Costs of treating childhood malaria, diarrhoea and pneumonia in rural Mozambique and Uganda.

BACKGROUND: Globally, nearly half of all deaths among children under the age of 5 years can be attributed to malaria, diarrhoea, and pneumonia. A significant proportion of these deaths occur in sub-Saharan Africa. Despite several programmes implemented in sub-Saharan Africa, the burden of these illnesses remains persistently high. To mobilise resources for such programmes it is necessary to evaluate their costs, costs-effectiveness, and affordability. This study aimed to estimate the provider costs of treating malaria, diarrhoea, and pneumonia among children under the age of 5 years in routine settings at the health facility level in rural Uganda and Mozambique. METHODS: Service and cost data was collected from health facilities in midwestern Uganda and Inhambane province, Mozambique from private and public health facilities. Financial and economic costs of providing care for childhood illnesses were investigated from the provider perspective by combining a top-down and bottom-up approach to estimate unit costs and annual total costs for different types of visits for these illnesses. All costs were collected in Ugandan shillings and Mozambican meticais. Costs are presented in 2021 US dollars. RESULTS: In Uganda, the highest number of outpatient visits were for children with uncomplicated malaria and of inpatient admissions were for respiratory infections, including pneumonia. The highest unit cost for outpatient visits was for pneumonia (and other respiratory infections) and ranged from $0.5 to 2.3, while the highest unit cost for inpatient admissions was for malaria ($19.6). In Mozambique, the highest numbers of outpatient and inpatient admissions visits were for malaria. The highest unit costs were for malaria too, ranging from $2.5 to 4.2 for outpatient visits and $3.8 for inpatient admissions. The greatest contributors to costs in both countries were drugs and diagnostics, followed by staff. CONCLUSIONS: The findings highlighted the intensive resource use in the treatment of malaria and pneumonia for outpatient and inpatient cases, particularly at higher level health facilities. Timely treatment to prevent severe complications associated with these illnesses can also avoid high costs to health providers, and households. TRIAL REGISTRATION: ClinicalTrials.gov, identifier: NCT01972321.

Analysis of policy interventions to attract and retain nurse midwives in rural areas of Malawi: A discrete choice experiment.

BACKGROUND: Inadequate and unequal distribution of health workers are significant barriers to provision of health services in Malawi, and challenges retaining health workers in rural areas have limited scale-up initiatives. This study therefore aims to estimate cost-effectiveness of monetary and non-monetary strategies in attracting and retaining nurse midwife technicians (NMTs) to rural areas of Malawi. METHODS: The study uses a discrete choice experiment (DCE) methodology to investigate importance of job characteristics, probability of uptake, and intervention costs. Interviews and focus groups were conducted with NMTs and students to identify recruitment and retention motivating factors. Through policymaker consultations, qualitative findings were used to identify job attributes for the DCE questionnaire, administered to 472 respondents. A conditional logit regression model was developed to produce probability of choosing a job with different attributes and an uptake rate was calculated to estimate the percentage of health workers that would prefer jobs with specific intervention packages. Attributes were costed per health worker year. RESULTS: Qualitative results highlighted housing, facility quality, management, and workload as important factors in job selection. Respondents were 2.04 times as likely to choose a rural job if superior housing was provided compared to no housing (CI 1.71-2.44, p<0.01), and 1.70 times as likely to choose a rural job with advanced facility quality (CI 1.47-1.96, p<0.01). At base level 43.9% of respondents would choose a rural job. This increased to 61.5% if superior housing was provided, and 72.5% if all facility-level improvements were provided, compared to an urban job without these improvements. Facility-level interventions had the lowest cost per health worker year. CONCLUSIONS: Our results indicate housing and facility-level improvements have the greatest impact on rural job choice, while also creating longer-term improvements to health workers' living and working environments. These results provide practical evidence for policymakers to support development of workforce recruitment and retention strategies.

Factors associated with health facility deliveries among mothers living in hospital catchment areas in Rukungiri and Kanungu districts, Uganda.

