COVID-19 vaccination strategies in Africa: A scoping review of the use of mathematical models to inform policy.

OBJECTIVE: Mathematical models are vital tools to understand transmission dynamics and assess the impact of interventions to mitigate COVID-19. However, historically, their use in Africa has been limited. In this scoping review, we assess how mathematical models were used to study COVID-19 vaccination to potentially inform pandemic planning and response in Africa. METHODS: We searched six electronic databases: MEDLINE, Embase, Web of Science, Global Health, MathSciNet and Africa-Wide NiPAD, using keywords to identify articles focused on the use of mathematical modelling studies of COVID-19 vaccination in Africa that were published as of October 2022. We extracted the details on the country, author affiliation, characteristics of models, policy intent and heterogeneity factors. We assessed quality using 21-point scale criteria on model characteristics and content of the studies. RESULTS: The literature search yielded 462 articles, of which 32 were included based on the eligibility criteria. Nineteen (59%) studies had a first author affiliated with an African country. Of the 32 included studies, 30 (94%) were compartmental models. By country, most studies were about or included South Africa (n = 12, 37%), followed by Morocco (n = 6, 19%) and Ethiopia (n = 5, 16%). Most studies (n = 19, 59%) assessed the impact of increasing vaccination coverage on COVID-19 burden. Half (n = 16, 50%) had policy intent: prioritising or selecting interventions, pandemic planning and response, vaccine distribution and optimisation strategies and understanding transmission dynamics of COVID-19. Fourteen studies (44%) were of medium quality and eight (25%) were of high quality. CONCLUSIONS: While decision-makers could draw vital insights from the evidence generated from mathematical modelling to inform policy, we found that there was limited use of such models exploring vaccination impacts for COVID-19 in Africa. The disparity can be addressed by scaling up mathematical modelling training, increasing collaborative opportunities between modellers and policymakers, and increasing access to funding.

Increasing access to pediatric surgical care: Assessing district hospital readiness in rural Rwanda.

Introduction/Background: Safe and quality surgery is crucial for child health. In Rwanda, district hospitals serve as primary entry points for pediatric patients needing surgical care. This paper reports on the organizational readiness and facility capacity to provide pediatric surgery in three district hospitals in rural Rwanda. Methods: We administered the Children's Surgical Assessment Tool (CSAT), adapted for a Rwandan district hospital, to assess facility readiness across 5 domains (infrastructure, workforce, service delivery, financing, and training) at three Partners in Health supported district hospitals (Kirehe, Rwinkwavu, and Butaro District Hospitals). We used the Safe Surgery Organizational Readiness Tool (SSORT) to measure perceived individual and team readiness to implement surgical quality improvement interventions across 14 domains. Results: None of the facilities had a dedicated pediatric surgeon, and the most common barriers to pediatric surgery were lack of surgeon (68%), lack of physician anesthesiologists (19%), and inadequate infrastructure (17%). There were gaps in operating and recovery room infrastructure, and information management for pediatric outpatients and referrals. In SSORT interviews (n=47), the highest barriers to increasing pediatric surgery capacity were facility capacity (mean score=2.6 out of 5), psychological safety (median score=3.0 out of 5), and resistance to change (mean score=1.5 out of 5 with 5=no resistance). Conclusions: This study highlights challenges in providing safe and high-quality surgical care to pediatric patients in three rural district hospitals in Rwanda. It underscores the need for targeted interventions to address facility and organizational barriers prior to implementing interventions to expand pediatric surgical capacity.

Evidence-based Decision Making: Infectious Disease Modeling Training for Policymakers in East Africa.

