Article
Health Care Sciences & Services
Conrad J. Harrison, Chris J. Sidey-Gibbons, Anne F. Klassen, Karen W. Y. Wong Riff, Dominic Furniss, Marc C. Swan, Jeremy N. Rodrigues
Summary: The study shows that decision trees are less accurate than CAT models for predicting outcome assessments in cleft patients, typically relying on patient responses rather than clinician-reported data.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2021)
Article
Psychiatry
Laurent Boyer, Sara Fernandes, Yann Brousse, Xavier Zendjidjian, Delphine Cano, Jeremie Riedberger, Pierre-Michel Llorca, Ludovic Samalin, Daniel Dassa, Christian Trichard, Vincent Laprevote, Anne Sauvaget, Mocrane Abbar, David Misdrahi, Fabrice Berna, Christophe Lancon, Nathalie Coulon, Wissam El Hage, Pierre-Emmanuel Rozier, Michel Benoit, Bruno Giordana, Alejandra Caqueo-Urizar, Dong Keon Yon, Bach Tran, Pascal Auquier, Guillaume Fond
Summary: This study developed a computerized adaptive testing (CAT) tool to measure the experience of SMI patients with access and care coordination. The tool showed good psychometric properties and was suitable for clinical use, with no significant differential functioning based on sex, age, care setting, and diagnosis. Its use can optimize patient care pathways and transition towards more person-centered healthcare.
PSYCHIATRY RESEARCH
(2023)
Article
Orthopedics
Matthew S. Tenan, Joseph W. Galvin, Timothy C. Mauntel, John M. Tokish, Jonathan F. Dickens
Summary: This study aimed to establish a valid predictive model of ASES scores using a nonlinear combination of PROMIS domains for physical function and pain, which was proven to be effective and reliable. The PROMIS CAT predictive model was able to accurately predict the ASES score and was 7 points more accurate than the traditional MCID/SCB method.
AMERICAN JOURNAL OF SPORTS MEDICINE
(2021)
Review
Psychiatry
Theresa Halms, Martina Strasser, Miriam Kunz, Alkomiet Hasan
Summary: The COVID-19 pandemic has placed a significant burden on healthcare workers' mental health globally. Guidelines and recommendations to support healthcare workers during this pandemic have been published, but there is a lack of empirical evidence supporting these recommendations and involvement of different target groups and stakeholders. Strategies to identify potential barriers and implement these guidelines in clinical practice are also lacking.
FRONTIERS IN PSYCHIATRY
(2022)
Article
Health Care Sciences & Services
Andrea Giordano, Silvia Testa, Marta Bassi, Sabina Cilia, Antonio Bertolotto, Maria Esmeralda Quartuccio, Erika Pietrolongo, Monica Falautano, Monica Grobberio, Claudia Niccolai, Beatrice Allegri, Rosa Gemma Viterbo, Paolo Confalonieri, Ambra Mara Giovannetti, Eleonora Cocco, Maria Grazia Grasso, Alessandra Lugaresi, Elisa Ferriani, Ugo Nocentini, Mauro Zaffaroni, Alysha De Livera, George Jelinek, Alessandra Solari, Rosalba Rosato
Summary: This study evaluated the performance of MCAT on the MSQOL-54 and found that it had satisfactory performance in assessing the quality of life of patients with multiple sclerosis. Compared to the full-length MSQOL-54, the simulated MCAT required fewer items without losing precision for the general HRQOL factor.
HEALTH AND QUALITY OF LIFE OUTCOMES
(2023)
Review
Medicine, Legal
Cristina Scarpazza, Ilaria Zampieri, Alessio Miolla, Giulia Melis, Pietro Pietrini, Giuseppe Sartori
Summary: The reliability of insanity assessment is influenced by various factors, and a multidisciplinary evaluation approach is expected to improve the accuracy and fairness of insanity evaluation.
FORENSIC SCIENCE INTERNATIONAL
(2021)
Article
Rehabilitation
Chun Wang, David J. Weiss, Shiyang Su, King Yiu Suen, Jeffrey Basford, Andrea L. Cheville
Summary: This study developed and evaluated an efficient and precise variable-length functional assessment method for guiding mobility preservation and rehabilitation services among hospitalized patients. The results of a simulation study showed that the new method, called FAMCAT, outperformed conventional unidimensional computerized adaptive testing in terms of measurement precision and efficiency.
ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION
(2022)
Article
Ophthalmology
Ryan Eyn Kidd Man, Eva K. Fenwick, Jyoti Khadka, ZhiChao Wu, Simon Skalicky, Konrad Pesudovs, Ecosse L. Lamoureux
Summary: This study evaluates the psychometric properties of glaucoma-specific quality of life (QoL) item banks (GlauCAT) and assesses their performance using computerized adaptive testing (CAT) simulations. The results show that 12 valid glaucoma-specific QoL domains have been developed, which can obtain highly precise person measure estimates using a small number of items.
TRANSLATIONAL VISION SCIENCE & TECHNOLOGY
(2022)
Article
Psychology, Multidisciplinary
Yaling Li, Menghua She, Dongbo Tu, Yan Cai
Summary: This study developed a computerized adaptive testing for SPD (CAT-SPD) using a non-clinical Chinese sample, demonstrating its reliability, validity, and efficiency in assessing SPD symptoms with reduced test burden and information loss.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Multidisciplinary Sciences
Zahir Vally, Mai Helmy
Summary: This study examined the association between individuals' perception of the psychological burden related to the COVID-19 pandemic and addictive social media use. The findings revealed a positive correlation between these factors. Additionally, the study confirmed the impact of psychological burden on addictive social media use and its significance across different national contexts.
Article
Computer Science, Artificial Intelligence
Haiping Ma, Yi Zeng, Shangshang Yang, Chuan Qin, Xingyi Zhang, Limiao Zhang
Summary: Computerized adaptive testing (CAT) aims to adaptively select the best-suited questions for each student based on previous performance. This paper proposes a novel CAT framework DL-CAT, which uses a deep learning-based question selector to predict question selection scores and independently updates the selector's parameters using approximate ground-truth and pairwise rank loss functions.
COMPLEX & INTELLIGENT SYSTEMS
(2023)
Review
Allergy
Melissa B. Gilkey, Wei Yi Kong, Kathryn L. Kennedy, Jennifer Heisler-MacKinnon, Elena Faugno, Barbara Gwinn, Ann Chen Wu, Ceila E. Loughlin, Alison A. Galbraith
Summary: Telemedicine has the potential to reduce the financial burden of asthma care, but it may also increase costs. The research highlights the importance of care coordination and communication in telemedicine.
JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY-IN PRACTICE
(2022)
Article
Computer Science, Information Systems
Christine Dymek, Bryan Kim, Genevieve B. Melton, Thomas H. Payne, Hardeep Singh, Chun-Ju Hsiao
Summary: Clinicians face challenges in using imperfect electronic health record systems while maximizing patient interaction, leading to burnout. Evidence-based informatics approaches like speech recognition and AI can help improve documentation, chart review, and inbox tasks. Collaboration between EHR vendors, healthcare leaders, and policymakers is essential for implementing user-friendly solutions.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2021)
Article
Rehabilitation
Po-Ting Chen, Shih-Chie Lee, Tzu-Yi Wu, Meng-Lin Lee Md, Ching-Lin Hsieh
Summary: This study examined the test-retest reliability, responsiveness, and clinical utility of the Computerized Adaptive Testing System of the Functional Assessment of Stroke (CAT-FAS) in persons with stroke. The results indicated that CAT-FAS is an efficient measurement tool with good to excellent test-retest reliability and responsiveness. It can be used routinely in clinical settings to monitor the progress of stroke patients.
ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION
(2023)
Article
Psychiatry
Cheryl A. King, David Brent, Jacqueline Grupp-Phelan, T. Charles Casper, J. Michael Dean, Lauren S. Chernick, Joel A. Fein, E. Melinda Mahabee-Gittens, Shilpa J. Patel, Rakesh D. Mistry, Susan Duffy, Marlene Melzer-Lange, Alexander Rogers, Daniel M. Cohen, Allison Keller, Rohit Shenoi, Robert W. Hickey, Margaret Rea, Mary Cwik, Kent Page, Taylor C. McGuire, Jiebiao Wang, Robert Gibbons
Summary: The study developed and independently validated a novel computerized adaptive screen for assessing suicide risk in medical emergency departments. The results showed that the screen had excellent suicide attempt risk recognition ability.
