Adjusting for Patient Characteristics When Analyzing Reports From Patients About Hospital Care
Dados Bibliográficos
| ID | 9104587 |
|---|---|
| Autores | J Lee Hargraves (0000-0003-2699-4405, Center for Studying Health System Change), Ira B Wilson (0000-0002-0246-738X, autor correspondente), Alan M Zaslavsky (0000-0003-1072-6043), Alan Zaslavsky, Cara James, Janice D Walker, Gina Rogers, Paul D Cleary (0000-0001-7527-4354) |
| Ano | 2001 |
| Volume | 39 |
| Fascículo | 6 |
| Páginas | 635-641 |
| Data de publicação | 2001-06-01 |
| Peer Reviewed | Sim |
| Open Access | Não |
| Tipo | ARTICLE |
| Periódico | Medical Care (JOURNAL) |
| Identificadores do periódico | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Editora | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/00005650-200106000-00011 |
| PMID | 11404646 |
| OpenAlex | W2086812192 |
| Idioma | EN |
| Citações recebidas | 16 |
| Referências citadas | 22 |
OBJECTIVES: To determine which patient characteristics are associated with reports and ratings of hospital care, and to evaluate how adjusting reports and ratings for hospital differences in such variables affects comparisons among hospitals. DESIGN: A telephone survey of a sample of patients hospitalized in 22 hospitals in a single city and a statewide mail survey of hospitalized patients. MEASURES: The surveys assessed: respect for patients' preferences, coordination of care, information exchange between patient and providers, physical care, emotional support, involvement of family and friends, and transition and continuity. The surveys also asked patients to rate their doctors, nurses, and other hospital staff. RESULTS: The variables with the strongest and most consistent associations with patient-reported problems were age and reported health status. Patient gender and education level also sometimes predicted reports and/or ratings. Models including these variables explained only between 3% and 8% of the variation in reports and ratings. CONCLUSIONS: The impact of adjusting for patient characteristics on hospital rankings was small, although a larger impact would be expected when comparing hospitals with more variability in types of patients. Nevertheless, we recommend adjusting at least for the most important predictors, such as age and health status. Such adjustment helps alleviate concerns about bias. It also may be useful to present data for certain groups of patients (ie, medical, surgical, obstetric) separately to facilitate interpretation and quality improvement efforts
Family medicine · Health care · MEDLINE · Patient satisfaction · Healthcare Policy and Management · Medicine · Nursing · Patient Satisfaction in Healthcare · Patient-Provider Communication in Healthcare
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| Obras citantes distintas | 16 |
|---|---|
| Citações por ano | 0,67 |
| Intervalo de citações | 2002 - 2017 (16) |
| Velocidade de citação | historical |
| Altamente citado | Não |
| Tipos de citação | Neutras: 14 |