The Bethesda ERCP Skills Assessment Tool (BESAT) can reliably differentiate endoscopists of different experience levels.

Background and study aims The Bethesda ERCP Skill Assessment Tool (BESAT) is a video-based assessment tool of technical endoscopic retrograde cholangiopancreatography (ERCP) skill with previously established validity evidence. We aimed to assess the discriminative validity of the BESAT in differentiating ERCP skill levels. Methods Twelve experienced ERCP practitioners from tertiary academic centers were asked to blindly rate 43 ERCP videos using the BESAT. ERCP videos consisted of native biliary cannulation and sphincterotomy and were recorded from 10 unique endoscopists of various ERCP experience (from advanced endoscopy fellow to > 10 years of ERCP experience). Inter-rater reliability, discriminative validity, and internal structure validity were subsequently assessed. Results The BESAT was found to reliably differentiate between endoscopists of varying levels of ERCP experience with experienced ERCPists scoring higher than novice ERCPists in 11 of 13 (85%) instrument items. Inter-rater reliability for BESAT items ranged from good to excellent (intraclass correlation range: 0.86 to 0.93). Internal structure validity was assessed with item-total correlations ranging from 0.53 to 0.83. Conclusions Study findings demonstrate that the BESAT, a video-based ERCP skill assessment tool, has high inter-rater reliability and has discriminative validity in differentiating novice from expert ERCP skill. Further investigations are needed to determine the role of video-based assessment in improving trainee learning curves and patient outcomes.

Hepatitis C Cascades: Data to Inform Hepatitis C Elimination in the United States.

The United States has a goal to eliminate hepatitis C as a public health threat by 2030. To accomplish this goal, hepatitis C virus (HCV) care cascades (hereinafter, HCV cascades) can be used to measure progress toward HCV elimination and identify disparities in HCV testing and care. In this topical review of HCV cascades, we describe common definitions of cascade steps, review the application of HCV cascades in health care and public health settings, and discuss the strengths and limitations of data sources used. We use examples from the Massachusetts Department of Public Health as a case study to illustrate how multiple data sources can be leveraged to produce HCV cascades for public health purposes. HCV cascades in health care settings provide actionable data to improve health care quality and delivery of services in a single health system. In public health settings at jurisdictional and national levels, HCV cascades describe HCV diagnosis and treatment for populations, which can be challenging in the absence of a single data source containing complete, comprehensive, and timely data representing all steps of a cascade. Use of multiple data sources and strategies to improve interoperability of health care and public health data systems can advance the use of HCV cascades and speed progress toward HCV elimination.

An Assessment of National Strategic Action Plans for Viral Hepatitis Elimination, 2016-2021.

In 2016, the World Health Organization (WHO) released the Global Health Sector Strategy (GHSS) setting goals for global hepatitis elimination. To inform new or revised viral hepatitis national strategic action plans (NSAPs) for 2022-2030, NSAPs developed during 2016-2021 were assessed for alignment with the WHO GHSS. Country NSAPs were assessed to determine if they included components in the 2016 GHSS. Of 55 country NSAPs, 19 (35%) did not include hepatitis B and C virus elimination goals, only 18 (33%) included targets for needles and syringes for persons who inject drugs, and 21 (38%) had a national budget or financing plan for hepatitis activities. Gaps identified indicate need for technical support in NSAP development.

Vital Signs: Hepatitis C Treatment Among Insured Adults - United States, 2019-2020.

