Literature DB >> 34994306

Stroke self-efficacy questionnaire - Denmark (SSEQ-DK): test-retest of the Danish version.

Sedsel Kristine Stage Pedersen1, Hanne Pallesen1,2.   

Abstract

BACKGROUND: In stroke rehabilitation, measurement tools measuring self-efficacy with sound psychometric properties are needed. The Stroke Self-Efficacy Questionnaire (SSEQ) has recently been translated and validated into a Danish version (SSEQ-DK).
OBJECTIVES: To evaluate the test-retest reliability of the SSEQ-DK.
METHODS: Fifty people with stroke ≥ 18 years in the sub-acute and chronic phase were included from February 2019 to August 2020. The SSEQ-DK was completed twice; on day 1 and day 7-14. Test-retest reliability of the single items was assessed using weighted Cohen's kappa and percentage agreement. The activity and self-management scales were assessed by the intraclass correlation coefficient (ICC). Measurement error was assessed by calculating the Smallest Detectable Change (SDC) based on the standard error of measurement.
RESULTS: Overall, kappa values showed fair to substantial test-retest reliability of the single items. However, several kappa values were missing as the statistical prerequisites were not present. The percentage agreement ranged from 78% to 94%. Based on the reported confidence interval of the estimated intraclass correlation coefficient, the test-retest reliability of the activity and self-management scales was poor to excellent in all analysis. Ceiling effects appeared in the single items. Conversely, no floor effect was seen.
CONCLUSION: The SSEQ-DK showed good test-retest reliability of the single items based on agreement among a population with stroke in the subacute and chronic phase. Broad ICC confidence intervals bar any firm conclusions concerning the test-retest reliability of the activity and self-management scales. TRIAL REGISTRATION: ClinicalTrials.gov NCT03183960. Reg. 15 June 2017.

Entities:  

Keywords:  Self-efficacy; psychometric properties; rehabilitation; stroke; test-retest reliability

Year:  2022        PMID: 34994306     DOI: 10.1080/10749357.2021.2016097

Source DB:  PubMed          Journal:  Top Stroke Rehabil        ISSN: 1074-9357            Impact factor:   2.119


  1 in total

1.  Tailoring and Evaluating an Intervention to Support Self-management After Stroke: Protocol for a Multi-case, Mixed Methods Comparison Study.

Authors:  Marie Elf; Erika Klockar; Maya Kylén; Lena von Koch; Charlotte Ytterberg; Lars Wallin; Tracy Finch; Catharina Gustavsson; Fiona Jones
Journal:  JMIR Res Protoc       Date:  2022-05-06
  1 in total

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