Eight years into the horizon of aspirational maternal and newborn health pledges: a nationwide cross-sectional exploration of the Burundian EmONC network capacity and budget deficits.

OBJECTIVE: The Burundian emergency obstetric and neonatal care (EmONC) programme, which was initiated in 2017 and supported by a specific policy, does not appear to reverse maternal and newborn mortality trends. Our study examined the capacity challenges facing participating EmONC facilities and developed alternative investment proposals to improve their readiness paying particular attention to EmONC professionals, physical infrastructure, and capital equipment. DESIGN: Cross-sectional study. SETTING: Burundian EmONC facilities (n=112). PARTICIPANTS: We examined EmONC policy documents, consulted 12 maternal and newborn health experts and 23 stakeholders and policymakers, surveyed all EmONC facilities (n=112), and collected cost data from the Ministry of Health and local suppliers in Burundi. We developed three context-specific EmONC resource benchmark standards by facility type; the Burundian policy norms and the expert minimum and maximum suggested thresholds; and used these alternatives to estimate EmONC resource gaps. We forecasted three corresponding budget estimates needed to address prevailing deficits taking a government perspective for a 5-year EmONC investment strategy. Additionally, we explored relationships between EmONC professionals and selected measures of service delivery using bivariate analyses and graphically. RESULTS: The lowest EmONC resource benchmark revealed that 95% of basic EmONC and all comprehensive EmONC facilities lack corresponding sets of human resources and 90% of all facilities need additional physical infrastructure and capital equipment. Assessed against the highest benchmark which proposes the most progressive set of standards for the prevailing workloads, Burundi would require 162 more medical doctors, 1005 midwives and nurses, 132 delivery rooms, 191 delivery tables, 678 and 156 maternity and newborn care beds, and 395 incubators amounting to US$32.9 million additional budget for 5 years. CONCLUSION: We demonstrated that Burundian EmONC facilities face enormous capacity challenges equivalent to US$32.9 million funding gap for 5 years; averagely approximating to 5.96% total health budget increase annually.

Monetary valuation of one year in full capability and health based on demographics, health status, income and well-being.

BACKGROUND: Budget constraints in health-care systems have led to the popularity of Cost Effectiveness Thresholds (CET) to achieve efficient allocation of resources. The capability approach has been hailed for its potentially richer evaluative capabilities compared to the QALY in terms of thresholds. Extensive research, however, is still limited. RESEARCH DESIGN AND METHODS: This study estimated the monetary value of a year in full capability (YFC) and compared it to monetary value of a QALY for the Hungarian population. Data was collected from a large, cross sectional, representative online survey on the adult Hungarian population. Applying the wellbeing valuation method, health, capability, and income were then regressed against wellbeing to estimate 'shadow prices' for one QALY and YFC controlling for gender, age, employment, education, marital and social support. To examine 'core' regression coefficients, a robustness check was conducted. RESULTS: Health (VAS) and capability (ICECAP-A) had a positive and significant effect on Subjective Well-Being. The monetary values of one QALY and one YFC were 39 459 EUR and 58 148 EUR respectively. CONCLUSIONS: These tools provide a systematic approach to determining 'compensating income' for certain illnesses, disabilities and levels of pain. The capability approach shown to be broader than the QALY.

Health budget cuts will be paid for by the most vulnerable.

No abstract available.

Sparsified federated learning with differential privacy for intrusion detection in VANETs based on Fisher Information Matrix.

