Social Health Care Systems Research Articles

2008 economic crisis impact on perinatal and infant mortality in Southern European countries

Abstract Introduction The study of crisis events provides important lessons to prepare for upcoming events. The Great Recession’s impact on perinatal health in Europe can provide relevant insights into the healthcare and social protection systems’ response to protecting the health of the most vulnerable groups. Objectives To assess time trends and international disparities in perinatal mortality rates (PMR) and infant mortality rates (IMR), following the Great Recession, and their association with socioeconomic indicators in Portugal, Greece, Italy and Spain. Methods Associations were assessed through generalised linear models for all four countries. A Poisson joinpoint regression model was applied to explore PMR and IMR trend changes between 2000 and 2018. Country disparities were analysed using mixed-effects multilevel models. Results IMR and PMR have decreased overall in the four selected countries between 2000 and 2018. Still, whereas in Spain, Italy and Portugal the decreasing pace was attenuated after 2009, in Greece a positive trend was found after the 2008 crisis. IMR and PMR were significantly associated with socioeconomic indicators in all four countries. National disparities in the evolution of IMR and PMR were significantly associated with most socioeconomic indicators between 2000 and 2018. Conclusions Our results confirm the impact of the Great Recession on PMR and IMR trends in all four countries, taking recurring associations between macroeconomic cycles, variations in mortality trends, macroeconomic volatility and stagnation of IMR and PMR into account. The association with socioeconomic indicators stresses the need to strengthen social protection and healthcare systems to better protect the population’s health from the earliest days. Key messages • Mortality patterns refer to the internal variability of the crisis’ effect and to persistent spatial regional inequalities appealing to the need for attention in policymaking. • The relevance of considering the political economy of global health finance and macroeconomic volatility as a major influence on the association of mortality rates with socioeconomic indicators.

Exploration of barriers to treatment for patients with eating disorders in Chile

BackgroundEating disorders (EDs) are associated with high morbidity and mortality, affecting predominantly young people and women. A delay in starting treatment is associated with chronic and more severe clinical courses; however, evidence on barriers and facilitators of access to care in Latin America is scarce. We aimed to identify barriers and facilitators of ED treatment in Chile from the perspective of patients, relatives, and health professionals.MethodsQualitative approach through semi-structured interviews with patients, their relatives, and health professionals. Participants were recruited from two ED centers in Santiago, Chile (one public and one private). Analysis was mainly based on Grounded Theory, using MAXQDA software.Results40 interviews were conducted (n = 22 patients, 10 relatives, and 8 health professionals). The mean age of patients was 21.8 years, while the mean duration of untreated ED was 91.4 months (median 70 months). Five categories emerged with intersections between them: patient (P), family and social environment (FSE), health professionals (HP), healthcare system (HCS), and social and cultural context (SCC). Relevant barriers appeared within these categories and their intersections, highlighting a lack of professional knowledge or expertise, cultural ignorance or misinformation regarding EDs, and patient’s ego-syntonic behaviors. The main facilitators were patients’ and relatives’ psychoeducation, recognition of symptoms by family members, and parents taking the initiative to seek treatment.ConclusionsThis study provides information regarding access to treatment for patients living with EDs in Chile. A practical public health approach should consider the multi-causality of delay in treatment and promoting early interventions.Plain English SummaryEating disorders (EDs) may severely affect the daily functioning of people enduring them. A delay in starting treatment is associated with a disease that is more difficult to treat. To our knowledge, there are no published studies carried out in Latin America exploring factors influencing treatment initiation in EDs patients. This study aimed to identify facilitators of and barriers to treating patients with EDs in Chile. We interviewed patients (n = 22), their relatives (n = 10), and health professionals (n = 8) from a private and a public center in Santiago, Chile. Our analysis showed that the main barriers to starting treatment were the lack of professional knowledge in ED, the monetary cost of illness, and cultural misinformation. Facilitators were related to the role of the family in recognizing and addressing the disease while being educated in EDs by professionals. This study helps to provide data about treatment access in developing countries. While facilitators and barriers were similar to others reported in the literature, the untreated ED’s duration was longer. It is essential to address these barriers to provide access to treatment more efficiently and prevent severe and enduring forms of disease.

