Depression is a major health challenge, and despite developments in pharmacotherapy and psychotherapy a substantial part of patients will only recover very slowly and incompletely, and 10-25 % of the patients are resistant to treatment. Therefore, new treatment initiatives are in demand. Chronotherapeutics can regulate diurnal rhythms and sleep, and have shown promising results on antidepressant effects. Among chronotherapeutic treatment modalities, Bright Light Therapy (BLT) has been used in treatment of depression and sleep disorders for several decades with both an antidepressant and a sleep improving effect. BLT has also been shown to augment antidepressant therapy. Objectives. The objective of this trial is to investigate the feasibility of a combination of LED-light armatures aiming to mimic sunlight, when installed in the patient rooms of a psychiatric inpatient Ward. Investigators has opted for using a randomized design that will subsequently be tested in a larger clinical trial with depression severity as the primary outcome. In this feasibility study investigators will register the stability of the system, the influence of the light on patients regarding tolerability, comfort, depression level, and sleep. Investigators also so want to measure and collect specific light-data on the Non-image-forming light (NIF) by using specially designed light sensors to capture the spectral distribution of the light. Finally investigators will test the electronic case report form (eCRF) that has been designed for the trial. Design. The design is a randomised controlled feasibility trial with two arms: an active dynamic light trial arm and a standard light trial arm with blinding of depression outcome assessors (Hamilton depression rating scale), data collection, and data analyses. Randomization will be with a rate for active and standard of 2 to 1.
Age range
18 Years
Sex
ALL
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A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
Difference in numbers of drop out in the two groups
Timeframe: Week 4