Quality of life after cerebrovascular stroke: a systematic study of patients’ preferences for different functional outcomes

. Hallan S, Åsberg A, Indredavik B, Widerøe TE (University Hospital of Trondheim, Trondheim, Norway). Quality of life after cerebrovascular stroke: a systematic study of patients’ preferences for different functional outcomes. J Intern Med 1999; 246: 309–316. Objectives. To elicit valid quality of l...

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Veröffentlicht in:Journal of internal medicine 1999-09, Vol.246 (3), p.309-316
Hauptverfasser: Hallan, S., Åsberg, A., Indredavik, B., Widerøe, T. E.
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container_issue 3
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container_title Journal of internal medicine
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creator Hallan, S.
Åsberg, A.
Indredavik, B.
Widerøe, T. E.
description . Hallan S, Åsberg A, Indredavik B, Widerøe TE (University Hospital of Trondheim, Trondheim, Norway). Quality of life after cerebrovascular stroke: a systematic study of patients’ preferences for different functional outcomes. J Intern Med 1999; 246: 309–316. Objectives. To elicit valid quality of life estimates and the highest acceptable treatment risk of different outcomes after stroke. This is a prerequisite for rational medical decision‐making, especially when considering treatments like thrombolysis. Subjects. Healthy people, non‐stroke medical patients and stroke survivors aged 20–84 years (n = 158) Interventions. Subjects were interviewed by a physician using three different methods (‘standard gamble’, ‘time trade‐off’ and ‘direct scaling’) supported by an interactive computer program. Main outcome measures. We measured utility, a numerical value ranging from 0.00 (death) to 1.00 (perfect health), representing the strength of the patient’s preference for an outcome. When using the standard gamble method, risk is also introduced into the measurement. Results. People’s preferences for stroke outcomes varied widely, and the estimates were influenced by assessment method. We found that previous stroke, marital status and age were the only independent variables influencing the utility given. Subjects in our population over the age of 45 were very comparable to the real population at risk for acute stroke regarding these three variables, and they assigned a median utility of 0.91 (10th percentile, 0.65; 90th percentile, 0.99) to a minor stroke and 0.61 (10th percentile, 0.08; 90th percentile, 0.95) to a major stroke using the standard gamble method. Conclusions. Most people do not feel that suffering from stroke is an overwhelming catastrophe and they do not accept treatment options with very high risks.
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E.</creator><creatorcontrib>Hallan, S. ; Åsberg, A. ; Indredavik, B. ; Widerøe, T. E.</creatorcontrib><description>. Hallan S, Åsberg A, Indredavik B, Widerøe TE (University Hospital of Trondheim, Trondheim, Norway). Quality of life after cerebrovascular stroke: a systematic study of patients’ preferences for different functional outcomes. J Intern Med 1999; 246: 309–316. Objectives. To elicit valid quality of life estimates and the highest acceptable treatment risk of different outcomes after stroke. This is a prerequisite for rational medical decision‐making, especially when considering treatments like thrombolysis. Subjects. Healthy people, non‐stroke medical patients and stroke survivors aged 20–84 years (n = 158) Interventions. Subjects were interviewed by a physician using three different methods (‘standard gamble’, ‘time trade‐off’ and ‘direct scaling’) supported by an interactive computer program. Main outcome measures. We measured utility, a numerical value ranging from 0.00 (death) to 1.00 (perfect health), representing the strength of the patient’s preference for an outcome. When using the standard gamble method, risk is also introduced into the measurement. Results. People’s preferences for stroke outcomes varied widely, and the estimates were influenced by assessment method. We found that previous stroke, marital status and age were the only independent variables influencing the utility given. Subjects in our population over the age of 45 were very comparable to the real population at risk for acute stroke regarding these three variables, and they assigned a median utility of 0.91 (10th percentile, 0.65; 90th percentile, 0.99) to a minor stroke and 0.61 (10th percentile, 0.08; 90th percentile, 0.95) to a major stroke using the standard gamble method. Conclusions. Most people do not feel that suffering from stroke is an overwhelming catastrophe and they do not accept treatment options with very high risks.</description><identifier>ISSN: 0954-6820</identifier><identifier>EISSN: 1365-2796</identifier><identifier>DOI: 10.1046/j.1365-2796.1999.00531.x</identifier><identifier>PMID: 10475999</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Science Ltd</publisher><subject>acute cerebral stroke ; Adult ; Age Factors ; Aged ; Aged, 80 and over ; Biological and medical sciences ; Cerebrovascular Disorders - physiopathology ; Cerebrovascular Disorders - psychology ; decision analysis ; Decision Support Techniques ; Female ; Humans ; Male ; Marital Status ; Medical sciences ; Middle Aged ; Neurology ; outcome ; Quality of Life ; Recurrence ; Treatment Outcome ; utility ; Vascular diseases and vascular malformations of the nervous system</subject><ispartof>Journal of internal medicine, 1999-09, Vol.246 (3), p.309-316</ispartof><rights>1999 INIST-CNRS</rights><rights>Copyright Blackwell Scientific Publications Ltd. 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E.