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Racial bias is associated with the allocation of advanced heart failure therapies, heart transplants, and ventricular assist devices. It is unknown whether gender and racial biases are associated with the allocation of advanced therapies among women. To determine whether the intersection of patient gender and race is associated with the decision-making of clinicians during the allocation of advanced heart failure therapies. In this qualitative study, 46 US clinicians attending a conference for an international heart transplant organization in April 2019 were interviewed on the allocation of advanced heart failure therapies. Participants were randomized to examine clinical vignettes that varied 1:1 by patient race (African American to white) and 20:3 by gender (women to men) to purposefully target vignettes of women patients to compare with a prior study of vignettes of men patients. Participants were interviewed about their decision-making process using the think-aloud technique and provided supplemental surveys. Interviews were analyzed using grounded theory methodology, and surveys were analyzed with Wilcoxon tests. Randomization to clinical vignettes. Thematic differences in allocation of advanced therapies by patient race and gender. Among 46 participants (24 [52%] women, 20 [43%] racial minority), participants were randomized to the vignette of a white woman (20 participants [43%]), an African American woman (20 participants [43%]), a white man (3 participants [7%]), and an African American man (3 participants [7%]). Allocation differences centered on 5 themes. First, clinicians critiqued the appearance of the women more harshly than the men as part of their overall impressions. Second, the African American man was perceived as experiencing more severe illness than individuals from other racial and gender groups. Third, there was more concern regarding appropriateness of prior care of the African American woman compared with the white woman. Fourth, there were greater concerns about adequacy of social support for the women than for the men. Children were perceived as liabilities for women, particularly the African American woman. Family dynamics and finances were perceived to be greater concerns for the African American woman than for individuals in the other vignettes; spouses were deemed inadequate support for women. Last, participants recommended ventricular assist devices over transplantation for all racial and gender groups. Surveys revealed no statistically significant differences in allocation recommendations for African American and white women patients. This national study of health care professionals randomized to clinical vignettes that varied only by gender and race found evidence of gender and race bias in the decision-making process for offering advanced therapies for heart failure, particularly for African American women patients, who were judged more harshly by appearance and adequacy of social support. There was no associated between patient gender and race and final recommendations for allocation of advanced therapies. However, it is possible that bias may contribute to delayed allocation and ultimately inequity in the allocation of advanced therapies in a clinical setting.

Background China had proposed the unification of equity and efficiency since the launch of the new round of health system reform in 2009. And the central government gave priority to the development of primary health care (PHC) whilst ensuring its availability and improving its efficiency. This study aimed to evaluate the changes of equity and efficiency in PHC resource allocation (PHCRA) and explored ways to improve the current situation. Methods The data of this study came from the China Health Statistical Yearbook (2013–2017) and China Statistical Yearbook (2017). Three and five indicators were used to measure equity and efficiency, respectively. The Lorenz curve, Gini coefficient ( G ), Theil index ( T ) and health resource density index (HRDI) were used to assess equity in demographic and geographical dimensions. Data envelopment analysis (DEA) and the Malmquist productivity index (MPI) were chosen to measure the efficiency and productivity of PHCRA. Results From 2012 to 2016, the total amount of PHCR had increased year by year. The Gs by population size were below 0.2 and that by geographical area were between 0.6 and 0.7. T had the same trend with G , and intra-regional contribution rates were higher than inter-regional contribution rates, which were all beyond 60%. From 2012 to 2016, the numbers of provinces that achieved an effective DEA were 4, 3, 4, 5 and 5, respectively. The mean of the total factor productivity index was 0.994. Conclusion The equity of PHCRA in terms of population size is superior in the geographical area. Intra-regional differences are the main source of inequality. The eastern region has the highest density of PHCR, whereas the western region has the lowest. In addition, PHC institutions in more than 80% of the provinces are inefficient, and the productivity of the institutions decline by 0.6% from 2012 to 2016 because of technological retrogression.

Background The inequitable allocation of health resources is a worldwide problem, and it is also one of the obstacles facing for health services utilization in China. A new round of health care reform which contains the important aspect of improving the equity in health resource allocation was released by Chinese government in 2009. The aim of this study is to understand the changes of equity in health resource allocation from 2009 to 2013, and make a further inquiry of the main factors which influence the equity conditions in China. Methods Data resources are the China Health Statistics Yearbook (2014) and the China Statistical Yearbook (2014). Four indicators were chosen to measure the trends in equity of health resource allocation. Data were disaggregated by three geographical regions: west, central, and east. Theil index was used to calculate the degree of unfairness. Results The total amount of health care resources in China had been increasing in recent years. However, the per 10, 000 km 2 number of health resources showed a huge gap in different regions, and per 10, 000 capita health resources ownership showed a relatively small disparities at the same time. The index of health resources showed an overall downward trend, in which health financial investment the most unfair from 2009 to 2012 and the number of health institutions the most unfair in 2013. The equity of health resources allocation in eastern regions was the worst except for the aspect of health technical personnel allocation. The regional contribution rates were lower than that of the inter-regional contribution rates which were all beyond 60 %. Conclusion The equity of health resource allocation improved gradually from 2009 to 2013. However, the internal differences within the eastern region still have a huge impact on the overall equity in health resource allocation. The tough issues of inequitable in health resource allocation should be resolved by comprehensive measures from a multidisciplinary perspective.

