Implementing the Emergency Triage, Assessment and Treatment plus admission care (ETAT+) clinical practice guidelines to improve quality of hospital care in Rwandan district hospitals: healthcare workers' perspectives on relevance and challenges

Capacity for delivery of paediatric emergency care and the current use of emergency triage, assessment and treatment in health facilities in the Busoga region, Uganda-A mixed methods study

The implementation of structured guidelines, such as the World Health Organisation's Emergency Triage, Assessment and Treatment has been shown to reduce in-hospital mortality, addressing the high burden of early in-hospital deaths. We evaluated the capacity to provide paediatric emergency care at higher-level health facilities in the Busoga sub-region, Uganda, and explored healthcare workers' perceptions of quality care. This assessment aimed to inform policy and facilitate the implementation of guidelines. A comprehensive mixed-methods study was conducted, comprising a facility audit, a survey of healthcare providers to assess their knowledge, and focus group discussions with facility staff. The study included all public and private not-for-profit facilities that provide in-patient paediatric care in Busoga. Quantitative data were analysed using descriptive statistics and linear regression, while thematic analysis with the framework method approach was applied to qualitative data. A total of 14 focus group discussions, 14 facility audits, and 100 surveys with healthcare providers were conducted. Essential equipment for paediatric emergencies and staff shortages were identified as primary barriers to quality care and key contributors to worker demotivation. Referrals were one of the main challenges, with only 25% of facilities accessing a fuelled ambulance. Knowledge scores were higher among healthcare professionals who had undergone emergency management training and participated in refresher courses (mean 13.2, 95% CI 11.6-14.8, compared to 9.2, 95% CI 8.0-10.3). Participants who felt well-prepared achieved markedly higher scores on knowledge surveys than those feeling unprepared (mean 12.2, 95% CI 11.2-13.1, versus mean 8.5, 95% CI 7.3-9.7). Qualitative discussions demonstrated positive attitudes of healthcare workers toward ETAT guidelines. Results underscore the importance of focused training with refresher sessions to enhance health workers' knowledge and confidence in managing paediatric emergency cases. However, substantial limitations in staffing numbers and the availability of necessary equipment need to be addressed for overall quality of care improvement.

Comparison between the Smart Triage model and the Emergency Triage Assessment and Treatment guidelines in triaging children presenting to the emergency departments of two public hospitals in Kenya

Several triage systems have been developed, but little is known about their performance in low-resource settings. Evaluating and comparing novel triage systems to existing triage scales provides essential information about their added value, reliability, safety, and effectiveness before adoption. This study included children aged < 15 years who presented to the emergency departments of two public hospitals in Kenya between February and December 2021. We compared the performance of Emergency Triage Assessment and Treatment (ETAT) guidelines and Smart Triage (ST) models (ST model with independent triggers, and recalibrated ST model with independent triggers) in categorizing children into emergency, priority, and non-urgent triage categories. Sankey diagrams were used to visualize the distribution of children into similar or different triage categories by ETAT and ST models. Sensitivity, specificity, negative and positive predictive values for mortality and admission were calculated. 5618 children were enrolled, and the majority (3113, 55.4%) were aged between one and five years of age. Overall admission and mortality rates were 7% and 0.9%, respectively. ETAT classified 513 (9.2%) children into the emergency category compared to 1163 (20.8%) and 1161 (20.7%) by the ST model with independent triggers and recalibrated model with independent triggers, respectively. ETAT categorized 3089 (55.1%) children as non-urgent compared to 2097 (37.4%) and 2617 (46.7%) for the respective ST models. ETAT classified 191/395 (48.4%) admitted patients as emergencies compared to more than half by all the ST models. ETAT and ST models classified 25/49 (51%) and 39/49 (79.6%) deceased children as emergencies. Sensitivity for admission and mortality was 48.4% and 51% for ETAT and 74.9% and 79.6% for the ST models, respectively. Smart Triage shows potential for identifying critically ill children in low-resource settings, particularly when combined with independent triggers and performs comparably to ETAT. Evaluation of Smart Triage in other contexts and comparison to other triage systems is required.

Geographical validation of the Smart Triage Model by age group

Infectious diseases in neonates account for half of the under-five mortality in low- and middle-income countries. Data-driven algorithms such as clinical prediction models can be used to efficiently detect critically ill children in order to optimize care and reduce mortality. Thus far, only a handful of prediction models have been externally validated and are limited to neonatal in-hospital mortality. The aim of this study is to externally validate a previously derived clinical prediction model (Smart Triage) using a combined prospective baseline cohort from Uganda and Kenya with a composite endpoint of hospital admission, mortality, and readmission. We evaluated model discrimination using area under the receiver-operator curve (AUROC) and visualized calibration plots with age subsets (< 30 days, ≤ 2 months, ≤ 6 months, and < 5 years). Due to reduced performance in neonates (< 1 month), we re-estimated the intercept and coefficients and selected new thresholds to maximize sensitivity and specificity. 11595 participants under the age of five (under-5) were included in the analysis. The proportion with an endpoint ranged from 8.9% in all children under-5 (including neonates) to 26% in the neonatal subset alone. The model achieved good discrimination for children under-5 with AUROC of 0.81 (95% CI: 0.79-0.82) but poor discrimination for neonates with AUROC of 0.62 (95% CI: 0.55-0.70). Sensitivity at the low-risk thresholds (CI) were 85% (83%-87%) and 68% (58%-76%) for children under-5 and neonates, respectively. After model revision for neonates, we achieved an AUROC of 0.83 (95% CI: 0.79-0.87) with 13% and 41% as the low- and high-risk thresholds, respectively. The updated Smart Triage performs well in its predictive ability across different age groups and can be incorporated into current triage guidelines at local healthcare facilities. Additional validation of the model is indicated, especially for the neonatal model.

Triage implementation in resource-limited emergency departments: sharing tools and experience from the Pacific region

According to the World Health Organization's (WHO) Emergency Care Systems Framework, triage is an essential function of emergency departments (EDs). This practice innovation article describes four strategies that have been used to support implementation of the WHO-endorsed Interagency Integrated Triage Tool (IITT) in the Pacific region, namely needs assessment, digital learning, public communications and electronic data management.Using a case study from Vila Central Hospital in Vanuatu, a Pacific Small Island Developing State, we reflect on lessons learned from IITT implementation in a resource-limited ED. In particular, we describe the value of a bespoke needs assessment tool for documenting triage and patient flow requirements; the challenges and opportunities presented by digital learning; the benefits of locally designed, public-facing communications materials; and the feasibility and impact of a low-cost electronic data registry system.Our experience of using these tools in Vanuatu and across the Pacific region will be of interest to other resource-limited EDs seeking to improve their triage practice and performance. Although the resources and strategies presented in this article are focussed on the IITT, the principles are equally relevant to other triage systems.

