Clarifying values: an updated and expanded systematic review and meta-analysis
Background Patient decision aids should help people make evidence-informed decisions
aligned with their values. There is limited guidance about how to achieve such alignment …
aligned with their values. There is limited guidance about how to achieve such alignment …
[HTML][HTML] Multi-Criteria Decision Analysis to prioritize hospital admission of patients affected by COVID-19 in low-resource settings with hospital-bed shortage
P De Nardo, E Gentilotti, F Mazzaferri… - International Journal of …, 2020 - Elsevier
Abstract Objective To use Multi-Criteria Decision Analysis (MCDA) to determine weights for
eleven criteria in order to prioritize COVID-19 non-critical patients for admission to hospital …
eleven criteria in order to prioritize COVID-19 non-critical patients for admission to hospital …
A novel multi-perspective benchmarking framework for selecting image dehazing intelligent algorithms based on BWM and group VIKOR techniques
The increasing demand for image dehazing-based applications has raised the value of
efficient evaluation and benchmarking for image dehazing algorithms. Several perspectives …
efficient evaluation and benchmarking for image dehazing algorithms. Several perspectives …
[HTML][HTML] Identifying the need for good practices in health technology assessment: summary of the ISPOR HTA Council Working Group Report on Good Practices in …
FB Kristensen, D Husereau, M Huić, M Drummond… - Value in health, 2019 - Elsevier
The systematic use of evidence to inform healthcare decisions, particularly health
technology assessment (HTA), has gained increased recognition. HTA has become a …
technology assessment (HTA), has gained increased recognition. HTA has become a …
[HTML][HTML] Challenges in research and health technology assessment of rare disease technologies: report of the ISPOR rare disease special interest group
S Nestler-Parr, D Korchagina, M Toumi, CL Pashos… - Value in Health, 2018 - Elsevier
Background Successful development of new treatments for rare diseases (RDs) and their
sustainable patient access require overcoming a series of challenges related to research …
sustainable patient access require overcoming a series of challenges related to research …
[HTML][HTML] Comparative analysis of five widely-used multi-criteria decision-making methods to evaluate clean energy technologies: A case study
Over the last decade, the total primary energy consumption has increased from 479× 1015
BTU in 2010 to 528× 1015 BTU in 2020. To address this ever-increasing energy demand, as …
BTU in 2010 to 528× 1015 BTU in 2020. To address this ever-increasing energy demand, as …
Based multiple heterogeneous wearable sensors: A smart real-time health monitoring structured for hospitals distributor
This paper proposes a smart real-time health monitoring structured for hospitals' distributor
based on wearable health data sensors. Health data were received from multiple …
based on wearable health data sensors. Health data were received from multiple …
Towards understanding socially influenced vaccination decision making: An integrated model of multiple criteria belief modelling and social network analysis
Understanding the socially influenced decision-making process that determines voluntary
vaccination is essential for developing strategies and interventions of vaccine-preventable …
vaccination is essential for developing strategies and interventions of vaccine-preventable …
Real-time fault-tolerant mHealth system: Comprehensive review of healthcare services, opens issues, challenges and methodological aspects
The burden on healthcare services in the world has increased substantially in the past
decades. The quality and quantity of care have to increase to meet surging demands …
decades. The quality and quantity of care have to increase to meet surging demands …
[HTML][HTML] Best–worst scaling and the prioritization of objects in health: a systematic review
Abstract Background and Objective Best–worst scaling is a theory-driven method that can be
used to prioritize objects in health. We sought to characterize all studies of best–worst …
used to prioritize objects in health. We sought to characterize all studies of best–worst …