With the continuous development of vehicular ad hoc networks (VANET) security, using federated learning (FL) to deploy intrusion detection models in VANET has attracted considerable attention. Compared to conventional centralized learning, FL retains local training private data, thus protecting privacy. However, sensitive information about the training data can still be inferred from the shared model parameters in FL. Differential privacy (DP) is sophisticated technique to mitigate such attacks. A key challenge of implementing DP in FL is that non-selectively adding DP noise can adversely affect model accuracy, while having many perturbed parameters also increases privacy budget consumption and communication costs for detection models. To address this challenge, we propose FFIDS, a FL algorithm integrating model parameter pruning with differential privacy. It employs a parameter pruning technique based on the Fisher Information Matrix to reduce the privacy budget consumption per iteration while ensuring no accuracy loss. Specifically, FFIDS evaluates parameter importance and prunes unimportant parameters to generate compact sub-models, while recording the positions of parameters in each sub-model. This not only reduces model size to lower communication costs, but also maintains accuracy stability. DP noise is then added to the sub-models. By not perturbing unimportant parameters, more budget can be reserved to retain important parameters for more iterations. Finally, the server can promptly recover the sub-models using the parameter position information and complete aggregation. Extensive experiments on two public datasets and two F2MD simulation datasets have validated the utility and superior performance of the FFIDS algorithm.

Operational complexities in international clinical trials: a systematic review of challenges and proposed solutions.

OBJECTIVE: International trials can be challenging to operationalise due to incompatibilities between country-specific policies and infrastructures. The aim of this systematic review was to identify the operational complexities of conducting international trials and identify potential solutions for overcoming them. DESIGN: Systematic review. DATA SOURCES: Medline, Embase and Health Management Information Consortium were searched from 2006 to 30 January 2023. ELIGIBILITY CRITERIA: All studies reporting operational challenges (eg, site selection, trial management, intervention management, data management) of conducting international trials were included. DATA EXTRACTION AND SYNTHESIS: Search results were independently screened by at least two reviewers and data were extracted into a proforma. RESULTS: 38 studies (35 RCTs, 2 reports and 1 qualitative study) fulfilled the inclusion criteria. The median sample size was 1202 (IQR 332-4056) and median number of sites was 40 (IQR 13-78). 88.6% of studies had an academic sponsor and 80% were funded through government sources. Operational complexities were particularly reported during trial set-up due to lack of harmonisation in regulatory approvals and in relation to sponsorship structure, with associated budgetary impacts. Additional challenges included site selection, staff training, lengthy contract negotiations, site monitoring, communication, trial oversight, recruitment, data management, drug procurement and distribution, pharmacy involvement and biospecimen processing and transport. CONCLUSIONS: International collaborative trials are valuable in cases where recruitment may be difficult, diversifying participation and applicability. However, multiple operational and regulatory challenges are encountered when implementing a trial in multiple countries. Careful planning and communication between trials units and investigators, with an emphasis on establishing adequately resourced cross-border sponsorship structures and regulatory approvals, may help to overcome these barriers and realise the benefits of the approach. OPEN SCIENCE FRAMEWORK REGISTRATION NUMBER: osf-registrations-yvtjb-v1.

Guía metodológica para la estimación y la proyección de muy corto plazo del gasto en salud con base en las clasificaciones del SHA2011: Informe final

La oportunidad es un principio básico de la calidad de los datos de gasto que permite acceder a la información cuando se necesita. Elaborar un presupuesto anual y detectar necesidades de ajuste de una política en marcha o una desviación del gasto respecto de su uso esperado son ejemplos de los beneficios de utilizar los resultados de una cuenta de salud actual y oportuna. Implica, también, realizar cuentas de salud todos los años y presentar los resultados en un plazo breve. Si bien es cierto que la exactitud es también una condición de la calidad que puede hacer necesario esperar por resultados auditados o una búsqueda más exhaustiva de datos, cuando no se requiere de estadísticas históricas, la oportunidad cobra relevancia. En la actualidad se utilizan datos contemporáneos aun cuando estos se enriquezcan del análisis del pasado y de las tendencias. Este documento apoya la estimación temprana de gasto en las cuentas de salud para asegurar su oportunidad. En caso necesario, se puede compensar el rezago en informes que se utilizan para la generación de las cuentas con proyecciones de corto plazo. ¿Cuáles son las opciones contables para ello? ¿Cuáles procedimientos se recomiendan como usuales para asegurar que los resultados del estándar sean oportunos? Se espera que las cifras reales reemplacen a las proyecciones de corto plazo tan pronto como las fuentes de información estén accesibles; sin embargo, los resultados de las proyecciones ejemplificadas en este documento permiten asegurar que los valores “esperados” pueden contribuir a la toma de decisiones informada.

