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Supply chain managers are forced to develop crisis-induced strategies due to the complexity of crises, as opposed to the more traditional strategies that prioritize competitive priorities. The increasing frequency and severity of recent crises, such as the coronavirus outbreaks, widespread product recalls, and financial crises, highlight the need for introspective and retrospective socio-economic insights on the contexts, priorities, and themes of supply chain management in times of crisis. This article's goal is to review the literature on supply chain management during times of crisis, organizing the relevant body of scholarly work in a systematic way, outlining current research methodologies, capturing strategic priorities and themes of complexity in research studies, and highlighting opportunities for additional research. Four factors for restorative priorities are identified by the review, which is based on a systematic analysis of 250 academic publications from 1996 to 2021 and reflects operations strategy in times of crisis: Critical supplies with important services, prompt action with restoration, safety with security, and traceability with transparency are just a few examples. The analysis also reveals that network configurations and business cycle complexity, optimal choices and provisioning system complexity, complicated learning processes and demand forecast are all sources of operational complexity during crises. The build-to-cycle, organic capabilities, and operational mindfulness framings for supply chain management in emergency situations are suggested with the use of review insights. The article ends with suggestions for future research on supply chain improvements, diagnosis, solidarity, mapping, temporariness, and thresholds, as well as optimal selection issues on connecting crisis network allocations with cross-functionalities and connecting crisis systems investments with liabilities.
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Introduction and objective: Diabetes, with its medical complications and societal consequences, is one the most difficult concerns for modern society. The purpose of this narrative review is to characterize the selected public health challenges and opportunities resulting from diabetes in Poland, as well as to identify public health measures that may be adopted to lower the diabetes burden in Poland. Review methods: This narrative review is based on the literature about diabetes in Poland. Scientific papers on diabetes published between 1 January 2010-31 January 2023, available in the PubMed database, were identified using a combination of the following key words: 'diabetes', 'Poland', 'public knowledge', 'management' and 'costs'. Particular attention was paid to the following diabetes-related issues: (1) current and forecast prevalence of diabetes in Poland, (2) diabetic care before and after the COVID-19 pandemic onset, (3) public knowledge of diabetes and diabetes risk factors, and (4) public health interventions to reduce the diabetes burden at the population level. Abbreviated description of the state of knowledge: A continuous growth of both the incidence and the prevalence of diabetes is predicted. Due to insufficient public awareness of diabetes risk factors and symptoms, and the health-debt caused by COVID-19 pandemic, a further rise in the number of diabetic complications is expected, as well as an increase in public spending on health care and social insurance systems. Summary: Public health interventions targeted at preventing diabetes and its complications should not be confined to reducing complications and improving diabetes care, but also include a wide range of initiatives aimed at addressing the fundamental causes of diabetes. Future study should look at the cost-effectiveness of such initiatives in order to mobilize different stakeholders and society.
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This research hypothesizes that greater availability of healthcare services, and greater choice in healthcare facilities results in better health when controlling for a variety of socio-economic factors within the Canadian context. This research will model access to healthcare services using density of general and specialist physicians relative to population size, and the geographic density of healthcare facilities. Choice in healthcare is modeled by the number of healthcare facilities in each health region, when normalized by the population in that health region. Various health outcomes will be used as benchmarks to test this hypothesis, including self-reported general health, self-reported mental health, influenza immunization rates, body mass index (BMI), and incidence of diabetes, cardiovascular disease and hypertension. From the empirical results, choice in the healthcare system does not have an impact on the selected health outcomes. Increased availability of healthcare generally improves health outcomes, but this is dependent on the health outcome in question, and the provincial region being analyzed. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.
