Perceived Self-efficacy in Parkinson’s Disease Through Mobile Health Monitoring

Sabine Theis; Dajana Schäfer; Christina Haubrich; Christopher Brandl; Matthias Wille; Sonja A. Kotz; Verena Nitsch; Alexander Mertens

doi:10.1007/978-3-030-60149-2_57

Perceived Self-efficacy in Parkinson’s Disease Through Mobile Health Monitoring

Sabine Theis^*, Dajana Schäfer, Christina Haubrich, Christopher Brandl, Matthias Wille, Sonja A. Kotz, Verena Nitsch, Alexander Mertens

^*Corresponding author for this work

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

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Abstract

Parkinson’s disease (PD) is one of the most common neurodegenerative diseases. The non-specific symptoms lead to a diagnosis years after the actual onset of the disease. However, the earlier a diagnosis can be made, the more effective therapies are. Here we present and evaluate a smartphone app prototype supporting an early diagnosis with patients (N = 20). Since self-efficacy is decisive for the patient’s handling of the disease, the mobile diagnostic app should optimally support a patients’ self-efficacy. In this regard, a mixed-methods study revealed significant negative relationships of depression (BDI-FS) and technical competence belief (ρ = 0.46, p < 0.05) and technical commitment (ρ = 0.48, p < 0.05). Qualitative results revealed that PD patients confirm a PD diagnosis app as enriching their daily lives and imagined that the app could have an impact on their self-efficacy. Patients believed that the awareness and knowledge about the disease enhances their self-efficacy and reduce emotionally charged uncertainty as well as to let them regain a sense of control through active self-management.

Original language	English
Title of host publication	HCI International 2020 – Late Breaking Papers: Universal Access and Inclusive Design. HCII 2020
Subtitle of host publication	22nd HCI International Conference, HCII 2020 Copenhagen, Denmark, July 19–24, 2020 Proceedings
Editors	C. Stephanidis, M. Antona, Q. Gao, J. Zhou
Publisher	Springer
Pages	749-762
ISBN (Electronic)	978-3-030-60149-2
ISBN (Print)	978-3-030-60148-5
DOIs	https://doi.org/10.1007/978-3-030-60149-2_57
Publication status	Published - 25 Sept 2020
Event	22nd International Conference on Human-Computer Interaction - Online, Copenhagen, Denmark Duration: 19 Jul 2020 → 24 Jul 2020 Conference number: 22 https://2020.hci.international/

Publication series

Series	Lecture Notes in Computer Science
Volume	12426
ISSN	0302-9743

Conference

Conference	22nd International Conference on Human-Computer Interaction
Abbreviated title	HCI 2020
Country/Territory	Denmark
City	Copenhagen
Period	19/07/20 → 24/07/20
Internet address	https://2020.hci.international/

Access to Document

10.1007/978-3-030-60149-2_57

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Cite this

Theis, S., Schäfer, D., Haubrich, C., Brandl, C., Wille, M., Kotz, S. A., Nitsch, V., & Mertens, A. (2020). Perceived Self-efficacy in Parkinson’s Disease Through Mobile Health Monitoring. In C. Stephanidis, M. Antona, Q. Gao, & J. Zhou (Eds.), HCI International 2020 – Late Breaking Papers: Universal Access and Inclusive Design. HCII 2020: 22nd HCI International Conference, HCII 2020 Copenhagen, Denmark, July 19–24, 2020 Proceedings (pp. 749-762). Springer. https://doi.org/10.1007/978-3-030-60149-2_57

Theis, Sabine ; Schäfer, Dajana ; Haubrich, Christina et al. / Perceived Self-efficacy in Parkinson’s Disease Through Mobile Health Monitoring. HCI International 2020 – Late Breaking Papers: Universal Access and Inclusive Design. HCII 2020: 22nd HCI International Conference, HCII 2020 Copenhagen, Denmark, July 19–24, 2020 Proceedings. editor / C. Stephanidis ; M. Antona ; Q. Gao ; J. Zhou. Springer, 2020. pp. 749-762 (Lecture Notes in Computer Science, Vol. 12426).

@inproceedings{d29c5877a7d145789b3ff9af5075f195,

title = "Perceived Self-efficacy in Parkinson{\textquoteright}s Disease Through Mobile Health Monitoring",

abstract = "Parkinson{\textquoteright}s disease (PD) is one of the most common neurodegenerative diseases. The non-specific symptoms lead to a diagnosis years after the actual onset of the disease. However, the earlier a diagnosis can be made, the more effective therapies are. Here we present and evaluate a smartphone app prototype supporting an early diagnosis with patients (N = 20). Since self-efficacy is decisive for the patient{\textquoteright}s handling of the disease, the mobile diagnostic app should optimally support a patients{\textquoteright} self-efficacy. In this regard, a mixed-methods study revealed significant negative relationships of depression (BDI-FS) and technical competence belief (ρ = 0.46, p < 0.05) and technical commitment (ρ = 0.48, p < 0.05). Qualitative results revealed that PD patients confirm a PD diagnosis app as enriching their daily lives and imagined that the app could have an impact on their self-efficacy. Patients believed that the awareness and knowledge about the disease enhances their self-efficacy and reduce emotionally charged uncertainty as well as to let them regain a sense of control through active self-management.",

author = "Sabine Theis and Dajana Sch{\"a}fer and Christina Haubrich and Christopher Brandl and Matthias Wille and Kotz, {Sonja A.} and Verena Nitsch and Alexander Mertens",

year = "2020",

month = sep,

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doi = "10.1007/978-3-030-60149-2_57",

language = "English",

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editor = "C. Stephanidis and M. Antona and Q. Gao and J. Zhou",

booktitle = "HCI International 2020 – Late Breaking Papers: Universal Access and Inclusive Design. HCII 2020",

