5 research outputs found

    Delays in care for hydrocephalus and spina bifida at a tertiary hospital in Somaliland

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    Background Childhood neurosurgical conditions such as hydrocephalus and spina bifida represent a significant burden of death and disability worldwide, particularly in low and middle-income countries. However, there are limited data on the disease prevalence and delays in care for pediatric neurosurgical conditions in very low-resource settings. This study aims to characterize the delays in access to care for pediatric neurosurgical conditions in Somaliland.Methods We performed a retrospective review of all children with congenital hydrocephalus and spina bifida admitted to the Edna University Hospital (EAUH) in Somaliland between 2011 and 2018. Patient demographics were analyzed with descriptive statistics and χ2 test statistics. We defined delays in care for each condition based on standard care in high-income settings. Univariate and multivariate logistic regression were performed to evaluate predictors of delay in care. Statistical significance was set at p<0.05.Results A total of 344 children were admitted to EAUH with neurosurgical conditions from 2011 to 2018. The most common condition was congenital hydrocephalus (62%). Delays in care were found for 90% of patients and were associated with the type of diagnosis and region. The longest delay among children with spina bifida was 60 months, while the longest delay for children with congenital hydrocephalus was 36 months. Children with congenital hydrocephalus or spina bifida traveling from foreign countries had the highest waiting time to receive care, with a median delay of 8 months (IQR: 5–11 months) and 4 months (IQR: 3–7 months), respectively.Conclusion We found significant delays in care for children with neurosurgical conditions in Somaliland. This country has an urgent need to scale up its surgical infrastructure, workforce, and referral pathways to address the needs of children with hydrocephalus and spina bifida

    Does reducing out-of-pocket costs for children’s surgical care protect families from poverty in Somaliland? A cross-sectional, national, economic evaluation modelling study

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    Objectives An estimated 1.7 billion children around the world do not have access to safe, affordable and timely surgical care, with the financing through out-of-pocket (OOP) expenses being one of the main barriers to care. Our study modelled the impact of reducing OOP costs related to surgical care for children in Somaliland on the risk of catastrophic expenditures and impoverishment.Design and setting This cross-sectional nationwide economic evaluation modelled several different approaches to reduction of paediatric OOP surgical costs in Somaliland.Participants and outcome measures A surgical record review of all procedures on children up to 15 years old was conducted at 15 surgically capable hospitals. We modelled two rates of OOP cost reduction (reduction of OOP proportion from 70% to 50% and from 70% to 30% reduction in OOP costs) across five wealth quintiles (poorest, poor, neutral, rich, richest) and two geographical areas (urban and rural). The outcome measures of the study are catastrophic expenditures and risk of impoverishment due to surgery. We followed the Consolidated Health Economic Evaluation Reporting Standards.Results We found that the risk of catastrophic and impoverishing expenditures related to OOP expenditures for paediatric surgery is high across Somaliland, but most notable in the rural areas and among the poorest quintiles. Reducing OOP expenses for surgical care to 30% would protect families in the richest wealth quintiles while minimally affecting the risk of catastrophic expenditure and impoverishment for those in the lowest wealth quintiles, particularly those in rural areas.Conclusion Our models suggest that the poorest communities in Somaliland lack protection against the risk of catastrophic health expenditure and impoverishment, even if OOP payments are reduced to 30% of surgical costs. A comprehensive financial protection in addition to reduction of OOP costs is required to prevent risk of impoverishment in these communities

    SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study

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    Background: Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling. Methods: The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death in 1 year. NNVs were based on postoperative SARS-CoV-2 rates and mortality in an international cohort study (surgical patients), and community SARS-CoV-2 incidence and case fatality data (general population). NNV estimates were stratified by age (18-49, 50-69, 70 or more years) and type of surgery. Best- and worst-case scenarios were used to describe uncertainty. Results: NNVs were more favourable in surgical patients than the general population. The most favourable NNVs were in patients aged 70 years or more needing cancer surgery (351; best case 196, worst case 816) or non-cancer surgery (733; best case 407, worst case 1664). Both exceeded the NNV in the general population (1840; best case 1196, worst case 3066). NNVs for surgical patients remained favourable at a range of SARS-CoV-2 incidence rates in sensitivity analysis modelling. Globally, prioritizing preoperative vaccination of patients needing elective surgery ahead of the general population could prevent an additional 58 687 (best case 115 007, worst case 20 177) COVID-19-related deaths in 1 year. Conclusion: As global roll out of SARS-CoV-2 vaccination proceeds, patients needing elective surgery should be prioritized ahead of the general population
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