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Objetivo El trabajo tiene como objetivo analizar la dinámica del comportamiento de la COVID-19 en el Perú, estimar y evaluar el impacto de la política pública de supresión (cuarentena). Métodos El modelo epidemiológico SIR y la estimación con el método de Mínimos Cuadrados Ordinarios (MCO). Resultados Se encontró que el número básico de propagación (Ro) cayó de 6,0 a 3,2 habiéndose reducido en 54% por efecto de la estrategia de supresión, y dos meses después cayó a 1,7. Sin embargo, sigue siendo alto y evidencia que aún continúa en expansión el nivel de infectados, con los efectos sociales y económicos adversos que esta medida implica. Conclusión La COVID-19 es una enfermedad que crece exponencialmente, por lo cual, la política de salud basada en la estrategia de supresión ha permitido aplanar la curva de contagio, evitando el colapso del Sistema de Salud. Objective The objective of the study is to analyze the behavior dynamics of COVID-19 in Peru, estimate and evaluate the impact of the suppression public policy (quarantine). Methods The SIR epidemiological model and the estimation with the ordinary Least Squares (OLS) method. Results It was found that the basic number of propagation (Ro) fell from 6,0 to 3,2 having been reduced by 54% due to the suppression strategy;and two months later it falls to 1,7. However, it remains high and evidence that the level of those infected continues to expand with its adverse social and economic effects. Conclusion COVID-19 is a disease that grows exponentially, and that the health policy based on the suppression strategy has allowed to flatten the contagion curve, thus avoiding the collapse of the Health System.
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This special issue contains 11 s that discuss recent learnings and developments in healthcare financing from a global perspective. The s cover a range of topics such as the impact of mental illness on poverty and catastrophic health expenditure in India, financing challenges in the American healthcare industry, comparative analysis of health system financing in India and Saudi Arabia, and the contribution of the Ghana National Health Insurance Scheme to inequality in healthcare utilisation. Other s explore the influence of socio-economic status on health financing choices in Jambi Province, households' willingness to pay for community-based health insurance in Bangladesh, and changes in household expenditures during the first wave of COVID-19 in India. The issue also includes discussions on managing the provider-purchaser split in India and reconsidering patient value to create better healthcare.
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The COVID-19 pandemic triggered a sense of vulnerability and urgency that led to concerted actions by governments, funders, regulators and industry to overcome traditional challenges for the development of vaccine candidates and to reach authorisation. Unprecedented financial investments, massive demand, accelerated clinical development and regulatory reviews were among the key factors that contributed to accelerating the development and approval of COVID-19 vaccines. The rapid development of COVID-19 vaccines benefited of previous scientific innovations such as mRNA and recombinant vectors and proteins. This has created a new era of vaccinology, with powerful platform technologies and a new model for vaccine development. These lessons learnt highlight the need of strong leadership, to bring together governments, global health organisations, manufacturers, scientists, private sector, civil society and philanthropy, to generate innovative, fair and equitable access mechanisms to COVID-19 vaccines for populations worldwide and to build a more efficient and effective vaccine ecosystem to prepare for other pandemics that may emerge. With a longer-term view, new vaccines must be developed with incentives to build expertise for manufacturing that can be leveraged for low/middle-income countries and other markets to ensure equity in innovation, access and delivery. The creation of vaccine manufacturing hubs with appropriate and sustained training, in particular in Africa, is certainly the way of the future to a new public health era to safeguard the health and economic security of the continent and guarantee vaccine security and access, with however the need for such capacity to be sustained in the interpandemic period.
