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. 2020 Dec;10(2):021010.
doi: 10.7189/jogh.10.021010. Epub 2020 Dec 19.

Simulation and team training embedded nurse mentoring programme and improvement in intrapartum and newborn care in a low-resource setting in Bihar, India

Affiliations

Simulation and team training embedded nurse mentoring programme and improvement in intrapartum and newborn care in a low-resource setting in Bihar, India

Rakesh Ghosh et al. J Glob Health. 2020 Dec.

Abstract

Background: Improvement of the quality of maternal and child health care remains a focus in India. Working with the Government of Bihar, CARE-India facilitated a comprehensive set of quality of care improvement initiatives. PRONTO's simulation and team-training was incorporated into the large-scale Apatkaleen Matritva evam Navjat Tatparta (AMANAT)nurse-mentoring program of the Government of Bihar supported by CARE-India to improve maternal and child health outcomes. Along-with the AMANAT program, the PRONTO components provided training on nontechnical and technical competencies for managing a variety of obstetric and neonatal conditions, as a team. This study assessed the effectiveness of nurse-mentoring including simulations on intrapartum and newborn care practices in 320 basic emergency obstetric and neonatal care (BEmONC) facilities.

Methods: Deliveries were observed to obtain specific information on evidence-based practice (EBP) indicators before and after the intervention. Intrapartum and newborn care composite scores - were calculated using those EBP indicators. A web-based routine monitoring system provided total training days, weeks and days/week of training and counts of simulation and teamwork-communication activities. Multilevel linear regression was used to examine the exposure-outcome associations.

Results: The final analysis included 668 normal spontaneous vaginal deliveries (NSVDs) from 289 public health facilities in Bihar. Facility-level intrapartum and newborn scores improved by 37 and 26-percentage points, respectively, from baseline to endline. Compared to the bottom one-third facilities that performed fewest NSVD simulations, the top one-third had 6 (95% confidence interval (CI) = 1-12) percentage points higher intrapartum score. Similar comparison using maternal complication simulations yielded 7 (95% CI = 1-12) percentage point higher scores. The highest newborn scores were observed in the middle one-third of facilities relative to the bottom one-third that did the fewest NSVD simulations (5, 95% CI: 1-10).

Conclusions: Findings suggest significant overall improvement in intrapartum and newborn care practices after the AMANAT nurse-mentoring program in public sector BEmONC facilities. Simulation and team-training likely contributed towards the overall improvement, especially for intrapartum care.

Study registration: ClinicalTrials.gov number NCT02726230.

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Conflict of interest statement

Competing interests: Dilys Walker and Susanna Cohen are founding members of PRONTO International (a non-governmental organization) and sit on its board of directors. None of the other authors have any conflicts of interest to declare, neither there is any financial interest associated with this work. The authors completed the ICMJE Unified Competing Interest form (available upon request from the corresponding author), and declare no further conflicts of interest.

Figures

Figure 1
Figure 1
Flowchart of the implementation of the AMANAT program by phases and the geographic distribution of the facilities in the state of Bihar, India.
Figure 2
Figure 2
Change in intrapartum and newborn care practice scores (aggregated at the facility level) from baseline to endline by phases of the AMANAT intervention in Bihar, India 2015-2017, n = 203 facilities from DOD. *P-value from the paired t test, n for phases 1 through 4 and overall are 75, 69, 62, 72 and 203, respectively. The scores range from 0-100, with 0 referring to none and 100 referring to all of the evidence based practices being performed appropriately. Note: Phase 1 baseline was not conducted. Error bars represent standard deviation.

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