Document Detail

Can patient-written comments help explain patient satisfaction with food quality?
MedLine Citation:
PMID:  19942026     Owner:  NLM     Status:  MEDLINE    
This study identified themes in patient-written comments about meals served in a hospital and determined the relationship of those themes to patient food-quality satisfaction ratings among medical and surgical patients. Data from 2 years of quantitative Press Ganey patient-satisfaction ratings and qualitative comments related to meals by 1,077 patients discharged from a Midwest urban medical center were reviewed retrospectively. Themes in comments were identified. Results indicated that patient satisfaction with food quality did not differ based on sex or age, but did differ based on length of stay, perceived health status, and whether a patient provided written comments or not. The most common comments focused on the temperature of hot food, receiving what was ordered, and satisfaction with foodservice staff. The tenor of comments differed by food-quality rating given. Overall food quality rating was best predicted by food-related comments rather than comments about staff, or other issues not addressed in the Press Ganey quantitative questionnaire.
Michelle A Tranter; Mary B Gregoire; Francis A Fullam; Linda J Lafferty
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of the American Dietetic Association     Volume:  109     ISSN:  1878-3570     ISO Abbreviation:  J Am Diet Assoc     Publication Date:  2009 Dec 
Date Detail:
Created Date:  2009-11-27     Completed Date:  2009-12-15     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7503061     Medline TA:  J Am Diet Assoc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  2068-72     Citation Subset:  AIM; IM    
Jewell-Osco, Chicago, IL, USA.
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MeSH Terms
Aged, 80 and over
Food / standards*
Food Service, Hospital / standards*,  statistics & numerical data
Health Care Surveys
Health Status
Length of Stay
Patient Satisfaction / statistics & numerical data*
Quality Control
Retrospective Studies

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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