TY - JOUR
T1 - Stakeholder perspectives on evidence for digital mental health interventions
T2 - Implications for accreditation systems
AU - Batterham, Philip J.
AU - Calear, Alison L.
AU - O’Dea, Bridianne
AU - Larsen, Mark E.
AU - J Kavanagh, David
AU - Titov, Nickolai
AU - March, Sonja
AU - Hickie, Ian
AU - Teesson, Maree
AU - Dear, Blake F.
AU - Reynolds, Julia
AU - Lowinger, Jocelyn
AU - Thornton, Louise
AU - Gorman, Patrick
N1 - Publisher Copyright:
© The Author(s) 2019.
PY - 2019
Y1 - 2019
N2 - Background: Digital mental health interventions can be effective for treating mental health problems, but uptake by consumers and clinicians is not optimal. The lack of an accreditation pathway for digital mental health interventions is a barrier to their uptake among clinicians and consumers. However, there are a number of factors that may contribute to whether a digital intervention is suitable for recommendation to the public. The aim of this study was to identify the types of evidence that would support the accreditation of digital interventions. Method: An expert workshop was convened, including researcher, clinician, consumer (people with lived experience of a mental health condition) and policymaker representatives. Results: Existing methods for assessing the evidence for digital mental health interventions were discussed by the stakeholders present at the workshop. Empirical evidence from randomised controlled trials was identified as a key component for evaluating digital interventions. However, information on the safety of users, data security, user ratings, and fidelity to clinical guidelines, along with data from routine care including adherence, engagement and clinical outcomes, were also identified as important considerations when evaluating an intervention. There are considerable challenges in weighing the evidence for a digital mental health intervention. Conclusions: Empirical evidence should be the cornerstone of any accreditation system to identify appropriate digital mental health interventions. However, robust accreditation systems should also account for program and user safety, user engagement and experience, and fidelity to clinical treatment guidelines.
AB - Background: Digital mental health interventions can be effective for treating mental health problems, but uptake by consumers and clinicians is not optimal. The lack of an accreditation pathway for digital mental health interventions is a barrier to their uptake among clinicians and consumers. However, there are a number of factors that may contribute to whether a digital intervention is suitable for recommendation to the public. The aim of this study was to identify the types of evidence that would support the accreditation of digital interventions. Method: An expert workshop was convened, including researcher, clinician, consumer (people with lived experience of a mental health condition) and policymaker representatives. Results: Existing methods for assessing the evidence for digital mental health interventions were discussed by the stakeholders present at the workshop. Empirical evidence from randomised controlled trials was identified as a key component for evaluating digital interventions. However, information on the safety of users, data security, user ratings, and fidelity to clinical guidelines, along with data from routine care including adherence, engagement and clinical outcomes, were also identified as important considerations when evaluating an intervention. There are considerable challenges in weighing the evidence for a digital mental health intervention. Conclusions: Empirical evidence should be the cornerstone of any accreditation system to identify appropriate digital mental health interventions. However, robust accreditation systems should also account for program and user safety, user engagement and experience, and fidelity to clinical treatment guidelines.
KW - Internet interventions
KW - accreditation
KW - apps
KW - dissemination
UR - http://www.scopus.com/inward/record.url?scp=85073251343&partnerID=8YFLogxK
U2 - 10.1177/2055207619878069
DO - 10.1177/2055207619878069
M3 - Article
SN - 2055-2076
VL - 5
JO - Digital Health
JF - Digital Health
ER -