Strategic management and organizational culture of medical device companies in relation to corporate performance.

AIMS: Strategies focus on securing the competitiveness of medical device corporations by strengthening their organizational capabilities, which, in turn, ensure their continuous development. This study aims to investigate both management strategies and organizational culture, which may affect the performance of these companies, and analyzes the influence of education and training investment. MATERIALS AND METHODS: We used data from the 3rd to 6th Human Capital Corporate Panel surveys by the Korea Research Institute for Vocational Education and Training as well as data from the Korea Information Service and 6,112 workers and 260 companies were analyzed. For the analysis, management strategy and organizational culture were set as independent variables, and corporation performance was set as the dependent variable. Additionally, investment in education and training was set as a control variable between the independent and dependent variables. Corporate performance was analyzed by dividing into organizational satisfaction and organizational commitment. RESULTS: Differentiation strategy and innovative culture had a positive (+) effect on organizational satisfaction, while cost leadership strategy and hierarchical culture had a negative (-) effect. On the other hand, in the case of interaction with education and training investment, cost leadership strategy and hierarchical culture had a positive (+) effect, while differentiation strategy and innovation culture had a negative (-) effect. In organizational commitment, innovation culture had a positive (+) effect, and hierarchical culture had a negative (-) effect. In the case of interaction with investment in education and training, only the hierarchical culture had a positive (+) effect. CONCLUSIONS: The innovation culture positively influenced the performance of medical device companies. Furthermore, cost leadership strategy, hierarchical culture, education and training investment improved the corporate performance of these companies. To enhance corporate performance, these companies should create an innovation culture and invest in education and training in accordance with the organizational culture.

COVID-19 has proven the excellence of Korea's medical devices, and the medical device industry is expected to continue to grow due to the increase in chronic disease and non-face-to-face treatment. However, the current medical device industry is monopolized by global companies with capital and technological prowess. To overcome this, Korean medical device companies are developing innovative medical devices centered on start-ups, but now is the time to strategically respond to them in order to compete with global companies. In general, companies establish management strategies for survival and growth by analyzing threats and opportunities based on the market environment to maintain the optimal organization according to market competition, government policies, and changes in consumer needs. Strategies are often established based on the culture of the organizations that make up the company. When it comes to strategy establishment, the medical device industry has special characteristics compared to other industries. The medical device industry is based on advanced technology and puts patient safety first, requiring continuous product upgrades. Therefore, it is an essential industry for employees to invest in education and training. The analysis shows the effectiveness of investment in education and training according to the management strategy and organizational culture of medical device companies. It was confirmed that when medical device companies create an Innovation culture, their performance improves. It also shows that when medical device companies adopt a cost leadership strategy, they need to increase their investment in education and training to improve corporate performance.

Preferences and values for government policies on infectious disease outbreaks and epidemics for the Japanese population: a conjoint analysis.

AIMS: To investigate the preferences of the Japanese population for government policies expected to address infectious disease outbreaks and epidemics. METHODS: We performed a conjoint analysis based on survey data in December 2022 (registration number: UMIN000049665). The attributes for the conjoint analysis were policies: tests, vaccines, therapeutic drugs, behavior restrictions (e.g. self-restraint or restrictions on the gathering or travel of individuals and the hours of operation or serving of alcoholic beverages in food/beverage establishments), and entry restrictions (from abroad), and monetary attribute: an increase in the consumption tax from the current 10%, to estimate the monetary value of the policies. A logistic regression model was used for the analysis. RESULTS: Data were collected from 2,185 respondents. The accessibility of tests, vaccines, and therapeutic drugs was preferred regardless of the accessibility level. The value for accessibility of drugs to anyone at any medical facility was estimated at 4.80% of a consumption tax rate, equivalent to JPY 10.5 trillion, which was the highest among the policies evaluated in this study. The values for implementing behavior or entry restrictions were negative or lower than those for tests, vaccines, and drugs. LIMITATIONS: Respondents chosen from an online panel were not necessarily representative of the Japanese population. Because the study was conducted in December 2022, a period during the coronavirus disease 2019 (COVID-19) pandemic, the results may reflect the situation at that time and potentially be subject to rapid change. CONCLUSIONS: Among the policy options evaluated in this study, the most preferred option was easily accessible therapeutic drugs and their monetary value was substantial. Wider accessibility of tests, vaccines, and drugs was preferred over behavior and entry restrictions. We believe that the results provide information for policymaking to prepare for future infectious disease epidemics and for assessing the response to COVID-19 in Japan.