INTRODUCTION: Over 2 million adults in the United States have hepatitis C virus (HCV) infection, and it contributes to approximately 14,000 deaths a year. Eight to 12 weeks of highly effective direct-acting antiviral (DAA) treatment, which can cure ≥95% of cases, is recommended for persons with hepatitis C. METHODS: Data from HealthVerity, an administrative claims and encounters database, were used to construct a cohort of adults aged 18-69 years with HCV infection diagnosed during January 30, 2019-October 31, 2020, who were continuously enrolled in insurance for ≥60 days before and ≥360 days after diagnosis (47,687). Multivariable logistic regression was used to assess the association between initiation of DAA treatment and sex, age, race, payor, and Medicaid restriction status; adjusted odds ratios (aORs) and 95% CIs were calculated. RESULTS: The prevalence of DAA treatment initiation within 360 days of the first positive HCV RNA test result among Medicaid, Medicare, and private insurance recipients was 23%, 28%, and 35%, respectively; among those treated, 75%, 77%, and 84%, respectively, initiated treatment within 180 days of diagnosis. Adjusted odds of treatment initiation were lower among those with Medicaid (aOR = 0.54; 95% CI = 0.51-0.57) and Medicare (aOR = 0.62; 95% CI = 0.56-0.68) than among those with private insurance. After adjusting for insurance type, treatment initiation was lowest among adults aged 18-29 and 30-39 years with Medicaid or private insurance, compared with those aged 50-59 years. Among Medicaid recipients, lower odds of treatment initiation were found among persons in states with Medicaid treatment restrictions (aOR = 0.77; 95% CI = 0.74-0.81) than among those in states without restrictions, and among persons whose race was coded as Black or African American (Black) (aOR = 0.93; 95% CI = 0.88-0.99) or other race (aOR = 0.73; 95% CI = 0.62-0.88) than those whose race was coded as White. CONCLUSIONS AND IMPLICATIONS FOR PUBLIC HEALTH PRACTICE: Few insured persons with diagnosed hepatitis C receive timely DAA treatment, and disparities in treatment exist. Unrestricted access to timely DAA treatment is critical to reducing viral hepatitis-related mortality, disparities, and transmission. Treatment saves lives, prevents transmission, and is cost saving.

Addressing the Impact of Noncommunicable Diseases and Injuries (NCDIs) in Ethiopia: Findings and Recommendations from the Ethiopia NCDI Commission.

BACKGROUND: Noncommunicable diseases and injuries (NCDIs) are the leading causes of premature mortality globally. Ethiopia is experiencing a rapid increase in NCDI burden. The Ethiopia NCDI Commission aimed to determine the burden of NCDIs, prioritize health sector interventions for NCDIs and estimate the cost and available fiscal-space for NCDI interventions. METHODS: We retrieved data on NCDI disease burden and concomitant risk factors from the Global Burden of Disease (GBD) Study, complemented by systematic review of published literature from Ethiopia. Cost-effective interventions were identified through a structured priority-setting process and costed using the One Health tool. We conducted fiscal-space analysis to identify an affordable package of NCDI services in Ethiopia. RESULTS: We find that there is a large and diverse NCDI disease burden and their risk factors such as hypertension and diabetes (these conditions are NCDIs themselves and could be risk factors to other NCDIs), including less common but more severe NCDIs such as rheumatic heart disease and cancers in women. Mental, neurological, chronic respiratory and surgical conditions also contribute to a substantial proportion of NCDI disease burden in Ethiopia. Among an initial list of 235 interventions, the commission recommended 90 top-priority NCDI interventions (including essential surgery) for implementation. The additional annual cost for scaling up of these interventions was estimated at US$550m (about US$4.7 per capita). CONCLUSIONS: A targeted investment in cost-effective interventions could result in substantial reduction in premature mortality and may be within the projected fiscal space of Ethiopia. Innovative financing mechanisms, multi-sectoral governance, regional implementation, and an integrated service delivery approach mainly using primary health care are required to achieve these goals.

Characteristics of Persons Treated for Hepatitis C Using National Pharmacy Claims Data, United States, 2014-2020.

Using national pharmacy claims data for 2014-2020, 843 329 persons were treated for hepatitis C at least once. The proportion treated increased annually among persons aged <40 years, insured by Medicaid, and treated by primary care providers. Monitoring hepatitis C treatment is essential to identify barriers to treatment access.

Prioritizing Health-Sector Interventions for Noncommunicable Diseases and Injuries in Low- and Lower-Middle Income Countries: National NCDI Poverty Commissions.