Background: Mathematical modeling of infectious diseases is an important decision-making tool for outbreak control. However, in Africa, limited expertise reduces the use and impact of these tools on policy. Therefore, there is a need to build capacity in Africa for the use of mathematical modeling to inform policy. Here we describe our experience implementing a mathematical modeling training program for public health professionals in East Africa. Methods: We used a deliverable-driven and learning-by-doing model to introduce trainees to the mathematical modeling of infectious diseases. The training comprised two two-week in-person sessions and a practicum where trainees received intensive mentorship. Trainees evaluated the content and structure of the course at the end of each week, and this feedback informed the strategy for subsequent weeks. Findings: Out of 875 applications from 38 countries, we selected ten trainees from three countries - Rwanda (6), Kenya (2), and Uganda (2) - with guidance from an advisory committee. Nine trainees were based at government institutions and one at an academic organization. Participants gained skills in developing models to answer questions of interest and critically appraising modeling studies. At the end of the training, trainees prepared policy briefs summarizing their modeling study findings. These were presented at a dissemination event to policymakers, researchers, and program managers. All trainees indicated they would recommend the course to colleagues and rated the quality of the training with a median score of 9/10. Conclusions: Mathematical modeling training programs for public health professionals in Africa can be an effective tool for research capacity building and policy support to mitigate infectious disease burden and forecast resources. Overall, the course was successful, owing to a combination of factors, including institutional support, trainees' commitment, intensive mentorship, a diverse trainee pool, and regular evaluations.

COVID-19 vaccine acceptance in three rural communes in Haiti: A cross-sectional study.

Vaccines are the most effective mechanism for ending the COVID-19 pandemic. However, reluctance to accept vaccines has hindered the efforts of health authorities to combat the virus. In Haiti, as of July 2021, less than 1% of the country's population has been fully vaccinated in part due to vaccine hesitancy. Our goal was to assess Haitian attitudes toward COVID-19 vaccination and investigate the primary reasons for Moderna vaccine hesitancy. We conducted a cross-sectional survey across three rural Haitian communities, in September 2021. The research team used electronic tablets to collect quantitative data from 1,071 respondents, selected randomly across the communities. We report descriptive statistics and identify variables associated with vaccine acceptance using logistic regression built using a backward stepwise approach. Among 1,071 respondents, the overall acceptance rate was 27.0% (n = 285). The most common reason for vaccine hesitancy was "concern about side effects" (n = 484, 67.1%) followed by "concern about contracting COVID-19 from the vaccine" (n = 472, 65.4%). Three-quarters of respondents (n = 817) identified their healthcare workers as their most trustworthy source for information related to the vaccine. In the bivariate analysis, male gender (p = .06) and no history of drinking alcohol (p < .001) were significantly associated with being more likely to take the vaccine. In the final reduced model, only those with a history of drinking alcohol were significantly more likely to take the vaccine (aOR = 1.47 (1.23, 1.87) p < .001). The acceptance rate for the COVID-19 vaccine is low, and public health experts should design and strengthen vaccination campaigns to combat misinformation and public distrust.

Feasibility and effectiveness of self-monitoring of blood glucose among insulin-dependent patients with type 2 diabetes: open randomized control trial in three rural districts in Rwanda.

BACKGROUND: The prevalence of type 2 diabetes in sub Saharan Africa (SSA) has been on the rise. Effective control of blood glucose is key towards reducing the risk of diabetes complications. Findings mainly from high-income countries have demonstrated the effectiveness of self-monitoring of blood-glucose (SMBG) in controlling blood glucose levels. However, there are limited studies describing the implementation of SMBG in rural SSA. This study explores the feasibility and effectiveness of implementing SMBG among patients diagnosed with insulin-dependent type 2 diabetes in rural Rwanda. METHODS: Participants were randomized into intervention (n = 42) and control (n = 38) groups. The intervention group received a glucose-meter, blood test-strips, log-book, waste management box and training on SMBG in addition to usual care. The control group continued with their usual care consisting of, routine monthly medical consultation and health education. The primary outcomes were adherence to the implementation of SMBG (testing schedule and recording data in the log-book) and change in hemoglobin A1c. Descriptive statistics and a paired t-test were used to analyze the primary outcomes. RESULTS: In both the intervention and control arms, majority of the participants were female (59.5% vs 52.6%) and married (71.4% vs 73.7%). Most had at most a primary level education (83.3% vs. 89.4%) and were farmers (54.8% vs. 50.0%). Among those in the intervention group, 63.4% showed good adherence to implementing SMBG based on the number of tests recorded in the glucose meter. Only 20.3% demonstrated accurate recording of the glucose level tests in log-books. The mean difference of the HbA1C from baseline to six months post-intervention was significantly better among the intervention group -0.94% (95% CI -1.46, -0.41) compared to the control group 0.73% (95% CI -0.09, 1.54) p < 0.001. CONCLUSION: Our study showed that among patients with insulin-dependent type 2 diabetes residing in rural Rwanda, SMBG was feasible and demonstrated positive outcomes in improving blood glucose control. However, there is need for strategies to enhance accuracy in recording blood glucose test results in the log-book. TRIAL REGISTRATION: The trial was registered retrospectively on the Pan African Clinical Trial Registry, on 17th May 2019. The registration number is PACTR201905538846394.

