Health-related quality of life in seven European countries throughout the course of the COVID-19 pandemic: evidence from the European COvid Survey (ECOS).

PURPOSE: To investigate health-related quality of life (HRQoL) over the course of the COVID-19 pandemic in seven European countries and its association with selected sociodemographic as well as COVID-19-related variables. METHODS: We used longitudinal data from nine quarterly waves collected between April 2020 and January 2022 (sample size per wave ranging from N = 7025 to 7300) of the European COvid Survey (ECOS), a representative survey of adults in Germany, United Kingdom, Denmark, Netherlands, France, Portugal and Italy. HRQoL was measured using the EQ-5D-5L. The association of self-reported COVID-19 infection, perceived health risk from COVID-19, selected sociodemographic variables and the COVID-19 stringency index with HRQoL was analyzed by logistic and linear fixed effects regressions. RESULTS: On average across all nine waves, the proportion of respondents reporting any problems in at least one of the EQ-5D dimensions ranged between 63.8% (Netherlands) and 71.0% (Denmark). Anxiety/depression was the most frequently affected EQ-5D dimension in four countries (Portugal: 52.0%; United Kingdom: 50.2%; Italy: 49.2%; France: 49.0%), whereas pain/discomfort ranked first in three countries (Denmark: 58.3%; Germany: 55.8%; Netherlands: 49.0%). On average across all nine waves, the EQ-VAS score ranged from 70.1 in the United Kingdom to 78.4 in Portugal. Moreover, the EQ-5D-5L index ranged from .82 in Denmark to .94 in France. The occurrence of COVID-19 infection, changes in the perceived risk to one's own health from COVID-19, the occurrence of income difficulties and an increase in the COVID-19 stringency index were associated with increased likelihood of problems in EQ-5D dimensions, reduced EQ-VAS score and reduced EQ-5D-5L index. CONCLUSIONS: Across seven European countries, we found large proportions of respondents reporting problems in HRQoL dimensions throughout the pandemic, especially for anxiety/depression. Various sociodemographic and COVID-19-related variables were associated with HRQoL in longitudinal analysis.

Pushing the boundaries of evaluation, diffusion, and use of medical devices in Europe: Insights from the COMED project.

The field of medical devices has attracted considerable interest from scholarly research in health economics in recent years. Medical devices are indispensable tools for quality health care delivery, but their assessment and appropriate use pose significant challenges to healthcare systems. More research is needed to overcome existing gaps associated with evaluation of digital technologies, address challenges in the use of real-world data in generating evidence for decision-making and to uncover drivers of variation in access to medical devices across countries. Furthermore, the translation of the results and recommendations stemming from research projects into health technology assessment practices needs to be strengthened. The European Union (EU) project COMED aimed to address these gaps by improving existing research and developing new research streams on the methods for evaluation and diffusion of medical devices. The project also intended to provide directly applicable policy advice and tools to inform decision-making, with the aim of impacting public health in the EU. This Health Economics Supplement, together with references of other published outputs of the project, is intended to be the main source for researchers and policy makers seeking information on the COMED project.

Spillover effects and other determinants of medical device uptake in the presence of a medical guideline: An analysis of drug-eluting stents in Germany and Italy.

We investigated the role of spillover effects among hospitals in the diffusion of drug-eluting stents (DES) in Germany and Italy during a period in which the relevant medical guideline clearly recommended their use over bare-metal stents. We used administrative data of hospitalized patients treated with ST-elevation myocardial infarction from 2012 to 2016 to estimate spatial panel models allowing for global spillover effects. We used an inverse-distance weights matrix to capture the geographical proximity between neighboring hospitals and assigned a lower weight to more distant neighbors. For both countries, we found significant positive spatial autocorrelation in most years based on the global Moran's I test, and a significant, positive spatial lag parameter across model specifications, indicating positive spillover effects among neighboring hospitals. We found that private for-profit hospital ownership and hospital competition in Germany and the number of inpatient cases with circulatory system diseases in Italy were other significant determinants of DES adoption. Our results underline the importance of spillover effects among peers for the diffusion of medical devices even in the presence of a positive guideline recommendation. Policymakers might therefore consider promoting various forms of exchange and collaboration among medical staff and hospitals to ensure the appropriate use of medical technologies.

