Semin Speech Lang
DOI: 10.1055/s-0042-1749432
Data-Based Research Articles
Sarah Arnett
1
Department of Speech, Language, and Hearing Sciences, University of Connecticut, North Windham, Connecticut
,
Jennifer Mozeiko
1
Department of Speech, Language, and Hearing Sciences, University of Connecticut, North Windham, Connecticut
› Author Affiliations
Funding This research was supported by the IDEA grant program affiliated with the University of Connecticut's Office of Undergraduate Research and by a New Century Scholars Research grant from the American Speech-Language Hearing Foundation.
Buy Article Permissions and Reprints
Abstract
Rating scales are frequently used in research and clinical practice with people with aphasia (PWA) to characterize communication in the home environment. However, it remains unclear whether responses provided on rating scales accurately reflect the communication that occurs. We aim to evaluate the accuracy of PWA's self-perceptions of verbal language use as measured by a rating scale and determine whether this accuracy is different from that of non–brain-injured (NBI) participants. Four PWA and four NBI participants completed a rating scale estimating their amount of verbal language production as compared with their communication partner. Audio recordings from participants' home environments were analyzed for proportion of words and conversational turns contributed by the participant, which were compared with rating scale estimates. Perceptions of verbal language output among both PWA and NBI participants showed variable accuracy, with discrepancies between estimates and objective data across both groups. The reliability of rating scales in quantifying language output appears questionable, suggesting they may not accurately represent naturalistic language environments of PWA. Additional research with larger sample sizes is warranted to investigate whether this trend is consistent across a larger population of individuals with aphasia.
Keywords
aphasia -
rating scales -
home environment -
self-perception
Recognition of Assistance
This work was made possible by the work of three undergraduate research assistants to manually transcribe recorded sections of conversation. We thank Andrea Polin, Shivani Padhi, and Areej Sayeed for their investment of time and dedication.
Publication History
Article published online:
07 June 2022
© 2022. Thieme. All rights reserved.
Thieme Medical Publishers, Inc.
333 Seventh Avenue, 18th Floor, New York, NY 10001, USA
References
1
Meinzer M,
Djundja D,
Barthel G,
Elbert T,
Rockstroh B.
Long-term stability of improved language functions in chronic aphasia after constraint-induced aphasia therapy. Stroke 2005; 36 (07) 1462-1466
2
Crockett DJ.
A comparison of empirically derived groups of aphasic patients on the Neurosensory Center Comprehensive Examination for Aphasia. J Clin Psychol 1977; 33 (1, S1) 194-198
3
Hilari K,
Wiggins R,
Roy P,
Byng S,
Smith S.
Predictors of health-related quality of life (HRQL) in people with chronic aphasia. Aphasiology 2003; 17 (04) 365-381
4
Lomas J,
Pickard L,
Bester S,
Elbard H,
Finlayson A,
Zoghaib C.
The communicative effectiveness index: development and psychometric evaluation of a functional communication measure for adult aphasia. J Speech Hear Disord 1989; 54 (01) 113-124
5
Frattali C,
Thompson CK,
Holland AL,
Wohl CB,
Ferketic M.
Functional Assessment of Communication Skills for Adult. Rockville, MD: American Speech-Language-Hearing Association; 1995
6
Kertesz A.
The Western Aphasia Battery. New York: Grune & Stratton; 1982
7
Spreen O,
Risser AH.
Assessment of Aphasia. New York, NY: Oxford University Press; 2003
8
Prins R,
Bastiaanse R.
Analyzing the spontaneous speech of aphasic speakers. Aphasiology 2004; 18 (12) 1075-1091
9
Paul DR,
Frattali CM,
Holland AL,
Thompson CK,
Caperton CJ,
Slater SC.
ASHA Quality of Communication Life Scale (QCL). Rockville, MD: American Speech-Language-Hearing Association; 2003
10
Cherney LR,
Babbitt EM,
Semik P,
Heinemann AW.
Psychometric properties of the communication Confidence Rating Scale for Aphasia (CCRSA): phase 1. Top Stroke Rehabil 2011; 18 (04) 352-360
11
Grande M,
Hussmann K,
Bay E.
et al.
Basic parameters of spontaneous speech as a sensitive method for measuring change during the course of aphasia. Int J Lang Commun Disord 2008; 43 (04) 408-426
12
Fox S,
Armstrong E,
Boles L.
