research-article

Supporting the Self-care Practices of Shift Workers

Authors:

Francisco Nunes,

Cristiana Braga,

Paula LopesAuthors Info & Claims

MUM '18: Proceedings of the 17th International Conference on Mobile and Ubiquitous Multimedia

Pages 71 - 81

https://doi.org/10.1145/3282894.3282914

Published: 25 November 2018 Publication History

Abstract

Working in shifts can cause great disruption in a person's life, impacting their health, family, and social life. Previous work has raised numerous issues of shift work, but there is little understanding of how workers practically deal with the challenges of shift work. This study investigates how shift workers engage in self-care to avoid health issues and deal with their shifts in practical terms. Findings show that shift workers engage in numerous activities for preparing, managing, and recovering from night shifts. Moreover, we describe the design of a mobile app for shift workers, designed based on the characteristics and self-care practices of shift workers.

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Cited By

Kalkanis ADemolder SPapadopoulos DTestelmans DBuyse B(2023)Recovery from shift workFrontiers in Neurology10.3389/fneur.2023.127004314Online publication date: 2-Nov-2023
https://doi.org/10.3389/fneur.2023.1270043
Mehra RPulman ADogan HMurphy JBitters F(2023)A Tailored mHealth App for Improving Health and Well-Being Behavioral Transformation in UK Police Workers: Usability Testing via a Mixed Methods StudyJMIR Human Factors10.2196/4291210(e42912)Online publication date: 4-Aug-2023
https://doi.org/10.2196/42912
Bullock BLearmonth CDavis HAl Mahmud A(2022)Mobile phone sleep self-management applications for early start shift workers: A scoping review of the literatureFrontiers in Public Health10.3389/fpubh.2022.93673610Online publication date: 10-Aug-2022
https://doi.org/10.3389/fpubh.2022.936736
Show More Cited By

Index Terms

Supporting the Self-care Practices of Shift Workers
1. Applied computing
  1. Life and medical sciences
    1. Health informatics
2. Human-centered computing
  1. Interaction design
    1. Empirical studies in interaction design
  2. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing systems and tools

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cover image ACM Other conferences

MUM '18: Proceedings of the 17th International Conference on Mobile and Ubiquitous Multimedia

November 2018

548 pages

ISBN:9781450365949

DOI:10.1145/3282894

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 November 2018

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MUM 2018

MUM 2018: 17th International Conference on Mobile and Ubiquitous Multimedia

November 25 - 28, 2018

Cairo, Egypt

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MUM '18 Paper Acceptance Rate 37 of 82 submissions, 45%;

Overall Acceptance Rate 190 of 465 submissions, 41%

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Cited By

Kalkanis ADemolder SPapadopoulos DTestelmans DBuyse B(2023)Recovery from shift workFrontiers in Neurology10.3389/fneur.2023.127004314Online publication date: 2-Nov-2023
https://doi.org/10.3389/fneur.2023.1270043
Mehra RPulman ADogan HMurphy JBitters F(2023)A Tailored mHealth App for Improving Health and Well-Being Behavioral Transformation in UK Police Workers: Usability Testing via a Mixed Methods StudyJMIR Human Factors10.2196/4291210(e42912)Online publication date: 4-Aug-2023
https://doi.org/10.2196/42912
Bullock BLearmonth CDavis HAl Mahmud A(2022)Mobile phone sleep self-management applications for early start shift workers: A scoping review of the literatureFrontiers in Public Health10.3389/fpubh.2022.93673610Online publication date: 10-Aug-2022
https://doi.org/10.3389/fpubh.2022.936736
Swanston EPulman ADogan HMurphy JBitters F(2021)Scoping the Need for a Tailored mHealth App to Improve Health and Well-being Behavioral Transformation in the Police: Exploring the Views of UK Police Workers via Web-Based Surveys and Client MeetingsJMIR Formative Research10.2196/280755:8(e28075)Online publication date: 31-Aug-2021
https://doi.org/10.2196/28075
Uhde ALaschke MHassenzahl M(2021)Design and Appropriation of Computer-supported Self-scheduling Practices in Healthcare Shift WorkProceedings of the ACM on Human-Computer Interaction10.1145/34492195:CSCW1(1-26)Online publication date: 22-Apr-2021
https://dl.acm.org/doi/10.1145/3449219
Uhde ASchlicker NWallach DHassenzahl MBernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)Fairness and Decision-making in Collaborative Shift Scheduling SystemsProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376656(1-13)Online publication date: 21-Apr-2020
https://dl.acm.org/doi/10.1145/3313831.3376656
Vasconcelos ALopes IRibeiro Jde Barros AHarle RFarrahi KLane N(2019)Challenges and lessons learned from implementing longitudinal studies for self-care technology assessmentAdjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers10.1145/3341162.3344863(893-898)Online publication date: 9-Sep-2019
https://dl.acm.org/doi/10.1145/3341162.3344863

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