Health sector priorities and interventions to prevent and manage noncommunicable diseases and injuries (NCDIs) in low- and lower-middle-income countries (LLMICs) have primarily adopted elements of the World Health Organization Global Action Plan for NCDs 2013-2020. However, there have been limited efforts in LLMICs to prioritize among conditions and health-sector interventions for NCDIs based on local epidemiology and contextually relevant risk factors or that incorporate the equitable distribution of health outcomes. The Lancet Commission on Reframing Noncommunicable Diseases and Injuries for the Poorest Billion supported national NCDI Poverty Commissions to define local NCDI epidemiology, determine an expanded set of priority NCDI conditions, and recommend cost-effective, equitable health-sector interventions. Fifteen national commissions and 1 state-level commission were established from 2016-2019. Six commissions completed the prioritization exercise and selected an average of 25 NCDI conditions; 15 conditions were selected by all commissions, including asthma, breast cancer, cervical cancer, diabetes mellitus type 1 and 2, epilepsy, hypertensive heart disease, intracerebral hemorrhage, ischemic heart disease, ischemic stroke, major depressive disorder, motor vehicle road injuries, rheumatic heart disease, sickle cell disorders, and subarachnoid hemorrhage. The commissions prioritized an average of 35 health-sector interventions based on cost-effectiveness, financial risk protection, and equity-enhancing rankings. The prioritized interventions were estimated to cost an additional US$4.70-US$13.70 per capita or approximately 9.7%-35.6% of current total health expenditure (0.6%-4.0% of current gross domestic product). Semistructured surveys and qualitative interviews of commission representatives demonstrated positive outcomes in several thematic areas, including understanding NCDIs of poverty, informing national planning and implementation of NCDI health-sector interventions, and improving governance and coordination for NCDIs. Overall, national NCDI Poverty Commissions provided a platform for evidence-based, locally driven determination of priorities within NCDIs.

Burden of disease among the world's poorest billion people: An expert-informed secondary analysis of Global Burden of Disease estimates.

BACKGROUND: The health of populations living in extreme poverty has been a long-standing focus of global development efforts, and continues to be a priority during the Sustainable Development Goal era. However, there has not been a systematic attempt to quantify the magnitude and causes of the burden in this specific population for almost two decades. We estimated disease rates by cause for the world's poorest billion and compared these rates to those in high-income populations. METHODS: We defined the population in extreme poverty using a multidimensional poverty index. We used national-level disease burden estimates from the 2017 Global Burden of Disease Study and adjusted these to account for within-country variation in rates. To adjust for within-country variation, we looked to the relationship between rates of extreme poverty and disease rates across countries. In our main modeling approach, we used these relationships when there was consistency with expert opinion from a survey we conducted of disease experts regarding the associations between household poverty and the incidence and fatality of conditions. Otherwise, no within-country variation was assumed. We compared results across multiple approaches for estimating the burden in the poorest billion, including aggregating national-level burden from the countries with the highest poverty rates. We examined the composition of the estimated disease burden among the poorest billion and made comparisons with estimates for high-income countries. RESULTS: The composition of disease burden among the poorest billion, as measured by disability-adjusted life years (DALYs), was 65% communicable, maternal, neonatal, and nutritional (CMNN) diseases, 29% non-communicable diseases (NCDs), and 6% injuries. Age-standardized DALY rates from NCDs were 44% higher in the poorest billion (23,583 DALYs per 100,000) compared to high-income regions (16,344 DALYs per 100,000). Age-standardized DALY rates were 2,147% higher for CMNN conditions (32,334 DALYs per 100,000) and 86% higher for injuries (4,182 DALYs per 100,000) in the poorest billion, compared to high-income regions. CONCLUSION: The disease burden among the poorest people globally compared to that in high income countries is highly influenced by demographics as well as large disparities in burden from many conditions. The comparisons show that the largest disparities remain in communicable, maternal, neonatal, and nutritional diseases, though NCDs and injuries are an important part of the "unfinished agenda" of poor health among those living in extreme poverty.

Reframing Non-Communicable Diseases and Injuries for Equity in the Era of Universal Health Coverage: Findings and Recommendations from the Kenya NCDI Poverty Commission.