Cost-effectiveness analysis of Smart Triage, a data-driven pediatric sepsis triage platform in Eastern Uganda

BACKGROUND

Sepsis, characterized by organ dysfunction due to presumed or proven infection, has a case-fatality over 20% in severe cases in low-and-middle income countries. Early diagnosis and treatment have proven benefits, prompting our implementation of Smart Triage at Jinja Regional Referral Hospital in Uganda, a program that expedites treatment through a data-driven triage platform. We conducted a cost-effectiveness analysis of Smart Triage to explore its impact on patients and inform multicenter scale up.

METHODS

The parent clinical trial for Smart Triage was pre-post in design, using the proportion of children receiving sepsis treatment within one hour as the primary outcome, a measure linked to mortality benefit in existing literature. We used a decision-analytic model with Monte Carlo simulation to calculate the cost per year-of-life-lost (YLL) averted of Smart Triage from societal, government, and patient perspectives. Healthcare utilization and lost work for seven days post-discharge were translated into costs and productivity losses via secondary linkage data.

RESULTS

In 2021 United States dollars, Smart Triage requires an annuitized program cost of only $0.05 per child, but results in $15.32 saved per YLL averted. At a willingness-to-pay threshold of only $3 per YLL averted, well below published cost-effectiveness threshold estimates for Uganda, Smart Triage approaches 100% probability of cost-effectiveness over the baseline manual triage system. This cost-effectiveness was observed from societal, government, and patient perspectives. The cost-effectiveness observed was driven by a reduction in admission that, while explainable by an improved triage mechanism, may also be partially attributable to changes in healthcare utilization influenced by the coronavirus pandemic. However, Smart Triage remains cost-effective in sensitivity analyses introducing a penalty factor of up to 50% in the reduction in admission.

CONCLUSION

Smart Triage's ability to both save costs and avert YLLs indicates that patients benefit both economically and clinically, while its high probability of cost-effectiveness strongly supports multicenter scale up. Areas for further research include the incorporation of years lived with disability when sepsis disability weights in low-resource settings become available and analyzing budget impact during multicenter scale up.

TRIAL REGISTRATION

NCT04304235 (registered on 11/03/2020, clinicaltrials.gov).

Development of pediatric acute care education (PACE): An adaptive electronic learning (e-learning) environment for healthcare providers in Tanzania

Globally, inadequate healthcare provider (HCP) proficiency with evidence-based guidelines contributes to millions of newborn, infant, and child deaths each year. HCP guideline proficiency would improve patient outcomes. Conventional (in person) HCP in-service education is limited in 4 ways: reach, scalability, adaptability, and the ability to contextualize. Adaptive e-learning environments (AEE), a subdomain of e-learning, incorporate artificial intelligence technology to create a unique cognitive model of each HCP to improve education effectiveness. AEEs that use existing internet access and personal mobile devices may overcome limits of conventional education. This paper provides an overview of the development of our AEE HCP in-service education, Pediatric Acute Care Education (PACE). PACE uses an innovative approach to address HCPs' proficiency in evidence-based guidelines for care of newborns, infants, and children. PACE is novel in 2 ways: 1) its patient-centric approach using clinical audit data or frontline provider input to determine content and 2) its ability to incorporate refresher learning over time to solidify knowledge gains. We describe PACE's integration into the Pediatric Association of Tanzania's (PAT) Clinical Learning Network (CLN), a multifaceted intervention to improve facility-based care along a single referral chain. Using principles of co-design, stakeholder meetings modified PACE's characteristics and optimized integration with CLN. We plan to use three-phase, mixed-methods, implementation process. Phase I will examine the feasibility of PACE and refine its components and protocol. Lessons gained from this initial phase will guide the design of Phase II proof of concept studies which will generate insights into the appropriate empirical framework for (Phase III) implementation at scale to examine effectiveness.

A mixed-methods study on evaluating an updated, francophone version of ETAT+ training in Madagascar

Background

Madagascar needs major efforts to achieve the UN Sustainable Development Goals, despite the considerable reduction of child mortality during past years. In this context, implementation of emergency triage assessment and treatment (ETAT) plays an important role. In recent years, ETAT training activities rarely took place in Madagascar. To strengthen ETAT in Madagascar, a pilot training course was conducted in December 2019 at the University Hospital Mahajanga.

Objectives

This study aims to evaluate if the ETAT+ pilot training content matches clinical needs in Madagascar and whether participants achieved their learning objectives.

Methods

In this cross-sectional mixed-methods study, a 41-item questionnaire was used at the end of the ETAT+ training to evaluate their learning experience from the 12 participants (paediatricians, physicians, nurses and midwives). Six weeks after the training, guided interviews were conducted among five participants to describe how training content could be transferred into clinical practice in five health facilities.

Results

Results suggest that this pilot project designed to contribute to the re-establishment of ETAT in Madagascar meets participants’ needs and is adapted to clinical realities in terms of transmitted knowledge, skills and competencies. However, results also show that considerable multi-disciplinary efforts are needed to advance ETAT+ implementation in Madagascar.

Conclusion

Implementation processes of ETAT training programmes need re-evaluation to assure their validity to contribute to quality of care improvements efficiently. Further operational research is required to evaluate sustainable, innovative implementation strategies adapted to contexts in Madagascar.

Contributions of the study

This study aims to evaluate an updated Malagasy version of the Emergency Triage Assessment and Treatment Plus (ETAT+). The training met the participants’ needs and was adapted to the clinical realities in Madagascar relating to transmitted knowledge, skills and competencies.

Capacity building in low- and middle-income countries: The essentials of sustainable education programs

ABSTRACT

NPs are an essential resource in the organization and creation of capacity-building efforts to improve healthcare across the globe. There are limited data to guide the creation of effective supplementary education projects. Recent evidence highlights the essential components of sustainability, curriculum development, and program evaluation.

Smart triage: Development of a rapid pediatric triage algorithm for use in low-and-middle income countries

INTRODUCTION

Early and accurate recognition of children at risk of progressing to critical illness could contribute to improved patient outcomes and resource allocation. In resource limited settings digital triage tools can support decision making and improve healthcare delivery. We developed a model for rapid identification of critically ill children at triage.

METHODS

This was a prospective cohort study of acutely ill children presenting at Jinja Regional Referral Hospital in Eastern Uganda. Variables collected in the emergency department informed the development of a logistic model based on hospital admission using bootstrap stepwise regression. Low and high-risk thresholds for 90% minimum sensitivity and specificity, respectively generated three risk level categories. Performance was assessed using receiver operating characteristic curve analysis on a held-out test set generated by an 80:20 split with 10-fold cross validation. A risk stratification table informed clinical interpretation.

