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Psychometric performance of EQ-5D-5L and SF-6Dv2 in cancer patients
Psychometric performance of EQ-5D-5L and SF-6Dv2 in cancer patients
To evaluate the psychometric properties of EQ-5D-5L and SF-6Dv2 in a group of patients with breast or colorectal cancer. E...
The challenges of integrating diverse data sources: A case study in major depression
The challenges of integrating diverse data sources: A case study in major depression
Combining data from diverse sources including randomized controlled trials (RCTs) and observational datasets holds the pot...
Key factors behind the adoption of a patient-facing technology in primary care: a structured approach to variable importance
Key factors behind the adoption of a patient-facing technology in primary care: a structured approach to variable importance
Technology can augment the interaction between patients and the healthcare system, but its adoption can vary widely across...
A causal framework for evaluating drivers of policy effect heterogeneity using difference-in-differences
A causal framework for evaluating drivers of policy effect heterogeneity using difference-in-differences
Policymakers and researchers often seek to understand how a policy differentially affects a population and the pathways dr...
Difference-in-differences analysis with repeated cross-sectional survey data
Difference-in-differences analysis with repeated cross-sectional survey data
Difference-in-differences (DiD) approach is one of the most widely used approaches for evaluating policy effects. However,...
New unit Lindley mixed model: applications to COVID-19 and child mortality rates under the Bayesian approach
New unit Lindley mixed model: applications to COVID-19 and child mortality rates under the Bayesian approach
Measurements such as rates and proportions are continuous and bounded within the interval (0, 1), and are commonly encount...
Context matters: a DEA and regression-based analysis of efficiency in Austrian public and private non-profit departments for urology
Context matters: a DEA and regression-based analysis of efficiency in Austrian public and private non-profit departments for urology
Healthcare systems face increasing demands and cost pressures, driving a focus on efficiency improvements, particularly in...
Choosing an analytic approach: key study design considerations in state policy evaluation
Choosing an analytic approach: key study design considerations in state policy evaluation
This paper reviews and details methods for state policy evaluation to guide selection of a research approach, based on an ...
Quantifying uncertainty of individualized treatment effects in right-censored survival data: a comparison of Bayesian additive regression trees and causal survival forest
Quantifying uncertainty of individualized treatment effects in right-censored survival data: a comparison of Bayesian additive regression trees and causal survival forest
Estimation of individualized treatment effects (ITE), also known as conditional average treatment effects (CATE), is an ac...
A semi-supervised clustering approach for prediction and inference with multidimensional longitudinal outcomes
A semi-supervised clustering approach for prediction and inference with multidimensional longitudinal outcomes
Understanding longitudinal patterns of health outcomes and their relations is critical in various clinical contexts. Howev...
Examining the impacts of measurement error in quantifying health disparities: a case study on type-2 diabetes and the food environment
Examining the impacts of measurement error in quantifying health disparities: a case study on type-2 diabetes and the food environment
Disparities in healthy eating relate to disparities in well-being, leading to disproportionate rates of diseases like type...
Enhanced forecasting model for pandemic: hyperparameter optimisation using Q-learning integration
Enhanced forecasting model for pandemic: hyperparameter optimisation using Q-learning integration
The effective management of pandemics relies heavily on timely and accurate forecasts to support policymaking and public h...
Where will patients go? A network simulation of general practitioner closures and patient displacement in Czechia
Where will patients go? A network simulation of general practitioner closures and patient displacement in Czechia
Primary care in Czechia is largely provided by aging general practitioners (GPs), with an average age of 55—one of t...
Gaming the system: evaluating spillover in a video game intervention for advanced care planning using physician social networks
Gaming the system: evaluating spillover in a video game intervention for advanced care planning using physician social networks
Stepped-wedge cluster-randomized trials (SW-CRTs) are increasingly used to evaluate healthcare interventions, yet contamin...
Patient experience measurement in mental health and substance dependence inpatient care: development of short versions of validated questionnaires through importance ranking and psychometric testing
Patient experience measurement in mental health and substance dependence inpatient care: development of short versions of validated questionnaires through importance ranking and psychometric testing
High-quality, patient-centred mental health and substance dependence care relies on robust Patient-Reported Experience Mea...