BACKGROUND: Health facility deliveries are generally associated with improved maternal and child health outcomes. However, in Uganda, little is known about factors that influence use of health facilities for delivery especially in rural areas. In this study, we assessed the factors associated with health facility deliveries among mothers living within the catchment areas of major health facilities in Rukungiri and Kanungu districts, Uganda. METHODS: Cross-sectional data were collected from 894 randomly-sampled mothers within the catchment of two private hospitals in Rukungiri and Kanungu districts. Data were collected on the place of delivery for the most recent child, mothers' sociodemographic and economic characteristics, and health facility water, sanitation and hygiene (WASH) status. Modified Poisson regression was used to estimate prevalence ratios (PRs) for the determinants of health facility deliveries as well as factors associated with private versus public utilization of health facilities for childbirth. RESULTS: The majority of mothers (90.2%, 806/894) delivered in health facilities. Non-facility deliveries were attributed to faster progression of labour (77.3%, 68/88), lack of transport (31.8%, 28/88), and high cost of hospital delivery (12.5%, 11/88). Being a business-woman [APR = 1.06, 95% CI (1.01-1.11)] and belonging to the highest wealth quintile [APR = 1.09, 95% CI (1.02-1.17)] favoured facility delivery while a higher parity of 3-4 [APR = 0.93, 95% CI (0.88-0.99)] was inversely associated with health facility delivery as compared to parity of 1-2. Factors associated with delivery in a private facility compared to a public facility included availability of highly skilled health workers [APR = 1.15, 95% CI (1.05-1.26)], perceived higher quality of WASH services [APR = 1.11, 95% CI (1.04-1.17)], cost of the delivery [APR = 0.85, 95% CI (0.78-0.92)], and availability of caesarean services [APR = 1.13, 95% CI (1.08-1.19)]. CONCLUSION: Health facility delivery service utilization was high, and associated with engaging in business, belonging to wealthiest quintile and having higher parity. Factors associated with delivery in private facilities included health facility WASH status, cost of services, and availability of skilled workforce and caesarean services.

Urban or Rural GP? In the Czech Republic It Is not just Distances That Matter.

This article proposes a combined mixed methods approach to categorising GP practices. It looks not only at location but also at differences in the nature of the work that rural GPs perform. A data analysis was conducted of the largest health insurance company in the Czech Republic (5.9 million patients, 60% of the population, 100% coverage within the Czech Republic). We performed two data analyses, one for 2014-2015 and one for 2016, and divided GP practices into urban, intermediate, and rural groups (taking into account the OECD methodology). We compared groups in terms of the total annual cost in CZK per adult registered insurance holders. The total volume of data indicated the financial costs of €1.52 billion and €2.57 billion respectively. Both analysis showed differences between all groups of practises which confirmed the assumption that the work of the GP is influenced by regionality. A multidisciplinary hospital is the main factor that fundamentally affects the way a GP's work in that area. The proposed principle of categorising general practices combines geographical and cost characteristics. This requires knowledge of the cost data of healthcare payer and on the basic demographic knowledge of the area. We suggest this principe may be transferrable and particularly suitable for categorising general practice.

Why Interested Surgeons Are Not Choosing Rural Surgery: What Can We Do Now?

BACKGROUND: There is a growing deficit of rural surgeons, and preparation to meet this need is inadequate. More research into stratifying factors that specifically influence choice in rural versus urban practice is needed. METHODS: An institutional review board-approved survey related to factors influencing rural practice selection and increasing rural recruitment was distributed through the American College of Surgeons. The results were analyzed descriptively and thematically. RESULTS: Of 416 respondents (74% male), 287 (69%) had previous rural experience. Of those, 71 (25%) did not choose rural practice; lack of professional or hospital support (30%) and lifestyle (26%) were the primary reasons. A broad scope of practice was most important among surgeons (52%), who chose rural practice without any previous rural experience. Over 60% of urban practitioners agreed that improved lifestyle and financial advantages would attract them to rural practice. The thematic analysis suggested institutional support, affiliation with academic institutions, and less focus on subspecialty fellowship could help increase the number of rural surgeons. CONCLUSIONS: Many factors influence surgeons' decisions on practice location. Providing appropriate hospital support in rural areas and promoting specific aspects of rural practice, including broad scope of practice to those in training could help grow interest in rural surgery. Strong collaboration with academic institutions for teaching, learning, and mentoring opportunities for rural surgeons could also lead to higher satisfaction, security, and potentially higher retention rate. These results provide a foundation to help focus specific efforts and resources in the recruitment and retention of rural surgeons.

