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Questionnaires of accident and emergency departments: Are they reproducible?

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UNSPECIFIED (2000) Questionnaires of accident and emergency departments: Are they reproducible? JOURNAL OF ACCIDENT & EMERGENCY MEDICINE, 17 (5). pp. 355-356. ISSN 1351-0622

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Abstract

Background - Questionnaires are commonly sent to accident and emergency (A&E) departments to determine common practice and are often extrapolated to best practice. Aims - To determine if questionnaire based studies have a defined population of A&E departments and whether studies are reproducible. Methods - All questionnaires in the Journal of Accident and Emergency Medicine were reviewed and assessed for inclusion criteria, departments studied and study design. Results - 30 questionnaires were detected, 22 were postal, six telephone and two did not state method of contact. Sample sizes ranged from 15 to 740 and inclusion of A&E departments was highly variable according to geographical area, size of department or consultant status. Seventeen (54.8%) did not state the source of A&E department listings. Response rates ranged from 55-100%. Only three studies undertook subset analysis according to either size or locality. Conclusions - Questionnaire studies of A&E departments have poor methodology descriptions, which means that many are not reproducible. Inclusion criteria are highly variable and failure to analyse important subsets may mean that individual departments cannot apply recommendations. Questionnaire studies relating to A&E do not use a consistent well defined population of A&E departments. Information in the studies is usually inadequate to allow them to be repeated.

Item Type: Journal Article
Subjects: R Medicine > RC Internal medicine
Journal or Publication Title: JOURNAL OF ACCIDENT & EMERGENCY MEDICINE
Publisher: BRITISH MED JOURNAL PUBL GROUP
ISSN: 1351-0622
Date: September 2000
Volume: 17
Number: 5
Number of Pages: 2
Page Range: pp. 355-356
Publication Status: Published
URI: http://wrap.warwick.ac.uk/id/eprint/13021

Data sourced from Thomson Reuters' Web of Knowledge

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