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Clinical psychological science : a journal of the Association for Psychological Science
May, 2024;12 (3): 517-525.

Evidence for Bidirectional, Cross-Lagged Associations Between Alliance and Psychological Distress in an Unguided Mobile-Health Intervention.

Simon B Goldberg, Zishan Jiwani, Daniel M Bolt, Kevin M Riordan, Richard J Davidson, Matthew J Hirshberg
Author Information
  1. Simon B Goldberg: Department of Counseling Psychology, UW-Madison, Madison, WI, USA.
  2. Zishan Jiwani: Department of Counseling Psychology, UW-Madison, Madison, WI, USA.
  3. Daniel M Bolt: Department of Educational Psychology, UW-Madison, Madison, WI, USA.
  4. Kevin M Riordan: Department of Counseling Psychology, UW-Madison, Madison, WI, USA.
  5. Richard J Davidson: Center for Healthy Minds, UW-Madison, Madison, WI, USA.
  6. Matthew J Hirshberg: Center for Healthy Minds, UW-Madison, Madison, WI, USA.
PMID: 38863442 DOI: 10.1177/21677026231184890

Abstract

Bidirectional associations between changes in symptoms and alliance are established for in-person psychotherapy. Alliance may play an important role in promoting engagement and effectiveness within unguided mobile health (mHealth) interventions. Using models disaggregating alliance and psychological distress into within- and between-person components (random intercept cross-lagged panel model), we report bidirectional associations between alliance and distress over the course of a 4-week smartphone-based meditation intervention (=302, 80.0% elevated depression/anxiety). Associations were stable across time with effect sizes similar to those observed for psychotherapy (��s=-.13 to -.14 and -.09 to -.10, for distress to alliance and alliance to distress, respectively). Alliance may be worth measuring to improve the acceptability and effectiveness of mHealth tools. Further empirical and theoretical work characterizing the role and meaning of alliance in unguided mHealth is warranted.

Keywords

digital technology mobile health smartphone-based interventions working alliance

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Grants

  1. K01 MH130752/NIMH NIH HHS
  2. K23 AT010879/NCCIH NIH HHS
  3. U24 AT011289/NCCIH NIH HHS
Journal Article
Article has an altmetric score of 9

Word Cloud

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