RESULTS

The model derivation cohort included 1,612 participants, with an admission rate of approximately 23%. The majority of admitted patients were under five years old and presenting with sepsis, malaria, or pneumonia. A 9-predictor triage model was derived: logit (p) = -32.888 + (0.252, square root of age) + (0.016, heart rate) + (0.819, temperature) + (-0.022, mid-upper arm circumference) + (0.048 transformed oxygen saturation) + (1.793, parent concern) + (1.012, difficulty breathing) + (1.814, oedema) + (1.506, pallor). The model afforded good discrimination, calibration, and risk stratification at the selected thresholds of 8% and 40%.

CONCLUSION

In a low income, pediatric population, we developed a nine variable triage model with high sensitivity and specificity to predict who should be admitted. The triage model can be integrated into any digital platform and used with minimal training to guide rapid identification of critically ill children at first contact. External validation and clinical implementation are in progress.

Improving Newborn Resuscitation by Making Every Birth a Learning Event

One third of all neonatal deaths are caused by intrapartum-related events, resulting in neonatal respiratory depression (i.e., failure to breathe at birth). Evidence-based resuscitation with stimulation, airway clearance, and positive pressure ventilation reduces mortality from respiratory depression. Improving adherence to evidence-based resuscitation is vital to preventing neonatal deaths caused by respiratory depression. Standard resuscitation training programs, combined with frequent simulation practice, have not reached their life-saving potential due to ongoing gaps in bedside performance. Complex neonatal resuscitations, such as those involving positive pressure ventilation, are relatively uncommon for any given resuscitation provider, making consistent clinical practice an unrealistic solution for improving performance. This review discusses strategies to allow every birth to act as a learning event within the context of both high- and low-resource settings. We review strategies that involve clinical-decision support during newborn resuscitation, including the visual display of a resuscitation algorithm, peer-to-peer support, expert coaching, and automated guidance. We also review strategies that involve post-event reflection after newborn resuscitation, including delivery room checklists, audits, and debriefing. Strategies that make every birth a learning event have the potential to close performance gaps in newborn resuscitation that remain after training and frequent simulation practice, and they should be prioritized for further development and evaluation.

Cost-effectiveness analysis protocol of the Smart Triage program: A point-of-care digital triage platform for pediatric sepsis in Eastern Uganda

BACKGROUND

Sepsis is a clinical syndrome characterized by organ dysfunction due to presumed or proven infection. Severe cases can have case fatality ratio 25% or higher in low-middle income countries, but early diagnosis and timely treatment have a proven benefit. The Smart Triage program in Jinja Regional Referral Hospital in Uganda will provide expedited sepsis treatment in children through a data-driven electronic patient triage system. To complement the ongoing Smart Triage interventional trial, we propose methods for a concurrent cost-effectiveness analysis of the Smart Triage platform.

METHODS

We will use a decision-analytic model taking a societal perspective, combining government and out-of-pocket costs, as patients bear a sizeable portion of healthcare costs in Uganda due to the lack of universal health coverage. Previously published secondary data will be used to link healthcare utilization with costs and intermediate outcomes with mortality. We will model uncertainty via probabilistic sensitivity analysis and present findings at various willingness-to-pay thresholds using a cost-effectiveness acceptability curve.

DISCUSSION

Our proposed analysis represents a first step in evaluating the cost-effectiveness of an innovative digital triage platform designed to improve clinical outcomes in pediatric sepsis through expediting care in low-resource settings. Our use of a decision analytic model to link secondary costing data, incorporate post-discharge healthcare utilization, and model clinical endpoints is also novel in the pediatric sepsis triage literature for low-middle income countries. Our analysis, together with subsequent analyses modelling budget impact and scale up, will inform future modifications to the Smart Triage platform, as well as motivate scale-up to the district and national levels.

TRIAL REGISTRATION

Trial registration of parent clinical trial: NCT04304235, https://clinicaltrials.gov/ct2/show/NCT04304235. Registered 11 March 2020.

Strengthening emergency care knowledge and skills in Uganda and Tanzania with the WHO-ICRC Basic Emergency Care Course

BACKGROUND

There is a pressing need for emergency care (EC) training in low-resource settings. We assessed the feasibility and acceptability of training frontline healthcare providers in emergency care with the World Health Organization (WHO)-International Committee of the Red Cross (ICRC) Basic Emergency Care (BEC) Course using a training-of-trainers (ToT) model with local providers.

METHODS

Quasiexperimental pretest and post-test study of an educational intervention at four first-level district hospitals in Tanzania and Uganda conducted in March and April of 2017. A 2-day ToT course was held in both Tanzania and Uganda. These were immediately followed by a 5-day BEC Course, taught by the newly trained trainers, at two hospitals in each country. Both prior to and immediately following each training, participants took assessments on EC knowledge and rated their confidence level in using a variety of EC skills to treat patients. Qualitative feedback from participants was collected and summarised.

RESULTS

Fifty-nine participants completed the four BEC Courses. All participants were current healthcare workers at the selected hospitals. An additional 10 participants completed a ToT course. EC knowledge scores were significantly higher for participants immediately following the training compared with their scores just prior to the training when assessed across all study sites (Z=6.23, p<0.001). Across all study sites, mean EC confidence ratings increased by 0.74 points on a 4-point Likert scale (95% CI 0.63 to 0.84, p<0.001). Main qualitative feedback included: positive reception of the sessions, especially hands-on skills; request for additional BEC trainings; request for obstetric topics; and need for more allotted training time.

CONCLUSIONS

Implementation of the WHO-ICRC BEC Course by locally trained providers was feasible, acceptable and well received at four sites in East Africa. Participation in the training course was associated with a significant increase in EC knowledge and confidence at all four study sites. The BEC is a low-cost intervention that can improve EC knowledge and skill confidence across provider cadres.

Qualities of Effective Vital Anaesthesia Simulation Training Facilitators Delivering Simulation-Based Education in Resource-Limited Settings

BACKGROUND

Lack of access to safe and affordable anesthesia and surgical care is a major contributor to avoidable death and disability across the globe. Effective education initiatives are a viable mechanism to address critical skill and process gaps in perioperative teams. Vital Anaesthesia Simulation Training (VAST) aims to overcome barriers limiting widespread application of simulation-based education (SBE) in resource-limited environments, providing immersive, low-cost, multidisciplinary SBE and simulation facilitator training. There is a dearth of knowledge regarding the factors supporting effective simulation facilitation in resource-limited environments. Frameworks evaluating simulation facilitation in high-income countries (HICs) are unlikely to fully assess the range of skills required by simulation facilitators working in resource-limited environments. This study explores the qualities of effective VAST facilitators; knowledge gained will inform the design of a framework for assessing simulation facilitators working in resource-limited contexts and promote more effective simulation faculty development.

