratives, formatting of clinical performance, and respondents' education.

conclusionsConsumers have a difficult time synthesizing quality data in various formats. Hospital report cards continue to pose challenging choices, especially for those with limited education. Narrative comments in their earliest emerging forms do not seem to be altering hospital choice as much as the literature has suggested for other providers, but they may have consequential impact on the choices of certain subsets of consumers.

Indexed as

Choice BehaviorSurveys and QuestionnairesCross-Sectional StudiesHospitalsHumansInternetNarrationQuality Indicators, Health CareQuality of Health CareUnited Stateshospitalsmedical decision-makingquality improvement/report cardsSurvey research and questionnaire design

Identifiers

PMID27324087
PMCPMC5441500

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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.