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Psychiatr Prax 2018; 45(05): 256-262
DOI: 10.1055/s-0043-117049
Originalarbeit
© Georg Thieme Verlag KG Stuttgart · New York

Der komplementäre Einsatz des internetbasierten Selbstmanagementprogramms „moodgym“ bei Menschen mit depressiven Erkrankungen in der stationären Versorgung – die Perspektive von Patienten und Behandlern

Implementation of the Internet-Based Self-Management Program “moodgym” in Patients with Depressive Disorders in Inpatient Clinical Settings – Patient and Expert Perspectives
Marie Dorow
1   Institut für Sozialmedizin, Arbeitsmedizin und Public Health (ISAP), Universität Leipzig
,
Janine Stein
1   Institut für Sozialmedizin, Arbeitsmedizin und Public Health (ISAP), Universität Leipzig
,
Franziska Förster
1   Institut für Sozialmedizin, Arbeitsmedizin und Public Health (ISAP), Universität Leipzig
,
Margrit Löbner
1   Institut für Sozialmedizin, Arbeitsmedizin und Public Health (ISAP), Universität Leipzig
,
Michael Franz
2   Vitos Klinik für Psychiatrie, Psychotherapie und Psychosomatik Gießen und Psychotherapie Marburg
,
Rolf Günther
3   Vitos Kliniken für Psychiatrie und Psychotherapie Bad Emstal, Kassel und Hofgeismar
,
Rolf Schröder
3   Vitos Kliniken für Psychiatrie und Psychotherapie Bad Emstal, Kassel und Hofgeismar
,
Dieter Sommer
3   Vitos Kliniken für Psychiatrie und Psychotherapie Bad Emstal, Kassel und Hofgeismar
,
Dieter Möller
3   Vitos Kliniken für Psychiatrie und Psychotherapie Bad Emstal, Kassel und Hofgeismar
,
Marie Christine Dekoj
4   Klinik für Psychiatrie und Psychotherapie II der Universität Ulm, Bezirkskrankenhaus Günzburg
,
Thomas Becker
4   Klinik für Psychiatrie und Psychotherapie II der Universität Ulm, Bezirkskrankenhaus Günzburg
,
Steffi G. Riedel-Heller
1   Institut für Sozialmedizin, Arbeitsmedizin und Public Health (ISAP), Universität Leipzig
› Author Affiliations
Further Information

Publication History

Publication Date:
29 August 2017 (online)

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Zusammenfassung

Ziel der Studie Erfassung der Nutzungsakzeptanz, Zugangsmöglichkeiten und -barrieren eines Online-Selbstmanagementprogramms (moodgym) für Depressionen.

Methodik Schriftliche Befragungen von n = 181 stationär behandelten Patienten (Prä-Post-Messung, 8 Wochen) und n = 31 Experten.

Ergebnisse Moderate bis hohe Nutzungsakzeptanz. Relevante Zugangsbarrieren waren geringe PC-Erfahrungen, Konzentrationsschwierigkeiten und schwere Krankheitsverläufe.

Schlussfolgerung Erstmals konnte gezeigt werden, dass Interventionen wie moodgym einen komplementären Behandlungsbaustein in der stationären Versorgung bilden könnten.

Abstract

Objective The study aims to assess the acceptance, chances and barriers of an online self-management program (moodgym) for depression from the perspective of experts and patients in inpatient psychiatric settings.

Methods Paper-pencil interviews were conducted with n = 181 depressed inpatients (n = 181, pre-post-assessment after 8 weeks) and n = 31 medical experts. Two regression models were carried out to investigate factors associated with the uptake and the user acceptance of moodgym. Chances and barriers were analysed qualitatively.

Results Experts and patients reported moderate to high user acceptance. 59 % (n = 107) of the patients logged in to moodgym. Factors associated with the uptake were the educational level and treatment preferences. The user acceptance was influenced by the patients’ self-rated health and the frequency of using moodgym. Relevant barriers anticipated by experts were limited computer skills, difficulties in concentration and a severe course of depression. Patients highlighted the ease of use, the moodgym characters and the flexible availability.

Conclusions moodgym may represent a complementary treatment option for depressive disorders in an inpatient setting.