Current Prescribing Practices in Psoriatic Arthritis - Comparison between the Uk and Europe

Background/Aims Psoriatic arthritis (PsA) is a multi-system disease with a range of management options. Treatment may vary by geographic location. We compared disease characteristics and prescribing practices in the UK and Europe in the post-Covid era. Methods The ASSIST study was a cross-sectional observational study of PsA patients aged 18 years and older selected from 24 centres across 5 countries (UK, France, Germany, Italy and Spain) between July 2021 and March 2022 (IRAS: 287039). Patients attending a face-to-face appointment with a diagnosis of PsA made by a rheumatologist were selected by systematic sampling at each centre and treated in routine clinical practice. Patient and disease characteristics, current treatment and treatment decisions (medications unchanged, switched, added or reduced) were recorded. The analysis was descriptive, with no imputation of missing data. Results 503 patients were included, with arthritis subtype, patient age, disease activity and duration shown (Table 1). Physician- and patient-reported disease severity was highest in the UK, where median patient age was lowest. Conventional synthetic (cs) DMARDS constituted a higher percentage of current PsA treatment in UK than continental Europe (66.4% vs 44.9%), whereas biologic use was more frequent in Europe (68.1% vs 36.4%). Adalimumab was the most commonly used biologic in the UK and Spain. Adalimumab and secukinumab were equally used in Germany, and ixekizumab and adalimumab were joint-first in Italy. Implementing change to the current PsA treatment was most common in the UK, predominantly being a treatment increase. This may reflect the higher level of disease activity or younger patient age in the UK than other countries, as treatment escalation is more likely earlier in the disease course. In the UK, treatment escalation was more commonly achieved by medication addition (26.2%) than medication switch (14%) or dose increase (7.5%). In Europe, medication addition and switch were of more similar frequency (10.9% vs 9.85%). Conclusion Disease characteristics and treatment strategies varied between countries, but particularly between UK and the rest of Europe. In contrast to mainland Europe, csDMARDs predominated in the UK, perhaps reflecting current NICE guidelines. Treatment escalation was most common in the UK, in keeping with higher disease activity. (Table Presented).

Robinson Crusoe: less or more depressed? With whom and where to live in a pandemic if you are above 50.

Did the first wave of the COVID-19 epidemic and the various lockdown measures taken by European governments in the spring of 2020 impact individuals aged 50 and over differently according to their living arrangements and housing conditions? Focusing on three indicators of mental well-being, depression, loneliness and trouble sleeping, this paper answers the question using data on Europeans interviewed in the SHARE Corona Survey, fielded right after the first wave of the pandemic in summer 2020, linked longitudinally with two previous waves of SHARE (2013 and 2015). We find that the first wave of the pandemic changed the association between mental health and living arrangements and housing conditions. New to this pandemic period, the mental well-being of those who lived only with a spouse declined relative to the general population aged 50+. Relatedly, there was a protective impact for parents of having (adult) children in the same building as opposed to children, however close, who were not co-residing. Finally, living in cities and in multi-unit housing also led to a decrease in mental well-being relative to the general population aged 50+.

Burden of illness associated with overweight and obesity in patients hospitalized with COVID-19 in the United States: analysis of the premier healthcare database from April 1, 2020 to October 31, 2020.

BACKGROUND: SARS-CoV-2 (COVID-19) continues to be a major public health issue. Obesity is a major risk factor for disease severity and mortality associated with COVID-19. OBJECTIVE: This study sought to estimate the healthcare resource use and cost outcomes in patients hospitalized with COVID-19 in the United States (US) according to body mass index (BMI) class. METHODS: Retrospective cross-sectional study analyzing data from the Premier Healthcare COVID-19 database for hospital length-of-stay (LOS), intensive care unit (ICU) admission, ICU LOS, invasive mechanical ventilator use, invasive mechanical ventilator use duration, in-hospital mortality, and total hospital costs from hospital charge data. RESULTS: After adjustment for patient age, gender, and race, patients with COVID-19 and overweight or obesity had longer durations for mean hospital LOS (normal BMI = 7.4 days, class 3 obesity = 9.4 days, p < .0001) and ICU LOS (normal BMI = 6.1 days, class 3 obesity = 9.5 days, p < .0001) than patients with normal weight. Patients with normal BMI had fewer days on invasive mechanical ventilation compared to patients with overweight and obesity classes 1-3 (6.7 days vs. 7.8, 10.1, 11.5, and 12.4, respectively, p < .0001). The predicted probability of in-hospital mortality was nearly twice that of patients with class 3 obesity compared to patients with normal BMI (15.0 vs 8.1%, p < .0001). Mean (standard deviation) total hospital costs for a patient with class 3 obesity is estimated at $26,545 ($24,433-$28,839), 1.5 times greater than the mean for a patient with a normal BMI at $17,588 ($16,298-$18,981). CONCLUSIONS: Increasing levels of BMI class, from overweight to obesity class 3, are significantly associated with higher levels of healthcare resource utilization and costs in adult patients hospitalized with COVID-19 in the US. Effective treatment of overweight and obesity are needed to reduce the burden of illness associated with COVID-19.