METHODS

This qualitative study used in-depth interviews to explore VAST facilitators' perspectives on attributes and practices of effective simulation in resource-limited settings. Twenty VAST facilitators were purposively sampled and consented to be interviewed. They represented 6 low- and middle-income countries (LMICs) and 3 HICs. Interviews were conducted using a semistructured interview guide. Data analysis involved open coding to inductively identify themes using labels taken from the words of study participants and those from the relevant literature.

RESULTS

Emergent themes centered on 4 categories: Persona, Principles, Performance and Progression. Effective VAST facilitators embody a set of traits, style, and personal attributes (Persona) and adhere to certain Principles to optimize the simulation environment, maximize learning, and enable effective VAST Course delivery. Performance describes specific practices that well-trained facilitators demonstrate while delivering VAST courses. Finally, to advance toward competency, facilitators must seek opportunities for skill Progression.Interwoven across categories was the finding that effective VAST facilitators must be cognizant of how context, culture, and language may impact delivery of SBE. The complexity of VAST Course delivery requires that facilitators have a sensitive approach and be flexible, adaptable, and open-minded. To progress toward competency, facilitators must be open to self-reflection, be mentored, and have opportunities for practice.

CONCLUSIONS

The results from this study will help to develop a simulation facilitator evaluation tool that incorporates cultural sensitivity, flexibility, and a participant-focused educational model, with broad relevance across varied resource-limited environments.

Qualitative needs assessment for paediatric emergency care in Kampala, Uganda

Introduction

Acute childhood illnesses, such as malaria, pneumonia, and diarrhoea, represent the leading causes of under-five mortality in Uganda. Given that most early child deaths are treatable with timely interventions, emergency units dedicated to paediatric populations have been established in the country. In light of recent developments, the department of paediatrics at Makerere University requested a needs assessment in the paediatric acute care unit (PACU) at Mulago National Referral Hospital, which could guide the development of a new training curriculum for medical providers.

Methods

We administered a survey for medical providers working in the PACU at Mulago Hospital, which assessed their self-rated comfort levels with paediatric assessment, treatment, and teamwork skills. We also conducted focus groups with a smaller subset of medical providers to understand barriers and facilitators to paediatric emergency and critical care.

Results

Of 35 paediatric assessment, treatment, and teamwork skills, 29 (83%) questions had the median comfort rating of 6 or 7 on a 7-point Likert scale. The remaining 6 (17%) skills had a median comfort rating of 5 or lower. Focus groups identified a number of major barriers to caring for critically ill children, including limited resources and staffing, training gaps, and challenges with interprofessional teamwork. In terms of training development, focus group participants suggested continuous training for all medical providers working in the PACU led by local leaders.

Discussion

This study identified the need and desirability of continuous trainings in the PACU. Key components include objective skills assessment, simulation-based scenarios, and interprofessional teamwork. Training development should be augmented by increases in resources, staffing, and training opportunities in collaboration with the Uganda Ministry of Health.

Strategies to Enhance Knowledge and Practical Skills of Triage amongst Nurses Working in the Emergency Departments of Rural Hospitals in South Africa

Purpose: Lack of knowledge and practical skills on triage remains a global problem, especially within rural hospitals, and very little is known about enhancing the knowledge and skills of emergency nursing staff in rural hospitals of South Africa. The objective was to describe the perceived strategies for enhancing knowledge and practices of triage among nurses working in the emergency departments (EDs) of rural hospitals in South Africa. Research methods: A descriptive qualitative research design was applied to achieve the research objective. A non-probability sampling method was applied to select 17 professional nurses from rural hospitals. An unstructured face-to-face interview method was used to collect data. Data collected were analyzed using Tesch’s method of data analysis. Results: The study findings highlighted the academic needs of nurses working in the ED of rural hospitals. Two themes emerged from this study; (1) The consistent description of the importance of triage training for emergency unit staff, and (2) The description of measures to enhance triage practices amongst emergency unit staff. Findings indicated that triage knowledge and practice remains a challenge, but with formulated strategies like continuous training by workshops, refresher courses, and offering a training module on triage, evaluation of developed guidelines and benchmarks is often enhanced. Conclusions: The study describes the strategies to enhance the conversion of knowledge and practice of triage amongst nurses working in the ED of rural hospitals. The paper argues that the knowledge and practical skills of nurses working in ED are enhanced through the provision of continuous training as workshops, triage module, evaluating the developed guidelines to implement triage, and benchmarking with other hospitals.

Derivation and internal validation of a data-driven prediction model to guide frontline health workers in triaging children under-five in Nairobi, Kenya

Background: Many hospitalized children in developing countries die from infectious diseases. Early recognition of those who are critically ill coupled with timely treatment can prevent many deaths. A data-driven, electronic triage system to assist frontline health workers in categorizing illness severity is lacking. This study aimed to develop a data-driven parsimonious triage algorithm for children under five years of age. Methods: This was a prospective observational study of children under-five years of age presenting to the outpatient department of Mbagathi Hospital in Nairobi, Kenya between January and June 2018. A study nurse examined participants and recorded history and clinical signs and symptoms using a mobile device with an attached low-cost pulse oximeter sensor. The need for hospital admission was determined independently by the facility clinician and used as the primary outcome in a logistic predictive model. We focused on the selection of variables that could be quickly and easily assessed by low skilled health workers. Results: The admission rate (for more than 24 hours) was 12% (N=138/1,132). We identified an eight-predictor logistic regression model including continuous variables of weight, mid-upper arm circumference, temperature, pulse rate, and transformed oxygen saturation, combined with dichotomous signs of difficulty breathing, lethargy, and inability to drink or breastfeed. This model predicts overnight hospital admission with an area under the receiver operating characteristic curve of 0.88 (95% CI 0.82 to 0.94). Low- and high-risk thresholds of 5% and 25%, respectively were selected to categorize participants into three triage groups for implementation.  Conclusion: A logistic regression model comprised of eight easily understood variables may be useful for triage of children under the age of five based on the probability of need for admission. This model could be used by frontline workers with limited skills in assessing children. External validation is needed before adoption in clinical practice.

Situational Analysis of Management of Childhood Diarrhea and Pneumonia in 13 District Hospitals in India

Objective

To generate evidence on the current situation of hospital care (emergency, inpatient and outpatient), for managing children presenting with diarrhea and pneumonia at 13 district hospitals in India.

