Intergenerational resource sharing and mortality in a global perspective.

Resource sharing has always been a central component of human sociality. Children require heavy investments in human capital; during working years, help is needed due to illness, disability, or bad luck. While hunter-gatherer elders assisted their descendants, more recently, elderly withdraw from work and require assistance as well. Willingness to share has been critically important for our past evolutionary success and our present daily lives. Here, we document a strong linear relationship between the public and private sharing generosity of a society and the average length of life of its members. Our findings from 34 countries on six continents suggest that survival is higher in societies that provide more support and care for one another. We suggest that this support reduces mortality by meeting urgent material needs, but also that sharing generosity may reflect the strength of social connectedness, which itself benefits human health and wellbeing and indirectly raises survival.

Effects of the information-driven awareness on epidemic spreading on multiplex networks.

In this study, we examine the impact of information-driven awareness on the spread of an epidemic from the perspective of resource allocation by comprehensively considering a series of realistic scenarios. A coupled awareness-resource-epidemic model on top of multiplex networks is proposed, and a Microscopic Markov Chain Approach is adopted to study the complex interplay among the processes. Through theoretical analysis, the infection density of the epidemic is predicted precisely, and an approximate epidemic threshold is derived. Combining both numerical calculations and extensive Monte Carlo simulations, the following conclusions are obtained. First, during a pandemic, the more active the resource support between individuals, the more effectively the disease can be controlled; that is, there is a smaller infection density and a larger epidemic threshold. Second, the disease can be better suppressed when individuals with small degrees are preferentially protected. In addition, there is a critical parameter of contact preference at which the effectiveness of disease control is the worst. Third, the inter-layer degree correlation has a "double-edged sword" effect on spreading dynamics. In other words, when there is a relatively lower infection rate, the epidemic threshold can be raised by increasing the positive correlation. By contrast, the infection density can be reduced by increasing the negative correlation. Finally, the infection density decreases when raising the relative weight of the global information, which indicates that global information about the epidemic state is more efficient for disease control than local information.

A Practical Approach to the Management of Cancer Patients During the Novel Coronavirus Disease 2019 (COVID-19) Pandemic: An International Collaborative Group.

The outbreak of coronavirus disease 2019 (COVID-19) has rapidly spread globally since being identified as a public health emergency of major international concern and has now been declared a pandemic by the World Health Organization (WHO). In December 2019, an outbreak of atypical pneumonia, known as COVID-19, was identified in Wuhan, China. The newly identified zoonotic coronavirus, severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), is characterized by rapid human-to-human transmission. Many cancer patients frequently visit the hospital for treatment and disease surveillance. They may be immunocompromised due to the underlying malignancy or anticancer therapy and are at higher risk of developing infections. Several factors increase the risk of infection, and cancer patients commonly have multiple risk factors. Cancer patients appear to have an estimated twofold increased risk of contracting SARS-CoV-2 than the general population. With the WHO declaring the novel coronavirus outbreak a pandemic, there is an urgent need to address the impact of such a pandemic on cancer patients. This include changes to resource allocation, clinical care, and the consent process during a pandemic. Currently and due to limited data, there are no international guidelines to address the management of cancer patients in any infectious pandemic. In this review, the potential challenges associated with managing cancer patients during the COVID-19 infection pandemic will be addressed, with suggestions of some practical approaches. IMPLICATIONS FOR PRACTICE: The main management strategies for treating cancer patients during the COVID-19 epidemic include clear communication and education about hand hygiene, infection control measures, high-risk exposure, and the signs and symptoms of COVID-19. Consideration of risk and benefit for active intervention in the cancer population must be individualized. Postponing elective surgery or adjuvant chemotherapy for cancer patients with low risk of progression should be considered on a case-by-case basis. Minimizing outpatient visits can help to mitigate exposure and possible further transmission. Telemedicine may be used to support patients to minimize number of visits and risk of exposure. More research is needed to better understand SARS-CoV-2 virology and epidemiology.

