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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT02389660
Other study ID # W73/7. PR/2014
Secondary ID
Status Completed
Phase N/A
First received
Last updated
Start date June 2015
Est. completion date June 2018

Study information

Verified date June 2018
Source University of Social Sciences and Humanities, Warsaw
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

Effective, accessible, and affordable depression treatment is of high importance considering the large individual and economic burden of depression. There is ample support for the effectiveness of Internet-based Cognitive Behavioral Therapy (CBT) for depression which is considered a promising alternative to routine depression treatment strategies. Most evidence comes from randomized controlled trials, however, and not from research in routine practice.

The European Comparative Effectiveness Research on Internet-based Depression Treatment (E-COMPARED) in Poland aims to compare the clinical and cost-effectiveness of blended CBT for adults with major depressive disorder (MDD) with treatment as usual (TAU). The trial will be conducted in routine mental health care in Poland, and is a part of the bigger project funded by European Commission (Grant Agreement No: 603098). In this randomized controlled trial, a total of 150 patients with MDD will be assigned to one of two conditions: 1) blended CBT, 2) TAU. Respondents in both conditions will be followed until 12 months after baseline (measures will be taken at baseline, 3 months, 6 months and 12 months).


Description:

Introduction

Good mental health is of high value from an individual, economic and social perspective. Depression is a serious threat to such a good mental health and highly prevalent worldwide. On a yearly basis about 7% of the European population (around 30 million people) suffer from a major depression (MDD) (Wittchen et al., 2011). If we take subclinical forms of depression into account the prevalence rises up to 15%.

Depression is not only highly prevalent; it is marked by disabling emotional and physical symptoms. It has a severe negative impact on mental wellbeing, quality of life and social and work-related functioning of those who suffer from it both on the short and longer term. This impact equals at least conditions such as diabetes mellitus, heart disease and arthritis (Sprangers et al., 2000). Depression is associated with increased morbidity, mortality, health care utilization and health care costs. The World Health Organisation has predicted that depression will be the foremost overall cause of disability by 2030 (Mathers, & Loncar, 2006).

Objective

The main objective of the planned research is to compare the clinical and cost-effectiveness of blended Cognitive Behavioural Therapy (CBT) for adults with major depressive disorder (MDD) with treatment as usual (TAU).

Study design

The study is a two-arm randomised controlled non-inferiority and cost-effectiveness trial. The trial will be conducted in routine mental health care in Poland, and is a part of the bigger project funded by European Commission (Grant Agreement No: 603098). A total of 150 patients with MDD will be assigned to one of two conditions: 1) blended CBT, 2) TAU. Respondents in both conditions will be followed until 12 months after baseline (measures will be taken at baseline, 3 months, 6 months and 12 months).

Study population

A total of 150 patients with MDD will be recruited from routine clinical practice in Poland and will receive either depression treatment as usual or blended CBT depression treatment.

Treatment fidelity

To ensure treatment fidelity it is required that: (1) a detailed treatment manual is available to guide therapists through the treatment, (2) regular meetings are organized between the therapists and the research team to prevent drift, (3) therapists will register the number of sessions, the frequency of the sessions, the main strategies used in each session and the duration of each contact.

Randomization

Randomization will be conducted by an independent researcher who is not involved in the trial. Randomisation will take place at an individual level, stratified by country, after the eligibility and baseline assessment. The independent researcher will create the allocation scheme with a computerised random number generator (Random Allocation Software). The allocation ratio will be 1:1. We will use block randomization with variable block sizes that vary between 8 and 14 allocations per block. Subjects will be randomized into two groups: Internet based blended depression treatment or treatment as usual. All investigators and clinicians will be unknown to the randomization scheme.

Sample size calculation

Sample size calculation is based on the non-inferiority design and calculated for the primary clinical outcome symptoms of depression. 150 patients in Poland will enable us to detect a clinically significant effect size of d=0.24 (Cuijpers et al., 2014).