Conversational treatment in mild aphasia: a case study. Aphasiology 2009; 23 (7–8): 951-964
13
Jacobs BJ.
Social validity of changes in informativeness and efficiency of aphasic discourse following linguistic specific treatment (LST). Brain Lang 2001; 78 (01) 115-127
14
Raymer AM,
McHose B,
Smith KG,
Iman L,
Ambrose A,
Casselton C.
Contrasting effects of errorless naming treatment and gestural facilitation for word retrieval in aphasia. Neuropsychol Rehabil 2012; 22 (02) 235-266
15
Gillespie A,
Murphy J,
Place M.
Divergences of perspective between people with aphasia and their family caregivers. Aphasiology 2010; 24 (12) 1559-1575
16
Horowitz A,
Goodman CR,
Reinhardt JP.
Congruence between disabled elders and their primary caregivers. Gerontologist 2004; 44 (04) 532-542
17
Walters K,
Iliffe S,
Tai SS,
Orrell M.
Assessing needs from patient, carer and professional perspectives: the Camberwell Assessment of need for Elderly people in primary care. Age Ageing 2000; 29 (06) 505-510
18
Williamson DS,
Richman M,
Redmond SC.
Applying the correlation between aphasia severity and quality of life measures to a life participation approach to aphasia. Top Stroke Rehabil 2011; 18 (02) 101-105
19
Hilari K,
Owen S,
Farrelly SJ.
Proxy and self-report agreement on the stroke and aphasia quality of life scale-39. J Neurol Neurosurg Psychiatry 2007; 78 (10) 1072-1075
20
Crockford C,
Lesser R.
Assessing functional communication in aphasia: clinical utility and time demands of three methods. Eur J Disord Commun 1994; 29 (02) 165-182
21
Wilson SM,
Eriksson DK,
Schneck SM,
Lucanie JM.
A quick aphasia battery for efficient, reliable, and multidimensional assessment of language function. PLoS One 2018; 13 (02) e0192773
22
Brookshire RH,
Nicholas LE.
Discourse Comprehension Test. Communication Skill Builders. ; 1993
23
Hilari K,
Byng S,
Lamping DL,
Smith SC.
Stroke and Aphasia Quality of Life Scale-39 (SAQOL-39): evaluation of acceptability, reliability, and validity. Stroke 2003; 34 (08) 1944-1950
24
Burckhardt CS,
Anderson KL.
The Quality of Life Scale (QOLS): reliability, validity, and utilization. Health Qual Life Outcomes 2003; 1 (01) 60
25
Li L,
Vikani AR,
Harris GC,
Lin FR.
Feasibility study to quantify the auditory and social environment of older adults using a digital language processor. Otol Neurotol 2014; 35 (08) 1301-1305
26
Wang Z,
Pan X,
Miller KF,
Cortina KS.
Automatic classification of activities in classroom discourse. Comput Educ 2014; 78: 115-123
27
Wang Z,
Miller K,
Cortina K.
Using the LENA in teacher training: promoting student involvement through automated feedback. Unterrichswissenschaft. 2013; 4: 290-305
28
Ramírez-Esparza N,
García-Sierra A,
Kuhl PK.
Look who's talking: speech style and social context in language input to infants are linked to concurrent and future speech development. Dev Sci 2014; 17 (06) 880-891
29
Nicholas LE,
Brookshire RH.
A system for quantifying the informativeness and efficiency of the connected speech of adults with aphasia. J Speech Hear Res 1993; 36 (02) 338-350
30
Fridriksson J,
Nettles C,
Davis M,
Morrow L,
Montgomery A.
Functional communication and executive function in aphasia. Clin Linguist Phon 2006; 20 (06) 401-410
31
van der Stelt CM,
Fama ME,
Mccall JD,
Snider SF,
Turkeltaub PE.
Intellectual awareness of naming abilities in people with chronic post-stroke aphasia. Neuropsychologia 2021; 160: 107961
32
Fischler I.
Attention, resource allocation, and language. . In: Aphasia and Language: Theory to Practice. The Science and Practice of Neuropsychology. New York, NY: Guilford Press; 2000: 348-371
33
Murray LL.
Review attention and aphasia: theory, research and clinical implications. Aphasiology 1999; 13 (02) 91-111
留言 (0)