</creatorcontrib><title>Quality of life after cerebrovascular stroke: a systematic study of patients’ preferences for different functional outcomes</title><title>Journal of internal medicine</title><addtitle>J Intern Med</addtitle><description>. Hallan S, Åsberg A, Indredavik B, Widerøe TE (University Hospital of Trondheim, Trondheim, Norway). Quality of life after cerebrovascular stroke: a systematic study of patients’ preferences for different functional outcomes. J Intern Med 1999; 246: 309–316. Objectives. To elicit valid quality of life estimates and the highest acceptable treatment risk of different outcomes after stroke. This is a prerequisite for rational medical decision‐making, especially when considering treatments like thrombolysis. Subjects. Healthy people, non‐stroke medical patients and stroke survivors aged 20–84 years (n = 158) Interventions. Subjects were interviewed by a physician using three different methods (‘standard gamble’, ‘time trade‐off’ and ‘direct scaling’) supported by an interactive computer program. Main outcome measures. We measured utility, a numerical value ranging from 0.00 (death) to 1.00 (perfect health), representing the strength of the patient’s preference for an outcome. When using the standard gamble method, risk is also introduced into the measurement. Results. People’s preferences for stroke outcomes varied widely, and the estimates were influenced by assessment method. We found that previous stroke, marital status and age were the only independent variables influencing the utility given. Subjects in our population over the age of 45 were very comparable to the real population at risk for acute stroke regarding these three variables, and they assigned a median utility of 0.91 (10th percentile, 0.65; 90th percentile, 0.99) to a minor stroke and 0.61 (10th percentile, 0.08; 90th percentile, 0.95) to a major stroke using the standard gamble method. Conclusions. 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E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4711-d8be22dba26a9bdd4c4e646084da443902ade380fd020531e7d408071838b7d63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1999</creationdate><topic>acute cerebral stroke</topic><topic>Adult</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Biological and medical sciences</topic><topic>Cerebrovascular Disorders - physiopathology</topic><topic>Cerebrovascular Disorders - psychology</topic><topic>decision analysis</topic><topic>Decision Support Techniques</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Marital Status</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Neurology</topic><topic>outcome</topic><topic>Quality of Life</topic><topic>Recurrence</topic><topic>Treatment Outcome</topic><topic>utility</topic><topic>Vascular diseases and vascular malformations of the nervous system</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hallan, S.</creatorcontrib><creatorcontrib>Åsberg, A.</creatorcontrib><creatorcontrib>Indredavik, B.</creatorcontrib><creatorcontrib>Widerøe, T. 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E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quality of life after cerebrovascular stroke: a systematic study of patients’ preferences for different functional outcomes</atitle><jtitle>Journal of internal medicine</jtitle><addtitle>J Intern Med</addtitle><date>1999-09</date><risdate>1999</risdate><volume>246</volume><issue>3</issue><spage>309</spage><epage>316</epage><pages>309-316</pages><issn>0954-6820</issn><eissn>1365-2796</eissn><abstract>. Hallan S, Åsberg A, Indredavik B, Widerøe TE (University Hospital of Trondheim, Trondheim, Norway). Quality of life after cerebrovascular stroke: a systematic study of patients’ preferences for different functional outcomes. J Intern Med 1999; 246: 309–316. Objectives. To elicit valid quality of life estimates and the highest acceptable treatment risk of different outcomes after stroke. This is a prerequisite for rational medical decision‐making, especially when considering treatments like thrombolysis. Subjects. Healthy people, non‐stroke medical patients and stroke survivors aged 20–84 years (n = 158) Interventions. Subjects were interviewed by a physician using three different methods (‘standard gamble’, ‘time trade‐off’ and ‘direct scaling’) supported by an interactive computer program. Main outcome measures. We measured utility, a numerical value ranging from 0.00 (death) to 1.00 (perfect health), representing the strength of the patient’s preference for an outcome. When using the standard gamble method, risk is also introduced into the measurement. Results. People’s preferences for stroke outcomes varied widely, and the estimates were influenced by assessment method. We found that previous stroke, marital status and age were the only independent variables influencing the utility given. Subjects in our population over the age of 45 were very comparable to the real population at risk for acute stroke regarding these three variables, and they assigned a median utility of 0.91 (10th percentile, 0.65; 90th percentile, 0.99) to a minor stroke and 0.61 (10th percentile, 0.08; 90th percentile, 0.95) to a major stroke using the standard gamble method. Conclusions. Most people do not feel that suffering from stroke is an overwhelming catastrophe and they do not accept treatment options with very high risks.</abstract><cop>Oxford, UK</cop><pub>Blackwell Science Ltd</pub><pmid>10475999</pmid><doi>10.1046/j.1365-2796.1999.00531.x</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record>
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subjects acute cerebral stroke
Adult
Age Factors
Aged
Aged, 80 and over
Biological and medical sciences
Cerebrovascular Disorders - physiopathology
Cerebrovascular Disorders - psychology
decision analysis
Decision Support Techniques
Female
Humans
Male
Marital Status
Medical sciences
Middle Aged
Neurology
outcome
Quality of Life
Recurrence
Treatment Outcome
utility
Vascular diseases and vascular malformations of the nervous system
title Quality of life after cerebrovascular stroke: a systematic study of patients’ preferences for different functional outcomes
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