Schlüsselwörter

E-Health - Depression - cCBT - neue Medien

Keywords

E-health - depression - cCBT - new media

Die Tab. 2 und Tab. 4 finden Sie online unter https://doi.org/10.1055/s-0043-117049

 

  • Literatur

  • 1 Kessler RC, Berglund P, Demler O. et al. The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R). JAMA 2003; 289: 3095-3105
    CrossrefPubMedGoogle Scholar
  • 2 Hautzinger M. Psychotherapy of depression. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2008; 51: 422-429
    CrossrefPubMedGoogle Scholar
  • 3 Riedel-Heller SG. Computer-Based Therapies: A Supplement in Modern Psychotherapy? – Pro. Psychiat Prax 2017; 44: 10-11
    Article in Thieme ConnectPubMedGoogle Scholar
  • 4 Mackinnon A, Griffiths KM, Christensen H. Comparative randomised trial of online cognitive-behavioural therapy and an information website for depression: 12-month outcomes. Br J Psychiatry 2008; 192: 130-134
    CrossrefPubMedGoogle Scholar
  • 5 Sikorski C, Luppa M, Kersting A. et al. Computer-aided cognitive behavioral therapy for depression. Psychiat Prax 2011; 38: 61-68
    Article in Thieme ConnectPubMedGoogle Scholar
  • 6 Riedel-Heller SG, Pabst A, Löbner M. et al. MoodGYM as computerised cognitive behaviour therapy (cCBT) embedded in primary care: patients with mild to moderate depression benefit. Results of a large scale cluster randomised trial (AKTIV-Trial). [under review]
    PubMedGoogle Scholar
  • 7 Kühner C, Bürger C, Keller F. et al. Reliability and validity of the Revised Beck Depression Inventory (BDI-II). Results from German samples. Nervenarzt 2007; 78: 651-656
    CrossrefPubMedGoogle Scholar
  • 8 Herdman M, Gudex C, Lloyd A. et al. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual Life Res 2011; 20: 1727-1736
    CrossrefPubMedGoogle Scholar
  • 9 Lund AM. Measuring usability with the USE questionnaire. Usability interface 2001; 8: 3-6
    PubMedGoogle Scholar
  • 10 Mayring P. Qualitative Inhaltsanalyse. Grundlagen und Techniken. Weinheim, Basel: Beltz; 2010
    Google Scholar
  • 11 Beck AT, Steer RA, Brown GK. Beck Depression Inventory. Manual. 2nd. edn. San Antonio: The Psychological Corporation; 1996
    Google Scholar
  • 12 Robertson L, Smith M, Castle D. et al. Using the Internet to enhance the treatment of depression. Australas Psychiatry 2006; 14: 413-417
    CrossrefPubMedGoogle Scholar
  • 13 Whitfield G, Williams C. If the evidence is so good – Why doesn’t anyone use them? – A national survey of the use of computerized cognitive behaviour therapy. Behav Cogn Psychother 2004; 32: 57-65
    CrossrefPubMedGoogle Scholar
  • 14 Eichenberg C, Wolters C, Brähler E. The internet as a mental health advisor in Germany – results of a national survey. PLoS One DOI: 10.1371/journal.pone.0079206.
    CrossrefPubMedGoogle Scholar
  • 15 Meyer B, Bierbrodt J, Schröder J. et al. Effects of an Internet intervention (Deprexis) on severe depression symptoms: Randomized controlled trial. Internet Interv 2015; 2: 48-59
    CrossrefPubMedGoogle Scholar
  • 16 Da Silva PFR, Blay SL. Prevalence and characteristics of outpatient psychotherapy use: a systematic review. J Nerv Ment Dis 2010; 198: 783-789
    CrossrefPubMedGoogle Scholar
  • 17 Reavley NJ, Morgan AJ, Jorm AF. Development of scales to assess mental health literacy relating to recognition of and interventions for depression, anxiety disorders and schizophrenia/psychosis. Aust N Z J Psychiatry 2014; 48: 61-69
    CrossrefPubMedGoogle Scholar
  • 18 Dunn KI, Goldney RD, Grande ED. et al. Quantification and examination of depression-related mental health literacy. J Eval Clin Pract 2009; 15: 650-653
    CrossrefPubMedGoogle Scholar
  • 19 Kaneko Y, Motohashi Y. Male gender and low education with poor mental health literacy: a population-based study. J Epidemiol 2007; 17: 114-119
    CrossrefPubMedGoogle Scholar
  • 20 Griffiths KM, Christensen H. Review of randomised controlled trials of Internet interventions for mental disorders and related conditions. Clin Psychol 2006; 10: 16-29
    CrossrefPubMedGoogle Scholar
  • 21 Berger T, Hämmerli K, Gubser N. et al. Internet-based treatment of depression: a randomized controlled trial comparing guided with unguided self-help. Cogn Behav Ther 2011; 40: 251-266