The efficacy of influenza vaccines varies from one year to the next, with efficacy during the 2017–2018 season anticipated to be lower than usual. However, the impact of low-efficacy vaccines at the population level and their optimal age-specific distribution have yet to be ascertained. Applying an optimization algorithm to a mathematical model of influenza transmission and vaccination in the United States, we determined the optimal age-specific uptake of low-efficacy vaccine that would minimize incidence, hospitalization, mortality, and disability-adjusted life-years (DALYs), respectively. We found that even relatively low-efficacy influenza vaccines can be highly impactful, particularly when vaccine uptake is optimally distributed across age groups. As vaccine efficacy declines, the optimal distribution of vaccine uptake shifts toward the elderly to minimize mortality and DALYs. Health practitioner encouragement and concerted recruitment efforts are required to achieve optimal coverage among target age groups, thereby minimizing influenza morbidity and mortality for the population overall.

The adoption of the shared prosperity goal by the World Bank in 2013 and Sustainable Development Goal 10, on inequality, by the United Nations in 2015 should strengthen the focus of development interventions and cooperation on the income growth of the bottom 40 percent of the income distribution. This paper contributes to the incipient literature on within-country allocations of development institutions and assesses the geographic targeting of World Bank projects to the bottom 40 percent. Bivariate correlations between the allocation of project funding approved over 2005-14 and the geographical distribution of the bottom 40 as measured by survey income or consumption data are complemented by regressions with population and other potential factors affecting the within-country allocations as controls. The correlation analysis shows that, of the 58 countries in the sample, 41 exhibit a positive correlation between the shares of the bottom 40 and World Bank funding, and, in almost half of these, the correlation is above 0.5. Slightly more than a quarter of the countries, mostly in Sub-Saharan Africa, exhibit a negative correlation. The regression analysis shows that, once one controls for population, the correlation between the bottom 40 and World Bank funding switches sign and becomes significant and negative on average. This is entirely driven by Sub-Saharan Africa and not observed in the other regions. Hence, the significant and positive correlation in the estimations without controlling for population suggests that World Bank project funding is concentrated in administrative areas in which more people live (including the bottom 40) rather than in poorer administrative areas. Furthermore, capital cities receive disproportionally high shares of World Bank funding on average.

Background The Organ Procurement and Transplant Network (OPTN) Final Rule guides national organ transplantation policies, mandating equitable organ allocation and organ-specific priority stratification systems. Current allocation scores rely on mortality predictions. Methods We examined the alignment between the ethical priorities across organ prioritization systems and the statistical design of the risk models in question. We searched PubMed for literature on organ allocation history, policy, and ethics in the United States. Results We identified 127 relevant articles, covering kidney (19), liver (60), lung (24), and heart transplants (23), and transplant accessibility (1). Current risk scores emphasize model performance and overlook ethical concerns in variable selection. The inclusion of race, sex, and geographical limits as categorical variables lacks biological basis; therefore, blurring the line between evidence-based models and discrimination. Comprehensive ethical and equity evaluation of risk scores is lacking, with only limited discussion of the algorithmic fairness of the Model for End-Stage Liver Disease (MELD) and the Kidney Donor Risk Index (KDRI) in some literature. We uncovered the inconsistent ethical standards underlying organ allocation scores in the United States. Specifically, we highlighted the exception points in MELD, the inclusion of race in KDRI, the geographical limit in the Lung Allocation Score, and the inadequacy of risk stratification in the Heart Tier system, creating obstacles for medically underserved populations. Conclusions We encourage efforts to address statistical and ethical concerns in organ allocation models and urge standardization and transparency in policy development to ensure fairness, equitability, and evidence-based risk predictions.