Background: Kenya has implemented a robust response to non-communicable diseases and injuries (NCDIs); however, key gaps in health services for NCDIs still exist in the attainment of Universal Health Coverage (UHC). The Kenya Non-Communicable Diseases and Injury (NCDI) Poverty Commission was established to estimate the burden of NCDIs, determine the availability and coverage of health services, prioritize an expanded set of NCDI conditions, and propose cost-effective and equity-promoting interventions to avert the health and economic consequences of NCDIs in Kenya. Methods: Burden of NCDIs in Kenya was determined using desk review of published literature, estimates from the Global Burden of Disease Study, and secondary analysis of local health surveillance data. Secondary analysis of nationally representative surveys was conducted to estimate current availability and coverage of services by socioeconomic status. The Commission then conducted a structured priority setting process to determine priority NCDI conditions and health sector interventions based on published evidence. Findings: There is a large and diverse burden of NCDIs in Kenya, with the majority of disability-adjusted life-years occurring before age of 40. The poorest wealth quintiles experience a substantially higher deaths rate from NCDIs, lower coverage of diagnosis and treatment for NCDIs, and lower availability of NCDI-related health services. The Commission prioritized 14 NCDIs and selected 34 accompanying interventions for recommendation to achieve UHC. These interventions were estimated to cost $11.76 USD per capita annually, which represents 15% of current total health expenditure. This investment could potentially avert 9,322 premature deaths per year by 2030. Conclusions and Recommendations: An expanded set of priority NCDI conditions and health sector interventions are required in Kenya to achieve UHC, particularly for disadvantaged socioeconomic groups. We provided recommendations for integration of services within existing health services platforms and financing mechanisms and coordination of whole-of-government approaches for the prevention and treatment of NCDIs.

Burden of non-communicable diseases from infectious causes in 2017: a modelling study.

BACKGROUND: Non-communicable diseases (NCDs) cause a large burden of disease globally. Some infectious diseases cause an increased risk of developing specific NCDs. Although the NCD burden from some infectious causes has been quantified, in this study, we aimed to more comprehensively quantify the global burden of NCDs from infectious causes. METHODS: In this modelling study, we identified NCDs with established infectious risk factors and infectious diseases with long-term non-communicable sequelae, and did narrative reviews between April 11, 2018, and June 10, 2020, to obtain relative risks (RRs) or population attributable fractions (PAFs) from studies quantifying the contribution of infectious causes to NCDs. To determine infection-attributable burden for the year 2017, we applied estimates of PAFs to estimates of disease burden from the Global Burden of Disease Study (GBD) 2017 for pairs of infectious causes and NCDs, or used estimates of attributable burden directly from GBD 2017. Morbidity and mortality burden from these conditions was summarised with age-standardised rates of disability-adjusted life-years (DALYs), for geographical regions as defined by the GBD. Estimates of NCD burden attributable to infectious causes were compared with attributable burden for the groups of risk factors with the highest PAFs from GBD 2017. FINDINGS: Globally, we quantified 130 million DALYs from NCDs attributable to infection, comprising 8·4% of all NCD DALYs. The infection-NCD pairs with the largest burden were gastric cancer due to H pylori (14·6 million DALYs), cirrhosis and other chronic liver diseases due to hepatitis B virus (12·2 million) and hepatitis C virus (10·4 million), liver cancer due to hepatitis B virus (9·4 million), rheumatic heart disease due to streptococcal infection (9·4 million), and cervical cancer due to HPV (8·0 million). Age-standardised rates of infection-attributable NCD burden were highest in Oceania (3564 DALYs per 100 000 of the population) and central sub-Saharan Africa (2988 DALYs per 100 000) followed by the other sub-Saharan African regions, and lowest in Australia and New Zealand (803 DALYs per 100 000) followed by other high-income regions. In sub-Saharan Africa, the proportion of crude NCD burden attributable to infectious causes was 11·7%, which was higher than the proportion of burden attributable to each of several common risk factors of NCDs (tobacco, alcohol use, high systolic blood pressure, dietary risks, high fasting plasma glucose, air pollution, and high LDL cholesterol). In other broad regions, infectious causes ranked between fifth and eighth in terms of crude attributable proportions among the nine risks compared. The age-standardised attributable proportion for infectious risks remained highest in sub-Saharan Africa of the broad regions, but age-standardisation caused infectious risks to fall below dietary risks, high systolic blood pressure, and fasting plasma glucose in ranked attributable proportions within the region. INTERPRETATION: Infectious conditions cause substantial NCD burden with clear regional variation, and estimates of this burden are likely to increase as evidence that can be used for quantification expands. To comprehensively avert NCD burden, particularly in low-income and middle-income countries, the availability, coverage, and quality of cost-effective interventions for key infectious conditions need to be strengthened. Efforts to promote universal health coverage must address infectious risks leading to NCDs, particularly in populations with high rates of these infectious conditions, to reduce existing regional disparities in rates of NCD burden. FUNDING: Leona M and Harry B Helmsley Charitable Trust.

