Document Detail


Acquired conditions: an improvement to hospital discharge abstracts.
MedLine Citation:
PMID:  1790324     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Selected secondary diagnoses (e.g. pulmonary embolism) may provide an efficient and inexpensive source of data for quality assurance (QA) monitoring if their absence at admission were known. In June 1990 we modified our hospital abstracting methods to classify each diagnosis into categories: (1) present on admission, (2) acquired during hospitalization, or (3) uncertain. Our experience has confirmed the identification and elimination from QA reports of the majority of pre-existing secondary diagnoses. Examples of secondary diagnosis codes acquired or uncertain were acute myocardial infarction 48%, pneumonias 25%, pulmonary emoboli 54% and cerebral vascular accident/hemorrhage 35%. Abstracting time has increased less than 2 min per discharge. A reabstraction study showed 87% agreement (kappa = 0.733, p less than 0.001) between initial collection and blinded reabstraction. The separation of secondary diagnoses into preexisting or acquired can: (1) be reliably undertaken by discharge abstracters; (2) be efficient in adding minimal time; and (3) enhance the validity and usefulness of data and increase physician acceptance.
Authors:
J M Naessens; M D Brennan; C J Boberg; P C Amadio; P J Karver; R O Podratz
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Quality assurance in health care : the official journal of the International Society for Quality Assurance in Health Care / ISQA     Volume:  3     ISSN:  1040-6166     ISO Abbreviation:  Qual Assur Health Care     Publication Date:  1991  
Date Detail:
Created Date:  1992-03-31     Completed Date:  1992-03-31     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  9001007     Medline TA:  Qual Assur Health Care     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  257-62     Citation Subset:  IM    
Affiliation:
Section of Biostatistics, Mayo Clinic, Rochester, MN 55905.
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MeSH Terms
Descriptor/Qualifier:
Abstracting and Indexing as Topic / methods
Diagnosis-Related Groups / classification*
Humans
Iatrogenic Disease*
Medical Records / standards*
Medical Records Department, Hospital
Minnesota
Patient Discharge*
Postoperative Complications / classification
Quality Assurance, Health Care / statistics & numerical data*

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


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