Statistical Analysis

Multiple imputation will be used to impute missing cost and effect data. Intention-to-treat analyses (ITT) increase the risk of type I errors in non-inferiority (NI) trials and non-intention-to treat analyses are preferred over ITT analyses in NI designs. Therefore, the primary statistical analyses will be per protocol analyses meaning that only those patients that have completed the treatment will be included in the analyses. ITT analyses will be used in sensitivity analyses to increase confidence in the results obtained by including all participants in the analyses independent of whether they have completed the treatment or not. Blended depression treatment is considered no less effective than care-as-usual when the two-sided 95% confidence interval (the range of plausible differences between the two treatments) lies entirely above the standard mean difference of 0.20 which is the non-inferiority margin and the smallest clinically acceptable difference.


Recruitment information / eligibility

Status Completed
Enrollment 84
Est. completion date June 2018
Est. primary completion date June 2018
Accepts healthy volunteers No
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria:

- Meet DSM-IV diagnostic criteria for MDD as confirmed by the telephone administered MINI International Neuropsychiatric Interview version 5.0 and a score a score of 5 or higher on the PHQ-9 screening questionnaire.

Exclusion Criteria:

- Current high risk for suicide according to the MINI Interview section C

- Serious psychiatric co-morbidity: substance dependence, bipolar affective disorder, psychotic illness, obsessive compulsive disorder, as established at the MINI interview

- Currently receiving psychological treatment for depression in primary or specialised mental health care

- Being unable to comprehend the spoken and written Polish

- Not having access to a PC and fast Internet connection (i.e. broadband or comparable).

- Not having a Smart phone that is compatible with the mobile component of the intervention that is offered or not willing to carry a Smartphone if one is provided with one by the research team for the study duration.

Study Design


Related Conditions & MeSH terms


Intervention

Behavioral:
Blended Cognitive Behavioural Therapy (CBT)

Treatment as usual


Locations

Country Name City State
Poland University of Social Sciences and Humanities Warsaw

Sponsors (15)

Lead Sponsor Collaborator
University of Social Sciences and Humanities, Warsaw European Commission, Inesc Porto, Institut National de la Santé Et de la Recherche Médicale, France, Leuphana Universität Lünenberg, Linkoeping University, London School of Hygiene and Tropical Medicine, Ministry of Science and Higher Education, Poland, Stichting GGZ inGeest, Universitat Jaume I, University of Bern, University of Erlangen-Nürnberg, University of Limerick, University of Valencia, VU University of Amsterdam

Country where clinical trial is conducted

Poland, 

References & Publications (14)

Brooke J. SUS-a quick and dirty usability scale. In Usability Eval Ind. Volume 189. Edited by Jordan PW, Thomas B, Weerdmeester BA, McClelland IL. London: Taylor & Francis Ltd; 1996:189-194.

Cuijpers P, Turner EH, Koole SL, van Dijke A, Smit F. What is the threshold for a clinically relevant effect? The case of major depressive disorders. Depress Anxiety. 2014 May;31(5):374-8. doi: 10.1002/da.22249. Epub 2014 Feb 22. — View Citation

Devilly GJ, Borkovec TD. Psychometric properties of the credibility/expectancy questionnaire. J Behav Ther Exp Psychiatry. 2000 Jun;31(2):73-86. — View Citation

Hakkaart-van Rooijen L, van Straten A, Donker M, Tiemans B. Manual Trimbos/iMTA questionnaire for costs associated with psychiatric illness (TIC-P). Rotterdam: Institute for Medical Technology Assessment. 2002

Hatcher R, Gillaspy J. Development and validation of a revised short version of the working alliance inventory. Psychotherapy Research 16(1): 12-25, 2006.

Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001 Sep;16(9):606-13. — View Citation

Lecrubier Y, Sheehan DV, Weiller E, Amorim P, Bonora I, Harnett Sheehan K, Dunbar GC. The Mini International Neuropsychiatric Interview (MINI). A short diagnostic structured interview: reliability and validity according to the CIDI. European Psychiatry, 12(5): 224-231, 1997.