Influence of Geographic Access on Surgical Center Readmissions After Index Congenital Heart Surgery.

OBJECTIVE: To assess the impact of geographic access to surgical center on readmission risk and burden in children after congenital heart surgery. STUDY DESIGN: Children <6 years old at discharge after congenital heart surgery (Risk Adjustment for Congenital Heart Surgery-1 score 2-6) were identified using Pediatric Health Information System data (46 hospitals, 2004-2015). Residential distance from the surgery center, calculated using ZIP code centroids, was categorized as <15, 15-29, 30-59, 60-119, and ≥120 miles. Rurality was defined using rural-urban commuting area codes. Geographic risk factors for unplanned readmissions to the surgical center and associated burden (total hospital length of stay [LOS], costs, and complications) were analyzed using multivariable regression. RESULTS: Among 59 696 eligible children, 19 355 (32%) had ≥1 unplanned readmission. The median LOS was 9 days (IQR 22) across the entire cohort. In those readmitted, median total costs were $31 559 (IQR $90 176). Distance from the center was inversely related but rurality was positively related to readmission risk. Among those readmitted, increased distance was associated with longer LOS, more complications, and greater costs. Compared with urban patients, highly rural patients were more likely to have an unplanned readmission but had fewer average readmission days. CONCLUSIONS: Geographic measures of access differentially affect readmission to the surgery center. Increased distance from the center was associated with fewer unplanned readmissions but more complications. Among those readmitted, the most isolated patients had the greatest readmission costs. Understanding the contribution of geographic access will aid in developing strategies to improve care delivery to this population.

Technology-enabled remote management of diabetes foot disease and potential for reduction in associated health costs: a pilot study.

Diabetes-related foot disease, particularly when associated with amputation, affects quality of life and has a significant impact on health care costs. A pilot study using enhanced technology to facilitate remote access and video conferencing from rural locations to the diabetes MDT through a new service pathway confirmed high levels of patient satisfaction with 89% of foot ulcers improved or stable and only two minor amputations. A health economic analysis suggested potential for significant cost savings if this was scaled up regionally. Further evaluation of an integrated pathway, impact on lower limb amputation rates and full health economic assessment is recommended.

What Is the Quality of Surgical Care for Patients with Hip Fractures at Critical Access Hospitals?