Design

Facility-based assessment of district hospitals.

Settings

13 district hospitals in four states of Bihar, Madhya Pradesh, Odisha and Rajasthan.

Participants

Staff nurses and doctors.

Intervention

None.

Methods

An assessment was done across 13 district hospitals in four states by a group or trained assessors using an adapted quality assurance tool developed by Government of India where each aspect of care was scored (maximum score 5). Emergency services and triage, case management practices, laboratory support, and record maintenance for diarrhea and pneumonia were assessed.

Results

Separate diarrhea treatment unit was not earmarked in any of the DHs surveyed. Overall score obtained for adequate management of diarrhea and pneumonia was 2 and 2.2 which were poor. Pediatric beds were 6.8% of the total bed strength against the recommended 8–10%. There was a 65 percent shortfall in the numbers of medical officers in position and 48 percent shortfall of nurses. There were issues with availability and utilization of drugs and equipment at appropriate places with cumulative score of 2.8. Triage for sick children was absent in all the facilities.

Conclusion

The standards of pediatric care for management of diarrhea and pneumonia were far from satisfactory. This calls for improvement of pediatric care units and implementation of operational guidelines for improving management of diarrhea and pneumonia.

Evaluating the Instructional Design and Effect on Knowledge, Teamwork, and Skills of Technology-Enhanced Simulation-Based Training in Obstetrics in Uganda: Stepped-Wedge Cluster Randomized Trial

BACKGROUND

Simulation-based training is a common strategy for improving the quality of facility-based maternity services and is often evaluated using Kirkpatrick's theoretical model. The results on the Kirkpatrick levels are closely related to the quality of the instructional design of a training program. The instructional design is generally defined as the "set of prescriptions for teaching methods to improve the quality of instruction with a goal of optimizing learning outcomes."

OBJECTIVE

The aim of this study is to evaluate the instructional design of a technology-enhanced simulation-based training in obstetrics, the reaction of participants, and the effect on knowledge, teamwork, and skills in a low-income country.

METHODS

A stepped-wedge cluster randomized trial was performed in a university hospital in Kampala, Uganda, with an annual delivery volume of over 31,000. In November 2014, a medical simulation center was installed with a full-body birthing simulator (Noelle S550, Gaumard Scientific), an interactive neonate (Simon S102 Newborn CPR Simulator, Gaumard Scientific), and an audio and video recording system. Twelve local obstetricians were trained and certified as medical simulation trainers. From 2014 to 2016, training was provided to 57 residents in groups of 6 to 9 students. Descriptive statistics were calculated for ten instructional design features of the training course measured by the 42-item ID-SIM (Instructional Design of a Simulation Improved by Monitoring). The Wilcoxon signed rank test was conducted to investigate the differences in scores on knowledge, the Clinical Teamwork Scale, and medical technical skills.

RESULTS

The mean scores on the ten instructional design features ranged from 54.9 (95% CI 48.5-61.3) to 84.3 (95% CI 80.9-87.6) out of 100. The highest mean score was given on the feature feedback and the lowest scores on repetitive practice and controlled environment. The overall score for the training day was 92.8 out of 100 (95% CI 89.5-96.1). Knowledge improved significantly, with a test score of 63.4% (95% CI 60.7-66.1) before and 78.9% (95% CI 76.8-81.1) after the training (P<.001). The overall score on the 10-point Clinical Teamwork Scale was 6.0 (95% CI 4.4-7.6) before and 5.9 (95% CI 4.5-7.2) after the training (P=.78). Medical technical skills were scored at 55.5% (95% CI 47.2-63.8) before and 65.6% (95% CI 56.5-74.7) after training (P=.08).

CONCLUSIONS

Most instructional design features of a technology-enhanced simulation-based training in obstetrics in a low-income country were scored high, although intervals were large. The overall score for the training day was high, and knowledge did improve after the training program, but no changes in teamwork and (most) medical technical skills were found. The lowest-scored instructional design features may be improved to achieve further learning aims.

TRIAL REGISTRATION

ISRCTN Registry ISRCTN98617255; http://www.isrctn.com/ISRCTN98617255.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1186/s12884-020-03050-3.

Paediatric Emergency Triage, Assessment and Treatment (ETAT) - preparedness for implementation at primary care facilities in Malawi

Background

The majority of deaths amongst children under 5 years are still due to preventable infectious causes. Emergency care has been identified as a key health system weakness, and referrals are often challenging.

Objective

We aimed to establish how prepared frontline facilities in Malawi are to implement WHO Emergency Triage Assessment and Treatment (ETAT) guidelines, to support policy and planning decisions.

Methods

We conducted a concurrent mixed-methods study, including facility audit; healthcare provider survey; focus group discussions (FGD) and semi-structured interviews with facility staff. The study was conducted in two districts in Malawi, Zomba and Mchinji, between January and May 2019. We included all frontline facilities, including dispensaries, primary health centres, rural and community hospitals. Quantitative data were described using proportions, means and linear regression. Qualitative data was analysed using a framework approach. Data were analysed separately and then triangulated into common themes.

Results

Forty-seven facilities and 531 healthcare providers were included in the audit and survey; 6 FGDs and 5 interviews were completed. Four common themes emerged: (1) current emergency case management; (2) referral practices; (3) trained staff capacity; (4) opportunities and barriers for ETAT. Triage was conducted in most facilities with various methods described, and 53% reporting all staff are responsible. Referrals were common, but challenging due to issues in transportation. Twelve percent of survey respondents had ETAT training, with clinical officers (41%) reporting this more frequently than other cadres. Training was associated with increased knowledge, independent of cadre. The main barriers to ETAT implementation were the lack of resources, but opportunities to improve quality of care were reported.

Conclusions

Malawian frontline facilities are already providing a level of emergency paediatric care, but issues in training, drug supplies and equipment were present. To effectively scale-up ETAT, policies need to include supply chain management, maintenance and strengthening referral communication.

