TY - JOUR
T1 - Analysis of Patient Cues in Asynchronous Health Interactions
T2 - Pilot Study Combining Empathy Appraisal and Systemic Functional Linguistics
AU - Velasco, Elena Rey
AU - Pedersen, Hanne Sæderup
AU - Skinner, Timothy
AU - O'Reilly, Sharleen L.
AU - Geraghty, Aisling A.
AU - Zahoor, Faisal
AU - McAuliffe, Fionnuala M.
AU - Codd, Mary
AU - Segurado, Ricardo
AU - Maindal, Helle T.
AU - Jensen, Nanna Husted
AU - Davies, Anna
AU - Burden, Christy
AU - Norman, Jane E.
AU - Vrangbæk, Karsten
AU - Pirhonen, Laura Elina
AU - Herrera-Viedman, Enrique
AU - Bermúdez, Mercedes
AU - Campoy, Cristina
AU - Puertas, Alberto
AU - Molina, Francisca S.
AU - Laursen, Ditte Hjorth
AU - Angotti, Katie
AU - Jørgensen, Stig
AU - Campbell, Karen J.
AU - Laws, Rachel
AU - Versace, Vincent L.
AU - Teede, Helena
AU - Harrison, Cheryce L.
AU - Boyle, Jacqueline
AU - Soldartis, Georgia
AU - Impact Diabetes B2B Collaboration Group
N1 - Funding Information:
ERV performed data collection and analysis, synthesized the results, and prepared and edited the manuscript until submission. HSP contributed to the data analysis and interpretation processes, provided reliability coding, and participated in the manuscript reviewing process. TS conceived the research, supported the interpretation and discussion of results, and reviewed the final manuscript. This research is part of an industrial PhD project sponsored by Innovation Fund Denmark, the University of Copenhagen, and Liva Healthcare. The Impact Diabetes B2B (Bump2Baby and Me) project has received funding from the European Union’s Horizon 2020 research and innovation program (grant agreement no. 847984). The project also acknowledges collaborative funding from the National Health and Medical Research Council (grant no. 1194234). We would like to acknowledge the contribution of the members of the Impact Diabetes B2B Collaboration Group: Associate Professor Sharleen L O'Reilly (University College Dublin), Dr Aisling A Geraghty (University College Dublin), Dr Faisal Zahoor (University College Dublin), Prof Fionnuala M McAuliffe (University College Dublin), Associate Professor Mary Codd (University College Dublin), Associate Professor Ricardo Segurado (University College Dublin), Prof Helle T Maindal (Aarhus University), Nanna Husted Jensen (Aarhus University), Dr Anna Davies (University of Bristol), Associate Professor Christy Burden (University of Bristol), Prof Jane E Norman (University of Bristol), Prof Karsten Vrangbæk (University of Copenhagen), Dr Laura Elina Pirhonen (University of Copenhagen), Prof Enrique Herrera-Viedman (University of Granada), Dr Mercedes Bermúdez (University of Granada), Prof Cristina Campoy (University of Granada), Prof Alberto Puertas (University of Granada), Dr Francisca S Molina (University of Granada), Dr Ditte Hjorth Laursen (Liva Healthcare), Katie Angotti (Liva Healthcare), Stig Jørgensen (Liva Healthcare), Prof Karen J Campbell (Deakin University), Associate Professor Rachel Laws (Deakin University), Associate Professor Vincent L Versace (Deakin University), Prof Helena Teede (Monash University), Dr Cheryce L Harrison (Monash University), Associate Professor Jacqueline Boyle (Monash University), Dr Georgia Soldartis (Monash University).
Publisher Copyright:
©Elena Rey Velasco, Hanne Sæderup Pedersen.
