The experience sampling method as an mHealth tool to support self-monitoring, self-insight, and personalized health care in clinical practice
| Autor: | Maarten Bak, Carsten Leue, Anne Marsman, Philippe Delespaul, Marjan Drukker, Peter C. Groot, Machteld Marcelis, Frenk Peeters, Sinan Guloksuz, Ulrich Reininghaus, Wolfgang Viechtbauer, Claudia J.P. Simons, Simone J. W. Verhagen, Richel Lousberg, Jim van Os, Esm-Merge Investigators, Tineke Lataster, Nele Jacobs |
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| Přispěvatelé: | Section Lifespan Psychology, RS-Research Line Lifespan psychology (part of IIESB program), RS-Research Line Clinical psychology (part of IIESB program), Department Clinical Psychology, RS: MHeNs - R2 - Mental Health, Promovendi MHN, Psychiatrie & Neuropsychologie, MUMC+: MA Med Staf Spec Psychiatrie (9), RS: CAPHRI other, Section Clinical Psychology, RS: FPN CPS III |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Self-assessment
Experience sampling method Psychotherapist Mindfulness DIGITAL TOOL media_common.quotation_subject ANXIETY DISORDERS Applied psychology GENETIC RISK REWARD EXPERIENCE patient-reported outcome 03 medical and health sciences 0302 clinical medicine self-care Humans Precision Medicine mHealth media_common Mental Disorders ecological momentary assessment Cognition POSITIVE EMOTIONS RANDOMIZED CONTROLLED-TRIAL self-assessment DEPRESSION Mobile Applications Mental health Telemedicine 030227 psychiatry Psychiatry and Mental health Clinical Psychology DAILY-LIFE Self-monitoring Psychological resilience ANTIDEPRESSANT MEDICATION Psychology 030217 neurology & neurosurgery |
| Zdroj: | Depression and Anxiety, 34(6), 481-493. Wiley-Blackwell Publishing Ltd Depression and Anxiety, 34(6), 481-493. Wiley Os, J, Verhagen, S, Marsman, A, Peeters, F, Bak, M, Marcelis, M, Drukker, M, Reininghaus, U, Jacobs, N, Lataster, T, Simons, C & ESM-MERGE Investigators PhD 2017, ' The experience sampling method as an mHealth tool to support self-monitoring, self-insight, and personalized health care in clinical practice ', Depression and Anxiety, vol. 34, no. 6, pp. 481-493 . https://doi.org/10.1002/da.22647 |
| ISSN: | 1091-4269 |
| DOI: | 10.1002/da.22647 |
| Popis: | BackgroundThe experience sampling method (ESM) builds an intensive time series of experiences and contexts in the flow of daily life, typically consisting of around 70 reports, collected at 8-10 random time points per day over a period of up to 10 days.MethodsWith the advent of widespread smartphone use, ESM can be used in routine clinical practice. Multiple examples of ESM data collections across different patient groups and settings are shown and discussed, varying from an ESM evaluation of a 6-week randomized trial of mindfulness, to a twin study on emotion dynamics in daily life.ResultsResearch shows that ESM-based self-monitoring and feedback can enhance resilience by strengthening the capacity to use natural rewards. Personalized trajectories of starting or stopping medication can be more easily initiated and predicted if sensitive feedback data are available in real time. In addition, personalized trajectories of symptoms, cognitive abilities, symptoms impacting on other symptoms, the capacity of the dynamic system of mental health to bounce back from disturbance, and patterns of environmental reactivity yield uniquely personal data to support shared decision making and prediction in clinical practice. Finally, ESM makes it possible to develop insight into previous implicit patterns of thought, experience, and behavior, particularly if rapid personalized feedback is available.ConclusionsESM enhances clinical practice and research. It is empowering, providing co-ownership of the process of diagnosis, treatment evaluation, and routine outcome measurement. Blended care, based on a mix of face-to-face and ESM-based outside-the-office treatment, may reduce costs and improve outcomes. |
| Databáze: | OpenAIRE |
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