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Implementation of eMental health technologies for informal caregivers: A multiple case study. | LitMetric

Implementation of eMental health technologies for informal caregivers: A multiple case study.

Front Digit Health

Department of Psychology, Health and Technology, Centre for eHealth and Wellbeing Research, University of Twente, Enschede, Netherlands.

Published: March 2023

AI Article Synopsis

  • - Informal caregivers provide crucial, unpaid support to those unable to live independently, but this responsibility can negatively impact their mental health.
  • - The study explores eMental health technologies aimed at supporting these caregivers in Europe, looking at implementation challenges and gathering insights from experts through interviews.
  • - Key findings reveal differences in efficacy testing between academic and industry-developed technologies, common barriers like financing, and potential solutions such as creating a solid business model and planning for long-term maintenance.

Article Abstract

Introduction: Informal caregivers offer continuous unpaid support to loved ones who are unable to live independently. Providing care can be a very burdensome commitment, that heavily impacts informal caregivers' mental health. eMental health is a possible, yet challenging, solution to improve caregivers' mental health and their overall experience of caregiving. In fact, eMental health technologies often face challenges of implementation. The present work gathers knowledge on how to best deal with these challenges by collecting testimonies of implementation experts of eight eMental health technologies for informal caregivers with the aim of comparing them and extracting lessons learned.

Methods: For this multiple case study, technologies were selected (through informal suggestions and independent search) according to the following inclusion criteria: they were intended for informal caregivers as main user group, were aimed at improving informal caregivers' mental wellbeing and caregiving experience and were available and running in real life settings in Europe. Ten interviews were conducted (two pilots and eight included cases). The interviewees were asked to provide a description of the technology and its aims and their implementation approach, method and frameworks used. Finally, determinants of implementation, the influence of the Covid-19 pandemic on implementation processes and lessons learned were investigated.

Results: The results highlight key differences between technologies developed within academia and the industry regarding efficacy testing and use and use and choice of frameworks. Also, similarities in terms of recognized barriers such as financing are illustrated.

Discussion: Possible ways to overcome main barriers and examples of best practices, such as structuring a business model and discussing tool maintenance and long-term hosting in advance, are discussed.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10081674PMC
http://dx.doi.org/10.3389/fdgth.2023.1130866DOI Listing

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