PY - 2022/12
Y1 - 2022/12
N2 - Background: Lifestyle-related diseases are among the leading causes of death and disability. Their rapid increase worldwide has called for low-cost, scalable solutions to promote health behavior changes. Digital health coaching has proved to be effective in delivering affordable, scalable programs to support lifestyle change. This approach increasingly relies on asynchronous text-based interventions to motivate and support behavior change. Although we know that empathy is a core element for a successful coach-user relationship and positive patient outcomes, we lack research on how this is realized in text-based interactions. Systemic functional linguistics (SFL) is a linguistic theory that may support the identification of empathy opportunities (EOs) in text-based interactions, as well as the reasoning behind patients' linguistic choices in their formulation. Objective: This study aims to determine whether empathy and SFL approaches correspond and complement each other satisfactorily to study text-based communication in a health coaching context. We sought to explore whether combining empathic assessment with SFL categories can provide a means to understand client-coach interactions in asynchronous text-based coaching interactions. Methods: We retrieved 148 text messages sent by 29 women who participated in a randomized trial of telecoaching for the prevention of gestational diabetes mellitus (GDM) and postnatal weight loss. We conducted a pilot study to identify users' explicit and implicit EOs and further investigated these statements using the SFL approach, focusing on the analysis of transitivity and thematic analysis. Results: We identified 164 EOs present in 42.37% (3478/8209) of the word count in the corpus. These were mainly negative (n=90, 54.88%) and implicit (n=55, 60.00%). We distinguished opening, content and closing messages structures. Most of the wording was found in the content (n=7077, 86.21%) with a declarative structure (n=7084, 86.30%). Processes represented 22.4% (n=1839) of the corpus, with half being material (n=876, 10.67%) and mostly related to food and diet (n=196, 54.92%), physical activity (n=96, 26.89%), and lifestyle goals (n=40, 11.20%). Conclusions: Our findings show that empathy and SFL approaches are compatible. The results from our transitivity analysis reveal novel insights into the meanings of the users' EOs, such as their seek for help or praise, often missed by health care professionals (HCPs), and on the coach-user relationship. The absence of explicit EOs and direct questions could be attributed to low trust on or information about the coach's abilities. In the future, we will conduct further research to explore additional linguistic features and code coach messages.
AB - Background: Lifestyle-related diseases are among the leading causes of death and disability. Their rapid increase worldwide has called for low-cost, scalable solutions to promote health behavior changes. Digital health coaching has proved to be effective in delivering affordable, scalable programs to support lifestyle change. This approach increasingly relies on asynchronous text-based interventions to motivate and support behavior change. Although we know that empathy is a core element for a successful coach-user relationship and positive patient outcomes, we lack research on how this is realized in text-based interactions. Systemic functional linguistics (SFL) is a linguistic theory that may support the identification of empathy opportunities (EOs) in text-based interactions, as well as the reasoning behind patients' linguistic choices in their formulation. Objective: This study aims to determine whether empathy and SFL approaches correspond and complement each other satisfactorily to study text-based communication in a health coaching context. We sought to explore whether combining empathic assessment with SFL categories can provide a means to understand client-coach interactions in asynchronous text-based coaching interactions. Methods: We retrieved 148 text messages sent by 29 women who participated in a randomized trial of telecoaching for the prevention of gestational diabetes mellitus (GDM) and postnatal weight loss. We conducted a pilot study to identify users' explicit and implicit EOs and further investigated these statements using the SFL approach, focusing on the analysis of transitivity and thematic analysis. Results: We identified 164 EOs present in 42.37% (3478/8209) of the word count in the corpus. These were mainly negative (n=90, 54.88%) and implicit (n=55, 60.00%). We distinguished opening, content and closing messages structures. Most of the wording was found in the content (n=7077, 86.21%) with a declarative structure (n=7084, 86.30%). Processes represented 22.4% (n=1839) of the corpus, with half being material (n=876, 10.67%) and mostly related to food and diet (n=196, 54.92%), physical activity (n=96, 26.89%), and lifestyle goals (n=40, 11.20%). Conclusions: Our findings show that empathy and SFL approaches are compatible. The results from our transitivity analysis reveal novel insights into the meanings of the users' EOs, such as their seek for help or praise, often missed by health care professionals (HCPs), and on the coach-user relationship. The absence of explicit EOs and direct questions could be attributed to low trust on or information about the coach's abilities. In the future, we will conduct further research to explore additional linguistic features and code coach messages.
KW - asynchronous communication
KW - coach-user interaction
KW - coding
KW - communication
KW - empathy
KW - health promotion
KW - lifestyle-related disease
KW - linguistic analysis
KW - systemic functional linguistics
KW - telecoaching
KW - telehealth
KW - tool development
KW - user experience
UR - http://www.scopus.com/inward/record.url?scp=85145444737&partnerID=8YFLogxK
U2 - 10.2196/40058
DO - 10.2196/40058
M3 - Article
C2 - 36538352
AN - SCOPUS:85145444737
SN - 2561-326X
VL - 6
JO - JMIR Formative Research
JF - JMIR Formative Research
IS - 12
M1 - e40058
ER -