BACKGROUND: Critical access hospitals (CAHs) play an important role in providing access to care for many patients in rural communities. Prior studies have shown that these facilities are able to provide timely and quality care for patients who undergo various elective and emergency general surgical procedures. However, little is known about the quality and reimbursement of surgical care for patients undergoing surgery for hip fractures at CAHs compared with non-CAH facilities. QUESTIONS/PURPOSES: Are there any differences in 90-day complications, readmissions, mortality, and Medicare payments between patients undergoing surgery for hip fractures at CAHs and those undergoing surgery at non-CAHs? METHODS: The 2005 to 2014 Medicare 100% Standard Analytical Files were queried using ICD-9 procedure codes to identify Medicare-eligible beneficiaries undergoing open reduction and internal fixation (79.15, 79.35, and 78.55), hemiarthroplasty (81.52), and THA (81.51) for isolated closed hip fractures. This database was selected because the claims capture inpatient diagnoses, procedures, charged amounts and paid claims, as well as hospital-level information of the care, of Medicare patients across the nation. Patients with concurrent fixation of an upper extremity, lower extremity, and/or polytrauma were excluded from the study to ensure an isolated cohort of hip fractures was captured. The study cohort was divided into two groups based on where the surgery took place: CAHs and non-CAHs. A 1:1 propensity score match, adjusting for baseline demographics (age, gender, Census Bureau-designated region, and Elixhauser comorbidity index), clinical characteristics (fixation type and time to surgery), and hospital characteristics (whether the hospital was located in a rural ZIP code, the average annual procedure volume of the operating facility, hospital bed size, hospital ownership and teaching status), was used to control for the presence of baseline differences in patients presenting at CAHs and those presenting at non-CAHs. A total of 1,467,482 patients with hip fractures were included, 29,058 of whom underwent surgery in a CAH. After propensity score matching, each cohort (CAH and non-CAH) contained 29,058 patients. Multivariate logistic regression analyses were used to assess for differences in 90-day complications, readmissions, and mortality between the two matched cohorts. As funding policies of CAHs are regulated by Medicare, an evaluation of costs-of-care (by using Medicare payments as a proxy) was conducted. Generalized linear regression modeling was used to assess the 90-day Medicare payments among patients undergoing surgery in a CAH, while controlling for differences in baseline demographics and clinical characteristics. RESULTS: Patients undergoing surgery for hip fractures were less likely to experience many serious complications at a critical access hospital (CAH) than at a non-CAH. In particular, after controlling for patient demographics, hospital-level factors and procedural characteristics, patients treated at a CAH were less likely to experience: myocardial infarction (3% (916 of 29,058) versus 4% (1126 of 29,058); OR 0.80 [95% CI 0.74 to 0.88]; p < 0.001), sepsis (3% (765 of 29,058) versus 4% (1084 of 29,058); OR 0.69 [95% CI 0.63 to 0.78]; p < 0.001), acute renal failure (6% (1605 of 29,058) versus 8% (2353 of 29,058); OR 0.65 [95% CI 0.61 to 0.69]; p < 0.001), and Clostridium difficile infections (1% (367 of 29,058) versus 2% (473 of 29,058); OR 0.77 [95% CI 0.67 to 0.88]; p < 0.001) than undergoing surgery in a non-CAH. CAHs also had lower rates of all-cause 90-day readmissions (18% (5133 of 29,058) versus 20% (5931 of 29,058); OR 0.83 [95% CI 0.79 to 0.86]; p < 0.001) and 90-day mortality (4% (1273 of 29,058) versus 5% (1437 of 29,058); OR 0.88 [95% CI 0.82 to 0.95]; p = 0.001) than non-CAHs. Further, CAHs also had risk-adjusted lower 90-day Medicare payments than non-CAHs (USD 800, standard error 89; p < 0.001). CONCLUSION: Patients who received hip fracture surgical care at CAHs had a lower risk of major medical and surgical complications than those who had surgery at non-CAHs, even though Medicare reimbursements were lower as well. Although there may be some degree of patient selection at CAHs, these facilities appear to provide high-value care to rural communities. These findings provide evidence for policymakers evaluating the impact of the CAH program and allocating funding resources, as well as for community members seeking emergent care at local CAH facilities. LEVEL OF EVIDENCE: Level III, therapeutic study.

Public health insurance and cancer-specific mortality risk among patients with breast cancer: A prospective cohort study in China.

Little is known about how health insurance policies, particularly in developing countries, influence breast cancer prognosis. Here, we examined the association between individual health insurance and breast cancer-specific mortality in China. We included 7436 women diagnosed with invasive breast cancer between 2009 and 2016, at West China Hospital, Sichuan University. The health insurance plan of patient was classified as either urban or rural schemes and was also categorized as reimbursement rate (ie, the covered/total charge) below or above the median. Breast cancer-specific mortality was the primary outcome. Using Cox proportional hazards models, we calculated hazard ratios (HRs) for cancer-specific mortality, contrasting rates among patients with a rural insurance scheme or low reimbursement rate to that of those with an urban insurance scheme or high reimbursement rate, respectively. During a median follow-up of 3.1 years, we identified 326 deaths due to breast cancer. Compared to patients covered by urban insurance schemes, patients covered by rural insurance schemes had a 29% increased cancer-specific mortality (95% CI 0%-65%) after adjusting for demographics, tumor characteristics and treatment modes. Reimbursement rate below the median was associated with a 42% increased rate of cancer-specific mortality (95% CI 11%-82%). Every 10% increase in the reimbursement rate is associated with a 7% (95% CI 2%-12%) reduction in cancer-specific mortality risk, particularly in patients covered by rural insurance schemes (26%, 95% CI 9%-39%). Our findings suggest that underinsured patients face a higher risk of breast cancer-specific mortality in developing countries.