Variation in the utilization of medical devices across Germany, Italy, and the Netherlands: A multilevel approach.

Variation in healthcare utilization has been discussed extensively, with many studies showing that variation exists, but fewer studies investigating the underlying factors. In our study, we used a logistic multilevel-model at the patient, hospital, and regional levels to investigate (i) the levels to which variation could be attributed and (ii) the hospital and regional factors associated with treatment decisions. To do so, we used hospital discharge records for the years 2012-2016 in Germany and Italy and for 2014-2016 in the Netherlands combined with hospital and regional characteristics in nine case studies. We used a theoretical framework to categorize these case studies into effective, preference-sensitive, and supply-sensitive care. Our results suggest that most variation in the treatment decision can be attributed to the hospital level (e.g., case volume), whereas only a minor part is explained by regional characteristics. Italy had the highest share attributable to the regional level, whereas the Netherlands had the lowest. We observed less variation for procedures in the effective-care category compared to the preference- and supply-sensitive categories. Although our results were heterogeneous, we identified patterns in line with the theoretical framework for treatment categories, underlining the need to address variation differently depending on the category in question.

Preferences of psychotherapists for blended care in Germany: a discrete choice experiment.

OBJECTIVES: Digital treatment formats are emerging within mental health care. Evidence suggests that mental health care providers and recipients prefer a combination of digital and traditional elements within psychotherapy treatment formats, also called blended care (BC), over standalone digital formats. We examined the attitudes and preferences of licensed psychotherapists in Germany regarding such BC applications. METHODS: We fielded a survey among psychotherapists, including questions about attitudes, previous experiences, and expectations regarding BC, as well as a discrete choice experiment. Attributes for the experiment were developed using a stepwise qualitative approach. A Bayesian D-efficient design was used to generate the choice tasks. The choice data were analyzed by applying mixed logit models. RESULTS: The survey was completed by 200 psychotherapists. Attitudes towards BC were mainly positive, with strong reported intentions to use BC formats. In the choice experiment, recommendation from a professional society for a BC online component was the most important characteristic. Greater effectiveness and a larger share of face-to-face vs. online time were also desired features, while a financial incentive to use BC was less relevant.

[Effectiveness and Ethical Evaluation of Nudging to Promote the Self-Management in Diabetes Mellitus Type 2]. / Wirksamkeit und ethische Bewertung von Nudging-Interventionen zur Förderung des Selbstmanagements bei Diabetes Mellitus Typ 2.

BACKGROUND: Nudges offer a wide range of options for protecting health in everyday life that supplements traditional public health measures. Against this background, we conducted initial investigations on the effectiveness and ethical aspects of different nudges for promoting self-management of patients with diabetes mellitus type 2 in the context of Disease Management Programs (DMPs). METHODS: The ethical assessment of the nudges was done within the systematic framework of Marckmann et al. (2015) for public health ethics. The existing evidence on the effectiveness of nudges was summarised by means of a narrative literature review. RESULTS: Target agreements with implementation plans, reminder, feedback reports, shared appointments of patients with physicians, peer mentoring, and behavior contracts are nudging interventions with moderate interference with personal rights and relatively unproblematic ethical requirements, which have demonstrated effectiveness in different contexts. Default enrollment for patient training courses, involvement of partners, confrontation with social norms, and shocking pictures may be effective as well; however, they interfere more deeply with the freedom and privacy of patients and, therefore, are bound to stronger ethical requirements and restrictions. The evidence base is still insufficient, especially for social support measures by relatives and peers. CONCLUSIONS: Nudging offers a wide range of targeted interventions for supporting self-management of patients with chronic diseases, the potential of which has not yet been fully realized. Particularly promising interventions should be tested in pilot studies for their acceptance, effectiveness and cost-effectiveness in the context of DMPs.

