Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3145
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Objective: The 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 Design: Contingent 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 Methods: Web-based survey.
Principal Findings: Contingent 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.
Conclusions: Contingent valuation method has promise as a method for deriving weights for use in summary measures that incorporate consumer preferences.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6606546 | PMC |
http://dx.doi.org/10.1111/1475-6773.13155 | DOI Listing |
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