2022
DOI: 10.1037/cps0000101
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Unpacking the heterogeneity in treatment effects as a path to personalized psychotherapies: Are we there yet?

Abstract: Nili Solomonov served as lead for conceptualization, methodology, and writing the original draft, review and editing, and took an equal role in investigation and obtaining resources. Jacques P. Barber took an equal role in investigation, conceptualization, and validation, and a supporting role in supervision, and in writing the original draft, review and editing.

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Cited by 5 publications
(3 citation statements)
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“…Patients in the modular treatment arm were nearly three times as likely to show post-treatment remission (29.4% vs. 11.4%, OR=3.2). This finding provides a preliminary support to the usefulness of a modular mechanism-based approach aimed to personalize psychotherapy 9,45 , in order to address the substantial interindividual heterogeneity in treatment effects among depressed patients [46][47][48][49][50][51][52] .…”
Section: Discussionmentioning
confidence: 71%
“…Patients in the modular treatment arm were nearly three times as likely to show post-treatment remission (29.4% vs. 11.4%, OR=3.2). This finding provides a preliminary support to the usefulness of a modular mechanism-based approach aimed to personalize psychotherapy 9,45 , in order to address the substantial interindividual heterogeneity in treatment effects among depressed patients [46][47][48][49][50][51][52] .…”
Section: Discussionmentioning
confidence: 71%
“…Instead, mostly average group-level treatment effects of repeated cross-sectional measures with low temporal resolution are investigated based on the doubtful assumption that patients with shared diagnoses represent homogeneous populations. However, there is substantial heterogeneity between patients with depression regarding their individual symptom profiles [5] and the variability of treatment effects [6, 7], resulting in an overestimated group-to-individual generalizability [8, 9]. To provide effective personalized treatments, investigations of these individual differences and characteristics of patients are urgently needed.…”
Section: Introductionmentioning
confidence: 99%
“…Instead, mostly average group-level treatment effects of repeated cross-sectional measures with low temporal resolution are investigated, based on the doubtful assumption that patients with shared diagnoses represent homogeneous populations. However, there is substantial heterogeneity between patients with depression regarding their individual symptom profiles (5) and the variability of treatment effects (6,7), resulting in an overestimated group-to-individual generalizability (8,9). To provide effective personalized treatments, investigations of these individual differences and characteristics of patients are needed.…”
Section: Introductionmentioning
confidence: 99%