Spatiotemporal matching between medical resources and population ageing in China from 2008 to 2017.

BACKGROUND: Globally, the increasingly severe population ageing issue has been creating challenges in terms of medical resource allocation and public health policies. The aim of this study is to address the space-time trends of the population-ageing rate (PAR), the number of medical resources per thousand residents (NMRTR) in mainland China in the past 10 years, and to investigate the spatial and temporal matching between the PAR and NMRTR in mainland China. METHODS: The Bayesian space-time hierarchy model was employed to investigate the spatiotemporal variation of PAR and NMRTR in mainland China over the past 10 years. Subsequently, a Bayesian Geo-Detector model was developed to evaluate the spatial and temporal matching levels between PAR and NMRTR at national level. The matching odds ratio (OR) index proposed in this paper was applied to measure the matching levels between the two terms in each provincial area. RESULTS: The Chinese spatial and temporal matching q-statistic values between the PAR and three vital types of NMRTR were all less than 0.45. Only the spatial matching Bayesian q-statistic values between the PAR and the number of beds in hospital reached 0.42 (95% credible interval: 0.37, 0.48) nationwide. Chongqing and Guizhou located in southwest China had the highest spatial and temporal matching ORs, respectively, between the PAR and the three types of NMRTR. The spatial pattern of the spatial and temporal matching ORs between the PAR and NMRTR in mainland China exhibited distinct geographical features, but the geographical structure of the spatial matching differed from that of the temporal matching between the PAR and NMRTR. CONCLUSION: The spatial and temporal matching degrees between the PAR and NMRTR in mainland China were generally very low. The provincial regions with high PAR largely experienced relatively low spatial matching levels between the PAR and NMRTR, and vice versa. The geographical pattern of the temporal matching between the PAR and NMRTR exhibited the feature of north-south differentiation.

The gap between macroeconomic and microeconomic health resources allocation decisions: The case of nurses.

The allocation of healthcare resources takes place at two distinct levels. At the macroeconomic level, policymakers decide on budgets, staffing, cost-effectiveness thresholds, clinical guidelines and insurance payments; at the microeconomic level, healthcare professionals decide on whom to treat, what the appropriate treatment is, how much time and effort should each patient receive and how urgent the need for care is. At both levels, there is a constant social need for just allocation. Policymakers are mostly guided by abstract principles of justice, thinking in terms of groups of patients, epidemiological data, impersonal statistics and economic costs. On the other hand, healthcare professionals understand the need for justice at a more personal level, as they interact with patients and, in a sense, put theory into practice. Nurses hold a unique position in healthcare systems, as, traditionally, they are closer to patients than other health professionals. This means that they have a firsthand view of the effect that their decisions have on specific patients and, therefore, nurses tend to get more influenced by their personal feelings, values and beliefs at the microeconomic level. This presentation shall examine the gap between abstract macroeconomic and concrete microeconomic health resources allocation decisions, with a particular emphasis on the role of the nurse.

Temporal Changes and Regional Variation in Acceptance of Hepatitis C Virus-Viremic Livers.

The high efficacy of current hepatitis C virus (HCV) therapy and increased numbers of HCV-infected deceased donors have changed the paradigm of HCV in liver transplantation (LT). Modeling studies have been performed to evaluate the optimal timing of HCV treatment (before versus after LT) in HCV-infected patients and to assess the cost-effectiveness of transplanting HCV-infected livers into HCV- patients. However, these models rely on historical data and have not quantified the temporal changes in the median Model for End-Stage Liver Disease (MELD) score at transplant of recipients of an HCV-infected liver across geographic areas. We performed a retrospective cohort study of Organ Procurement and Transplantation Network/United Network for Organ Sharing (UNOS) data of nonstatus 1 deceased donor LT recipients from January 1, 2016, to December 31, 2018, and we calculated the difference in allocation MELD score in recipients of HCV nucleic acid test (NAT)- versus NAT+ livers by year and UNOS region. We used Pearson correlation coefficients to assess the relationship between MELD score difference in recipients of HCV NAT+ versus HCV NAT- livers and the proportion of non-HCV recipients of HCV NAT+ livers. Nationally, the allocation MELD score difference at LT in recipients of HCV NAT+ versus NAT- livers did not change (4-point difference). This stability was seen in regions 3, 5, and 10. In regions 1, 7, 8, 9, and 11, the MELD score difference decreased, which is a diminishing advantage. However, in regions 2 and 4, it increased, which is a rising advantage. In 2018, recipients of HCV NAT+ livers had a lower MELD score in 9/11 regions, and the MELD score advantage of accepting HCV NAT+ livers had a moderate inverse correlation with the regional use in non-HCV patients (r = -0.53). These data should be used to inform clinicians of the pre- and post-LT trade-offs of HCV treatment.

