Centering Equity and Fostering Stakeholder Collaboration and Trust-Pillars of the Maternal Health Innovation Program in Maryland.

Objective: To describe two main pillars of the Maryland Maternal Health Innovation Program (MDMOM): (1) centering equity and (2) fostering broad stakeholder collaboration and trust. Methods: We summarized MDMOM's key activities and used severe maternal morbidity (SMM) surveillance and program monitoring data to quantify MDMOM's work on the two pillars. We developed measures of hospital engagement with MDMOM (participation in quality improvement [QI] activities, participation in check-in meetings, staff involvement) and with other partners (participation in QI activities, representation in state-level groups). We examined Bonferroni-adjusted correlations between these hospital engagement measures and with key hospital characteristics: level of maternity care, annual delivery volume, and SMM rate. Results: Over 100 national and state organizations and individual stakeholders contributed to our building the MDMOM program and implementing key activities centering equity: hospital-based SMM surveillance in 20 of Maryland's 32 hospitals; almost 5,000 trainings offered to perinatal health care providers; two telemedicine/telehealth interventions; training of home visitors and community-based organization staff. Birthing hospitals represent MDMOM's main implementation partners. The strength of their participation in MDMOM QI activities is positively correlated to their participation in check-in meetings and with the degree of involvement by physicians in such activities. Higher engagement in MDMOM QI activities is also positively correlated to hospitals' participation in other state-level maternal health initiatives or groups. Conclusion: Our experience with the MDMOM program demonstrates that an equity focus and broad stakeholder collaboration building strong relationships and providing implementation support can lead to high levels of engagement in innovative maternal health interventions.

Development of an instrument to measure awareness and mitigation of bias in maternal healthcare.

BACKGROUND: Implicit bias among maternal healthcare professionals contributes to disrespectful care and racial and ethnic disparities in patient outcomes, and there is growing consensus that implicit bias training is a key component of birth equity initiatives. A requirement for implicit bias training for healthcare professionals has become more widespread, but the impact training has is largely unknown, in part, because of a lack of validated instruments. Therefore, there is an urgent need for a psychometrically valid instrument for use in the evaluation of implicit bias training. OBJECTIVE: This study aimed to develop a valid and reliable instrument to assess implicit bias awareness and mitigation practices among maternal care professionals and that can be used to evaluate interventions aimed at mitigating such bias in clinical practice. STUDY DESIGN: We conducted an instrument development and validation study in 3 phases. In phase 1, item development, we generated a 43-item bank from literature and consultation and established content validity with subject matter experts. In phase 2, instrument development, we administered a revised set of 33 items to 307 nurses and midwives and conducted exploratory factor analysis to demonstrate construct validity and reliability. In phase 3, instrument evaluation, we confirmed the factor structure and compared the means of implicit bias training-exposed and -unexposed participants to further demonstrate construct validity with a representative state sample of 2096 maternal healthcare professionals (physicians, midwives, and nurses). RESULTS: Based on phase 2 results, we retained 23 items for the Bias in Maternal Health Care scale, which showed high internal consistency (Cronbach's alpha, 0.86). We identified 3 subscales, namely a 9-item Bias Awareness subscale (Cronbach's alpha, 0.86), a 7-item Bias Mitigation Practice subscale (Cronbach's alpha, 0.82), and a 7-item Bias Mitigation Self-Efficacy subscale (Cronbach's alpha, 0.81). Validation of the Bias Awareness and Bias Mitigation Practice subscales in phase 3 demonstrated the instrument's high reliability (Cronbach's alpha 0.86 and 0.83, respectively) and discriminating performance among maternal healthcare professionals. CONCLUSION: We developed a reliable and valid instrument for measuring awareness and mitigation of bias among maternal healthcare professionals. It can be used to evaluate implicit bias training and other bias mitigation interventions in maternal healthcare settings.