Blood donation in times of crisis: Early insight into the impact of COVID-19 on blood donors and their motivation to donate across European countries.

BACKGROUND: In this survey, we aimed to provide early insight into the impact of COVID-19 on blood donors and their motivation to donate during the crisis. STUDY DESIGN AND METHODS: We asked representative samples in 7 European countries (Denmark, France, Germany, Italy, Portugal, the Netherlands and the UK) about their blood donation activity and motivation to donate using an online survey. We analysed donor turnout during the COVID-19 period descriptively and using logistic regression. RESULTS: Of the 7122 people that responded to the survey, 1205 (16·9%) blood donors were identified, with 33·8% donating during the first 4-5 months of the COVID-19 period. We observed that around half of donors donated less than normal. The vast majority of donors that did donate made a special effort to do so in response to COVID-19. The majority of donors were also not aware of their blood being tested for COVID-19 antibodies. Although the perceived risk of infection among all respondents whilst donating blood was relatively low, those who anticipated a high risk of infection were much less likely to donate (OR = 0·540; P-value = 0·006). Furthermore, those that were adherent to COVID guidelines were also less likely to donate (OR = 0·583; P-value = 0·000). DISCUSSION: We suggest that blood collection services consider specialist campaigns that focus on the altruistic motivation of donors during the crisis and that they continue to communicate the additional safety measures in place with the aim of reducing the fear of infection whilst donating blood.

Preferences for e-Mental Health Interventions in Germany: A Discrete Choice Experiment.

OBJECTIVES: Recent evidence suggests that e-mental health interventions can be effective at improving mental health but that there is still a notable hesitation among patients to use them. Previous research has revealed that they are perceived by patients as being less helpful than face-to-face psychotherapy. The reasons for this unfavorable perception are, however, not yet well understood. The aim of our study was to address this question by eliciting preferences for individual components of e-mental health interventions in a discrete choice experiment. METHODS: Using a stepwise qualitative approach, we developed the following 5 attributes of eMHIs: introductory training, human contact, peer support, proven effectiveness, content delivery, and price. Additionally, we asked questions about respondents' demographics, attitudes, and previous experience of traditional psychotherapy, as well as their distress level. RESULTS: A total of 1984 respondents completed the survey. Using mixed logit models, we found that personal contact with a psychotherapist in blended care, proven effectiveness, and low price were highly valued by participants. Participants were indifferent toward the mode of content delivery but showed a slight preference for introductory training via phone, as well as for peer support via online forum alongside coach-led group meetings on site. DISCUSSION: Our results suggest a clear preference for blended care that includes face-to-face contact with a psychotherapist. This preference remained stable irrespective of sociodemographics, previous experience of psychotherapy, distress level, and the 2 context scenarios used in our discrete choice experiment. Further investigations looking at the potential benefits and risks of blended care are needed.

Investigating the link between medical urgency and hospital efficiency - Insights from the German hospital market.

With hospital budgets remaining tight and healthcare expenditure rising due to demographic change and advances in technology, hospitals continue to face calls to contain costs and allocate their resources more efficiently. In this context, efficiency has emerged as an increasingly important way for hospitals to withstand competitive pressures in the hospital market. Doing so, however, can be challenging given unpredictable fluctuations in demand, a prime example of which are emergencies, i.e. urgent medical cases. The link between medical urgency and hospitals' efficiency, however, has been neglected in the literature to date. This study therefore aims to investigate the relationship between hospitals' urgency characteristics and their efficiency. Our analyses are based on 4094 observations from 1428 hospitals throughout Germany for the years 2015, 2016, and 2017. We calculate an average urgency score for each hospital based on all cases treated in that hospital per year and also investigate the within-hospital dispersion of medical urgency. To analyze the association of these urgency measures with hospitals' efficiency we use a two-stage double bootstrap data envelopment analysis approach with truncated regression. We find a negative relationship between the urgency score and hospital efficiency. When testing for non-linear effects, the results reveal a u-shaped association, indicating that having either a high or low overall urgency score is beneficial in terms of efficiency. Finally, our results reveal that higher within-hospital urgency dispersion is negatively related to efficiency.