A Burnt-Out Health: Stigma towards Mental Health Problems as a Predictor of Burnout in a Sample of Community Social Healthcare Professionals.

Burnout is a primary psychosocial risk factor in the workplace. Mental health stigma, which includes negative cognitions, emotions, and behaviors, also undermines the performance of social healthcare professionals. This study aimed to explore the levels of burnout in a sample of community social healthcare workers as well as its relationships with variables such as stigma towards mental health problems, professional skills, and job characteristics. An online assessment was conducted with 184 social healthcare professionals (75.5% female, mean age = 40.82 years, SD = 9.9). Medium levels of burnout and stigma and high levels of professional skills were observed. Multiple linear regression analyses revealed that stigma towards mental health problems and professional skills predicted emotional exhaustion (R2 = 0.153, F(4, 179) = 9.245, p < 0.001), depersonalization (R2 = 0.213, F(3, 180) = 17.540, p < 0.001), and personal accomplishment (R2 = 0.289, F(5, 178) = 15.87, p < 0.001). These findings suggest that social healthcare systems could benefit from taking care of the mental health of their workers by addressing burnout, tackling negative attitudes towards mental health problems, and providing professional skills training. This would help to make social healthcare systems more inclusive and of higher quality, thereby reducing health costs.

Informal Employment and High Burden of Out-of-Pocket Healthcare Payments among Older Workers: Evidence from Longitudinal Ageing Study in India.

India's economy is among the fastest growing in the world. However, a large share of informal workforce is a common characteristic of country's economy, comprises a significant portion of most of its labour markets. This workforce often receives low wages and lacks benefits such as strong social security and health coverage for all. The majority of healthcare spending in India is private. As India's population ages and the informal sector expands, it is expected that many of these workers will continue to work beyond the retirement age to bear their own healthcare costs due to lack of savings, pensions and the precarious nature of their employment. In this context, this study estimates the burden of Out-of-Pocket (OOP) payments on India's informal older workers compared to their formal counterparts, using data from the first wave of the nationally representative Longitudinal Ageing Study in India. According to estimates from the Two-part regression model, informal older workers pay, on an average, INR 1113 (p<0.01) and INR 55 (p<0.05) less than their formal counterparts for inpatient and outpatient care, respectively. However, probit regression models revealed that the burden of combined (both inpatient and outpatient) OOP payments exceeding (by 40%, 20%, and 10%) of their income is significantly higher among informal older workers compared to formal older workers. The study underscores the need for strengthening of universal health insurance schemes to ensure everyone has access to medical services without experiencing financial hardship. It also advocates for policies specifically tailored towards informal workers, considering their unique challenges with regard to livelihoods and healthcare security. In particular, this encompasses bolstering the existing social security and healthcare system, and related policies for ensuring financial security against OOP payments, especially for informal workers and all the population in general.

Influence of smoking and socioeconomic status on labor analgesia: a nationwide register-based study in Finland

PurposeLabor pain can be treated by medical and non-medical analgesia. Smoking during pregnancy has been shown to increase the incidence of several complications and may influence analgesic effectiveness. Previous studies have linked socioeconomic status to the use of epidurals for labor analgesia. We aimed to determine whether smoking and socioeconomic status influence the use of labor analgesia in Finland.MethodsFrom January 1, 2004 to December 31, 2018, we collected data from the national Finnish Medical Birth Register on smoking status, labor analgesia, and socioeconomic status during pregnancy. These categorized variables were presented as absolute numbers and percentages. We included data on singleton pregnancies and excluded any data on pregnancies that missed smoking or socioeconomic status.Results71,603 women smoked during the first trimester, 42,079 women continued to smoke after the first trimester, and 641,449 were non-smokers. The four most used labor analgesia were nitrous oxide, epidural, other medical analgesia, and non-medical analgesia. The most frequently used analgesia was nitrous oxide, which was used by 60.8% of the group of smokers after the first trimester, 58.8% of smokers during the first trimester, and 54.5% of non-smokers. There were no substantial differences between socioeconomic status classes and labor analgesia used.ConclusionWomen who continued smoking after the first trimester used labor analgesia more often than non-smokers. There were no clear differences between socioeconomic status classes and labor analgesia used. These findings highlight the need to reduce maternal smoking during pregnancy, and universal social healthcare systems should promote equality in labor analgesia.