Tele-ICUs for COVID-19: A Look at National Prevalence and Characteristics of Hospitals Providing Teleintensive Care.

PURPOSE: Amidst the COVID-19 outbreak, the use of intensive care unit telemedicine (tele-ICUs) may be one mechanism to provide patient care, particularly in rural parts of the United States. The purpose of this research was to inform hospital decision makers considering tele-ICUs, policy makers weighing immediate and longer-term funding and reimbursement decisions relative to tele-ICU care, and researchers conducting future work evaluating tele-ICUs. METHODS: We compared hospitals that reported providing teleintensive care to hospitals that reported not providing teleintensive care in the 2018 American Hospital Association Annual Survey (AHAAS). Differences between groups were tested using Pearson's chi-square (categorical variables) and t-tests (continuous variables) using 0.05 as the probability of Type 1 error. The study sample included all US short-term, acute care hospitals that responded to the AHAAS in 2018. Our key variable of interest was whether a hospital reported having any tele-ICU capabilities in the 2018 AHAAS. Other factors evaluated were ownership, region, beds, ICU beds, outpatient visits, emergency department visits, full-time employees, and whether a hospital was rural, a critical access hospital, a major teaching hospital, or part of a health system. FINDINGS: Larger, not-for-profit, nonrural, noncritical access, teaching hospitals that were part of a health system, particularly in the Midwest, were more likely to have tele-ICUs. Over one-third of hospital referral regions (HRRs) had zero hospitals with tele-ICUs, 4 had all hospitals with tele-ICU, and the median percent of hospitals with tele-ICU by HRR, weighted by outpatient visits, was 11.3%. CONCLUSIONS AND IMPLICATIONS: We found wide variation in the prevalence of tele-ICUs across HRRs and states. Future work should continue the evaluation of tele-ICU effectiveness and, if favorable, explore the variation we identified for improved access to teleintensive care.

Assessing clinical quality performance and staffing capacity differences between urban and rural Health Resources and Services Administration-funded health centers in the United States: A cross sectional study.

BACKGROUND: In the United States, there are nearly 1,400 Health Resources and Services Administration-funded health centers (HCs) serving low-income and underserved populations and more than 600 of these HCs are located in rural areas. Disparities in quality of medical care in urban vs. rural areas exist but data on such differences between urban and rural HCs is limited in the literature. We examined whether urban and rural HCs differed in their performance on clinical quality measures before and after controlling for patient, organizational, and contextual characteristics. METHODS AND FINDINGS: We used the 2017 Uniform Data System to examine performance on clinical quality measures between urban and rural HCs (n = 1,373). We used generalized linear regression models with the logit link function and binomial distribution, controlling for confounding factors. After adjusting for potential confounders, we found on par performance between urban and rural HCs in all but one clinical quality measure. Rural HCs had lower rates of linking patients newly diagnosed with HIV to care (74% [95% CI: 69%, 80%] vs. 83% [95% CI: 80%, 86%]). We identified control variables that systematically accounted for eliminating urban vs. rural differences in performance on clinical quality measures. We also found that both urban and rural HCs had some clinical quality performance measures that were lower than available national benchmarks. Main limitations included potential discrepancy of urban or rural designation across all HC sites within a HC organization. CONCLUSIONS: Findings highlight HCs' contributions in addressing rural disparities in quality of care and identify opportunities for improvement. Performance in both rural and urban HCs may be improved by supporting programs that increase the availability of providers, training, and provision of technical resources.

Rural Surgery and Status of the Rural Workplace: Hospital Survival and Economics.

