Exploring Trends in Postpartum Hemorrhage with SHRINE Network Aggregated Electronic Health Records (EHR) Data.

Health records Electronic health record
DOI: 10.1370/afm.22.s1.6577 Publication Date: 2024-11-28T19:25:11Z
ABSTRACT
<h3>Context.</h3> Healthcare research involving patient medical data is often delayed by lengthy approval processes. The Shared Health Research Information Network (SHRINE) offers rapid, secure access to aggregate counts of from participating hospitals. In this study we employ SHRINE's query tools explore temporal trends in postpartum hemorrhage (PPH), identify potential disparities, and highlight the importance accessible advancing health equity improving maternal outcomes. <h3>Objective.</h3> Assess PPH comorbidity burden among women who had given live births 2005 2022. <h3>Study Design Analysis.</h3> We have used repeated annual cross-sectional analyses extract aggregated EHR that included demographics, risk factors comorbidities during hospital stays. Data underwent quality assessment ensure reliability subsequent analyses. Phenotypes were defined using ICD-9 ICD-10 diagnostic codes. Temporal assessed Mann-Kendall tests. <h3>Setting or Dataset.</h3> This utilized harmonized, de-identified, structured patients meet inclusion exclusion criteria, multiple centers across United States. <h3>Population Studied.</h3> Women 15-54 years with between 2005-2022. <h3>Intervention/Instrument.</h3> was systematically extracted SHRINE9s tools, returning de-identified per specified preserving privacy. <h3>Outcome Measures.</h3> Incidence rates PPH, prevalence associated comorbidities, demographic distribution, any longitudinal changes these measures period. <h3>Results.</h3> Our findings indicate significant increases incidence overall 2022, highest following cesarian section placenta previa accreta (29.81%). American Indian Native Hawaiian showed (11.52%, 11.71%). Single yielded lowest (10.15%), highlighting increased comorbidities. <h3>Conclusions.</h3> has demonstrate a rising trend marked disparities groups an elevated linked certain clinical conditions.
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