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COVID-19 , Vaccines , Humans , COVID-19 Vaccines , Pandemics/prevention & control , COVID-19/prevention & control , EcosystemABSTRACT
OBJECTIVES: This study aims to describe how household economies and health service utilisation of pregnant and postpartum women were affected during the pandemic. DESIGN: A cross-sectional study. SETTING: This study was conducted in the Anuradhapura district, Sri Lanka. PARTICIPANTS: The study participants were 1460 pregnant and postpartum women recruited for the Rajarata Pregnancy Cohort during the initial stage of the COVID-19 pandemic. PRIMARY AND SECONDARY OUTCOME MEASURES: Household economic (income, poverty, nutritional and health expenditures) and health service utilisation details during the COVID-19 pandemic were gathered through telephone interviews. Sociodemographic and economic data were obtained from the cohort baseline and analysed with descriptive and non-parametric analysis. RESULTS: Out of the 1460 women in the sample, 55.3% (n=807) were pregnant and 44.7% (n=653) were postpartum women. Of the total sample, 1172 (80.3%) women participated in the economic component. The monthly household income (median (IQR)=212.39 (159.29-265.49)) reduced (median (IQR)=159.29 (106.20-212.39)) in 50.5% (n=592) families during the pandemic (Z=-8.555, p<0.001). Only 10.3% (n=61) of affected families had received financial assistance from the government, which was only 46.4% of the affected income. The nutritional expenditure of pregnant women was reduced (Z=-2.023, p=0.043) by 6.7%. During the pandemic, 103 (8.8%) families with pregnant or postpartum women were pushed into poverty, and families who were pushed into poverty did not receive any financial assistance. The majority of women (n=1096, 83.3%) were satisfied with the free public health services provided by the public health midwife during the pandemic. CONCLUSION: During the early stages of the pandemic, healthcare utilisation of pregnant women was minimally affected. Even before the country's current economic crisis, the household economies of pregnant women in rural Sri Lanka were severely affected, pushing families into poverty due to the pandemic. The impact of COVID-19 and the aftermath on pregnant women will have many consequences if the policies and strategies are not revised to address this issue.
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COVID-19 , Female , Humans , Pregnancy , Male , COVID-19/epidemiology , Cross-Sectional Studies , Pandemics , Sri Lanka/epidemiology , Pregnant Women , Health Services , Postpartum PeriodABSTRACT
Background: The COVID-19 pandemic has impacted the scope of health economics literature, which will increasingly examine value beyond health care interventions such as government policy and broad health system innovations. Aim: The study analyzes economic evaluations and methodologies evaluating government policies suppressing or mitigating transmission and reducing COVID-19, broad health system innovations, and models of care. This can facilitate future economic evaluations and assist government and public health policy decisions during pandemics. Methods: The Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) was used. Methodological quality was quantified using the scoring criteria in European Journal of Health Economics, Consolidated Health Economic Evaluation Reporting Standards (CHEERS) 2022 Checklist and the National Institute for Health and Care Excellence's (NICE) Cost Benefit Analysis Checklist. PUBMED, Medline, and Google Scholar were searched from 2020-2021. Results: Cost utility analysis (CUA) and cost benefit analysis (CBA) analyzing mortality, morbidity, quality adjusted life year (QALY) gained, national income loss, and value of production effectively evaluate government policies suppressing or mitigating COVID-19 transmission, disease, and impacting national income loss. The WHO's pandemic economic framework facilitates economic evaluations of social and movement restrictions. Social return on investment (SROI) links benefits to health and broader social improvements. Multi-criteria decision analysis (MCDA) can facilitate vaccine prioritization, equitable health access, and technology evaluation. Social welfare function (SWF) can account for social inequalities and population-wide policy impact. It is a generalization of CBA, and operationally, it is equal to an equity-weighted CBA. It can provide governments with a guideline for achieving the optimal distribution of income, which is vital during pandemics. Economic evaluations of broad health system innovations and care models addressing COVID-19 effectively use cost effectiveness analysis (CEA) that utilize decision trees and Monte Carlo models, and CUAs that effectively utilize decision trees and Markov models, respectively. Conclusion: These methodologies are very instructive for governments, in addition to their current use of CBA and the value of a statistical life analytical tool. CUA and CBA effectively evaluate government policies suppressing or mitigating COVID-19 transmission, disease, and impacts on national income loss. CEA and CUA effectively evaluate broad health system innovations and care models addressing COVID-19. The WHO's framework, SROI, MCDA, and SWF can also facilitate government decision-making during pandemics. Supplementary Information: The online version contains supplementary material available at 10.1007/s10389-023-01919-z.
