Evidence map›Paper›PMID 41371740›Full record

ArticleBMJ open2025

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.

Elizabeth Hay, David Ireland, Andrew Claus, Tanya Rose, Jenny Strong, Daria Westerman, Mikaela Schlumpf, Pranavie Vijayakumar, Lyza Burvill, Nicole Andrews

Abstract readComparative Study
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Elizabeth HaySchool of Health and Rehabilitation Sciences, The University of Queensland, St Lucia, Queensland, Australia.
David IrelandAustralian eHealth Research Centre, CSIRO, Herston, Queensland, Australia.
Andrew ClausSchool of Health and Rehabilitation Sciences, The University of Queensland, St Lucia, Queensland, Australia.
Tanya RoseSchool of Health and Rehabilitation Sciences, The University of Queensland, St Lucia, Queensland, Australia.
Jenny StrongSchool of Health and Rehabilitation Sciences, The University of Queensland, St Lucia, Queensland, Australia.
Daria WestermanQueensland Interdisciplinary Paediatric Persistent Pain Service, Queensland Children's Hospital, South Brisbane, Queensland, Australia.
Mikaela SchlumpfQueensland Interdisciplinary Paediatric Persistent Pain Service, Queensland Children's Hospital, South Brisbane, Queensland, Australia.
Pranavie VijayakumarAustralian eHealth Research Centre, CSIRO, Herston, Queensland, Australia.
Lyza BurvillSchool of Health and Rehabilitation Sciences, The University of Queensland, St Lucia, Queensland, Australia.
Nicole AndrewsTess Cramond Pain and Research Centre, Metro North Hospital and Health Service, Herston, Queensland, Australia n.andrews@uq.edu.au.ORCID http://orcid.org/0000-0002-7739-1738

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThere 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.

designAn exploratory concurrent nested mixed-methods design using a comparative analysis.

settingParticipants were recruited through a convenience sampling strategy from two tertiary multidisciplinary pain centres in Australia.

participants20 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.

resultsDrawn, voice and typed responses provided by participants during the chatbot interaction were analysed using content analysis. Fisher's exact tests and χ

conclusionsThe 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.

Indexed as

Chronic PainCommunicationPain MeasurementAdolescentAdultAgedAge FactorsAustraliaChildFemaleGenerative Artificial IntelligenceHumansLanguageMaleMiddle AgedYoung AdultAdolescentsArtificial IntelligenceChronic PaineHealthNatural Language ProcessingPAIN MANAGEMENT

Identifiers

PMID41371740
PMCPMC12699625

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.