AIMC Topic: Patient Reported Outcome Measures

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An examination of machine learning to map non-preference based patient reported outcome measures to health state utility values.

Health economics Jun 15, 2022
Non-preference-based patient-reported outcome measures (PROMs) are popular in health outcomes research. These measures, however, cannot be used to estimate health state utilities, limiting their usefulness for economic evaluations. Mapping PROMs to a...
Humans Australia Cost-Benefit Analysis Patient Reported Outcome Measures Machine Learning Quality of Life Surveys and Questionnaires
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More Than Words: An Invited Commentary Regarding "Quantitative Patient-Reported Experience Measures Derived From Natural Language Processing Have a Normal Distribution and No Ceiling Effect".

Quality management in health care May 27, 2022
Patient Reported Outcome Measures Normal Distribution Humans Natural Language Processing
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Quantitative Patient-Reported Experience Measures Derived From Natural Language Processing Have a Normal Distribution and No Ceiling Effect.

Quality management in health care Apr 4, 2022
BACKGROUND AND OBJECTIVES: Patient-reported experience measures have the potential to guide improvement in health care delivery. Many patient-reported experience measures are limited by the presence of strong ceiling effects that limit their analytic...
Humans Normal Distribution Delivery of Health Care Natural Language Processing Patient Reported Outcome Measures
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Natural Language Processing and Machine Learning Methods to Characterize Unstructured Patient-Reported Outcomes: Validation Study.

Journal of medical Internet research Nov 3, 2021
BACKGROUND: Assessing patient-reported outcomes (PROs) through interviews or conversations during clinical encounters provides insightful information about survivorship.
Humans Cross-Sectional Studies Machine Learning Adolescent Natural Language Processing Child Algorithms Patient Reported Outcome Measures
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Web-based and machine learning approaches for identification of patient-reported outcomes in inflammatory bowel disease.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Sep 26, 2021
BACKGROUND: Messages from an Internet forum are raw material that emerges in a natural setting (i.e., non-induced by a research situation).
Internet Patient Reported Outcome Measures Humans Machine Learning Inflammatory Bowel Diseases
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"Looking Under the Hood" of Anchor-Based Assessment of Clinically Important Change: A Machine Learning Approach.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research May 18, 2021
OBJECTIVES: The Global Assessment of Change (GAC) item has facilitated the interpretation of change in patient-reported outcomes, providing an anchor for computing minimally important differences. Construct validity has been documented via disease-sp...
Patient Reported Outcome Measures Caregivers Change Management Chronic Disease Sociodemographic Factors Machine Learning Female Male Middle Aged Surveys and Questionnaires Cognition Humans
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Comparison of Patient-reported Health-related Quality of Life Between Open Radical Cystectomy and Robot-assisted Radical Cystectomy with Intracorporeal Urinary Diversion: Interim Analysis of a Randomised Controlled Trial.

European urology focus Mar 10, 2021
BACKGROUND: Open radical cystectomy (ORC) is still considered the reference approach for RC, although robot-assisted RC (RARC) has recently gained in popularity. There are literature reports on perioperative and oncologic outcomes of RARC, but functi...
Urinary Bladder Urinary Diversion Robotics Patient Reported Outcome Measures Cystectomy Treatment Outcome Urinary Bladder Neoplasms Humans Postoperative Complications Quality of Life
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Exploring Associations of Preoperative Physical Performance With Postoperative Outcomes After Lumbar Spinal Fusion: A Machine Learning Approach.

Archives of physical medicine and rehabilitation Mar 9, 2021
OBJECTIVE: To explore the association between preoperative physical performance with short- and long-term postoperative outcomes in patients undergoing lumbar spinal fusion (LSF).
Postoperative Period Humans Preoperative Period Recovery of Function Machine Learning Predictive Value of Tests Physical Functional Performance Retrospective Studies Disability Evaluation Patient Reported Outcome Measures Female Pain, Postoperative Spinal Fusion Middle Aged Risk Factors Lumbar Vertebrae Aged Length of Stay Male Cohort Studies
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Robotics Versus Navigation Versus Conventional Total Hip Arthroplasty: Does the Use of Technology Yield Superior Outcomes?

The Journal of arthroplasty Mar 5, 2021
BACKGROUND: The use of technology such as navigation and robotic systems may improve the accuracy of component positioning in total hip arthroplasty (THA), but its impact on patient-reported outcome measures (PROMs) remains unclear. This study aims t...
Humans Retrospective Studies Treatment Outcome Robotics Patient Reported Outcome Measures Arthroplasty, Replacement, Hip
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Application of a Computer Vision Tool for Automated Glottic Tracking to Vocal Fold Paralysis Patients.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Feb 16, 2021
OBJECTIVES: (1) Demonstrate true vocal fold (TVF) tracking software (AGATI [Automated Glottic Action Tracking by artificial Intelligence]) as a quantitative assessment of unilateral vocal fold paralysis (UVFP) in a large patient cohort. (2) Correlate...
Humans Software Female Artificial Intelligence Male Laryngoplasty Middle Aged Video Recording Injections Glottis Vocal Cord Paralysis Patient Reported Outcome Measures Laryngoscopy
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