Derivation and internal validation of a data-driven prediction model to guide frontline health workers in triaging children under-five in Nairobi, Kenya

Background: Many hospitalized children in developing countries die from infectious diseases. Early recognition of those who are critically ill coupled with timely treatment can prevent many deaths. A data-driven, electronic triage system to assist frontline health workers in categorizing illness severity is lacking. This study aimed to develop a data-driven parsimonious triage algorithm for children under five years of age. Methods: This was a prospective observational study of children under-five years of age presenting to the outpatient department of Mbagathi Hospital in Nairobi, Kenya between January and June 2018. A study nurse examined participants and recorded history and clinical signs and symptoms using a mobile device with an attached low-cost pulse oximeter sensor. The need for hospital admission was determined independently by the facility clinician and used as the primary outcome in a logistic predictive model. We focused on the selection of variables that could be quickly and easily assessed by low skilled health workers. Results: The admission rate (for more than 24 hours) was 12% (N=138/1,132). We identified an eight-predictor logistic regression model including continuous variables of weight, mid-upper arm circumference, temperature, pulse rate, and transformed oxygen saturation, combined with dichotomous signs of difficulty breathing, lethargy, and inability to drink or breastfeed. This model predicts overnight hospital admission with an area under the receiver operating characteristic curve of 0.88 (95% CI 0.82 to 0.94). Low- and high-risk thresholds of 5% and 25%, respectively were selected to categorize participants into three triage groups for implementation.  Conclusion: A logistic regression model comprised of eight easily understood variables may be useful for triage of children under the age of five based on the probability of need for admission. This model could be used by frontline workers with limited skills in assessing children. External validation is needed before adoption in clinical practice.

Developing and implementing a novel mentorship model (4+ 1) for maternal, newborn and child health in Rwanda

BACKGROUND

There are a number of factors that may contribute to high mortality and morbidity of women and newborns in low-income countries. These include a shortage of competent health care providers (HCP) and a lack of sufficient continuous professional development (CPD) opportunities. Strengthening the skills and building the capacity of HCP involved in the provision of maternal, newborn and child health (MNCH) is essential to ensure quality care for mothers, newborns and children. To address this challenge in Rwanda, mentorship of HCPs was identified as an approach that could help build capacity, improve the provision of care and accelerate the reduction in maternal and neonatal mortality and morbidity. In this paper, we describe the development and implementation of a novel mentorship model named Four plus One (4^+ 1) for MNCH in Rwanda.

METHODS

The mentorship model built on the basis of inter-professional collaboration (IPC) was developed in early 2017 through consultations with different key actors. The design phase included refresher courses in specific skills and training course on mentoring. Field visits were conducted in 10 hospitals from June 2017 to February 2020. Hospital management teams (MT) were involved in the development and implementation of this mentorship model to ensure ownership of the program.

RESULTS

Upon completion of planned visits to each hospital, a total of 218 HCPs were involved in the process. Reports prepared by mentors upon each mentorship visit and compiled by Training Support and Access Model (TSAM) for MNCH'CPD team, highlighted the mothers and newborns who were saved by both mentors and mentees. Also, different logbooks of mentees showed how the capacity of staff was strengthened, thereby suggesting effectiveness of the model. Through different mentorship coordination meetings, the model was much appreciated by the MTs of hospitals, especially the IPC component of the model and confirmed the program 'effectiveness.

CONCLUSION

The initiation of a mentorship model built on IPC together with the involvement of the leadership of the hospital may be the cause effect of reduction of specific mortality and improve MNCH in low resource settings even when there are a limited number of specialists in the health facilities.

Evaluation of a digital triage platform in Uganda: A quality improvement initiative to reduce the time to antibiotic administration

Background

Sepsis is the leading cause of death in children under five in low- and middle-income countries. The rapid identification of the sickest children and timely antibiotic administration may improve outcomes. We developed and implemented a digital triage platform to rapidly identify critically ill children to facilitate timely intravenous antibiotic administration.

Objective

This quality improvement initiative sought to reduce the time to antibiotic administration at a dedicated children’s hospital outpatient department in Mbarara, Uganda.

Intervention and study design

The digital platform consisted of a mobile application that collects clinical signs, symptoms, and vital signs to prioritize children through a combination of emergency triggers and predictive risk algorithms. A computer-based dashboard enabled the prioritization of children by displaying an overview of all children and their triage categories. We evaluated the impact of the digital triage platform over an 11-week pre-implementation phase and an 11-week post-implementation phase. The time from the end of triage to antibiotic administration was compared to evaluate the quality improvement initiative.

Results

There was a difference of -11 minutes (95% CI, -16.0 to -6.0; p < 0.001; Mann-Whitney U test) in time to antibiotics, from 51 minutes (IQR, 27.0–94.0) pre-implementation to 44 minutes (IQR, 19.0–74.0) post-implementation. Children prioritized as emergency received the greatest time benefit (-34 minutes; 95% CI, -9.0 to -58.0; p < 0.001; Mann-Whitney U test). The proportion of children who waited more than an hour until antibiotics decreased by 21.4% (p = 0.007).

Conclusion

A data-driven patient prioritization and continuous feedback for healthcare workers enabled by a digital triage platform led to expedited antibiotic therapy for critically ill children with sepsis. This platform may have a more significant impact in facilities without existing triage processes and prioritization of treatments, as is commonly encountered in low resource settings.

Development and Impact of Helping Babies Breathe Educational Methodology

The educational pedagogy surrounding Helping Babies Breathe (HBB) has been transformative in going beyond a curriculum focused only on basic neonatal resuscitation; indeed, it created the framework for an educational program that has served as a model for replication for other impactful programs, such as the Helping Mothers Survive and other Helping Babies Survive curricula. The tenets of HBB include incorporation of innovative learning strategies such as small group discussion, skills-based learning, simulation and debriefing, and peer-to-peer learning, all of which begin the hard work of changing behaviors that may eventually affect health care systems. Allowing for adaptation for local resources and culture, HBB has catalyzed innovation in the development of simplified, pictorial educational materials, in addition to low-tech yet realistic simulators and adjunct devices that have played an important role in empowering health care professionals in their care of newborns, thereby improving outcomes. In this review, we describe the development of HBB as an educational program, the importance of field testing and input from multiple stakeholders including frontline workers, the strategies behind the components of educational materials, and the impact of its pedagogy on learning.

Smart triage: triage and management of sepsis in children using the point-of-care Pediatric Rapid Sepsis Trigger (PRST) tool

BACKGROUND

Sepsis is the leading cause of death and disability in children. Every hour of delay in treatment is associated with an escalating risk of morbidity and mortality. The burden of sepsis is greatest in low- and middle-income countries where timely treatment may not occur due to delays in diagnosis and prioritization of critically ill children. To circumvent these challenges, we propose the development and clinical evaluation of a digital triage tool that will identify high risk children and reduce time to treatment. We will also implement and clinically validate a Radio-Frequency Identification system to automate tracking of patients. The mobile platform (mobile device and dashboard) and automated patient tracking system will create a low cost, highly scalable solution for critically ill children, including those with sepsis.

METHODS

This is pre-post intervention study consisting of three phases. Phase I will be a baseline period where data is collected on key predictors and outcomes before implementation of the digital triage tool. In Phase I, there will be no changes to healthcare delivery processes in place at the study hospitals. Phase II will involve model derivation, technology development, and usability testing. Phase III will be the intervention period where data is collected on key predictors and outcomes after implementation of the digital triage tool. The primary outcome, time to treatment initiation, will be compared to assess effectiveness of the digital health intervention.