Purpose The majority of terrorist acts are carried out by explosion or shooting. The objective of this study was first, to describe the management implemented to treat a large number of casualties and their flow together with the injuries observed, and second, to compare these resources according to the mechanism of trauma. Methods This retrospective cohort study collected medical data from all casualties of the attacks on November 13th 2015 in Paris, France, with physical injuries, who arrived alive at any hospital within the first 24 h after the events. Casualties were divided into two groups: explosion injuries and gunshot wounds. Results 337 casualties were admitted to hospital, 286 (85%) from gunshot wounds and 51 (15%) from explosions. Gunshot casualties had more severe injuries and required more in-hospital resources than explosion casualties. Emergency surgery was required in 181 (54%) casualties and was more frequent for gunshot wounds than explosion injuries (57% vs. 35%, p  < 0·01). The types of main surgery needed and their delay following hospital admission were as follows: orthopedic [ n  = 107 (57%); median 744 min]; general [ n  = 27 (15%); 90 min]; vascular [ n  = 19 (10%); median 53 min]; thoracic [ n  = 19 (10%); 646 min]; and neurosurgery [n = 4 (2%); 198 min]. Conclusion The resources required to deal with a terrorist attack vary according to the mechanism of trauma. Our study provides a template to estimate the proportion of various types of surgical resources needed overall, as well as their time frame in a terrorist multisite and multitype attack. Funding Assistance Publique–Hôpitaux de Paris.

Postgraduate education is critical for advancing nursing competence, yet enrolment has declined as nurses struggle to balance clinical, academic and personal responsibilities. Workplace learning offers a flexible, context-driven alternative, allowing nurses to integrate academic development into their clinical practice and potentially mitigating work-life conflicts. However, adoption of structured workplace learning remains limited across healthcare organisations. This study aimed to explore how workplace learning can be integrated into healthcare settings to inform curriculum design, resource allocation and organisational support in postgraduate nursing education. An explanatory sequential mixed-methods study comprising a single-cohort quantitative pre-post knowledge assessment and repeated competence assessments, followed by qualitative focus groups to explain implementation enablers and barriers. Twenty-three postgraduate nurses enrolled in a 13-week workplace learning course participated; 22 completed the study. Quantitative data were analysed with nonparametric statistics, while qualitative data underwent thematic analysis. We observed a slight improvement in median knowledge scores and increasing competence scores across four time points. As this was a single-group evaluation without a control group, quantitative findings cannot be interpreted as causal effects. Qualitative analysis generated three themes: (1) learning and assessment, (2) integration of workplace learning in the organisation and (3) organisational impact on workplace learning. Workplace learning was feasible and valued when supported by peer learning structures, appropriately timed assessments and organisational enablers such as protected time, adequate infrastructure and leadership support.

BACKGROUND:A large proportion of health care spending is incurred by a small proportion of the population. Population-based health planning tools that consider both the clinical and upstream determinants of high resource users (HRU) of the health system are lacking. OBJECTIVE:To develop and validate the High Resource User Population Risk Tool (HRUPoRT), a predictive model of adults that will become the top 5% of health care users over a 5-year period, based on self-reported clinical, sociodemographic, and health behavioral predictors in population survey data. RESEARCH DESIGN:The HRUPoRT model was developed in a prospective cohort design using the combined 2005 and 2007/2008 Canadian Community Health Surveys (CCHS) (N=58,617), and validated using the external 2009/2010 CCHS cohort (N=28,721). Health care utilization for each of the 5 years following CCHS interview date were determined by applying a person-centered costing algorithm to the linked health administrative databases. Discrimination and calibration of the model were assessed using c-statistic and Hosmer-Lemeshow (HL) χ statistic. RESULTS:The best prediction model for 5-year transition to HRU status included 12 predictors and had good discrimination (c-statistic=0.8213) and calibration (HL χ=18.71) in the development cohort. The model performed similarly in the validation cohort (c-statistic=0.8171; HL χ=19.95). The strongest predictors in the HRUPoRT model were age, perceived general health, and body mass index. CONCLUSIONS:HRUPoRT can accurately project the proportion of individuals in the population that will become a HRU over 5 years. HRUPoRT can be applied to inform health resource planning and prevention strategies at the community level.

The aim of this review is to identify, evaluate, and graphically display gaps in the literature related to scarce health resource allocation in humanitarian aid settings. A systematic search strategy was utilized in MEDLINE (via Ovid), Scopus, EMBASE, CINAHL Complete, and ProQuest Central. Articles were reviewed by 2 reviewers with a third reviewer remedying any screening conflicts. Articles meeting inclusion criteria underwent data extraction to facilitate evaluation of the scope, nature, and quality of experience-based evidence for health resource allocation in humanitarian settings. Finally, articles were mapped on a matrix to display evidence graphically. The search strategy identified 6093 individual sources, leaving 4000 for screening after removal of duplicates. Following full-text screening, 12 sources were included. Mapping extracted data according to surge capacity domains demonstrated that all 4 domains were reflected most of all the staff domain. Much of the identified data was presented without adhering to a clear structure or nomenclature. Finally, the mapping suggested potential incompleteness of surge capacity constructs in humanitarian response settings. Through this review, we identified a gap in evidence available to address challenges associated with scarce resource allocation in humanitarian settings. In addition to presenting the distribution of existing literature, the review demonstrated the relevance of surge capacity and resource allocation principles underpinning the developed framework.