The COVID-19 pandemic has caused many people to be seriously ill. People who are overweight are more likely to get sicker from COVID-19 infection and to require hospitalization.In our study, we compared patients who have normal weight to people who have overweight or obesity to understand how excess weight affects their experiences with COVID-19. We looked at: (1) how overweight and obesity is related to how long patients with COVID-19 stay in the hospital, (2) if they stayed in the intensive care unit (ICU) and how long they spent there, (3) whether they needed help breathing with the use of a ventilator and how long they needed a ventilator, (4) if they died during their hospital stay, and (5) how much their hospital stay cost.We found that people who have overweight or obesity stayed in the hospital longer, were more likely to need to stay in the ICU, and were in the ICU longer. They were also more likely to need help breathing with the use of a ventilator and needed that help for a longer time. People who have overweight or obesity died during their hospital stay more often than people with a normal BMI. The costs associated with people who have overweight or obesity were higher than people who have a normal BMI.Overall, this study shows that having overweight or obesity is a significant risk factor for poor outcomes from COVID-19 infection. Treatment for obesity and overweight is needed to help improve outcomes from future pandemics.

Public health impact and economic value of booster vaccination with Pfizer-BioNTech COVID-19 vaccine, bivalent (Original and Omicron BA.4/BA.5) in the United States.

OBJECTIVE: To assess the public health impact and economic value of booster vaccination with the Pfizer-BioNTech COVID-19 Vaccine, Bivalent in the United States. METHODS: A combined cohort Markov decision tree model estimated the cost-effectiveness and budget impact of booster vaccination compared to no booster vaccination in individuals aged ≥5 years. Analyses prospectively assessed three scenarios (base case, low, high) defined based upon the emergence (or not) of subvariants, using list prices. Age-stratified parameters were informed by literature. The cost-effectiveness analysis estimated cases, hospitalizations and deaths averted, Life Years (LYs) and Quality Adjusted Life Years (QALYs) gained, the incremental cost-effectiveness ratio (ICER), the net monetary benefit (NMB), and the Return on Investment (ROI). The budget impact analyses used the perspective of a hypothetical 1-million-member plan. Sensitivity analyses explored parameter uncertainty. Conservatively, indirect effects and broad societal benefits were not considered. RESULTS: The base case predicted that, compared to no booster vaccination, the Pfizer-BioNTech COVID-19 Vaccine, Bivalent could result in ∼3.7 million fewer symptomatic cases, 162 thousand fewer hospitalizations, 45 thousand fewer deaths, 373 thousand fewer discounted QALYs lost, and was cost-saving. Using a conservative value of $50,000 for 1 LY, every $1 invested yielded estimated $4.67 benefits. Unit costs, health outcomes and effectiveness had the greatest impact on results. At $50,000 per QALY gained, the booster generated a 34.2 billion NMB and probabilistic sensitivity analyses indicated a 92% chance of being cost-saving and 98% of being cost-effective. The bivalent was cost-saving or highly cost-effective in high and low scenarios. In a hypothetical 1-million-member health plan population, the vaccine was predicted to be a budget-efficient solution for payers. CONCLUSIONS: Booster vaccination with the Pfizer-BioNTech COVID-19 Vaccine, Bivalent for the US population aged ≥5 years could generate notable public health impact and be cost-saving based on the findings of our base case analyses.

Incidence and medical costs of chronic obstructive respiratory disease in Spanish hospitals: a retrospective database analysis.

