Development and validation of algorithms to identify acute diverticulitis. (25th September 2014)
- Record Type:
- Journal Article
- Title:
- Development and validation of algorithms to identify acute diverticulitis. (25th September 2014)
- Main Title:
- Development and validation of algorithms to identify acute diverticulitis
- Authors:
- Kawatkar, Aniket
Chu, Li‐Hao
Iyer, Rajan
Yen, Linnette
Chen, Wansu
Erder, M. Haim
Hodgkins, Paul
Longstreth, George - Abstract:
- <abstract abstract-type="main"> <title>Abstract</title> <sec id="pds3708-sec-0001" sec-type="section"> <title>Purpose</title> <p>The objectives of this study were to develop and validate algorithms to accurately identify patients with diverticulitis using electronic medical records (EMRs).</p> </sec> <sec id="pds3708-sec-0002" sec-type="section"> <title>Methods</title> <p>Using Kaiser Permanente Southern California's EMRs of adults (≥18 years) with International Classification of Diseases, Clinical Modifications, Ninth Revision diagnosis codes of diverticulitis (562.11, 562.13) between 1 January 2008 and 31 August 2009, we generated random samples for pilot (<italic>N</italic> = 692) and validation (<italic>N</italic> = 1502) respectively. Both samples were stratified by inpatient (IP), emergency department (ED), and outpatient (OP) care settings. We developed and validated several algorithms using EMR data on diverticulitis diagnosis code, antibiotics, computed tomography, diverticulosis history, pain medication and/or pain diagnosis, and excluding patients with infections and/or conditions that could mimic diverticulitis. Evidence of diverticulitis was confirmed through manual chart review. Agreement between EMR algorithm and manual chart confirmation was evaluated using sensitivity and positive predictive value (PPV).</p> </sec> <sec id="pds3708-sec-0003" sec-type="section"> <title>Results</title> <p>Both samples were similar in socio‐demographics and clinical symptoms.<abstract abstract-type="main"> <title>Abstract</title> <sec id="pds3708-sec-0001" sec-type="section"> <title>Purpose</title> <p>The objectives of this study were to develop and validate algorithms to accurately identify patients with diverticulitis using electronic medical records (EMRs).</p> </sec> <sec id="pds3708-sec-0002" sec-type="section"> <title>Methods</title> <p>Using Kaiser Permanente Southern California's EMRs of adults (≥18 years) with International Classification of Diseases, Clinical Modifications, Ninth Revision diagnosis codes of diverticulitis (562.11, 562.13) between 1 January 2008 and 31 August 2009, we generated random samples for pilot (<italic>N</italic> = 692) and validation (<italic>N</italic> = 1502) respectively. Both samples were stratified by inpatient (IP), emergency department (ED), and outpatient (OP) care settings. We developed and validated several algorithms using EMR data on diverticulitis diagnosis code, antibiotics, computed tomography, diverticulosis history, pain medication and/or pain diagnosis, and excluding patients with infections and/or conditions that could mimic diverticulitis. Evidence of diverticulitis was confirmed through manual chart review. Agreement between EMR algorithm and manual chart confirmation was evaluated using sensitivity and positive predictive value (PPV).</p> </sec> <sec id="pds3708-sec-0003" sec-type="section"> <title>Results</title> <p>Both samples were similar in socio‐demographics and clinical symptoms. An algorithm based on diverticulitis diagnosis code with antibiotic prescription dispensed within 7 days of diagnosis date, performed well overall. In the validation sample, sensitivity and PPV were (84.6, 98.2%), (95.8, 98.1%), and (91.8, 82.6%) for OP, ED, and IP, respectively.</p> </sec> <sec id="pds3708-sec-0004" sec-type="section"> <title>Conclusion</title> <p>Using antibiotic prescriptions to supplement diagnostic codes improved the accuracy of case identification for diverticulitis, but results varied by care setting. Copyright © 2014 John Wiley &amp; Sons, Ltd.</p> </sec> </abstract> … (more)
- Is Part Of:
- Pharmacoepidemiology and drug safety. Volume 24:Number 1(2015:Jan.)
- Journal:
- Pharmacoepidemiology and drug safety
- Issue:
- Volume 24:Number 1(2015:Jan.)
- Issue Display:
- Volume 24, Issue 1 (2015)
- Year:
- 2015
- Volume:
- 24
- Issue:
- 1
- Issue Sort Value:
- 2015-0024-0001-0000
- Page Start:
- 27
- Page End:
- 37
- Publication Date:
- 2014-09-25
- Subjects:
- Pharmacoepidemiology -- Periodicals
Chemotherapy -- Periodicals
Epidemiology -- Periodicals
615.705 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/pds.3708 ↗
- Languages:
- English
- ISSNs:
- 1053-8569
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6446.248000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 4017.xml