Simulation and team training to improve preterm birth knowledge, evidence-based practices, and communication skills in midwives in Kenya and Uganda: Findings from a pre- and post-intervention analysis.

Simulation training in basic and emergency obstetric and neonatal care has previously shown success in reducing maternal and neonatal mortality in low-resource settings. Though preterm birth is the leading cause of neonatal deaths, application of this training methodology geared specifically towards reducing preterm birth mortality and morbidity has not yet been implemented and evaluated. The East Africa Preterm Birth Initiative (PTBi-EA) was a multi-country cluster randomized controlled (CRCT) trial that successfully improved outcomes of preterm neonates in Migori County, Kenya and the Busoga region of Uganda through an intrapartum package of interventions. PRONTO simulation and team training (STT) was one component of this package and was introduced to maternity unit providers in 13 facilities. This analysis was nested within the larger CRCT and specifically looked at the impact of the STT portion of the intervention package. The PRONTO STT curriculum was modified to emphasize prematurity-related intrapartum and immediate postnatal care practices, such as assessment of gestational age, identification of preterm labour, and administration of antenatal corticosteroids. Knowledge and communication techniques were assessed at the beginning and end of the intervention through a multiple-choice knowledge test. Clinical skills and communication techniques used in context were assessed through the use of evidence-based practiced (EBPs) as documented in video-recorded simulations through StudioCodeTM video analysis. Pre-and-post scores were compared in both categories using Chi-squared tests. Knowledge assessment scores improved from 51% to 73% with maternal-related questions improving from 61% to 74%, neonatal questions from 55% to 73%, and communication technique questions from 31% to 71%. The portion of indicated preterm birth EBPs performed in simulation increased from 55% to 80% with maternal-related EBPs improving from 48% to 73%, neonatal-related EBPs from 63% to 93%, and communication techniques from 52% to 69%. STT substantially increased preterm birth-specific knowledge and EBPs performed in simulation.

Super Divya, an Interactive Digital Storytelling Instructional Comic Series to Sustain Facilitation Skills of Labor and Delivery Nurse Mentors in Bihar, India-A Pilot Study.

To improve the quality of intrapartum care in public health facilities of Bihar, India, a statewide quality improvement program was implemented. Nurses participated in simulation sessions to improve their clinical, teamwork, and communication skills. Nurse mentors, tasked with facilitating these sessions, received training in best practices. To support the mentors in the on-going facilitation of these trainings, we developed a digital, interactive, comic series starring "Super Divya", a simulation facilitation superhero. The objective of these modules was to reinforce key concepts of simulation facilitation in a less formal and more engaging way than traditional didactic lessons. This virtual platform offers the flexibility to watch modules frequently and at preferred times. This pilot study involved 205 simulation educators who were sent one module at a time. Shortly before sending the first module, nurses completed a baseline knowledge survey, followed by brief surveys after each module to assess change in knowledge. Significant improvements in knowledge were observed across individual scores from baseline to post-survey. A majority found Super Divya modules to be acceptable and feasible to use as a learning tool. However, a few abstract concepts in the modules were not well-understood, suggesting that more needs to be done to communicate their core meaning of these concepts.

Provider knowledge and perceptions following an integrated simulation training on emergency obstetric and neonatal care and respectful maternity care: A mixed-methods study in Ghana.

INTRODUCTION: Little is known about the effect of integrating respectful maternity care into clinical training programs. We sought to examine the effectiveness of an integrated simulation training on emergency obstetric and neonatal care and respectful maternity care on providers' knowledge and self-efficacy, and to asess providers' perceptions of the integrated training. METHODS: The project was piloted in East Mamprusi district in Northern Ghana. Forty-three maternity providers were trained, with six participants trained as Simulation Facilitators. Data are from self-administered evaluation forms (with structured and open-ended questions) from all 43 providers and in-depth interviews with 17 providers. We conducted descriptive quantitative analysis and framework qualitative analysis. RESULTS: Provider knowledge increased from an average of 61.6% at pre-test to 74.5% at post-test. Self-efficacy also increased from an average of 5.8/10 at pretest to 9.2/10 at post-test. Process evaluation data showed that providers valued the training. Over 95% of participants agreed that the training was useful to them and that they will use the tools learned in the training in their practice. Overall, providers had positive perceptions of the training. They noted improvements in their knowledge and confidence to manage obstetric and neonatal emergencies, as well as in patient-provider communication and teamwork. Many listed respectful maternity care elements as what was most impactful to them from the training. CONCLUSIONS: Simulation and team-training on emergency obstetric and neonatal care, combined with respectful maternity care content, can enable health care providers to improve both their clinical and interpersonal knowledge and skills in a training setting that reflects their complex and stressful work environments. Our findings suggest this type of training is feasible, acceptable, and effective in limited-resource settings. Uptake of such trainings could drive efforts towards providing high quality safe, responsive, and respectful obstetric and neonatal care.

