ArticleJournal of medical Internet research2020
Maximizing the Potential of Patient-Reported Assessments by Using the Open-Source Concerto Platform With Computerized Adaptive Testing and Machine Learning.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed.
- Measurement-Based Mental Health Care for Adolescents in Africa: Protocol for a Computerized Adaptive Test.JMIR research protocols · 2026Article
- A Brief History of COPD: As Told by Some of Its Senior Scientists and Clinicians.Journal of clinical medicine · 2026Review
- The role of frequency and severity in measuring oral health-related quality of life: a cross-sectional study with a test-retest subsample in general and clinical populations.BMC oral health · 2026Article
- Are Currently Available Joint-Specific Patient-Reported Outcome Measures Fit for Purpose to Assess the Outcome of Knee Arthroplasty?Journal of clinical medicine · 2025Article
- Development and initial validation of DESCAQ: A Rasch-based computer-adaptive questionnaire for assessing digital eye strain.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2025Article
- Article
- Applications of machine learning and deep learning in musculoskeletal medicine: a narrative review.European journal of medical research · 2025Review
- Handy insights: Could online patient-reported outcome measures be used to assess hand injury rehabilitation?MethodsX · 2024Article
- Psychometric properties of computerized adaptive testing for chronic obstructive pulmonary disease patient-reported outcome measurement.Health and quality of life outcomes · 2024Article
- Efficiency, Precision, Validity, and Reliability of GlauCAT-Asian Computerized Adaptive Tests in Measuring Glaucoma-Related Quality of Life.Translational vision science & technology · 2024Article
- Article
- Patient-reported outcome measures in cancer care: Integration with computerized adaptive testing.Asia-Pacific journal of oncology nursing · 2023Article
- Computerized adaptive testing for the patient evaluation measure (PEM) in patients undergoing cubital tunnel syndrome surgery.The Journal of hand surgery, European volume · 2023Article
- Remote Symptom Monitoring With Ecological Momentary Computerized Adaptive Testing: Pilot Cohort Study of a Platform for Frequent, Low-Burden, and Personalized Patient-Reported Outcome Measures.Journal of medical Internet research · 2023Article
- Measuring glaucoma quality of life in an Asian population using item banking: psychometric evaluation and computerized adaptive testing simulations.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023Article
- Italian cross-cultural adaptation of the patient-reported outcome measure of ataxia.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023Article
- Identifying Content for an Item Bank to Measure the Quality-of-Life Impact of Myopia Refractive Interventions.Translational vision science & technology · 2023Article
- The Development, Deployment, and Evaluation of the CLEFT-Q Computerized Adaptive Test: A Multimethods Approach Contributing to Personalized, Person-Centered Health Assessments in Plastic Surgery.Journal of medical Internet research · 2023Article
- Psychometric Evaluation of Glaucoma Quality of Life Item Banks (GlauCAT) and Initial Assessment Using Computerized Adaptive Testing.Translational vision science & technology · 2022Article
- Implementation of an Online Glaucoma-Specific Quality of Life Computerized Adaptive Test System in a US Glaucoma Hospital.Translational vision science & technology · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Patient-reported assessments are transforming many facets of health care, but there is scope to modernize their delivery. Contemporary assessment techniques like computerized adaptive testing (CAT) and machine learning can be applied to patient-reported assessments to reduce burden on both patients and health care professionals; improve test accuracy; and provide individualized, actionable feedback. The Concerto platform is a highly adaptable, secure, and easy-to-use console that can harness the power of CAT and machine learning for developing and administering advanced patient-reported assessments. This paper introduces readers to contemporary assessment techniques and the Concerto platform. It reviews advances in the field of patient-reported assessment that have been driven by the Concerto platform and explains how to create an advanced, adaptive assessment, for free, with minimal prior experience with CAT or programming.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.