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

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246119
Author(s):  
Diana Walther ◽  
Patricia Halfon ◽  
Romain Tanzer ◽  
Bernard Burnand ◽  
Moira Robertson ◽  
...  
Keyword(s):  
Electronic Health Records ◽  
Hospital Discharge ◽  
Postpartum Hemorrhage ◽  
Cumulative Incidence ◽  
Hospital Discharge Data ◽  
Detection Accuracy ◽  
Health Records ◽  
Discharge Data ◽  
Maternity Hospitals ◽  
Electronic Health

Introduction 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. Materials and methods 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. Results 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. Conclusions 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.

Association Between Meaningful Use and Florida Counties’ COVID-19 Case and Death Rates Among Medicaid Providers (Preprint)

2021 ◽  
Author(s):  
Katherine Freeman ◽  
Judith P. Monestime
Keyword(s):  
Electronic Health Records ◽  
Cumulative Incidence ◽  
Meaningful Use ◽  
County Level ◽  
Cross Sectional ◽  
Health Records ◽  
Death Rates ◽  
Public Health Reporting ◽  
Electronic Health ◽  
Population Demographic

BACKGROUND Although the Health Information Technology for Economic and Clinical Health (HITECH) Act has accelerated the adoption of Meaningful Use of Electronic Health Records (EHRs) among Medicaid providers, only about half achieve Meaningful Use. Furthermore, the validity of public health reporting of COVID-19 outcomes, which relies on Meaningful Use advanced functions, remains unknown. OBJECTIVE This study aims to examine the difference between Medicaid providers who did and did not achieve Meaningful Use regarding Florida county-level incidence rates of COVID-19 cases and deaths, accounting for county-level race/ethnicity, unemployment, income, prevalence of respiratory diseases, age, poverty, and healthcare environment. METHODS This cross-sectional ecologic study examined the association between Meaningful Use achievement by Medicaid providers and COVID-19 cases and death rates from 67 Florida counties as of November 19, 2020. Provider information was obtained from the publicly available database from the Florida Medicaid Promoting Interoperability Program, formerly Electronic Health Record Incentive Program. The database includes the Area Health Resources File, capturing provider characteristics and population demographic and socioeconomic characteristics at the county level. Cumulative COVID-19 cases and deaths were obtained from the Florida Department of Health Open Data (FDOH) for zip codes which were aggregated by county. Rates were obtained by dividing cumulative incidence or prevalence by the U.S. Census County population. RESULTS As of November 19, 2020, the cumulative incidence rate of COVID-19 deaths was significantly different between Medicaid providers who achieved Meaningful Use and those who did not (P=.0131), with relatively more deaths reported for those not achieving Meaningful Use. County-level characteristics associated with increased COVID-19 death rates in hierarchical models include greater concentrations of persons of African American or Black race (P<.0001), lower median household income (P<.0001), higher unemployment (P<.0001), and higher concentrations of those living in poverty (P<.0001) and without health insurance (P<.0001). CONCLUSIONS Although Federal subsidies successfully influenced the adoption of Electronic Health Records, our findings suggest an emerging further digital "advanced use" divide among patients cared for by Medicaid providers. Policy interventions need to be reevaluated to address disparities in COVID-19 clinical outcomes which appear exacerbated by the limited use of advanced Electronic Health Records functions. CLINICALTRIAL not applicable

scholarly journals Postpartum Hemorrhage: Differences in Definition, Data and Incidence

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Diana Walther ◽  
Patricia Halfon ◽  
David Desseauve ◽  
Yvan Vial ◽  
Bernard Burnand ◽  
...  
Keyword(s):  
Blood Loss ◽  
Electronic Health Records ◽  
Data Quality ◽  
Data Availability ◽  
University Hospital ◽  
Diagnostic Code ◽  
Health Records ◽  
Discharge Data ◽  
Diagnostic Codes ◽  
Electronic Health

