Training nurse simulation educators at scale to improve maternal and newborn health: a case study from Bihar, India.

BACKGROUND: Simulation has been shown to improve clinical and behavioral skills of birth attendants in low-resource settings at a low scale. Populous, low-resource settings such as Bihar, India, require large cadres of simulation educators to improve maternal and newborn health. It's unknown if simulation facilitation skills can be adopted through a train of trainers' cascade. To fill this gap, we designed a study to evaluate the simulation and debrief knowledge, attitudes and skills of a third generation of 701 simulation educators in Bihar, India. In addition, we assessed the physical infrastructure where simulation takes place in 40 primary healthcare facilities in Bihar, India. METHODS: We performed a 1 year before-after intervention study to assess the simulation facilitation strengths and weaknesses of a cadre of 701 nurses in Bihar, India. The data included 701 pre-post knowledge and attitudes self-assessments; videos of simulations and associated debriefs conducted by 701 providers at 40 primary healthcare centers. RESULTS: We observed a statistically significant difference in knowledge and attitude scores before and after the 4-day PRONTO simulation educator training. The average number of participants in a simulation video was 5 participants (range 3-8). The average length of simulation videos was 10:21 minutes. The simulation educators under study, covered behavioral in 90% of debriefs and cognitive objectives were discussed in all debriefs. CONCLUSION: This is the first study assessing the simulation and debrief facilitation knowledge and skills of a cadre of 701 nurses in a low-resource setting. Simulation was implemented by local nurses at 353 primary healthcare centers in Bihar, India. Primary healthcare centers have the physical infrastructure to conduct simulation training. Some simulation skills such as communication via whiteboard were widely adopted. Advanced skills such as eliciting constructive feedback without judgment require practice.

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.

Super Divya to the rescue! Exploring Nurse Mentor Supervisor perceptions on a digital tool to support learning and engagement for simulation educators in Bihar, India.

BACKGROUND: Since 2014, the Government of Bihar and CARE India have implemented a nurse mentoring program that utilizes PRONTO International's simulation and team trainings to improve obstetric and neonatal care. Together they trained simulation educators known as Nurse Mentor Supervisors to conduct simulation trainings in rural health facilities across the state. Sustaining the knowledge and engagement of these simulation educators at a large-scale has proven difficult and resource intensive. To address this, the University of Utah with PRONTO International and with input from the University of California San Francisco, created an interactive, virtual education module based on a comic superhero named Super Divya to reinforce simulation educator concepts. This study examined the perceptions of Nurse Mentor Supervisors on Super Divya's accessibility, usefulness, and potential after implementation of Super Divya: Origin Story. METHODS: We conducted qualitative interviews with 17 Nurse Mentor Supervisors in Bihar, India. In light of the COVID-19 pandemic, interviews were conducted virtually via Zoom™ using a semi-structured interview guide in Hindi and English. Participants were identified with strict inclusion criteria and convenience sampling methods. Interviews were analyzed using a framework analysis. RESULTS: Nurse Mentor Supervisors found Super Divya to be engaging, innovative, relatable, and useful in teaching tips and tricks for simulation training. Supervisors thought the platform was largely accessible with some concerns around internet connectivity and devices. The majority reacted positively to the idea of distributing Super Divya to other simulation educators in the nurse mentoring program and had suggestions for additional clinical and simulation educator training topics. CONCLUSIONS: This study demonstrates the potential of Super Divya to engage simulation educators in continuous education. At a time when virtual education is increasingly important and in-person training was halted by the COVID-19 pandemic, Super Divya engaged Supervisors in the nurse mentoring program. We have incorporated suggestions for improvement of Super Divya into future modules. Further research can help understand how knowledge from Super Divya can improve simulation facilitation skills and behaviors, and explore potential for reinforcing clinical skills via this platform. ETHICAL APPROVAL: This study was approved by the institutional review board at the University of California San Francisco (IRB # 20-29902).

An integrated approach to improve maternal and perinatal outcomes in rural Guatemala: A stepped-wedge cluster randomized trial.

OBJECTIVE: To evaluate the impact of an intervention package on maternal and newborn health indicators. METHODS: A randomized stepped-wedge non-blind trial was conducted across six subdistricts within two districts in Guatemala from January 2014 to January 2017. Data on outcomes were collected on all deliveries in all 33 health centers. The intervention package included distribution of promotional materials encouraging health center delivery; education for traditional birth attendants about the importance of health center delivery; and provider capacity building using simulation training. Main outcomes were number of health center deliveries, maternal morbidity, and perinatal morbidity and mortality. RESULTS: Overall, there were 24 412 deliveries. Health center deliveries per 1000 live births showed an overall increase, although after adjustment for secular trends and clustering, the relative risk for the treatment effect was not statistically significant (aRR, 1.04; 95% confidence interval [CI], 0.97-1.11, P=0.242). Although not statistically significant, maternal morbidity (aRR, 0.78; 95% CI, 0.60-1.02; P=0.068) and perinatal morbidity (aRR, 0.84; 95% CI, 0.68-1.05; P=0.133) showed a tendency toward a decrease. CONCLUSION: The present study represents one of the few randomized evaluations of an integrated approach to improve birth outcomes in a low-income setting. ClinicalTrials.gov: NCT0315107.

Achieving a "Grand Convergence" in Global Health: Modeling the Technical Inputs, Costs, and Impacts from 2016 to 2030.

BACKGROUND: The Commission on Investing in Health published its report, GlobalHealth2035, in 2013, estimating an investment case for a grand convergence in health outcomes globally. In support of the drafting of the Sustainable Development Goals (SDGs), we estimate what the grand convergence investment case might achieve-and what investment would be required-by 2030. METHODS AND FINDINGS: Our projection focuses on a sub-set of low-income (LIC) or lower-middle-income countries (LMIC). We start with a country-based (bottom-up) analysis of the costs and impact of scaling up reproductive, maternal, and child health tools, and select HIV and malaria interventions. We then incorporate global (top-down) analyses of the costs and impacts of scaling up existing tools for tuberculosis, additional HIV interventions, the costs to strengthen health systems, and the costs and benefits from scaling up new health interventions over the time horizon of this forecast. These data are then allocated to individual countries to provide an aggregate projection of potential cost and impact at the country level. Finally, incremental costs of R&D for low-income economies and the costs of addressing NTDs are added to provide a global total cost estimate of the investment scenario. RESULTS: Compared with a constant coverage scenario, there would be more than 60 million deaths averted in LIC and 70 million deaths averted in LMIC between 2016 and 2030. For the years 2015, 2020, 2025, and 2030, the incremental costs of convergence in LIC would be (US billion) $24.3, $21.8, $24.7, and $27, respectively; in LMIC, the incremental costs would be (US billion) $34.75, $38.9, $48.7, and $56.3, respectively. CONCLUSION: Key health outcomes in low- and low-middle income countries can significantly converge with those of wealthier countries by 2030, and the notion of a "grand convergence" may serve as a unifying theme for health indicators in the SDGs.