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Analysis of the Components of a Cognitive-Behavioral Intervention for the prevention of Depression Administered via Conference Call to Nonprofessional Caregivers: A Randomized Controlled Trial

Author

Listed:
  • Fernando L. Vázquez

    (Department of Clinical Psychology and Psychobiology, University of Santiago de Compostela, 15705 Santiago de Compostela, Spain)

  • Lara López

    (Department of Clinical Psychology and Psychobiology, University of Santiago de Compostela, 15705 Santiago de Compostela, Spain)

  • Ángela J. Torres

    (Department of Psychiatry, Radiology and Public Health, University of Santiago de Compostela, 15705 Santiago de Compostela, Spain)

  • Patricia Otero

    (Department of Psychology, University of A Coruña, 15001 A Coruña, Spain)

  • Vanessa Blanco

    (Department of Evolutionary and Educational Psychology, University of Santiago de Compostela, 15705 Santiago de Compostela, Spain)

  • Olga Díaz

    (Department of Clinical Psychology and Psychobiology, University of Santiago de Compostela, 15705 Santiago de Compostela, Spain)

  • Mario Páramo

    (Department of Psychiatry, Radiology and Public Health, University of Santiago de Compostela, 15705 Santiago de Compostela, Spain)

Abstract

Effective and accessible interventions for indicated prevention of depression are necessary and lacking, especially for informal caregivers. Although telephone-based interventions could increase the accessibility for caregivers, randomized controlled trials are scarce, with no examination of prevention to date. Moreover, the efficacy of specific therapeutic components in preventive cognitive-behavioral programs is unknown. The main objective of this study was to evaluate the efficacy of a telephone-administered psychological preventive intervention in informal caregivers with high depressive symptoms. A total of 219 caregivers were randomized to a cognitive-behavioral conference call intervention (CBCC, n = 69), a behavioral-activation conference call intervention (BACC, n = 70), or a usual care control group (CG, n = 80). Both interventions consisted of five 90-minute group sessions. At the post-intervention, incidence of depression was lower in CBCC and BACC compared to CG (1.5% and 1.4% vs. 8.8%). Relative risk was 0.17 for the CBCC and 0.16 for the BACC, and the number-needed-to-treat was 14 in both groups. Depressive symptoms were significantly lower in BACC and BACC groups compared to CG ( d = 1.16 and 1.29), with no significant differences between CBCC and BACC groups. The conference call intervention was effective in preventing depression and the behavioral-activation component (BACC) was comparable to the CBCC intervention.

Suggested Citation

  • Fernando L. Vázquez & Lara López & Ángela J. Torres & Patricia Otero & Vanessa Blanco & Olga Díaz & Mario Páramo, 2020. "Analysis of the Components of a Cognitive-Behavioral Intervention for the prevention of Depression Administered via Conference Call to Nonprofessional Caregivers: A Randomized Controlled Trial," IJERPH, MDPI, vol. 17(6), pages 1-18, March.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:6:p:2067-:d:334846
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    References listed on IDEAS

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    1. Kenneth F Schulz & Douglas G Altman & David Moher & for the CONSORT Group, 2010. "CONSORT 2010 Statement: Updated Guidelines for Reporting Parallel Group Randomised Trials," PLOS Medicine, Public Library of Science, vol. 7(3), pages 1-7, March.
    2. Bates, Douglas & Mächler, Martin & Bolker, Ben & Walker, Steve, 2015. "Fitting Linear Mixed-Effects Models Using lme4," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i01).
    3. Larsen, Daniel L. & Attkisson, C. Clifford & Hargreaves, William A. & Nguyen, Tuan D., 1979. "Assessment of client/patient satisfaction: Development of a general scale," Evaluation and Program Planning, Elsevier, vol. 2(3), pages 197-207, January.
    4. James Honaker & Gary King, 2010. "What to Do about Missing Values in Time‐Series Cross‐Section Data," American Journal of Political Science, John Wiley & Sons, vol. 54(2), pages 561-581, April.
    5. Honaker, James & King, Gary & Blackwell, Matthew, 2011. "Amelia II: A Program for Missing Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i07).
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    1. Lara Lopez & Fernando L. Vázquez & Ángela J. Torres & Patricia Otero & Vanessa Blanco & Olga Díaz & Mario Páramo, 2020. "Long-Term Effects of a Cognitive Behavioral Conference Call Intervention on Depression in Non-Professional Caregivers," IJERPH, MDPI, vol. 17(22), pages 1-24, November.
    2. Patricia Otero & Isabel Hita & Ángela J. Torres & Fernando L. Vázquez, 2020. "Brief Psychological Intervention Through Mobile App and Conference Calls for the Prevention of Depression in Non-Professional Caregivers: A Pilot Study," IJERPH, MDPI, vol. 17(12), pages 1-15, June.

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