Once is rarely enough: can social prescribing facilitate adherence to non-clinical community and voluntary sector health services? Empirical evidence from Germany.

BACKGROUND: Non-clinical health interventions provided by the voluntary and community sector can improve patients' health and well-being and reduce pressure on primary and secondary care, but only if patients adhere to them. This study provides novel insights into the impact of doctor referrals to such services, known as social prescribing, on patients' adherence to them. METHODS: Using a negative binomial model, we analysed electronic visitor records from a community health advice and navigation service in Germany between January 2018 and December 2019 to determine whether social prescribing was associated with greater adherence to the service (measured in terms of return visits) compared to patients who self-referred. We also explored whether this effect differed according to patient characteristics. RESULTS: Based on 1734 observations, we found that social prescribing was significantly associated with a greater number of return visits compared to patient self-referrals (p < 0.05). For patients who visited the service because of psychological concerns, the effect of social prescribing was lower. For all other patient characteristics, the effect remained unchanged, suggesting relevance to all other patient groups. CONCLUSIONS: The results of our study indicate that social prescribing may be an effective way to facilitate adherence to non-clinical community and voluntary sector health services. This knowledge is important for policy makers who are deciding whether to implement or expand upon social prescribing schemes.

Classification of hospital admissions into emergency and elective care: a machine learning approach.

Rising admissions from emergency departments (EDs) to hospitals are a primary concern for many healthcare systems. The issue of how to differentiate urgent admissions from non-urgent or even elective admissions is crucial. We aim to develop a model for classifying inpatient admissions based on a patient's primary diagnosis as either emergency care or elective care and predicting urgency as a numerical value. We use supervised machine learning techniques and train the model with physician-expert judgments. Our model is accurate (96%) and has a high area under the ROC curve (>.99). We provide the first comprehensive classification and urgency categorization for inpatient emergency and elective care. This model assigns urgency values to every relevant diagnosis in the ICD catalog, and these values are easily applicable to existing hospital data. Our findings may provide a basis for policy makers to create incentives for hospitals to reduce the number of inappropriate ED admissions.

Efficiency of physician specialist groups.

This is the first study to use stochastic frontier analysis to simultaneously estimate the technical, cost and profit efficiency of physician practices for different physician specialist groups. We base our analysis on a unique panel data set of 4964 physician practices in Germany for the years 2008 to 2010. The data contains information on practice costs and revenues, services provided, as well as physician characteristics and practice characteristics. Additionally we consider a wide range additional variables not previously analyzed in this context (e.g. sub-specialization of physician groups and environmental factors such as physician density in the area). We investigate differences in cost, technical and profit efficiency utilizing production-/cost- and profit-functions with a translog functional form. We estimated the stochastic frontier using the comprehensive one-step approach for panel data following Battese and Coelli (Empir Econ 20(2): 325-332, 10). Overall findings indicate that participation in disease management programs and the degree of specialization are associated with significantly higher technical- cost-, and profit-efficiency for most physician specialist groups, e.g. due to the standardization of processes. In addition, our analyses show that group practices perform significantly better than single practices. This may be due to indivisibilities in expensive technical equipment, which can lead to different health care services being provided by different practice types. A more thorough look at specialist groups suggests that it is important to investigate all efficiency types for different physician groups, as results may depend on the type of efficiency analyzed as well as the physician group in question.

Profit efficiency of physician practices: a stochastic frontier approach using panel data.

While determinants of efficiency have been the subject of a large number of studies in the inpatient sector, relatively little is known about factors influencing efficiency of physician practices in the outpatient sector. With our study, we provide the first paper to estimate physician practice profit efficiency and its' determinants. We base our analysis on a unique panel data set of 4964 physician practices for the years 2008 to 2010. The data contains information on practice costs and revenues, services provided, as well as physician and practice characteristics. We specify the profit function of the physician practice as a translog functional form. We estimated the stochastic frontier using the comprehensive one-step approach for panel data of Battese and Coelli (1995). For estimation of the profit function, we regressed yearly profit on several inputs, outputs and input/output price relationships, while we controlled for a range of control variables such as patients' case-mix or share of patients covered by statutory health insurance. We find that participation in disease management programs and the degree of physician practice specialization are associated with significantly higher profit efficiency. In addition, our analyses show that group practices perform significantly better than single practices.

