Computerised speech and language therapy or attention control added to usual care for people with long-term post-stroke aphasia: the Big CACTUS three-arm RCT.


Journal

Health technology assessment (Winchester, England)
ISSN: 2046-4924
Titre abrégé: Health Technol Assess
Pays: England
ID NLM: 9706284

Informations de publication

Date de publication:
04 2020
Historique:
entrez: 6 5 2020
pubmed: 6 5 2020
medline: 11 9 2021
Statut: ppublish

Résumé

People with aphasia may improve their communication with speech and language therapy many months/years after stroke. However, NHS speech and language therapy reduces in availability over time post stroke. This trial evaluated the clinical effectiveness and cost-effectiveness of self-managed computerised speech and language therapy to provide additional therapy. A pragmatic, superiority, single-blind, parallel-group, individually randomised (stratified block randomisation, stratified by word-finding severity and site) adjunct trial. Twenty-one UK NHS speech and language therapy departments. People with post-stroke aphasia (diagnosed by a speech and language therapist) with long-standing (> 4 months) word-finding difficulties. The groups were (1) usual care; (2) daily self-managed computerised word-finding therapy tailored by speech and language therapists and supported by volunteers/speech and language therapy assistants for 6 months plus usual care (computerised speech and language therapy); and (3) activity/attention control (completion of puzzles and receipt of telephone calls from a researcher for 6 months) plus usual care. Co-primary outcomes - change in ability to find treated words of personal relevance in a bespoke naming test (impairment) and change in functional communication in conversation rated on the activity scale of the Therapy Outcome Measures (activity) 6 months after randomisation. A key secondary outcome was participant-rated perception of communication and quality of life using the Communication Outcomes After Stroke questionnaire at 6 months. Outcomes were assessed by speech and language therapists using standardised procedures. Cost-effectiveness was estimated using treatment costs and an accessible EuroQol-5 Dimensions, five-level version, measuring quality-adjusted life-years. A total of 818 patients were assessed for eligibility and 278 participants were randomised between October 2014 and August 2016. A total of 240 participants (86 usual care, 83 computerised speech and language therapy, 71 attention control) contributed to modified intention-to-treat analysis at 6 months. The mean improvements in word-finding were 1.1% (standard deviation 11.2%) for usual care, 16.4% (standard deviation 15.3%) for computerised speech and language therapy and 2.4% (standard deviation 8.8%) for attention control. Computerised speech and language therapy improved word-finding 16.2% more than usual care did (95% confidence interval 12.7% to 19.6%; This trial excluded non-English-language speakers, the accessible EuroQol-5 Dimensions, five-level version, was not validated and the measurement of attention control fidelity was limited. Computerised speech and language therapy enabled additional self-managed speech and language therapy, contributing to significant improvement in finding personally relevant words (as specifically targeted by computerised speech and language therapy) long term post stroke. Gains did not lead to improvements in conversation or quality of life. Cost-effectiveness is uncertain owing to uncertainty around the quality-adjusted life-year gain, but computerised speech and language therapy may be more cost-effective for participants with mild and moderate word-finding difficulties. Exploring ways of helping people with aphasia to use new words in functional communication contexts is a priority. Current Controlled Trials ISRCTN68798818. This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Aphasia is a communication disorder that can be caused by a stroke. It affects a person’s understanding of spoken words and their talking, reading and writing abilities. Communication may improve months, or years, after a stroke with speech and language therapy. Many patients want more speech and language therapy than the NHS can provide. The Big CACTUS (clinical and cost-effectiveness of aphasia computer treatment versus usual stimulation or attention control long term post-stroke) trial evaluated the use of speech and language therapy software for people with aphasia to practise finding words independently at home on their own computer or one loaned by the NHS. People with aphasia who had had a stroke at least 4 months previously were randomly allocated to one of three groups: usual speech and language therapy caredaily use of computerised speech and language therapy for 6 months, tailored by a speech and language therapist and supported by a volunteer or speech and language therapy assistantdaily completion of puzzles and supportive telephone calls from a researcher to mimic the activity/attention the computerised speech and language therapy group received. All groups received usual speech and language therapy. A total of 278 people with aphasia took part in this trial, from 21 UK NHS speech and language therapy departments. They had their strokes between 4 months and 36 years previously. Computerised speech and language therapy enabled more practice (28 hours on average) than usual speech and language therapy (3.8 hours). The computerised speech and language therapy group significantly improved their ability to say words they chose to practise compared with those in the usual speech and language therapy or puzzle book groups. Although computerised speech and language therapy can help people with aphasia to learn new words for years after stroke, no improvements in conversation or quality of life were seen. The cost-effectiveness for the NHS is still uncertain. However, our best estimate is that it is unlikely to be cost-effective for everyone with aphasia, but it may be cost-effective for people with mild and moderate word-finding difficulties. Next steps will focus on how to encourage use of new words in conversation to have an impact on quality of life.