North Carolina Caregiver Listening Study: Caregiver Experiences and Perspectives on Services and Supports in an Aging U.S. State

ABSTRACT Family caregivers experience health, financial, and social burdens related to caregiving responsibilities. North Carolina has an estimated 1.3 million caregivers, equating to a value of $13.1 billion per year. Caregiving demands warrant additional understanding of the caregiver lived experiences. Our objective was to document these North Carolina caregiver experiences during the era of COVID-19 through focus groups. Participants were recruited through diverse community organizations. All 44 caregivers who completed interest solicitation surveys were invited to participate; 29 caregivers participated across 11 groups. Thematic analysis was used to code and synthesize transcripts from each participant using Dedoose software and guided by the Consolidated Criteria for Reporting Qualitative Research (COREQ). Themes included: caregiver routines (caregiving as an all-encompassing role; dimensions of support); most challenging parts (exhaustion and defeat; lacking support; evolving relationships); most rewarding parts (care recipient resilience; quality time; sense of purpose); social service and healthcare system interactions (positive interactions; negative interactions; inaccessible services); COVID-19 impacts on caregiving (opportunities; challenges); and caregiver suggestions for system improvements (increasing financial support; improved coordination; ideological shifts). Caregivers shared unmet needs, challenges, and opportunities for improvement. Examining these needs and experience-informed recommendations can help advance additional caregiving research, policy-making, and program development.

Overcoming barriers in the implementation of stroke care rehabilitation in a public hospital in Costa Rica

Stroke is a major public health concern in developing countries, where the burden of the disease is high and resources for care are often limited. While progress has been made in improving stroke care, many barriers still exist in providing adequate rehabilitation care for stroke survivors. In this paper we study the case of Costa Rica and how stroke care has been addressed in recent years. It is important to consider the particularities of Costa Rica when working on stroke rehabilitation. The existence of a socialized healthcare system, along with the consolidation of acute stroke management protocols, allows for the adequate management of the early stages. In addition to this, families play a key role in rehabilitation, particularly for a country where there is a lack of medium stay and long-stay rehabilitation centers. Therefore, providing training and education for families is essential in stroke case management. Looking toward the future, there is still a pending need to generate homogeneous stroke rehabilitation protocols throughout the national healthcare system, to ensure equitable access to health care, and to consolidate multidisciplinary groups. At the same time, the implementation of technologies is urgent, particularly considering their potential to help reduce waiting lists. Another goal is enhancing coordination with other state entities and NGOs to advance community, labor or educational reintegration of stroke patients.

Analysis of predictive factors for non-adherence to organized screening for colorectal and breast cancers in the pre-pandemic period (2018-2019) in Lombardy Region (Northern Italy)

