Predicting Adherence to Internet-Delivered Psychotherapy for Symptoms of Depression and Anxiety After Myocardial Infarction: Machine Learning Insights From the U-CARE Heart Randomized Controlled Trial.

Journal: Journal of medical Internet research
Published Date: Oct 10, 2018

Abstract

BACKGROUND: Low adherence to recommended treatments is a multifactorial problem for patients in rehabilitation after myocardial infarction (MI). In a nationwide trial of internet-delivered cognitive behavior therapy (iCBT) for the high-risk subgroup of patients with MI also reporting symptoms of anxiety, depression, or both (MI-ANXDEP), adherence was low. Since low adherence to psychotherapy leads to a waste of therapeutic resources and risky treatment abortion in MI-ANXDEP patients, identifying early predictors for adherence is potentially valuable for effective targeted care.

Authors

  • John Wallert
    Department of Public Health and Caring Sciences, Uppsala University, Box 564, Husargatan 3, SE - 75122, Uppsala, Sweden. john.wallert@kbh.uu.se.
  • Emelie Gustafson
    Clinical Psychology in Healthcare, Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
  • Claes Held
    Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
  • Guy Madison
    Department of Psychology, Umeå University, Hus Y, Behavioral Sciences Building, Vindarnas Torg, Mediagränd 14 B-115, 901 87, Umeå, Sweden.
  • Fredrika Norlund
    Clinical Psychology in Healthcare, Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
  • Louise von Essen
    Clinical Psychology in Healthcare, Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
  • Erik Martin Gustaf Olsson
    Clinical Psychology in Healthcare, Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden.

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