Sections du résumé

BACKGROUND
People with aphasia may improve their communication with speech and language therapy many months/years after stroke. However, NHS speech and language therapy reduces in availability over time post stroke.
OBJECTIVE
This trial evaluated the clinical effectiveness and cost-effectiveness of self-managed computerised speech and language therapy to provide additional therapy.
DESIGN
A pragmatic, superiority, single-blind, parallel-group, individually randomised (stratified block randomisation, stratified by word-finding severity and site) adjunct trial.
SETTING
Twenty-one UK NHS speech and language therapy departments.
PARTICIPANTS
People with post-stroke aphasia (diagnosed by a speech and language therapist) with long-standing (> 4 months) word-finding difficulties.
INTERVENTIONS
The groups were (1) usual care; (2) daily self-managed computerised word-finding therapy tailored by speech and language therapists and supported by volunteers/speech and language therapy assistants for 6 months plus usual care (computerised speech and language therapy); and (3) activity/attention control (completion of puzzles and receipt of telephone calls from a researcher for 6 months) plus usual care.
MAIN OUTCOME MEASURES
Co-primary outcomes - change in ability to find treated words of personal relevance in a bespoke naming test (impairment) and change in functional communication in conversation rated on the activity scale of the Therapy Outcome Measures (activity) 6 months after randomisation. A key secondary outcome was participant-rated perception of communication and quality of life using the Communication Outcomes After Stroke questionnaire at 6 months. Outcomes were assessed by speech and language therapists using standardised procedures. Cost-effectiveness was estimated using treatment costs and an accessible EuroQol-5 Dimensions, five-level version, measuring quality-adjusted life-years.
RESULTS
A total of 818 patients were assessed for eligibility and 278 participants were randomised between October 2014 and August 2016. A total of 240 participants (86 usual care, 83 computerised speech and language therapy, 71 attention control) contributed to modified intention-to-treat analysis at 6 months. The mean improvements in word-finding were 1.1% (standard deviation 11.2%) for usual care, 16.4% (standard deviation 15.3%) for computerised speech and language therapy and 2.4% (standard deviation 8.8%) for attention control. Computerised speech and language therapy improved word-finding 16.2% more than usual care did (95% confidence interval 12.7% to 19.6%;
LIMITATIONS
This trial excluded non-English-language speakers, the accessible EuroQol-5 Dimensions, five-level version, was not validated and the measurement of attention control fidelity was limited.
CONCLUSIONS
Computerised speech and language therapy enabled additional self-managed speech and language therapy, contributing to significant improvement in finding personally relevant words (as specifically targeted by computerised speech and language therapy) long term post stroke. Gains did not lead to improvements in conversation or quality of life. Cost-effectiveness is uncertain owing to uncertainty around the quality-adjusted life-year gain, but computerised speech and language therapy may be more cost-effective for participants with mild and moderate word-finding difficulties. Exploring ways of helping people with aphasia to use new words in functional communication contexts is a priority.
TRIAL REGISTRATION
Current Controlled Trials ISRCTN68798818.
FUNDING
This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in
Aphasia is a communication disorder that can be caused by a stroke. It affects a person’s understanding of spoken words and their talking, reading and writing abilities. Communication may improve months, or years, after a stroke with speech and language therapy. Many patients want more speech and language therapy than the NHS can provide. The Big CACTUS (clinical and cost-effectiveness of aphasia computer treatment versus usual stimulation or attention control long term post-stroke) trial evaluated the use of speech and language therapy software for people with aphasia to practise finding words independently at home on their own computer or one loaned by the NHS. People with aphasia who had had a stroke at least 4 months previously were randomly allocated to one of three groups: usual speech and language therapy caredaily use of computerised speech and language therapy for 6 months, tailored by a speech and language therapist and supported by a volunteer or speech and language therapy assistantdaily completion of puzzles and supportive telephone calls from a researcher to mimic the activity/attention the computerised speech and language therapy group received. All groups received usual speech and language therapy. A total of 278 people with aphasia took part in this trial, from 21 UK NHS speech and language therapy departments. They had their strokes between 4 months and 36 years previously. Computerised speech and language therapy enabled more practice (28 hours on average) than usual speech and language therapy (3.8 hours). The computerised speech and language therapy group significantly improved their ability to say words they chose to practise compared with those in the usual speech and language therapy or puzzle book groups. Although computerised speech and language therapy can help people with aphasia to learn new words for years after stroke, no improvements in conversation or quality of life were seen. The cost-effectiveness for the NHS is still uncertain. However, our best estimate is that it is unlikely to be cost-effective for everyone with aphasia, but it may be cost-effective for people with mild and moderate word-finding difficulties. Next steps will focus on how to encourage use of new words in conversation to have an impact on quality of life.