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Background: During the pandemic of COVID-19, the function and performance of hospitals have been affected by various economic-financial and management aspects. The aim of the current study was to assess the process of therapeutic care delivery and also the economic-financial functions of the selected hospitals before and after COVID-19. Methods: This research is a descriptive-analytical study and a cross-sectional-comparative study in terms of time, and it was conducted in several selected teaching hospitals of Iran University of Medical Sciences. A purposeful and convenient sampling method was used. The data has been collected using the standard research tool (standard checklist of the Ministry of Health) in the two areas of financial-economic and healthcare performance (such as Data of financial and economic indicators such as direct and indirect costs, liquidity ratio and profitability index as well as key performance indicators of hospitals such as bed occupancy ratio (BOR; %), average length of stay (ALOS), bed turnover rate (BTR), bed turnover distance rate (BTIR) and hospital mortality rate (HMR), physician-to-bed ratio and nurse-to-bed ratio) of hospitals in two times before and after the outbreak of COVID-19 (time period 2018 to 2021). The data was collected from 2018 to 2021. Pearson/Spearman regression was used for the evaluation of the relationship between variables using SPSS 22. Results: This research showed the admission of COVID-19 patients caused a change in the indicators we evaluated. ALOS (-6.6%), BTIR (-40.7%), and discharge against medical advice (-7.0%) decreased from 2018 to 2021. BOR; % (+5.0%), occupy bed days (+6.6%), BTR (+27.5%, HMR (+50%), number of inpatients (+18.8%), number of discharges (+13.1%), number of surgeries (+27.4%), nurse-per-bed ratio (+35.9%), doctor-per-bed ratio (+31.0%) increased in the same period of time. The profitability index was correlated to all of the performance indicators except for the net death rate. Higher length of stay and turnover interval had a negative effect on the profitability index while higher bed turnover rate, bed occupancy ratio, bed day, number of inpatient admission, and number of surgery had a positive effect on the profitability index. Conclusion: It has been shown from the beginning of the COVID-19 pandemic, the performance indicators of the studied hospitals were negatively affected. As a consequence of the COVID-19 epidemic, many hospitals were not able to deal with the negative financial and medical outcomes of this crisis due to a significant decrease in income and a double increase in expenses.
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Background: The Covid-19 pandemic had a tremendous impact that caused significant morbidity, mortality, and financial stress for families. Our study aimed to determine the Out-of-pocket expenses and economic impact of a Covid-19 illness for households where patients were admitted to a private hospital in India. Methodology: This was a cost-of-illness study from a tertiary care academic institute where adult patients diagnosed with COVID-19 from May 2020 to June 2021 were included. Patients with an admission of less than one day or who had any form of insurance were excluded. The clinical and financial details were obtained from the hospital information system and a cross-sectional survey. This was stratified across three clinical severity levels and two epidemiological waves. Results: The final analysis included 4445 patients, with 73 % admitted in Wave 1 and 99 patients interviewed. For patients with severity levels 1, 2 and 3, the median admission days were 7, 8 and 13 days respectively. The total cost of illness (general category) was $934 (â¹69,010), $1507 (â¹111,403) and $3611 (â¹266,930) and the direct medical cost constituted 66%, 77% and 91% of the total cost for each level respectively. Factors associated with higher admission costs were higher age groups, male gender, oxygen use, ICU care, private admission, increased duration of hospital stay and Wave 2. The median annual household income was $3247 (â¹240,000) and 36% of families had to rely on more than one financial coping strategies, loans with interest being the commonest one. The lockdown period affected employment and reduced income for a considerable proportion of households. Conclusion: A Covid admission of higher severity was a significant financial burden on families. The study reaffirms the need for collaborative and sustainable health financing systems to protect populations from hardships.$-US Dollar; â¹- Indian Rupees.
