2020
DOI: 10.1016/j.socscimed.2020.112792
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Population-based preference weights for the Adult Social Care Outcomes Toolkit (ASCOT) for service users for Austria: Findings from a best-worst experiment

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Cited by 6 publications
(12 citation statements)
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“…For each domain of ASCOT, there is one item with four response options, relating to four conceptual outcome states (ideal state, no unmet needs, some unmet needs and high unmet needs). ASCOT has been used extensively to assess care related outcomes in community dwelling service using populations in the UK (27)(28)(29), Europe (30)(31)(32) and more recently in the Australian older population (33)(34)(35)(36). Despite its high validity and reliability, barriers exist to engaging sections of the aged and disabled cohort to report on their own outcomes (37,38).…”
Section: Assessment Of Current Social Care Related Quality Of Life (Smentioning
confidence: 99%
“…For each domain of ASCOT, there is one item with four response options, relating to four conceptual outcome states (ideal state, no unmet needs, some unmet needs and high unmet needs). ASCOT has been used extensively to assess care related outcomes in community dwelling service using populations in the UK (27)(28)(29), Europe (30)(31)(32) and more recently in the Australian older population (33)(34)(35)(36). Despite its high validity and reliability, barriers exist to engaging sections of the aged and disabled cohort to report on their own outcomes (37,38).…”
Section: Assessment Of Current Social Care Related Quality Of Life (Smentioning
confidence: 99%
“…The Finnish respondents placed both highest and lowest values to attribute-levels of the higher-order control and occupation attributes. A comparison of the Finnish preference weights for the ASCOT instrument to the English, 3 Austrian, 17 and Japanese weights 73 also suggests that the control and occupation attributes were mostly valued ( Supplemental Tables S4 ). Although the estimated models had different scale factors, 74 we can study the relative size of the differences in SCRQoL by using one of the attribute-levels as a common denominator.…”
Section: Discussionmentioning
confidence: 99%
“…This limitation also exists in other studies. 3 , 17 Nevertheless, we adjusted the preference weights as in the English and Austrian preference studies, 3 , 17 and computed the standard errors of the adjusted preference weights. Second, regardless of the exclusion of those with short completion times before the end of the data collection, the used survey administration method did not allow us to observe internal and external incentives or impetuses during the experiment, such as respondent behavior, burden and engagement, or changes in the task environment.…”
Section: Discussionmentioning
confidence: 99%
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“…In addition to the raw score, a preference-weighted ASCOT score reflects the relative importance of outcomes in the individual QoL-domains in a country. While preference-weights for other German-speaking countries remain to be elicited, preference-weighted ASCOT scores for Austria can be generated by using the population-based weights [ 16 ].…”
Section: Methodsmentioning
confidence: 99%