Autres résumés

Type: plain-language-summary (eng)
Aphasia is a communication disorder that can be caused by a stroke. It affects a person’s understanding of spoken words and their talking, reading and writing abilities. Communication may improve months, or years, after a stroke with speech and language therapy. Many patients want more speech and language therapy than the NHS can provide. The Big CACTUS (clinical and cost-effectiveness of aphasia computer treatment versus usual stimulation or attention control long term post-stroke) trial evaluated the use of speech and language therapy software for people with aphasia to practise finding words independently at home on their own computer or one loaned by the NHS. People with aphasia who had had a stroke at least 4 months previously were randomly allocated to one of three groups: usual speech and language therapy caredaily use of computerised speech and language therapy for 6 months, tailored by a speech and language therapist and supported by a volunteer or speech and language therapy assistantdaily completion of puzzles and supportive telephone calls from a researcher to mimic the activity/attention the computerised speech and language therapy group received. All groups received usual speech and language therapy. A total of 278 people with aphasia took part in this trial, from 21 UK NHS speech and language therapy departments. They had their strokes between 4 months and 36 years previously. Computerised speech and language therapy enabled more practice (28 hours on average) than usual speech and language therapy (3.8 hours). The computerised speech and language therapy group significantly improved their ability to say words they chose to practise compared with those in the usual speech and language therapy or puzzle book groups. Although computerised speech and language therapy can help people with aphasia to learn new words for years after stroke, no improvements in conversation or quality of life were seen. The cost-effectiveness for the NHS is still uncertain. However, our best estimate is that it is unlikely to be cost-effective for everyone with aphasia, but it may be cost-effective for people with mild and moderate word-finding difficulties. Next steps will focus on how to encourage use of new words in conversation to have an impact on quality of life.

Identifiants

pubmed: 32369007
doi: 10.3310/hta24190
pmc: PMC7232133
doi:

Banques de données

ISRCTN
['ISRCTN68798818']

Types de publication

Journal Article Pragmatic Clinical Trial Randomized Controlled Trial Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-176

