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Detection of Pelvic Inflammatory Disease : Development of an Automated Case-Finding Algorithm Using Administrative Data
Joint Authors
Berman, Stuart
Raebel, Marsha A.
Kleinbaum, David
Howards, Penelope P.
Yu, Onchee
Weinstock, Hillard
Scholes, Delia
Satterwhite, Catherine L.
Source
Infectious Diseases in Obstetrics and Gynecology
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-11-14
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
ICD-9 codes are conventionally used to identify pelvic inflammatory disease (PID) from administrative data for surveillance purposes.
This approach may include non-PID cases.
To refine PID case identification among women with ICD-9 codes suggestive of PID, a case-finding algorithm was developed using additional variables.
Potential PID cases were identified among women aged 15–44 years at Group Health (GH) and Kaiser Permanente Colorado (KPCO) and verified by medical record review.
A classification and regression tree analysis was used to develop the algorithm at GH; validation occurred at KPCO.
The positive predictive value (PPV) for using ICD-9 codes alone to identify clinical PID cases was 79%.
The algorithm identified PID appropriate treatment and age 15–25 years as predictors.
Algorithm sensitivity (GH=96.4%; KPCO=90.3%) and PPV (GH=86.9%; KPCO=84.5%) were high, but specificity was poor (GH=45.9%; KPCO=37.0%).
In GH, the algorithm offered a practical alternative to medical record review to further improve PID case identification.
American Psychological Association (APA)
Satterwhite, Catherine L.& Yu, Onchee& Raebel, Marsha A.& Berman, Stuart& Howards, Penelope P.& Weinstock, Hillard…[et al.]. 2011. Detection of Pelvic Inflammatory Disease : Development of an Automated Case-Finding Algorithm Using Administrative Data. Infectious Diseases in Obstetrics and Gynecology،Vol. 2011, no. 2011, pp.1-7.
https://search.emarefa.net/detail/BIM-471466
Modern Language Association (MLA)
Satterwhite, Catherine L.…[et al.]. Detection of Pelvic Inflammatory Disease : Development of an Automated Case-Finding Algorithm Using Administrative Data. Infectious Diseases in Obstetrics and Gynecology No. 2011 (2011), pp.1-7.
https://search.emarefa.net/detail/BIM-471466
American Medical Association (AMA)
Satterwhite, Catherine L.& Yu, Onchee& Raebel, Marsha A.& Berman, Stuart& Howards, Penelope P.& Weinstock, Hillard…[et al.]. Detection of Pelvic Inflammatory Disease : Development of an Automated Case-Finding Algorithm Using Administrative Data. Infectious Diseases in Obstetrics and Gynecology. 2011. Vol. 2011, no. 2011, pp.1-7.
https://search.emarefa.net/detail/BIM-471466
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-471466