Article
Health Care Sciences & Services
Hui-Ching Wu
Summary: This study used multicriteria decision making to prioritize the allocation of community resources and funding, aiming to achieve health equity. The assessment criteria were ranked, with disability level, age, and household composition being the highest priorities.
Article
Medicine, General & Internal
Mohammad Sabbir Haider, Sitaporn Youngkong, Montarat Thavorncharoensap, Praveen Thokala
Summary: A multicriteria decision analysis process was used to prioritize vaccines for introduction in Bangladesh. Five quantitative criteria and two qualitative criteria were used to evaluate and rank the vaccines, with the Japanese encephalitis vaccine being recommended for introduction. The use of systematic evidence-based decision-making processes such as MCDA was supported by policymakers in Bangladesh.
Article
Environmental Sciences
J. D. Rasinger, F. Frenzel, A. Braeuning, A. Bernhard, R. Ornsrud, S. Merel, M. H. G. Berntssen
Summary: Ethoxyquin has been used as an antioxidant in feed for pets and food-producing animals, but in Europe its authorization was suspended due to gaps in knowledge concerning transformation products. Recent studies identified 27 transformation products of ethoxyquin in farmed Atlantic salmon, with four newly identified products ranking high for genotoxic potential. Advanced analytical methods and predictive tools were employed to prioritize compounds for further investigation.
ENVIRONMENT INTERNATIONAL
(2022)
Article
Mathematics
Rui Yong, Jun Ye, Shigui Du
Summary: This study proposes trapezoidal neutrosophic Z-numbers (TrNZNs), their basic operations, and aggregation operators, along with establishing an MDM method for solving MDM problems with TrNZN information. The research demonstrates that the established approach not only makes assessment information continuous and reliable, but also strengthens decision rationality and efficiency in the setting of TrNZNs.
JOURNAL OF MATHEMATICS
(2021)
Letter
Medicine, General & Internal
Claire Davenport, Jennifer Ouellet, Mary E. Tinetti
Summary: This cross-sectional study focuses on incorporating patient-identified top health priorities into the care of older adults with multiple chronic conditions, while assisting in decision-making that aligns with these priorities.
Article
Computer Science, Interdisciplinary Applications
Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, Michel Grabisch, Joao Marcos Travassos Romano
Summary: Redundancies among criteria in multicriteria decision making problems can introduce bias in the ranking. This paper proposes a method to deal with redundant criteria by formulating the problem as a blind source separation one and applying independent component analysis techniques for information extraction and adjustment.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Psychology, Multidisciplinary
Emil Persson, Arvid Erlandsson, Paul Slovic, Daniel Vastfjall, Gustav Tinghog
Summary: This study finds evidence of a prominence effect in health care priority setting, where people tend to choose options that are better in terms of health, even when they evaluate different options as equally good. The study also provides a psychological explanation for why opportunity costs are neglected in health care priority setting.
JUDGMENT AND DECISION MAKING
(2022)
Article
Public, Environmental & Occupational Health
Jeffrey M. Keisler, Igor Linkov
Summary: Recent guidelines for risk-informed decision making provide a standard for incorporating probabilistic risk models with other considerations, but quantifying risk is difficult when threats, vulnerabilities, and consequences are highly uncertain. Decision making informed by risk (DMIR) can be used as a flexible approach that combines risk and decision analytics. Multi-criteria decision analysis (MCDA) is commonly used as a basis for DMIR to accommodate varying levels of analytical detail.
Article
Health Care Sciences & Services
Aviva Tugendhaft, Karen Hofman, Marion Danis, Kathleen Kahn, Agnes Erzse, Rhian Twine, Marthe Gold, Nicola Christofides
Summary: Public engagement in priority-setting for health is crucial in ensuring ethical decision-making processes, especially in resource-constrained settings. This study in a rural community in South Africa showed that communities often prioritize curative services over preventive services, and engage deeply in trade-offs between costly treatment options.
HEALTH POLICY AND PLANNING
(2021)
Article
Medicine, General & Internal
Nizal Sarrafzadegan, Fahimeh Bagherikholenjani, Fereidoun Noohi, Hassan Alikhasi, Noushin Mohammadifard, Samad Ghaffari, Seyed Mohammad Hassan Adel, Ahmad Reza Assareh, Mohammad Javad Zibaee Nezhad, Mahmood Tabandeh, Hossein Farshidi, Alireza Khosravi, Ebrahim Nematipour, Mohammad Kermani-Alghoraishi, Razieh Hassannejad, Masoumeh Sadeghi, Jamshid Najafian, Davood Shafie, Mahmood Mohammadzadeh Shabestari, Asieh Mansouri, Hamidreza Roohafza, Shahla Shahidi, Mohammad Hossein Yarmohammadian, Maryam Moeeni
Summary: This study used a standard indigenous approach to determine the research priorities in the field of cardiovascular diseases (CVD) in Iran. Through a multistage process involving expert discussions, scoring, and ranking, five research priorities were identified, including hypertension, prevention and control of ischemic heart disease (IHD) and its risk factors, burden of IHD, registration of CVDs, and COVID-19 and CVDs.
