A comparative analysis of intravenous infusion methods for low-resource environments.

Introduction: Intravenous (IV) therapy is a crucial aspect of care for the critically ill patient. Barriers to IV infusion pumps in low-resource settings include high costs, lack of access to electricity, and insufficient technical support. Inaccuracy of traditional drop-counting practices places patients at risk. By conducting a comparative assessment of IV infusion methods, we analyzed the efficacy of different devices and identified one that most effectively bridges the gap between accuracy, cost, and electricity reliance in low-resource environments. Methods: In this prospective mixed methods study, nurses, residents, and medical students used drop counting, a manual flow regulator, an infusion pump, a DripAssist, and a DripAssist with manual flow regulator to collect normal saline at goal rates of 240, 120, and 60 mL/h. Participants' station setup time was recorded, and the amount of fluid collected in 10 min was recorded (in milliliters). Participants then filled out a post-trial survey to rate each method (on a scale of 1 to 5) in terms of understandability, time consumption, and operability. Cost-effectiveness for use in low-resource settings was also evaluated. Results: The manual flow regulator had the fastest setup time, was the most cost effective, and was rated as the least time consuming to use and the easiest to understand and operate. In contrast, the combination of the DripAssist and manual flow regulator was the most time consuming to use and the hardest to understand and operate. Conclusion: The manual flow regulator alone was the least time consuming and easiest to operate. The DripAssist/Manual flow regulator combination increases accuracy, but this combination was the most difficult to operate. In addition, the manual flow regulator was the most cost-effective. Healthcare providers can adapt these devices to their practice environments and improve the safety of rate-sensitive IV medications without significant strain on electricity, time, or personnel resources.

Ventilator Training through International Telesimulation in Sierra Leone.

Background: The coronavirus disease (COVID-19) pandemic resulted in an increased need for medical professionals with expertise in managing patients with acute hypoxemic respiratory failure, overwhelming the existing critical care workforce in many low-resource countries. Objective: To address this need in Sierra Leone, we developed, piloted, and evaluated a synchronous simulation-based tele-education workshop for healthcare providers on the fundamental principles of intensive care unit (ICU) management of the COVID-19 patient in a low-resource setting. Methods: Thirteen 2-day virtual workshops were implemented between April and July 2020 with frontline Sierra Leone physicians and nurses for potential ICU patients in hospitals throughout Sierra Leone. Although all training sessions took place at the 34 Military Hospital (a national COVID-19 center) in Freetown, participants were drawn from hospitals in each of the provinces of Sierra Leone. The workshops included synchronous tele-education-directed medical simulation didactic sessions about COVID-19, hypoxemia management, and hands-on simulation training about mechanical ventilation. Measures included pre and postworkshop knowledge tests, simulation checklists, and a posttest survey. Test results were analyzed with a paired sample t test; Likert-scale survey responses were reported using descriptive statistics; and open-ended responses were analyzed using thematic analysis. Results: Seventy-five participants enrolled in the program. On average, participants showed 20.8% improvement (a score difference of 4.00 out of a maximum total score of 20) in scores between pre and postworkshop knowledge tests (P = 0.004). Participants reported satisfaction with training (96%; n = 73), achieved 100% of simulation checklist objectives, and increased confidence with ventilator skills (96%; n = 73). Themes from the participants' feedback included increased readiness to train colleagues on critical care ventilators at their hospitals, the need for longer and more frequent training, and a need to have access to critical care ventilators at their hospitals. Conclusion: This synchronous tele-education-directed medical simulation workshop implemented through partnerships between U.S. physicians and Sierra Leone healthcare providers was a feasible, acceptable, and effective means of providing training about COVID-19, hypoxemia management, and mechanical ventilation. Future ICU ventilator training opportunities may consider increasing the length of training beyond 2 days to allow more time for the hands-on simulation scenarios using the ICU ventilator and assessing knowledge application in long-term follow-up.

Evaluating Rapid-cycle Deliberate Practice Versus Mastery Learning in Training Nurse Anesthetists on the Universal Anaesthesia Machine Ventilator in Sierra Leone.

