Acceptability of a Pain History Assessment and Education Chatbot (Dolores) Across Age Groups in Populations With Chronic Pain: Development and Pilot Testing.
| Autor: | Andrews NE; RECOVER Injury Research Centre, The University of Queensland, Herston, Australia.; Tess Cramond Pain and Research Centre, The Royal Brisbane and Women's Hospital, Metro North Hospital and Health Service, Herston, Australia.; The Occupational Therapy Department, The Royal Brisbane and Women's Hospital, Metro North Hospital and Health Service, Herston, Australia.; Surgical Treatment and Rehabilitation Service (STARS) Education and Research Alliance, The University of Queensland and Metro North Health, Herston, Australia., Ireland D; Australian eHealth Research Centre, The Commonwealth Scientific and Industrial Research Organisation, Herston, Australia., Vijayakumar P; Australian eHealth Research Centre, The Commonwealth Scientific and Industrial Research Organisation, Herston, Australia.; The Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia., Burvill L; School of Health and Rehabilitation Sciences, The University of Queensland, St Lucia, Australia., Hay E; School of Health and Rehabilitation Sciences, The University of Queensland, St Lucia, Australia., Westerman D; Queensland Interdisciplinary Paediatric Persistent Pain Service, Queensland Children's Hospital, South Brisbane, Australia., Rose T; School of Health and Rehabilitation Sciences, The University of Queensland, St Lucia, Australia., Schlumpf M; Queensland Interdisciplinary Paediatric Persistent Pain Service, Queensland Children's Hospital, South Brisbane, Australia., Strong J; Tess Cramond Pain and Research Centre, The Royal Brisbane and Women's Hospital, Metro North Hospital and Health Service, Herston, Australia.; The Occupational Therapy Department, The Royal Brisbane and Women's Hospital, Metro North Hospital and Health Service, Herston, Australia.; School of Health and Rehabilitation Sciences, The University of Queensland, St Lucia, Australia., Claus A; Tess Cramond Pain and Research Centre, The Royal Brisbane and Women's Hospital, Metro North Hospital and Health Service, Herston, Australia.; School of Health and Rehabilitation Sciences, The University of Queensland, St Lucia, Australia. |
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| Jazyk: | angličtina |
| Zdroj: | JMIR formative research [JMIR Form Res] 2023 Oct 06; Vol. 7, pp. e47267. Date of Electronic Publication: 2023 Oct 06. |
| DOI: | 10.2196/47267 |
| Abstrakt: | Background: The delivery of education on pain neuroscience and the evidence for different treatment approaches has become a key component of contemporary persistent pain management. Chatbots, or more formally conversation agents, are increasingly being used in health care settings due to their versatility in providing interactive and individualized approaches to both capture and deliver information. Research focused on the acceptability of diverse chatbot formats can assist in developing a better understanding of the educational needs of target populations. Objective: This study aims to detail the development and initial pilot testing of a multimodality pain education chatbot (Dolores) that can be used across different age groups and investigate whether acceptability and feedback were comparable across age groups following pilot testing. Methods: Following an initial design phase involving software engineers (n=2) and expert clinicians (n=6), a total of 60 individuals with chronic pain who attended an outpatient clinic at 1 of 2 pain centers in Australia were recruited for pilot testing. The 60 individuals consisted of 20 (33%) adolescents (aged 10-18 years), 20 (33%) young adults (aged 19-35 years), and 20 (33%) adults (aged >35 years) with persistent pain. Participants spent 20 to 30 minutes completing interactive chatbot activities that enabled the Dolores app to gather a pain history and provide education about pain and pain treatments. After the chatbot activities, participants completed a custom-made feedback questionnaire measuring the acceptability constructs pertaining to health education chatbots. To determine the effect of age group on the acceptability ratings and feedback provided, a series of binomial logistic regression models and cumulative odds ordinal logistic regression models with proportional odds were generated. Results: Overall, acceptability was high for the following constructs: engagement, perceived value, usability, accuracy, responsiveness, adoption intention, esthetics, and overall quality. The effect of age group on all acceptability ratings was small and not statistically significant. An analysis of open-ended question responses revealed that major frustrations with the app were related to Dolores' speech, which was explored further through a comparative analysis. With respect to providing negative feedback about Dolores' speech, a logistic regression model showed that the effect of age group was statistically significant (χ 2 Conclusions: This study provides support for the acceptability of pain history and education chatbots across different age groups. Chatbot acceptability for adolescent cohorts may be improved by enabling the self-selection of speech characteristics such as rate and personable tone. (©Nicole Emma Andrews, David Ireland, Pranavie Vijayakumar, Lyza Burvill, Elizabeth Hay, Daria Westerman, Tanya Rose, Mikaela Schlumpf, Jenny Strong, Andrew Claus. Originally published in JMIR Formative Research (https://formative.jmir.org), 06.10.2023.) |
| Databáze: | MEDLINE |
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