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The Orthostatic Hypotension Questionnaire in Swedish tested in patients with parkinsonism
BACKGROUND: Orthostatic hypotension (OH) is common among older people and in particular in conditions like Parkinson’s disease (PD). The OH Questionnaire (OHQ) has been proposed as a useful patient‐reported assessment tool consisting of the OH Symptom Assessment (OHSA), OH Daily Activity Scale (OHDA...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7507031/ https://www.ncbi.nlm.nih.gov/pubmed/32633094 http://dx.doi.org/10.1002/brb3.1746 |
Sumario: | BACKGROUND: Orthostatic hypotension (OH) is common among older people and in particular in conditions like Parkinson’s disease (PD). The OH Questionnaire (OHQ) has been proposed as a useful patient‐reported assessment tool consisting of the OH Symptom Assessment (OHSA), OH Daily Activity Scale (OHDAS), and a composite score. AIMS OF THE STUDY: To translate the OHQ into Swedish and assess its psychometric properties. METHODS: Following forward–backward translation, the Swedish OHQ was field‐tested (n = 6) for relevance, comprehensibility, and respondent burden. It was then tested regarding scaling assumptions, targeting, reliability, and construct validity in persons with PD (n = 27) and multiple system atrophy (n = 2). RESULTS: The Swedish OHQ was considered relevant and easy to use, with a mean completion time of 5.3 min. Scaling assumptions were acceptable for OHSA and OHDAS (corrected item‐total correlations, .30–.67) but not for the total score (.12–.69). Floor/ceiling effects were ≤3.4% and reliability was >.64. Construct validity was supported by expected correlations with the SCOPA‐AUT, RAND‐36, and blood pressure measurements. CONCLUSIONS: The Swedish OHQ was well received, and psychometric results suggest that the OHQ (particularly the OHDAS) is a useful tool for OH assessment in parkinsonian disorders. Further testing in larger samples is needed. |
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