PubMed Health⌕ Search

PubMed · 10136257

Comparative hospital databases: value for management and quality.

Abstract

OBJECTIVES: To establish an accurate and reliable comparative database of discharge abstracts and to appraise its value for assessments of quality of care. DESIGN: Retrospective review of case notes by trained research abstractors and comparison with matched information as routinely collected by the hospitals' own information systems. SETTING: Three district general hospitals and two major London teaching hospitals. PATIENTS: The database included 3905 medical and surgical cases and 2082 obstetric cases from 1990 and 1991. MAIN MEASURES: Accessibility of case notes; measures of reliability between reviewers and of validity of case note content; application of high level quality indicators. RESULTS: The existing hospital systems extracted insufficient detail from case notes to conduct clinical comparative analyses for medical and surgical cases. The research abstractors at least doubled the diagnostic codes extracted. Interabstractor agreement of about 70% was obtained for primary diagnosis and assignment to diagnosis related group. These data were sufficient to create a comparative database and apply high level quality indicators designed to flag topics for further study. For obstetric-specific indicators the rates were comparable for abstractors and the hospital information systems, which in each case was a departmentally based system (SMMIS) producing more detailed and accessible data. CONCLUSIONS: Current methods of extracting and coding diagnostic and procedural data from case notes in this sample of hospitals is unsatisfactory: notes were difficult to access and recording is unacceptably incomplete. IMPLICATIONS: Improvements as piloted in this project, are readily available should the NHS, hospital managers, and clinicians see the value of these data in their clinical and managerial activities.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

R Cleary, R Beard, J Coles, B Devlin, A Hopkins, D Schumacher, I Wickings. 1994. Comparative hospital databases: value for management and quality.. https://doi.org/10.1136/qshc.3.1.3

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Probability estimation when some observations are grouped.

This paper considers the use of additional questions for decreasing survey non-response rates and an approach for estimating a probability based on the results obtained. In a survey, the respondents are asked to answer an original question and follow-up questions, where the answers for the follow-up questions are grouped answers for the original question. For example, respondents are asked to provide an exact number of incidents, but in cases of 'Do not know' or 'Refuse' responses, they are subsequently asked to pick an answer from a less specific categorical scale. The new estimator obtains smaller variance asymptotically and does not depend on a distribution family. This method is applied to income questions in a survey regarding injury prevention and behaviours. Another application is survey data on intimate partner violence, where some amendments were applied for incorporating post-stratification weights and for using non-random grouping. For additional illustration, an example of parameter estimation on artificially generated data is presented.

Data Collection↗