Giving Birth With a Midwife in Attendance: Associations of Race and Insurance Status With Continuity of Midwifery Care in Philadelphia.

INTRODUCTION: From 2013 to 2019, Black women comprised 73% of pregnancy-related deaths in Philadelphia. There is currently a dearth of research on the continuity of midwifery care from initiation of prenatal care through birth in relation to characteristics such as race/ethnicity and income. The aim of this study was to investigate whether race/ethnicity and insurance status were associated with the likelihood of a pregnant person who begins prenatal care with a midwife to remain in midwifery care for birth attendance. METHODS: This was a retrospective cohort study of a diverse population of pregnant patients who gave birth in a large tertiary care hospital and had their first prenatal visit with a certified nurse-midwife (CNM) between June 2, 2009, and June 30, 2020 (n = 5121). We used multivariable, log-binomial regression models to calculate risk ratios of transferring to physician care (vs remaining within CNM care), adjusted for age, race/ethnicity, prepregnancy body mass index, insurance type, and comorbidities. RESULTS: After adjusting for pregnancy-related risk factors, non-Hispanic Black patients (adjusted relative risk [aRR], 1.14; 95% CI, 1.04-1.24) and publicly insured patients (aRR, 1.11; 95% CI, 1.01-1.22) were at higher risk of being transferred to physician care compared with non-Hispanic White and privately insured patients. Secondary analysis revealed that non-Hispanic Black patients had higher risk of transferring and having an operative birth (aRR, 1.35; 95% CI, 1.18-1.55), whereas publicly insured patients were at higher risk of being transferred for reasons other than operative births (aRR, 1.35; 95% CI, 1.18-1.54). DISCUSSION: These findings indicate that Black and publicly insured patients were more likely than White and privately insured patients to transfer to physician care even after adjustment for comorbid conditions. Thus, further research is needed to identify the factors that contribute to racial and economic disparity in continuity of midwifery care.

Collecting genetic samples and linked mental health data from adolescents in schools: protocol coproduction and a mixed-methods pilot of feasibility and acceptability.

OBJECTIVES: To coproduce a school-based protocol and examine acceptability and feasibility of collecting saliva samples for genetic studies from secondary/high school students for the purpose of mental health research. DESIGN: Protocol coproduction and mixed-methods feasibility pilot. SETTING: Secondary schools in Wales, UK. PARTICIPANTS: Students aged 11-13 years. PRIMARY AND SECONDARY OUTCOME MEASURES: Coproduced research protocol including an interactive science workshop delivered in schools; school, parental and student recruitment rates; adherence to protocol and adverse events; ability to extract and genotype saliva samples; student enjoyment of the science workshop and qualitative analysis of teacher focus groups on acceptability and feasibility. RESULTS: Five secondary schools participated in the coproduction phase, and three of these took part in the research study (eligible sample n=868 students). Four further schools were subsequently approached, but none participated. Parental opt-in consent was received from 98 parents (11.3% eligible sample), three parents (0.3%) actively refused and responses were not received for 767 (88.4%) parents. We obtained saliva samples plus consent for data linkage for 79 students. Only one sample was of insufficient quality to be genotyped. The science workshop received positive feedback from students. Feedback from teachers showed that undertaking research like this in schools is viewed as acceptable in principle, potentially feasible, but that there are important procedural barriers to be overcome. Key recommendations include establishing close working relationships between the research team and school classroom staff, together with improved methods for communicating with and engaging parents. CONCLUSIONS: There are major challenges to undertaking large-scale genetic mental health research in secondary schools. Such research may be acceptable in principle, and in practice DNA collected from saliva in classrooms is of sufficient quality. However, key challenges that must be overcome include ensuring representative recruitment of schools and sufficient parental engagement where opt-in parental consent is required.

Clinical indicators of treatment-resistant psychosis.

BACKGROUND: Around 30% of individuals with schizophrenia remain symptomatic and significantly impaired despite antipsychotic treatment and are considered to be treatment resistant. Clinicians are currently unable to predict which patients are at higher risk of treatment resistance. AIMS: To determine whether genetic liability for schizophrenia and/or clinical characteristics measurable at illness onset can prospectively indicate a higher risk of treatment-resistant psychosis (TRP). METHOD: In 1070 individuals with schizophrenia or related psychotic disorders, schizophrenia polygenic risk scores (PRS) and large copy number variations (CNVs) were assessed for enrichment in TRP. Regression and machine-learning approaches were used to investigate the association of phenotypes related to demographics, family history, premorbid factors and illness onset with TRP. RESULTS: Younger age at onset (odds ratio 0.94, P = 7.79 × 10-13) and poor premorbid social adjustment (odds ratio 1.64, P = 2.41 × 10-4) increased risk of TRP in univariate regression analyses. These factors remained associated in multivariate regression analyses, which also found lower premorbid IQ (odds ratio 0.98, P = 7.76 × 10-3), younger father's age at birth (odds ratio 0.97, P = 0.015) and cannabis use (odds ratio 1.60, P = 0.025) increased the risk of TRP. Machine-learning approaches found age at onset to be the most important predictor and also identified premorbid IQ and poor social adjustment as predictors of TRP, mirroring findings from regression analyses. Genetic liability for schizophrenia was not associated with TRP. CONCLUSIONS: People with an earlier age at onset of psychosis and poor premorbid functioning are more likely to be treatment resistant. The genetic architecture of susceptibility to schizophrenia may be distinct from that of treatment outcomes.