[Barriers to Digitalisation of Healthcare in Germany: A Survey of Experts]. / Hürden bei der Digitalisierung der Medizin in Deutschland ­ eine Expertenbefragung.

BACKGROUND: Digital health is a growing area in healthcare with a huge potential. Nevertheless, the degree of digitalization in German healthcare is low when compared internationally and with other German industries. Despite political efforts, certain barriers seem to strongly impede the process of digitalization process in healthcare. METHOD: We surveyed 18 representative healthcare experts from various sectors with semi-structured interviews on barriers and solutions for digital health. Thematic analysis by Braun and Clarke was used for interpretation. RESULTS: The interviewees identified barriers that were stakeholder-specific and across stakeholders. Self-regulatory bodies and the medical profession were found to lack willingness and organizational structure for digitalization. Lack of evidence and missing interoperability represented primary obstacles, while current legislation and financial regulations were rarely mentioned. In particular, infrastructure expansion and interoperability would require a coordinated, state intervention. Positive communication on possibilities and benefits of digital solutions was also considered important. CONCLUSION: A strong political will, an overarching strategy accompanied by a communication concept seems to be necessary in order for digital health to succeed. Regarding legislation, binding specifications, deadlines and sanctions may be needed for self-regulatory bodies, while also involving users in the development process at an early stage and creating positive incentives for using digital solutions.

Job demands, job resources, and behavior in times of sickness: An analysis across German nursing homes.

BACKGROUND: The concept of presenteeism, that is, employees coming to work despite being sick, has recently received more attention in the literature. Presenteeism not only threatens employees' health but also substantially drains productivity and drives considerable costs. When they are sick, employees have the choice of whether to go to work or to stay at home. Therefore, determinants of (sickness) absenteeism and presenteeism should be examined simultaneously. Nursing homes are faced with a particularly high prevalence of both absenteeism and presenteeism and are therefore a relevant object of investigation. PURPOSE: The aim of our study is to analyze the effect of job demands and job resources on absenteeism, presenteeism, and the tendency to choose one behavior (being absent or being present in times of sickness) rather than the other over the last 12 months. To do so, we identify the determinants of absenteeism and/or presenteeism behavior based on theory and existing research about absenteeism, presenteeism, and job demands and job resources. After our empirical analysis, we provide explanations for our findings and offer practical suggestions for how to decrease the frequencies of absenteeism and presenteeism. METHODOLOGY: In this study, a sample of 212 nurses from German nursing homes was used for an ordinal logistic regression analysis. RESULTS: Our results show that role overload significantly increases the frequencies of both absenteeism and presenteeism. A good team climate decreases absenteeism and increases the tendency to choose presenteeism rather than absenteeism, whereas strategic training and development opportunities decrease presenteeism and increase the tendency to choose absenteeism rather than presenteeism.

The Role of Learning in Health Technology Assessments: An Empirical Assessment of Endovascular Aneurysm Repairs in German Hospitals.

Changes in performance due to learning may dynamically influence the results of a technology evaluation through the change in effectiveness and costs. In this study, we estimate the effect of learning using the example of two minimally invasive treatments of abdominal aortic aneurysms: endovascular aneurysm repair (EVAR) and fenestrated EVAR (fEVAR). The analysis is based on the administrative data of over 40,000 patients admitted with unruptured abdominal aortic aneurysm to more than 500 different hospitals over the years 2006 to 2013. We examine two patient outcomes, namely, in-hospital mortality and length of stay using hierarchical regression models with random effects at the hospital level. The estimated models control for patient and hospital characteristics and take learning interdependency between EVAR and fEVAR into account. In case of EVAR, we observe a significant decrease both in the in-hospital mortality and length of stay with experience accumulated at the hospital level; however, the learning curve for fEVAR in both outcomes is effectively flat. To foster the consideration of learning in health technology assessments of medical devices, a general framework for estimating learning effects is derived from the analysis. © 2017 The Authors. Health Economics published by John Wiley & Sons, Ltd.