Denver ED Trauma Organ Failure Score predicts healthcare resource utilization in adult trauma patients.

BACKGROUND: Early identification of trauma patients who need specialized healthcare resources may facilitate goal-directed resuscitation and effective secondary triage. OBJECTIVE: To estimate associations between Denver Emergency Department (ED) Trauma Organ Failure (TOF) Score and healthcare resource utilization. METHODS: Retrospective study of adult trauma patients at Denver Health Medical Center. The outcome was resource utilization including: intensive care unit (ICU) length of stay (LOS), hospital LOS, procedures, and costs. Multivariable regression analyses were used to estimate associations between moderate- or high-risk patients, as determined by the Denver ED TOF Score, and healthcare resource utilization. RESULTS: We included 3000 patients with a median age of 42 (IQR 27-56) years, 71% male, median injury severity score 9 (IQR 5-16), and 83% blunt mechanism. Among the cohort, 1379 patients (46%) were admitted to the ICU and 122 (4%) died. The adjusted relative risk for high- and moderate-risk as compared to low risk for number of procedures performed was 2.31 (95% CI 2.07-2.57) and 1.80 (95% CI 1.59-2.03) respectively; ICU LOS was 2.87 (95% CI 2.70-3.05) and 1.71 (95% CI 1.60-1.83) respectively; hospital LOS was 3.33 (95% CI 3.21-3.45) and 1.97 (95% CI 1.90-2.05) respectively. The adjusted geometric mean for high-, moderate-, and low-risk for costs was $48,881 (95% CI $43,799-$54,552), $27,890 (95% CI $25,460-$30,551), and $12,983 (95% CI $12,493-$13,492), respectively. CONCLUSIONS: The Denver ED TOF Score predicts healthcare resource utilization, and is a useful bedside tool to identify patients early after injury that are likely to require significant healthcare resources and specialized trauma care.

Measuring and monitoring equity in access to deceased donor kidney transplantation.

The Organ Procurement and Transplantation Network monitors progress toward strategic goals such as increasing the number of transplants and improving waitlisted patient, living donor, and transplant recipient outcomes. However, a methodology for assessing system performance in providing equity in access to transplants was lacking. We present a novel approach for quantifying the degree of disparity in access to deceased donor kidney transplants among waitlisted patients and determine which factors are most associated with disparities. A Poisson rate regression model was built for each of 29 quarterly, period-prevalent cohorts (January 1, 2010-March 31, 2017; 5 years pre-kidney allocation system [KAS], 2 years post-KAS) of active kidney waiting list registrations. Inequity was quantified as the outlier-robust standard deviation (SDw ) of predicted transplant rates (log scale) among registrations, after "discounting" for intentional, policy-induced disparities (eg, pediatric priority) by holding such factors constant. The overall SDw declined by 40% after KAS implementation, suggesting substantially increased equity. Risk-adjusted, factor-specific disparities were measured with the SDw after holding all other factors constant. Disparities associated with calculated panel-reactive antibodies decreased sharply. Donor service area was the factor most associated with access disparities post-KAS. This methodology will help the transplant community evaluate tradeoffs between equity and utility-centric goals when considering new policies and help monitor equity in access as policies change.

