Abstract
Purpose Describe how Ohio and Massachusetts explored severe maternal morbidity (SMM) data, and used these data for increasing awareness and driving practice changes to reduce maternal morbidity and mortality. Description For 2008–2013, Ohio used de-identified hospital discharge records and International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes to identify delivery hospitalizations. Massachusetts used existing linked data system infrastructure to identify delivery hospitalizations from birth certificates linked to hospital discharge records. To identify delivery hospitalizations complicated by one or more of 25 SMMs, both states applied an algorithm of ICD-9-CM diagnosis and procedure codes. Ohio calculated a 2013 SMM rate of 144 per 10,000 delivery hospitalizations; Massachusetts calculated a rate of 162. Ohio observed no increase in the SMM rate from 2008 to 2013; Massachusetts observed a 33% increase. Both identified disparities in SMM rates by maternal race, age, and insurance type. Assessment Ohio and Massachusetts engaged stakeholders, including perinatal quality collaboratives and maternal mortality review committees, to share results and raise awareness about the SMM rates and identified high-risk populations. Both states are applying findings to inform strategies for improving perinatal outcomes, such as simulation training for obstetrical emergencies, licensure rules for maternity units, and a focus on health equity. Conclusion Despite data access differences, examination of SMM data informed public health practice in both states. Ohio and Massachusetts maximized available state data for SMM investigation, which other states might similarly use to understand trends, identify high risk populations, and suggest clinical or population level interventions to improve maternal morbidity and mortality.
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Acknowledgements
The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention. The authors declare that they have no conflicts of interest. The authors would like to acknowledge Don Reed and Ayana Birhanu from the Ohio Department of Health for assistance with data analysis; Ron Benham, Karin Downs, Emily Lu, Tim Nielsen, and Xiaohui Cui from the Massachusetts Department of Public Health; the Ohio Hospital Association for access to data and review of findings, the CDC/MCHEP, UIC, CSTE, CDC/EIS.
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Conrey, E.J., Manning, S.E., Shellhaas, C. et al. Severe Maternal Morbidity, A Tale of 2 States Using Data for Action—Ohio and Massachusetts. Matern Child Health J 23, 989–995 (2019). https://doi.org/10.1007/s10995-019-02744-1
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DOI: https://doi.org/10.1007/s10995-019-02744-1