Seafloor primary production in a changing Arctic Ocean.

Phytoplankton and sea ice algae are traditionally considered to be the main primary producers in the Arctic Ocean. In this Perspective, we explore the importance of benthic primary producers (BPPs) encompassing microalgae, macroalgae, and seagrasses, which represent a poorly quantified source of Arctic marine primary production. Despite scarce observations, models predict that BPPs are widespread, colonizing ~3 million km2 of the extensive Arctic coastal and shelf seas. Using a synthesis of published data and a novel model, we estimate that BPPs currently contribute ~77 Tg C y-1 of primary production to the Arctic, equivalent to ~20 to 35% of annual phytoplankton production. Macroalgae contribute ~43 Tg C y-1, seagrasses contribute ~23 Tg C y-1, and microalgae-dominated shelf habitats contribute ~11 to 16 Tg C y-1. Since 2003, the Arctic seafloor area exposed to sunlight has increased by ~47,000 km2 y-1, expanding the realm of BPPs in a warming Arctic. Increased macrophyte abundance and productivity is expected along Arctic coastlines with continued ocean warming and sea ice loss. However, microalgal benthic primary production has increased in only a few shelf regions despite substantial sea ice loss over the past 20 y, as higher solar irradiance in the ice-free ocean is counterbalanced by reduced water transparency. This suggests complex impacts of climate change on Arctic light availability and marine primary production. Despite significant knowledge gaps on Arctic BPPs, their widespread presence and obvious contribution to coastal and shelf ecosystem production call for further investigation and for their inclusion in Arctic ecosystem models and carbon budgets.

Cybersecurity on a budget: Evaluating security and performance of open-source SIEM solutions for SMEs.

The proliferation of cyber threats necessitates robust security measures to safeguard critical assets and data in today's evolving digital landscape. Small and Medium Enterprises (SMEs), which are the backbone of the global economy are particularly vulnerable to these threats due to inadequate protection for critical and sensitive information, budgetary constraints, and lack of cybersecurity expertise and personnel. Security Information and Event Management (SIEM) systems have emerged as pivotal tools for monitoring, detecting, and responding to security incidents. While proprietary SIEM solutions have historically dominated the market, open-source SIEM systems have gained prominence for their accessibility and cost-effectiveness for SMEs. This article presents a comprehensive study focusing on the evaluation of open-source SIEM systems. The research investigates the capabilities of these open-source solutions in addressing modern security challenges and compliance with regulatory requirements. Performance aspects are explored through empirical testing in simulated enterprise-grade SME network environments to assess resource utilization, and real-time data processing capabilities. By providing a rigorous assessment of the security and performance features of open-source SIEM systems, this research offers valuable insights to cybersecurity practitioners, organizations seeking cost-effective security solutions, and the broader academic community. The findings shed light on the strengths and limitations of these systems, aiding decision-makers in selecting the most suitable SIEM solution for their specific requirements while enhancing the cybersecurity posture of SMEs.

Compact rover surveying and laser scanning for BIM development.