OBJECTIVE: This study aimed to assess the comorbidity profile, use of health care resources and medical costs of patients with chronic obstructive pulmonary disease (COPD) treated at the hospital level in Spain. METHODS: Admission records of patients with COPD and at least two admissions registered between January 2016 and December 2020 were obtained from a Spanish hospital discharge database and analyzed in a retrospective multicenter study. RESULTS: 95,140 patients met the inclusion criteria; 69.1% were males with a median age of 75 years. Mean Charlson comorbidity index (CCI) was 1.9 in the index admission, increasing to 2.1 during the follow-up period. An acute exacerbation of COPD was registered in 93.6% of patients in the index admission; other secondary diagnoses included respiratory failure (56.8%), essential hypertension (36.9%), hypercholesterolemia (26.7%) and diabetes (26.3%). The age-adjusted incidence rate of COPD was 22.6 per 10,000 persons over the study period, decreasing significantly in the year 2020. Mortality rate was 4.1% for COPD patients, increasing to 6.6% in the year 2020. The year 2020, 191 patients registered a COVID-19 infection, with a mortality rate of 23.0%. Length of hospital stay, and intensive care unit (ICU) stay increased in the follow-up period versus the index admission, similar to admission costs. Mean admission cost was €3212 in the index admission, with cost increases being associated with age, length of stay, ICU stay and CCI. CONCLUSIONS: Patients' condition worsened significantly over the follow-up period, in terms of comorbidity and dependence on respirator, with an increased mortality rate and higher admission costs.

Precarity of Subsistence: Social Reproduction Among South African Nurses

The concept of precarity extends beyond insecure wage work into the conditions of social reproduction: supporting dependents can expose even securely employed, relatively well-paid workers to precarity. Qualitative data from public hospital nurses in Johannesburg reveal how responsibility for social reproduction can contribute to precarity among women in some contexts. This study maps nurses’ household networks to obtain a conservative estimate of dependency. Excerpts from interviews demonstrate how responsibilities are converted into precarity through household networks across different marital statuses, household structures, and ages.HIGHLIGHTS Securely employed, professional women may have precarious lives. Familial dependency can induce precarity among black women employed in nursing in South Africa. South African nurses were distressed prior to the COVID-19 pandemic. Gendered value systems and norms contribute to precarious subsistence. Universal basic income could mitigate micro-level crises of social reproduction. Securely employed, professional women may have precarious lives.Familial dependency can induce precarity among black women employed in nursing in South Africa.South African nurses were distressed prior to the COVID-19 pandemic.Gendered value systems and norms contribute to precarious subsistence.Universal basic income could mitigate micro-level crises of social reproduction. [ FROM AUTHOR]

IL4I1 binds to TMPRSS13 and competes with SARS-CoV-2 spike.

The secreted enzyme interleukin four-induced gene 1 (IL4I1) is involved in the negative control of the adaptive immune response. IL4I1 expression in human cancer is frequent and correlates with poor survival and resistance to immunotherapy. Nevertheless, its mechanism of action remains partially unknown. Here, we identified transmembrane serine protease 13 (TMPRSS13) as an immune cell-expressed surface protein that binds IL4I1. TMPRSS13 is a paralog of TMPRSS2, of which the protease activity participates in the cleavage of SARS-CoV-2 spike protein and facilitates virus induced-membrane fusion. We show that TMPRSS13 is expressed by human lymphocytes, monocytes and monocyte-derived macrophages, can cleave the spike protein and allow SARS-CoV-2 spike pseudotyped virus entry into cells. We identify regions of homology between IL4I1 and spike and demonstrate competition between the two proteins for TMPRSS13 binding. These findings may be relevant for both interfering with SARS-CoV-2 infection and limiting IL4I1-dependent immunosuppressive activity in cancer.

Public health impact of booster vaccination against COVID-19 in the UK during Delta variant dominance in autumn 2021.

AIM: To evaluate the public health impact of the UK COVID-19 booster vaccination program in autumn 2021, during a period of SARS-CoV-2 Delta variant predominance. MATERIALS AND METHODS: A compartmental Susceptible-Exposed-Infectious-Recovered model was used to compare age-stratified health outcomes for adult booster vaccination versus no booster vaccination in the UK over a time horizon of September-December 2021, when boosters were introduced in the UK and the SARS-CoV-2 Delta variant was predominant. Model input data were sourced from targeted literature reviews and publicly available data. Outcomes were predicted COVID-19 cases, hospitalizations, post-acute sequelae of COVID-19 (PASC) cases, deaths, and productivity losses averted, and predicted healthcare resources saved. Scenario analyses varied booster coverage, virus infectivity and severity, and time horizon parameters. RESULTS: Booster vaccination was estimated to have averted approximately 547,000 COVID-19 cases, 36,000 hospitalizations, 147,000 PASC cases, and 4,200 deaths in the UK between September and December 2021. It saved over 316,000 hospital bed-days and prevented the loss of approximately 16.5 million paid and unpaid patient work days. In a scenario of accelerated uptake, the booster rollout would have averted approximately 3,400 additional deaths and 25,500 additional hospitalizations versus the base case. A scenario analysis assuming four-fold greater virus infectivity and lower severity estimated that booster vaccination would have averted over 105,000 deaths and over 41,000 hospitalizations versus the base case. A scenario analysis assuming pediatric primary series vaccination prior to adult booster vaccination estimated that expanding vaccination to children aged ≥5 years would have averted approximately 51,000 additional hospitalizations and 5,400 additional deaths relative to adult booster vaccination only. LIMITATIONS: The model did not include the wider economic burden of COVID-19, hospital capacity constraints, booster implementation costs, or non-pharmaceutical interventions. CONCLUSIONS: Booster vaccination during Delta variant predominance reduced the health burden of SARS-CoV-2 in the UK, releasing substantial NHS capacity.