Gender equity in health research publishing in Africa.

INTRODUCTION: Women researchers find it more difficult to publish in academic journals than men, an inequity that affects women's careers and was exacerbated during the pandemic, particularly for women in low-income and middle-income countries. We measured publishing by sub-Saharan African (SSA) women in prestigious authorship positions (first or last author, or single author) during the time frame 2014-2016. We also examined policies and practices at journals publishing high rates of women scientists from sub-Saharan Africa, to identify potential structural enablers affecting these women in publishing. METHODS: The study used Namsor V.2, an application programming interface, to conduct a secondary analysis of a bibliometric database. We also analysed policies and practices of ten journals with the highest number of SSA women publishing in first authorship positions. RESULTS: Based on regional analyses, the greatest magnitude of authorship inequity is in papers from sub-Saharan Africa, where men comprised 61% of first authors, 65% of last authors and 66% of single authors. Women from South Africa and Nigeria had greater success in publishing than those from other SSA countries, though women represented at least 20% of last authors in 25 SSA countries. The journals that published the most SSA women as prominent authors are journals based in SSA. Journals with overwhelmingly male leadership are also among those publishing the highest number of SSA women. CONCLUSION: Women scholars in SSA face substantial gender inequities in publishing in prestigious authorship positions in academic journals, though there is a cadre of women research leaders across the region. Journals in SSA are important for local women scholars and the inequities SSA women researchers face are not necessarily attributable to gender discrepancy in journals' editorial leadership.

mHealth-community health worker telemedicine intervention for surgical site infection diagnosis: a prospective study among women delivering via caesarean section in rural Rwanda.

BACKGROUND: Surgical site infections (SSIs) cause a significant global public health burden in low and middle-income countries. Most SSIs develop after patient discharge and may go undetected. We assessed the feasibility and diagnostic accuracy of an mHealth-community health worker (CHW) home-based telemedicine intervention to diagnose SSIs in women who delivered via caesarean section in rural Rwanda. METHODS: This prospective cohort study included women who underwent a caesarean section at Kirehe District Hospital between September 2019 and March 2020. At postoperative day 10 (±3 days), a trained CHW visited the woman at home, provided wound care and transmitted a photo of the wound to a remote general practitioner (GP) via WhatsApp. The GP reviewed the photo and made an SSI diagnosis. The next day, the woman returned to the hospital for physical examination by an independent GP, whose SSI diagnosis was considered the gold standard for our analysis. We describe the intervention process indicators and report the sensitivity and specificity of the telemedicine-based diagnosis. RESULTS: Of 787 women included in the study, 91.4% (n=719) were located at their home by the CHW and all of them (n=719, 100%) accepted the intervention. The full intervention was completed, including receipt of GP telemedicine diagnosis within 1 hour, for 79.0% (n=623). The GPs diagnosed 30 SSIs (4.2%) through telemedicine and 38 SSIs (5.4%) through physical examination. The telemedicine sensitivity was 36.8% and specificity was 97.6%. The negative predictive value was 96.4%. CONCLUSIONS: Implementation of an mHealth-CHW home-based intervention in rural Rwanda and similar settings is feasible. Patients' acceptance of the intervention was key to its success. The telemedicine-based SSI diagnosis had a high negative predictive value but a low sensitivity. Further studies must explore strategies to improve accuracy, such as accompanying wound images with clinical data or developing algorithms using machine learning.

