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

ABSTRACT: 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.

SUBMITTER: Dettinger JC

PROVIDER: S-EPMC6866198 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature

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

Dettinger Julia C JC Kamau Stephen S Calkins Kimberly K Cohen Susanna R SR Cranmer John J Kibore Minnie M Gachuno Onesmus O Walker Dilys D

Maternal & child nutrition 20180201

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 o ...[more]

PMID: 29493898

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Project description:BackgroundDespite expanding access to institutional birth in Guatemala, maternal mortality remains largely unchanged over the last ten years. Enhancing the quality of emergency obstetric and neonatal care is one important strategy to decrease mortality. An innovative, low-tech, simulation-based team training program (PRONTO) aims to optimize care provided during obstetric and neonatal emergencies in low-resource settings.MethodsWe conducted PRONTO simulation training between July 2012 and December 2012 in 15 clinics in Alta Verapaz, Huehuetenango, San Marcos, and Quiche, Guatemala. These clinics received PRONTO as part of a larger pair-matched cluster randomized trial of a comprehensive intervention package. Training participants were obstetric and neonatal care providers that completed pre- and post- training assessments for the two PRONTO training modules, which evaluated knowledge of evidence-based practice and self-efficacy in obstetric and neonatal topics. Part of the training included a session for trained teams to establish strategic goals to improve clinical practice. We utilized a pre/post-test design to evaluate the impact of the course on both knowledge and self-efficacy with longitudinal fixed effects linear regression with robust standard errors. Pearson correlation coefficients were used to assess the correlation between knowledge and self-efficacy. Poisson regression was used to assess the association between the number of goals achieved and knowledge, self-efficacy, and identified facility-level factors.ResultsKnowledge and self-efficacy scores improved significantly in all areas of teaching. Scores were correlated for all topics overall at training completion. More than 60 % of goals set to improve clinic functioning and emergency care were achieved. No predictors of goal achievement were identified.ConclusionsPRONTO training is effective at improving provider knowledge and self-efficacy in training areas. Further research is needed to evaluate the impact of the training on provider use of evidence-based practices and on maternal and neonatal health outcomes.Trial registrationNCT01653626.

Project description:BackgroundContracting in private sector is promoted in developing countries facing human resources shortages as a challenge to reduce maternal mortality. This study explored provision, practice, performance, barriers to execution and views about contracting in specialists for emergency obstetric care (EmOC) in rural India.MethodsFacility survey was conducted in all secondary and tertiary public health facilities (44) in three heterogeneous districts in Maharashtra state of India. Interviews (42) were conducted with programme managers and district and block level officials and with public and private EmOC specialists. Locations of private obstetricians in the study districts were identified and mapped.ResultsTwo schemes, namely Janani Suraksha Yojana and Indian Public Health standards (IPHS) provided for contracting in EmOC specialists. The IPHS provision was chosen for use mainly due to greater sum for contracting in (US $ 30/service episode vs.300 US$/month). The positions of EmOC specialists were vacant in 83% of all facilities that hence had a potential for contracting in EmOC specialists. Private specialists were contracted in at 20% such facilities. The contracting in of specialists did not greatly increase EmOC service outputs at facilities, except in facilities with determined leadership. Contracting in specialists was useful for non emergency conditions, but not for obstetric emergencies. The contracts were more of a relational nature with poor monitoring structures. Inadequate infrastructure, longer distance to private specialists, insufficient financial provision for contracting in, and poor management capacities were barriers to effective implementation of contracting in. Dependency on the private sector was a concern among public partners while the private partners viewed contracting in as an opportunity to gain experience and credibility.ConclusionsDensity and geographic distribution of private specialists are important influencing factors in determining feasibility and use of contracting in for EmOC. Local circumstances dictate balance between introduction or expansion of contracts with private sector and strengthening public provisions and that neither of these disregard the need to strengthen public systems. Sustainability of contracting in arrangements, their effect on increasing coverage of EmOC services in rural areas and overlapping provisions for contracting in EmOC specialists are issues for future consideration.

