Document Detail

Obstetric audit using routinely collected computerised data.
MedLine Citation:
PMID:  2271887     Owner:  NLM     Status:  MEDLINE    
OBJECTIVE: To examine the use of routinely collected computerised data in clinical audit. DESIGN: Retrospective review of all analyses of obstetric practice based on a computerised data system from January 1983 to June 1988. SETTING: Maternity department of the regional referral hospital in Oxford. MAIN OUTCOME MEASURES: Congruence with the principles of clinical audit; that is, comparing clinical practice with previously agreed standards and changing practice to meet these standards if necessary. RESULTS: Over the five and a half years of the study the data formed the basis of 130 special inquiries into different aspects of obstetric practice. Most inquiries seemed to be aimed only at describing current activities and identifying trends. Genuine clinical audit was rare. Simple audits--for example, concerning induction for pregnancy after term--could be supported by the computerised data, but for detailed and wide ranging audits--for example, reducing antenatal clinic visits for low risk multiparas--the data had to be supplemented from other sources. CONCLUSIONS: Routinely collected computerised data enable ongoing clinical audit, but it becomes a reality only when clinicians agree on standards of practice and have a flexible attitude towards change. Even then, genuine clinical audits of obstetric practice demand more detailed and comprehensive data than are generally available on such systems.
P L Yudkin; C W Redman
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  BMJ (Clinical research ed.)     Volume:  301     ISSN:  0959-8138     ISO Abbreviation:  BMJ     Publication Date:  1990 Dec 
Date Detail:
Created Date:  1991-02-28     Completed Date:  1991-02-28     Revised Date:  2010-03-24    
Medline Journal Info:
Nlm Unique ID:  8900488     Medline TA:  BMJ     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  1371-3     Citation Subset:  AIM; IM    
Nuffield Department of Obstetrics and Gynaecology, John Radcliffe Hospital, Headington, Oxford.
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MeSH Terms
Data Interpretation, Statistical
Labor, Induced
Medical Audit / methods*
Medical Records Systems, Computerized
Obstetrics / standards*
Pregnancy, Multiple
Retrospective Studies

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

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