Subventions

Organisme : Department of Health
ID : 12/21/01
Pays : United Kingdom

Déclaration de conflit d'intérêts

All authors declare financial support from The Tavistock Trust for Aphasia. Rebecca Palmer was a National Institute for Health Research (NIHR)/Higher Education Funding Council for England-funded senior clinical academic lecturer until June 2017. She has current funding from the Stroke Association for a Doctor of Philosophy (PhD) student conducting work on fidelity to the intervention. The Stroke Association had previously funded early development work on the software used in the intervention but she was not involved in that. She was author of the intervention manual. Nicholas Latimer is supported by the NIHR (Post-doctoral Fellowship, reference PDF-2015-08-022) and is currently supported by Yorkshire Cancer Research (award S406NL). Pam Enderby has a patent on the Therapy Outcome Measures (2015) used in this trial from which she receives royalties. Audrey Bowen is funded by the Stroke Association and the NIHR Collaborations for Leadership in Applied Health Research and Care Greater Manchester. She co-authored the Communication Outcome after Stroke (COAST) and Carer COAST tools, which are patented. Madeleine Harrison receives PhD fellowship funding from the Stroke Association. Esther Herbert received a NIHR Research Methods Fellowship, outside the submitted work. Cindy Cooper sits on the NIHR Clinical Trials Unit (CTU) Standing Advisory Committee (2016 to present) and the UK Clinical Research Collaboration Registered CTU Network Executive Group (2015 to present).

Références

J Neurol Neurosurg Psychiatry. 1982 Nov;45(11):957-61
pubmed: 6184453
Lancet. 2002 Aug 31;360(9334):711-5
pubmed: 12241891
Stat Med. 2011 Feb 20;30(4):377-99
pubmed: 21225900
Health Econ. 2018 Jan;27(1):7-22
pubmed: 28833869
Pharmacoecon Open. 2017 Sep;1(3):175-184
pubmed: 29441497
Stat Methods Med Res. 2007 Jun;16(3):219-42
pubmed: 17621469
J Intern Med. 2001 May;249(5):413-22
pubmed: 11350565
Age Ageing. 2014 May;43(3):429-31
pubmed: 24646605
Arch Phys Med Rehabil. 2007 Apr;88(4):529-36
pubmed: 17398257
BMJ. 2018 Jan 3;360:j5748
pubmed: 29298779
Int J Speech Lang Pathol. 2011 Feb;13(1):21-7
pubmed: 21329407
Med Decis Making. 2014 Apr;34(3):311-26
pubmed: 24246566
Stat Med. 1999 Aug 15;18(15):1905-42
pubmed: 10532877
Cochrane Database Syst Rev. 2012 May 16;(5):CD000425
pubmed: 22592672
Stroke. 2001 Sep;32(9):2131-6
pubmed: 11546907
Top Stroke Rehabil. 2010 Nov-Dec;17(6):423-31
pubmed: 21239366
PLoS Med. 2011 May;8(5):e1001033
pubmed: 21610863
Stroke. 2012 Jul;43(7):1904-11
pubmed: 22733794
Int J Speech Lang Pathol. 2011 Feb;13(1):36-42
pubmed: 21329409
Ann Intern Med. 2017 Jul 4;167(1):40-47
pubmed: 28630973
BMJ. 1999 Sep 4;319(7210):635-8
pubmed: 10473486
Ann Intern Med. 2004 Nov 16;141(10):781-8
pubmed: 15545678
Lancet Neurol. 2019 Sep;18(9):821-833
pubmed: 31397288
Cochrane Database Syst Rev. 2016 Jun 01;(6):CD000425
pubmed: 27245310
J Speech Lang Hear Res. 2008 Feb;51(1):S225-39
pubmed: 18230848
Trials. 2015 Jan 27;16:18
pubmed: 25623162
Med Decis Making. 2010 Mar-Apr;30(2):155-62
pubmed: 20040743
Int J Technol Assess Health Care. 2013 Oct;29(4):402-9
pubmed: 24290333
BMJ. 2014 Mar 07;348:g1687
pubmed: 24609605
PLoS Med. 2017 Apr 11;14(4):e1002280
pubmed: 28399154
Int J Lang Commun Disord. 2013 Sep-Oct;48(5):508-21
pubmed: 24033650
Int J Stroke. 2019 Feb;14(2):180-185
pubmed: 30303810
Value Health. 2012 Jul-Aug;15(5):708-15
pubmed: 22867780
Clin Rehabil. 2009 Sep;23(9):846-56
pubmed: 19482891
Cortex. 2013 Oct;49(9):2345-57
pubmed: 23608067
BMJ. 2010 Mar 23;340:c869
pubmed: 20332511
Value Health. 2010 Aug;13(5):509-18
pubmed: 20230546
Health Econ. 2005 May;14(5):487-96
pubmed: 15497198
Clin Rehabil. 2018 Oct;32(10):1383-1395
pubmed: 29911416
Lancet. 2017 Apr 15;389(10078):1528-1538
pubmed: 28256356
Disabil Rehabil. 2019 Mar;41(5):564-573
pubmed: 29130767
Clin Rehabil. 2008 Dec;22(12):1083-94
pubmed: 19052247
Pharm Stat. 2006 Jan-Mar;5(1):29-37
pubmed: 17080926
Neuropsychol Rehabil. 2006 Apr;16(2):129-54
pubmed: 16565031
Biometrics. 2004 Mar;60(1):284; author reply 284-5
pubmed: 15032802
BMC Med Res Methodol. 2014 Jun 05;14:75
pubmed: 24903709
Pharmacoecon Open. 2018 Sep;2(3):225-231
pubmed: 29802576
Med Decis Making. 2016 Feb;36(2):176-86
pubmed: 26377370
Health Econ. 2004 May;13(5):461-75
pubmed: 15127426
Disabil Rehabil. 2011;33(3):229-42
pubmed: 21128833
Int J Technol Assess Health Care. 1993 Winter;9(1):26-36
pubmed: 8423113
Health Technol Assess. 2012 May;16(26):1-160
pubmed: 22613690
Top Stroke Rehabil. 2012 Nov-Dec;19(6):523-35
pubmed: 23192717
Cerebrovasc Dis. 2000 Nov-Dec;10(6):455-61
pubmed: 11070376
Neuropsychol Rehabil. 2018 Jul;28(5):818-831
pubmed: 26926872
BMJ. 2008 Nov 11;337:a2390
pubmed: 19001484
Stroke. 2004 Feb;35(2):607-12
pubmed: 14726549

