ABSTRACT
ABSTRACT: The overturning of Roe v Wade has resulted in the loss of reproductive rights for millions of women in the United States. It has also put these women at risk of severe mental and physical health consequences. When legal abortions are restricted, there is a rise in illegal abortion with the risk of hemorrhage, infection, infertility, and death. There are many more risks of carrying a pregnancy to term than health or psychological risks of a legal abortion. Women who have a miscarriage risk having to prove they did not abort. In cases of medical emergencies, doctors may be restricted from performing life-saving abortions for fear of penalties. Women or children who have been victims of rape or incest will have to either have an illegal abortion or carry an unwanted pregnancy to term. In states that allow an abortion in cases of severe risk to a mother's health, panels of internists and psychiatrist may, again, be charged with deciding whether her risks are valid. Women's physical and mental health will suffer.
Subject(s)
Mental Health , Physicians , Female , Pregnancy , Child , Humans , Anxiety , FearSubject(s)
COVID-19/psychology , Black or African American , Asian , COVID-19/epidemiology , Female , Hispanic or Latino , Humans , Pandemics , Racism , SARS-CoV-2 , Stress, Psychological/psychology , Women's Health , Work-Life BalanceABSTRACT
We developed algorithms to identify pregnant women with suicidal behavior using information extracted from clinical notes by natural language processing (NLP) in electronic medical records. Using both codified data and NLP applied to unstructured clinical notes, we first screened pregnant women in Partners HealthCare for suicidal behavior. Psychiatrists manually reviewed clinical charts to identify relevant features for suicidal behavior and to obtain gold-standard labels. Using the adaptive elastic net, we developed algorithms to classify suicidal behavior. We then validated algorithms in an independent validation dataset. From 275,843 women with codes related to pregnancy or delivery, 9331 women screened positive for suicidal behavior by either codified data (N = 196) or NLP (N = 9,145). Using expert-curated features, our algorithm achieved an area under the curve of 0.83. By setting a positive predictive value comparable to that of diagnostic codes related to suicidal behavior (0.71), we obtained a sensitivity of 0.34, specificity of 0.96, and negative predictive value of 0.83. The algorithm identified 1423 pregnant women with suicidal behavior among 9331 women screened positive. Mining unstructured clinical notes using NLP resulted in a 11-fold increase in the number of pregnant women identified with suicidal behavior, as compared to solely reliance on diagnostic codes.
Subject(s)
Electronic Health Records , International Classification of Diseases/standards , Natural Language Processing , Pregnancy Complications , Suicidal Ideation , Algorithms , Data Mining , Female , Humans , PregnancyABSTRACT
PURPOSE: Placentophagy (maternal consumption of the placenta) has become increasingly prevalent in the past decade among women seeking to promote health and healing during the postpartum period. The purpose of this study was to assess patient and provider familiarity with and attitudes toward placentophagy, as well as patients' willingness to try placentophagy. METHODS: Two cross-sectional surveys with questions regarding placentophagy practice were distributed to healthcare providers and patients. The provider survey was distributed via email listservers to international perinatal professional organizations and to obstetrics and gynecology, nurse midwifery, family medicine, and psychiatry departments at three urban hospitals. Patient surveys were administered in person at an urban hospital in Chicago, Illinois. RESULTS: Approximately two thirds (66%; n = 100) of patients and most (89%; n = 161) of providers were familiar with placentophagy. Patients with a history of a self-reported mental health disorder were more likely to be willing to consider placentophagy and to believe that healthcare providers should discuss it with their patients. CONCLUSIONS: Most providers and patients have heard of placentophagy but are unsure of its benefits and/or risks. Further research examining the potential therapeutic efficacy and/or risks of placentophagy is needed.