Nearly 60 million people live in a rural area across the United States. Since 2005, 162 rural hospitals have closed, and the rate of rural hospital closures seems to be accelerating. Major drivers of rural hospital closures are poor financial health, aging facilities, and low occupancy rates. Rural hospitals are particularly vulnerable to policy and market changes, and even small changes can have a disproportionate effect on rural hospital financial viability. Surgery can be safely performed in rural hospitals; however, hospital closures may be putting the rural population at increased risk of morbidity and mortality from surgical disease.

Do health insurances reduce catastrophic health expenditure in China? A systematic evidence synthesis.

OBJECTIVE: To examine the association of health insurances on catastrophic health expenditure (CHE), and compares that among different health insurances in the last two decades in China. METHODS: The systematic review was conducted according to the Cochrane Handbook and reported according to PRISMA. We searched English and Chinese literature databases including PubMed, EM base, web of science, CNKI, Wan fang, VIP and CBM (Sino Med) for empirical studies on the association between health insurance and CHE from January 2000 to June 2020. Study selection, data extraction and quality appraisal were conducted by two reviewers. The secular trend of CHE rate and comparisons between population with different health insurances were conducted using meta-analysis, subgroup analysis and meta-regression. RESULTS: A total of 4874 citations were obtained, and finally 30 eligible studies with 633917 participants were included. The overall CHE rate was 13.6% (95% CI: 13.1% - 14.0%) from Jan 2000 to June 2020, 12.8% (95% CI: 12.2% - 13.3%) for people with health insurance compared with 16.2% (95% CI:15.4% - 16.9%) for people without health insurance. For types of insurance, the CHE rate was 13.0% (95% CI: 12.4% - 13.6%) for people with new rural cooperative medical scheme (NCMS), 11.9% (95% CI: 9.3% - 14.5%) for urban employees health insurance (UEBMI), 12.0% (95% CI: 8.3% - 15.6%) for urban residents health insurance (URBMI), and 18.0% (95% CI: - 4.5% - 31.5%) for commercial insurance. However, the CHE rate in China has increased in the past 20 years, even adjusted for other factors. The CHE rate of people with NCMS has increased significantly more than people with UEBMI and URBMI. CONCLUSION: In the past 20 years, the basic health insurance plan has reduce the rate of CHE to a certain extent, but due to the rapid increase in medical costs and the release of health needs in recent years, it masks the role of health insurance. More efforts are needed to control unreasonable medical demand and rising costs.

How does GP training impact rural and remote underserved communities? Exploring community and professional perceptions.

BACKGROUND: Substantial government funding has been invested to support the training of General Practitioners (GPs) in Australia to serve rural communities. However, there is little data on the impact of this expanded training on smaller communities, particularly for smaller rural and more remote communities. Improved understanding of the impact of training on underserved communities will assist in addressing this gap and inform ongoing investment by governments and communities. METHOD: A purposive sample of GP supervisors, GP registrars, practice managers and health services staff, and community members (n = 40) from previously identified areas of workforce need in rural and remote North-West Queensland were recruited for this qualitative study. Participants had lived in their communities for periods ranging from a few months to 63 years (Median = 12 years). Semi-structured interviews and a focus group were conducted to explore how establishing GP training placements impacts underserved communities from a health workforce, health outcomes, economic and social perspective. The data were then analysed using thematic analysis. RESULTS: Participants reported they perceived GP training to improve communities' health services and health status (accessibility, continuity of care, GP workforce, health status, quality of health care and sustainable health care), some social factors (community connectedness and relationships), cultural factors (values and identity), financial factors (economy and employment) and education (rural pathway). Further, benefits to the registrars (breadth of training, community-specific knowledge, quality of training, and relationships with the community) were reported that also contributed to community development. CONCLUSION: GP training and supervision is possible in smaller and more remote underserved communities and is perceived positively. Training GP registrars in smaller, more remote communities, matches their training more closely with the comprehensive primary care services needed by these communities.

Atrial Fibrillation Screen, Management, and Guideline-Recommended Therapy in the Rural Primary Care Setting: A Cross-Sectional Study and Cost-Effectiveness Analysis of eHealth Tools to Support All Stages of Screening.