Does community-based health insurance protect women from financial catastrophe after cesarean section? A prospective study from a rural hospital in Rwanda.

BACKGROUND: The implementation of community-based health insurance in (CBHI) in Rwanda has reduced out of pocket (OOP) spending for the > 79% of citizens who enroll in it but the effect for surgical patients is not well described. For all but the poorest citizens who are completely subsidized, the OOP (out of pocket) payment at time of service is 10%. However, 55.5% of the population is below the international poverty line meaning that even this copay can have a significant impact on a family's financial health. The aim of this study was to estimate the burden of OOP payments for cesarean sections in the context of CBHI and determine if having it reduces catastrophic health expenditure (CHE). METHODS: This study is nested in a larger randomized controlled trial of women undergoing cesarean section at a district hospital in Rwanda. Eligible patients were surveyed at discharge to quantify household income and routine monthly expenditures and direct and indirect spending related to the hospitalization. This was used in conjunction with hospital billing records to calculate the rate of catastrophic expenditure by insurance group. RESULTS: About 94% of the 340 women met the World Bank definition of extreme poverty. Of the 330 (97.1%) with any type of health insurance, the majority (n = 310, 91.2%) have CBHI. The average OOP expenditure for a cesarean section and hospitalization was $9.36. The average cost adding transportation to the hospital was $19.29. 164 (48.2%) had to borrow money and 43 (12.7%) had to sell possessions. The hospital bill alone was a CHE for 5.3% of patients. However, when including transportation costs, 15.4% incurred a CHE and including lost wages, 22.6%. CONCLUSION: To ensure universal health coverage (UHC), essential surgical care must be affordable. Despite enrollment in universal health insurance, cesarean section still impoverishes households in rural Rwanda, the majority of whom already lie below the poverty line. Although CBHI protects against CHE from the cost of healthcare, when adding in the cost of transportation, lost wages and caregivers, cesarean section is still often a catastrophic financial event. Further innovation in financial risk protection is needed to provide equitable UHC.

Surgical Site Infections and Antimicrobial Resistance After Cesarean Section Delivery in Rural Rwanda.

Background: As the volume of surgical cases in low- and middle-income countries (LMICs) increases, surgical-site infections (SSIs) are becoming more prevalent with anecdotal evidence of antimicrobial resistance (AMR), despite a paucity of data on resistance patterns. Objectives: As a primary objective, this prospective study aimed to describe the epidemiology of SSIs and the associated AMR among women who delivered by cesarean at a rural Rwandan hospital. As secondary objectives, this study also assessed patient demographics, pre- and post-operative antibiotic use, and SSI treatment. Methods: Women who underwent cesarean deliveries at Kirehe District Hospital between September 23rd, 2019, and March 16th, 2020, were enrolled prospectively. On postoperative day (POD) 11 (+/- 3 days), their wounds were examined. When an SSI was diagnosed, a wound swab was collected and sent to the Rwandan National Reference Laboratory for culturing and antibiotic susceptibility testing. Findings: Nine hundred thirty women were enrolled, of whom 795 (85.5%) returned for the POD 11 clinic visit. 45 (5.7%) of the 795 were diagnosed with SSI and swabs were collected from 44 of these 45 women. From these 44 swabs, 57 potential pathogens were isolated. The most prevalent bacteria were coagulase-negative staphylococci (n = 12/57, 20.3% of all isolates), and Acinetobacter baumannii complex (n = 9/57, 15.2%). 68.4% (n = 39) of isolates were gram negative; 86.7% if excluding coagulase-negative staphylococci. No gram-negative pathogens isolated were susceptible to ampicillin, and the vast majority demonstrated intermediate susceptibility or resistance to ceftriaxone (92.1%) and cefepime (84.6%). Conclusions: Bacterial isolates from SSI swab cultures in rural Rwanda predominantly consisted of gram-negative pathogens and were largely resistant to commonly used antibiotics. This raises concerns about the effectiveness of antibiotics currently used for surgical prophylaxis and treatment and may guide the appropriate selection of treatment of SSIs in rural Rwanda and comparable settings.

