A questionnaire assessment of unmet needs for rehabilitation services and resources for people with multiple sclerosis: results of a pilot survey in five European countries
Autor: | R Bencivenga, P Ketelaer, C Beneton, Paula Kersten, Alan J. Thompson, Katrin Gross-Paju, N Grigoriadis, D.L. McLellan, M Charlier |
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Rok vydání: | 2000 |
Předmět: |
030506 rehabilitation
medicine.medical_specialty Rehabilitation European community business.industry medicine.medical_treatment Public health Multiple sclerosis Pilot survey Physical Therapy Sports Therapy and Rehabilitation medicine.disease Unmet needs 03 medical and health sciences Identification (information) 0302 clinical medicine Family medicine Needs assessment medicine 0305 other medical science business 030217 neurology & neurosurgery Demography |
Zdroj: | Clinical Rehabilitation. 14:42-49 |
ISSN: | 1477-0873 0269-2155 |
DOI: | 10.1191/026921500669834306 |
Popis: | Objective: To develop an international services and needs assessment instrument (SUN) for people with multiple sclerosis and their carers and to pilot this in different countries of the European Community. Design: Interview study of people with multiple sclerosis, their carers and nominated key professionals examining the unmet needs of patients and carers. Setting: Belgium, Estonia, Greece, Italy and the United Kingdom. Main outcome measures: Needs assessment questionnaire. Results: The study comprised 137 people with multiple sclerosis, 125 carers and 111 professionals. Patients reported on average 2.9 unmet needs for themselves; their carers and professionals reported on average 2.4. Needs were categorized into seven broad categories. Due to difficulties experienced by the local researchers in distinguishing between needs and objectives a large proportion of needs had to be assigned to the ‘other’ category. Conclusions: The SUN is a valuable and practicable tool for the identification of unmet needs for people with multiple sclerosis and their carers. Formal validation and reliability testing of the different language versions is recommended. |
Databáze: | OpenAIRE |
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