Social distancing and supply disruptions in a pandemic.

We integrate an epidemiological model, augmented with contact and mobility analyses, with a two-sector macroeconomic model, to assess the economic costs of labor supply disruptions in a pandemic. The model is designed to capture key characteristics of the U.S. input-output tables with a core sector that produces intermediate inputs not easily replaceable by the other sectors, possibly subject to minimum-scale requirements. Using epidemiological and mobility data to inform our exercises, we show that the reduction in labor services due to the observed social distancing (spontaneous and mandatory) could explain up to 6-8 percentage points of the roughly 12% U.S. GDP contraction in the second quarter of 2020. We show that public measures designed to protect workers in core industries and occupations with tasks that cannot be performed from home, can flatten the epidemiological curve at reduced economic costs-and contain vulnerabilities to supply disruptions, namely a new surge of infections. Using state-level data for the United States, we provide econometric evidence that spontaneous social distancing was no less costly than mandated social distancing.

Healthcare resource utilization and costs among patients with psoriasis treated with ixekizumab or adalimumab over 2 years of follow-up in real-world settings.

AIMS: To compare long-term healthcare resource utilization (HCRU) and costs among patients who initiated ixekizumab (IXE) or adalimumab (ADA) for treatment of psoriasis in the United States. METHODS: Adult patients with psoriasis who had ≥1 claim for IXE or ADA were identified from IBM MarketScan claims databases prior to the COVID-19 pandemic (1 March 2016-31 October 2019). The index date was the date of first claim for the index drug of interest. Inverse probability of treatment weighting was employed to balance treatment cohorts. All-cause and psoriasis-related HCRU and costs were examined for 24 months of follow-up. Costs were reported as per patient per month. Costs of psoriasis-related biologics were adjusted using published Institute for Clinical and Economic Review (ICER) discount factors. Index drug costs were adjusted for adherence and ICER discount rates. RESULTS: The analyses included 407 IXE and 2,702 ADA users. IXE users had significantly higher inpatient admission rate (all-cause HCRU: 14.9% vs. 11.0%; p =0.012) and greater mean length of stay per admission (days, 6.6 vs. 4.1; p =0.004) than ADA users. ICER-adjusted costs were significantly higher in IXE than ADA users (all-cause costs: $4,132 vs. $3,610; p <0.001; psoriasis-related costs $3,077 vs. $2,700; p <0.001). After adjusting for ICER and adherence, IXE and ADA drug costs were comparable ($3,636 vs. $3,677; p =0.714). LIMITATIONS: Study relied on administrative claims data, subjected to data coding limitations and data entry errors. Rebates, patient assistance programs, and commission to wholesalers are not always captured in claims. Adjustment made by ICER discount factors may lead to double-discounting if the discounts have been applied in claim payments. CONCLUSIONS: All-cause HCRU was higher in IXE than ADA users. Healthcare costs were also higher in IXE than ADA users after ICER adjustment, over 24 months. Cost differences were largely driven by higher treatment adherence associated with IXE. Index drug costs were comparable after ICER and adherence adjustments.

Public health impact of the Pfizer-BioNTech COVID-19 vaccine (BNT162b2) in the first year of rollout in the United States.