Modeling the moderation: a comparative application of regression and grey relational analysis in healthcare
Modeling the moderation: a comparative application of regression and grey relational analysis in healthcare
The study attempts to investigate the impact of prosocial motivation and self-efficacy on innovative work behaviour (IWB) ...
Presenteeism propensity as a measure of health-related workplace attendance decisions: a validation study using vignette and survey data
Presenteeism propensity as a measure of health-related workplace attendance decisions: a validation study using vignette and survey data
Sickness presenteeism (SP), defined as working despite being sick, is a complex phenomenon that is influenced by health-re...
Extending peaks-over-threshold methods to public health: modified threshold selection and scenario-based risk estimation
Extending peaks-over-threshold methods to public health: modified threshold selection and scenario-based risk estimation
Rare but extreme events in public health, such as sudden dengue outbreaks or surges in urgent cancer referrals, pose dispr...
Exploring complexity and learning: insights from the DIBH-app project using NASSS-CAT
Exploring complexity and learning: insights from the DIBH-app project using NASSS-CAT
Digital health tools, such as radiotherapy preparation apps, can support person-centred care, though their development is ...
Blockchain-based secure and smart healthcare IoT system using hybrid consensus mechanism with an honest block
Blockchain-based secure and smart healthcare IoT system using hybrid consensus mechanism with an honest block
The healthcare sector is proliferating day by day by smartly securing confidential data and providing access to their rele...
Relationship and factors of technical efficiency and quality of hospital care: the federal state system of Germany
Relationship and factors of technical efficiency and quality of hospital care: the federal state system of Germany
Healthcare is one of the most important segments of the public sector. The health services segment affects every individua...
Osteo fracture identification using deep learning techniques
Osteo fracture identification using deep learning techniques
Fractures of bone represent a prevalent medical issue in human beings. These fractures manifest as a consequence of variou...
Using balancing weights to compare performance across facilities providing family planning services in Kenya
Using balancing weights to compare performance across facilities providing family planning services in Kenya
Assessing the extent to which the quality of family planning (FP) delivery in facilities makes a difference for key outcom...
Combining multiple sources of relationships in a network to advance understanding of physicians’ beliefs regarding peer-effects
Combining multiple sources of relationships in a network to advance understanding of physicians’ beliefs regarding peer-effects
Patient-sharing physician networks are increasingly recognized as valuable tools for examining physician relationships in ...
Hyper tuning hybrid MLP-CatBoost classifier using Mayfly optimization for detection of heart disease
Hyper tuning hybrid MLP-CatBoost classifier using Mayfly optimization for detection of heart disease
Diagnosing heart disease is considered a difficult task as it provides a digital estimation of the seriousness of the dise...
Methodological considerations for optimal variable selection in machine learning for health services research
Methodological considerations for optimal variable selection in machine learning for health services research
Effective variable selection is central to the success of health services research, where large, complex datasets often in...
Propensity score weighting analysis with complex survey data for estimating population-level treatment effects on survival: a simulation study
Propensity score weighting analysis with complex survey data for estimating population-level treatment effects on survival: a simulation study
Propensity score weighting (PSW) is a valuable tool for estimating treatment effects on survival outcomes in observational...
Economic considerations of office-based methadone as an opioid use disorder treatment option: a cost-effectiveness analysis and methodological comparison
Economic considerations of office-based methadone as an opioid use disorder treatment option: a cost-effectiveness analysis and methodological comparison
Optimizing treatment for people with opioid use disorder (OUD) represents a critical priority to ameliorate the ongoing op...
The impact of knowledge of hospitalization on mortality predictions
The impact of knowledge of hospitalization on mortality predictions
Despite the rapid advancement of machine learning algorithms, the important problem of distinguishing patients based on th...
Estimating an intervention’s effects on health care disparities within and between physician organizations: decomposing the effects of health system affiliation
Estimating an intervention’s effects on health care disparities within and between physician organizations: decomposing the effects of health system affiliation
Vertically integrated health systems are expanding across the U.S., but there is no evidence that system-affiliated provid...
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