Hospital discharge data is not accurate enough to monitor the incidence of postpartum hemorrhage.

Details

Serval ID
serval:BIB_83BFD63D88D6
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Hospital discharge data is not accurate enough to monitor the incidence of postpartum hemorrhage.
Journal
PloS one
Author(s)
Walther D., Halfon P., Tanzer R., Burnand B., Robertson M., Vial Y., Desseauve D., Le Pogam M.A.
ISSN
1932-6203 (Electronic)
ISSN-L
1932-6203
Publication state
Published
Issued date
2021
Peer-reviewed
Oui
Volume
16
Number
2
Pages
e0246119
Language
english
Notes
Publication types: Comparative Study ; Journal Article
Publication Status: epublish
Abstract
Postpartum hemorrhage remains a leading cause of maternal morbidity and mortality worldwide. Therefore, cumulative incidence of postpartum hemorrhage and severe postpartum hemorrhage are commonly monitored within and compared across maternity hospitals or countries for obstetrical safety improvement. These indicators are usually based on hospital discharge data though their accuracy is seldom assessed. We aimed to measure postpartum hemorrhage and severe postpartum hemorrhage using electronic health records and hospital discharge data separately and compare the detection accuracy of these methods to manual chart review, and to examine the temporal trends in cumulative incidence of these potentially avoidable adverse outcomes.
We analyzed routinely collected data of 7904 singleton deliveries from a large Swiss university hospital for a three year period (2014-2016). We identified postpartum hemorrhage and severe postpartum hemorrhage in electronic health records by text mining discharge letters and operative reports and calculating drop in hemoglobin from laboratory tests. Diagnostic and procedure codes were used to identify cases in hospital discharge data. A sample of 334 charts was reviewed manually to provide a reference-standard and evaluate the accuracy of the other detection methods.
Sensitivities of detection algorithms based on electronic health records and hospital discharge data were 95.2% (95% CI: 92.6% 97.8%) and 38.2% (33.3% to 43.0%), respectively for postpartum hemorrhage, and 87.5% (85.2% to 89.8%) and 36.2% (26.3% to 46.1%) for severe postpartum hemorrhage. Postpartum hemorrhage cumulative incidence based on electronic health records decreased from 15.6% (13.1% to 18.2%) to 8.5% (6.7% to 10.5%) from the beginning of 2014 to the end of 2016, with an average of 12.5% (11.8% to 13.3%). The cumulative incidence of severe postpartum hemorrhage remained at approximately 4% (3.5% to 4.4%). Hospital discharge data-based algorithms provided significantly underestimated incidences.
Hospital discharge data is not accurate enough to assess the incidence of postpartum hemorrhage at hospital or national level. Instead, automated algorithms based on structured and textual data from electronic health records should be considered, as they provide accurate and timely estimates for monitoring and improvement in obstetrical safety. Furthermore, they have the potential to better code for postpartum hemorrhage thus improving hospital reimbursement.
Keywords
Adult, Algorithms, Current Procedural Terminology, Data Mining, Electronic Health Records, Female, Hospitals, University, Humans, Incidence, Patient Discharge/statistics & numerical data, Postpartum Hemorrhage/epidemiology, Pregnancy, Retrospective Studies, Switzerland/epidemiology
Pubmed
Web of science
Open Access
Yes
Create date
08/02/2021 12:55
Last modification date
27/07/2021 6:36
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