BACKGROUND: As the body of evidence on COVID-19 and post-vaccination outcomes continues to expand, this analysis sought to evaluate the public health impact of the Pfizer-BioNTech COVID-19 Vaccine, BNT162b2, during the first year of its rollout in the US. METHODS: A combined Markov decision tree model compared clinical and economic outcomes of the Pfizer-BioNTech COVID-19 Vaccine (BNT162b2) versus no vaccination in individuals aged ≥12 years. Age-stratified epidemiological, clinical, economic, and humanistic parameters were derived from existing data and published literature. Scenario analysis explored the impact of using lower and upper bounds of parameters on the results. The health benefits were estimated as the number of COVID-19 symptomatic cases, hospitalizations and deaths averted, and Quality Adjusted Life Years (QALYs) saved. The economic benefits were estimated as the amount of healthcare and societal cost savings associated with the vaccine-preventable health outcomes. RESULTS: It was estimated that, in 2021, the Pfizer-BioNTech COVID-19 Vaccine (BNT162b2) contributed to averting almost 9 million symptomatic cases, close to 700,000 hospitalizations, and over 110,000 deaths, resulting in an estimated $30.4 billion direct healthcare cost savings, $43.7 billion indirect cost savings related to productivity loss, as well as discounted gains of 1.1 million QALYs. Scenario analyses showed that these results were robust; the use of alternative plausible ranges of parameters did not change the interpretation of the findings. CONCLUSIONS: The Pfizer-BioNTech COVID-19 Vaccine (BNT162b2) contributed to generate substantial public health impact and vaccine-preventable cost savings in the first year of its rollout in the US. The vaccine was estimated to prevent millions of COVID-19 symptomatic cases and thousands of hospitalizations and deaths, and these averted outcomes translated into cost-savings in the billions of US dollars and thousands of QALYs saved. As only direct impacts of vaccination were considered, these estimates may be conservative.

Economic and clinical impact of a novel, light-based, at-home antiviral treatment on mild-to-moderate COVID-19.

OBJECTIVES: Antiviral treatments for early intervention in patients with mild-to-moderate COVID-19 are needed as a complement to vaccination. We sought to estimate the impact on COVID-19 cases, deaths, and direct healthcare costs over 12 months following introduction of a novel, antiviral treatment, RD-X19, a light-based, at-home intervention designed for the treatment of mild-to-moderate COVID-19 infection. METHODS: A time-dependent, state transition (semi-Markov) cohort model was developed to simulate infection progression in individuals with COVID-19 in 3 US states with varying levels of vaccine uptake (Alabama, North Carolina, and Massachusetts) and at the national level between 1 June 2020 and 31 May 2021. The hypothetical cohort of patients entering the model progressed through subsequent health states after infection. Costs were assigned to each health state. Number of infections/vaccinations per day were incorporated into the model. Simulations were run to estimate outcomes (cases by severity, deaths, and direct healthcare costs) at various levels of adoption of RD-X19 (5%, 10%, 25%) in eligible infected individuals at the state and national levels and across three levels of clinical benefit based on the results from an early feasibility study of RD-X19. The clinical benefit reflects a decline in the duration of symptomatic disease by 1.2, 2.4 (base case), and 3.6 days. RESULTS: In the base case analysis with 10% adoption, simulated infections/deaths/direct healthcare costs were reduced by 10,059/275/$69 million in Alabama, 21,092/545/$135 million in North Carolina, and 16,670/415/$102 million in Massachusetts over 12 months. At the national level, 10% adoption reduced total infections/deaths/direct healthcare costs by 686,722/17,748/$4.41 billion. CONCLUSION: At-home, antiviral treatment with RD-X19 or other interventions with similar efficacy that decrease both symptomatic days and transmission probabilities can be used in concert with vaccines to reduce COVID-19 cases, deaths, and direct healthcare costs.

Spanish Healthcare Sector Management in the COVID-19 Crisis Under the Perspective of Austrian Economics and New-Institutional Economics.

This is a study of Political Economy, Law & Economics, and Public Choice, applied to COVID-19 crisis management, and how the Spanish healthcare sector has operated under stressful conditions. Market and state failures are evaluated and some improvements are offered, according to the theories of Austrian Economics and New-Institutional Economics. At the macro level, the premise is the decentralization of the Spanish healthcare system a long time ago, to provide a better service to citizens, according to the idiosyncrasies of the Autonomous Communities (similar to federal states). The crisis has evidenced the failures of the Spanish system and its semi-federal model, without coordination to manage the trouble. Also, the General Government's recentralization attempt has failed too, proving Mises's theorem on the impossibility of economic calculation in intervened and coactive systems, with problems of shortages, lack of coordination, etc.; Buchanan-Tullock's theorem on the unfinished agenda of state interventionist and it suppression of private sector was also proven. At the micro level, health institutions (hospitals and health centers) have fallen into the paradox of media overexposure and the fake-news risk, because the more information they have tried to transmit, the more confusion they have caused, reducing the value of the supposed transparency and accountability, in addition to decreasing citizen wellbeing, giving way to a higher level of dissatisfaction and more risk of a syndemic. To perform the analysis of accountability and wellbeing perceived, this paper has used quantitative contrast techniques on secondary sources, such as the surveys of Centro de Investigaciones Sociológicas (part of the Public Sector) or Merco rankings (independent institution).

