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Work packages

Work package 1 – Effectiveness

There is a need to increase access to digital psychological interventions and the knowledge about effectiveness in
regular mental health care.

WP 1 will conduct three innovative and beyond state-of-the-art clinical trials on the effectiveness:

  • Digital psychological intervention for adolescents with anxiety in primary care providing the first-time documentation of a new software platform.
  • Digital psychological intervention for adults with severe musculoskeletal disease providing
    the first-time documentation of a new software platform.
  • Digital psychological intervention for adults recovering from cancer providing the first-time
    documentation of a new software platform

WP manager: Tine Nordgreen, Helse Bergen

Sissel Børve

Sissel Børve

  • Helse i Hardanger AS
Tine Nordgreen

Tine Nordgreen

  • Helse Bergen - Universitetet i Bergen
Nina Bolstad

Nina Bolstad

  • Bergen kommune
Smiti Kahlon

Smiti Kahlon

  • Haukeland Universitetssykehus
Jonny Klemetsen

Jonny Klemetsen

  • Youwell AS
Sunniva Brurok Myklebost

Sunniva Brurok Myklebost

  • Universitetet i Bergen
Janiche Buanes Heltne

Janiche Buanes Heltne

  • Helse i Hardanger AS

Work package 2 – Cost-effectiveness

WP 2 will conduct three innovative and beyond state-of-the-art research studies on the cost-effectiveness and budget impact,
and the sustainability of service models, based on clinical real-world effectiveness studies. 2.1: Cost-effectiveness
study of an evidence-based digital psychological intervention preventing postpartum depression and enhancing
quality of life (Mamma Mia). 2.2: Cost-effectiveness evaluation of eMeistring at three sites in Norway. Data will be
collected as a part of routine care and benchmarked across different service models from the three sites. 2.3:
Implementation: Analyse alternative service models, service model characteristics, barriers and facilitators related to
implementation.

WP manager: Vidar Halsteinli, St. Olavs Hospital

Gunn Elise Sætre

Gunn Elise Sætre

  • eMeistring
Kjersti Skare

Kjersti Skare

  • Haukeland universitetssykehus
Filip Drozd

Filip Drozd

  • Regionsenter for barn og unges psykiske helse, Helseregion Øst og Sør
Silje Marie Haga

Silje Marie Haga

  • Regionsenter for barn og unges psykiske helse, Helseregion Øst og Sør
Elin Ulleberg

Elin Ulleberg

  • St Olavs Hospital
Tori Almaas

Tori Almaas

  • CheckWare AS
Kristian Kidholm

Kristian Kidholm

  • Odense University Hospital, Denmark
Jørn Heggelund

Jørn Heggelund

  • St. Olavs hospital HF
Elin Katrine Vestly

Elin Katrine Vestly

  • Sykehuset i Vestfold HF
Kjell Ø. Petersen

Kjell Ø. Petersen

  • Changetech AS
Vidar Halsteinli

Vidar Halsteinli

  • St. Olavs hospital HF

Work package 3 – Early HTA

Early HTA has the potential to address factors that can reduce risk and control costs in the early stage of innovation, highlighting
future gains, and thus enhance the implementation of suitable interventions that target the needs. A further challenge stressed
in the literature is the scarce evidence available in an early innovation stage, and there is a need for integration of the end-user
perspective or preferences in early assessment. Business development and scaling always takes place in a specific context of
other activities, resources, interests and policies. Hence, for a new intervention to be implemented, distributed and scaled, it is
required that it fits into the already existing services, and that the services are being adjusted to help the innovation to become
integrated. The many co-dependencies need to be understood and managed in order for something to actually make its way to
widespread use.

  • Strategic analysis, in-depth case studies of selected new remote care health services, in order to gain a deeper understanding of the particular co-dependencies and challenges of the private and public healthcare systems.
  • Further development of an early HTA tool based on early stage health economic modelling and stakeholder preferences to identify of unmet needs in early innovation stages.
  • Study the development and implementation of IT infrastructure needed to integrate the new services into existing services.

These tasks are important for future innovation and value creation because early decision support tools can optimize cost of care and
implementation, and achieve better patient related outcomes. Knowledge that contributes to how the healthcare sector
innovates, in cooperation with the private sector, will be of great benefit to society, both in Norway and internationally. The
work in this WP Centre for Mobile Mental Health 13/20 will increase the likelihood of successful innovation use, by improving
innovation management in health care settings, improving early decision support, and improving the governance of
procurement projects aimed at innovation.

WP manager: Per Ingvar Olsen, BI

Tine Nordgreen
  • Helse Bergen - Universitetet i Bergen
Per Ingvar Olsen
  • Handelshøyskolen BI
Silje Marie Haga
  • Regionsenter for barn og unges psykiske helse, Helseregion Øst og Sør
Linn Nathalie Støme
  • Oslo universitetssykehus
Monika Knudsen Gullslett
  • Nasjonalt senter for e-helseforskning

Work package 4 – Implementation

Conduct a multicentre innovative and beyond state-of-the-art research trial on the effectiveness of a tailored implementation
strategy toolkit adapted to the Norwegian context and CMMH’s objectives. 4.1. Conduct a multicenter trial including five sites:
a) three secondary care clinics in three health regions providing the eMeistring treatment for anxiety and depression; b) one
primary care clinic with low-threshold treatment for adolescents with anxiety; c) clinic providing education and long-term
follow-up for adults with Irritable Bowel Syndrome. The multicenter trial includes adoption of the ItFits-toolkit, collect baseline
data, introduce the Itfits-toolkit and a continuous assessment of the uptake of digital psychological interventions (main
outcome) and normalization of service provision in staff members. 4.2. Understand the mechanisms that shape implementation
across settings.

WP manager: Robin Kenter, Helse Bergen

Nina Bolstad
  • Bergen kommune
Robin Maria Francisca Kenter
  • Universitetet i Bergen - Haukeland universitetssykehus
Monika Knudsen Gullslett
  • Nasjonalt senter for e-helseforskning
Kristin Hogstad Bruvik
  • Haukeland universitetssykehus
Tori Almaas
  • CheckWare AS
Elin Katrine Vestly
  • Sykehuset i Vestfold HF
Birgitte Berentsen
  • Haukeland universitetssykehus