Project description:Over the last decade, spatial capture-recapture (SCR) models have become widespread for estimating demographic parameters in ecological studies. However, the underlying assumptions about animal movement and space use are often not realistic. This is a missed opportunity because interesting ecological questions related to animal space use, habitat selection, and behavior cannot be addressed with most SCR models, despite the fact that the data collected in SCR studies - individual animals observed at specific locations and times - can provide a rich source of information about these processes and how they relate to demographic rates. We developed SCR models that integrated more complex movement processes that are typically inferred from telemetry data, including a simple random walk, correlated random walk (i.e., short-term directional persistence), and habitat-driven Langevin diffusion. We demonstrated how to formulate, simulate from, and fit these models with standard SCR data using data-augmented Bayesian analysis methods. We evaluated their performance through a simulation study, in which we varied the detection, movement, and resource selection parameters. We also examined different numbers of sampling occasions and assessed performance gains when including auxiliary location data collected from telemetered individuals. Across all scenarios, the integrated SCR movement models performed well in terms of abundance, detection, and movement parameter estimation. We found little difference in bias for the simple random walk model when reducing the number of sampling occasions from T = 25 to T = 15. We found some bias in movement parameter estimates under several of the correlated random walk scenarios, but incorporating auxiliary location data improved parameter estimates and significantly improved mixing during model fitting. The Langevin movement model was able to recover resource selection parameters from standard SCR data, which is particularly appealing because it explicitly links the individual-level movement process with habitat selection and population density. We focused on closed population models, but the movement models developed here can be extended to open SCR models. The movement process models could also be easily extended to accommodate additional "building blocks" of random walks, such as central tendency (e.g., territoriality) or multiple movement behavior states, thereby providing a flexible and coherent framework for linking animal movement behavior to population dynamics, density, and distribution.

Project description:BackgroundAlthough safe motherhood strategies recommend that women seek timely care from health facilities for obstetric complications, few studies have described facility availability of emergency obstetric care (EmOC). We sought to describe and compare availability and readiness to provide EmOC among public and private health facilities commonly visited for pregnancy-related complications in two districts of northwest Bangladesh. We also described aspects of financial and geographic access to healthcare and key constraints to EmOC provision.MethodsUsing data from a large population-based community trial, we identified and surveyed the 14 health facilities (7 public, 7 private) most frequently visited for obstetric complications and near misses as reported by women. Availability of EmOC was based on provision of medical services, assessed through clinician interviews and record review. Levels of EmOC availability were defined as basic or comprehensive. Readiness for EmOC provision was based on scores in four categories: staffing, equipment, laboratory capacity, and medicines. Readiness scores were calculated using unweighted averages. Costs of C-section procedures and geographic locations of facilities were described. Textual analysis was used to identify key constraints.ResultsThe seven surveyed private facilities offered comprehensive EmOC compared to four of the seven public facilities. With 100% representing full readiness, mean EmOC readiness was 81% (range: 63%-91%) among surveyed private facilities compared to 67% (range: 48%-91%) in public facilities (p = 0.040). Surveyed public clinics had low scores on staffing and laboratory capacity (69%; 50%). The mean cost of the C-section procedure in private clinics was $77 (standard deviation: $16) and free in public facilities. The public sub-district facilities were the only facilities located in rural areas, with none providing comprehensive EmOC. Shortages in specialized staff were listed as the main barrier to EmOC provision in public facilities.ConclusionsAlthough EmOC availability and readiness was higher among the surveyed seven most commonly visited private clinics, public facilities appeared to be more affordable for C-section and more geographically accessible. Strategies to retain anesthesiologists and surgeons, such as non-financial incentives, are needed to improve EmOC provision in the public sector. Centralized blood banks are recommended to streamline safe blood acquisition for obstetric surgeries.

Dataset Information

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

Publications

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

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