Auteurs

Rebecca Palmer (R)

School of Health and Related Research, University of Sheffield, Sheffield, UK.

Munyaradzi Dimairo (M)

School of Health and Related Research, University of Sheffield, Sheffield, UK.

Nicholas Latimer (N)

School of Health and Related Research, University of Sheffield, Sheffield, UK.

Elizabeth Cross (E)

School of Health and Related Research, University of Sheffield, Sheffield, UK.

Marian Brady (M)

Nursing, Midwifery and Allied Health Professions Research Unit, Glasgow Caledonian University, Glasgow, UK.

Pam Enderby (P)

School of Health and Related Research, University of Sheffield, Sheffield, UK.

Audrey Bowen (A)

Division of Neuroscience & Experimental Psychology, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.

Steven Julious (S)

School of Health and Related Research, University of Sheffield, Sheffield, UK.

Madeleine Harrison (M)

School of Health and Related Research, University of Sheffield, Sheffield, UK.

Abualbishr Alshreef (A)

School of Health and Related Research, University of Sheffield, Sheffield, UK.

Ellen Bradley (E)

School of Health and Related Research, University of Sheffield, Sheffield, UK.

Arjun Bhadhuri (A)

School of Health and Related Research, University of Sheffield, Sheffield, UK.

Tim Chater (T)

School of Health and Related Research, University of Sheffield, Sheffield, UK.

Helen Hughes (H)

School of Health and Related Research, University of Sheffield, Sheffield, UK.
Speech and Language Therapy, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.

Helen Witts (H)

School of Health and Related Research, University of Sheffield, Sheffield, UK.
Speech and Language Therapy, Derbyshire Community Health Services NHS Foundation Trust, Chesterfield, UK.

Esther Herbert (E)

School of Health and Related Research, University of Sheffield, Sheffield, UK.

Cindy Cooper (C)

School of Health and Related Research, University of Sheffield, Sheffield, UK.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH