2020
DOI: 10.1080/09638288.2020.1844319
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Preference-based measurement of mobility-related quality of life: developing the MobQoL-7D health state classification system

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Cited by 7 publications
(3 citation statements)
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References 45 publications
(73 reference statements)
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“…We first conducted Rasch analysis as recommended by Tennant and Conaghan 31 and applied by developers of CSPBIs. 15 , 16 , 32 62 Data that fit the Rasch model satisfy the condition for interval-level data. 31 In addition, item and person parameters are independent of the sample.…”
Section: Methodsmentioning
confidence: 99%
“…We first conducted Rasch analysis as recommended by Tennant and Conaghan 31 and applied by developers of CSPBIs. 15 , 16 , 32 62 Data that fit the Rasch model satisfy the condition for interval-level data. 31 In addition, item and person parameters are independent of the sample.…”
Section: Methodsmentioning
confidence: 99%
“…For instance, the preference among people with mild to severe hemiparesis after a stroke determines which lower limb is usually used for support during an upright stance. For those with more severe disabilities, the convenience field determines the supporting lower extremity [ 15 , 16 ]. Given the findings from the research listed above, rather than single-item questions, lateral preference should be evaluated using multi-item inventories (e.g., writing for handedness).…”
Section: Introductionmentioning
confidence: 99%
“…Some months after receipt of the equipment, a follow-up tool, Part C, is sent to the user to complete, requesting a re-rating of their satisfaction against their chosen outcomes. Ongoing work on the quality of life of users of mobility equipment by the authors has shown that the general outcomes desired by adults are closely related [8], hence the wording of this tool was adapted for use with adults as WATCH-Ad. The tools can be used as paper based (See Supporting information 1) or can be completed electronically (see https://cheme.bangor.ac.uk/watch.php).…”
Section: Introductionmentioning
confidence: 99%