Trial reportPloS one2014
Testing an mHealth momentary assessment Routine Outcome Monitoring application: a focus on restoration of daily life positive mood states.
Trial report in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Trial
- Ecological momentary assessment to uncover affect dynamics in patients with hereditary angioedema: a complementary tool for enhancing quality of life evaluation.Frontiers in psychology · 2026Article
- User-Centered Design of a Digitally Enabled Care Pathway in a Large Health System: Qualitative Interview Study.JMIR human factors · 2023Article
- Design and Implementation of a Digitally Enabled Care Pathway to Improve Management of Depression in a Large Health Care System: Protocol for the Implementation of a Patient Care Platform.JMIR research protocols · 2023Article
- Acceptability of an mHealth App for Monitoring Perinatal and Postpartum Mental Health: Qualitative Study With Women and Providers.JMIR formative research · 2023Article
- Ensuring patient and public involvement in the transition to AI-assisted mental health care: A systematic scoping review and agenda for design justice.Health expectations : an international journal of public participation in health care and health policy · 2021Article
- A Framework for Competencies for the Use of Mobile Technologies in Psychiatry and Medicine: Scoping Review.JMIR mHealth and uHealth · 2020Article
- Combining Continuous Smartphone Native Sensors Data Capture and Unsupervised Data Mining Techniques for Behavioral Changes Detection: A Case Series of the Evidence-Based Behavior (eB2) Study.JMIR mHealth and uHealth · 2018Article
- Experience sampling methodology in mental health research: new insights and technical developments.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2018Article
- Ecological Momentary Assessment in Behavioral Research: Addressing Technological and Human Participant Challenges.Journal of medical Internet research · 2017Article
- Article
- Advances in mobile mental health: opportunities and implications for the spectrum of e-mental health services.mHealth · 2017Review
- Acceptance and Commitment Therapy in Daily Life Training: A Feasibility Study of an mHealth Intervention.JMIR mHealth and uHealth · 2016Article
- Taking mHealth Forward: Examining the Core Characteristics.JMIR mHealth and uHealth · 2016Article
- Mobile technology for mental health assessment.Dialogues in clinical neuroscience · 2016Review
- Article
- The THRIVE model: A framework and review of internal and external predictors of coping with chronic illness.Health psychology openReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRoutine Outcome Monitoring (ROM) is used as a means to enrich the process of treatment with feedback on patient outcomes, facilitating patient involvement and shared decision making. While traditional ROM measures focus on retrospective accounts of symptoms, novel mHealth technology makes it possible to collect real life, in-the-moment ambulatory data that allow for an ecologically valid assessment of personalized and contextualized emotional and behavioural adjustment in the flow daily life (mROM).
methodIn a sample of 34 patients with major depressive disorder, treated with antidepressants, the combined effect of treatment and natural course was examined over a period of 18 weeks with Ecological Momentary Assessment (EMA). EMA consisted of repeated, within-subject, mini-measurements of experience (eg positive affect, negative affect, medication side effects) and context (eg stressors, situations, activities) at 10 unselected semi-random moments per day, for a period of six days, repeated three times over the 18-week period (baseline, week 6 and week 18).
resultsEMA measures of emotional and behavioural adjustment were sensitive to the effects of treatment and natural course over the 18-week period, particularly EMA measures focussing on positive mood states and the ability to use natural rewards (impact of positive events on positive mood states), with standardized effect sizes of 0.4-0.5. EMA measures of activities, social interaction, stress-sensitivity and negative mood states were also sensitive to change over time.
conclusionThis study supports the use of mROM as a means to involve the patient in the process of needs assessment and treatment. EMA data are meaningful to the patient, as they reflect daily life circumstances. Assessment of treatment response with mROM data allows for an interpretation of the effect of treatment at the level of daily life emotional and social adjustment--as an index of health, obviating the need for an exclusive focus on traditional measures of 'sickness'.
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