Moyse Kathryn, Enderby Pamela, Chadd Katie, Gadhok Kamini, Bedwell Mark, Guest Patrick
Royal College of Speech and Language Therapists, London, United Kingdom
Health Services Research, The University of Sheffield, Sheffield, UK.
BMJ Health Care Inform. 2020 May;27(1). doi: 10.1136/bmjhci-2019-100085.
Evidencing the impact of speech and language therapy interventions is challenging. The UK's professional body for speech and language therapists (SLTs) is supporting a consistent approach to outcome measurement and analysis using Therapy Outcome Measures (TOMs).
To develop a digital solution for collecting TOMs data, evaluate the impact of therapeutic interventions and explore contributing factors to outcome variation across clinical areas.
Agile methodology was applied to software development. Organisations were recruited to provide data. Criteria were identified to exemplify outcome variability.
A digital tool was developed. 21 organisations provided data on 16 356 individuals. Improvement in at least one domain of TOMs occurred in 77.1% of instances. Data for two clinical areas exemplify the tool's effectiveness in highlighting the impact of speech and language therapy.
This established outcomes data set can be used to evaluate the impact of speech and language therapy, and explore variation in outcomes.
证明言语和语言治疗干预措施的效果具有挑战性。英国言语和语言治疗师专业机构正在支持采用一致的方法，使用治疗结果测量工具（TOMs）进行结果测量和分析。
开发一种用于收集TOMs数据的数字解决方案，评估治疗干预措施的效果，并探讨不同临床领域结果差异的影响因素。
敏捷方法应用于软件开发。招募组织提供数据。确定标准以举例说明结果的变异性。
开发了一种数字工具。21个组织提供了16356人的数据。77.1%的案例中，TOMs至少有一个领域有所改善。两个临床领域的数据例证了该工具在突出言语和语言治疗效果方面的有效性。
这个既定的结果数据集可用于评估言语和语言治疗的效果，并探索结果的差异。
