Trends in neurosurgical care in Western Uganda: an interrupted time series analysis.

OBJECTIVE: In addition to the rising burden of surgical disease globally, infrastructure and human resources for health remain a great challenge for low- and middle-income countries, especially in Uganda. In this study, the authors aim to explore the trends of neurosurgical care at a regional referral hospital in Uganda and assess the long-term impact of the institutional collaboration between Mulago National Referral Hospital and Duke University. METHODS: An interrupted time series is a quasi-experimental design used to evaluate the effects of an intervention on longitudinal data. The authors applied this design to evaluate the trends in monthly mortality rates for neurosurgery patients at Mbarara Regional Referral Hospital (MRRH) from March 2013 to October 2015. They used segmented regression and autoregressive integrated moving average models for the analysis. RESULTS: Over the study timeframe, MRRH experienced significant increases in referrals received (from 117 in 2013 to 211 in 2015), neurosurgery patients treated (from 337 in 2013 to 625 in 2015), and operations performed (from 61 in 2013 to 173 in 2015). Despite increasing patient volumes, the hospital achieved a significant reduction in hospital mortality during 2015 compared to prior years (p value = 0.0039). CONCLUSIONS: This interrupted time series analysis study showed improving trends of neurosurgical care in Western Uganda. There is a steady increase in volume accompanied by a sharp decrease in mortality through the years. Multiple factors are implicated in the significant increase in volume and decrease in mortality, including the addition of a part-time neurosurgeon, improvement in infrastructure, and increased experience. Further in-depth prospective studies exploring seasonality and long-term outcomes are warranted.

Pediatric traumatic brain injury at Mbarara Regional Referral Hospital, Uganda.

BACKGROUND: In Uganda, TBI constitute the majority of neurosurgical admissions and deaths specially in the pediatric population. This study aims to determine the factors associated with poor outcome among pediatric TBI cases at a major referral hospital in western Uganda. METHODS: This study was conducted at Mbarara Regional Referral Hospital (MRRH) in western Uganda. All pediatric neurosurgical cases between 2012 and 2015 were reviewed. In-hospital mortality and discharge GCS were the main outcomes of interest. Multivariable logistic regression with backward elimination was used to determine the factors significantly associated with outcome. RESULTS: A total of 381 pediatric TBI patients were admitted to MRRH between 2012 and 2015. The mean age was 8.6 (SD 5.6) with a male predominance (62.0%). The most common mechanism of injury overall was RTI, which was responsible for 71% of all TBI cases. In the multivariable logistic regression model, admission GCS < 13 was a strong predictor of poor outcome and in-hospital mortality compared to admission GCS ≥ 13, with patients demonstrating an odds ratio of 30 (95%CI: 7-132) and OR of 18 (95%CI: 4-79), respectively. CONCLUSION: Given the lack of published literature on pediatric TBI in LMICs, this study was the first to describe and evaluate risk factors associated with TBI severity among pediatric patients at a major referral hospital in western Uganda. Injury severity on admission was the only variable found to be significantly associated with discharge outcome. This study ultimately highlights the need for more effective preventative measures to decrease admission severity.

Pilot Use of a Novel Tool to Assess Neurosurgical Capacity in Uganda.

INTRODUCTION: There is a significant burden of unmet surgical need in many low- and middle-income countries (>80% in parts of Africa). This need is even larger for specialties such as neurosurgery. Surgical capacity tools have been developed and used to assess needs and plan for resource allocation. This study piloted a new tool to assess neurosurgical capacity and describes its use. METHODS: A surgical capacity tool was adapted to assess neurosurgical capacity. An expert panel of neurosurgeons and researchers reviewed the Surgeons OverSeas PIPES (personnel, infrastructure, procedures, equipment, and supplies) assessment and added additional items essential to perform common neurosurgery procedures. This tool was then piloted at 3 public hospitals in Uganda and each hospital was given a score of neurosurgical capacity. At 1 hospital, 3 respondents were asked to answer the survey to assess reliability. RESULTS: The hospital with the largest neurosurgery caseload and 5 neurosurgeons scored the highest on our survey, followed by a regional hospital with 1 practicing neurosurgeon. The third hospital, without a neurosurgeon, scored the lowest on the scale. At the hospital that completed the reliability assessment, scores were varied between respondents. CONCLUSIONS: NeuroPIPES survey scores were in keeping with the number of neurosurgeons and respective caseloads of each hospital. However, the variation in scores between respondents at the same hospital suggests that adaptations could be made to the tool that may improve reliability and validity. The methodology used to create NeuroPIPES may be successfully applied to a variety of other surgical subspecialties for similar assessments.

Epidemiology and Characteristics of Neurosurgical Conditions at Mbarara Regional Referral Hospital.

BACKGROUND: The unmet surgical need, specifically neurosurgical need, in Uganda is significant, yet only 2 public hospitals currently perform neurosurgery in the country. This study examines the epidemiology and outcomes of neurosurgical conditions presenting to 1 of 12 regional referral hospitals in Uganda, in an effort to understand the neurosurgical needs of this population. METHODS: The study was conducted at Mbarara Regional Referral Hospital (MRRH), in southwestern Uganda. Demographics, clinical characteristics, and outcomes were retrospectively collected for all patients who presented to MRRH with a neurosurgical condition between January 2012 and September 2015. RESULTS: During the study period, 1854 patients presented to MRRH with a neurosurgical condition. More than half of the patients were between 19 and 40 years old, and the majority were males (76.1%). The overall median length of stay was 5 days (interquartile range: 2.5-10). The majority of admissions were due to trauma (87%), with almost 60% due to road traffic incidents. The overall mortality rate was 12.8%. A multivariable Cox proportional hazards model revealed that age, closed head injury, and admission Glasgow Coma Scale have a strong positive correlation with mortality while getting a diagnostic image and neurosurgical procedure were negatively correlated with mortality. CONCLUSION: Traumatic brain injury represented the majority of neurosurgical admissions at MRRH, disproportionately affecting young males. Age, closed head injury, admission Glasgow Coma Scale, getting a diagnostic image, and neurosurgical procedure were all independent predictors of mortality. Resource appropriate interventions throughout the health system are needed to meet the demand and improve outcomes.

Estimating the Cost of Neurosurgical Procedures in a Low-Income Setting: An Observational Economic Analysis.

BACKGROUND: There are no data on cost of neurosurgery in low-income and middle-income countries. The objective of this study was to estimate the cost of neurosurgical procedures in a low-resource setting to better inform resource allocation and health sector planning. METHODS: In this observational economic analysis, microcosting was used to estimate the direct and indirect costs of neurosurgical procedures at Mulago National Referral Hospital (Kampala, Uganda). RESULTS: During the study period, October 2014 to September 2015, 1440 charts were reviewed. Of these patients, 434 had surgery, whereas the other 1006 were treated nonsurgically. Thirteen types of procedures were performed at the hospital. The estimated mean cost of a neurosurgical procedure was $542.14 (standard deviation [SD], $253.62). The mean cost of different procedures ranged from $291 (SD, $101) for burr hole evacuations to $1,221 (SD, $473) for excision of brain tumors. For most surgeries, overhead costs represented the largest proportion of the total cost (29%-41%). CONCLUSIONS: This is the first study using primary data to determine the cost of neurosurgery in a low-resource setting. Operating theater capacity is likely the binding constraint on operative volume, and thus, investing in operating theaters should achieve a higher level of efficiency. Findings from this study could be used by stakeholders and policy makers for resource allocation and to perform economic analyses to establish the value of neurosurgery in achieving global health goals.