Outcomes of the MAMA Training: A Simulation and Experiential Learning Intervention for Labor and Delivery Providers to Improve Respectful Maternity Care for Women Living with HIV in Tanzania.
Melissa H WattVirginie MarchandMariam L BarabaraLinda M MinjaMaya J StephensOlivia R HansonPendo S MlayGaudensia A OlomiJaneth F KiwiaBlandina T MmbagaSusanna R CohenPublished in: AIDS and behavior (2024)
Respectful maternity care (RMC) for women living with HIV (WLHIV) improves birth outcomes and may influence women's long-term commitment to HIV care. In this study, we evaluated the MAMA training, a team-based simulation training for labor and delivery (L&D) providers to improve RMC and reduce stigma in caring for WLHIV. The study was conducted in six clinical sites in the Kilimanjaro Region of Tanzania. 60 L&D providers participated in the MAMA training, which included a two-and-a-half-day workshop followed by a half-day on-site refresher. We assessed the impact of the MAMA training using a pre-post quasi-experimental design. To assess provider impacts, participants completed assessments at baseline and post-intervention periods, measuring RMC practices, HIV stigma, and self-efficacy to provide care. To evaluate patient impacts, we enrolled birthing women at the study facilities in the pre- (n = 229) and post- (n = 214) intervention periods and assessed self-reported RMC and perceptions of provider HIV stigma. We also collected facility-level data on the proportion of patients who gave birth by cesarean section, disaggregated by HIV status. The intervention had a positive impact on all provider outcomes; providers reported using more RMC practices, lower levels of HIV stigma, and greater self-efficacy to provide care for WLHIV. We did not observe differences in self-reported patient outcomes. In facility-level data, we observed a trend in reduction in cesarean section rates for WLHIV (33.0% vs. 24.1%, p = 0.14). The findings suggest that the MAMA training may improve providers' attitudes and practices in caring for WLHIV giving birth and should be considered for scale-up.
Keyphrases
- healthcare
- hiv aids
- primary care
- antiretroviral therapy
- virtual reality
- hiv positive
- palliative care
- randomized controlled trial
- hiv infected
- mental health
- hiv testing
- human immunodeficiency virus
- polycystic ovary syndrome
- pregnancy outcomes
- hepatitis c virus
- quality improvement
- mental illness
- men who have sex with men
- social support
- type diabetes
- metabolic syndrome
- electronic health record
- cervical cancer screening
- skeletal muscle
- big data
- artificial intelligence
- insulin resistance
- case report
- affordable care act
- glycemic control
- deep learning
- health insurance
- machine learning
- breast cancer risk
- long term care