The average per capita annual cost of a pilot community health worker (CHW) program in rural Nepal is US$3.05. n Personnel costs, the largest cost driver, contribute 74% of the total implementation costs and are affected by the number of households covered, population distribution, geographical terrain, and supervision structure.
Over the last decade, the Ministry of Health of Nepal and the non-profit Possible have partnered to deliver primary and secondary healthcare via a public-private partnership. We apply an accountable care framework we previously developed to describe the delivery of their integrated reproductive, maternal, newborn, and child health services in the Achham district in rural Nepal. In a prospective pre-post study (n=682 pregnancies at baseline and 541 pregnancies in follow-up over the course of 18 months), we find an improvement in population-level indicators linked to maternal and infant mortality reduction: the attendance of four antenatal care visits (83% to 90%); institutional birth rate (81% to 93%); and postpartum contraceptive prevalence (19% to 47%). The intervention cost $3.40 per capita and $185 total per pregnant woman. This study provides new analysis and evidence on the implementation of innovative care and financing models in limited-resource settings.
objective To assess economic and social drivers of dispensing antibiotics without prescription by community pharmacies in Nepal. method A survey was conducted among 111 pharmacy owners and managers in five districts. Information on demographic and economic characteristics of the pharmacies (e.g. revenue and profits from antibiotics) and their inclination to sell antibiotics without a physician's prescription under various scenarios (e.g. diarrhoea in a child) was collected. Univariate analysis was conducted to assess the demographic and economic characteristics. Bivariate analysis was conducted to examine the relationship between dispensing antibiotics without prescription and economic and social factors.results Azithromycin and amoxicillin were the most commonly dispensed antibiotics. The proportions of pharmacies reporting that they would 'most likely' or 'likely' dispense antibiotics without prescription to adult patients ranged from 36.9% (sore throat) to 67.6% (cough). The proportions for paediatric patients ranged from 62.2% (sore throat) to 80.2% (cough or diarrhoea). There was no consistent relationship between the likelihood of dispensing antibiotics and revenues, profits or the number of patients. Instead, dispensing behaviour was influenced by the pressure from the patient; the respondents were more likely to dispense antibiotics when the patient specifically asked for 'an antibiotic' rather than for 'a medicine', and 68.5% respondents ranked 'customer satisfaction' as the most important factor motivating their work.conclusions In Nepal, inappropriate sale of antibiotics by community pharmacists is high, particularly for paediatric patients. Additional research is needed to establish key drivers of this behaviour and to help design effective approaches to reducing AMR. keywords antibiotics, Nepal, economic factors, community pharmacies Sustainable Development Goals (SDGs): Good health and well-being, strengthen capacity to manage health risks
Background: Low-and middle-income countries are facing an increasing burden of disability and death due to cardiovascular diseases. Policy makers and healthcare providers alike need resource estimation tools to improve healthcare delivery and to strengthen healthcare systems to address this burden. We estimated the direct medical costs of primary prevention, screening, and management for cardiovascular diseases in a primary healthcare center in Nepal based on the Global Hearts evidence based treatment protocols for risk-based management. Methods: We adapted the World Health Organization's non-communicable disease costing tool and built a model to predict the annual cost of primary CVD prevention, screening, and management at a primary healthcare center level. We used a one-year time horizon and estimated the cost from the Nepal government's perspective. We used Nepal health insurance board's price for medicines and laboratory tests, and used Nepal government's salary for human resource cost. With the model, we estimated annual incremental cost per case, cost for the entire population, and cost per capita. We also estimated the amount of medicines for one-year, annual number of laboratory tests, and the monthly incremental work load of physicians and nurses who deliver these services. Results: For a primary healthcare center with a catchment population of 10,000, the estimated cost to screen and treat 50% of eligible patients is USD21.53 per case and averages USD1.86 per capita across the catchment population. The cost of screening and risk profiling only was estimated to be USD2.49 per case. At same coverage level, we estimated that an average physician's workload will increase annually by 190 h and by 111 h for nurses, i.e., additional 28.5 workdays for physicians and 16.7 workdays for nurses. The total annual cost could amount up to USD18,621 for such a primary healthcare center. Conclusion: This is a novel study for a PHC-based, primary CVD risk-based management program in Nepal, which can provide insights for programmatic and policy planners at the Nepalese municipal, provincial and central levels in implementing the WHO Global Hearts Initiative. The costing model can serve as a tool for financial resource planning for primary prevention, screening, and management for cardiovascular diseases in other low-and middleincome country settings globally.
Background: Strategic purchasing mechanisms, including national health insurance, provide opportunities to improve quality and progress towards universal health coverage. Nepal’s health insurance program (HIP), begun in 2016, is a national insurance platform aiming to improve financial risk protection, and efficiency, quality, and access to health services. HIP also further engages private-sector providers through strategic purchasing, potentially improving quality, regulation, and accountability. Bayalpata Hospital is a public-private partnership (PPP) hospital run jointly by the Ministry of Health and Population and Nyaya Health Nepal and is one of the first PPP hospitals enrolled in HIP. We evaluated Bayalpata Hospital costs and HIP guidelines to understand how HIP rates compare to health delivery costs incurred.Methods: We employed a top-down costing methodology to analyze costs for fiscal year 2017-2018. We compared costs to HIP reimbursement rates during the same period, and projected overall coverage for costs assuming full HIP enrollment given the compulsory nature of HIP.Results: Our data suggest HIP, as one payment mechanism in Nepal’s mixed provider payment system, would cover 57% of hospital costs with full enrollment, with variation across services. Among inpatient services, 64% of costs would be covered, including 105% reimbursement for fee-for-service, 87% reimbursement for bundled packages, but only 23% - 40% for certain surgical services. For outpatient services, 59% would be covered, and for emergency services, 32% would be covered. Conclusions: HIP is an important strategic purchasing foundation; however, payments may be insufficient to match provider costs and cover a larger percentage of inpatient-based and fee-for-service delivery than outpatient services. These dynamics may inappropriately incentivize fee-for-service health care utilization, in particular for private-sector providers without access to other public-sector payment mechanisms, while potentially disincentivizing outpatient or community-based approaches to health care, which are less well reimbursed through HIP. HIP policy revisions, and further expansion of mixed provider payment mechanisms, may more effectively incentivize primary health care approaches, while also deepening private-sector engagement. The data and experience of Bayalpata Hospital and HIP offer practical insights for Nepali policymakers and those in similar settings globally employing strategic purchasing to improve progress towards UHC and quality health delivery.
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