Mathers CD, Loncar D. Projections of global mortality and burden of disease from 2002 to 2030. PLoS Med. 2006 Nov;3(11):e442. — View Citation

Nguyen TD, Attkisson CC, Stegner BL. Assessment of patient satisfaction: development and refinement of a service evaluation questionnaire. Eval Program Plann. 1983;6(3-4):299-313. — View Citation

Rush AJ, Trivedi MH, Ibrahim HM, Carmody TJ, Arnow B, Klein DN, Markowitz JC, Ninan PT, Kornstein S, Manber R, Thase ME, Kocsis JH, Keller MB. The 16-Item Quick Inventory of Depressive Symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): a psychometric evaluation in patients with chronic major depression. Biol Psychiatry. 2003 Sep 1;54(5):573-83. Erratum in: Biol Psychiatry. 2003 Sep 1;54(5):585. — View Citation

Sheehan DV, Lecrubier Y, Sheehan KH, Amorim P, Janavs J, Weiller E, Hergueta T, Baker R, Dunbar GC. The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J Clin Psychiatry. 1998;59 Suppl 20:22-33;quiz 34-57. Review. — View Citation

Sprangers MA, de Regt EB, Andries F, van Agt HM, Bijl RV, de Boer JB, Foets M, Hoeymans N, Jacobs AE, Kempen GI, Miedema HS, Tijhuis MA, de Haes HC. Which chronic conditions are associated with better or poorer quality of life? J Clin Epidemiol. 2000 Sep;53(9):895-907. — View Citation

van Agt HM, Essink-Bot ML, Krabbe PF, Bonsel GJ. Test-retest reliability of health state valuations collected with the EuroQol questionnaire. Soc Sci Med. 1994 Dec;39(11):1537-44. — View Citation

Wittchen HU, Jacobi F, Rehm J, Gustavsson A, Svensson M, Jönsson B, Olesen J, Allgulander C, Alonso J, Faravelli C, Fratiglioni L, Jennum P, Lieb R, Maercker A, van Os J, Preisig M, Salvador-Carulla L, Simon R, Steinhausen HC. The size and burden of mental disorders and other disorders of the brain in Europe 2010. Eur Neuropsychopharmacol. 2011 Sep;21(9):655-79. doi: 10.1016/j.euroneuro.2011.07.018. Review. — View Citation

* Note: There are 14 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary Change from Baseline Depression at 12 months Symptoms of depression will be assessed with the 9-item self-report The Patient Health Questionnaire (PHQ) (Kroenke et. al., 2001). Baseline, 12 months
Secondary Change from Baseline Symptoms of Depression at 12 months Symptoms of depression will be assessed with the 16-Item Quick Inventory of Depressive Symptomatology (QIDS) (Rush et al., 2003). Baseline, 12 months
Secondary Change from Baseline Diagnosis of Depression at 12 months A diagnosis of depression will be assessed with the MINI International Neuropsychiatric Interview (M.I.N.I) version 5.0. The M.I.N.I. is a structured diagnostic interview based on the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) and on International Classification of Diseases (ICD-10) criteria. The interview compares well with Structural Clinical Interview for DSM-IV disorders (SCID) (Sheehan et al., 1998) and the Composite International Diagnostic Interview (CIDI) (Lecrubier et al., 1997; Sheehan et al., 1998). Baseline, 12 months
Secondary Change from Baseline Health Service Uptake and Production Loss Due to Illness at 12 months Health service uptake and production loss due to illness will be measured with the Trimbos and iMTA Questionnaires on Costs Associated with Psychiatric Illness (TiC-P; Hakkaart-van Rooijen, van Straten, Donker, Tiemens, 2002). Baseline, 12 months
Secondary Therapeutic Alliance The therapeutic alliance between therapists and patient will be assessed with the short version of the Working Alliance Inventory (WAI-SF; Hatcher & Gillaspy, 2006). 3 months
Secondary Patient's Satisfaction with the Treatment Patient's satisfaction with the treatment was assessed with Client Satisfaction Questionnaire (CSQ-8; Nguyen, Attkinson, & Stegner, 1983). 3 months
Secondary Satisfaction with the Platform Satisfaction with the platform will be evaluated with the System usability scale (SUS; Brooke, 1996). 3 months
Secondary Alliance between the Patient and Technologies We will assess the alliance between the patient and technologies with an adapted version of the WAI-SF, the Technology Alliance Inventory (TAI-SF). 3 months
Secondary Patients' Expectancy of Treatment Patients' expectancy of treatment will be assessed with the credibility and expectancy questionnaire of Devilly and Borkovec (2000). Baseline
Secondary Change from Quality of Life at 12 months Quality of life will be assessed with the EQ-5D-5L (EuroQol; Van Agt, Essink-Bot, Krabbe, & Bonsel, 1994). Baseline, 12 months
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