Acceptability, Engagement, and Exploratory Outcomes of an Emotional Well-being App: Mixed Methods Preliminary Evaluation and Descriptive Analysis

Eisenstadt, Mia; Liverpool, Shaun; Metaxa, Athina- Marina; Ciuvat, Roberta Maria; Carlsson, Courtney

doi:10.2196/31064

Cited by 9 publications

(6 citation statements)

References 88 publications

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“…The app developed in this study provides direction and guidance on how to report symptoms, events, and daily emotional states and provides an easy display to integrate these various inputs and share insights with health care providers. Unlike existing mobile apps with several views on multiple interfaces [ 46 - 48 ], this app provides a single view of all symptoms, events, and emotions consolidated on 1 page which aims to improve usability, efficiency, and satisfaction among users. The design also allows an effective presentation of daily reports in a comprehensive and easy-to-understand manner.…”

Section: Discussionmentioning

confidence: 99%

Tailored Self-Management App to Support Older Adults With Cancer and Multimorbidity: Development and Usability Testing

Sien,

Kobekyaa,

Puts

et al. 2024

JMIR Aging

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Background Globally, cancer predominates in adults aged older than 60 years, and 70% of older adults have ≥1 chronic condition. Cancer self-management interventions can improve symptom management and confidence, but few interventions target the complex needs of older adults with cancer and multimorbidity. Despite growing evidence of digital health tools in cancer care, there is a paucity of theoretically grounded digital self-management supports for older adults. Many apps for older adults have not been co-designed with older adults to ensure that they are tailored to their specific needs, which would increase usability and uptake. Objective We aim to report on the user evaluations of a self- and symptom-management app to support older adults living with cancer and multimorbidity. Methods This study used Grey’s self-management framework, a design thinking approach, and involved older adults with lived experiences of cancer to design a medium-fidelity app prototype. Older adults with cancer or caregivers were recruited through community organizations or support groups to participate in co-designing or evaluations of the app. Data from interviews were iteratively integrated into the design process and analyzed using descriptive statistics and thematic analyses. Results In total, 15 older adults and 3 caregivers (n=18) participated in this study: 10 participated (8 older adults and 2 caregivers) in the design of the low-fidelity prototype, and 10 evaluated (9 older adults and 1 caregiver) the medium-fidelity prototype (2 older adults participated in both phases). Participants emphasized the importance of tracking functions to make sense of information across physical symptoms and psychosocial aspects; a clear display; and the organization of notes and reminders to communicate with care providers. Participants also emphasized the importance of medication initiation or cessation reminders to mitigate concerns related to polypharmacy. Conclusions This app has the potential to support the complex health care needs of older adults with cancer, creating a “home base” for symptom management and support. The findings from this study will position the researchers to conduct feasibility testing and real-world implementation.

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Section: Discussionmentioning

confidence: 99%

Tailored Self-Management App to Support Older Adults With Cancer and Multimorbidity: Development and Usability Testing

Sien,

Kobekyaa,

Puts

et al. 2024

JMIR Aging

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“…Most studies (5/19, 26%) did not find any differences in baseline mental well-being levels between participants who did and did not drop out [27,29,32,35,36]. However, 1 study found that participants with lower mental well-being and higher levels of anxiety, depression, and distress were more likely to drop out [30], whereas another study found that participants with higher mental well-being and lower levels of anxiety, depression, and distress were more likely to drop out [31].…”

Section: Study Dropout and Attritionmentioning

confidence: 94%

“…There were a range of findings across studies on the association between participants' demographic characteristics and dropout. One study found that male participants were more likely to drop out [36], whereas others (2/19, 11%) found no difference [27,31]. Some studies (2/19, 11%) found that participants who remained in the study were older [35,38], although other studies (2/19, 11%) did not find this effect [31,36].…”

Section: Study Dropout and Attritionmentioning

confidence: 99%

“…No restrictions were applied. Refer to Multimedia Appendix 1 [25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42] for the detailed searches conducted in each database.…”

