Patient-Reported Outcome Measures for Assessing Dual-Task Performance in Daily Life: A Review of Current Instruments, Use, and Measurement Properties

Int J Environ Res Public Health. 2022 Nov 15;19(22):15029. doi: 10.3390/ijerph192215029.

Abstract

The patient perspective of dual-task (DT) impairment in real life is unclear. This review aimed (i) to identify patient-reported outcome measures (PROMs) on DT and evaluate their measurement properties and (ii) to investigate the usage of PROMs for the evaluation of DT difficulties. A systematic literature search was conducted using PubMed and Web of Science from inception to March 2022. Methodological quality was evaluated using the COSMIN checklist. Six studies examined the measurement properties of DT PROMs. Nine studies used DT PROMs as the outcome measure. Five PROMs were identified, including the Divided Attention Questionnaire (DAQ), Dual-Task-Impact on Daily-life Activities Questionnaire (DIDA-Q), a Questionnaire by Cock et al. (QOC), Dual-Tasking Questionnaire (DTQ), and Dual-Task Screening-List (DTSL). Fourteen measurement properties were documented: five (35.7%) rated quality as "sufficient", six (42.8%) "insufficient", and three (21.4%) "indeterminate". The quality of evidence for each measurement property ranged from very low to high. While DT performance is investigated in many populations, the use of PROMs is still limited, although five instruments are available. Currently, due to insufficient data, it is not possible to recommend a specific DT PROM in a specific population. An exception is DIDA-Q, which has the highest quality of measurement properties in people with multiple sclerosis.

Keywords: cognitive-motor interference; dual-task; patient-reported outcome measures; psychometric properties; reliability; validity.

Publication types

  • Review
  • Systematic Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Checklist
  • Humans
  • Patient Reported Outcome Measures*
  • Quality of Life
  • Surveys and Questionnaires
  • Task Performance and Analysis*

Grants and funding

Zuhal Abasıyanık has received BOF funding from Hasselt University—Special Research Fund under grant number BOF20BL13.