Tailoring Persuasive Health Messages to the Predominant Ego State of Patients

Xinying Zhao; Mengzhe Tao; Yingting Chen; Bin Yin; Panos Markopoulos

doi:10.1007/978-3-031-30933-5_15

Tailoring Persuasive Health Messages to the Predominant Ego State of Patients

Xinying Zhao (Corresponding author)
, Mengzhe Tao
, Yingting Chen
, Bin Yin
, Panos Markopoulos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

140 Downloads (Pure)

Abstract

Lack of patient engagement has long been a problem in healthcare for chronic disease management. We report a study that explored the feasibility of applying Transactional Analysis theory to tailor health messages to the patient’s predominant ego state, assuming that messages with a complementary communication approach will be better comprehended and efficacious in triggering the targeted health behaviours. These personalized health messages were constructed by field experts in co-creation workshops and tested by chronic disease patients with various predominant ego states via interviews and a survey. Our experiment did not support the hypothesized superiority of complementary communication but revealed a general patient preference for supportive and professional communication styles. Future studies should explore the long-term efficacy of complementary communication considering also situational and cultural factors.

Original language	English
Title of host publication	Persuasive Technology
Subtitle of host publication	18th International Conference, PERSUASIVE 2023, Eindhoven, The Netherlands, April 19–21, 2023, Proceedings
Editors	Alexander Meschtscherjakov, Cees Midden, Jaap Ham
Place of Publication	Cham
Publisher	Springer
Pages	234-247
Number of pages	14
ISBN (Electronic)	978-3-031-30933-5
ISBN (Print)	978-3-031-30932-8
DOIs	https://doi.org/10.1007/978-3-031-30933-5_15
Publication status	Published - 14 Apr 2023
Event	18th International Conference on Persuasive Technology, PERSUASIVE 2023 - Eindhoven University of Technology, Eindhoven, Netherlands Duration: 19 Apr 2023 → 21 Apr 2023 Conference number: 18 https://persuasivetech.org/#

Publication series

Name	Lecture Notes in Computer Science (LNCS)
Volume	13832
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	18th International Conference on Persuasive Technology, PERSUASIVE 2023
Abbreviated title	PERSUASIVE 2023
Country/Territory	Netherlands
City	Eindhoven
Period	19/04/23 → 21/04/23
Internet address	https://persuasivetech.org/#

Keywords

Patient engagement
Chronic disease management
Personalized health messages
Transactional Analysis
Transactional analysis

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10.1007/978-3-031-30933-5_15

pdfFinal published version, 761 KBLicence: TAVERNE

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Zhao, X., Tao, M., Chen, Y., Yin, B., & Markopoulos, P. (2023). Tailoring Persuasive Health Messages to the Predominant Ego State of Patients. In A. Meschtscherjakov, C. Midden, & J. Ham (Eds.), Persuasive Technology: 18th International Conference, PERSUASIVE 2023, Eindhoven, The Netherlands, April 19–21, 2023, Proceedings (pp. 234-247). (Lecture Notes in Computer Science (LNCS); Vol. 13832). Springer. https://doi.org/10.1007/978-3-031-30933-5_15

Zhao, Xinying ; Tao, Mengzhe ; Chen, Yingting et al. / Tailoring Persuasive Health Messages to the Predominant Ego State of Patients. Persuasive Technology: 18th International Conference, PERSUASIVE 2023, Eindhoven, The Netherlands, April 19–21, 2023, Proceedings. editor / Alexander Meschtscherjakov ; Cees Midden ; Jaap Ham. Cham : Springer, 2023. pp. 234-247 (Lecture Notes in Computer Science (LNCS)).

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Zhao, X, Tao, M, Chen, Y, Yin, B & Markopoulos, P 2023, Tailoring Persuasive Health Messages to the Predominant Ego State of Patients. in A Meschtscherjakov, C Midden & J Ham (eds), Persuasive Technology: 18th International Conference, PERSUASIVE 2023, Eindhoven, The Netherlands, April 19–21, 2023, Proceedings. Lecture Notes in Computer Science (LNCS), vol. 13832, Springer, Cham, pp. 234-247, 18th International Conference on Persuasive Technology, PERSUASIVE 2023, Eindhoven, Netherlands, 19/04/23. https://doi.org/10.1007/978-3-031-30933-5_15

Tailoring Persuasive Health Messages to the Predominant Ego State of Patients. / Zhao, Xinying (Corresponding author); Tao, Mengzhe; Chen, Yingting et al.
Persuasive Technology: 18th International Conference, PERSUASIVE 2023, Eindhoven, The Netherlands, April 19–21, 2023, Proceedings. ed. / Alexander Meschtscherjakov; Cees Midden; Jaap Ham. Cham: Springer, 2023. p. 234-247 (Lecture Notes in Computer Science (LNCS); Vol. 13832).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - Lack of patient engagement has long been a problem in healthcare for chronic disease management. We report a study that explored the feasibility of applying Transactional Analysis theory to tailor health messages to the patient’s predominant ego state, assuming that messages with a complementary communication approach will be better comprehended and efficacious in triggering the targeted health behaviours. These personalized health messages were constructed by field experts in co-creation workshops and tested by chronic disease patients with various predominant ego states via interviews and a survey. Our experiment did not support the hypothesized superiority of complementary communication but revealed a general patient preference for supportive and professional communication styles. Future studies should explore the long-term efficacy of complementary communication considering also situational and cultural factors.

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Zhao X, Tao M, Chen Y, Yin B, Markopoulos P. Tailoring Persuasive Health Messages to the Predominant Ego State of Patients. In Meschtscherjakov A, Midden C, Ham J, editors, Persuasive Technology: 18th International Conference, PERSUASIVE 2023, Eindhoven, The Netherlands, April 19–21, 2023, Proceedings. Cham: Springer. 2023. p. 234-247. (Lecture Notes in Computer Science (LNCS)). doi: 10.1007/978-3-031-30933-5_15

Tailoring Persuasive Health Messages to the Predominant Ego State of Patients

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