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Preferences for an Experience Sampling Method–Based Tool as an Adjunct to Usual Treatment in Patients With Problem Substance Use: Qualitative Study Background: Mobile health tools that use the Experience Sampling Method (ESM) appear to be a promising tool to streamline and improve the treatment of substance use disorders. However, patient involvement in the development of these tools is uncommon, and research on the preferences of people being treated for substance use disorders has been scarce. In the scope of the European Union IMMERSE (Implementing Mobile Mental health Recording Strategy for Europe) consortium, an ESM-based tool for Digital Mobile Mental Health (DMMH) was first codeveloped and later tested in 4 European countries. Objective: This study aimed to achieve an understanding of preferences for features of DMMH among mental health service users with problem substance use. Methods: In 4 European countries, service users were recruited for a semistructured qualitative interview, which started with the presentation of a prototype of the DMMH. Data analysis was performed through directed qualitative content analysis. Results: The analytical sample consisted of 12 (5 female, 6 male, and 1 nonbinary person) participants with problem substance use aged 18-50 years. There were 4 participants from Slovakia, 3 from Belgium, 4 from Germany, and 1 from Scotland. Patient preferences were classified into 7 categories: notifications, questions, user interface, functionality changes, visualizations, sharing data with clinicians, and sharing data with others. The proposed intensive notification schedule was deemed acceptable by service users as long as the questionnaire is short. Participants expressed a preference for open-text response options, Ecological Momentary Interventions, and options for individual customization of several elements of the tool. Data visualization was considered an important aid for communication with clinicians, with whom all participants wanted to share data obtained with DMMH. The possibility of sharing data with other people depended on the quality of the relationship with them. Conclusions: In the development of ESM-based mobile health tools for people with problem substance use, their preferences for content, functionality, and appearance of the tools should be considered so they match patients’ treatment needs.

JMIR Formative Res: Preferences for an Experience Sampling Method–Based Tool as an Adjunct to Usual Treatment in Patients With Problem Substance Use: Qualitative Study #MentalHealth #SubstanceUse #MobileHealth #ExperienceSamplingMethod #DigitalHealth

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Visualization of Experience Sampling Method Data in Mental Health: Qualitative Study of the Physicians’ Perspective in Germany Background: Although the integration of self-monitored patient data into mental health care offers potential for advancing personalised approaches, its application in clinical practice remains largely...

New IMMERSE publication is out in @jmirpub.bsky.social by Julia C.C. Schulte-Strathaus! @PublicMentalHealth @ZI Mannheim @Heidelberg University #Phase1

Visualization of #ExperienceSamplingMethod Data in Mental Health: Qualitative Study of the Physicians’ Perspective in Germany. lnkd.in/eYn3fksz

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Exploration of Factors That Affect Engagement With the Experience Sampling Method and Service Users’ Experience of This Within the AVATAR2 Trial: Mixed Methods Study Background: Experience sampling methodology (ESM) is an assessment method ultilised in psychosis research. Symptom severity and gender may be associated with ESM engagement. Exploring qualitative experiences of using ESM amongst people with psychosis should aid developing more accurate, accessible digital assessments. Objective: This study explored factors that could affect ESM engagement, and qualitatively examined the experiences of people with psychosis using ESM. Methods: Data from 207 AVATAR2 trial (ISRCTN55682735) participants were used to evaluate associations between demographic variables, symptom severity and ESM completion rates. Trial participants were purposively sampled to participate in an interview to discuss their experiences of using ESM or to discuss reasons why they chose not to use it. Results: Age, gender, ethnicity and clinical severity were not associated with ESM completion rates. A thematic analysis of 17 participant interviews found three overarching themes. Conclusions: ESM has multiple benefits for people with psychosis including increasing knowledge and awareness of mental health. ESM was straightforward and easy to use, however engaging in other activities, experiencing positive symptoms, little experience using technology and trial involvement impacted engagement. Decisions to use ESM were influenced by concerns about security and privacy. Recommendations are made on how engagement with ESM can be improved, making it easier to use this method with this population.

JMIR Formative Res: Exploration of Factors That Affect Engagement With the Experience Sampling Method and Service Users’ Experience of This Within the AVATAR2 Trial: Mixed Methods Study #Psychosis #ExperienceSamplingMethod #MentalHealthResearch #DigitalAssessment #ESM

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And of course our preregistration will follow soon 👀

#ESM #experiencesamplingmethod #EMA #ecologicalmomentaryassessment #preprint #OSF #psyarxiv

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Have you used the @esmrepository.bsky.social in your research, e.g., to find items, contribute items, conduct measurement research, etc? We need your help! Please share. #ExperienceSamplingMethod #OpenScience @ambulatory-assessment.org

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Blog posts | ESM Item Repository

📣 New blog post! 📣 @ccp-kuleuven.bsky.social's @benjaminkunc.bsky.social gets into the nitty-gritty of factor analysis and its use and misuse: esmitemrepositoryinfo.com/blog-posts #Measurement #ExperienceSamplingMethod

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Blog posts | ESM Item Repository

📣 New blog post 📣 - Head of the ESM Item Repository's Coding Team, Yoram Kunkels, shares his thoughts on working in an "academic start-up": esmitemrepositoryinfo.com/blog-posts#Y... #OpenScience #ExperienceSamplingMethod #DataScience

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Blog posts | ESM Item Repository

The @esmrepository.bsky.social blog is back! In our first post of 2025, I look back at 2024 for the ESM Item Repository and give some sneak peeks about where we're going this year: esmitemrepositoryinfo.com/blog-posts#O... #OpenScience #Measurement #ExperienceSamplingMethod

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OSF

As part of the work we do with the Repository, @gudruneisele.bsky.social led a Delphi study to develop a quality assessment tool for #ExperienceSamplingMethod items, called the ESM-Q. You can read the preprint & access the tool here: osf.io/preprints/ps.... #OpenScience #Measurement #Psychology

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Still time to apply for this! If you are interested in #OpenScience and #ExperienceSamplingMethod (ESM) research, check out our vacancy for a project coordinator on our Mini Many Labs for ESM project! Details and application form below 👇. Please share far and wide 🙂.

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