How Do We Decolonize Global Health in Medical Education?

Medical schools are increasing global health training opportunities, but these have been marketed to medical students as an exotic vocation. The challenges of global health education in high income country (HIC) medical schools are rooted within broader inequities in global health partnerships. More meaningful engagement during medical training is hindered by students' inability to take extended absences, difficulty securing funding, a paucity of mentors with demonstrated commitment to equitable global health practice, and inadequate preparation. Calls for decolonizing global health have recently amplified, and medical schools must seize the opportunity to train decolonizers. We outline steps medical schools can adopt to shift their global health education approach to develop practitioners better prepared to contribute equitably. First, students should be exposed to more global health courses, including the history of colonial medicine and its effects on specific local contexts. Medical schools should deemphasize short-term unidirectional engagement, and encourage extended experiences. International experiences must have clearly defined roles, clarified with pre-visit contracts and supervision of the experience to ensure students do not engage in medicine above their level of training. For any exchange, medical schools must provide pre-visit training that includes site-specific orientation and strategies for effective collaboration. Finally, medical schools must recruit faculty committed to developing equitable, long-term collaborations, and institutional promotion criteria must be aligned to encourage this work. An understanding and commitment to this lifelong practice can be fostered through medical school curricula that expose students to global health work that prioritizes equity in clinical work and research.

Mixed Methods Lot Quality Assurance Sampling: A novel, rapid methodology to inform equity focused maternal health programming in rural Rajasthan, India.

India has experienced a significant increase in facility-based delivery (FBD) coverage and reduction in maternal mortality. Nevertheless, India continues to have high levels of maternal health inequity. Improving equity requires data collection methods that can produce a better contextual understanding of how vulnerable populations access and interact with the health care system at a local level. While large population-level surveys are valuable, they are resource intensive and often lack the contextual specificity and timeliness to be useful for local health programming. Qualitative methods can be resource intensive and may lack generalizability. We describe an innovative mixed-methods application of Large Country-Lot Quality Assurance Sampling (LC-LQAS) that provides local coverage data and qualitative insights for both FBD and antenatal care (ANC) in a low-cost and timely manner that is useful for health care providers working in specific contexts. LC-LQAS is a version of LQAS that combines LQAS for local level classification with multistage cluster sampling to obtain precise regional or national coverage estimates. We integrated qualitative questions to uncover mothers' experiences accessing maternal health care in the rural district of Sri Ganganagar, Rajasthan, India. We interviewed 313 recently delivered, low-income women in 18 subdistricts. All respondents participated in both qualitative and quantitative components. All subdistricts were classified as having high FBD coverage with the upper threshold set at 85%, suggesting that improved coverage has extended to vulnerable women. However, only two subdistricts were classified as high ANC coverage with the upper threshold set at 40%. Qualitative data revealed a severe lack of agency among respondents and that household norms of care seeking influenced uptake of ANC and FBD. We additionally report on implementation outcomes (acceptability, feasibility, appropriateness, effectiveness, fidelity, and cost) and how study results informed the programs of a local health non-profit.

One hundred thirty-three observed COVID-19 deaths in 10 months: unpacking lower than predicted mortality in Rwanda.

The African region was predicted to have worse COVID-19 infection and death rates due to challenging health systems and social determinants of health. However, in the 10 months after its first case, Rwanda recorded 10316 cases and 133 COVID-19-related deaths translating to a case fatality rate (CFR) of 1.3%, which raised the question: why does Rwanda have a low COVID-19 CFR? Here we analysed COVID-19 data and explored possible explanations to better understand the disease burden in the context of Rwanda's infection control strategies.We investigated whether the age distribution plays a role in the observed low CFR in Rwanda by comparing the expected number of deaths for 10-year age bands based on the CFR reported in other countries with the observed number of deaths for each age group. We found that the age-specific CFRs in Rwanda are similar to or, in some older age groups, slightly higher than those in other countries, suggesting that the lower population level CFR reflects the younger age structure in Rwanda, rather than a lower risk of death conditional on age. We also accounted for Rwanda's comprehensive SARS-CoV-2 testing strategies and reliable documentation of COVID-19-related deaths and deduced that these measures may have allowed them to likely identify more asymptomatic or mild cases than other countries and reduced their reported CFR.Overall, the observed low COVID-19 deaths in Rwanda is likely influenced by the combination of effective infection control strategies, reliable identification of cases and reporting of deaths, and the population's young age structure.