    CrossrefPubMedGoogle Scholar
  • 22 Burns MN, Begale M, Duffecy J. et al. Harnessing context sensing to develop a mobile intervention for depression. J Med Internet Res DOI: 10.2196/jmir.1838.
    CrossrefPubMedGoogle Scholar
  • 23 Danaher BG, Milgrom J, Seeley JR. et al. MomMoodBooster web-based intervention for postpartum depression: feasibility trial results. J Med Internet Res DOI: 10.2196/jmir.2876.
    CrossrefPubMedGoogle Scholar
  • 24 Dear BF, Zou JB, Ali S. et al. Examining self-guided internet-delivered cognitive behavior therapy for older adults with symptoms of anxiety and depression: Two feasibility open trials. Internet Interv 2015; 2: 17-23
    PubMedGoogle Scholar
  • 25 Choi I, Zou J, Titov N. et al. Culturally attuned Internet treatment for depression amongst Chinese Australians: a randomised controlled trial. J Affect Disord 2012; 136: 459-468
    CrossrefPubMedGoogle Scholar
  • 26 Geraedts AS, Kleiboer AM, Wiezer NM. et al. Feasibility of a worker-directed web-based intervention for employees with depressive symptoms. Internet Interv 2014; 1: 132-140
    PubMedGoogle Scholar
  • 27 Perini S, Titov N, Andrews G. Clinician-assisted Internet-based treatment is effective for depression: randomized controlled trial. Aust N Z J Psychiatry 2009; 43: 571-578
    CrossrefPubMedGoogle Scholar
  • 28 Richards D, Timulak L. Satisfaction with therapist-delivered vs. self-administered online cognitive behavioural treatments for depression symptoms in college students. Br J Guid Counc 2013; 41: 193-207
    CrossrefPubMedGoogle Scholar
  • 29 Zajonc RB. Mere Exposure: A Gateway to the Subliminal. Curr Dir Psychol Sci 2001; 10: 224-228
    CrossrefPubMedGoogle Scholar
  • 30 Hind D, O’Cathain A, Cooper CL. et al. The acceptability of computerised cognitive behavioural therapy for the treatment of depression in people with chronic physical disease: a qualitative study of people with multiple sclerosis. Psychol Health 2010; 25: 699-712
    CrossrefPubMedGoogle Scholar
  • 31 Schneider J, Sarrami Foroushani P, Grime P. et al. Acceptability of online self-help to people with depression: users’ views of MoodGYM versus informational websites. J Med Internet Res 2014; 16: 344-356
    PubMedGoogle Scholar
  • 32 Löbner M, Stein J, Rost T. et al. Innovative E-Health-Ansätze für komorbide Depressionen bei Patienten mit Adipositas: Nutzungsakzeptanz aus Patienten- und Expertenperspektive. Psychiat Prax DOI: 10.1055/s-0043-107471.
    Article in Thieme ConnectPubMedGoogle Scholar
  • 33 Wigand ME. Computer-Based Therapies: A Supplement in Modern Psychotherapy? – Contra. Psychiat Prax 2017; 44: 11-12
    Article in Thieme ConnectPubMedGoogle Scholar
  • 34 Ritterband LM, Gonder-Frederick LA, Cox DJ. et al. Internet interventions: In review, in use, and into the future. Prof Psychol Res Pr 2003; 34: 527-534
    CrossrefPubMedGoogle Scholar
  • 35 Knowles SE, Lovell K, Bower P. et al. Patient experience of computerised therapy for depression in primary care. BMJ Open DOI: 10.1136/bmjopen-2015-008581.
    CrossrefPubMedGoogle Scholar
  • 36 Høifødt RS, Lillevoll KR, Griffiths KM. et al. The clinical effectiveness of web-based cognitive behavioral therapy with face-to-face therapist support for depressed primary care patients: randomized controlled trial. J Med Internet Res DOI: 10.2196/jmir.2714.
    CrossrefPubMedGoogle Scholar
  • 37 Spek V, Cuijpers P, Nyklícek I. et al. Internet-based cognitive behaviour therapy for symptoms of depression and anxiety: a meta-analysis. Psychol Med 2007; 37: 319-328
    CrossrefPubMedGoogle Scholar
  • 38 Lintvedt OK, Griffiths KM, Sørensen K. et al. Evaluating the effectiveness and efficacy of unguided internet-based self-help intervention for the prevention of depression: a randomized controlled trial. Clin Psychol Psychother 2013; 20: 10-27
    CrossrefPubMedGoogle Scholar
  • 39 Kaltenthaler E, Sutcliffe P, Parry G. et al. The acceptability to patients of computerized cognitive behaviour therapy for depression: a systematic review. Psychol Med 2008; 38: 1521-1530
    CrossrefPubMedGoogle Scholar