JOURNAL OF RESEARCH IN MEDICAL SCIENCES
(2022)
Article
Computer Science, Artificial Intelligence
J. M. Conejero, J. C. Preciado, A. E. Prieto, M. C. Bas, V. J. Bolos
Summary: This paper presents a multi-criteria classification of Vocational and Educational Programs in Extremadura (Spain) from 2009 to 2016, using TOPSIS method and a new decision support method. The study integrates detailed information of individuals finishing such studies with their labor data for ranking, and compares a new worst-best case scenario analysis method with a well-known global sensitivity analysis technique.
DECISION SUPPORT SYSTEMS
(2021)
Article
Mathematics
Davor Macek, Ivan Magdalenic, Nina Begicevic Redep
Summary: The article introduces a hybrid multicriteria model for evaluating critical IT systems, utilizing risk analysis and assessment elements as evaluation criteria. Through iterative steps of design science research methodology, the model enhances efficiency in evaluating, ranking, and selecting critical information systems.
Article
Thermodynamics
Daniele Lerede, Giuseppe Pinto, Mirko Saccone, Chiara Bustreo, Alfonso Capozzoli, Laura Savoldi
Summary: Energy system models based on the TIMES framework are used to evaluate the sensitivity of the European energy system's long-term evolution and assess alternative optimal configurations through Stochastic Multicriteria Acceptability Analysis. The results show that high penetration of electric vehicles is favored by economic, environmental, and energy-related priorities.
Article
Geriatrics & Gerontology
Leonard Ho, Katherine Lloyd, Martin Taylor-Rowan, Shoba Dawson, Monica Logan, Stephanie Leitch, Terence J. Quinn, Susan D. Shenkin, Steve W. Parry, Heather Jarman, Emily J. Henderson
Summary: This study reviewed priority setting partnerships (PSPs) for older adults and compared the healthcare systems in the United Kingdom, United States, South Korea, and Africa. The research found variations in research priorities for older adult healthcare across different countries and highlighted research gaps and quality issues in existing PSPs.
JOURNAL OF THE AMERICAN MEDICAL DIRECTORS ASSOCIATION
(2023)
Article
Chemistry, Multidisciplinary
Belen Munoz-Medina, Javier Ordonez, Manuel G. Romana, Antonio Lara-Galera
Summary: This article proposes a methodology to study and compare various alternative solutions and selection criteria to find the most ideal solution for constructing retaining walls in different environments. By establishing the relative importance of each criterion and applying different decision-making methods, the most suitable solution for each situation can be successfully selected. The methodology can be applied to the selection of other types of structures in future projects.
APPLIED SCIENCES-BASEL
(2021)
Article
Economics
Rudy Douven, Lukas Kauer, Sylvia Demme, Francesco Paolucci, Wynand van de Ven, Juergen Wasem, Xiaoxi Zhao
Summary: Most countries focus on risk-equalization of medical claims in their health insurance market, while neglecting administrative costs. This study finds that health insurers with a high morbidity population tend to have higher administrative costs. The authors argue for the inclusion of administrative costs in risk-equalization, and demonstrate the practical implementation using examples from Germany and the US. They remain skeptical about extending risk-equalization to other components of the insurance premium.
EUROPEAN JOURNAL OF HEALTH ECONOMICS
(2022)
Article
Business, Finance
Josefa Henriquez, Marica Iommi, Thomas McGuire, Emmanouil Mentzakis, Francesco Paolucci
Summary: Risk equalization schemes and risk sharing are fundamental tools in regulated health insurance markets, aiming to reduce risks for insurers. This paper proposes a method of incorporating risk sharing within a risk equalization scheme in a data-poor context, and demonstrates its effectiveness through a case study of Chile's private health insurance market.
JOURNAL OF RISK AND INSURANCE
(2023)
Article
Business, Finance
M. Antonini, R. C. van Kleef, J. Henriquez, F. Paolucci
Summary: This paper examines the potential reduction in moral hazard from a voluntary deductible under risk-rated premiums, using Chile as a case study. The findings suggest that under risk-rated premiums, the absolute reduction in moral hazard from a voluntary deductible is expected to be larger compared to a system with community-rated premiums.
GENEVA PAPERS ON RISK AND INSURANCE-ISSUES AND PRACTICE
(2023)
Article
Multidisciplinary Sciences
Mhairi Maskew, Kieran Sharpey-Schafer, Lucien De Voux, Thomas Crompton, Jacob Bor, Marcus Rennick, Admire Chirowodza, Jacqui Miot, Seithati Molefi, Chuka Onaga, Pappie Majuba, Ian Sanne, Pedro Pisa
Summary: This study applied predictive machine learning algorithms to HIV programmatic data from South Africa and developed models to predict patient attendance and viral load suppression. Important predictors included previous visit history, viral load testing frequency, visit time, age, and treatment duration. The results showed that machine learning can effectively identify HIV patients at risk of disengagement and unsuppressed viral load.
