Experience sampling research in individuals with mental illness: reflections and guidance

Palmier‐Claus, Jasper; Myin-Germeys, Inez; Barkus, Emma; Bentley, LM; Udachina, Alisa; Delespaul, Philippe; Lewis, Shôn; Dunn, Graham

doi:10.1111/j.1600-0447.2010.01596.x

Cited by 253 publications

(268 citation statements)

References 43 publications

Supporting

Mentioning

253

Contrasting

Unclassified

Order By: Relevance

“…All twenty-two participants completed the full ESM schedule and completed more entries than the traditionally accepted one-third of assessment points (Palmier-Claus et al, 2011). Out of a possible 720 assessment points, a total of 557 entries were completed by 16 participants within 15 minutes of each prompt, representing a 77.4% overall response rate.…”

Section: Retention and Adherencementioning

confidence: 99%

High resolution examination of the role of sleep disturbance in predicting functioning and psychotic symptoms in schizophrenia: A novel experience sampling study.

Mulligan¹,

Haddock²,

Emsley³

et al. 2016

Journal of Abnormal Psychology

View full text Add to dashboard Cite

Sleep disturbance is common in schizophrenia, but its role in predicting functioning and psychotic symptoms has yet to be rigorously examined. The purpose of this study was to conduct a prospective, high-resolution examination of the relationship between nightly sleep and next-day functioning and psychotic symptoms in people with a diagnosis of schizophrenia. Experience sampling methodology was integrated with actigraphy and sleep diaries across 7 days in 22 patients with a diagnosis of schizophrenia. Momentary assessments of mood, psychotic symptoms, and functioning were gathered at 5 points each day following pseudorandom schedules. Multilevel modeling was performed to evaluate the links between variables. Objective and subjective sleep disturbance predicted reduced next-day functioning, which remained significant after controlling for psychotic symptom severity. Increased sleep fragmentation and reduced subjective and objective sleep efficiency predicted greater next-day auditory hallucinations, whereas increased objective sleep fragmentation and reduced subjective sleep quality predicted greater paranoia and delusions of control. Negative affect on awakening mediated a proportion of these relationships (range: 17.9 -57.3%). For the first time, we show that sleep disturbance is a predictor of next-day impaired functioning and psychotic symptom severity in people with a diagnosis of schizophrenia. Therefore, interventions targeting sleep may have the potential to directly and indirectly enhance functional and symptomatic recovery in those experiencing psychosis.

show abstract

Section: Retention and Adherencementioning

confidence: 99%

High resolution examination of the role of sleep disturbance in predicting functioning and psychotic symptoms in schizophrenia: A novel experience sampling study.

Mulligan¹,

Haddock²,

Emsley³

et al. 2016

Journal of Abnormal Psychology

View full text Add to dashboard Cite

show abstract

“…Mobile phone technologies are increasingly being used for both the assessment and treatment of serious mental illness as well (24–32). Mobile phones, including smartphones, represent an ideal medium to improve medication adherence because of their availability and acceptability among individuals with schizophrenia (33), and their ability to enhance the ecological validity of mental health assessments and treatments as they take place in real time and in individuals’ natural settings (34–35). Increasingly, mobile phonetechnologies are being used to improve medication adherence among individuals with schizophrenia (24–29), though only one pilot study has employed a smartphone application (28–29) to date…”

Section: Introductionmentioning

confidence: 99%

Development and Feasibility Testing of a Smartphone Intervention to Improve Adherence to Antipsychotic Medications

Kreyenbuhl¹,

Record²,

Himelhoch³

et al. 2019

Clinical Schizophrenia & Related Psychoses

View full text Add to dashboard Cite

Approximately 60% of individuals with schizophrenia do not take their antipsychotic medications as prescribed, and nonadherence is associated with exacerbation of psychotic symptoms, increased hospital and emergency room use, and increased healthcare costs. Behavioral-tailoring strategies that incorporate medication taking into the daily routine and use environmental supports have shown promise as adherence-enhancing interventions. Informed by the Information-Motivation-Behavioral (IMB) Skills Model and using the iterative process of user-centered design, we collaborated with individuals with schizophrenia and psychiatrists to develop an interactive smartphone application and web-based clinician interface, MedActive, for improving adherence to oral antipsychotic treatment. MedActive facilitates the active involvement of individuals with schizophrenia in managing their antipsychotic medication regimen by providing automated reminders for medication administration and tailored motivational feedback to encourage adherence, and by displaying user-friendly results of daily ecological momentary assessments (EMAs) of medication adherence, positive psychotic symptoms, and medication side effects for individuals and their psychiatrists. In a 2-week open trial completed by 7 individuals with schizophrenia and their psychiatrists, MedActive was determined to be both feasible and acceptable, with patient participants responding to 80% of all scheduled EMAs and providing positive evaluations of their use of the application. Psychiatrist participants were interested in viewing the information provided on the MedActive clinician interface, but cited practical barriers to regularly accessing it and integrating into their daily practice.

show abstract

“…ESM has a high degree of ecological validity as it examines experiences in the real world as they occur naturally without interpretation by an interviewer [5,6]. The short time span between the experience and the actual reporting of the experience reduces memory bias and socially desirable answers [7].…”

Section: Introductionmentioning

confidence: 99%

Clinical Network Analysis in a Bipolar Patient Using an Experience Sampling Mobile Health Tool: An n=1 Study

Voigt¹,

Kreiter²,

Jacobs³

et al. 2018

Bipolar Disord

View full text Add to dashboard Cite

Objective: Analyses of longitudinal data pertaining to a single person can provide insight into the emotional dynamics of bipolar disorder at the symptom level. Aims were to examine (1) co-variation of a priori selected mental states in daily life in a patient with bipolar disorder; and (2) connections between these mental states during a hypomanic and a depressive period in bipolar disorder. Methods:A single person diagnosed with bipolar disorder used the Experience Sampling Method (ESM) to collect data on experiences and mood ten times a day, for three months. Linear regression analyses were performed, stratified by hypomanic or depressive period. The a priori selected set of dependent variables included 'anxiety', 'down', 'cheerful', 'satisfied', 'tired' and 'lonely'. Independent variables were the same symptoms as collected one random moment earlier during the same day (t-1, lagged). Regression coefficients were presented in network graphs. Results:Mood fluctuated strongly over time. The variable 'down' was central in the networks of both the hypomanic and depressive period. 'Satisfied' was only central in the hypomanic network. Conclusion:In this patient, depression was the central emotion during both hypomanic and depressive periods. The distinction between depression and hypomania may sometimes lie in respectively the absence and presence of certain positive mood states. Furthermore, the present paper showed that extreme mood shifts in bipolar disorder can be studied after generating mood networks to gain precise insights in dynamic relations and the degree of cohesion between symptoms. These insights may be useful in the clinical setting to support self-monitored and personalised feedback and interventions.

show abstract

Experience sampling research in individuals with mental illness: reflections and guidance

Abstract: The last decade has seen an increase in the number of studies employing the ESM in clinical research. Further research is needed to examine the optimal equipment and procedure for different clinical groups.

Cited by 253 publications

References 43 publications

High resolution examination of the role of sleep disturbance in predicting functioning and psychotic symptoms in schizophrenia: A novel experience sampling study.

High resolution examination of the role of sleep disturbance in predicting functioning and psychotic symptoms in schizophrenia: A novel experience sampling study.

Development and Feasibility Testing of a Smartphone Intervention to Improve Adherence to Antipsychotic Medications

Clinical Network Analysis in a Bipolar Patient Using an Experience Sampling Mobile Health Tool: An n=1 Study

Contact Info

Product

Resources

About