36 results match your criteria: "Erasmus School of Health Policy and Management (ESHPM)[Affiliation]"

What is the relationship between risk attitudes and ambient temperature? Evidence from a large population-based cohort study.

Econ Hum Biol

December 2024

Department of Business Administration and Healthcare Management, University of Cologne, Germany; Erasmus School of Health Policy and Management (ESHPM), Erasmus University Rotterdam, Netherlands.

Rising temperatures affect human behavior and risk-taking in several domains. However, it is not yet well understood just how ambient temperature shapes risk attitudes. Using data from the large population-based KORA-Fit study (Cooperative Health Research in the Region of Augsburg) of older people (N=2454), we identify a statistically significant, but very small, positive association between short-term ambient temperature changes and individuals' general willingness to take risks.

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Adverse selection and consumer inertia: empirical evidence from the Dutch health insurance market.

Eur J Health Econ

October 2024

Erasmus Centre for Health Economics Rotterdam (EsCHER), Erasmus University Rotterdam, Erasmus School of Health Policy and Management (ESHPM), Rotterdam, The Netherlands.

This paper examines to what extent consumer inertia can reduce adverse selection in health insurance markets. To this end, we investigate consumer choice of deductible in the Dutch health insurance market over the period 2013-2018, using panel data based on a large random sample (266 k) of all insured individuals in the Netherlands. The Dutch health insurance market offers a unique setting for studying adverse selection, because during annual open enrollment periods all adults are free to choose an extra deductible up to 500 euro per year.

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This study aimed to evaluate the association between Quality of Life (QOL) and independent factors, emphasizing Socio Economic Status (SES) in northwestern Iran. A population-based cross-sectional study was performed within the Persian Traffic safety and health Cohort in 2020. Participants were chosen using stratified random sampling method.

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Market Entry Agreements for Innovative Pharmaceuticals Subject to Indication Broadening: A Case Study for Pembrolizumab in The Netherlands.

Value Health

October 2024

Erasmus School of Health Policy and Management (ESHPM), Erasmus University Rotterdam, Rotterdam, The Netherlands; Erasmus Center for Health Economics Rotterdam (EsCHER), Erasmus University Rotterdam, Rotterdam, The Netherlands.

Objectives: Managed entry agreements and especially financial-based agreements are commonly used in European countries for innovative cancer pharmaceuticals. These agreements facilitate access to innovative treatments while mitigating financial risks for payers. This study focuses on the confidential price agreement made by the Dutch government for the reimbursement of pembrolizumab, the implications of broadening indications on cost-effectiveness, and the viability or desirability of said agreement.

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Background And Objective: Heart failure (HF) is a complex clinical syndrome with high mortality and hospitalization rates. Non-invasive remote patient monitoring (RPM) interventions have the potential to prevent disease worsening. However, the long-term cost-effectiveness of RPM remains unclear.

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Aims: Remote haemodynamic monitoring with an implantable pulmonary artery (PA) sensor has been shown to reduce heart failure (HF) hospitalizations and improve quality of life. Cost-effectiveness analyses studying the value of remote haemodynamic monitoring in a European healthcare system with a contemporary standard care group are lacking.

Methods And Results: A Markov model was developed to estimate the cost-effectiveness of PA-guided therapy compared to the standard of care based upon patient-level data of the MONITOR-HF trial performed in the Netherlands in patients with chronic HF (New York Heart Association class III and at least one previous HF hospitalization).

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Background: Expanding the indication of already approved immuno-oncology drugs presents treatment opportunities for patients but also strains healthcare systems. Cost-based pricing models are discussed as a possibility for cost containment. This study focuses on two drugs, pembrolizumab (Keytruda) and daratumumab (Darzalex), to explore the potential effect of indication broadening on the estimated price when using the cost-based pricing (CBP) model proposed by Uyl-de Groot and Löwenberg (2018).

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In this study, we utilized data from the Surveillance, Epidemiology, and End Results (SEER) database to predict the glioblastoma patients' survival outcomes. To assess dataset skewness and detect feature importance, we applied Pearson's second coefficient test of skewness and the Ordinary Least Squares method, respectively. Using two sampling strategies, holdout and five-fold cross-validation, we developed five machine learning (ML) models alongside a feed-forward deep neural network (DNN) for the multiclass classification and regression prediction of glioblastoma patient survival.

