A nurse-led mHealth intervention to alleviate depressive symptoms in older adults living alone in the community: A quasi-experimental study

Hong, Seong Uk; Lee, Sangeun; Song, Keun Jeong; Kim, Mi‐Jung; Kim, Yun-Tae; Kim, Hyein; Kim, Heejung

doi:10.1016/j.ijnurstu.2022.104431

Cited by 5 publications

(5 citation statements)

References 45 publications

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“…Previous findings have confirmed the efficiency of nurse-led programs in improving patients' self-management and survival outcomes 46 . The nurse was also regarded as a crucial stakeholder in the multidisciplinary mHealth intervention 12 …”

Section: Discussionmentioning

confidence: 68%

“…46 The nurse was also regarded as a crucial stakeholder in the multidisciplinary mHealth intervention. 12…”

Section: Discussionmentioning

confidence: 99%

“…As frontline health assessors and educators, nurses are indispensable in patient information support. 12 There are various ways for patients to access health information support, including verbal communication, written materials, interactive audio materials, and mobile health (mHealth)-based resources. 13 Among them, mHealth stands out for its prominent advantages in enhancing resource access, promoting patient self-management, and reducing healthcare costs.…”

mentioning

confidence: 99%

“…As frontline health assessors and educators, nurses are indispensable in patient information support 12 . There are various ways for patients to access health information support, including verbal communication, written materials, interactive audio materials, and mobile health (mHealth)-based resources 13 .…”

mentioning

confidence: 99%

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Mobile Health System for Meeting Health Information Needs in Patients With Head and Neck Cancer Undergoing Radiotherapy

Dai,

Axelin,

et al. 2024

CIN: Computers, Informatics, Nursing

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Patients with head and neck cancer undergoing radiotherapy encounter physical and psychosocial challenges, indicating unmet needs. Mobile health technology can potentially support patients. This single-armed feasibility study included 30 patients with head and neck cancer undergoing radiotherapy. Patients were asked to use the Health Enjoy System, a mobile health support system that provides a disease-related resource for 1 week. We assessed the usability of the system and its limited efficacy in meeting patients' health information needs. The result showed that the system was well received by patients and effectively met their health information needs. They also reported free comments on the system's content, backend maintenance, and user engagement. This study supplies a foundation for further research to explore the potential benefits of the Health Enjoy System in supporting patients with head and neck cancer.

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Section: Discussionmentioning

confidence: 68%

“…46 The nurse was also regarded as a crucial stakeholder in the multidisciplinary mHealth intervention. 12…”

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Mobile Health System for Meeting Health Information Needs in Patients With Head and Neck Cancer Undergoing Radiotherapy

Dai,

Axelin,

et al. 2024

CIN: Computers, Informatics, Nursing

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“…The current findings align with recent studies demonstrating the health-improving effects of digital health care services for older adults. These effects were observed when mental health professionals provided in-person services [ 56 , 57 ] or when community health workers with intensive training [ 58 , 59 ] were connected to the digital service. However, this study makes a unique contribution to the literature by presenting preliminary findings suggesting that community caregivers without a health care specialty or intensive training in mental health care can potentially enhance the mental health of socially vulnerable older adults through the utilization of a digital health monitoring platform.…”

Section: Discussionmentioning

confidence: 99%

Digital Phenotyping of Geriatric Depression Using a Community-Based Digital Mental Health Monitoring Platform for Socially Vulnerable Older Adults and Their Community Caregivers: 6-Week Living Lab Single-Arm Pilot Study

Song,

Seo,

Hwang

et al. 2024

JMIR Mhealth Uhealth

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Background: Despite a growing need for digital services to care for geriatric mental health, the development and implementation of digital mental healthcare system for older adults have been hindered by a lack of studies among older adult users and community caregivers.Objective: This study aimed to identify whether digital sensing data on heart rate variability (HRV), sleep quality, and physical activity predicts same day or next day depressive symptoms among older adults in their ordinary living environments. In addition, this study tested the feasibility of a digital mental health monitoring platform to inform day-to-day changes in the health status of older adult users and their community caregivers. Methods:A living lab pilot study was conducted with community-dwelling older adults (n = 25) and their community caregivers (n = 16) for 6 weeks. Depressive symptoms were assessed daily using PHQ-9 via scripted verbal conversations using a smartphone application chatbot, and digital biomarkers of depression, including HRV, sleep, and physical activity, were assessed using a wearable sensor (Fitbit Sense), which was worn continuously, except charging time, for 6 weeks. Daily individualized feedback on the health status of older adult users was displayed on the applications for the users and their community caregivers. Multilevel modeling (MLM), with within-person changes over time at Level 1 and between-person differences at Level 2, was utilized to examine whether the digital biomarkers predict same day or next day depressive symptoms after adjusting for age, gender, baseline depression, and chronic disease conditions. Results:The MLM results showed that fluctuations in daily sleep fragmentation and sleep efficiency were associated with an increased probability of next day depressive symptoms for older adults. The feasibility test results indicated that older adults were able to use one or two functions of the monitoring platform 6 out of 7 days per week. However, the usability levels of older adults decreased from pre to post living lab due to experienced difficulties. Conclusions:The findings indicate the feasibility of digital mental health monitoring platforms for socially vulnerable older adults. The results also suggest that wearable sensor assessments of sleep fragmentation and efficiency can be important indicators for passively sensing daily fluctuations of depressive symptoms in older adults.

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Internet-delivered psychological interventions for older adults with depression: A scoping review

Peng,

Guo,

Zhang

et al. 2024

Geriatric Nursing

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A nurse-led mHealth intervention to alleviate depressive symptoms in older adults living alone in the community: A quasi-experimental study

Cited by 5 publications

References 45 publications

Mobile Health System for Meeting Health Information Needs in Patients With Head and Neck Cancer Undergoing Radiotherapy

Mobile Health System for Meeting Health Information Needs in Patients With Head and Neck Cancer Undergoing Radiotherapy

Digital Phenotyping of Geriatric Depression Using a Community-Based Digital Mental Health Monitoring Platform for Socially Vulnerable Older Adults and Their Community Caregivers: 6-Week Living Lab Single-Arm Pilot Study

Internet-delivered psychological interventions for older adults with depression: A scoping review

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