Piloting a New Compensation Model for Endocrinologists to Improve Diabetes Care

There is a consensus that fee-for-service reimbursement does too little to encourage the provision of high-value care. Our Enterprise, an integrated payer-provider based in Pittsburgh, created an alternative compensation model for endocrinologists. Our plan introduces a gradual shift in the role of endocrinologists from clinical duties to a more collaborative role with their primary care colleagues. Considering that most patients with diabetes are managed under primary care, this shift allows endocrinologists to support primary care physicians (PCPs) in managing patients with diabetes and other endocrine-related illnesses while decreasing the number of traditional in-office referrals to endocrinology. Despite the unexpected changes brought on by COVID, in first 9 months of the compensation model, we observed its impact on care delivery as well as the relationship between participating specialists and PCPs. Practice- and provider-level quality data has shown improvement in diabetes-specific quality metrics. In one year, 16 out of 54 target practices earned NCQA recognition for diabetes management. A total of 88% of participating PCPs reported a satisfaction score > 90% with the new plan. Ultimately, our model shows promise as a replacement for fee-for-service compensation, with a likelihood of lowering costs and improved quality of care.

How China controls the Covid-19 epidemic through public health expenditure and policy?

AIMS: How the Chinese government controls the Covid-19 epidemic? This paper aims to answer this question from the perspective of public health expenditure, and policy, and then to help the government to perform better in infectious disease prevention and public health emergency management. METHODS AND MATERIALS: We reviewed the development phases of the COVID-19 epidemic in China and divided it into four stages (incubation stage, outbreak stage, resolution stage, and stable stage). Then we adopted a content analysis method via MAXQDA2020, to analyze the combined application of four different types of policy tools in different stages with 571 texts of epidemic governance policy from the Chinese central government. We also calculated and compared the Chinese public health expenditure between epidemic and non-epidemic periods. Moreover, we also discussed implications for public health emergency management and for infectious disease prevention and control in China. RESULTS: (1) in the incubation stage, the potential epidemic has not attracted enough attention from the government; (2) the combination of the 4 types of policies is not only an important reason in controlling epidemic during the outbreak stage and resolution stage, but also the reason why the small-scale epidemic has not expanded in the stable stage; (3) the increasing Chinese public health expenditure, involving public health emergency treatment (114.81 billion yuan), government hospitals (284.84 billion yuan) and major public health service projects (45.33 billion yuan), is another critical reason for the rapid control of the epidemic. CONCLUSION AND IMPLICATIONS: Public health expenditure and policy played an important role in the governance and control of the COVID-19 epidemic in China. Some limitations of China's infectious disease prevention system and public health emergency management system have been exposed to the public in this epidemic, which the Chinese government needs to improve in the future.

COVID-19-associated hospitalizations among children less than 12 years of age in the United States.

OBJECTIVES: To describe the characteristics, healthcare resource use and costs associated with initial hospitalization and readmissions among pediatric patients with COVID-19 in the US. METHODS: Hospitalized pediatric patients, 0-11 years of age, with a primary or secondary discharge diagnosis code for COVID-19 (ICD-10 code U07.1) were selected from 1 April 2020 to 30 September 2021 in the US Premier Healthcare Database Special Release (PHD SR). Patient characteristics, hospital length of stay (LOS), in-hospital mortality, hospital costs, hospital charges, and COVID-19-associated readmission outcomes were evaluated and stratified by age groups (0-4, 5-11), four COVID-19 disease progression states based on intensive care unit (ICU) and invasive mechanical ventilation (IMV) usage, and three sequential calendar periods. Sensitivity analyses were performed using the US HealthVerity claims database and restricting the analyses to the primary discharge code. RESULTS: Among 4,573 hospitalized pediatric patients aged 0-11 years, 68.0% were 0-4 years and 32.0% were 5-11 years, with a mean (median) age of 3.2 (1) years; 56.0% were male, and 67.2% were covered by Medicaid. Among the overall study population, 25.7% had immunocompromised condition(s), 23.1% were admitted to the ICU and 7.3% received IMV. The mean (median) hospital LOS was 4.3 (2) days, hospital costs and charges were $14,760 ($6,164) and $58,418 ($21,622), respectively; in-hospital mortality was 0.5%. LOS, costs, charges, and in-hospital mortality increased with ICU admission and/or IMV usage. In total, 2.1% had a COVID-19-associated readmission. Study outcomes appeared relatively more frequent and/or higher among those 5-11 than those 0-4. Results using the HealthVerity data source were generally consistent with main analyses. LIMITATIONS: This retrospective administrative database analysis relied on coding accuracy and inpatient admissions with validated hospital costs. CONCLUSIONS: These findings underscore that children aged 0-11 years can experience severe COVID-19 illness requiring hospitalization and substantial hospital resource use, further supporting recommendations for COVID-19 vaccination.