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Design and development of a digital intervention for workplace stress and mental health (EMPOWER).

Internet Interv

December 2023

Research, Innovation and Teaching Unit, Parc Sanitari Sant Joan de Déu, CIBERSAM, Sant Boi de Llobregat, Spain.

Purpose: We describe the design and development of the European Platform to Promote health and wellbeing in the workplace (EMPOWER) digital intervention that provides an integrative user programme meeting the needs of employees and employers in addressing work stress.

Results: A user-centred design process was followed from January 2020 until November 2021. A tailored algorithm was developed to provide support at the individual employee level and the company level.

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Health poverty among people with type 2 diabetes mellitus (T2DM) in Malaysia.

Soc Sci Med

January 2024

Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.

In the context of the escalating burden of diabetes in low and middle-income countries (LMICs), there is a pressing concern about the widening disparities in care and outcomes across socioeconomic groups. This paper estimates health poverty measures among individuals with type 2 diabetes mellitus (T2DM) in Malaysia. Using data from the National Diabetes Registry between 2009 and 2018, the study linked 932,855 people with T2DM aged 40-75 to death records.

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Purpose: This study aimed to implement the Quality of Care (QoC) Assessment Tool from the National Spinal Cord/Column Injury Registry of Iran (NSCIR-IR) to map the current state of in-hospital QoC of individuals with Traumatic Spinal Column and Cord Injuries (TSCCI).

Methods: The QoC Assessment Tool, developed from a scoping review of the literature, was implemented in NSCIR-IR. We collected the required data from two primary sources.

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Bismarckian health systems are mainly governed by social health insurers, but their role, status, and power vary across countries and over time. We compare the role of health insurers in three distinct social health insurance systems in improving health systems' efficiency. In France, insurers work together as a single payer within a highly regulated context.

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Composite time trade-off (cTTO) utilities have been found to be higher when adults value health states for children than for themselves. It is not clear if these differences reflect adults assigning truly higher utilities to the same health state in different perspectives, or if they are caused by other factors, which are not accounted for in the valuation procedure. We test if the difference between children's and adults' cTTO valuations changes if a longer duration than the standard 10 years is used.

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An experimental investigation of social risk preferences for health.

Theory Decis

April 2023

Tilburg School of Economics and Management, Tilburg University, Tilburg, The Netherlands.

Unlabelled: In this paper, we use the risk apportionment technique of Eeckhoudt, Rey and Schlesinger (2007) to study higher order risk preferences for others' health as well as ex-ante and ex-post inequality preferences for social risky distributions, and their interaction. In an experiment on a sample of university students acting as impartial spectators, we observe risk aversion towards social health losses and a dislike of ex-ante inequality. In addition, evidence for ex-post inequality seeking is much weaker than evidence for ex-ante inequality aversion.

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Socio-economic accounting of inequalities in excess weight: a population-based analysis.

BMC Public Health

April 2023

Centre for Economics of Obesity, Institute of Applied Health Research, University of Birmingham, Birmingham, UK.

Background: The prevalence of excess weight has been increasing globally in the last decades, affecting disproportionally adults from low socio-economic backgrounds and putting undue pressure on health systems and societal resources. In England, tackling unfair and unjust health inequalities is at the heart of national public health policy, and a prerequisite for enabling these decision makers to set policy priorities is an understanding of the prevalence and determinants of excess weight inequalities in their local population.

Methods: We conducted both pooled (England) and regional-level (nine regions: North-East, North-West, Yorkshire and Humber, East Midlands, West Midlands, East of England, London, South East and South West) analyses of individual level data from a nationally representative sample of adults (N = 6,387).

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The Value of Health in a Cost-Effectiveness Analysis: Theory Versus Practice.

Pharmacoeconomics

June 2023

Erasmus School of Health Policy and Management (ESHPM), Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands.

A cost-effectiveness analysis has become an important method to inform allocation decisions and reimbursement of new technologies in healthcare. A cost-effectiveness analysis requires a threshold to which the cost effectiveness of a new intervention can be compared. In principle, the threshold ought to reflect opportunity costs of reimbursing a new technology.

