Linked Life Data

6403780

Source:http://linkedlifedata.com/resource/pubmed/id/6403780

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
1983-5-5
pubmed:abstractText
A clustering method for the analysis of ambulatory morbidity data is presented. This approach reduces spurious variations resulting from idiosyncratic diagnosis labeling and coding habits of physicians and facilitates the analysis of the content of ambulatory medical care through the use of aggregate morbidity data. The clusters provide a tool that allows for the comparison of the content of practice based on different factors such as provider training, practice organization, and patient characteristics. Ninety-two diagnosis clusters were derived using the 1977 and 1978 National Ambulatory Medical Care Survey (NAMCS). These clusters incorporate 86 per cent of all ambulatory visits to office-based physicians in the contiguous United States. The clusters were constructed based on the consensus of a group of clinicians including both generalists, as well as selected subspecialists representing the spectrum of ambulatory medical practice. The diagnosis clusters presented are compatible with the International Classification of Diseases (ICDA-8 and ICD-9-CM) and the International Classifications of Health Problems in Primary Care (ICHPPC and ICHPPC-2). Several applications demonstrating the utility of the method are presented, and directions for future applications are suggested.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
0025-7079
pubmed:author
pubmed:issnType
Print
pubmed:volume
21
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
105-22
pubmed:dateRevised
2009-11-19
pubmed:meshHeading
pubmed:year
1983
pubmed:articleTitle
Diagnosis clusters: a new tool for analyzing the content of ambulatory medical care.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't