according to the International Agency for Cancer Research on Cancer, in 2022, breast cancer is the most common cancer in the Italian population, followed by colorectal cancer. Oncological screenings represent an effective secondary prevention strategy to counteract colorectal and breast cancers, significantly reducing mortality. In Lombardy Region (Northern Italy), screening programmes have been active since 2007, but adherence, especially in specific population subgroups, remains lower than expected. to analyse potential predictors of non-adherence to colorectal and breast cancer screening in the Lombardy Region during the pre-pandemic period of 2018-2019. a retrospective cohort study aimed at investigating the role of sociodemographic variables, health status, and access to the healthcare system on non-adherence to colorectal and breast cancer screening. Statistical analyses were conducted separately by each Agency for Health Protection (ATS). The results of the models were synthesized across the Lombardy region through random-effects meta-analysis. residents within the territory of each ATS in Lombardy as of 01.01.2018 and aged between 49 and 69 years at the beginning of the follow-up. adherence to colorectal and breast cancer screenings. during the study period, across the Lombardy Region, 2,820,138 individuals were eligible to participate in colorectal cancer screening, and 1,357,344 women were eligible to participate in breast cancer screening, with an invitation coverage of 87% and 86%, respectively.For breast cancer screening, older age, cardiopathy, chronic obstructive pulmonary disease (COPD), inflammatory bowel diseases (IBD), autoimmune diseases, and presence of a rare disease are associated with a reduced risk of non-adherence. Conversely, foreign citizenship, oncological diagnosis, transplant, chronic kidney disease/dialysis, diabetes, heart failure, arterial or cerebral vasculopathy, and presence of a neurological diagnosis are associated with significant excess risks of non-participation. For colorectal cancer screening, factors favouring adherence include female gender, older age, cardiopathy, COPD, autoimmune diseases, and having access/utilization of primary care. Non-adherence is associated with foreign citizenship, transplant, chronic kidney disease/dialysis, diabetes, heart failure, arterial or cerebral vasculopathy, IBD, neurological diseases, residence in assisted living facilities, use of integrated home care, and presence of disability. this is the first study conducted in the Lombardy Region which explores the theme of equity of access to organized screenings. This analysis highlights how sociodemographic determinants, chronic conditions, and access to the healthcare and social healthcare system constitute significant risk factors for non-adherence to screening programmes. Based on the results of this analysis, communication and/or organizational change interventions will be developed to counteract inequalities in access to effective prevention procedures.

Auditory Risk Factors at Birth and Language Development at 2 Years of Age: A Longitudinal Analysis.

Aim. To analyze the relationship between auditory risk factors at birth and subsequent language development in toddlerhood. Methods. Participants are 136 children from a longitudinal birth cohort follow-up at age 2 years. They were divided into 2 groups: One comprising 105 children without hearing risk factors at birth and another comprising 31 children with auditory risk factors at birth but normal hearing. Results. In children with and without risk factors, the combination of socio-emotional, socio-economic, and auditory risk factors at birth significantly predicted language development at age 2 years. Family socio-economic status had a significant impact on overall child development, even after controlling for socio-emotional development and the presence of risk factors. Conclusions. The study was conducted in an upper-middle income country with a socialized health care system. It underscores the importance of a holistic approach to early childhood language development, taking into account biological, socioeconomic, and emotional factors.

An Aging World Relies on Migrant Care Workers

Around the world, societies are aging. Most governments have not prepared well for this demographic change, which requires a recalibration of existing social support programs like state pension and health care systems. Piecemeal state solutions have generated a reliance on migrant workers in elder care. This has worsened global inequalities in health care, subjected migrants to poor working conditions and exploitation, and revived racialized forms of domestic service for wealthy households in high-income countries. Finding fairer and more sustainable solutions to the demographic transition calls for innovative thinking and creative adaptation.

A clustering-based differential privacy protection algorithm for weighted social networks.

Weighted social networks play a crucial role in various fields such as social media analysis, healthcare, and recommendation systems. However, with their widespread application and privacy issues have become increasingly prominent, including concerns related to sensitive information leakage, individual behavior analysis, and privacy attacks. Despite traditional differential privacy protection algorithms being able to protect privacy for edges with sensitive information, directly adding noise to edge weights may result in excessive noise, thereby reducing data utility. To address these challenges, we proposed a privacy protection algorithm for weighted social networks called DCDP. The algorithm combines the density clustering algorithm OPTICS to partition the weighted social network into multiple sub-clusters and adds noise to different sub-clusters at random sampling frequencies. To enhance the balance of privacy protection, we designed a novel privacy parameter calculation method. Through theoretical derivation and experimentation, the DCDP algorithm demonstrated its capability to achieve differential privacy protection for weighted social networks while effectively maintaining data accuracy. Compared to traditional privacy protection algorithms, the DCDP algorithm reduced the average relative error by approximately 20% and increases the proportion of unchanged shortest paths by about 10%. In summary, we aimed to address privacy issues in weighted social networks, providing an effective method to protect user-sensitive information while ensuring the accuracy and utility of data analysis.