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note = "22nd International Conference on Human-Computer Interaction, HCI 2020 ; Conference date: 19-07-2020 Through 24-07-2020",

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Theis, S, Schäfer, D, Haubrich, C, Brandl, C, Wille, M, Kotz, SA, Nitsch, V & Mertens, A 2020, Perceived Self-efficacy in Parkinson’s Disease Through Mobile Health Monitoring. in C Stephanidis, M Antona, Q Gao & J Zhou (eds), HCI International 2020 – Late Breaking Papers: Universal Access and Inclusive Design. HCII 2020: 22nd HCI International Conference, HCII 2020 Copenhagen, Denmark, July 19–24, 2020 Proceedings. Springer, Lecture Notes in Computer Science, vol. 12426, pp. 749-762, 22nd International Conference on Human-Computer Interaction, Copenhagen, Denmark, 19/07/20. https://doi.org/10.1007/978-3-030-60149-2_57

Perceived Self-efficacy in Parkinson’s Disease Through Mobile Health Monitoring. / Theis, Sabine; Schäfer, Dajana; Haubrich, Christina et al.
HCI International 2020 – Late Breaking Papers: Universal Access and Inclusive Design. HCII 2020: 22nd HCI International Conference, HCII 2020 Copenhagen, Denmark, July 19–24, 2020 Proceedings. ed. / C. Stephanidis; M. Antona; Q. Gao; J. Zhou. Springer, 2020. p. 749-762 (Lecture Notes in Computer Science, Vol. 12426).

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

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T1 - Perceived Self-efficacy in Parkinson’s Disease Through Mobile Health Monitoring

AU - Theis, Sabine

AU - Schäfer, Dajana

AU - Haubrich, Christina

AU - Brandl, Christopher

AU - Wille, Matthias

AU - Kotz, Sonja A.

AU - Nitsch, Verena

AU - Mertens, Alexander

N1 - Conference code: 22

PY - 2020/9/25

Y1 - 2020/9/25

N2 - Parkinson’s disease (PD) is one of the most common neurodegenerative diseases. The non-specific symptoms lead to a diagnosis years after the actual onset of the disease. However, the earlier a diagnosis can be made, the more effective therapies are. Here we present and evaluate a smartphone app prototype supporting an early diagnosis with patients (N = 20). Since self-efficacy is decisive for the patient’s handling of the disease, the mobile diagnostic app should optimally support a patients’ self-efficacy. In this regard, a mixed-methods study revealed significant negative relationships of depression (BDI-FS) and technical competence belief (ρ = 0.46, p < 0.05) and technical commitment (ρ = 0.48, p < 0.05). Qualitative results revealed that PD patients confirm a PD diagnosis app as enriching their daily lives and imagined that the app could have an impact on their self-efficacy. Patients believed that the awareness and knowledge about the disease enhances their self-efficacy and reduce emotionally charged uncertainty as well as to let them regain a sense of control through active self-management.

AB - Parkinson’s disease (PD) is one of the most common neurodegenerative diseases. The non-specific symptoms lead to a diagnosis years after the actual onset of the disease. However, the earlier a diagnosis can be made, the more effective therapies are. Here we present and evaluate a smartphone app prototype supporting an early diagnosis with patients (N = 20). Since self-efficacy is decisive for the patient’s handling of the disease, the mobile diagnostic app should optimally support a patients’ self-efficacy. In this regard, a mixed-methods study revealed significant negative relationships of depression (BDI-FS) and technical competence belief (ρ = 0.46, p < 0.05) and technical commitment (ρ = 0.48, p < 0.05). Qualitative results revealed that PD patients confirm a PD diagnosis app as enriching their daily lives and imagined that the app could have an impact on their self-efficacy. Patients believed that the awareness and knowledge about the disease enhances their self-efficacy and reduce emotionally charged uncertainty as well as to let them regain a sense of control through active self-management.

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DO - 10.1007/978-3-030-60149-2_57

M3 - Conference article in proceeding

SN - 978-3-030-60148-5

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BT - HCI International 2020 – Late Breaking Papers: Universal Access and Inclusive Design. HCII 2020

A2 - Stephanidis, C.

A2 - Antona, M.

A2 - Gao, Q.

A2 - Zhou, J.

PB - Springer

T2 - 22nd International Conference on Human-Computer Interaction

Y2 - 19 July 2020 through 24 July 2020

ER -

Theis S, Schäfer D, Haubrich C, Brandl C, Wille M, Kotz SA et al. Perceived Self-efficacy in Parkinson’s Disease Through Mobile Health Monitoring. In Stephanidis C, Antona M, Gao Q, Zhou J, editors, HCI International 2020 – Late Breaking Papers: Universal Access and Inclusive Design. HCII 2020: 22nd HCI International Conference, HCII 2020 Copenhagen, Denmark, July 19–24, 2020 Proceedings. Springer. 2020. p. 749-762. (Lecture Notes in Computer Science, Vol. 12426). doi: 10.1007/978-3-030-60149-2_57