BACKGROUND: Underserved sub-Saharan countries have 0.1 to 1.4 anesthesia providers per 100 000 citizens, below the Lancet Commission's target of 20 per 100 000 needed for safe surgery. Most of these anesthesia providers are nurse anesthetists, with anesthesiologists numbering as few as zero in some nations and 2 per 7 million in others, such as Sierra Leone. In this study, we compared 2 simulation-based techniques for training nurse anesthetists on the Universal Anaesthesia Machine Ventilator-rapid-cycle deliberate practice and mastery learning. METHODS: A 2-week Universal Anaesthesia Machine Ventilator course was administered to 17 participants in Sierra Leone. Seven were randomized to the rapid-cycle deliberate practice group and 10 to the mastery learning group. Participants underwent baseline and posttraining evaluations in 3 scenarios: general anesthesia, intraoperative power failure, and postoperative pulmonary edema. Performance was analyzed based on checklist performance scores and the number of times participants were stopped for a mistake. Statistical significance to 0.05 was determined with the Mann-Whitney U Test. RESULTS: Checklist performance scores did not differ significantly between the 2 groups. When the groups were combined, simulation-based training resulted in a statistically significant improvement in performance. The highest-frequency problem areas were preoxygenation, switching from spontaneous to mechanical ventilation, and executing appropriate treatment interventions for a postoperative emergency. CONCLUSION: Both rapid-cycle deliberate practice and mastery learning are effective methods for simulation-based training to improve nurse anesthetist performance with the Universal Anaesthesia Machine Ventilator in 3 separate scenarios. The data did not indicate any difference between these methods; however, a larger sample size may support or refute our findings.

Human Factors Evaluation of the Universal Anaesthesia Machine: Assessing Equipment with High-Fidelity Simulation Prior to Deployment in a Resource-Constrained Environment.

BACKGROUND: Anesthesia providers in low- and middle-income countries face many challenges, including poor availability of functioning equipment designed to meet their environmental, organizational, and resource constraints. These are serious global health disparities which threaten access to care and patient safety for those who receive surgical care. In this study, we conducted a simulation-based human factors analysis of the Universal Anaesthesia Machine (UAM®), a device designed to support anesthesia providers in austere medical settings. Our team anticipated the introduction of the UAM® to the two major referral hospitals in Freetown, Sierra Leone. A prior observational study had identified these two hospitals as having environmental conditions consistent with an austere environment: an unstable electrical grid, as well as limited access to compressed oxygen, biomedical support, and consumables. Although the Baltimore simulation environment cannot reproduce all of the challenges present in a resource-constrained environment such as Sierra Leone, the major impediments to standard anesthesia machine functionality and human factors-associated use can be reproduced with the use of high-fidelity simulation. Using anesthesia care providers who have limited UAM® familiarity, this study allowed for the examination of machine-user issues in a controlled environment in preparation for further field studies concerning equipment introduction, training and device deployment in Sierra Leone. The goals of this study were: 1. to assess the usability of the UAM® (machine-user interface, simulated patient use, symbology, etc.) across different provider user groups during simulation of use in scenarios depicting routine use in healthy patients, use in clinically challenging patients and use in environmentally-challenging scenarios in a controlled setting devoid of patient risk, and 2. To gather feedback on available UAM manuals and cognitive aides and UAM usability issues in order to guide development of curricula for training providers on use of the UAM® in the intended austere clinical environments. METHODS: Residents, fellows, attending physician anesthesiologists, student nurse anesthetists, and nurse anesthetists participated in a variety of simulations involving the Universal Anaesthesia Machine® at the Johns Hopkins Medicine Simulation Center between September 2012 and July 2013. Data collected included participant demographics, performance during simulation scenarios captured with critical action checklists, workload ratings captured with the National Aeronautics and Space Administration Task Load Index (NASA TLX), and participant reactions to UAM® use captured through a post-session survey and semi-structured usability debriefing. The scenarios were: 1. normal use (machine check, induction, and maintenance of an uneventful case), 2. use in a challenging clinical condition (acute onset of bronchospasm) and 3.use in an adverse environmental event (power failure). Critical action checklists and workload ratings were analyzed by Analysis of Covariance (ANCOVA) to control for participant demographics. Usability debriefings were analyzed qualitatively. RESULTS: Thirty-five anesthesia providers participated in the study. Overall participant ratings, observations of performance in simulation scenarios, and usability debriefings indicated a high level of usability for the UAM®. Mean participant ratings were high for ease of use (5.4 ± 0.96) and clarity of instruction (6.2 ± 0.87) on a 7-point scale in which higher ratings indicate more positive perceptions. After adjusting for clinical experience, workload ratings were significantly higher in the bronchospasm scenario than in the normal/routine use (P = 0.046; 95% CI, 0.33-34.7) or power failure scenarios (P = 0.012; 95% CI, 5.24-37.9). Thirty-two specific usability issues were identified and grouped into five themes: device design and labeling, machine use during simulation scenarios, user-anticipated errors or hazards, curriculum issues, and overall impressions of the UAM®. CONCLUSIONS: The UAM® design addresses many of the key challenges facing anesthesia providers in resource-constrained settings. The simulation-based human factors evaluation described here successfully identified opportunities for continued refinement of the initial device design as well as issues to be addressed in future curricula and cognitive aides.

