Literature DB >> 22582331

Computerized adaptive testing--ready for ambulatory monitoring?

Matthias Rose1, Jakob B Bjorner, Felix Fischer, Milena Anatchkova, Barbara Gandek, Burghard F Klapp, John E Ware.   

Abstract

BACKGROUND: Computerized adaptive tests (CATs) have abundant theoretical advantages over established static instruments, which could improve ambulatory monitoring of patient-reported outcomes (PROs). However, an empirical demonstration of their practical benefits is warranted.
METHODS: We reviewed the literature and evaluated existing data to discuss the potential of CATs for use in ambulatory monitoring outside clinical facilities.
RESULTS: Computerized adaptive tests are not being used for ambulatory monitoring, but initial results from their use in health care research allow for discussion of some issues relevant to ambulatory care. Evidence shows that CATs can capture the most relevant health outcomes as well as established static tools, with substantially decreased respondent burden. They can be more precise than static tools of similar length and can reduce floor and ceiling effects. Computerized adaptive tests can reliably measure a construct over time with different items, which yields the potential of introducing item exposure control in ambulatory monitoring. Studies have shown that CATs can be at least as valid as well-designed static tools in group comparisons, but further investigation is needed to determine whether psychometric advantages lead to increased responsiveness of CATs.
CONCLUSIONS: Ambulatory monitoring of PROs demands short, yet very precise measurements, which can be repeated up to many times a day. Computerized adaptive tests may address several present shortcomings in ambulatory monitoring of PROs efficiently. However, most CAT developments have primarily focused on psychometric improvements. To use the full potential of CATs for ambulatory monitoring purposes, content must also be carefully considered.

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Year:  2012        PMID: 22582331     DOI: 10.1097/PSY.0b013e3182547392

Source DB:  PubMed          Journal:  Psychosom Med        ISSN: 0033-3174            Impact factor:   4.312


  8 in total

1.  The development and validation of static and adaptive screeners to measure the severity of panic disorder, social anxiety disorder, and obsessive compulsive disorder.

Authors:  Matthew Sunderland; Philip J Batterham; Alison L Calear; Natacha Carragher
Journal:  Int J Methods Psychiatr Res       Date:  2017-04-03       Impact factor: 4.035

Review 2.  Assessment of patient-reported symptoms of anxiety.

Authors:  Matthias Rose; Janine Devine
Journal:  Dialogues Clin Neurosci       Date:  2014-06       Impact factor: 5.986

Review 3.  Multiple sclerosis: clinical profiling and data collection as prerequisite for personalized medicine approach.

Authors:  Tjalf Ziemssen; Raimar Kern; Katja Thomas
Journal:  BMC Neurol       Date:  2016-08-02       Impact factor: 2.474

4.  Psychometric analysis of the Generalized Anxiety Disorder scale (GAD-7) in primary care using modern item response theory.

Authors:  Pascal Jordan; Meike C Shedden-Mora; Bernd Löwe
Journal:  PLoS One       Date:  2017-08-03       Impact factor: 3.240

5.  Item usage in a multidimensional computerized adaptive test (MCAT) measuring health-related quality of life.

Authors:  Muirne C S Paap; Karel A Kroeze; Caroline B Terwee; Job van der Palen; Bernard P Veldkamp
Journal:  Qual Life Res       Date:  2017-06-23       Impact factor: 4.147

Review 6.  Key considerations to reduce or address respondent burden in patient-reported outcome (PRO) data collection.

Authors:  Olalekan Lee Aiyegbusi; Jessica Roydhouse; Samantha Cruz Rivera; Paul Kamudoni; Peter Schache; Roger Wilson; Richard Stephens; Melanie Calvert
Journal:  Nat Commun       Date:  2022-10-12       Impact factor: 17.694

7.  The Accuracy of Computerized Adaptive Testing in Heterogeneous Populations: A Mixture Item-Response Theory Analysis.

Authors:  Richard Sawatzky; Pamela A Ratner; Jacek A Kopec; Amery D Wu; Bruno D Zumbo
Journal:  PLoS One       Date:  2016-03-01       Impact factor: 3.240

8.  Protocol for development, calibration and validation of the Patient-Reported Inventory of Self-Management of Chronic Conditions (PRISM-CC).

Authors:  Tanya Packer; George Kephart; Åsa Audulv; America Keddy; Grace Warner; Kylie Peacock; Tara Sampalli
Journal:  BMJ Open       Date:  2020-09-30       Impact factor: 2.692

  8 in total

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