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Introduction: Chronic heart failure (HF) is characterized by high hospital admission rates. The CardioMEMS HF System is a pulmonary artery pressure sensor developed for remote hemodynamic monitoring to reduce HF hospitalizations. The device is FDA approved and CE marked, but clinical evidence for the CardioMEMS system is mainly based upon U.

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Mental health problems in the workplace are common and have a considerable impact on employee wellbeing and productivity. Mental ill-health costs employers between £33 billion and £42 billion a year. According to a 2020 HSE report, roughly 2,440 per 100,000 workers in the UK were affected by work-related stress, depression, or anxiety, resulting in an estimated 17.

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Introducing Peer-supported Open Dialogue in changing mental health care.

Front Psychol

January 2023

Tranzo, Tilburg School of Social and Behavioral Sciences, Tilburg University, Tilburg, Netherlands.

The need to transform mental health care toward person-centered, recovery-based, and network-oriented care is recognized worldwide. Open Dialogue (OD) is seen as a hopeful approach in the context of this transformation and is introduced in countries around the globe. Five Dutch mental health care organizations spread over the Netherlands introduced the Peer-supported Open Dialogue (POD) approach, which adds an explicit role of peer-support workers to the OD approach.

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Application of machine learning techniques for predicting survival in ovarian cancer.

BMC Med Inform Decis Mak

December 2022

Center for Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense, Denmark.

Article Synopsis
  • Ovarian cancer is a significant health issue for women, ranking as the fifth leading cause of cancer-related deaths in the U.S., often referred to as the "forgotten cancer" due to its subtle symptoms and late diagnosis.
  • A dataset of ovarian cancer patients was analyzed using various statistical methods and six different machine learning models (like Random Forest and XGBoost) to predict patient survival based on key factors such as tumor stage and age at diagnosis.
  • The study found that Random Forest and XGBoost provided the best predictive accuracy, and important survival factors were identified using SHAP analysis, which helps explain how these models make predictions.
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This article describes the EMPOWER study, a controlled trial aiming to determine the effectiveness and cost-effectiveness of an eHealth intervention to prevent common health problems and reduce presenteeism and absenteeism in the workplace. The EMPOWER intervention spans universal, secondary and tertiary prevention and consists of an eHealth platform delivered via a website and a smartphone app designed to guide employees throughout different modules according to their specific profiles. A stepped-wedge cluster randomized trial will be implemented in four countries (Finland, Poland, Spain and UK) with employees from small and medium enterprises (SMEs) and public agencies.

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Background Aims: Drug prices are regarded as one of the most influential factors in determining accessibility and affordability to novel therapies. Cell and gene therapies such as OTL-200 (brand name: Libmeldy) and AVXS-101 (brand name: Zolgensma) with (expected) list prices of 3.0 million EUR and 1.

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When healthcare interventions prolong life, people consume medical and non-medical goods during the years of life they gain. It has been argued that the costs for medical consumption should be included in cost-effectiveness analyses from both a healthcare and societal perspective, and the costs for non-medical consumption should additionally be included when a societal perspective is applied. Standardized estimates of these so-called future costs are available in only a few countries and the impact of inclusion of these costs is likely to differ between countries.

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Performance of the EQ-5D-5L Plus Respiratory Bolt-On in the Birmingham Chronic Obstructive Pulmonary Disease Cohort Study.

Value Health

November 2021

Institute for Medical Technology Assessment (IMTA), Erasmus University Rotterdam, Rotterdam, The Netherlands; Erasmus School of Health Policy and Management (ESHPM), Erasmus University Rotterdam, Rotterdam, The Netherlands.

Objectives: A respiratory bolt-on dimension for the EQ-5D-5L has recently been developed and valued by the general public. This study aimed to validate the EQ-5D-5L plus respiratory dimension (EQ-5D-5L+R) in a large group of patients with chronic obstructive pulmonary disease (COPD).

Methods: Validation was undertaken with data from the Birmingham COPD Cohort Study, a longitudinal UK study of COPD primary care patients.

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