School of Health and Related Research, University of Sheffield, Sheffield, UK.
Nursing, Midwifery and Allied Health Professions Research Unit, Glasgow Caledonian University, Glasgow, UK.
Health Technol Assess. 2020 Apr;24(19):1-176. doi: 10.3310/hta24190.
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%; < 0.0001) and 14.4% more than attention control did (95% confidence interval 10.8% to 18.1%). Most of this effect was maintained at 12 months ( = 219); the mean differences in change in word-finding score were 12.7% (95% confidence interval 8.7% to 16.7%) higher in the computerised speech and language therapy group ( = 74) than in the usual-care group ( = 84) and 9.3% (95% confidence interval 4.8% to 13.7%) higher in the computerised speech and language therapy group than in the attention control group ( = 61). Computerised speech and language therapy did not show significant improvements on the Therapy Outcome Measures or Communication Outcomes After Stroke scale compared with usual care or attention control. Primary cost-effectiveness analysis estimated an incremental cost per participant of £732.73 (95% credible interval £674.23 to £798.05). The incremental quality-adjusted life-year gain was 0.017 for computerised speech and language therapy compared with usual care, but its direction was uncertain (95% credible interval -0.05 to 0.10), resulting in an incremental cost-effectiveness ratio of £42,686 per quality-adjusted life-year gained. For mild and moderate word-finding difficulty subgroups, incremental cost-effectiveness ratios were £22,371 and £28,898 per quality-adjusted life-year gained, respectively, for computerised speech and language therapy compared with usual care.
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 ; Vol. 24, No. 19. See the NIHR Journals Library website for further project information. The Tavistock Trust for Aphasia provided additional support to enable people in the control groups to experience the intervention after the trial had ended.
患有失语症的人在中风后数月/年后可能通过言语和语言治疗改善沟通。然而,英国国民保健制度的言语和语言治疗在中风后会随着时间的推移而减少。
本试验评估了自我管理的计算机化言语和语言治疗作为附加治疗提供额外治疗的临床效果和成本效益。
一项实用、优势、单盲、平行组、个体随机(分层区组随机,按单词查找严重程度和地点分层)辅助试验。
英国国民保健制度的 21 个言语和语言治疗部门。
中风后患有失语症(由言语和语言治疗师诊断)且存在长期(>4 个月)单词查找困难的患者。
两组分别为(1)常规护理;(2)由言语和语言治疗师量身定制的日常自我管理计算机化单词查找治疗,由志愿者/言语和语言治疗助理提供支持,持续 6 个月,加上常规护理(计算机化言语和语言治疗);(3)活动/注意力控制(完成拼图和接听研究人员的电话,持续 6 个月),加上常规护理。
共同的主要结局——在专门的命名测试中找到个人相关单词的能力变化(损伤)和使用 Therapy Outcome Measures(活动)的会话中功能交流变化,在随机分组后 6 个月评估。关键次要结局是参与者使用 Communication Outcomes After Stroke 问卷评估的沟通和生活质量感知,在 6 个月时评估。结果由言语和语言治疗师使用标准程序评估。成本效益使用治疗成本和可及的 EuroQol-5 Dimensions,五个等级版本,衡量质量调整生命年进行估计。
共有 818 名患者符合入选标准,278 名患者于 2014 年 10 月至 2016 年 8 月被随机分组。共有 240 名参与者(常规护理 86 名、计算机化言语和语言治疗 83 名、注意力控制 71 名)在 6 个月时对修改后的意向治疗分析作出贡献。常规护理组的单词查找平均改善率为 1.1%(标准差 11.2%),计算机化言语和语言治疗组为 16.4%(标准差 15.3%),注意力控制组为 2.4%(标准差 8.8%)。计算机化言语和语言治疗组比常规护理组多改善 16.2%的单词查找(95%置信区间 12.7%至 19.6%;<0.0001),比注意力控制组多改善 14.4%(95%置信区间 10.8%至 18.1%)。大部分效果在 12 个月(n=219)时得到维持;计算机化言语和语言治疗组在单词查找评分变化方面的平均差异为 12.7%(95%置信区间 8.7%至 16.7%)高于常规护理组(n=84),为 9.3%(95%置信区间 4.8%至 13.7%)高于注意力控制组(n=61)。与常规护理或注意力控制相比,计算机化言语和语言治疗在 Therapy Outcome Measures 或 Communication Outcomes After Stroke 量表上并未显示出显著改善。主要成本效益分析估计每个参与者的增量成本为 732.73 英镑(95%可信区间 674.23 英镑至 798.05 英镑)。与常规护理相比,计算机化言语和语言治疗的增量质量调整生命年增益为 0.017,但方向不确定(95%可信区间 -0.05 至 0.10),导致增量成本效益比为每获得一个质量调整生命年增益 42686 英镑。对于轻度和中度单词查找困难亚组,与常规护理相比,计算机化言语和语言治疗的增量成本效益比分别为每获得一个质量调整生命年增益 22371 英镑和 28898 英镑。
本试验排除了非英语语言使用者,可及的 EuroQol-5 Dimensions,五个等级版本未经验证,注意力控制保真度的测量受到限制。
计算机化言语和语言治疗实现了额外的自我管理言语和语言治疗,对中风后长期个人相关单词的查找有显著改善(作为计算机化言语和语言治疗的具体目标)。增益并未导致对话或生活质量的改善。成本效益不确定,原因是质量调整生命年增益存在不确定性,但对于轻度和中度单词查找困难的参与者,计算机化言语和语言治疗可能更具成本效益。探索帮助失语症患者在功能交流环境中使用新单词的方法是当务之急。
当前对照试验 ISRCTN68798818。
本项目由英国国家卫生研究院(NIHR)卫生技术评估计划资助,将在 ; Vol. 24, No. 19 中全文发表。有关该试验的进一步项目信息,请参见 NIHR 期刊库网站。塔维斯托克信托基金会为失语症患者提供了额外的支持,以便在试验结束后让对照组的人体验干预措施。