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Effectiveness of guided internet-based interventions in the indicated prevention of depression in green professions (PROD-A): Results of a pragmatic randomized controlled trial

  • Lina Braun*
  • , Ingrid Titzler
  • , Yannik Terhorst
  • , Johanna Freund
  • , Janika Thielecke
  • , David Daniel Ebert
  • , Harald Baumeister
  • *Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

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Abstract

Background: Major Depressive Disorder (MDD) has a major impact on public health. Reduction of depression burden in general population is of greatest importance and might be achieved by implementation of depression prevention measures into routine care. We evaluate an online prevention measure as part of a national project aiming to reduce depression in the occupational group of green professions. Methods: This two-armed pragmatic RCT (n = 360) evaluates the effectiveness of a tailored internet-based intervention (IMI) program compared to enhanced treatment as usual. The IMI program entailed access to one of six guided IMIs each focusing on different symptom areas (depressive mood with optional comorbid diabetes, perceived stress, insomnia, panic and agoraphobia and harmful alcohol consumption). Eligible were entrepreneurs, spouses, family members and pensioners in green professions with adequate insurance status and at least subthreshold depression (PHQ≥5). Primary outcome was depressive symptom severity (QIDS-SR16) at 9-weeks post-treatment (T1). Various secondary outcomes were assessed at T1. Results: A small effect of depression reduction (d=-0.28, 95%-CI: -0.50 to -0.07) was found at T1 favouring the IMI program (β=-0.22, 95%-CI: -0.41 to -0.02, p=.033). Categorical analysis indicated a reduced risk of potential MDD with NNTB=28.11. Adherence to the IMI program at T1 was exceptionally low. Limitations: Results are limited to green professions and representativeness might be restricted by self-selection of participants. Conclusion: Depression burden in green professions can be reduced by this online prevention measure. Yet, short-term effectiveness is restricted by low adherence rates. Trial Registration: German Clinical Trial Registration: DRKS00014000. Registered: 09 April 2018.

Original languageEnglish
Pages (from-to)658-671
Number of pages14
JournalJournal of Affective Disorders
Volume278
Early online date15 Sept 2020
DOIs
Publication statusPublished - 1 Jan 2021

Funding

Funding for this study is based on a financial contribution by the social insurance company (SVLFG) to the University of Ulm and Friedrich-Alexander-University Erlangen-Nürnberg. SVLFG had no role in study design, data collection, analyses, decision to publish or preparation of this manuscript. SVLFG will not be involved in decision to publish or preparation of future papers regarding PROD-A. Assoc. Prof. Dr. David Daniel Ebert (DDE) reports to have received consultancy fees/served in the scientific advisory board from several companies such as Minddistrict, Lantern, Novartis, Sanofi, Schoen Kliniken, Ideamed, German health insurance companies (BARMER, Techniker Krankenkasse) and a number of federal chambers for psychotherapy. He is stakeholder of the Institute for health training online (GET.ON), which aims to implement scientific findings related to digital health interventions into routine care. Prof. Harald Baumeister (HB) reports to have received consultancy fees and fees for lectures/workshops from chambers of psychotherapists and training institutes for psychotherapists in the e-mental-health context. Ingrid Titzler (IT) reports to have received fees for lectures/workshops in the e-mental-health context from training institutes for psychotherapists. She is project lead of the trial site Institute for health training online (GET.ON) for the European implementation research project ImpleMentAll funded by the European Commission. All authors linked to GET.ON institute (DDE, IT) had no influence over analysis and interpretation of study results. The remaining authors report no conflicts of interest.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Depression
  • Green professions
  • Internet- and mobile-based interventions
  • Prevention
  • Randomized controlled trial

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