Document Detail


Using routinely recorded ethnicity: analysis of waiting times for elective admissions by ethnic group.
MedLine Citation:
PMID:  15285828     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
OBJECTIVE: To assess whether patients from non-white ethnic groups wait longer than white patients for elective in-patient admissions at St Mary's Hospital in London. METHODS: Patients who came off the waiting list for an elective inpatient admission between 1 April 2000 and 31 March 2001 were selected. A multivariable log linear model was developed to assess geometric mean waiting times for Black, Asian, Other and Missing ethnic groups compared to the White group, adjusted for age, sex, urgency and distance. RESULTS: Caution is needed in interpreting results, as a large number of patients had no usable ethnic code. There was no strong evidence that waiting times for ethnic groups were systematically different than for the White group. However, there was some evidence that white patients waited longer for a coronary arteriography than patients in other ethnic groups. This was partially explained by age, sex, clinical urgency and residential distance from St Mary's. CONCLUSIONS: The large proportion of patients with no usable ethnic code, lack of robust methods for case-mix adjustment and multiple ethnic categories makes analysis methodologically difficult. Regular and informative analysis of ethnic coded data is a necessary step in improving the accuracy and completeness of coding.
Authors:
O W C Morgan; J Hamm
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Publication Detail:
Type:  Comparative Study; Journal Article    
Journal Detail:
Title:  Health services management research : an official journal of the Association of University Programs in Health Administration / HSMC, AUPHA     Volume:  17     ISSN:  0951-4848     ISO Abbreviation:  Health Serv Manage Res     Publication Date:  2004 Aug 
Date Detail:
Created Date:  2004-08-02     Completed Date:  2004-09-23     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  8811549     Medline TA:  Health Serv Manage Res     Country:  England    
Other Details:
Languages:  eng     Pagination:  200-8     Citation Subset:  H    
Affiliation:
Public Health Intelligence and Evaluation Unit, Kensington & Chelsea and Westminster Health Authority. omorgan@bigfoot.com
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MeSH Terms
Descriptor/Qualifier:
Ethnic Groups*
Female
Great Britain
Health Services Research
Humans
Male
Middle Aged
Patient Admission / statistics & numerical data*
State Medicine
Surgical Procedures, Elective* / classification
Waiting Lists*

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


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