Real-world retrospective analysis of patient characteristics, healthcare resource utilization, costs, and treatment patterns among unvaccinated adults with COVID-19 diagnosed in outpatient settings in the United States.

AIMS: This retrospective analysis of the Optum Clinformatics Data Mart database evaluated US patient characteristics, healthcare resource utilization (HCRU), costs, and treatment patterns among unvaccinated adults with outpatient-diagnosed COVID-19 to quantify US economic burden. MATERIALS AND METHODS: The index event was the earliest outpatient diagnosis of confirmed COVID-19 from May 1 to December 10, 2020. Patients had 12 months' continuous enrollment before and were followed for ≥60 days after index date until insurance dis-enrollment or study end. RESULTS: 236,589 patients had outpatient-diagnosed COVID-19 (7,692 with and 228,897 without subsequent COVID-19-related inpatient admission >48 h post-diagnosis). The median age was 51 years (≥65 years, 30.0%); 72.4% had ≥1 risk factor. Patients with versus without subsequent inpatient admission were more often male, older, Black/Hispanic, and had comorbidities/risk factors. With a median follow-up of 162 days, patients had a median of 1 COVID-19-related outpatient visit (with inpatient admission, 5 outpatient visits). Those with inpatient admission had a median of 1 COVID-19-related inpatient visit (median length of stay [LOS], 6 days), 33.3% were admitted to intensive care (median LOS, 8 days), 8.4%, 7.1%, and 13.3% received invasive mechanical ventilation, noninvasive mechanical ventilation, and supplemental oxygen, respectively; 13.5% experienced readmission. Inpatient mortality was 6.0% (0.3% for nonhospitalized patients). Antithrombotic therapy, antibiotics, corticosteroids, and remdesivir use increased among patients with inpatient admission versus without. Median total COVID-19-related non-zero medical costs were $208 for patients without inpatient admission (with inpatient admission, $39,187). LIMITATIONS: Results reflect the circulating SARS-CoV-2 and treatment landscape during the study period. Requirements for continuous enrollment could have biased the population. Cost measurements may have included allowed (typically higher) and charge amounts. CONCLUSIONS: Given the numbers of the US population who are still not fully vaccinated and the evolving epidemiology of the pandemic, this study provides relevant insights on real-world treatment patterns, HCRU, and the cost burden of outpatient-diagnosed COVID-19.

Clinical and economic benefits of lenzilumab plus standard of care compared with standard of care alone for the treatment of hospitalized patients with COVID-19 in the United States from the hospital perspective.

AIMS: Estimate the clinical and economic benefits of lenzilumab plus standard of care (SOC) compared with SOC alone in the treatment of patients hospitalized with COVID-19 pneumonia from the United States (US) hospital perspective. MATERIALS AND METHODS: A per-patient cost calculator was developed to report the clinical and economic benefits associated with adding lenzilumab to SOC in newly hospitalized COVID-19 patients over 28 days. Clinical inputs were based on the LIVE-AIR trial, including failure to achieve survival without ventilation (SWOV), mortality, time to recovery, intensive care unit (ICU) admission, and invasive mechanical ventilation (IMV) use. Base case costs included the anticipated list price of lenzilumab, drug administration, and hospital resource costs based on the level of care required. A scenario analysis examined projected one-year rehospitalization costs. RESULTS: In the base case and all scenarios, lenzilumab plus SOC improved all specified clinical outcomes relative to SOC alone. Lenzilumab plus SOC resulted in estimated cost savings of $3,190 per patient in a population aged <85 years with C-reactive protein (CRP) levels <150 mg/L and receiving remdesivir (base case). Per-patient cost savings were observed in the following scenarios: (1) aged <85 years with CRP <150 mg/L, with or without remdesivir ($1,858); (2) Black and African American patients with CRP <150 mg/L ($13,154); and (3) Black and African American patients from the full population, regardless of CRP level ($2,763). In the full modified intent-to-treat population, an additional cost of $4,952 per patient was estimated. When adding rehospitalization costs to the index hospitalization, a total per-patient cost savings of $5,154 was estimated. CONCLUSIONS: The results highlight the clinical benefits for SWOV, ventilator use, time to recovery, mortality, time in ICU, and time on IMV, in addition to an economic benefit from the US hospital perspective associated with adding lenzilumab to SOC for COVID-19 patients.