Effectiveness of Technology-Assisted Medication Reminder Systems in Neurodegenerative Diseases: Systematic Review and Meta-analysis

Kevin C. Tseng; Yi Han Wang

doi:10.1007/978-3-031-60884-1_24

Effectiveness of Technology-Assisted Medication Reminder Systems in Neurodegenerative Diseases: Systematic Review and Meta-analysis

Kevin C. Tseng^*
, Yi Han Wang^*

^*Corresponding author for this work

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

Abstract

Neurodegenerative diseases are currently irreversible conditions. As these diseases often occur in older people, the patients often have other chronic diseases, leading to the possibility of multiple medications and associated problems such as drug interactions, nonadherence, and adverse reactions. This study aims to evaluate the effectiveness of technology-assisted medication reminder systems in patients with neurodegenerative or chronic diseases. Additionally, it explores the architecture and design of technology-assisted medication reminder systems alongside their functional modules. A systematic search was conducted through December 2023 across various databases, including PubMed, ScienceDirect, Scopus, Web of Science, and IEEE, for clinical studies on the effectiveness of technology-assisted medication reminders. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines were followed. The Cochrane risk of bias (RoB) assessment tool was used to assess bias at each stage of each selected study.

Original language	English
Title of host publication	Universal Access in Human-Computer Interaction - 18th International Conference, UAHCI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings
Editors	Margherita Antona, Constantine Stephanidis
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	345-360
Number of pages	16
ISBN (Print)	9783031608834
DOIs	https://doi.org/10.1007/978-3-031-60884-1_24
State	Published - 2024
Externally published	Yes
Event	18th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2024, Held as Part of the 26th HCI International Conference, HCII 2024 - Washington, United States Duration: 29 06 2024 → 04 07 2024

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14698 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	18th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2024, Held as Part of the 26th HCI International Conference, HCII 2024
Country/Territory	United States
City	Washington
Period	29/06/24 → 04/07/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

Application software
dementia
medication reminder
neurodegenerative diseases
Parkinson’s disease

Access to Document

10.1007/978-3-031-60884-1_24

Cite this

Tseng, K. C., & Wang, Y. H. (2024). Effectiveness of Technology-Assisted Medication Reminder Systems in Neurodegenerative Diseases: Systematic Review and Meta-analysis. In M. Antona, & C. Stephanidis (Eds.), Universal Access in Human-Computer Interaction - 18th International Conference, UAHCI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings (pp. 345-360). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14698 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-60884-1_24

Tseng, Kevin C. ; Wang, Yi Han. / Effectiveness of Technology-Assisted Medication Reminder Systems in Neurodegenerative Diseases : Systematic Review and Meta-analysis. Universal Access in Human-Computer Interaction - 18th International Conference, UAHCI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings. editor / Margherita Antona ; Constantine Stephanidis. Springer Science and Business Media Deutschland GmbH, 2024. pp. 345-360 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Neurodegenerative diseases are currently irreversible conditions. As these diseases often occur in older people, the patients often have other chronic diseases, leading to the possibility of multiple medications and associated problems such as drug interactions, nonadherence, and adverse reactions. This study aims to evaluate the effectiveness of technology-assisted medication reminder systems in patients with neurodegenerative or chronic diseases. Additionally, it explores the architecture and design of technology-assisted medication reminder systems alongside their functional modules. A systematic search was conducted through December 2023 across various databases, including PubMed, ScienceDirect, Scopus, Web of Science, and IEEE, for clinical studies on the effectiveness of technology-assisted medication reminders. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines were followed. The Cochrane risk of bias (RoB) assessment tool was used to assess bias at each stage of each selected study.",

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Tseng, KC & Wang, YH 2024, Effectiveness of Technology-Assisted Medication Reminder Systems in Neurodegenerative Diseases: Systematic Review and Meta-analysis. in M Antona & C Stephanidis (eds), Universal Access in Human-Computer Interaction - 18th International Conference, UAHCI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14698 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 345-360, 18th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Washington, United States, 29/06/24. https://doi.org/10.1007/978-3-031-60884-1_24

Effectiveness of Technology-Assisted Medication Reminder Systems in Neurodegenerative Diseases: Systematic Review and Meta-analysis. / Tseng, Kevin C.; Wang, Yi Han.
Universal Access in Human-Computer Interaction - 18th International Conference, UAHCI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings. ed. / Margherita Antona; Constantine Stephanidis. Springer Science and Business Media Deutschland GmbH, 2024. p. 345-360 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14698 LNCS).

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

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PY - 2024

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AB - Neurodegenerative diseases are currently irreversible conditions. As these diseases often occur in older people, the patients often have other chronic diseases, leading to the possibility of multiple medications and associated problems such as drug interactions, nonadherence, and adverse reactions. This study aims to evaluate the effectiveness of technology-assisted medication reminder systems in patients with neurodegenerative or chronic diseases. Additionally, it explores the architecture and design of technology-assisted medication reminder systems alongside their functional modules. A systematic search was conducted through December 2023 across various databases, including PubMed, ScienceDirect, Scopus, Web of Science, and IEEE, for clinical studies on the effectiveness of technology-assisted medication reminders. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines were followed. The Cochrane risk of bias (RoB) assessment tool was used to assess bias at each stage of each selected study.

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BT - Universal Access in Human-Computer Interaction - 18th International Conference, UAHCI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings

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ER -

Tseng KC, Wang YH. Effectiveness of Technology-Assisted Medication Reminder Systems in Neurodegenerative Diseases: Systematic Review and Meta-analysis. In Antona M, Stephanidis C, editors, Universal Access in Human-Computer Interaction - 18th International Conference, UAHCI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings. Springer Science and Business Media Deutschland GmbH. 2024. p. 345-360. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-60884-1_24

Effectiveness of Technology-Assisted Medication Reminder Systems in Neurodegenerative Diseases: Systematic Review and Meta-analysis

Abstract

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Bibliographical note

Keywords

Access to Document

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