This paper presents a custom made small rover based surveying, mapping and building information modeling solution. Majority of the commercially available mobile surveying systems are larger in size which restricts their maneuverability in the targeted indoor vicinities. Furthermore their functional cost is unaffordable for low budget projects belonging to developing markets. Keeping in view these challenges, an economical indigenous rover based scanning and mapping system has developed using orthogonal integration of two low cost RPLidar A1 laser scanners. All the instrumentation of the rover has been interfaced with Robot Operating System (ROS) for online processing and recording of all sensorial data. The ROS based pose and map estimations of the rover have performed using Simultaneous Localization and Mapping (SLAM) technique. The perceived class 1 laser scans data belonging to distinct vicinities with variable reflective properties have been successfully tested and validated for required structural modeling. Systematically the recorded scans have been used in offline mode to generate the 3D point cloud map of the surveyed environment. Later the structural planes extraction from the point cloud data has been done using Random Sampling and Consensus (RANSAC) technique. Finally the 2D floor plan and 3D building model have been developed using point cloud processing in appropriate software. Multiple interiors of existing buildings and under construction indoor sites have been scanned, mapped and modelled as presented in this paper. In addition, the validation of the as-built models have been performed by comparing with the actual architecture design of the surveyed buildings. In comparison to available surveying solutions present in the local market, the developed system has been found faster, accurate and user friendly to produce more enhanced structural results with minute details.

Budget Process and Execution: A Case Study on the Underperformance of the Peruvian Health System, 2000-2021.

INTRODUCTION: Health system financing for emerging economies with aging populations and changing epidemiological profiles is an increasing challenge. Peru, as one of the countries with the highest economic growth in this century, provides a good example for analyzing the impact of the budgeting process and the budget execution on the performance of a health system. This article aims to answer how policies and processes are the root causes of the performance gap of the Peruvian health system. METHODS: We used a case study methodology composed of 17 semistructured interviews with senior national and regional actors conducted between the end of 2021 and the beginning of 2022. Participants were selected with a combination of purposive, convenience, and snowball sampling until reaching saturation at 14 interviews. Participants' answers were grouped according to the topics explored, enabling comparisons and identification of themes. RESULTS: The responses revealed that 4 interconnected influences affect the Peruvian health system. Political instability affects the sustainable development of health policies. The fiscal cycle limits the public health expenditure to a low 3% of the gross domestic product. The budget cycle is based on the low motivation of the Ministry of Health (MOH) to establish a proper budgeting process. The execution cycle represents the results of chronic underinvestment with a lack of professionals, equipment, and data affecting the access to care expressed by a high out-of-pocket share in health expenditure. CONCLUSION: To escape these cycles, the MOH needs to be able to argue in economic terms for the prioritization of health, showing the economic rationale for investment in health. Taxes need to finance the additional investment within the available fiscal space. The rigidity of the budget law needs to be adapted, and a technical budget that is oriented to the current and future health priorities needs to be elaborated.

Cost-effectiveness of the top 100 drugs by public spending in Canada, 2015-2021: a repeated cross-sectional study.

OBJECTIVES: To assess the distribution and spending by cost-effectiveness category among those drugs with the highest public spending levels in Canada. DESIGN: Repeated cross-sectional study. SETTING: The Canadian provinces of Manitoba, Ontario, New Brunswick, Nova Scotia, Prince Edward Island and Newfoundland. MAIN OUTCOMES AND MEASURES: Cost-effectiveness assessments by the Canadian Agency for Drugs and Technologies in Health (CADTH) for top-100 brand-name outpatient drugs by gross public plan spending in any year between 2015 and 2021 in Canada Institute for Health Information's National Prescription Drug Utilization Information System data. Gross public plan spending by cost-effectiveness category. RESULTS: From 2015 to 2021, 152 brand-name drugs occupied a top-100 rank and were included in the analysis. Of those, 117 had been assessed by CADTH. During the 7-year period, there was an increase in both top-100 drugs with cost-effective (from 18 to 24) and cost-ineffective (from 29 to 41) assessments, while drugs not assessed or with an unclear assessment declined (from 31 to 19 and from 22 to 16, respectively). As a share of spending on top-100 drugs with an assessment, spending on cost-effective drugs was mostly stable at 40%-46% from 2015 to 2021, while spending on cost-ineffective drugs increased from 30% to 45%. CONCLUSION: A large and growing share of public drug spending has been allocated to cost-ineffective drugs in Canada. Dedicating large budgets to such treatments prevents spending with greater health impact elsewhere in the healthcare system and could restrain the capacity to pay for groundbreaking pharmaceutical innovation in the future.

