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Identification and validation of uterine perforation, intrauterine device expulsion, and breastfeeding in four health care systems with electronic health records
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: Kaise...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6662160/ https://www.ncbi.nlm.nih.gov/pubmed/31413641 http://dx.doi.org/10.2147/CLEP.S201044 |
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author | Anthony, Mary S Armstrong, Mary Anne Getahun, Darios Scholes, Delia Gatz, Jennifer Schulze-Rath, Renate Postlethwaite, Debbie Merchant, Maqdooda Alabaster, Amy L Chillemi, Giulia Raine-Bennett, Tina Xie, Fagen Chiu, Vicki Y Im, Theresa M Takhar, Harpreet S Fassett, Michael Grafton, Jane Cronkite, David Ichikawa, Laura Reed, Susan D Hui, Siu Lui Ritchey, Mary E Saltus, Catherine W Andrews, Elizabeth B Rothman, Kenneth J Asiimwe, Alex Lynen, Richard Schoendorf, Juliane |
author_facet | Anthony, Mary S Armstrong, Mary Anne Getahun, Darios Scholes, Delia Gatz, Jennifer Schulze-Rath, Renate Postlethwaite, Debbie Merchant, Maqdooda Alabaster, Amy L Chillemi, Giulia Raine-Bennett, Tina Xie, Fagen Chiu, Vicki Y Im, Theresa M Takhar, Harpreet S Fassett, Michael Grafton, Jane Cronkite, David Ichikawa, Laura Reed, Susan D Hui, Siu Lui Ritchey, Mary E Saltus, Catherine W Andrews, Elizabeth B Rothman, Kenneth J Asiimwe, Alex Lynen, Richard Schoendorf, Juliane |
author_sort | Anthony, Mary S |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6662160 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-66621602019-08-14 Identification and validation of uterine perforation, intrauterine device expulsion, and breastfeeding in four health care systems with electronic health records Anthony, Mary S Armstrong, Mary Anne Getahun, Darios Scholes, Delia Gatz, Jennifer Schulze-Rath, Renate Postlethwaite, Debbie Merchant, Maqdooda Alabaster, Amy L Chillemi, Giulia Raine-Bennett, Tina Xie, Fagen Chiu, Vicki Y Im, Theresa M Takhar, Harpreet S Fassett, Michael Grafton, Jane Cronkite, David Ichikawa, Laura Reed, Susan D Hui, Siu Lui Ritchey, Mary E Saltus, Catherine W Andrews, Elizabeth B Rothman, Kenneth J Asiimwe, Alex Lynen, Richard Schoendorf, Juliane Clin Epidemiol Original Research 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. Dove 2019-07-23 /pmc/articles/PMC6662160/ /pubmed/31413641 http://dx.doi.org/10.2147/CLEP.S201044 Text en © 2019 Anthony et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Anthony, Mary S Armstrong, Mary Anne Getahun, Darios Scholes, Delia Gatz, Jennifer Schulze-Rath, Renate Postlethwaite, Debbie Merchant, Maqdooda Alabaster, Amy L Chillemi, Giulia Raine-Bennett, Tina Xie, Fagen Chiu, Vicki Y Im, Theresa M Takhar, Harpreet S Fassett, Michael Grafton, Jane Cronkite, David Ichikawa, Laura Reed, Susan D Hui, Siu Lui Ritchey, Mary E Saltus, Catherine W Andrews, Elizabeth B Rothman, Kenneth J Asiimwe, Alex Lynen, Richard Schoendorf, Juliane Identification and validation of uterine perforation, intrauterine device expulsion, and breastfeeding in four health care systems with electronic health records |
title | Identification and validation of uterine perforation, intrauterine device expulsion, and breastfeeding in four health care systems with electronic health records |
title_full | Identification and validation of uterine perforation, intrauterine device expulsion, and breastfeeding in four health care systems with electronic health records |
title_fullStr | Identification and validation of uterine perforation, intrauterine device expulsion, and breastfeeding in four health care systems with electronic health records |
title_full_unstemmed | Identification and validation of uterine perforation, intrauterine device expulsion, and breastfeeding in four health care systems with electronic health records |
title_short | Identification and validation of uterine perforation, intrauterine device expulsion, and breastfeeding in four health care systems with electronic health records |
title_sort | identification and validation of uterine perforation, intrauterine device expulsion, and breastfeeding in four health care systems with electronic health records |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6662160/ https://www.ncbi.nlm.nih.gov/pubmed/31413641 http://dx.doi.org/10.2147/CLEP.S201044 |
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