Increasing Liver Transplantation Wait-List Dropout for Hepatocellular Carcinoma With Widening Geographical Disparities: Implications for Organ Allocation.

Given the increasing incidence of hepatocellular carcinoma (HCC) and regional variation in liver transplantation (LT) rates for HCC, we investigated temporal and geographic disparities in LT and wait-list dropout. LT candidates receiving Model for End-Stage Liver Disease (MELD) exception from 2005 to 2014 were identified from the United Network for Organ Sharing database (n = 14,320). Temporal differences were compared across 2 eras (2005-2009 and 2010-2014). Regional groups were defined based on median wait time as long-wait region (LWR; regions 1, 5, and 9), mid-wait region (MWR; regions 2, 4, 6, 7, and 8), and short-wait region (SWR; regions 3, 10, and 11). Fine and Gray competing risk regression estimated risk of wait-list dropout as hazard ratios (HRs). The cumulative probability of LT within 3 years was 70% in the LWR versus 81% in the MWR and 91% in the SWR (P < 0.001). From 2005-2009 to 2010-2014, median time to LT increased by 6.0 months (5.6 to 11.6 months) in the LWR compared with 3.8 months (2.6 to 6.4 months) in the MWR and 1.3 months (1.0 to 2.3 months) in the SWR. The cumulative probability of dropout within 3 years was 24% in the LWR versus 16% in the MWR and 8% in the SWR (P < 0.001). From 2005-2009 to 2010-2014, the LWR also had the greatest increase in probability of dropout. Risk of dropout was increased in the LWR (HR, 3.5; P < 0.001) and the MWR (HR, 2.2; P < 0.001) compared with the SWR, and year of MELD exception 2010-2014 (HR, 1.9; P < 0.001) compared with 2005-2009. From 2005-2009 to 2010-2014, intention-to-treat 3-year survival decreased from 69% to 63% in the LWR (P < 0.001), 72% to 69% in the MWR (P = 0.008), and remained at 74% in the SWR (P = 0.48). In conclusion, we observed a significant increase in wait-list dropout in HCC patients in recent years that disproportionately impacted LWR patients. Widening geographical disparities call for changes in allocation policy as well as enhanced efforts at increasing organ donation and utilization.

Global, Regional and National Burden of Prostate Cancer, 1990 to 2015: Results from the Global Burden of Disease Study 2015.

PURPOSE: Data on the incidence, mortality and burden of prostate cancer as well as changing trends are necessary to provide policy makers with the evidence needed to allocate resources appropriately. This study presents estimates of prostate cancer incidence, mortality and burden from 1990 to 2015 by patient age, country and developmental status using the results of the Global Burden of Disease 2015 study. MATERIALS AND METHODS: Data from vital registration systems and cancer registries were used to generate mortality estimates. Cause specific mortality served as the basis for estimating incidence, prevalence and disability adjusted life years. The global number of incident cases, deaths and disability adjusted life years attributable to prostate cancer are reported as well as age standardized rates. RESULTS: Incident cases of prostate cancer increased 3.7-fold from 1990 to 2015. The age standardized incidence rate also increased 1.7-fold during the study period and in 2015 it reached 56.71/100,000 person-years (95% uncertainty interval 45.86-78.45). Global estimates of the age standardized death rate decreased slightly to 14.24 deaths (95% uncertainty interval 11.8-17.95) per 100,000 person-years in 2015. The decline in the age standardized death rate was more prominent in high income countries. Disability adjusted life years attributable to prostate cancer increased by 90% during the study period. CONCLUSIONS: The prostate cancer mortality rate is decreasing in high income countries. However, the incidence and burden of disease are steadily increasing globally, resulting in further challenges in the allocation of limited health care resources. The current study provides comprehensive knowledge of the local burden of disease and help with appropriate allocation of resources for prostate cancer prevention, screening and treatment.

Trends in health resource disparities in primary health care institutions in Liaoning Province in Northeast China.

