ArticleJournal of psychosomatic research2020
Time to get personal? The impact of researchers choices on the selection of treatment targets using the experience sampling methodology.
Article in Journal of psychosomatic research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.
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.
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Who cites it
58 citing papers in PubMed, 1 synthesis or guideline pooled it, 153 citations in OpenAlex.
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- Mood dynamics in adolescents and young adults with and without a history of suicidal thoughts and actions: a network approach.BMC psychiatry · 2026Article
- An investigation into in-sample and out-of-sample model selection for nonstationary autoregressive models.The British journal of mathematical and statistical psychology · 2026Article
- Adaptive and Maladaptive Networks Using Ecological Momentary Assessment.Clinical psychology in Europe · 2026Article
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- "Shaking the ladder" reveals how analytic choices can influence associations in nutrition epidemiology: beef intake and coronary heart disease as a case study.Critical reviews in food science and nutrition · 2026Review
- Real-time Ecological Assessment of the Context of mental and physical Health (REACH) on Curious.Research square · 2025Article
- The Potential of Personalized Post-Traumatic Stress Disorder Networks.Psychiatry and clinical psychopharmacology · 2025Article
- Using network analysis to personalize treatment for individuals with co-occurring restrictive eating disorders and suicidality: a proof-of-concept study.Journal of eating disorders · 2025Article
- A scoping review on metrics to quantify reproducibility: a multitude of questions leads to a multitude of metrics.Royal Society open science · 2025Review
- Individual-Specific Animated Profiles of Mental Health.Perspectives on psychological science : a journal of the Association for Psychological Science · 2025Article
- Dynamic time warp versus vector autoregression models for network analyses of psychological processes.Scientific reports · 2025Article
- Introducing synchronous robustness reports.Nature human behaviour · 2025Article
- The reliability of replications: a study in computational reproductions.Royal Society open science · 2025Article
- To Use or Not to Use: Exploring Therapists' Experiences with Pre-Treatment EMA-Based Personalized Feedback in the TheraNet Project.Administration and policy in mental health · 2025Article
- Specific, situated, intra-individual, ambivalent, and open: integrating and advancing the research on entrepreneurial passion.Frontiers in psychology · 2025Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
32 authors at 13 institutions in 5 countries.
Funding
Abstract
objectiveOne of the promises of the experience sampling methodology (ESM) is that a statistical analysis of an individual's emotions, cognitions and behaviors in everyday-life could be used to identify relevant treatment targets. A requisite for clinical implementation is that outcomes of such person-specific time-series analyses are not wholly contingent on the researcher performing them.
methodsTo evaluate this, we crowdsourced the analysis of one individual patient's ESM data to 12 prominent research teams, asking them what symptom(s) they would advise the treating clinician to target in subsequent treatment.
resultsVariation was evident at different stages of the analysis, from preprocessing steps (e.g., variable selection, clustering, handling of missing data) to the type of statistics and rationale for selecting targets. Most teams did include a type of vector autoregressive model, examining relations between symptoms over time. Although most teams were confident their selected targets would provide useful information to the clinician, not one recommendation was similar: both the number (0-16) and nature of selected targets varied widely.
conclusionThis study makes transparent that the selection of treatment targets based on personalized models using ESM data is currently highly conditional on subjective analytical choices and highlights key conceptual and methodological issues that need to be addressed in moving towards clinical implementation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.