Self-reported quality of life following stroke: a systematic review of instruments with a focus on their psychometric properties.
Neuroscience
Outcome measures
Quality of life
Rehabilitation
Stroke
Validity
Journal
Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation
ISSN: 1573-2649
Titre abrégé: Qual Life Res
Pays: Netherlands
ID NLM: 9210257
Informations de publication
Date de publication:
Feb 2022
Feb 2022
Historique:
accepted:
06
07
2021
pubmed:
12
7
2021
medline:
19
2
2022
entrez:
11
7
2021
Statut:
ppublish
Résumé
To evaluate the psychometric properties of common health-related quality-of-life instruments used post stroke and provide recommendations for research and clinical use with this diagnostic group. A systematic review of the psychometric properties of the five most commonly used quality-of-life measurement tools (EQ-5D, SF-36, SF-6D, AQoL, SS-QOL) was conducted. Electronic searches were performed in MEDLINE, CINAHL, and EMBASE on November 27th 2019. Two authors screened papers against the inclusion criteria and where consensus was not reached, a third author was consulted. Included papers were appraised using the COnsensus-based Standards for the selection of health status Measurement INstruments (COSMIN) checklist and findings synthesized to make recommendations. A total of n = 50,908 papers were screened and n = 45 papers reporting on 40 separate evaluations of psychometric properties met inclusion criteria (EQ-5D = 19, SF-36 = 16, SF-6D = 4, AQoL = 2, SS-QOL = 4). Studies reported varied psychometric quality of instruments, and results show that psychometric properties of quality-of-life instruments for the stroke population have not been well established. The strongest evidence was identified for the use of the EQ-5D as a quality-of-life assessment for adult stroke survivors. This systematic evaluation of the psychometric properties of self-reported quality-of-life instruments used with adults after stroke suggests that validity across tools should not be assumed. Clinicians and researchers alike may use findings to help identify the most valid and reliable measurement instrument for understanding the impact of stroke on patient-reported quality of life.
Identifiants
pubmed: 34247327
doi: 10.1007/s11136-021-02944-9
pii: 10.1007/s11136-021-02944-9
doi:
Types de publication
Journal Article
Systematic Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
329-342Informations de copyright
© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.
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