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PurposeThe empirical analysis dealt in this paper emphasizes on the impact of military expenditures on out of pocket (OOP) healthcare payments. A sizeable body of defence economics literature has investigated the trade-off between military and public health expenditure, by testing the crowding-out or growth-stimulating hypothesis;does military expenditure scaling up crowd-out or promote governmental resources for social and welfare programs, including also state health financing?Design/methodology/approachIn this study, panel data from 2000 to 2018 for 129 countries is used to examine the impact of military expenditure on OOP healthcare payments. The dataset of countries is categorized into four income-groups based on World Bank's income-group classification. Dynamic panel data methodology is applied to meet study objectives.FindingsThe findings of this study indicate that military expenditure positively affects OOP payments in all the selected groups of countries, strongly supporting in this way the crowding-out hypothesis whereby increased military expenditure reduces the public financing on health. Study econometric results are robust since different and alternative changes in specifications and samples are applied in our analysis.Practical implicationsUnder the economic downturn backdrop for several economies in the previous decade and on the foreground of a potential limited governmental fiscal space related to the Covid-19 pandemic adverse economic effects, this study provides evidence that policy-makers have to adjust their government policy initiatives and prioritize Universal Health Coverage objectives. Consequently, the findings of this study reflect the necessity of governments as far as possible to moderate military expenditures and increase public financing on health in order to strengthen health care systems efficiency against households OOP spending for necessary healthcare utilization.Originality/valueDespite the fact that a sizeable body of defence economics literature has extensively examined the impact of military spending on total and public health expenditures, nevertheless to the best of our knowledge there is no empirical evidence of any direct effect of national defence spending on the main private financing component of health systems globally;the OOP healthcare payments.
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In the context of a developing country like Cameroon characterized by the scarcity of financial resources and the appearance of Covid-19, this article shows that this pandemic was not more important than the pre-existing health problems to the point of giving it more importance in funding compared to strengthening the health system. The theoretical elasticity model of the poverty rate to growth is used to estimate the impact of Covid-19 and the incidence of impoverishing health expenditure is used for the impact of common diseases. It is estimated through direct health payments that common diseases push about 340,865 people into extreme poverty annually. The Covid-19, through the loss of growth generated between 4.8 and 6.6 points according to the optimistic or pessimistic scenarios, would impoverish between 224,193 and 398,565 people: impact on the number of poor ranging from 0.7 to 1.2 times that of all common diseases, i.e., equivalent on average, but sensitive to the speed of spread of the virus and the duration of the crisis while the impact of common diseases is structural and linked to the poorly performing health system. The solutions proposed are endogenous and linked to the impact mechanisms.
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We report results from the first randomization of a regulatory reform in the health sector. The reform established minimum quality standards for patient safety, an issue that has become increasingly salient following the Ebola and COVID-19 epidemics. In our experiment, all 1348 health facilities in three Kenyan counties were classified into 273 markets, and the markets were then randomly allocated to treatment and control groups. Government inspectors visited health facilities and, depending on the results of their inspection, recommended closure or a timeline for improvements. The intervention increased compliance with patient safety measures in both public and private facilities (more so in the latter) and reallocated patients from private to public facilities without increasing out-of-pocket payments or decreasing facility use. In treated markets, improvements were equally marked throughout the quality distribution, consistent with a simple model of vertical differentiation in oligopolies. Our paper thus establishes the use of experimental techniques to study regulatory reforms and, in doing so, shows that minimum standards can improve quality across the board without adversely affecting utilization.
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OBJECTIVE: Spine awake surgery (SAS) aims to achieve faster recovery times, better outcomes, and a lesser economic impact on society. Our drive to establish SAS was to improve patient outcomes and health economics during the COVID-19 pandemic. After a systematic review and to the best of our knowledge, SAS, the Oxford Protocol, is the first protocolized pathway that aims to train bespoke teams performing SAS safely, efficiently, and in a standardized repeatable fashion. A pilot study was designed around newly derived protocols and simulated training to determine if SAS is a safe and implementable pathway to improve patient outcomes and health economics. METHODS: We assessed a cohort of 10 patients undergoing one-level lumbar discectomies and decompressions, analyzing the related costs, length of stay, complications, pain management, and patient satisfaction. RESULTS: The age range of our patients was 46-84 years. Three discectomies and 7 central canal stenosis decompressions were performed. Eight patients were discharged on the same day. All patients gave positive feedback about their experience of SAS. A significant cost saving was made compared to a general anesthesia (GA) overnight stay across the group. No on day cancellations occurred due to lack of bed availability. No patient needed analgesia in the recovery room or needed additional analgesia over and above the SAS e-prescription take home package. CONCLUSIONS: Our early experience and journey reinforce our drive to push forward and expand on this process. It aligns with the international literature which highlights this approach as safe, efficient, and economical.
