Literature DB >> 35475981

Usability Experience of a Personal Sleep Monitoring Device to Self-manage Sleep Among Persons 65 Years or Older With Self-reported Sleep Disturbances.

Raeann G LeBlanc1, Paige Czarnecki, Jordan Howard, Cynthia S Jacelon, Jenna Marquard.   

Abstract

Increasingly, persons with self-reported health symptoms are using mobile health technologies to better understand, validate, and manage their symptoms. These off-the-shelf devices primarily utilize actigraphy to estimate sleep and activity. The purpose of this study was to describe qualitatively the experience of using a personal sleep monitoring device for sleep self-management in adults 65 years or older with self-reported sleep disturbances. This study followed a hybrid qualitative design using deductive and emergent coding derived from open-ended interviews (n = 25) after a period of 4 weeks using a wearable personal sleep monitoring device. Results expanded existing theoretical models on usability with the theme of personal meaning in the interaction between health and self-monitoring technology that were associated with age and technology use, privacy, and capability. Future studies for sleep health self-management and personally tailored interventions using personal sleep monitoring devices should continue to collect qualitative information in extending the understanding of user experience across different symptom clusters, such as sleep disturbances, that manifest more commonly in older age populations. This research is important for application in the use of mobile health technologies for nursing led health self-management interventions.
Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.

Entities:  

Mesh:

Year:  2022        PMID: 35475981      PMCID: PMC9464658          DOI: 10.1097/CIN.0000000000000911

Source DB:  PubMed          Journal:  Comput Inform Nurs        ISSN: 1538-2931            Impact factor:   2.146


  13 in total

1.  Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups.

Authors:  Allison Tong; Peter Sainsbury; Jonathan Craig
Journal:  Int J Qual Health Care       Date:  2007-09-14       Impact factor: 2.038

2.  Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model.

Authors:  Rakibul Hoque; Golam Sorwar
Journal:  Int J Med Inform       Date:  2017-02-10       Impact factor: 4.046

Review 3.  Smartphone Applications to Support Sleep Self-Management: Review and Evaluation.

Authors:  Yong K Choi; George Demiris; Shih-Yin Lin; Sarah J Iribarren; Carol A Landis; Hilaire J Thompson; Susan M McCurry; Margaret M Heitkemper; Teresa M Ward
Journal:  J Clin Sleep Med       Date:  2018-10-15       Impact factor: 4.062

4.  Investigating Factors Affecting Elderly's Intention to Use m-Health Services: An Empirical Study.

Authors:  G M Azmal Ali Quaosar; Md Rakibul Hoque; Yukun Bao
Journal:  Telemed J E Health       Date:  2017-10-04       Impact factor: 3.536

5.  Escalation of sleep disturbances amid the COVID-19 pandemic: a cross-sectional international study.

Authors:  Uri Mandelkorn; Shir Genzer; Shoham Choshen-Hillel; Joel Reiter; Miguel Meira E Cruz; Hagit Hochner; Leila Kheirandish-Gozal; David Gozal; Alex Gileles-Hillel
Journal:  J Clin Sleep Med       Date:  2021-01-01       Impact factor: 4.062

6.  Usability Study of Mainstream Wearable Fitness Devices: Feature Analysis and System Usability Scale Evaluation.

Authors:  Jun Liang; Deqiang Xian; Xingyu Liu; Jing Fu; Xingting Zhang; Buzhou Tang; Jianbo Lei
Journal:  JMIR Mhealth Uhealth       Date:  2018-11-08       Impact factor: 4.773

Review 7.  Patients' Perceptions of mHealth Apps: Meta-Ethnographic Review of Qualitative Studies.

Authors:  VanAnh Vo; Lola Auroy; Aline Sarradon-Eck
Journal:  JMIR Mhealth Uhealth       Date:  2019-07-10       Impact factor: 4.773

8.  Accuracy of Wristband Fitbit Models in Assessing Sleep: Systematic Review and Meta-Analysis.

Authors:  Shahab Haghayegh; Sepideh Khoshnevis; Michael H Smolensky; Kenneth R Diller; Richard J Castriotta
Journal:  J Med Internet Res       Date:  2019-11-28       Impact factor: 5.428

9.  CBT for late-life insomnia and the accuracy of sleep and wake perceptions: Results from a randomized-controlled trial.

Authors:  Joseph M Dzierzewski; Jennifer L Martin; Constance H Fung; Yeonsu Song; Lavinia Fiorentino; Stella Jouldjian; Juan Carlos Rodriguez; Michael Mitchell; Karen Josephson; Cathy A Alessi
Journal:  J Sleep Res       Date:  2019-01-04       Impact factor: 5.296

10.  Inclusion of Older Adults in the Research and Design of Digital Technology.

Authors:  Ittay Mannheim; Ella Schwartz; Wanyu Xi; Sandra C Buttigieg; Mary McDonnell-Naughton; Eveline J M Wouters; Yvonne van Zaalen
Journal:  Int J Environ Res Public Health       Date:  2019-10-02       Impact factor: 3.390

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.