BACKGROUND: The allocation of health resources in primary health care institutions (PHCI) is crucial to health reform. China has recently implemented many reform measures emphasizing the provision of primary health care services, with equity as one of the major goals. The aim of this study was to analyze the quantity, quality, and distribution of health resources in Liaoning Province from 2005 to 2017. METHODS: Data were drawn from the annual financial report from 2005 to 2017 and information from the Liaoning Province Department of Statistics. Numbers of beds and physicians were used as indicators of health resources. Capital assets per bed, value of medical equipment per bed, operational space per bed, and number of physicians with different educational levels were used as indicators of quality of health resources. Concentration indices (CI) and Gini coefficients were calculated. RESULTS: There was a steady rise in health resources in PHCI. From 2005 to 2017, the quality of health resources improved. The CI of beds showed an overall downward trend, indicating an improvement in the disparity among PHCI. There was a similar trend in the CI of fixed assets per bed. The Gini coefficients of physicians overall and physicians with different educational levels were almost always < 0.3, showing preferred equity status. There was a decreasing trend in the Gini coefficients of PHCI physicians with bachelor's degrees or higher and physicians with associate's degrees. The proportion of health resource of PHCI in health system increased from 2005 to 2009, before decreasing from 2009 to 2017 and the percentage of physicians overall and physicians with bachelor's degrees or higher in PHCI declined after 2011. CONCLUSIONS: There was an improvement in the quantity and quality of health resources in PHCI from 2005 to 2017. The distribution of health resource allocation in PHCI also improved. The findings revealed that the measures for the improvement of PHCI physicians' educational level has been successful and the measures taken by the government in health reform to strengthen the primary health care system have not been successful.

[Trends in Medical Rehabilitation : Supply Structure and Target Groups]. / Trends in der medizinischen Rehabilitation : Angebotsstruktur und Zielgruppen.

Medical rehabilitation in Germany has been changing continuously since its inception following the Bismarck Legislation. This article describes its development in past years and discusses quantitative and qualitative changes. Central quantitative changes are discussed using the examples of rehabilitation utilisation, spectrum of diseases, setting and follow-up rehabilitation. Important qualitative changes in medical rehabilitation pertain to multiple morbidities, the emphasis on work-related problems in rehabilitative concepts and their implementation, more flexible forms of rehabilitation, prevention, rehabilitation for people from other countries, mobile rehabilitation and rehabilitation after-care (also with new media). The article ends with an outlook on future developments within legislation, access to rehabilitation and the budget for rehabilitation, in addition to cooperation with the workplace.

Broader Geographic Sharing of Pediatric Donor Lungs Improves Pediatric Access to Transplant.

US pediatric transplant candidates have limited access to lung transplant due to the small number of donors within current geographic boundaries, leading to assertions that the current lung allocation system does not adequately serve pediatric patients. We hypothesized that broader geographic sharing of pediatric (adolescent, 12-17 years; child, <12 years) donor lungs would increase pediatric candidate access to transplant. We used the thoracic simulated allocation model to simulate broader geographic sharing. Simulation 1 used current allocation rules. Simulation 2 offered adolescent donor lungs across a wider geographic area to adolescents. Simulation 3 offered child donor lungs across a wider geographic area to adolescents. Simulation 4 combined simulations 2 and 3. Simulation 5 prioritized adolescent donor lungs to children across a wider geographic area. Simulation 4 resulted in 461 adolescent transplants per 100 patient-years on the waiting list (range 417-542), compared with 206 (range 180-228) under current rules. Simulation 5 resulted in 388 adolescent transplants per 100 patient-years on the waiting list (range 348-418) and likely increased transplant rates for children. Adult transplant rates, waitlist mortality, and 1-year posttransplant mortality were not adversely affected. Broader geographic sharing of pediatric donor lungs may increase pediatric candidate access to lung transplant.

[Health care economic guidance in Germany from the example Morbi-RSA]. / Gesundheitsökonomische Steuerung in Deutschland am Beispiel des morbiditätsorientierten Risikostrukturausgleichs (Morbi-RSA).