Strategies for Optimizing the Supply of N95 Filtering Facepiece Respirators During the Coronavirus Disease 2019 (COVID-19) Pandemic.

N95 respirators are personal protective equipment most often used to control exposures to infections transmitted via the airborne route. Supplies of N95 respirators can become depleted during pandemics or when otherwise in high demand. In this paper, we offer strategies for optimizing supplies of N95 respirators in health care settings while maximizing the level of protection offered to health care personnel when there is limited supply in the United States during the 2019 coronavirus disease pandemic. The strategies are intended for use by professionals who manage respiratory protection programs, occupational health services, and infection prevention programs in health care facilities to protect health care personnel from job-related risks of exposure to infectious respiratory illnesses. Consultation with federal, state, and local public health officials is also important. We use the framework of surge capacity and the occupational health and safety hierarchy of controls approach to discuss specific engineering control, administrative control, and personal protective equipment measures that may help in optimizing N95 respirator supplies.

Community-Based Accompaniment and the Impact of Distance for HIV Patients Newly Initiated on Antiretroviral Therapy: Early Outcomes and Clinic Visit Adherence in Rural Rwanda.

Community-based accompaniment (CBA) has been associated with improved antiretroviral therapy (ART) patient outcomes in Rwanda. In contrast, distance has generally been associated with poor outcomes. However, impact of distance on outcomes under the CBA model is unknown. This retrospective cohort study included 537 adults initiated on ART in 2012 in two rural districts in Rwanda. The primary outcomes at 6 months after ART initiation included overall program status, missed a visit and missed three consecutive visits. The associations between cost surface distance (straight-line distance adjusted for surface features) and outcomes were assessed using logistic regression, controlling for potential confounders. Died/lost-to-follow-up and missed three consecutive visits were not associated with distance. Patients within 0-1 km cost surface distance were significantly more likely to miss a visit, potentially due to stigma of attending clinic within one's community. These results suggest that CBA may mediate the impact of long distances on outcomes.

Randomized Controlled Trial of Self-directed Versus In-Classroom Education of Narrow Band Imaging in Diagnosing Colorectal Polyps Using the NICE Criteria.

BACKGROUND: The optimal method for teaching NBI International Colorectal Endoscopic (NICE) criteria to medical trainees is unknown. METHODS: Trainees (medical students, residents, and gastroenterology fellows) were randomized to 2 groups (in-classroom vs. self-directed training). Teaching phase: A standardized presentation was developed about narrow band imaging (NBI) and NICE criteria. The in-class teaching group attended a single live-teaching session (with NBI expert). The self-directed training group was provided with the same educational tool with recorded audio. Testing phase: All participants provided their predicted histology and their level of confidence. After completing initial 10 clips, the in-class teaching group received live feedback (NBI expert), whereas the self-teaching group received automated audio feedback. All participants then reviewed the next 30 NBI videos. The diagnostic performance of NBI in predicting histology was compared between the 2 groups. RESULTS: Twenty medical trainees (8 students, 8 residents, and 4 gastroenterology fellows) participated in the study. The overall accuracy, sensitivity, specificity, and negative predictive value in using NBI to predict histology were: 79.0% [95% confidence interval (CI), 76.2-81.8], 69.5% (95% CI, 65.0-74.0), 88.5% (95% CI, 85.3-91.6), and 74.4% (95% CI, 70.4-78.3). There were no significant differences in the performance characteristics between the in-classroom and self-directed groups for all responses including those answered with high confidence. CONCLUSIONS: Using a standardized educational tool, the accuracy of distinguishing adenomatous versus hyperplastic colon polyps using NBI between the in-class teaching and self-directed learning were similar. This suggests that both training methods can be utilized for the education of medical trainees in the use of NICE criteria.