Cardiopulmonary Resuscitation Capacity in Referral Hospitals in Nigeria: Understanding the Global Health Disparity in Resuscitation Medicine.

INTRODUCTION: Little is known about the state of resuscitation services in low- and middle-income countries (LMICs), including Nigeria, Africa's most populous country. We sought to assess the cardiopulmonary resuscitation (CPR) care in referral hospitals across Nigeria to better inform capacity-building initiatives. METHODS: We designed a survey to evaluate infrastructure, equipment, personnel, training, and clinical management, as no standardized instrument for assessing resuscitation in LMICs was available. We included referral teaching hospitals with a functioning intensive care unit (ICU) and a department of anaesthesiology. We pilot-tested our tool at four hospitals in Nigeria and recruited participants electronically via the Nigerian Society of Anaesthetists directory. RESULTS: Our survey included 17 hospitals (82% public, 12% private, 6% public-private partnership), although some questions include only a subset of these. We found that 20% (3 out of 15) of hospitals had a cardiac arrest response team system, 21% (3/14) documented CPR events, and 21% (3/14) reviewed such events for education and quality improvement. Most basic supplies were sufficient in the ICU (100% [15/15] availability of defibrillators, 94% [16/17] of adrenaline) but were less available in other departments. While 67% [10/15] of hospitals had a resuscitation training program, only 27% [4/15] had at least half their physicians trained in basic life support. CONCLUSION: In this first large-scale assessment of resuscitation care in Nigeria, we found progress in training centre development and supply availability, but a paucity of cardiac arrest response team systems. Our data indicate a need for improved capacity development, especially in documentation and continuous quality improvement, both of which are low-cost solutions.

Medical Simulation as a Vital Adjunct to Identifying Clinical Life-Threatening Gaps in Austere Environments.

BACKGROUND: Maternal mortality and morbidity are major causes of death in low-resource countries, especially those in Sub-Saharan Africa. Healthcare workforce scarcities present in these locations result in poor perioperative care access and quality. These scarcities also limit the capacity for progressive development and enhancement of workforce training, and skills through continuing medical education. Newly available low-cost, in-situ simulation systems make it possible for a small cadre of trainers to use simulation to identify areas needing improvement and to rehearse best practice approaches, relevant to the context of target environments. METHODS: Nurse anesthetists were recruited throughout Sierra Leone to participate in simulation-based obstetric anesthesia scenarios at the country's national referral maternity hospital. All subjects participated in a detailed computer assisted training program to familiarize themselves with the Universal Anesthesia Machine (UAM). An expert panel rated the morbidity/mortality risk of pre-identified critical incidents within the scenario via the Delphi process. Participant responses to critical incidents were observed during these scenarios. Participants had an obstetric anesthesia pretest and post-test as well as debrief sessions focused on reviewing the significance of critical incident responses observed during the scenario. RESULTS: 21 nurse anesthetists, (20% of anesthesia providers nationally) participated. Median age was 41 years and median experience practicing anesthesia was 3.5 years. Most participants (57.1%) were female, two-thirds (66.7%) performed obstetrics anesthesia daily but 57.1% had no experience using the UAM. During the simulation, participants were observed and assessed on critical incident responses for case preparation with a median score of 7 out of 13 points, anesthesia management with a median score of 10 out of 20 points and rapid sequence intubation with a median score of 3 out of 10 points. CONCLUSION: This study identified substantial risks to patient care and provides evidence to support the feasibility and value of in-situ simulation-based performance assessment for identifying critical gaps in safe anesthesia care in the low-resource settings. Further investigations may validate the impact and sustainability of simulation based training on skills transfer and retention among anesthesia providers low resource environments.

Anesthesia Practice and Perioperative Outcomes at Two Tertiary Care Hospitals in Freetown, Sierra Leone.