BACKGROUND Internationally, most atrial fibrillation (AF) management guidelines recommend opportunistic screening for AF in people ≥65 years of age and oral anticoagulant treatment for those at high stroke risk (CHA2DS2-VA≥2). However, gaps remain in screening and treatment. METHODS AND RESULTS General practitioners/nurses at practices in rural Australia (n=8) screened eligible patients (≥65 years of age without AF) using a smartphone ECG during practice visits. eHealth tools included electronic prompts, guideline-based electronic decision support, and regular data reports. Clinical audit tools extracted de-identified data. Results were compared with an earlier study in metropolitan practices (n=8) and nonrandomized control practices (n=69). Cost-effectiveness analysis compared population-based screening with no screening and included screening, treatment, and hospitalization costs for stroke and serious bleeding events. Patients (n=3103, 34%) were screened (mean age, 75.1±6.8 years; 47% men) and 36 (1.2%) new AF cases were confirmed (mean age, 77.0 years; 64% men; mean CHA2DS2-VA, 3.2). Oral anticoagulant treatment rates for patients with CHA2DS2-VA≥2 were 82% (screen detected) versus 74% (preexisting AF)(P=NS), similar to metropolitan and nonrandomized control practices. The incremental cost-effectiveness ratio for population-based screening was AU$16 578 per quality-adjusted life year gained and AU$84 383 per stroke prevented compared with no screening. National implementation would prevent 147 strokes per year. Increasing the proportion screened to 75% would prevent 177 additional strokes per year. CONCLUSIONS An AF screening program in rural practices, supported by eHealth tools, screened 34% of eligible patients and was cost-effective. Oral anticoagulant treatment rates were relatively high at baseline, trending upward during the study. Increasing the proportion screened would prevent many more strokes with minimal incremental cost-effectiveness ratio change. eHealth tools, including data reports, may be a valuable addition to future programs. REGISTRATION URL: https://www.anzctr.org.au. Unique identifier: ACTRN12618000004268.

Assessing the costs and efficiency of HIV testing and treatment services in rural Malawi: implications for future "test and start" strategies.

BACKGROUND: Reaching the 90-90-90 targets requires efficient resource use to deliver HIV testing and treatment services. We investigated the costs and efficiency of HIV services in relation to HIV testing yield in rural Karonga District, Malawi. METHODS: Costs of HIV services were measured over 12 months to September 2017 in five health facilities, drawing on recognised health costing principles. Financial and economic costs were collected in Malawi Kwacha and United States Dollars (US$). Costs were calculated using a provider perspective to estimate average annual costs (2017 US$) per HIV testing episode, per HIV-positive case diagnosed, and per patient-year on antiretroviral therapy (ART), by facility. Costs were assessed in relation to scale of operation and facility-level annual HIV positivity rate. A one-way sensitivity analysis was undertaken to understand how staffing levels and the HIV positivity rate affected HIV testing costs. RESULTS: HIV testing episodes per day and per full-time equivalent HIV health worker averaged 3.3 (range 2.0 to 5.7). The HIV positivity rate averaged 2.4% (range 1.9 to 3.7%). The average cost per testing episode was US$2.85 (range US$1.95 to US$8.55), and the average cost per HIV diagnosis was US$116.35 (range US$77.42 to US$234.11), with the highest costs found in facilities with the lowest daily number of tests and lowest HIV yield respectively. The mean facility-level cost per patient-year on ART was approximately US$100 (range US$90.67 to US$115.42). ART drugs were the largest cost component averaging 71% (range 55 to 76%). The cost per patient-year of viral load tests averaged US$4.50 (range US$0.52 to US$7.00) with cost variation reflecting differences in the tests to ART patient ratio across facilities. CONCLUSION: Greater efficiencies in HIV service delivery are possible in Karonga through increasing daily testing episodes among existing health workers or allocating health workers to tasks in addition to testing. Costs per diagnosis will increase as yields decline, and therefore, encouraging targeted testing strategies that increase yield will be more efficient. Given the contribution of drug costs to per patient-year treatment costs, it is critical to preserve the life-span of first-line ART regimens, underlining the need for continuing adherence support and regular viral load monitoring.