BMJ open · 2025
Uncovering age-related differences in communication by people with persistent pain when interacting with a pain history assessment chatbot in Australia: an exploratory mixed-methods study using a comparative analysis.
СтатьяСравнительное исследованиеНазвание и аннотация: Перевод пока не подготовлен
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Hay Elizabeth, Ireland David, Claus Andrew, Rose Tanya, Strong Jenny, Westerman Daria, Schlumpf Mikaela, Vijayakumar Pranavie, Burvill Lyza, Andrews Nicole
Аннотация
OBJECTIVES: There is limited research exploring the age-related difference in communication when describing pain experiences. This project aimed to identify key differences between adolescents', young adults' and adults' (i) preferred communication method, (ii) language content and (iii) lexical amount and variety when discussing their persistent pain experience using chatbot technology.
DESIGN: An exploratory concurrent nested mixed-methods design using a comparative analysis.
SETTING: Participants were recruited through a convenience sampling strategy from two tertiary multidisciplinary pain centres in Australia.
PARTICIPANTS: 20 adolescents, 20 young adults and 20 adults completed a pain history assessment using the Dolores application. The inclusion criteria for this study were (i) persistent non-cancer pain for at least 3 months, (ii) 10 years of age and over and (iii) adequate expressive and receptive language skills to complete the required tasks in English, as determined by clinicians in the treating team.
RESULTS: Drawn, voice and typed responses provided by participants during the chatbot interaction were analysed using content analysis. Fisher's exact tests and χ2 tests were used to examine differences between age groups. Strong effect size estimates generated from comparative analyses suggested that adolescents were the most likely age group to utilise drawing (p=0.153, Cramer's V=0.268), preferred typing over speaking (p=<0.001, Cramer's V=0.470) and used non-specific language to describe pain (p=0.007, Cramer's V=0.433). Young adults used the greatest number and variety of words in response to chatbot questions including evaluative language (p=0.097, Cramer's V=0.296). Adults tended to use more metaphors (p=0.085, Cramer's V=0.305) and had a strong preference for speaking over typing (p=<0.001, Cramer's V=0.470).
CONCLUSIONS: The results of this study provide insights into age-related differences in communication and preferences when using technology to communicate about persistent pain. Future research exploring individualised age-related approaches to pain assessment, supported by the findings of this study, in comparison to current standardised assessments administered by clinicians are warranted.
DESIGN: An exploratory concurrent nested mixed-methods design using a comparative analysis.
SETTING: Participants were recruited through a convenience sampling strategy from two tertiary multidisciplinary pain centres in Australia.
PARTICIPANTS: 20 adolescents, 20 young adults and 20 adults completed a pain history assessment using the Dolores application. The inclusion criteria for this study were (i) persistent non-cancer pain for at least 3 months, (ii) 10 years of age and over and (iii) adequate expressive and receptive language skills to complete the required tasks in English, as determined by clinicians in the treating team.
RESULTS: Drawn, voice and typed responses provided by participants during the chatbot interaction were analysed using content analysis. Fisher's exact tests and χ2 tests were used to examine differences between age groups. Strong effect size estimates generated from comparative analyses suggested that adolescents were the most likely age group to utilise drawing (p=0.153, Cramer's V=0.268), preferred typing over speaking (p=<0.001, Cramer's V=0.470) and used non-specific language to describe pain (p=0.007, Cramer's V=0.433). Young adults used the greatest number and variety of words in response to chatbot questions including evaluative language (p=0.097, Cramer's V=0.296). Adults tended to use more metaphors (p=0.085, Cramer's V=0.305) and had a strong preference for speaking over typing (p=<0.001, Cramer's V=0.470).
CONCLUSIONS: The results of this study provide insights into age-related differences in communication and preferences when using technology to communicate about persistent pain. Future research exploring individualised age-related approaches to pain assessment, supported by the findings of this study, in comparison to current standardised assessments administered by clinicians are warranted.