From Personalised Predictions to Targeted Advice: Improving Self-Management in Rheumatoid Arthritis

Ali Fahmi; Hamit Soyel; William Marsh; Paul Curzon; Amy MacBrayne; Frances Humby

doi:10.3233/SHTI200695

From Personalised Predictions to Targeted Advice: Improving Self-Management in Rheumatoid Arthritis

Ali Fahmi, Hamit Soyel, William Marsh, Paul Curzon, Amy MacBrayne, Frances Humby

Division of Informatics, Imaging & Data Sciences (L5)

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

Abstract

Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease, that can lead to joint damage but also affects quality of life (QoL) including aspects such as self-esteem, fatigue, and mood. Current medical management focuses on the fluctuating disease activity to prevent progressive disability, but practical constraints mean periodic clinic appointments give little attention to the patient’s experience of managing the wider consequences of chronic illness. The main aim of this study is to explore how to use patient-derived data both for clinical decision-making and for personalisation, with the first steps towards a platform for tailoring self-management advice to patients’ lifestyle changes. As a result, we proposed a Bayesian network model for personalisation and have obtained promising outcomes.

Original language	English
Title of host publication	Integrated Citizen Centered Digital Health and Social Care
Subtitle of host publication	Citizens as Data Producers and Service co-Creators - Proceedings of the EFMI 2020 Special Topic Conference
Editors	Alpo Varri, Jaime Delgado, Parisis Gallos, Maria Hagglund, Kristiina Hayrinen, Ulla-Mari Kinnunen, Louise B. Pape-Haugaard, Laura-Maria Peltonen, Kaija Saranto, Philip Scott
Pages	62-66
Number of pages	5
ISBN (Electronic)	9781643681443
DOIs	https://doi.org/10.3233/SHTI200695
Publication status	Published - 23 Nov 2020

Publication series

Name	Studies in Health Technology and Informatics
Volume	275
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Keywords

Bayesian networks
Personalised prediction
Rheumatoid arthritis
mHealth

Access to Document

10.3233/SHTI200695

Cite this

Fahmi, A., Soyel, H., Marsh, W., Curzon, P., MacBrayne, A., & Humby, F. (2020). From Personalised Predictions to Targeted Advice: Improving Self-Management in Rheumatoid Arthritis. In A. Varri, J. Delgado, P. Gallos, M. Hagglund, K. Hayrinen, U.-M. Kinnunen, L. B. Pape-Haugaard, L.-M. Peltonen, K. Saranto, & P. Scott (Eds.), Integrated Citizen Centered Digital Health and Social Care: Citizens as Data Producers and Service co-Creators - Proceedings of the EFMI 2020 Special Topic Conference (pp. 62-66). (Studies in Health Technology and Informatics; Vol. 275). https://doi.org/10.3233/SHTI200695

Fahmi, Ali ; Soyel, Hamit ; Marsh, William et al. / From Personalised Predictions to Targeted Advice : Improving Self-Management in Rheumatoid Arthritis. Integrated Citizen Centered Digital Health and Social Care: Citizens as Data Producers and Service co-Creators - Proceedings of the EFMI 2020 Special Topic Conference. editor / Alpo Varri ; Jaime Delgado ; Parisis Gallos ; Maria Hagglund ; Kristiina Hayrinen ; Ulla-Mari Kinnunen ; Louise B. Pape-Haugaard ; Laura-Maria Peltonen ; Kaija Saranto ; Philip Scott. 2020. pp. 62-66 (Studies in Health Technology and Informatics).

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abstract = "Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease, that can lead to joint damage but also affects quality of life (QoL) including aspects such as self-esteem, fatigue, and mood. Current medical management focuses on the fluctuating disease activity to prevent progressive disability, but practical constraints mean periodic clinic appointments give little attention to the patient{\textquoteright}s experience of managing the wider consequences of chronic illness. The main aim of this study is to explore how to use patient-derived data both for clinical decision-making and for personalisation, with the first steps towards a platform for tailoring self-management advice to patients{\textquoteright} lifestyle changes. As a result, we proposed a Bayesian network model for personalisation and have obtained promising outcomes.",

keywords = "Bayesian networks, Personalised prediction, Rheumatoid arthritis, mHealth",

author = "Ali Fahmi and Hamit Soyel and William Marsh and Paul Curzon and Amy MacBrayne and Frances Humby",

note = "Funding Information: Acknowledgements: This research is supported by the Engineering and Physical Sciences Research Council (EPSRC) under project EP/P009964/1: PAMBAYESIAN: patient managed decision-support using Bayesian networks. Publisher Copyright: {\textcopyright} 2020 The European Federation for Medical Informatics (EFMI) and IOS Press.",

