Understanding Appropriation of Digital Self-Monitoring Tools in Mental Health Care: Qualitative Analysis

JMIR Human Factors, Journal Year: 2025, Volume and Issue: 12, P. e60096 - e60096

Published: March 3, 2025

Abstract Background Digital self-monitoring tools, such as the experience sampling method (ESM), enable individuals to collect detailed information about their mental health and daily life context may help guide support person-centered care. However, similar many digital interventions, ESM struggles move from research clinical integration. To implementation of tools in care, it is important understand why how clinicians clients adopted, adapted, incorporated these practice. Objective Therefore, this study examined within a psychiatric center appropriated an ESM-based tool therapy. Methods Twelve 24 participated piloting tool, IMPROVE. After utilizing 7 11 took part semistructured interviews. A thematic framework analysis was performed focusing on participants’ prior knowledge expectations, actual use practice, potential future tools. Results Many participants experienced that provided useful clients’ health, especially when engaged collaborative data interpretation. several mismatches between system usability technical competencies, found difficult comply with self-assessments. Importantly, most wanted future. Conclusions Clinicians’ choice adopt integrate practice seems depend upon perceived balance added benefits effort required achieve them. Enhancing user or redesigning reduce workload burden could overcome barriers. Future should involve end users development for care further investigate perspectives nonadopters.

Language: Английский

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A systematic review of interpersonal processes and their measurement within experience sampling studies of self-injurious thoughts and behaviours

Clinical Psychology Review, Journal Year: 2024, Volume and Issue: 113, P. 102467 - 102467

Published: July 11, 2024

Language: Английский

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Can experience sampling self-monitoring tools promote the activation of clients in mental healthcare? A qualitative study

Journal of Mental Health, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 9

Published: March 25, 2025

Actively engaging clients in managing their health and care is crucial for person-centered mental healthcare. Self-monitoring tools such as the Experience Sampling Method (ESM) can help individuals collect information about daily activities on smartphones share this with clinicians. This qualitative paper examines how ESM self-monitoring might enhance self-insight, self-management, self-efficacy, therapeutic alliance, shared decision-making way facilitate activation of Twelve clinicians 24 participated IMPROVE study. After using tool, seven 11 were interviewed, a thematic analysis examined participants' experiences changes processes related to client activation. Clients reported improvements self-awareness, self-management. Only few participants experienced enhanced improved alliances, more involvement. Self-awareness was mainly boosted via smartphone self-monitoring, while collaborative data interpretation between unlocking insights clients' creating actionable therapy goals. Our findings suggest that Future research should develop best practice guidelines integrating these into clinical care.

Language: Английский

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The experience sampling methodology as a digital clinical tool for more person-centered mental health care: an implementation research agenda

Psychological Medicine, Journal Year: 2024, Volume and Issue: 54(11), P. 2785 - 2793

Published: Aug. 1, 2024

Abstract This position paper by the international IMMERSE consortium reviews evidence of a digital mental health solution based on Experience Sampling Methodology (ESM) for advancing person-centered care and outlines research agenda implementing innovative tools into routine clinical practice. ESM is structured diary technique recording real-time self-report data about current state using mobile application. We will review how may contribute to (1) service user engagement empowerment, (2) self-management recovery, (3) goal direction in assessment management care, (4) shared decision-making. However, despite demonstrating value ESM-based approaches enhancing it hardly integrated Therefore, we propose global addressing six key challenges: motivation ability users adhere monitoring, reporting feedback, competence clinicians healthcare delivery settings integrate workflow, technical requirements governance integrating these (5) financial related resources IT-infrastructure clinician time, (6) implementation studies that build evidence-base. While focused ESM, holds broader implications innovations health. calls shift focus from developing new interventions overcoming barriers, essential achieving true transformation toward

Language: Английский

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Using Freely Generated Labels Instead of Rating Scales to Assess Emotion in Everyday Life

Assessment, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 30, 2024

To measure emotion in daily life, studies often prompt participants to repeatedly rate their feelings on a set of prespecified terms. This approach has yielded key findings the psychological literature yet may not represent how people typically describe experiences. We used an alternative approach, which labeled current with at least one word choosing. In initial study, estimates label positivity recapitulated momentary valence ratings and were associated self-reported mental health. The number unique words over time was related balance spread emotions endorsed end-of-day rating task, but other measures emotional functioning. A second study tested replicated subset these findings. Considering variety richness participant responses, free-label appears be viable as well compelling means studying everyday life.

Language: Английский

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Recovery at your fingertips: pilot study of an mHealth intervention for work-related stress among nursing students

BMC Digital Health, Journal Year: 2024, Volume and Issue: 2(1)

Published: Sept. 23, 2024

Abstract Background Work-related stress is detrimental to individual health and incurs substantial social costs. Interventions tackle this problem are urgently needed, with mHealth solutions being a promising way of delivering accessible standardized interventions on wide scale. This study pilot tests low-intensive intervention designed mitigate the negative consequences through promoting recovery strategies. Methods Nursing school students ( N = 16) used for month. Data were collected immediately before, after, one month after end intervention. Additionally, intensive longitudinal data daily during time Primary outcome measures include recruitment retention rates, engagement acceptability intervention, as well evaluating quality measurement instruments. Results Recruitment rates provide benchmark that we need invite 10–12 times intended target sample size. Engagement metrics overall, showing key areas be adapted improve Measurement acceptable instruments mostly functioning intended. Conclusion show protocol feasible conducting randomized controlled trial given few adjustments. The randomization algorithm needs match size in order allocate evenly distributed experimental groups. Acceptability may improved adapting recommended Some additional suggested more comprehensive picture effects. Trial registration NCT06228495. Registered retrospectively 01/10/2024.

Language: Английский

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Toward an mHealth App for Early Detection of Relapse in Remitted Depressed Individuals: A Focus Group Study on User Requirements and Concerns (Preprint)

Published: Oct. 4, 2024

Major depressive disorder is often a recurrent condition, with high risk of relapse for remitted depressed individuals. Early detection critical to improve clinical outcomes. mHealth (mobile health) technologies offer new opportunities real-time monitoring and prevention relapse, given that user requirements the target population are effectively implemented. This study investigated individuals’ concerns an app aimed at symptoms detecting early signs through integrating both active ecological momentary assessment (EMA) data passive from user’s smartphone smartwatch. Three focus group discussions were conducted 17 participants who had history depression but in remission time study. Prior group, gained some experience in-house designed EMA app, prompting questions regarding their mood multiple times throughout day. During groups, feedback insights gathered into participants’ expectations, requirements, concerns, attitudes toward app. A thematic analysis was performed identify recurring themes subthemes, shedding light on desired functionalities. We identified five main themes. Participants highlighted (1) need customization settings, particularly terms collection sharing, frequency self-assessments. They also valued (2) positivity app’s design positive reinforcement journaling features. Additionally, emphasized (3) interventions be motivator adoption long-term usage. More specifically, they wanted foster self-awareness, self-reflection support during deteriorations mental health. Furthermore, deemed (4) transparency use machine learning predictions essential building trust. required these functionalities bear (5) burdens self-monitoring. Key cause privacy burden raise emotional burden. Considering vulnerability potential users, caution warranted prevention. Users’ customization, positivity, interventions, must addressed, while minimizing Carefully balancing elements crucial ensure engagement.

Language: Английский

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