NIH's flat budget for 2024 will force 'very difficult decisions'.

Belated Senate and House compromise eliminates policy riders restricting certain studies.

Aligning opportunity cost and net benefit criteria: the health shadow price.

Given constrained healthcare budgets and many competing demands, public health decision-making requires comparing the expected cost and health outcomes of alternative strategies and associated adoption and financing actions. Opportunity cost (comparing outcomes from the best alternative use of budgets or actions in decision making) and more recently net benefit criteria (relative valuing of effects at a threshold value less costs) have been key concepts and metrics applied toward making such decisions. In an ideal world, opportunity cost and net benefit criteria should be mutually supportive and consistent. However, that requires a threshold value to align net benefit with opportunity cost assessment. This perspective piece shows that using the health shadow price as the ICER threshold aligns net benefit and opportunity cost criteria for joint adoption and financing actions that arise when reimbursing any new strategy or technology under a constrained budget. For an investment strategy with ICER at the health shadow price Bc = 1/(1/n + 1/d-1/m), net benefit of reimbursing (adopting and financing) that strategy given an incremental cost-effectiveness ration (ICER) of actual displacement, d, in financing, is shown to be equivalent to that of the best alternative actions, the most cost-effective expansion of existing programs (ICER = n) funded by the contraction of the least cost-effective programs (ICER = m). Net benefit is correspondingly positive or negative if it is below or above this threshold. Implications are discussed for creating pathways to optimal public health decision-making with appropriate incentives for efficient displacement as well as for adoption actions and related research.

Disentangling the impact of alternative payment models and associated service delivery models on quality of chronic care: A scoping review.

Payment reforms are frequently implemented alongside service delivery reforms, thus rendering it difficult to disentangle their impact. This scoping review aims to link alternative payment arrangements within their context of service delivery, to assess their impact on quality of chronic care, and to disentangle, where possible, the impact of payment reforms from changes to service delivery. A search of literature published between 2013 and 2022 resulted in 34 relevant articles across five types of payment models: capitation/global budget (n = 13), pay-for-coordination (n = 10), shared savings/shared risk (n = 6), blended capitation (n = 3), and bundled payments (n = 1). The certainty of evidence was generally low due to biases associated with voluntary participation in reforms. This scoping review finds that population-based payment reforms are better suited for collaborative, person-centred approaches of service delivery spanning settings and providers, but also highlights the need for a wider evidence base of studies disentangling the impact of financing from service delivery reforms. Limited evidence disentangling the two suggests that transforming service delivery to a team-based model of care alongside a purchasing reform shifting to blended capitation was more impactful in improving quality of chronic care, than the individual components of payment and service delivery. Further comparative studies employing causal inference methods, accounting for biases and quantifying aspects of service delivery, are needed to better disentangle the mechanisms impacting quality of care.

Optimal intertemporal curative drug expenses: The case of hepatitis C in France.

We study intertemporal tradeoffs that health authorities face when considering the control of an epidemic using innovative curative medical treatments. We set up a dynamically controlled susceptible-infected-recovered (SIR) model for an epidemic in which patients can be asymptomatic, and we analyze the optimality conditions of the sequence of cure expenses decided by health authorities at the onset of the drug innovation process. We show that analytical conclusions are ambiguous because of their dependence on parameter values. As an application, we focus on the case study of hepatitis C, the treatment for which underwent a major upheaval when curative drugs were introduced in 2014. We calibrate our controlled SIR model using French data and simulate optimal policies. We show that the optimal policy entails some front loading of the intertemporal budget. The analysis demonstrates how beneficial intertemporal budgeting can be compared to non-forward-looking constant budget allocation.