Presentation of Pediatric Unintentional Injuries at Rural Hospitals in Rwanda: A Retrospective Study.

Background: Injuries are a leading cause of mortality among children globally, with children in low- and middle-income countries more likely to die if injured compared to children in high-income countries. Timely and high-quality care are essential to reduce injury-related morbidity and mortality. Objectives: This study describes patterns, management, and outcomes of children 0-15 years presenting with unintentional injuries at three district hospitals in rural Rwanda between January 1 and December 31, 2017. Methods: Using a retrospective cross-sectional study design, we assessed the demographic and clinical characteristics, care provided, and outcomes of the children using data extracted from patient medical charts. We describe the patient population using frequencies and proportions as well as median and interquartile ranges. Findings: Of the 449 injured children who sought care at the three rural district hospitals, 66.2% (n = 297) were boys. The main causes of injury were falls (n = 261, 58.1%), burns (n = 101, 22.5%), and road traffic injuries (n = 67, 14.9%). Burns were the most common injury among children aged 0-5 years while falls were the leading injury type among the 5-15 years age group. Vital signs were inconsistently completed ranging between 23.8-89.1% of vital sign items. Of the injured children, 37.0% (n = 166) received surgery at the district hospital, general practitioners performed 80.9% (n = 114) of surgeries, 87.4% (n = 145) of operated patients received no anesthesia, and 69.3% (n = 311) were admitted to the district hospital, while 2.7% (n = 12) were transferred to tertiary facilities for higher-level care. Conclusions: The presentation of child injuries-namely falls, burns, and road traffic accidents-is similar to what has been reported in other sub-Saharan African countries. However, more needs to be done to improve the completion and documentation of vital signs and increase availability of surgical specialists. Finally, targeted strategies to prevent burns and motorcycle-related injuries are recommended prevention interventions for this rural population.

Implementation, Outputs, and Cost of a National Operational Research Training in Rwanda.

Background: Training and mentorship in research skills are essential to developing a critical mass of researchers in low- and middle-income countries (LMICs). However, reporting on the details of such training programs, especially regarding the cost of the training, is limited. Objectives: This paper describes a year-long operational research training and mentorship course in Rwanda, implemented between 2013 and 2017. Approach: We describe motivations for the design of the Intermediate Operational Research Training Course (IORT) across four iterations. We also report outputs, evaluate trainee experiences, and estimate training and mentorship costs. Findings: Of the 132 applicants to the course, 55 (41.7%) were selected, and 53 (96.4%) completed the training. The ratio of female-to-male trainees in the course increased from 1:8 in 2013 to 1:3 in 2017. Trainees developed and co-first-authored 28 research manuscripts, 96.4% (n = 27) of which are published in peer-reviewed journals. For the 15 trainees who completed the post-course evaluation, 93.3% and 86.7% reported improvement in their research and analytical skills, respectively. The median cost per trainee to complete the course was US$908 (Range: US$739-US$1,253) and per research project was US$2,708 (US$1,748-US$6,741). The median annual training delivery and mentorship cost was US$47,170 (US$30,563-US$63,849) for a course with a Rwanda-based senior mentor, junior mentor, and training coordinator. The total essential cost for a year-long IORT course with 16 trainees co-leading eight research projects and mentored by two senior and four junior mentors was US$101,254 (US$73,486-US$157,569). Conclusion: We attribute the high course completion rates, publication rates, and skills acquisition to the learning-by-doing approach and intensive hands-on mentorship provided in the course. IORT was costly and funded through institutional resources and international partnerships. We encourage funders to prioritize comprehensive research capacity-building initiatives that provide intensive mentorship as these are likely to improve the pool of skilled researchers in LMICs.

