Showing papers in "Value in Health in 2022"

TL;DR: The Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement as mentioned in this paper was created to ensure health economic evaluations are identifiable, interpretable, and useful for decision making, and was intended as guidance to help authors report accurately which health interventions were being compared and in what context, how the evaluation was undertaken, what the findings were, and other details that may aid readers and reviewers in interpretation and use of the study.

TL;DR: The Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement, published in 2013, was created to ensure health economic evaluations are identifiable, interpretable, and useful for decision making as mentioned in this paper .

TL;DR: The use of 1 to 3× gross domestic product (GDP) per capita was the most common type of threshold used in CEA as discussed by the authors , and approximately a third of studies (34.2%) applied a threshold at 3× GDP per capita.

TL;DR: The EuroQol Group published the EQ-5D-Y valuation protocol that recommends two valuation techniques to elicit preferences: composite time trade-off (C-TTO) and discrete choice experiments (DCEs) as mentioned in this paper .

TL;DR: The EQ-HWB (EQ Health and Wellbeing) as mentioned in this paper is a measure that encompasses health and wellbeing, which is used for evaluating interventions in health, public health, and social care.

TL;DR: In this paper , a cross-sectional survey using EuroQol Group valuation technology was undertaken in a representative sample of 3548 adult respondents, selected from 5 different states of India using a multistage stratified random sampling technique.

TL;DR: In this paper , the authors investigate the general population's view on artificial intelligence (AI) in medicine with specific emphasis on three areas that have experienced major progress in AI research in the past few years, namely radiology, robotic surgery, and dermatology.

TL;DR: In this paper , the authors explored the psychometric performance of candidate items, testing their validity in patients, social carer users, and carers, and found that items performed well in classical psychometric testing and IRT.

TL;DR: The authors examined the reasons underlying differences in adults' health-state preferences for themselves, a 10-year-old child, and a 15-year old adolescent and found that the differences largely result from differences in thoughts about nonhealth-related factors.

TL;DR: Wang et al. as mentioned in this paper evaluated the impact of URRBMI integration on benefit and its contribution to benefit equity, and provided novel evidence of enhanced benefits and benefit equity for outpatient care.

TL;DR: In this article , the authors investigated the reasons why child health states are valued differently from adult health states and found that adults consistently report higher utility values for child health state compared to children.

TL;DR: In this paper , a systematic review and meta-analysis on studies investigating the association of HRQOL and financial toxicity measured with the Comprehensive Score for Financial Toxicity in patients with cancer and survivors was performed.

TL;DR: A systematic review of the literature in discrete choice experiments (DCEs) in health was conducted by as discussed by the authors , with the goal of determining the state of practice in accounting for preference heterogeneity in the analysis of health-related DCEs.

TL;DR: In this paper , the authors evaluated the cost-effectiveness of remdesivir in patients hospitalized with COVID-19 from a US healthcare sector perspective and identified key drivers of value to guide future pricing and reimbursement efforts.

TL;DR: In this paper , the authors identified five methodological areas where ML could enhance HEOR: (1) cohort selection, identifying samples with greater specificity with respect to inclusion criteria; (2) identification of independent predictors and covariates of health outcomes, including those that are high cost or life threatening; (3) causal inference through methods, such as targeted maximum likelihood estimation or double-debiased estimation; and (4) application of ML to the development of economic models to reduce structural, parameter and sampling uncertainty in cost-effectiveness analysis.

TL;DR: A systematic literature search identified economic evaluations of noninvasive remote patient monitoring (RPM) for chronic diseases compared with usual care as mentioned in this paper , which was found to be highly cost effective for hypertension and may be cost-effective for heart failure and chronic obstructive pulmonary disease.

TL;DR: In this paper , the authors proposed a life-cycle health technology assessment (LC-HTA) framework to support decisions that involve significant uncertainty and encourage continued generation of and adaptation to new evidence.

TL;DR: In this article , the effectiveness of virtual reality (VR) in managing different types of pain in different age groups and to provide evidence for the clinical application of new alternative strategy for pain management was evaluated.

TL;DR: In this paper , the authors used an existing broad value framework to assess potential ways AI can provide good value for money and developed a rubric of how economic evaluations of AI should vary depending on the case of its use.

TL;DR: In this paper , the authors estimate the QALYs lost in The Netherlands as a result of deaths because of COVID-19 in 2020, which is a function of age and the health condition of the deceased patient at time of death.

TL;DR: The ISPOR Special Task Force on US Value Assessments (ISPOR value flower) has been discussed and debated extensively as mentioned in this paper , with its petals highlighting elements that may be overlooked or underappreciated in conventional drug value assessments.

TL;DR: In this paper , the authors describe the healthcare resource utilization of patients with COVID-19 from hospital visit to 30 days after discharge for inpatients and hospital-based outpatients in the United States.

TL;DR: A "living" systematic review of economic evaluations of diagnostic tests and treatments for COVID-19, critically appraising the methodological approaches used and reporting cost-effectiveness estimates, using a 'living' systematic review approach, is presented in this paper .

TL;DR: A systematic literature review was conducted in two databases (PubMed and Scopus) for articles published in the last 5 years as discussed by the authors , which aimed to systematically review recent health economic evaluations (HEEs) of artificial intelligence (AI) applications in healthcare.

TL;DR: In this paper , the authors present a blueprint for the implementation of value-based healthcare (VBHC) in hospitals, based on their experience as members of the European University Hospital Alliance.

TL;DR: In this article , a virtual advisory board comprising 7 international experts with in-depth knowledge of survival analysis and health technology assessment was held in summer 2021, where the experts discussed 24 questions across 6 topics: the current survival model selection procedure, data maturity, heterogeneity of treatment effect, cure and mortality, external evidence, and additions to existing guidelines.

TL;DR: This article conducted a systematic review of economic evaluations of COVID-19-related interventions and examined whether and how these studies incorporate non-health impacts and distributional concerns and found that most articles included at least one nonhealth impact, but fewer (21%) incorporated noneconomic consequences.

TL;DR: In this paper , a systematic review of the potential benefits, barriers, current experiences, and future perspectives of different IBP mechanisms was conducted, and the most commonly reported benefits of IBP were a better alignment of medicines' value and price, optimization of research and development incentives and increase of competition, and improvement of patients' access to treatments.

TL;DR: The authors conducted an online DCE with a representative sample of 1000 adults and 1000 adults in the United States and found that there is minimal impact on latent scale values when using different ages of the hypothetical child in the current EQ-5D-Y-3L valuation protocol.

TL;DR: In this paper , the authors analyzed the cost-utility of remote pulse-ox monitoring using a Markov model with a 3-week time horizon and daily cycles from a US health sector perspective.