Section: Searchesmentioning

confidence: 99%

“…One study found that male participants were more likely to drop out [36], whereas others (2/19, 11%) found no difference [27,31]. Some studies (2/19, 11%) found that participants who remained in the study were older [35,38], although other studies (2/19, 11%) did not find this effect [31,36]. One study found that educational level was higher among participants who dropped out [35], whereas another study did not find this effect [38].…”

Section: Study Dropout and Attritionmentioning

confidence: 99%

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The Effectiveness of Fully Automated Digital Interventions in Promoting Mental Well-Being in the General Population: Systematic Review and Meta-Analysis

Groot¹,

MacLellan²,

Butler³

et al. 2023

JMIR Ment Health

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Background Recent years have highlighted an increasing need to promote mental well-being in the general population. This has led to a rapidly growing market for fully automated digital mental well-being tools. Although many individuals have started using these tools in their daily lives, evidence on the overall effectiveness of digital mental well-being tools is currently lacking. Objective This study aims to review the evidence on the effectiveness of fully automated digital interventions in promoting mental well-being in the general population. Methods Following the preregistration of the systematic review protocol on PROSPERO, searches were carried out in MEDLINE, Web of Science, Cochrane, PsycINFO, PsycEXTRA, Scopus, and ACM Digital (initial searches in February 2022; updated in October 2022). Studies were included if they contained a general population sample and a fully automated digital intervention that exclusively used psychological mental well-being promotion activities. Two reviewers, blinded to each other’s decisions, conducted data selection, extraction, and quality assessment of the included studies. Narrative synthesis and a random-effects model of per-protocol data were adopted. Results We included 19 studies that involved 7243 participants. These studies included 24 fully automated digital mental well-being interventions, of which 15 (63%) were included in the meta-analysis. Compared with no intervention, there was a significant small effect of fully automated digital mental well-being interventions on mental well-being in the general population (standardized mean difference 0.19, 95% CI 0.04-0.33; P=.02). Specifically, mindfulness-, acceptance-, commitment-, and compassion-based interventions significantly promoted mental well-being in the general population (P=.006); insufficient evidence was available for positive psychology and cognitive behavioral therapy–based interventions; and contraindications were found for integrative approaches. Overall, there was substantial heterogeneity, which could be partially explained by the intervention duration, comparator, and study outcomes. The risk of bias was high, and confidence in the quality of the evidence was very low (Grading of Recommendations, Assessment, Development, and Evaluations), primarily because of the high rates of study dropout (average 37%; range 0%-85%) and suboptimal intervention adherence (average 40%). Conclusions This study provides a novel contribution to knowledge regarding the effectiveness, strengths, and weaknesses of fully automated digital mental well-being interventions in the general population. Future research and practice should consider these findings when developing fully automated digital mental well-being tools. In addition, research should aim to investigate positive psychology and cognitive behavioral therapy–based tools as well as develop further strategies to improve adherence and reduce dropout in fully automated digital mental well-being interventions. Finally, it should aim to understand when and for whom these interventions are particularly beneficial. Trial Registration PROSPERO CRD42022310702; https://tinyurl.com/yc7tcwy7

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Toward Understanding Users’ Interactions with a Mental Health App: An Association Rule Mining Approach

Alslaity¹,

Chan²,

Wilson³

et al. 2023

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Acceptability, Engagement, and Exploratory Outcomes of an Emotional Well-being App: Mixed Methods Preliminary Evaluation and Descriptive Analysis

Cited by 9 publications

References 88 publications

Tailored Self-Management App to Support Older Adults With Cancer and Multimorbidity: Development and Usability Testing

Tailored Self-Management App to Support Older Adults With Cancer and Multimorbidity: Development and Usability Testing

The Effectiveness of Fully Automated Digital Interventions in Promoting Mental Well-Being in the General Population: Systematic Review and Meta-Analysis

Toward Understanding Users’ Interactions with a Mental Health App: An Association Rule Mining Approach

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