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month = nov,

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doi = "10.3233/SHTI200695",

language = "English",

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Fahmi, A, Soyel, H, Marsh, W, Curzon, P, MacBrayne, A & Humby, F 2020, From Personalised Predictions to Targeted Advice: Improving Self-Management in Rheumatoid Arthritis. in A Varri, J Delgado, P Gallos, M Hagglund, K Hayrinen, U-M Kinnunen, LB Pape-Haugaard, L-M Peltonen, K Saranto & P Scott (eds), Integrated Citizen Centered Digital Health and Social Care: Citizens as Data Producers and Service co-Creators - Proceedings of the EFMI 2020 Special Topic Conference. Studies in Health Technology and Informatics, vol. 275, pp. 62-66. https://doi.org/10.3233/SHTI200695

From Personalised Predictions to Targeted Advice: Improving Self-Management in Rheumatoid Arthritis. / Fahmi, Ali; Soyel, Hamit; Marsh, William et al.
Integrated Citizen Centered Digital Health and Social Care: Citizens as Data Producers and Service co-Creators - Proceedings of the EFMI 2020 Special Topic Conference. ed. / Alpo Varri; Jaime Delgado; Parisis Gallos; Maria Hagglund; Kristiina Hayrinen; Ulla-Mari Kinnunen; Louise B. Pape-Haugaard; Laura-Maria Peltonen; Kaija Saranto; Philip Scott. 2020. p. 62-66 (Studies in Health Technology and Informatics; Vol. 275).

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

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T1 - From Personalised Predictions to Targeted Advice

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AU - Fahmi, Ali

AU - Soyel, Hamit

AU - Marsh, William

AU - Curzon, Paul

AU - MacBrayne, Amy

AU - Humby, Frances

N1 - Funding Information: Acknowledgements: This research is supported by the Engineering and Physical Sciences Research Council (EPSRC) under project EP/P009964/1: PAMBAYESIAN: patient managed decision-support using Bayesian networks. Publisher Copyright: © 2020 The European Federation for Medical Informatics (EFMI) and IOS Press.

PY - 2020/11/23

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N2 - Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease, that can lead to joint damage but also affects quality of life (QoL) including aspects such as self-esteem, fatigue, and mood. Current medical management focuses on the fluctuating disease activity to prevent progressive disability, but practical constraints mean periodic clinic appointments give little attention to the patient’s experience of managing the wider consequences of chronic illness. The main aim of this study is to explore how to use patient-derived data both for clinical decision-making and for personalisation, with the first steps towards a platform for tailoring self-management advice to patients’ lifestyle changes. As a result, we proposed a Bayesian network model for personalisation and have obtained promising outcomes.

AB - Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease, that can lead to joint damage but also affects quality of life (QoL) including aspects such as self-esteem, fatigue, and mood. Current medical management focuses on the fluctuating disease activity to prevent progressive disability, but practical constraints mean periodic clinic appointments give little attention to the patient’s experience of managing the wider consequences of chronic illness. The main aim of this study is to explore how to use patient-derived data both for clinical decision-making and for personalisation, with the first steps towards a platform for tailoring self-management advice to patients’ lifestyle changes. As a result, we proposed a Bayesian network model for personalisation and have obtained promising outcomes.

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KW - mHealth

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M3 - Chapter

SN - 9781643681443

T3 - Studies in Health Technology and Informatics

SP - 62

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BT - Integrated Citizen Centered Digital Health and Social Care

A2 - Varri, Alpo

A2 - Delgado, Jaime

A2 - Gallos, Parisis

A2 - Hagglund, Maria

A2 - Hayrinen, Kristiina

A2 - Kinnunen, Ulla-Mari

A2 - Pape-Haugaard, Louise B.

A2 - Peltonen, Laura-Maria

A2 - Saranto, Kaija

A2 - Scott, Philip

ER -

Fahmi A, Soyel H, Marsh W, Curzon P, MacBrayne A, Humby F. From Personalised Predictions to Targeted Advice: Improving Self-Management in Rheumatoid Arthritis. In Varri A, Delgado J, Gallos P, Hagglund M, Hayrinen K, Kinnunen UM, Pape-Haugaard LB, Peltonen LM, Saranto K, Scott P, editors, Integrated Citizen Centered Digital Health and Social Care: Citizens as Data Producers and Service co-Creators - Proceedings of the EFMI 2020 Special Topic Conference. 2020. p. 62-66. (Studies in Health Technology and Informatics). doi: 10.3233/SHTI200695

From Personalised Predictions to Targeted Advice: Improving Self-Management in Rheumatoid Arthritis

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