DISCUSSION

Smart technology has the potential to overcome the barrier of limited clinical expertise in the identification of the child at risk. This mobile health platform, with sensors and data-driven applications, will provide real-time individualized risk prediction to rapidly triage patients and facilitate timely access to life-saving treatments for children in low- and middle-income countries, where specialists are not regularly available and deaths from sepsis are common.

TRIAL REGISTRATION

Clinical Trials.gov Identifier: NCT04304235, Registered 11 March 2020.

Sustainability of high flow in a Peruvian PICU: A qualitative analysis

AIM

To describe nurse and physician perspectives on enabling factors that promote sustainability of high flow use in resource-limited settings.

BACKGROUND

Over 650 000 children died from respiratory infections in 2016 globally. Many deaths could be prevented with access to advanced paediatric respiratory support, but sustainability of technology in resource-limited settings remains challenging.

INTRODUCTION

Local providers have expertise related to site-specific barriers to sustainability. Engaging local providers during implementation can identify strategies to promote ongoing technology use beyond initial deployment.

METHODS

This qualitative descriptive study was conducted five focus groups with nineteen nurses and seven individual interviews with physicians in a Peruvian paediatric intensive care unit. Data were analysed using a realist thematic approach.

RESULTS

Providers described five important factors for high flow sustainability: (i) Applying high flow to a broader patient population, including use outside the paediatric intensive care unit to increase opportunities for practice; (ii) Establishing a multidisciplinary approach to high flow management at all hours; (iii) Willingness of nurses and physicians to adopt standardization; (iv) Ongoing high flow leadership; (v) Transparency of high flow impact, including frequent reporting of clinical outcomes of high flow patients.

DISCUSSION

Local providers described strategies to overcome barriers to sustainability of high flow in their clinical setting, many of which are generalizable to implementation projects in other resource-limited settings.

CONCLUSION AND POLICY IMPLICATIONS

These findings provide nursing, administrative leaders and policymakers with strategies to promote sustainability of new technology in resource-limited settings, including development of guidelines for appropriate clinical use, change management support, leadership development and clinical outcome reporting procedures. Administrative support and oversight are paramount to foster successful implementation in these settings.

Training and evaluating simulation debriefers in low-resource settings: lessons learned from Bihar, India

BACKGROUND

To develop effective and sustainable simulation training programs in low-resource settings, it is critical that facilitators are thoroughly trained in debriefing, a critical component of simulation learning. However, large knowledge gaps exist regarding the best way to train and evaluate debrief facilitators in low-resource settings.

METHODS

Using a mixed methods approach, this study explored the feasibility of evaluating the debriefing skills of nurse mentors in Bihar, India. Videos of obstetric and neonatal post-simulation debriefs were assessed using two known tools: the Center for Advanced Pediatric and Perinatal Education (CAPE) tool and Debriefing Assessment for Simulation in Healthcare (DASH). Video data was used to evaluate interrater reliability and changes in debriefing performance over time. Additionally, twenty semi-structured interviews with nurse mentors explored perceived barriers and enablers of debriefing in Bihar.

RESULTS

A total of 73 debriefing videos, averaging 18 min each, were analyzed by two raters. The CAPE tool demonstrated higher interrater reliability than the DASH; 13 of 16 CAPE indicators and two of six DASH indicators were judged reliable (ICC > 0.6 or kappa > 0.40). All indicators remained stable or improved over time. The number of 'instructors questions,' the amount of 'trainee responses,' and the ability to 'organize the debrief' improved significantly over time (p < 0.01, p < 0.01, p = 0.04). Barriers included fear of making mistakes, time constraints, and technical challenges. Enablers included creating a safe learning environment, using contextually appropriate debriefing strategies, and team building. Overall, nurse mentors believed that debriefing was a vital aspect of simulation-based training.

CONCLUSION

Simulation debriefing and evaluation was feasible among nurse mentors in Bihar. Results demonstrated that the CAPE demonstrated higher interrater reliability than the DASH and that nurse mentors were able to maintain or improve their debriefing skills overtime. Further, debriefing was considered to be critical to the success of the simulation training. However, fear of making mistakes and logistical challenges must be addressed to maximize learning. Teamwork, adaptability, and building a safe learning environment enhanced the quality enhanced the quality of simulation-based training, which could ultimately help to improve maternal and neonatal health outcomes in Bihar.

Derivation and internal validation of a data-driven prediction model to guide frontline health workers in triaging children under-five in Nairobi, Kenya

Background: Many hospitalized children in developing countries die from infectious diseases. Early recognition of those who are critically ill coupled with timely treatment can prevent many deaths. A data-driven, electronic triage system to assist frontline health workers in categorizing illness severity is lacking. This study aimed to develop a data-driven parsimonious triage algorithm for children under five years of age. Methods: This was a prospective observational study of children under-five years of age presenting to the outpatient department of Mbagathi Hospital in Nairobi, Kenya between January and June 2018. A study nurse examined participants and recorded history and clinical signs and symptoms using a mobile device with an attached low-cost pulse oximeter sensor. The need for hospital admission was determined independently by the facility clinician and used as the primary outcome in a logistic predictive model. We focused on the selection of variables that could be quickly and easily assessed by low skilled health workers. Results: The admission rate (for more than 24 hours) was 12% (N=138/1,132). We identified an eight-predictor logistic regression model including continuous variables of weight, mid-upper arm circumference, temperature, pulse rate, and transformed oxygen saturation, combined with dichotomous signs of difficulty breathing, lethargy, and inability to drink or breastfeed. This model predicts overnight hospital admission with an area under the receiver operating characteristic curve of 0.88 (95% CI 0.82 to 0.94). Low- and high-risk thresholds of 5% and 25%, respectively were selected to categorize participants into three triage groups for implementation.  Conclusion: A logistic regression model comprised of eight easily understood variables may be useful for triage of children under the age of five based on the probability of need for admission. This model could be used by frontline workers with limited skills in assessing children. External validation is needed before adoption in clinical practice.

Effect of a community health worker mHealth monitoring system on uptake of maternal and newborn health services in Rwanda

Background

In an effort to improve access to proven maternal and newborn health interventions, Rwanda implemented a mobile phone (mHealth) monitoring system called RapidSMS. RapidSMS was scaled up across Rwanda in 2013. The objective of this study was to evaluate the impact of RapidSMS on the utilization of maternal and newborn health services in Rwanda.