Adoption Decisions for Medical Devices in the Field of Cardiology: Results from a European Survey.

Decisions to adopt medical devices at the hospital level have consequences for health technology assessment (HTA) on system level and are therefore important to decision makers. Our aim was to investigate the characteristics of organizations and individuals that are more inclined to adopt and utilize cardiovascular devices based on a comprehensive analysis of environmental, organizational, individual, and technological factors and to identify corresponding implications for HTA. Seven random intercept hurdle models were estimated using the data obtained from 1249 surveys completed by members of the European Society of Cardiology. The major findings were that better manufacturer support increased the adoption probability of 'new' devices (i.e. in terms of CE mark approval dates), and that budget pressure increased the adoption probability of 'old' devices. Based on our findings, we suggest investigating the role of manufacturer support in more detail to identify diffusion patterns relevant to HTA on system level, to verify whether it functions as a substitute for medical evidence of new devices, and to receive new insights about its relationship with clinical effectiveness and cost-effectiveness. © 2017 The Authors. Health Economics published by John Wiley & Sons, Ltd.

Using nonparametric conditional approach to integrate quality into efficiency analysis: empirical evidence from cardiology departments.

Health care providers are under pressure to improve both efficiency and quality. The two objectives are not always mutually consistent, because achieving higher levels of quality may require additional resources. The aim of this study is to demonstrate how the nonparametric conditional approach can be used to integrate quality into the analysis of efficiency and to investigate the mechanisms through which quality enters the production process. Additionally, we explain how the conditional approach relates to other nonparametric methods that allow integrating quality into efficiency analysis and provide guidance on the selection of an appropriate methodology. We use data from 178 departments of interventional cardiology and consider three different measures of quality: patient satisfaction, standardized mortality ratio, and patient radiation exposure. Our results refute the existence of a clear trade-off between efficiency and quality. In fact, the impact of quality on the production process differs according to the utilized quality measure. Patient satisfaction does not affect the attainable frontier but does have an inverted U-shaped effect on the distribution of inefficiencies; mortality ratio negatively impacts the attainable frontier when the observed mortality more than doubles the predicted mortality; and patient radiation exposure is not associated with the production process.

Comparing the Efficiency of Hospitals in Italy and Germany: Nonparametric Conditional Approach Based on Partial Frontier.

Traditional nonparametric frontier techniques to measure hospital efficiency have been criticized for their deterministic nature and the inability to incorporate external factors into the analysis. Moreover, efficiency estimates represent a relative measure meaning that the implications from a hospital efficiency analysis based on a single-country dataset are limited by the availability of suitable benchmarks. Our first objective is to demonstrate the application of advanced nonparametric methods that overcome the limitations of the traditional nonparametric frontier techniques. Our second objective is to provide guidance on how an international comparison of hospital efficiency can be conducted using the example of two countries: Italy and Germany. We rely on a partial frontier of order-m to obtain efficiency estimates robust to outliers and extreme values. We use the conditional approach to incorporate hospital and regional characteristics into the estimation of efficiency. The obtained conditional efficiency estimates may deviate from the traditional unconditional efficiency estimates, which do not account for the potential influence of operational environment on the production possibilities. We nonparametrically regress the ratios of conditional to unconditional efficiency estimates to examine the relation of hospital and regional characteristics with the efficiency performance. We show that the two countries can be compared against a common frontier when the challenges of international data compatibility are successfully overcome. The results indicate that there are significant differences in the production possibilities of Italian and German hospitals. Moreover, hospital characteristics, particularly bed-size category, ownership status, and specialization, are significantly related to differences in efficiency performance across the analyzed hospitals.