Literature DB >> 24658341

Stroke Self-efficacy Questionnaire: a Rasch-refined measure of confidence post stroke.

Afsane Riazi1, Trefor Aspden, Fiona Jones.   

Abstract

OBJECTIVE: Measuring self-efficacy during rehabilitation provides an important insight into understanding recovery post stroke. A Rasch analysis of the Stroke Self-efficacy Questionnaire (SSEQ) was undertaken to establish its use as a clinically meaningful and scientifically rigorous measure.
METHODS: One hundred and eighteen stroke patients completed the SSEQ with the help of an interviewer. Participants were recruited from local acute stroke units and community stroke rehabilitation teams. Data were analysed with confirmatory factor analysis conducted using AMOS and Rasch analysis conducted using RUMM2030 software.
RESULTS: Confirmatory factor analysis and Rasch analyses demonstrated the presence of two separate scales that measure stroke survivors' self-efficacy with: i) self-management and ii) functional activities. Guided by Rasch analyses, the response categories of these two scales were collapsed from an 11-point to a 4-point scale. Modified scales met the expectations of the Rasch model. Items satisfied the Rasch requirements (overall and individual item fit, local response independence, differential item functioning, unidimensionality). Furthermore, the two subscales showed evidence of good construct validity.
CONCLUSIONS: The new SSEQ has good psychometric properties and is a clinically useful assessment of self-efficacy after stroke. The scale measures stroke survivors' self-efficacy with self-management and activities as two unidimensional constructs. It is recommended for use in clinical and research interventions, and in evaluating stroke self-management interventions.

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Year:  2014        PMID: 24658341     DOI: 10.2340/16501977-1789

Source DB:  PubMed          Journal:  J Rehabil Med        ISSN: 1650-1977            Impact factor:   2.912


  7 in total

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Authors:  Eric S Kruger; Kelsey N Serier; Rory A Pfund; James R McKay; Katie Witkiewitz
Journal:  Alcohol Clin Exp Res       Date:  2021-09-30       Impact factor: 3.455

2.  Development and psychometric evaluation of a new patient -reported outcome measure for stroke self -management: The Southampton Stroke Self - Management Questionnaire (SSSMQ).

Authors:  Emma J Boger; Matthew Hankins; Sara H Demain; Susan M Latter
Journal:  Health Qual Life Outcomes       Date:  2015-10-03       Impact factor: 3.186

3.  A nurse-led health coaching intervention for stroke survivors and their family caregivers in hospital to home transition care in Chongqing, China: a study protocol for a randomized controlled trial.

Authors:  Shuanglan Lin; Lily Dongxia Xiao; Diane Chamberlain
Journal:  Trials       Date:  2020-03-04       Impact factor: 2.279

4.  Can telerehabilitation services combined with caregiver-mediated exercises improve early supported discharge services poststroke? A study protocol for a multicentre, observer-blinded, randomized controlled trial.

Authors:  Marijn Mulder; Corien Nikamp; Rinske Nijland; Erwin van Wegen; Erik Prinsen; Judith Vloothuis; Jaap Buurke; Gert Kwakkel
Journal:  BMC Neurol       Date:  2022-01-17       Impact factor: 2.474

5.  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

6.  Feasibility study of an integrated stroke self-management programme: a cluster-randomised controlled trial.

Authors:  Fiona Jones; Heather Gage; Avril Drummond; Ajay Bhalla; Robert Grant; Sheila Lennon; Christopher McKevitt; Afsane Riazi; Matthew Liston
Journal:  BMJ Open       Date:  2016-01-06       Impact factor: 2.692

7.  Predicting the functional independence during the recovery phase for poststroke patients.

Authors:  Sadeq Al-Fayyadh
Journal:  Nurs Open       Date:  2019-07-11
  7 in total

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