Measuring movement towards improved emergency obstetric care in rural Kenya with implementation of the PRONTO simulation and team training program.

As the proportion of facility-based births increases, so does the need to ensure that mothers and their newborns receive quality care. Developing facility-oriented obstetric and neonatal training programs grounded in principles of teamwork utilizing simulation-based training for emergency response is an important strategy for improving the quality care. This study uses 3 dimensions of the Kirkpatrick Model to measure the impact of PRONTO International (PRONTO) simulation-based training as part of the Linda Afya ya Mama na Mtoto (LAMMP, Protect the Health of mother and child) in Kenya. Changes in knowledge of obstetric and neonatal emergency response, self-efficacy, and teamwork were analyzed using longitudinal, fixed-effects, linear regression models. Participants from 26 facilities participated in the training between 2013 and 2014. The results demonstrate improvements in knowledge, self-efficacy, and teamwork self-assessment. When comparing pre-Module I scores with post-training scores, improvements range from 9 to 24 percentage points (p values < .0001 to .026). Compared to baseline, post-Module I and post-Module II (3 months later) scores in these domains were similar. The intervention not only improved participant teamwork skills, obstetric and neonatal knowledge, and self-efficacy but also fostered sustained changes at 3 months. The proportion of facilities achieving self-defined strategic goals was high: 95.8% of the 192 strategic goals. Participants rated the PRONTO intervention as extremely useful, with an overall score of 1.4 out of 5 (1, extremely useful; 5, not at all useful). Evaluation of how these improvements affect maternal and perinatal clinical outcomes is forthcoming.

Beyond signal functions in global obstetric care: Using a clinical cascade to measure emergency obstetric readiness.

BACKGROUND: Globally, the rate of reduction in delivery-associated maternal and perinatal mortality has been slow compared to improvements in post-delivery mortality in children under five. Improving clinical readiness for basic obstetric emergencies is crucial for reducing facility-based maternal deaths. Emergency readiness is commonly assessed using tracers derived from the maternal signal functions model. OBJECTIVE-METHOD: We compare emergency readiness using the signal functions model and a novel clinical cascade. The cascades model readiness as the proportion of facilities with resources to identify the emergency (stage 1), treat it (stage 2) and monitor-modify therapy (stage 3). Data were collected from 44 Kenyan clinics as part of an implementation trial. FINDINGS: Although most facilities (77.0%) stock maternal signal function tracer drugs, far fewer have resources to practically identify and treat emergencies. In hypertensive emergencies for example, 38.6% of facilities have resources to identify the emergency (Stage 1 readiness, including sphygmomanometer, stethoscope, urine collection device, protein test). 6.8% have the resources to treat the emergency (Stage 2, consumables (IV Kit, fluids), durable goods (IV pole) and drugs (magnesium sulfate and hydralazine). No facilities could monitor or modify therapy (Stage 3). Across five maternal emergencies, the signal functions overestimate readiness by 54.5%. A consistent, step-wise pattern of readiness loss across signal functions and care stage emerged and was profoundly consistent at 33.0%. SIGNIFICANCE: Comparing estimates from the maternal signal functions and cascades illustrates four themes. First, signal functions overestimate practical readiness by 55%. Second, the cascade's intuitive indicators can support cross-sector health system or program planners to more precisely measure and improve emergency care. Third, adding few variables to existing readiness inventories permits step-wise modeling of readiness loss and can inform more precise interventions. Fourth, the novel aggregate readiness loss indicator provides an innovative and intuitive approach for modeling health system emergency readiness. Additional testing in diverse contexts is warranted.