WHO WORKS LONGER IN LATER LIFE? KEY VARIATIONS IN WORKING LIFE EXPECTANCY IN INTERNATIONAL PERSPECTIVE

Abstract In the context of population aging, policymakers are eager to encourage and enable longer working lives, assuming this will lead to increased tax revenue and reduced demand on social security and health care systems. Simultaneously, individuals who work longer will gain additional income and may experience the psychosocial benefits that come from workplace engagement. However, many factors drive early labor market exit, and blanket policy strategies to extend working lives often ignore the nuances that shape the length of real working lives. Such policies have emerged partly from increased life expectancies, although these measures fail to capture subgroup differences in the capacity to continue working. They also do not account for often discontinuous labor market trajectories, particularly around retirement. As such, scholars have turned to more refined methodologies and concepts like working life expectancy (WLE) to better inform policies that actively aim to increase retirement ages. This symposium highlights an ongoing program of work by the IDEAR network, which examines WLE using longitudinal studies of aging in Europe. The symposium features results from Sweden and England, estimating WLE using multi-state models. Unlike other approaches to estimate life expectancy employing the Sullivan method, this approach allows for reversible transitions between work and non-work, reflecting the dynamic and complex nature of modern labor market transitions and exits. The symposium further presents how WLE varies according to key determinants, including socioeconomic status, healthy lifestyles, and unpaid caregiving, highlighting the policy implications that emerge from recognizing inequalities and variations in WLE across vulnerable subgroups.

Robust Global Trends during Pandemics: Analysing the Interplay of Biological and Social Processes

The essence of the stochastic processes behind the empirical data on infection and fatality during pandemics is the complex interdependence between biological and social factors. Their balance can be checked on the data of new virus outbreaks, where the population is unprepared to fight the viral biology and social measures and healthcare systems adjust with a delay. Using a complex systems perspective, we combine network mapping with K-means clustering and multifractal detrended fluctuations analysis to identify typical trends in fatality rate data. We analyse global data of (normalised) fatality time series recorded during the first two years of the recent pandemic caused by the severe acute respiratory syndrome coronavirus 2 as an appropriate example. Our results reveal six clusters with robust patterns of mortality progression that represent specific adaptations to prevailing biological factors. They make up two significant groups that coincide with the topological communities of the correlation network, with stabilising (group g1) and continuously increasing rates (group g2). Strong cyclic trends and multifractal small-scale fluctuations around them characterise these patterns. The rigorous analysis and the proposed methodology shed more light on the complex nonlinear shapes of the pandemic’s main characteristic curves, which have been discussed extensively in the literature regarding the global infectious diseases that have affected humanity throughout its history. In addition to better pandemic preparedness in the future, the presented methodology can also help to differentiate and predict other trends in pandemics, such as fatality rates, caused simultaneously by different viruses in particular geographic locations.

Social health insurance development to get universal health coverage in Vietnam: situation, challenges an recommendations

Universal health insurance is currently a risk-sharing solution that aims to provide healthcare coverage for all citizens of Vietnam. However, in the current context, health care costs are increasing, especially the cost of treating diseases. Universal health insurance is increasingly becoming an important support tool that helps to share the financial risks of people and protect their health. Therefore, the article studies the importance of universal health insurance in the social health care system in Vietnam, its direct impacts on patients, and the current situation, challenges, and some recommendations to improve the development of social health insurance towards the goal of universal health coverage in Vietnam.