Increasing costs in health care represent still a major challenge in most industrial contries. A lot of attempts especially in Germany have been made to manage such problems and for a fair allocation oft he underlying resources. One of this ist the Morbi-RSA. The current review reflects all historical, medical and economical aspects of the Morbi-RSA and gives a perspective to possible future developments.

Retroactive application of the new kidney allocation system to renal transplants performed in the ECD/SCD era.

The kidney allocation system (KAS) aims to improve deceased donor kidney transplant outcomes by matching of donor allografts and kidney recipients using the kidney donor risk index (KDRI) and recipient estimated post-transplant survival (EPTS) indices. In this single-center study, KAS was retroactively applied to 573 adult deceased donor kidney transplants (2004-2012) performed in the extended criteria/standard criteria donor (ECD/SCD) era. Donor KDRI and recipient EPTS were calculated, and transplants were analyzed to identify KAS fits. These were defined as allocation of top 20% allografts to top 20% recipients and bottom 80% allografts to bottom 80% recipients. On retroactive calculation, 70.2% of all transplants fit the KAS. Transplants that fit the KAS had inferior 1- and 5-yr patient survival (95.5% vs. 98.8%, p = 0.048, and 83.4% vs. 91.7%, p = 0.018) and similar 1- and 5-yr graft survival compared to transplants that did not fit the KAS (91.3% vs. 94.1%, p = 0.276, and 72.7% vs. 73.9%, p = 0.561). While EPTS correlated with recipient survival (HR = 2.96, p < 0.001), KDRI correlated with both recipient (HR = 3.56, p < 0.001) and graft survival (HR = 3.23, p < 0.001). Overall, retroactive application of the KAS to transplants performed in the ECD/SCD era did not identify superior patient survival for kidneys allocated in accordance with the KAS.

A QoS aware resource allocation strategy for 3D A/V streaming in OFDMA based wireless systems.

Three-dimensional (3D) video is expected to be a "killer app" for OFDMA-based broadband wireless systems. The main limitation of 3D video streaming over a wireless system is the shortage of radio resources due to the large size of the 3D traffic. This paper presents a novel resource allocation strategy to address this problem. In the paper, the video-plus-depth 3D traffic type is considered. The proposed resource allocation strategy focuses on the relationship between 2D video and the depth map, handling them with different priorities. It is formulated as an optimization problem and is solved using a suboptimal heuristic algorithm. Numerical results show that the proposed scheme provides a better quality of service compared to conventional schemes.

State government organization of health services, 1990-2009: correlates and consequences.

OBJECTIVES: To describe changes in the organizational structure of state health-related departments/agencies between 1990 and 2009; to identify factors associated with key organizational structures; and to investigate their relationship with different resource allocations across health policy areas, as represented by state budgets. DESIGN: Original data collection on the organization of state health-related departments/agencies from 1990 to 2009. Analyses included descriptive statistics, logistic regression, and time-series regression modeling. SETTING AND PARTICIPANTS: All 50 states. MAIN OUTCOMES MEASURES: Organizational structure of state government related to health in 4 areas (Medicaid, public health, mental health, human services); coupling of Medicaid and public health in the same agency; state budget changes in health policy areas, including Medicaid, public health, and hospitals. RESULTS: The housing of 2 or more health-related functions in the same unit was common, with 21 states combining public health and Medicaid at 1 or more points in time. Eighteen states (36%) reorganized their health agencies/departments during the study period. Controlling for numerous economic, social, and political factors, when the state agency responsible for public health is consolidated with Medicaid, the share of the state budget allocated to Medicaid declined significantly, while public health allocations were unchanged. However, consolidating Medicaid with other services did not impact state Medicaid spending. CONCLUSIONS: Government organizational structure related to health varies greatly across states and is somewhat dynamic. When Medicaid and public health functions are consolidated in the same stage agency, public health does not "lose" in terms of its share of the state budget. However, this could change as Medicaid costs continue to grow and with the implementation the Patient Protection and Affordable Care Act of 2010.