Who is this module for?
This module is suitable for adults experiencing prolonged and significant levels of stress related to work. The goal of the module is for the patient to be able to spot the signs of work stress and to learn how to manage their stress levels. The patient also learns how to create habits that prevent work stress from coming back into their lives.
What is the module about?
The module ‘Work Stress’ consists of 6 sessions and 2 (optional) diaries, in which relevant topics are discussed. For instance: the sources of stress, the different elements that perpetuate or prevent work stress as well as the skills that can be learned to best manage it. In each session the patient receives information, reads about the experiences of example patients and practices with one or more exercises.
The exercises focus on understanding what triggers work stress, what can help to overcome it and how to use this knowledge to prevent work stress from re-occurring in the future. After completing the module the patient shall have developed knowledge and skills helpful in keeping work stress at bay.
The sessions can be used in a sequence as well as independently depending on the different topics a therapist hopes to explore with their patients. This allows you to deliver a more personalised and seamless treatment programme to your patient.
What are the sessions within the module?
- What’s been going on?
- Why all this stress?
- Staying on top
- Speak up
- Building your resilience
How has this module been developed?
The module has been developed in close co-operation with an expert panel of therapists and patients. The Minddistrict team familiarises itself with cutting-edge research and the most recent evidence-based practices. Relevant literature is taken into account during the development. If you would like to know more about this module, please contact the clinical lead responsible for e-health within your organisation or practice.
There is a version of this module available especially for IAPT-services. In this version the Minimum Data Set is interwoven throughout the module.