Methods

Using data from the 2014/15 Rwanda demographic and health survey, we identified a cohort of women aged 15–49 years who had a live birth that occurred between 2010 and 2014. Using interrupted time series design, we estimated the impact of RapidSMS on uptake of maternal and newborn health services including antenatal care (ANC), health facility delivery and vaccination coverage.

Results

Overall, the coverage rate at baseline for ANC (at least one visit), health facility delivery and vaccination was very high (> 90%). The baseline rate was 50.30% for first ANC visit during the first trimester and 40.57% for at least four ANC visits. We found no evidence that implementing RapidSMS was associated with an immediate increase in ANC (level change: -1.00% (95% CI: -2.30 to 0.29) for ANC visit at least once, -1.69% (95% CI: -9.94 to 6.55) for ANC (at least 4 visits), -3.80% (95% CI: -13.66 to 6.05) for first ANC visit during the first trimester), health facility delivery (level change: -1.79, 95% CI: -6.16 to 2.58), and vaccination coverage (level change: 0.58% (95%CI: -0.38 to 1.55) for BCG, -0.75% (95% CI: -6.18 to 4.67) for polio 0). Moreover, there was no significant trend change across the outcomes studied.

Conclusion

Based on survey data, the implementation of RapidSMS did not appear to increase uptake of the maternal and newborn health services we studied in Rwanda. In most instances, this was because the existing level of the indicators we studied was very high (ceiling effect), leaving little room for potential improvement. RapidSMS may work in contexts where improvement remains to be made, but not for indicators that are already very high. As such, further research is required to understand why RapidSMS had no impact on indicators where there was enough room for improvement.

Continuing Professional Development in Maternal Health Care: Barriers to Applying New Knowledge and Skills in the Hospitals of Rwanda

Objectives Training healthcare professionals in emergency maternal healthcare is a critical component of improving overall maternal health in developing countries like Rwanda. This paper explored the challenges that healthcare professionals who participated in a Continuing Professional Development (CPD) program on Advanced Life Support in Obstetrics® (ALSO) face in putting the learned knowledge and skills into practice in hospitals of Rwanda. Methods This study used a mixed methods approach to understand the challenges/barriers to applying new knowledge and skills in the hospitals of Rwanda. We conducted thirteen purposive in-depth interviews with ALSO® trainees (nurses, midwives and physicians) complemented with a cross-sectional survey on staff turnover in eight of the nine hospitals in the Eastern province of Rwanda. Results Our study found that trainees do not get enough opportunity to apply the new knowledge and skills in their hospitals and expand to health centers. In part because they are frequently rotating to different departments of the hospital and are not getting the opportunity to train their colleagues to share the learned knowledge and skills. The lack of refresher trainings/mentorship and the high personnel turnover were also reported as a barrier to applying new knowledge and skills. Reasons for staff turnover included pursuing further studies, a better opportunity (job/remuneration), low morale, and family related motives including joining a spouse or better schools for children. Conclusions for Practice Expanding and formalizing CPD training to all the healthcare professionals involved in providing maternal care services would improve the provision of emergency maternal healthcare in Rwanda.

A National Survey of Resources to Address Sepsis in Children in Tertiary Care Centers in Nigeria

Background: Infections leading to sepsis are major contributors to mortality and morbidity in children world-wide. Determining the capacity of pediatric hospitals in Nigeria to manage sepsis establishes an important baseline for quality-improvement interventions and resource allocations. Objectives: To assess the availability and functionality of resources and manpower for early detection and prompt management of sepsis in children at tertiary pediatric centers in Nigeria. Methods: This was an online survey of tertiary pediatric hospitals in Nigeria using a modified survey tool designed by the World Federation of Pediatric Intensive and Critical Care Societies (WFPICCS). The survey addressed all aspects of pediatric sepsis identification, management, barriers and readiness. Results: While majority of the hospitals 97% (28/29) reported having adequate triage systems, only 60% (16/27) follow some form of guideline for sepsis management. There was no consensus national guideline for management of pediatric sepsis. Over 50% of the respondents identified deficit in parental education, poor access to healthcare services, failure to diagnose sepsis at referring institutions, lack of medical equipment and lack of a definitive protocol for managing pediatric sepsis, as significant barriers. Conclusions: Certain sepsis-related interventions were reportedly widespread, however, there is no standardized sepsis protocol, and majority of the hospitals do not have pediatric intensive care units (PICU). These findings could guide quality improvement measures at institutional level, and healthcare policy/spending at the national level.

The Call and the Challenge of Pediatric Resuscitation and Simulation Research in Low-Resource Settings

STATEMENT

The greatest burden of younger than 5 years mortality is in low- and middle-income nations where education resources are often few. The World Health Organization recommends scale-up of simulation in these settings, but it has been poorly studied. Although there has been an increase of contextualized resuscitation simulation programs designed for these settings, sustaining clinical outcomes and provider skill retention have remained research gaps. Our team designed a study to evaluate skill retention after an initial Helping Babies Breathe training at a rural Kenya referral hospital between randomized learner groups receiving supervised mock codes with debriefing versus just-in-time training with a peer. Although we saw sustained skills retention and some clinical improvements, we were unable to answer our research question because of numerous challenges, mainly that hospital leadership preferred the implementation of 1 arm of the study over another because of lack of protected education time and resources, eliminating differences between randomized study groups. Further challenges included lack of familiarity with simulation and debriefing and lack of protected educational resources and time, cultural differences in giving feedback, undeveloped systems for documentation, and high acuity and clinical volume. Our experience teaches many important lessons in how best to implement and study simulation in low-resource settings. Best practices include long-term partnerships, flexibility, community and staff engagement, mixed methodologies including community-based participatory methods, and careful attention to educational and research capacity building.

Blood pressure measurement techniques: Assessing performance in outpatient settings of a tertiary-level hospital in Rwanda

Cardiovascular diseases (CVD) are the leading cause of mortality globally. Hypertension is a known modifiable risk factor for CVD. Diagnosis and management of hypertension hinges upon accurate blood pressure (BP) measurement. In this study, we assessed performance to recommended guidelines for BP measurement in Rwanda. In 2017, a cross-sectional study investigating performance on 11 techniques recommended for BP measurement was undertaken across outpatient settings of 3 departments at the University Teaching Hospital of Kigali, Rwanda. Performance was checked by an inside observer. The study enrolled 164 patients. The overall mean performance on the 11 BP measurement techniques was 5.69 (±1.02) out of the 11 possible points. There was no significant difference in performance across departments (P = .28). The findings suggest that performance on currently recommended guidelines for BP measurement is not optimal. Going forward, it is important to implement interventions that will enhance performance given that diagnosis and management of hypertension depend upon accurate BP measurement.