Assessment of Surgical Care Provided in National Health Services Hospitals in Mozambique: The Importance of Subnational Metrics in Global Surgery

Augmented Reality (AR) in Surgery in Low- and Middle-Income Countries (LMICs): A Scoping Review

Surgical disparities persist in low- and middle-income countries (LMICs). Insufficient access to surgical care places a large burden on these regions, with high mortality rates for otherwise standard procedures performed in high-income countries (HICs). Augmented Reality (AR) and Virtual Reality (VR) now provide us with a platform to improve the delivery of surgical access and training to LMICs. The use of AR technologies to provide additional training to surgeons and residents globally can help bridge the gap and reduce health disparities in LMICs. The goal of this scoping review is to evaluate whether surgical trainees and surgeons from LMICs have access to or use AR software in their training or practice. A systematic search was conducted on seven databases. Inclusion criteria included populations in LMICs with access to AR-based training. Articles using VR software, or those conducted in HICs were excluded from the review. From the 428 records screened, 58 reports were assessed for eligibility, and of these, a total of six studies were included in the review. Five of the six studies used mentors from an HIC, including the United States (US) and the United Kingdom (UK), whereas one study had mentorship from another LMIC. Three surgical specialties were explored: neurosurgery, plastic surgery, and urology. Although the integration of AR in surgical training is promising, the six studies evaluated in this review emphasize that costs and connection issues are major challenges that can set back these technologies in the operating room. Despite these revelations, with certain improvements, AR training programs are promising as they can help to reduce the global disparity in surgical proficiency.

A Nationwide Enumeration of the Surgical Workforce, its Production and Disparities in Operative Productivity in Liberia

Background

Any health care system that strives to deliver good health and well-being to its population relies on a trained workforce. The aim of this study was to enumerate surgical provider density, describe operative productivity and assess the association between key surgical system characteristics and surgical provider productivity in Liberia.

Methods

A nationwide survey of operation theatre logbooks, available human resources and facility infrastructure was conducted in 2018. Surgical providers were counted, and their productivity was calculated based on operative numbers and full-time equivalent positions.

Results

A total of 286 surgical providers were counted, of whom 67 were accredited specialists. This translated into a national density of 1.6 specialist providers per 100,000 population. Non-specialist physicians performed 58.3 percent (3607 of 6188) of all operations. Overall, surgical providers performed a median of 1.0 (IQR 0.5–2.7) operation per week, and there were large disparities in operative productivity within the workforce. Most operations (5483 of 6188) were categorized as essential, and each surgical provider performed a median of 2.0 (IQR 1.0–5.0) different types of essential procedures. Surgical providers who performed 7–14 different types of essential procedures were more than eight times as productive as providers who performed 0–1 essential procedure (operative productivity ratio = 8.66, 95% CI 6.27–11.97, P < 0.001).

Conclusion

The Liberian health care system struggles with an alarming combination of few surgical providers and low provider productivity. Disaggregated data can provide a high-resolution picture of local challenges that can lead to local solutions.

Design and Implementation of Postgraduate Programs in Health in a Resource-Limited Setting in Mozambique (The Lúrio University)

PURPOSE

To describe the strategies used to design and implement three postgraduate programs at Lúrio University (UniLúrio), a resource-limited setting, in northern Mozambique.

METHODS

We conducted a longitudinal, descriptive case study from 2011 to 2018 in two phases: 1) needs assessment (2011-2012), 2) implementation strategies (2013-2018), taking into account innovations whenever necessary.

RESULTS

Several obstacles and barriers to the establishment of postgraduate programs were identified. These included a lack of a core curricula aimed at postgraduate programs, shortage of human resources for teaching and mentorship, limited teaching and research infrastructures, limited financial resources, and lack of administrative capacity. With the support of the Medical Education Partnership Initiative (MEPI), three Master degree programs were designed and implemented. During the period of 2013-2018, UniLúrio enrolled 202 students, distributed as follows: Master degree in Tropical Medicine and Global Health (55), Master degree in Health Professional Education (99), and Master degree in Nutrition and Food Security (48). Of those, 152 (75.2%) obtained a Postgraduate Diploma as they did not present a master dissertation, 89 (44.0%) obtained their Master degree, 30 (14.8%) dropped out, and 20 (9.9%) are awaiting decision. UniLurio's staff trained a Master's degree or a Postgraduate Diploma in 34 (16.8%) and 15 (7.4%), respectively. Our strategies allowed us to improve research capacity building, and set the basis for long-term sustainability by allowing for the establishment of other postgraduate programs, and offered UniLurio a strong role in its internationalization.

CONCLUSION

By sharing multiple resources, long-lasting partnerships were established with multiple institutions, and competency-based training and postgraduate studies management were developed. Research and eLearning were leveraged, retention and faculty development was enhanced, and some inequalities within the country were reduced. These strategies and innovations can be applied to other resource-limited settings, allowing the scaleup of health professional's training and research capacity building.