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This book outlines essential elements of the evaluation of health surveillance within the One Health concept. It provides an introduction to basic theoretical notions of evaluation and vividly discusses related challenges. Expert authors cover the entire spectrum of available, innovative methods, from those for system process evaluations to methods for the economic evaluation of the surveillance strategies. Each chapter provides a detailed description of the methodology required and the tools available as illustrated by practical examples of animal health or One Health surveillance evaluations in both developed and developing countries. Targeting not only scientists, including epidemiologists, but also technical advisers of decision-makers, the present work is suitable for the evaluation of any type of health surveillance system - animal, human or combined - regardless of the socio-economic context. The volume is richly equipped with practical tools and examples, which enables the reader to apply the methods described. Increasing importance of health surveillance, and threats from disease outbreaks such as the coronavirus pandemic, underline the practical relevance of this work, which will fill an important gap in the literature. © Springer Nature Switzerland AG 2022. All rights reserved.
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Aim: Determine the clinical utility and economic differences over a 90-day period between robotic arm-assisted total hip arthroplasty (RATHA) and manual total hip arthroplasty (MTHA). Methods: Leveraging a nationwide commercial payer database, pre-covid THA procedures were identified. Following a 1:5 propensity score match, 1732 RATHA and 8660 MTHA patients were analyzed. Index costs, index lengths of-stay, and 90-day episode-of-care utilization and costs were evaluated. Results: Episode of care costs for RATHA was found to be $1573 lower compared with MTHA (p < 0.0001). Post-index hospital utilization was significantly less likely to occur for RATHA compared with MTHA. Total index costs were also significantly lower for RATHA versus MTHA (p < 0.0001). Conclusion: Index and post-index EOC hospital utilization and costs were lower for RATHA compared with MTHA.
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OBJECTIVES: To estimate capability wellbeing lost from the general adult populations in the UK, Australia and the Netherlands in the first year of the COVID-19 pandemic and the associated social restrictions, including lockdowns. DESIGN: Cross-sectional with recalled timepoints. SETTING: Online panels in the UK, Australia and the Netherlands conducted in February 2021 (data collected 26 January-2 March 2021). PARTICIPANTS: Representative general adult (≥ 18 years old) population samples in the UK (n = 1,017), Australia (n = 1,011) and the Netherlands (n = 1,017) MAIN OUTCOME MEASURE: Participants completed the ICECAP-A capability wellbeing measure in February 2021, and for two recalled timepoints during the initial lockdowns in April 2020 and in February 2020 (prior to COVID-19 restrictions in all three countries). ICECAP-A scores on a 0-1 no capability-full capability scale were calculated for each timepoint. Societal willingness to pay estimates for a year of full capability (YFC) was used to place a monetary value associated with change in capability per person and per country. Paired t tests were used to compare changes in ICECAP-A and YFC from pre- to post-COVID-19-related restrictions in each country. RESULTS: Mean (standard deviation) loss of capability wellbeing during the initial lockdown was 0.100 (0.17) in the UK, 0.074 (0.17) in Australia and 0.049 (0.12) in the Netherlands. In February 2021, losses compared to pre-lockdown were 0.043 (0.14) in the UK, 0.022 (0.13) in Australia and 0.006 (0.11) in the Netherlands. In monetary terms, these losses were equivalent to £14.8 billion, AUD$8.6 billion and 2.1 billion lost per month in April 2020 and £6.4 billion, A$2.6 billion and 260 million per month in February 2021 for the UK, Australia and the Netherlands, respectively. CONCLUSIONS: There were substantial losses in capability wellbeing in the first year of the COVID-19 pandemic. Future research is required to understand the specific impact of particular COVID-19 restrictions on people's capabilities.