Measuring recovery-oriented rehabilitation language in clinical documentation to enhance recovery-oriented practice

被引:0
|
作者
De Monte, Veronica [1 ]
Veitch, Angus [2 ]
Dark, Frances [1 ,3 ]
Meurk, Carla [3 ,4 ]
Wyder, Marianne [5 ]
Wheeler, Maddison [1 ]
Carney, Kylie [1 ]
Parker, Stephen [3 ,5 ]
Kisely, Steve [3 ,5 ]
Siskind, Dan [1 ,3 ,4 ]
机构
[1] Metro South Addict & Mental Hlth Serv, Mobile Intens Rehabil Team, Woolloongabba, QLD, Australia
[2] Swinburne Univ Technol, Dept Media & Commun, Melbourne, Vic, Australia
[3] Univ Queensland, Fac Med, Brisbane, Qld, Australia
[4] Queensland Ctr Mental Hlth Res, Pk, Wacol, Qld, Australia
[5] Metro South Addict & Mental Hlth Serv, Res & Learning Network, Mt Gravatt, Qld, Australia
来源
BJPSYCH OPEN | 2023年 / 9卷 / 02期
关键词
Recovery; rehabilitation; language; documentation; community mental health teams;
D O I
10.1192/bjo.2023.14
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
BackgroundMental health services are encouraged to use language consistent with principles of recovery-oriented practice. This study presents a novel approach for identifying whether clinical documentation contains recovery-oriented rehabilitation language, and evaluates an intervention to improve the language used within a community-based rehabilitation team. AimsThis is a pilot study of training to enhance recovery-oriented rehabilitation language written in care review summaries, as measured through a text-based analysis of language used in mental health clinical documentation. MethodEleven case managers participated in a programme that included instruction in recovery-oriented rehabilitation principles. Outcomes were measured with automated textual analysis of clinical documentation, using a custom-built dictionary of rehabilitation-consistent, person-centred and pejorative terms. Automated analyses were run on Konstanz Information Miner (KNIME), an open-source data analytics platform. Differences in the frequency of term categories in 50 pre-training and 77 post-training documents were analysed with inferential statistics. ResultsThe average percentage of sentences with recovery-oriented rehabilitation terms increased from 37% before the intervention to 48% afterward, a relative increase of 28% (P < 0.001). There was no significant change in use of person-centred or pejorative terms, possibly because of a relatively high frequency of person-centred language (22% of sentences) and low use of pejorative language (2.3% of sentences) at baseline. ConclusionsThis computer-driven textual analysis method identified improvements in recovery-oriented rehabilitation language following training. Our study suggests that brief interventions can affect the language of clinical documentation, and that automated text-analysis may represent a promising approach for rapidly assessing recovery-oriented rehabilitation language in mental health services.
引用
收藏
页码:17 / 20
页数:8
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