Exploring Drivers of Infant Deaths in Rural Rwanda Through Verbal Social Autopsy.

BACKGROUND: Rwanda has been a leader in the global effort to reduce infant mortality, particularly in regions of sub-Saharan Africa. Although rates have dropped, deaths still occur. OBJECTIVE: To explore the care pathways and barriers taken by infant caregivers before the death of their infant through a verbal social autopsy study in 2 districts in eastern Rwanda. METHODS: We adapted the World Health Organization verbal socialautopsy tools to reflect local context and priorities. Caregivers of infants in the 2 districts were interviewed using the adapted quantitative survey and semistructured interview guide. Interviews were recorded and thematic analysis employed on a subsample (n = 133) to extract the content relevant to understanding the drivers of infant death and inform results of the quantitative data until saturation was reached (66). Results were interpreted through a driver diagram framework to explore caregiver-reported challenges in knowledge and experiences with care access and delivery. FINDINGS: Most study participants (82%) reported accessing the formal health system at some point before the infant's death. The primary caregiver-reported drivers for infant death included challenges in accessing care in a timely manner, concerns about the technical quality of care received, and poor responsiveness of the system and providers. The 2 most commonly discussed drivers were gaps in communication between providers and patients and challenges obtaining and using the community-based health insurance. The framework of the driver diagram was modified to identify the factors where change was needed to further reduce mortality. CONCLUSION: This study provides important information on the experiential quality of care received by infants and their caregivers within the current health care space in rural Rwanda. By listening to the individual stories of so many caregivers regarding the gaps and challenges they faced, appropriate action may be taken to bolster the existing health care system.

Reframing noncommunicable diseases and injuries for the poorest Malawians: the Malawi National NCDI Poverty Commission.

Noncommunicable diseases and injuries (NCDIs) account for nearly 70% of deaths worldwide, with an estimated 75% of these deaths occurring in low- and middle-income countries. Globally, the burden of disease from noncommunicable diseases (NCDs) is most often caused by the "big 4," namely: diabetes, cardiovascular diseases, cancer, and chronic lung diseases. However, in Malawi, these 4 conditions account for only 29% of the NCDI disease burden. The Malawi National NCDI Poverty Commission was launched in November 2016 and will describe and evaluate the current NCDI situation in Malawi, with a focus on the poorest populations. The National Commission will investigate which NCDIs cause the biggest burden, which are more present in the young, and which interventions are available to avert death and disability from NCDIs in Malawi, particularly among the poorest segments of the population. The evidence gained through the work of this Commission will help inform research, policy, and programme interventions, all through an advocacy lens, as we strive to address the impact of NCDIs among all populations in Malawi.

Didactic training vs. computer-based self-learning in the prediction of diminutive colon polyp histology by trainees: a randomized controlled study.

Background and study aim Experts can accurately predict diminutive polyp histology, but the ideal method to train nonexperts is not known. The aim of the study was to compare accuracy in diminutive polyp histology characterization using narrow-band imaging (NBI) between participants undergoing classroom didactic training vs. computer-based self-learning. Participants and methods Trainees at two institutions were randomized to classroom didactic training or computer-based self-learning. In didactic training, experienced endoscopists reviewed a presentation on NBI patterns for adenomatous and hyperplastic polyps and 40 NBI videos, along with interactive discussion. The self-learning group reviewed the same presentation of 40 teaching videos independently, without interactive discussion. A total of 40 testing videos of diminutive polyps under NBI were then evaluated by both groups. Performance characteristics were calculated by comparing predicted and actual histology. Fisher's exact test was used and P < 0.05 was considered significant. Results A total of 17 trainees participated (8 didactic training and 9 self-learning). A larger proportion of polyps were diagnosed with high confidence in the classroom group (66.5 % vs. 50.8 %; P < 0.01), although sensitivity (86.9 % vs. 95.0 %) and accuracy (85.7 % vs. 93.9 %) of high-confidence predictions were higher in the self-learning group. However, there was no difference in overall accuracy of histology characterization (83.4 % vs. 87.2 %; P = 0.19). Similar results were noted when comparing sensitivity and specificity between the groups. Conclusion The self-learning group showed results on a par with or, for high-confidence predictions, even slightly superior to classroom didactic training for predicting diminutive polyp histology. This approach can help in widespread training and clinical implementation of real-time polyp histology characterization.

