Literature DB >> 25481813

Evaluation of Computerized Adaptive Tests (CATs) for longitudinal monitoring of depression, anxiety, and stress reactions.

Janine Devine1, Herbert Fliege2, Rüya Kocalevent3, Annett Mierke4, Burghard F Klapp4, Matthias Rose5.   

Abstract

BACKGROUND: Computerized adaptive testing (CAT) based on Item Response Theory, (IRT) offers an efficient way for accurate measurement of patient reported outcomes. The efficiency lies within a minimal response burden and a high measurement precision over a broad measurement range. The objective of the study was to evaluate and compare the responsiveness of CATs measuring anxiety, depression, and stress reaction to standard static self-assessment tools.
METHODS: Longitudinal data of n=595 psychosomatic inpatients were analyzed for evaluating retest-reliability and sensitivity to change of the CATs compared to static measures (GAD-7, PHQ-9, and PSQ) using correlational and ANOVA statistics. The study hypothesized that CATs are at least as retest-reliable and as sensitive to change as static tools.
RESULTS: The three CATs show a low burden for patients, administering on average 5-7 (±2-6SD) items with similar retest-reliability compared to the static tools applied (A-CAT: r=.78 vs. GAD-7: r=.75, D-CAT: r=.71 vs. PHQ-9: r=.75, S-CAT: r=.80 vs. PSQworries scale: r=.80). The CATs were overall as sensitive to change as the static tools (Cohen׳s d ranged between .19 and .69). LIMITATIONS: This is a monocenter, observational, longitudinal study without external clinical criteria; thus generalization to other settings may be limited.
CONCLUSIONS: The tested CATs belong to the first generation of CATs being used in daily routine for more than a decade. They are as retest reliable and sensitive to change as static tools. Newer CATs may provide further practical advantages.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Computer Adaptive Test; Item Response Theory; Mental health; Monitor; Questionnaire; Sensitivity to change

Mesh:

Year:  2014        PMID: 25481813     DOI: 10.1016/j.jad.2014.10.063

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  6 in total

1.  Validation of the Computerized Adaptive Test for Mental Health in Primary Care.

Authors:  Andrea K Graham; Alexa Minc; Erin Staab; David G Beiser; Robert D Gibbons; Neda Laiteerapong
Journal:  Ann Fam Med       Date:  2019-01       Impact factor: 5.166

2.  Impact of Multiple Factors on the Degree of Tinnitus Distress.

Authors:  Petra Brüggemann; Agnieszka J Szczepek; Matthias Rose; Laurence McKenna; Heidi Olze; Birgit Mazurek
Journal:  Front Hum Neurosci       Date:  2016-06-29       Impact factor: 3.169

3.  Applying Computerized Adaptive Testing to the Four-Dimensional Symptom Questionnaire (4DSQ): A Simulation Study.

Authors:  Tessa Magnée; Derek P de Beurs; Berend Terluin; Peter F Verhaak
Journal:  JMIR Ment Health       Date:  2017-02-21

4.  Measurement versus prediction in the construction of patient-reported outcome questionnaires: can we have our cake and eat it?

Authors:  Niels Smits; L Andries van der Ark; Judith M Conijn
Journal:  Qual Life Res       Date:  2017-11-02       Impact factor: 4.147

5.  A Modified Version of the Transactional Stress Concept According to Lazarus and Folkman Was Confirmed in a Psychosomatic Inpatient Sample.

Authors:  Nina Obbarius; Felix Fischer; Gregor Liegl; Alexander Obbarius; Matthias Rose
Journal:  Front Psychol       Date:  2021-03-05

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

  6 in total

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