Implementation of blood glucose self-monitoring among insulin-dependent patients with type 2 diabetes in three rural districts in Rwanda: 6 months open randomised controlled trial.

INTRODUCTION: Most patients diagnosed with diabetes in sub-Saharan Africa (SSA) present with poorly controlled blood glucose, which is associated with increased risks of complications and greater financial burden on both the patients and health systems. Insulin-dependent patients with diabetes in SSA lack appropriate home-based monitoring technology to inform themselves and clinicians of the daily fluctuations in blood glucose. Without sufficient home-based data, insulin adjustments are not data driven and adopting individual behavioural change for glucose control in SSA does not have a systematic path towards improvement. METHODS AND ANALYSIS: This study explores the feasibility and impact of implementing self-monitoring of blood glucose (SMBG) in patients with type 2 diabetes in rural Rwandan districts. This is an open randomised controlled trial comprising of two arms: (1) Intervention group-participants will receive a glucose metre, blood test strips, logbook, waste management box and training on how to conduct SMBG in additional to usual care and (2) Control group-participants will receive usual care, comprising of clinical consultations and routine monthly follow-up. We will conduct qualitative interviews at enrolment and at the end of the study to assess knowledge of diabetes. At the end of the study period, we will interview clinicians and participants to assess the perceived usefulness, facilitators and barriers of SMBG. The primary outcomes are change in haemoglobin A1c, fidelity to SMBG protocol by patients, appropriateness and adverse effects resulting from SMBG. Secondary outcomes include reliability and acceptability of SMBG and change in the quality of life of the participants. ETHICS AND DISSEMINATION: This study has been approved by the Rwanda National Ethics Committee (Kigali, Rwanda No.102/RNEC/2018). We will disseminate the findings of this study through presentations within our study settings, scientific conferences and publication in a peer-reviewed journal. TRIAL REGISTRATION NUMBER: PACTR201905538846394; pre-results.

Active and adaptive case finding to estimate therapeutic program coverage for severe acute malnutrition: a capture-recapture study.

BACKGROUND: Coverage is an important indicator to assess both the performance and effectiveness of public health programs. Recommended methods for coverage estimation for the treatment of severe acute malnutrition (SAM) can involve active and adaptive case finding (AACF), an informant-driven sampling procedure, for the identification of cases. However, as this procedure can yield a non-representative sample, exhaustive or near exhaustive case identification is needed for valid coverage estimation with AACF. Important uncertainty remains as to whether an adequate level of exhaustivity for valid coverage estimation can be ensured by AACF. METHODS: We assessed the sensitivity of AACF and a census method using a capture-recapture design in northwestern Nigeria. Program coverage was estimated for each case finding procedure. RESULTS: The sensitivity of AACF was 69.5% (95% CI: 59.8, 79.2) and 91.9% (95% CI: 85.1, 98.8) with census case finding. Program coverage was estimated to be 40.3% (95% CI 28.6, 52.0) using AACF, compared to 34.9% (95% CI 24.7, 45.2) using the census. Depending on the distribution of coverage among missed cases, AACF sensitivity of at least ≥70% was generally required for coverage estimation to remain within ±10% of the census estimate. CONCLUSION: Given the impact incomplete case finding and low sensitivity can have on coverage estimation in potentially non-representative samples, adequate attention and resources should be committed to ensure exhaustive or near exhaustive case finding. TRIAL REGISTRATION: ClinicalTrials.gov ID NCT03140904. Registered on May 3, 2017.

Stuck in the middle: a systematic review of authorship in collaborative health research in Africa, 2014-2016.