The role of different educational programs in specialty preference among Chinese medical students: a cross-sectional study

BackgroundThe imbalanced supply of physicians in different specialties and the decreasing number of young doctors in China have made it important to understand specialty preference and influencing factors and to evaluate the role of different programs in specialty choice and career planning among Chinese medical students to help shape the social healthcare system and ensure adequate medical practitioners in each specialty.MethodA cross-sectional study comprising medical students from 5-year and 8-year program was conducted online. Demographics, specialty preferences and influencing factors, and career planning situations were collected and analysed by the chi-square test. Binary logistic regression analysis was performed in each program to identify the association between influencing factors and each specialty.ResultsA total of 128 students (57.03% 5-year, 42.97% 8-year) responded to our survey. More 8-year students had a doctor in their household than 5-year students (25.45% vs. 10.96%, p < 0.05). The most preferred specialty among 5-year students was surgery, followed by others and internal medicine, while that most preferred by 8-year students was surgery, followed by internal medicine, obstetrics/gynecology and anesthesiology. Compared with 5-year students, more 8-year students considered ‘personal competencies’ (66.67% vs. 40.85%, p < 0.05), ‘the reputation of the specialty’ (18.52% vs. 7.04%, p ≤ 0.05), ‘fewer doctor‒patient disputes’ (27.78% vs. 11.27%, p < 0.05) and ‘advice from family members’ (24.07% vs. 7.04%, p < 0.05) influential. Among 5-year students, ‘personal competencies’ was positively associated with preference for surgery and ‘work-life balance’ was negatively associated. Among 8-year students, ‘personal competencies’ and ‘work-life balance’ were positively associated with internal medicine, while ‘interests in the specialty’ and ‘broad career prospects’ were negatively related. Many students need further career guidance, and personalized tutoring was the most wanted method.ConclusionsThere was no difference between 5-year and 8-year students regarding specialty preference, but bias existed, possibly due to the influence of the real-world situation. Improving the working environment and welfare might be beneficial for developing a balanced distribution of the workforce among different medical departments. It is necessary for medical schools to develop programs accordingly to help them better plan their future careers.

DNA methylation: The epigenetic mechanism of Alzheimer's disease.

Nowadays, with the development of the social health care system, there is an increasing trend towards an aging society. The incidence of Alzheimer's disease (AD) is also on the rise. AD is a kind of neurodegenerative disease that can be found in any age group. For years, scientists have been committing to discovering the cause of AD. DNA methylation is one of the most common epigenetic mechanisms in mammals and plays a vital role in the pathogenesis of several diseases, including tumors. Studying chemical changes in the epigenome, or DNA methylation can help us understand the effects of our environment and life on diseases, such as smoking, depression, and menopause, which may affect people's chances of developing Alzheimer's or other diseases. Recent studies have identified some crucial genes like ANK1, RHBDF2, ABCA7, and BIN1, linking DNA methylation to AD. This review focuses on elucidating the relationship between DNA methylation and the pathogenesis of AD and provides an outlook on possible targeted therapeutic modalities.

Socio-economic determinants for the place of last care: results from the acute palliative care unit of a large comprehensive cancer center in a high-income country in Europe

Background and introductionThe place of last care carries importance for patients at the end of life. It is influenced by the realities of the social welfare and healthcare systems, cultural aspects, and symptom burden. This study aims to investigate the place of care trajectories of patients admitted to an acute palliative care unit.Materials and methodsThe medical records of all patients hospitalized on our acute palliative care unit in 2019 were assessed. Demographic, socio-economic and disease characteristics were recorded. Descriptive and inferential statistics were used to identify determinants for place of last care.ResultsA total of 377 patients were included in this study. Median age was 71 (IQR, 59–81) years. Of these patients, 56% (n = 210) were male. The majority of patients was Swiss (80%; n = 300); about 60% (n = 226) reported a Christian confession; and 77% had completed high school or tertiary education. Most patients (80%, n = 300) had a cancer diagnosis. The acute palliative care unit was the place of last care for 54% of patients. Gender, nationality, religion, health insurance, and highest level of completed education were no predictors for place of last care, yet previous outpatient palliative care involvement decreased the odds of dying in a hospital (OR, 0.301; 95% CI, 0.180–0.505; p-value < 0.001).ConclusionMore than half of patients admitted for end-of-life care died on the acute palliative care unit. While socio-economic factors did not determine place of last care, previous involvement of outpatient palliative care is a lever to facilitate dying at home.