SCIENTIFIC REPORTS
(2022)
Article
Business, Finance
Peter Paul Klein, Richard van Kleef, Josefa Henriquez, Francesco Paolucci
Summary: This paper examines the interaction between risk adjustment and risk rating in the context of voluntary health insurance markets in Chile, Ireland, and Australia.
JOURNAL OF RISK AND INSURANCE
(2023)
Article
Health Care Sciences & Services
Kerensa Govender, Lawrence Long, Jacqui Miot
Summary: Population mobility poses challenges for patient tracking and care coordination in the South African Development Community (SADC). Case-based surveillance (CBS) using individual-level clinical data linked with a unique patient identifier (UPI) is recommended. We conducted a mixed-methods landscape analysis of UPI and CBS implementation in SADC countries and found that research in this area is lacking. Existing patient identification methods are often ineffective and hinder patient tracking. The implementation of UPI and CBS in most SADC countries is still at an early-middle stage and faces challenges.
HEALTH INFORMATICS JOURNAL
(2023)
Article
Economics
Chris Schilling, Michelle Tew, Samantha Bunzli, Cade Shadbolt, L. Stefan Lohmander, Zsolt J. Balogh, Francesco Paolucci, Peter F. Choong, Michelle M. Dowsey, Philip Clarke
Summary: This study developed an economic model to predict the cost of clinical trials based on various factors. It found that successful trials accurately predicted their recruitment rate, while those that overestimated it were more likely to fail. Overestimating recruitment rates led to significantly higher costs, highlighting the need for better planning, reviewing, and funding of clinical trials to avoid costly overruns and incomplete trials.
APPLIED HEALTH ECONOMICS AND HEALTH POLICY
(2023)
Article
Health Policy & Services
Naomi Moy, Marcello Antonini, Mattias Kyhlstedt, Gianluca Fiorentini, Francesco Paolucci
Summary: This study proposes a conceptual framework to compare the effectiveness of government interventions in different countries during the COVID-19 pandemic. By comparing Italy, New Zealand, the United Kingdom, and the United States, it is found that the intensity and extent of policy measures have dynamic impacts on pandemic and economic outcomes. The framework can help decision-makers evaluate the effects of different policies on health and non-health outcomes during a pandemic.
HEALTH RESEARCH POLICY AND SYSTEMS
(2023)
Article
Health Care Sciences & Services
L. C. Long, S. Girdwood, K. Govender, G. Meyer-Rath, J. Miot
Summary: This study evaluated innovative private sector models for HIV treatment in South Africa and compared their costs and outcomes with government primary health clinics. The results showed that there were variations in costs and outcomes among the private sector models, but some models had similar results to the public sector. Therefore, offering HIV treatment through private delivery models under National Health Insurance (NHI) could be an option to increase access beyond the current public sector capacity.
BMC HEALTH SERVICES RESEARCH
(2023)
Review
Health Care Sciences & Services
Naomi Moy, Darren Flynn, Josefa Henriquez, Luke B. Connelly, Luke Vale, Francesco Paolucci
Summary: The purpose of this paper was to develop an evidence-gap map of treatment options for skeletal dysplasias and their impact on patient outcomes. A systematic search identified 58 studies, most of which focused on the effects of height reduction treatments. However, there is still a lack of research on treatment options, outcomes, and the lived experience of patients with other skeletal dysplasias.
QUALITY OF LIFE RESEARCH
(2023)
Article
Business, Finance
V. Meusel, E. Mentzakis, P. Baji, G. Fiorentini, F. Paolucci
Summary: Worldwide, social healthcare systems are facing the challenges of limited resources and their equitable distribution. In Germany, there is a need for more systematic priority setting procedures, and multi-criteria decision analysis (MCDA) has been identified as a promising approach. This study analyzed the preferences of German decision makers in setting priority interventions, showing a higher preference for efficiency criteria and highlighting mental disorders and cardiovascular diseases as high priority interventions.
INTERNATIONAL JOURNAL OF HEALTH ECONOMICS AND MANAGEMENT
(2023)
Article
Health Care Sciences & Services
Lucky G. G. Ngwira, Hendramoorthy Maheswaran, Janine Verstraete, Stavros Petrou, Louis Niessen, Sarah C. C. Smith
Summary: The psychometric performance of the EQ-5D-Y-3L and EQ-5D-Y-5L was evaluated in this study. Both versions had issues with missing data in younger children. Convergent validity, discriminant validity with respect to gender and age, and known-group validity were met for both measures, although with some limitations. The EQ-5D-Y-5L was less efficient than the EQ-5D-Y-3L in detecting differences in health status.
JOURNAL OF PATIENT-REPORTED OUTCOMES
(2023)
Article
Health Care Sciences & Services
Janine A. van Til, Alison Pearce, Semra Ozdemir, Ilene L. Hollin, Holly L. Peay, Albert W. Wu, Jan Ostermann, Ken Deal, Benjamin M. Craig
Summary: Health preference research should take into account patients' role preferences in medical decision making, and incorporate them in the study design, instrument development, and statistical analysis. Understanding the relationship between role preferences and health preferences is important for medical and shared decision making.
PATIENT-PATIENT CENTERED OUTCOMES RESEARCH
(2023)
