Moyse, K., Enderby, P. orcid.org/0000-0002-4371-9053, Chadd, K. et al. (3 more authors) (2020) Outcome measurement in speech and language therapy: a digital journey. BMJ Health & Care Informatics, 27 (1). e100085. ISSN 2632-1009
Abstract
Background 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).
Objective 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.
Method Agile methodology was applied to software development. Organisations were recruited to provide data. Criteria were identified to exemplify outcome variability.
Results 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.
Conclusion This established outcomes data set can be used to evaluate the impact of speech and language therapy, and explore variation in outcomes.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
Keywords: | health care; information management; information systems |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > ScHARR - Sheffield Centre for Health and Related Research |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 15 May 2020 15:24 |
Last Modified: | 15 May 2020 15:24 |
Status: | Published |
Publisher: | BMJ |
Refereed: | Yes |
Identification Number: | 10.1136/bmjhci-2019-100085 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:160797 |