Severe maternal morbidity and Black-white differences in Washington State

Author(s):  
Bharti Garg ◽  
Alyssa Hersh ◽  
Aaron B. Caughey ◽  
Rachel A. Pilliod
2019 ◽  
Vol 220 (1) ◽  
pp. S189-S190
Author(s):  
Laura E. Sienas ◽  
Catherine Albright ◽  
Suzan Walker ◽  
Jane Hitti

2019 ◽  
Vol 220 (1) ◽  
pp. S177-S178
Author(s):  
Catherine M. Albright ◽  
Laura Sienas ◽  
Suzan Walker ◽  
Jane Hitti

Author(s):  
Laura Sienas ◽  
Catherine M. Albright ◽  
Suzan Walker ◽  
Jane Hitti

Objective Rising maternal mortality and severe maternal morbidity (SMM) rates have drawn increasing public health attention. We evaluated patterns of SMM across the Washington State Perinatal Regional Network, in which neonatal intensive care unit (NICU) levels correlate with maternal level of care. Study Design Retrospective cohort study using de-identified patient and hospital-level rates of SMM diagnoses and procedures for all women who delivered at 58 hospitals from October 2015 to September 2016. Data were obtained from the Washington State Comprehensive Hospital Abstract Reporting System, which includes inpatient diagnosis with associated Present on Admission flags, procedure, and discharge information derived from hospital billing systems. Deliveries were stratified by having or not having SMM. For each SMM diagnosis, POA rates were tabulated. Hospital SMM rates (all SMM, transfusion only, and SMM excluding transfusion) were grouped according to their NICU level of care (critical access [CA] and 1–4). Odds ratios and 95% confidence intervals (CI) were calculated. Results Of 76,961 deliveries, 908 women (1.2%) had any SMM including 533 with transfusion only and 375 with all other SMM diagnoses/procedures. Rates of SMM were highest at level 1 and level 4 hospitals at 1.3 and 1.5%, respectively. Level 1 and CA hospitals had the highest transfusion rate (1.0%), while level 2, 3, and 4 hospitals had progressively lower rates (0.8, 0.7, and 0.5%, respectively; p < 0.01). Level 4 hospitals had the highest rate of SMM diagnoses/procedures (1.0%). Among SMM diagnoses, the percentage with POA was lowest in level 1/CA hospitals (23%) and similar across level 2, 3, and 4 hospitals (39%). Conclusion SMM diagnoses occur most frequently at the centers providing the highest level of care, likely attributable to the regional referral system. However, transfusion rates are increased in level 1/CA hospitals. Efforts to decrease SMM should focus on equipping level 1/CA hospitals with tools to decrease maternal morbidity and improve referral systems. Key Points


2021 ◽  
Vol 224 (2) ◽  
pp. S113
Author(s):  
Bharti Garg ◽  
Alyssa R. Hersh ◽  
Aaron B. Caughey ◽  
Rachel A. Pilliod

2019 ◽  
Author(s):  
Natalie England ◽  
Julia Madill ◽  
Amy Metcalfe ◽  
Laura Magee ◽  
Stephanie Cooper ◽  
...  

2021 ◽  
Vol 224 (2) ◽  
pp. S257
Author(s):  
Ayesha SIDDIQUI ◽  
Catherine Deneux-Tharaux ◽  
Elizabeth Howell ◽  
Elie Azria

2021 ◽  
Vol 224 (2) ◽  
pp. S401-S402
Author(s):  
Marcela Smid ◽  
Amanda A. Allshouse ◽  
Kristine Campbell ◽  
Michelle P. Debbink ◽  
Adam G. Gordon ◽  
...  

Author(s):  
Jonathan M Snowden ◽  
Audrey Lyndon ◽  
Peiyi Kan ◽  
Alison El Ayadi ◽  
Elliott Main ◽  
...  

Abstract Severe maternal morbidity (SMM) is a composite outcome measure that indicates serious, potentially life-threatening maternal health problems. There is great interest in defining SMM using administrative data for surveillance and research. In the US, one common way of defining SMM at the population level is an index developed by the Centers for Disease Control and Prevention. Modifications have been proposed to this index (e.g., excluding maternal transfusion); some research defines SMM using an index introduced by Bateman et al. Birth certificate data are also increasingly being used to define SMM. We compared commonly used US definitions of SMM to each other among all California births, 2007-2012, using the Kappa statistic and other measures. We also evaluated agreement between maternal morbidity fields on the birth certificate compared to claims data. Concordance was generally low between the 7 definitions of SMM analyzed (i.e., κ &lt; 0.4 for 13 of 21 two-way comparisons), Low concordance was particularly driven by presence/absence of transfusion and claims data versus birth certificate definitions. Low agreement between administrative data-based definitions of SMM highlights that results can be expected to differ between them. Further research is needed on validity of SMM definitions, using more fine-grained data sources.


2021 ◽  
Vol 224 (2) ◽  
pp. S33
Author(s):  
Benjamin J. Lengerich ◽  
Rich Caruana ◽  
William B. Weeks ◽  
Ian Painter ◽  
Sydney Spencer ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document