BACKGROUND: Collaborations are often a cornerstone of global health research. Power dynamics can shape if and how local researchers are included in manuscripts. This article investigates how international collaborations affect the representation of local authors, overall and in first and last author positions, in African health research. METHODS: We extracted papers on 'health' in sub-Saharan Africa indexed in PubMed and published between 2014 and 2016. The author's affiliation was used to classify the individual as from the country of the paper's focus, from another African country, from Europe, from the USA/Canada or from another locale. Authors classified as from the USA/Canada were further subclassified if the author was from a top US university. In primary analyses, individuals with multiple affiliations were presumed to be from a high-income country if they contained any affiliation from a high-income country. In sensitivity analyses, these individuals were presumed to be from an African country if they contained any affiliation an African country. Differences in paper characteristics and representation of local coauthors are compared by collaborative type using χ² tests. RESULTS: Of the 7100 articles identified, 68.3% included collaborators from the USA, Canada, Europe and/or another African country. 54.0% of all 43 429 authors and 52.9% of 7100 first authors were from the country of the paper's focus. Representation dropped if any collaborators were from USA, Canada or Europe with the lowest representation for collaborators from top US universities-for these papers, 41.3% of all authors and 23.0% of first authors were from country of paper's focus. Local representation was highest with collaborators from another African country. 13.5% of all papers had no local coauthors. DISCUSSION: Individuals, institutions and funders from high-income countries should challenge persistent power differentials in global health research. South-South collaborations can help African researchers expand technical expertise while maintaining presence on the resulting research.

Health Facility Cost of Cesarean Delivery at a Rural District Hospital in Rwanda Using Time-Driven Activity-Based Costing.

Objective To determine the health facility cost of cesarean section at a rural district hospital in Rwanda. Methods Using time-driven activity-based costing, this study calculated capacity cost rates (cost per minute) for personnel, infrastructure and hospital indirect costs, and estimated the costs of medical consumables and medicines based on purchase prices, all for the pre-, intra- and post-operative periods. We estimated copay (10% of total cost) for women with community-based health insurance and conducted sensitivity analysis to estimate total cost range. Results The total cost of a cesarean delivery was US$339 including US$118 (35%) for intra-operative costs and US$221 (65%) for pre- and post-operative costs. Costs per category included US$46 (14%) for personnel, US$37 (11%) for infrastructure, US$109 (32%) for medicines, US$122 (36%) for medical consumables, and US$25 (7%) for hospital indirect costs. The estimated copay for women with community-based health insurance was US$34 and the total cost ranged from US$320 to US$380. Duration of hospital stay was the main marginal cost variable increasing overall cost by US$27 (8%). Conclusions for Practice The cost of cesarean delivery and the cost drivers (medicines and medical consumables) in our setting were similar to previous estimates in sub-Saharan Africa but higher than earlier average estimate in Rwanda. The estimated copay is potentially catastrophic for poor rural women. Investigation on the impact of true out of pocket costs on women's health outcomes, and strategies for reducing duration of hospital stay while maintaining high quality care are recommended.

Estimating program coverage in the treatment of severe acute malnutrition: a comparative analysis of the validity and operational feasibility of two methods.

BACKGROUND: Many health programs can assess coverage using standardized cluster survey methods, but estimating the coverage of nutrition programs presents a special challenge due to low disease prevalence. Used since 2012, the Semi-Quantitative Evaluation of Access and Coverage (SQUEAC) employs both qualitative and quantitative methods to identify key barriers to access and estimate coverage of therapeutic feeding programs. While the tool has been increasingly used in programs, the validity of certain methodological elements has been the subject of debate. METHODS: We conducted a study comparing a SQUEAC conjugate Bayesian analysis to a two-stage cluster survey estimating the coverage of a therapeutic feeding program in Niger in 2016. RESULTS: We found that the coverage estimate from the conjugate Bayesian analysis was sensitive to the prior estimation. With the exception of prior estimates produced by an external support team, all prior estimates resulted in a conflict with the likelihood result, excluding interpretation of the final coverage estimate. Allowing for increased uncertainty around the prior estimate did not materially affect conclusions. CONCLUSION: SQUEAC is a demanding analytical method requiring both qualitative and quantitative data collection and synthesis to identify program barriers and estimate coverage. If the necessary technical capacity is not available to objectively specify an accurate prior for a conjugate Bayesian analysis, alternatives, such as a two-stage cluster survey or a larger likelihood survey, may be considered to ensure valid coverage estimation. TRIAL REGISTRATION: NCT03280082 . Retrospectively registered on September 12, 2017.