2010
DOI: 10.1080/02687031003615235
|View full text |Cite
|
Sign up to set email alerts
|

Social validation as a measure of improvement after aphasia treatment: Its usefulness and influencing factors

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
22
0
1

Year Published

2011
2011
2023
2023

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 20 publications
(23 citation statements)
references
References 24 publications
0
22
0
1
Order By: Relevance
“…Kagan and colleagues (2008) reported that policy makers and funding sources recommend the use of patient-reported outcomes when assessing the effects of treatment. Cupit, Rochon, Leonard, and Laird (2010) suggest that social validation measures may serve as proxy measurements for participants' success in interacting with community members. Both forms of outcome measures have the potential to provide information about the impact of treatment on the everyday life of participants with aphasia.…”
Section: Discussionmentioning
confidence: 98%
“…Kagan and colleagues (2008) reported that policy makers and funding sources recommend the use of patient-reported outcomes when assessing the effects of treatment. Cupit, Rochon, Leonard, and Laird (2010) suggest that social validation measures may serve as proxy measurements for participants' success in interacting with community members. Both forms of outcome measures have the potential to provide information about the impact of treatment on the everyday life of participants with aphasia.…”
Section: Discussionmentioning
confidence: 98%
“…B. Ross & Wertz, 1999), suggesting they are consistent with person-centered frameworks. MCA has also been reported to correlate well with formal measures of overall severity (Kong, 2011;Kong et al, 2016), microlinguistic measures (Dalton & Richardson, 2015), confrontation naming (Richardson et al, 2018), listener perceptions (Cupit et al, 2010;K. B. Ross & Wertz, 1999), and conversational informativeness (Doyle, Goda, & Spencer, 1995).…”
Section: Discourse Informativeness Measuresmentioning
confidence: 91%
“…MCA is sensitive to differences between control speakers and individuals with aphasia (Kong, 2009;Kong, Whiteside, & Bargmann, 2016;Nicholas & Brookshire, 1995), as well as between individuals with fluent and nonfluent aphasia (Kong et al, 2016). Informativeness measures (CIUs, propositions, % accurate/complete [AC] MCs) may be useful for capturing treatment response (Albright & Purves, 2008;Avent & Austermann, 2003;Coelho, McHugh, & Boyle, 2000;Cupit, Rochon, Leonard, & Laird, 2010;Stark, 2010) and are correlated with listener perceptions (Cupit et al, 2010;K. B. Ross & Wertz, 1999), suggesting they are consistent with person-centered frameworks.…”
Section: Discourse Informativeness Measuresmentioning
confidence: 99%
“…Crucially, AC efficiency and CoreLex scores are sensitive enough to detect differences between healthy controls and those who score above the cut-off for a diagnosis of aphasia, consistent with Fromm and colleagues. 58 Combined with previous research reporting changes in similar informativeness measures in response to treatment, [81][82][83][84][85] and their relationship to measures of quality of life, 62,81 these results suggest that MCA, CoreLex, and derived efficiency scores are informative discourse measures with standardized administration and accompanying normative data 6,32,40,56,57,[59][60][61]64,65 that may be appropriate for use as primary clinical outcomes as defined by Brady et al 2 Primary Progressive Aphasia This is the first study to examine discourse informativeness, typicality, and efficiency in adults with PPA. Individuals with PPA produce discourse that is less informative and efficient, with fewer typical lexical items than healthy controls.…”
Section: Stable Aphasiamentioning
confidence: 85%