BACKGROUND: Anesthesia in West Africa is associated with high mortality rates. Critical shortages of adequately trained personnel, unreliable electrical supply, and lack of basic monitoring equipment are a few of the unique challenges to surgical care in this region. This study aims to describe the anesthesia practice at 2 tertiary care hospitals in Sierra Leone. METHODS: We conducted an observational study of anesthesia care at Connaught Hospital and Princess Christian Maternity Hospital in Freetown, Sierra Leone. Twenty-five percent of the anesthesia workforce in Sierra Leone, resident at both hospitals, was observed from June 2012 to February 2013. Perioperative assessments, anesthetic techniques, and intraoperative clinical and environmental irregularities were noted and analyzed. The postoperative status of observed cases was ascertained for morbidity and mortality. RESULTS: Between the 2 hospitals, 754 anesthesia cases and 373 general anesthetics were observed. Ketamine was the predominant IV anesthetic used. Both hospitals experienced infrastructural and environmental constraints to the delivery of anesthesia care during the observation period. Vital sign monitoring was irregular and dependent on age and availability of monitors. Perioperative mortality during the course of the study was 11.9 deaths/1000 anesthetics. CONCLUSIONS: We identified gaps in the application of internationally recommended anesthesia practices at both hospitals, likely caused by lack of available resources. Mortality rates were similar to those in other resource-limited countries.

Engaging staff to improve quality and safety in an austere medical environment: a case-control study in two Sierra Leonean hospitals.

QUALITY PROBLEM OR ISSUE: Inadequate observance of basic processes in patient care such as patient monitoring and documentation practices are potential impediments to the timely diagnoses and management of patients. These gaps exist in low resource settings such as Sierra Leone and can be attributed to a myriad of factors such as workforce and technology deficiencies. INITIAL ASSESSMENT: In the study site, only 12.4% of four critical vital signs were documented in the pre-intervention period. CHOICE OF SOLUTION: Implement a failure mode and effects analysis (FMEA) to improve documentation of four patient vital signs: temperature, blood pressure, pulse rate and respiratory rate. IMPLEMENTATION: FMEA was implemented among a subpopulation of health workers who are involved in monitoring and documenting patient vital signs. Pre- and post-FMEA monitoring and documentation practice were compared with a control site. EVALUATION: Participants identified a four-step process to monitoring and documenting vital signs, three categories of failure modes and four potential solutions. Based on 2100 patient days of documentation compliance data from 147 patients between July and November 2012, staff members at the study site were 1.79 times more likely to document all four patient vital signs in the post-implementation period (95% CI [1.35, 2.38]). LESSONS LEARNED: FMEA is a feasible and effective strategy for improving quality and safety in an austere medical environment. Documentation compliance improved at the intervention facility. To evaluate the scalability and sustainability of this approach, programs targeting the development of these types of process improvement skills in local staff should be evaluated.

Failure mode and effects analysis applied to the maintenance and repair of anesthetic equipment in an austere medical environment.

OBJECTIVE: Medical technology designed for Western settings frequently does not function adequately or as intended when placed in an austere clinical environment because of issues such as the instability of the electrical grid, environmental conditions, access to replacement parts, level of provider training and general absence of biomedical engineering support. The purpose of this study was to demonstrate the feasibility of applying failure mode and effects analysis as part of an implementation strategy for medical devices in austere medical settings. DESIGN: Observational case-study. SETTING/PARTICIPANTS/INTERVENTION: We conducted failure mode and effects analysis sessions with 16 biomedical engineering technicians at two tertiary-care hospitals in Freetown, Sierra Leone. The sessions focused on maintenance and repair processes for the Universal Anaesthesia Machine. Participating biomedical engineers detailed local maintenance and repair processes and failure modes, including resource availability, communication challenges, use errors and physical access to the machine. MAIN OUTCOME MEASURE(S): Qualitative descriptive themes in barriers perceived and solutions generated by biomedical engineers. RESULTS: Solutions generated involved redesigned work processes to increase the efficiency of identifying machine malfunctions, clinician engagement strategies, a formal plan for acquiring spare parts and plans for improving access to the machine. Follow-up interviews indicated solutions generated were implemented and perceived to be effective. CONCLUSIONS: This study demonstrates the feasibility of using the failure mode and effects analysis approach to improve implementation of technology in austere medical environments.

Regional anesthesia in austere environments.

Military anesthesiologists must master the complexities of modern anesthesia at home, like their civilian counterparts, and also be prepared to provide effective, safe anesthesia in the chaotic and austere environment of the modern battlefield. This article describes the Army Regional Anesthesia Initiative and Operational Anesthesia Rotation programs designed to facilitate this difficult goal.