IntroductionPostpartum hemorrhage (PPH) remains a major cause of morbidity and mortality worldwide. Geo-temporal comparisons of in-hospital PPH incidence remain a challenge due to differences in definition, data quality and the absence of accurate, validated indicators. Objectives and ApproachTo compare the incidence of PPH using different definitions to assess the need for a validated indicator. Singleton births from 2014-2016 at Lausanne University Hospital, Switzerland, were included. PPH was defined based on 1) clinical diagnosis using International Classification of Diseases (ICD-10-GM) PPH diagnostic codes, 2) volume of blood loss ≥500ml for vaginal births and ≥1000ml for cesareans 3) peripartum Hb change >2g/dl in vaginal births and ≥4g/dl in cesareans and 4) fulfillment of criteria from definition one, two or three. Data were extracted from hospital discharge data and linked with electronic health records. ResultsThere were 2529, 2660 and 2715 singleton births in 2014, 2015 and 2016, respectively, 28.8% were cesareans. Peripartum change in Hb was available for 17% of births. The incidence (95% CI) of PPH in 2014, 2015 and 2016 was, respectively: 1)6.0% (5.1, 7.0), 6.3% (5.4, 7.3) and 7.9% (6.9, 9.0) based on diagnostic codes; 2)7.9% (6.8, 9.0), 7.1% (6.2, 8.2) and 7.2% (6.3, 8.3) based on blood loss volumes; 3)2.4% (1.8, 3.1), 2.7% (2.1, 3.4) and 3.5% (2.9, 4.3) based on change in Hb; 4)11.3% (10.1, 12.6), 10.4% (9.3, 11.6) and 11.0% (9.9, 12.3) based on the combined definition. Differences in PPH incidence by year between definitions one and four, two and four and three and four were all statistically significant (McNemar p-values Conclusion/ImplicationsIncidence varied widely according to definition and data availability, not to mention data quality. Our results highlight the need for a validated PPH indicator to enable monitoring. Future prospects include the validation of a diagnostic code based PPH indicator aided by text mining in electronic health records.

scholarly journals Preeclampsia and Cardiovascular Disease in a Large UK Pregnancy Cohort of Linked Electronic Health Records

Circulation ◽  
2019 ◽  
Vol 140 (13) ◽  
pp. 1050-1060 ◽  
Author(s):  
Lydia J. Leon ◽  
Fergus P. McCarthy ◽  
Kenan Direk ◽  
Arturo Gonzalez-Izquierdo ◽  
David Prieto-Merino ◽  
...  
Keyword(s):  
Electronic Health Records ◽  
Cumulative Incidence ◽  
Chronic Hypertension ◽  
Cardiovascular Disorders ◽  
Hypertensive Disorders Of Pregnancy ◽  
Health Records ◽  
Hypertensive Disorders ◽  
Increased Risk ◽  
Electronic Health ◽  
The Impact

Background: The associations between pregnancy hypertensive disorders and common cardiovascular disorders have not been investigated at scale in a contemporaneous population. We aimed to investigate the association between preeclampsia, hypertensive disorders of pregnancy, and subsequent diagnosis of 12 different cardiovascular disorders. Methods: We used linked electronic health records from 1997 to 2016 to recreate a UK population-based cohort of 1.3 million women, mean age at delivery 28 years, with nearly 1.9 million completed pregnancies. We used multivariable Cox models to determine the associations between hypertensive disorders of pregnancy, and preeclampsia alone (term and preterm), with 12 cardiovascular disorders in addition to chronic hypertension. We estimated the cumulative incidence of a composite end point of any cardiovascular disorder according to preeclampsia exposure. Results: During the 20-year study period, 18 624 incident cardiovascular disorders were observed, 65% of which had occurred in women under 40 years. Compared to women without hypertension in pregnancy, women who had 1 or more pregnancies affected by preeclampsia had a hazard ratio of 1.9 (95% confidence interval 1.53–2.35) for any stroke, 1.67 (1.54–1.81) for cardiac atherosclerotic events, 1.82 (1.34–2.46) for peripheral events, 2.13 (1.64–2.76) for heart failure, 1.73 (1.38–2.16) for atrial fibrillation, 2.12 (1.49–2.99) for cardiovascular deaths, and 4.47 (4.32–4.62) for chronic hypertension. Differences in cumulative incidence curves, according to preeclampsia status, were apparent within 1 year of the first index pregnancy. Similar patterns of association were observed for hypertensive disorders of pregnancy, while preterm preeclampsia conferred slightly further elevated risks. Conclusions: Hypertensive disorders of pregnancy, including preeclampsia, have a similar pattern of increased risk across all 12 cardiovascular disorders and chronic hypertension, and the impact was evident soon after pregnancy. Hypertensive disorders of pregnancy should be considered as a natural screening tool for cardiovascular events, enabling cardiovascular risk prevention through national initiatives.

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