Evidence map›Paper›PMID 31012107›Full record

ArticleHealth services research2019

Using contingent valuation to develop consumer-based weights for health quality report cards.

David L Weimer, Debra Saliba, Heather Ladd, Yuxi Shi, Dana B Mukamel

Abstract read
In one paragraph

Article in Health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

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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

5 authors.

David L WeimerLaFollette School of Public Affairs, University of Wisconsin - Madison, Madison, Wisconsin.ORCID 0000-0001-9237-623X
Debra SalibaUCLA Borun Center at David Geffen School of Medicine, Los Angeles, California.ORCID 0000-0001-5177-6616
Heather LaddDepartment of Medicine, Division of General Internal Medicine, iTEQC Research Program, University of California, Irvine, California.ORCID 0000-0003-4427-7178
Yuxi ShiDepartment of Medicine, Division of General Internal Medicine, iTEQC Research Program, University of California, Irvine, California.
Dana B MukamelDepartment of Medicine, Division of General Internal Medicine, iTEQC Research Program, University of California, Irvine, California.ORCID 0000-0003-4147-5785

Funding

Improving quality report cards through inclusion of consumers preferencesR01AG049705 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI MUKAMEL, DANA B · 2016 to 2018
$1.5M
NIA NIH HHS R01 AG049705NIH HHS R01 AG049705
6 · The paper itself

Abstract

objectiveThe current 5-Star composite measure for nursing homes uses expert-driven weights to combine elements of quality into a single score. We assessed the feasibility of using the contingent valuation method (CVM) to derive consumers' preference-based weights for the Nursing Home Compare report card as a potential alternative approach. DATA SOURCES: Survey of 4310 adults with nursing home experience (residents or family members of a resident) administered between September 25 and October 9, 2017. STUDY

designContingent valuation method based on respondents' answers to questions about willingness-to-trade (WTT) visit travel time for better quality in seven quantitative indices included in Nursing Home Compare. We calculated WTT amounts per standard deviation change in quantitative indices to derive weights. DATA COLLECTION

methodsWeb-based survey. PRINCIPAL

findingsContingent valuation method results are consistent with respondents making economically rational trade-offs between quality and travel time. Estimates of mean WTT vary across quantitative quality indices. They also vary in terms of respondent status and behavioral factors. Weights based on mean WTT per standard deviation vary substantially across indices, with the largest weights for inspections and staffing.

conclusionsContingent valuation method has promise as a method for deriving weights for use in summary measures that incorporate consumer preferences.

Indexed as

Consumer BehaviorHumansNursing HomesQuality of Health CareSocioeconomic FactorsSurveys and QuestionnairesTime FactorsTransportationcontingent valuation methodNursing Home Comparequality report cardstar ratingswillingness-to-trade time

Identifiers

PMID31012107
PMCPMC6606546

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.