"Waiting for DAAs": A retrospective chart review of patients with untreated hepatitis C in Rwanda.

BACKGROUND: Access to treatment for hepatitis C virus (HCV) in sub-Saharan Africa is extremely limited. With the advent of direct acting antivirals (DAAs), highly effective and easy-to-deliver oral regimens are now available on the global market. This study was conducted to understand the background and characteristics of a national cohort of patients with HCV infection enrolled in care and awaiting therapy with DAAs. METHODS AND FINDINGS: We conducted a retrospective chart review of all adult patients with confirmed HCV infection who were currently enrolled in care and treatment at the four existing hepatitis referral centers in Rwanda. Patient charts at these centers were reviewed, and routinely collected data were recorded and analyzed. Overall, 253 patients were identified; median age was 56 years (IQR: 43, 65), and 149 (58.9%) were female. Median viral load was 688,736 IU/ml and 96.7% were HCV genotype 4. As classified by FIB-4 score, 64.8% of the patients had moderate to severe fibrosis. Fibrosis stage was associated with age (OR 1.12, CI 1.09-1.17), but not with time since diagnosis, gender, treatment center, or type of insurance. There was a low frequency of documented co-morbid conditions, including hypertension, diabetes, HIV, and hepatitis B virus. CONCLUSIONS: Compared to an estimated 55,000 patients eligible for HCV treatment in Rwanda, this study identified only 253 patients currently diagnosed and engaged in care, highlighting an immense treatment gap in HCV, likely due to the lack of accessible and affordable screening, diagnostic, and treatment modalities. The patients that were enrolled in care had a disproportionately advanced fibrosis stage, possibly indicating late presentation to care or lack of treatment options. In the context of newly available and effective treatment options, this study supports the overall need to accelerate access to HCV screening, diagnostics, and care and treatment services in resource-limited settings in sub-Saharan Africa.

Race to the Top: evaluation of a novel performance-based financing initiative to promote healthcare delivery in rural Rwanda.

BACKGROUND: Performance-based financing (PBF) has demonstrated a range of successes and failures in improving health outcomes across low- and middle-income countries. Evidence indicates that the success of PBF depends, in large part, on the model selected, in relation to a variety of contextual factors. OBJECTIVE: Partners In Health∣Inshuti Mu Buzima aimed to evaluate health outcomes associated with a novel capacity-building model of PBF at health centers throughout Kirehe district, Rwanda. DESIGN: Thirteen health centers in Kirehe district, which provide healthcare to a population of over 300,000 people, agreed to participate in a PBF initiative scheme that integrated data feedback, quality improvement coaching, peer-to-peer learning, and district-level priority setting. Health centers' progress toward collectively agreed upon site-specific health targets was assessed every 6 months for 18 months. Incentives were awarded only when health centers met goals on all three priorities health centers had collectively agreed upon: 90% coverage of community-based health insurance, 70% contraceptive prevalence rate, and zero acute severe malnutrition cases. Improvement across all four time points and facilities was measured using mixed-effects linear regression. FINDINGS: At 6-month follow-up, 4 of 13 health centers had met 1 target. At 12-month follow-up, 7 centers had met 1 target, and by 18-month follow-up, 6 centers had met 2 targets and 2 centers had met all 3. Average health center performance had improved significantly across the district for all three targets: mean insurance coverage increased from 68% at baseline to 93% (p<0.001); mean number of acute malnutrition cases in the previous 6 months declined from 24 to 5 per facility (p<0.001); and contraceptive prevalence increased from 42 to 59% (p<0.001). A number of innovative improvement initiatives were identified. CONCLUSION: The combining of PBF, district engagement/support, and peer-to-peer learning resulted in significant improvements despite resource constraints and is now being considered as a model for scale-up in other districts of Rwanda.