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Identification and validation of uterine perforation, intrauterine device expulsion, and breastfeeding in four health care systems with electronic health records

Authors Anthony MS, Armstrong MA, Getahun D, Scholes D, Gatz J, Schulze-Rath R, Postlethwaite D, Merchant M, Alabaster AL, Chillemi G, Raine-Bennett T, Xie F, Chiu VY, Im TM, Takhar HS, Fassett M, Grafton J, Cronkite D, Ichikawa L, Reed SD, Hui SL, Ritchey ME, Saltus CW, Andrews EB, Rothman KJ, Asiimwe A, Lynen R, Schoendorf J

Received 10 January 2019

Accepted for publication 3 June 2019

Published 23 July 2019 Volume 2019:11 Pages 635—643

DOI https://doi.org/10.2147/CLEP.S201044

Checked for plagiarism Yes

Review by Single-blind

Peer reviewer comments 3

Editor who approved publication: Professor Vera Ehrenstein


Mary S Anthony,1 Mary Anne Armstrong,2 Darios Getahun,3 Delia Scholes,4 Jennifer Gatz,5 Renate Schulze-Rath,6 Debbie Postlethwaite,2 Maqdooda Merchant,2 Amy L Alabaster,2 Giulia Chillemi,2 Tina Raine-Bennett,2 Fagen Xie,3 Vicki Y Chiu,3 Theresa M Im,3 Harpreet S Takhar,3 Michael Fassett,3 Jane Grafton,4 David Cronkite,4 Laura Ichikawa,4 Susan D Reed,4,7 Siu Lui Hui,5 Mary E Ritchey,1 Catherine W Saltus,8 Elizabeth B Andrews,1 Kenneth J Rothman,8 Alex Asiimwe,6 Richard Lynen,9 Juliane Schoendorf10

1RTI Health Solutions, Research Triangle Park, NC, USA; 2Kaiser Permanente Northern California, Oakland, CA, USA; 3Kaiser Permanente Southern California, Pasadena, CA, USA; 4Kaiser Permanente Washington, Seattle, WA, USA; 5Regenstrief Institute, Indianapolis, IN, USA; 6Bayer AG, Berlin, Germany; 7University of Washington, Seattle, WA, USA; 8RTI Health Solutions, Waltham, MA, USA; 9Bayer HealthCare, Whippany, NJ, USA; 10Bayer OY, Espoo, Finland

Objective: To validate algorithms identifying uterine perforations and intrauterine device (IUD) expulsions and to ascertain availability of breastfeeding status at the time of IUD insertion.
Study design and setting: Four health care systems with electronic health records (EHRs) participated: Kaiser Permanente Northern California (KPNC), Kaiser Permanente Southern California (KPSC), Kaiser Permanente Washington (KPWA), and Regenstrief Institute (RI). The study included women ≤50 years of age with an IUD insertion. Site-specific algorithms using structured and unstructured data were developed and a sample validated by EHR review. Positive predictive values (PPVs) of the algorithms were calculated. Breastfeeding status was assessed in a random sample of 125 women at each research site with IUD placement within 52 weeks postpartum.
Results: The study population included 282,028 women with 325,582 IUD insertions. The PPVs for uterine perforation were KPNC 77%, KPSC 81%, KPWA 82%, and RI 47%; PPVs for IUD expulsion were KPNC 77%, KPSC 87%, KPWA 68%, and RI 37%. Across all research sites, breastfeeding status at the time of IUD insertion was determined for 94% of those sampled.
Conclusions: Algorithms with a high PPV for uterine perforation and IUD expulsion were developed at 3 of the 4 research sites. Breastfeeding status at the time of IUD insertion could be determined at all research sites. Our findings suggest that a study to evaluate the associations of breastfeeding and postpartum IUD insertions with risk of uterine perforation and IUD expulsion can be successfully conducted retrospectively; however, automated application of algorithms must be supplemented with chart review for some outcomes at one research site due to low PPV.

Keywords: electronic health records, intrauterine device, breastfeeding, validation study, algorithm, postpartum


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