Observational studyJournal of medical Internet research2017
Usability, Acceptability, and Adherence to an Electronic Self-Monitoring System in Patients With Major Depression Discharged From Inpatient Wards.
Observational study in Journal of medical Internet research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.
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Who cites it
20 citing papers in PubMed, 3 syntheses or guidelines pooled it, 34 citations in OpenAlex.
- Real-time experience: A systematic review of ecological momentary assessments of everyday functioning in major depressive disorder.Australian occupational therapy journal · 2026Pooled it
- Monitoring Daily Sleep, Mood, and Affect Using Digital Technologies and Wearables: A Systematic Review.Sensors (Basel, Switzerland) · 2024Pooled it
- Distant mood monitoring for depressive and bipolar disorders: a systematic review.BMC psychiatry · 2020Pooled it
- Electronic self-monitored morning depression scores are related to sleep timing and sleep length in depressed patients.Npj biological timing and sleep · 2026Article
- Promoting Rehabilitation Using a Multimodal Internet of Things-Based Patient Monitoring System in a Smart Hospital.IEEE journal of translational engineering in health and medicine · 2026Article
- Application of a Sociotechnical Framework to Uncover Factors That Influence Effective User Engagement With Digital Mental Health Tools in Clinical Care Contexts: Scoping Review.Journal of medical Internet research · 2025Article
- The daily reciprocal associations between electroencephalography measured sleep and affect.Journal of sleep research · 2025Article
- Older adults' preferences for features of medication adherence technologies: a preference elicitation study.BMC digital health · 2025Article
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- Circadian Reinforcement Therapy in Combination With Electronic Self-Monitoring to Facilitate a Safe Postdischarge Period for Patients With Major Depression: Randomized Controlled Trial.JMIR mental health · 2023Article
- Patient Experience of Digitalized Follow-up of Antidepressant Treatment in Psychiatric Outpatient Care: Qualitative Analysis.JMIR mental health · 2023Article
- Digital Health Interventions in Prevention, Relapse, and Therapy of Mild and Moderate Depression: Scoping Review.JMIR mental health · 2021Article
- Associations between daily affect and sleep vary by sleep assessment type: What can ambulatory EEG add to the picture?Sleep health · 2021Article
- Patient and physician perspectives of a smartphone application for depression: a qualitative study.BMC psychiatry · 2021Article
- Dynamic LED-light versus static LED-light for depressed inpatients: study protocol for a randomised clinical study.BMJ open · 2020Article
- Dynamic LED light versus static LED light for depressed inpatients: results from a randomized feasibility trial.Pilot and feasibility studies · 2020Article
- Adapting Evidence-Based Treatments for Digital Technologies: a Critical Review of Functions, Tools, and the Use of Branded Solutions.Current psychiatry reports · 2019Review
- Article
- Technological Interventions for Medication Adherence in Adult Mental Health and Substance Use Disorders: A Systematic Review.JMIR mental health · 2019Article
Corrections and comments
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Authors and funding
12 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPatients suffering from depression have a high risk of relapse and readmission in the weeks following discharge from inpatient wards. Electronic self-monitoring systems that offer patient-communication features are now available to offer daily support to patients, but the usability, acceptability, and adherence to these systems has only been sparsely investigated.
objectiveWe aim to test the usability, acceptability, adherence, and clinical outcome of a newly developed computer-based electronic self-assessment system (the Daybuilder system) in patients suffering from depression, in the period from discharge until commencing outpatient treatment in the Intensive Outpatient Unit for Affective Disorders.
methodsPatients suffering from unipolar major depression that were referred from inpatient wards to an intensive outpatient unit were included in this study before their discharge, and were followed for four weeks. User satisfaction was assessed using semiqualitative questionnaires and the System Usability Scale (SUS). Patients were interviewed at baseline and at endpoint with the Hamilton depression rating scale (HAM-D17), the Major Depression Inventory (MDI), and the 5-item World Health Organization Well-Being Index (WHO-5). In this four-week period patients used the Daybuilder system to self-monitor mood, sleep, activity, and medication adherence on a daily basis. The system displayed a graphical representation of the data that was simultaneously displayed to patients and clinicians. Patients were phoned weekly to discuss their data entries. The primary outcomes were usability, acceptability, and adherence to the system. The secondary outcomes were changes in: the electronically self-assessed mood, sleep, and activity scores; and scores from the HAM-D17, MDI, and WHO-5 scales.
resultsIn total, 76% of enrolled patients (34/45) completed the four-week study. Five patients were readmitted due to relapse. The 34 patients that completed the study entered data for mood on 93.8% of the days (872/930), sleep on 89.8% of the days (835/930), activity on 85.6% of the days (796/930), and medication on 88.0 % of the days (818/930). SUS scores were 86.2 (standard deviation [SD] 9.7) and 79% of the patients (27/34) found that the system lived up to their expectations. A significant improvement in depression severity was found on the HAM-D17 from 18.0 (SD 6.5) to 13.3 (SD 7.3; P<.01), on the MDI from 27.1 (SD 13.1) to 22.1 (SD 12.7; P=.006), and in quality of life on the WHO-5 from 31.3 (SD 22.9) to 43.4 (SD 22.1; P<.001) scales, but not on self-assessed mood (P=.08). Mood and sleep parameters were highly variable from day-to-day. Sleep-offset was significantly delayed from baseline, averaging 48 minutes (standard error 12 minutes; P<.001). Furthermore, when estimating delay of sleep-onset (with sleep quality included in the model) during the study period, this showed a significant negative effect on mood (P=.03).
conclusionsThe Daybuilder systems performed well technically, and patients were satisfied with the system and had high adherence to self-assessments. The dropout rate and the gradual delay in sleep emphasize the need for continued clinical support for these patients, especially when considering sleep guidance.
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