Best Practices for Technology in Clinical Social Work and Mental Health Professions to Promote Well-being andPrevent Fatigue.

The shift to communication technologies during the pandemic has had positive and negative effects on clinical social worker practice. Best practices are identified for clinical social workers to maintain emotional well-being, prevent fatigue, and avoid burnout when using technology. A scoping review from 2000 to 21 of 15 databases focused on communication technologies for mental health care within four areas: (1) behavioral, cognitive, emotional, and physical impact; (2) individual, clinic, hospital, and system/organizational levels; (3) well-being, burnout, and stress; and (4) clinician technology perceptions. Out of 4795 potential literature references, full text review of 201 papers revealed 37 were related to technology impact on engagement, therapeutic alliance, fatigue and well-being. Studies assessed behavioral (67.5%), emotional (43.2%), cognitive (57.8%), and physical (10.8%) impact at the individual (78.4%), clinic (54.1%), hospital (37.8%) and system/organizational (45.9%) levels. Participants were clinicians, social workers, psychologists, and other providers. Clinicians can build a therapeutic alliance via video, but this requires additional skill, effort, and monitoring. Use of video and electronic health records were associated with clinician physical and emotional problems due to barriers, effort, cognitive demands, and additional workflow steps. Studies also found high user ratings on data quality, accuracy, and processing, but low satisfaction with clerical tasks, effort required and interruptions. Studies have overlooked the impact of justice, equity, diversity and inclusion related to technology, fatigue and well-being, for the populations served and the clinicians providing care. Clinical social workers and health care systems must evaluate the impact of technology in order to support well-being and prevent workload burden, fatigue, and burnout. Multi-level evaluation and clinical, human factor, training/professional development and administrative best practices are suggested.

Priority setting in the German healthcare system: results from a discrete choice experiment.

Worldwide, social healthcare systems must face the challenges of a growing scarcity of resources and of its inevitable distributional effects. Explicit criteria are needed to define the boundaries of public reimbursement decisions. As Germany stands at the beginning of such a discussion, more formalised priority setting procedures seem in order. Recent research identified multi-criteria decision analysis (MCDA) as a promising approach to inform and to guide decision-making in healthcare systems. In that regard, this paper aims to analyse the relative weight assigned to various criteria in setting priority interventions in Germany. A discrete choice experiment (DCE) was employed in 2015 to elicit equity and efficiency preferences of 263 decision makers, through six attributes. The experiment allowed us to rate different policy interventions based on their features in a composite league table (CLT). As number of potential beneficiaries, severity of disease, individual health benefits and cost-effectiveness are the most relevant criteria for German decision makers within the sample population, the results display an overall higher preference towards efficiency criteria. Specific high priority interventions are mental disorders and cardiovascular diseases.

Impacts of the population ageing on the effects of the nationwide emission trading scheme in China

Nowadays, population ageing is a common social phenomenon that occurs worldwide. Rapid ageing may have profound socioeconomic impacts, and thus it may influence effects of climate policy. Nevertheless, very few previous researchers have evaluated climate policy in an ageing society. In this paper, we attempt to narrow the research gap by incorporating ageing impact in climate policy evaluation. Specifically, we have modeled ageing impacts on labor supply, household electricity consumption, and health expenditure. The core of the research framework in this paper is a dynamic recursive Computable General Equilibrium (CGE) model. The model results show that population ageing tends to decrease private health expenditure but increase governmental health expenditure. In contrast, Emission Trading Scheme (ETS) decreases both private and governmental health expenditure. Both population ageing and ETS decrease labor employment, employment rate, GDP, and carbon emissions. The results imply that population ageing lays heavy burdens on social healthcare system, whilst climate policy reduces governmental health expenditure. In ageing societies, mitigation targets can be achieved less costly and more easily through implementing ETS.