TY - JOUR
T1 - The experience sampling method as an mHealth tool to support self-monitoring, self-insight, and personalized health care in clinical practice
AU - van Os, Jim
AU - Verhagen, Simone
AU - Marsman, Anne
AU - Peeters, Frank
AU - Bak, Maarten
AU - Marcelis, Machteld
AU - Drukker, Marjan
AU - Reininghaus, Uli
AU - Jacobs, Nele
AU - Lataster, Tineke
AU - Simons, Claudia
AU - Henquet, Cecile
AU - Lardinois, Marielle
AU - Janssens, Mayke
AU - Geschwind, Nicole
AU - Wichers, Marieke
AU - van Nierop, Martine
AU - Lataster, Johan
AU - Thewissen, Viviane
AU - Lousberg, Richel
AU - Gülöksüz, Sinan
AU - Leue, Carsten
AU - Groot, Peter
AU - Viechtbauer, Wolfgang
AU - Delespaul, Philippe
AU - ESM-MERGE Investigators
PY - 2017/6
Y1 - 2017/6
N2 - 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.
AB - 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.
KW - depression
KW - ecological momentary assessment
KW - patient-reported outcome
KW - self-assessment
KW - self-care
KW - RANDOMIZED CONTROLLED-TRIAL
KW - ECOLOGICAL MOMENTARY ASSESSMENT
KW - DAILY-LIFE
KW - ANXIETY DISORDERS
KW - POSITIVE EMOTIONS
KW - ANTIDEPRESSANT MEDICATION
KW - REWARD EXPERIENCE
KW - DIGITAL TOOL
KW - GENETIC RISK
KW - DEPRESSION
U2 - 10.1002/da.22647
DO - 10.1002/da.22647
M3 - Article
C2 - 28544391
SN - 1091-4269
VL - 34
SP - 481
EP - 493
JO - Depression and Anxiety
JF - Depression and Anxiety
IS - 6
ER -