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Accepted for/Published in: JMIR Mental Health

Date Submitted: Aug 19, 2020
Open Peer Review Period: Aug 18, 2020 - Oct 13, 2020
Date Accepted: Sep 11, 2020
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Intent to Adopt Video-Based Integrated Mental Health Care and the Characteristics of its Supporters: Mixed Methods Study Among General Practitioners Applying Diffusion of Innovations Theory

Haun MW, Stephan I, Wensing M, Hartmann M, Hoffmann M, Friederich HC

Intent to Adopt Video-Based Integrated Mental Health Care and the Characteristics of its Supporters: Mixed Methods Study Among General Practitioners Applying Diffusion of Innovations Theory

JMIR Ment Health 2020;7(10):e23660

DOI: 10.2196/23660

PMID: 33055058

PMCID: 7654505

Intent-to-adopt video-based integrated mental healthcare and characteristics of its supporters: A mixed-methods study among general practitioners applying Diffusion of Innovations Theory

  • Markus W. Haun; 
  • Isabella Stephan; 
  • Michel Wensing; 
  • Mechthild Hartmann; 
  • Mariell Hoffmann; 
  • Hans-Christoph Friederich

ABSTRACT

Background:

Most people with common mental disorders, including many of those with severe mental illness, are treated in general practice. Video-based integrated care models featuring mental health specialist video consultations (MHSVC) facilitate the involvement of specialized mental healthcare. However, the potential uptake by general practitioners (GPs) is unclear.

Objective:

This mixed-method pre-implementation study aimed to (a) assess GPs’ intent-to-adopt MHSVC in their practice and (b) identify predictors for early intent-to-adopt (quantitative strand) and (c) characterise GPs with early intent-to-adopt based on the Diffusion of Innovations Theory (DOI) (qualitative strand).

Methods:

Applying a convergent parallel design, we combined a survey in 177 GPs followed up with focus groups and individual interviews in a sample of five early adopters and one non-adopter. We identified predictors for intent-to-adopt though a cumulative logit model for ordinal multicategory responses with proportional odds structure to the data. Two coders independently analysed the qualitative data deriving common characteristics across the five early adopters. We interpreted the qualitative findings accounting for the generalised adopter categories of the DOI.

Results:

This study found that (1) about one in two GPs assumed that patients benefit from a MHSVC service model, (2) about one in three GPs intended to adopt such a model, (3) the availability of a designated room was the only significant predictor for intent-to-adopt in GPs, and (4) supporting GPs expected to save time and took a solution-focused perspective on the practical implementation of MHSVC. Finally, (5) characteristics of supporting and non-supporting GPs in the context of MHSVC corresponded well with the generalized adopter categories conceptualized in the DOI.

Conclusions:

There is a significant proportion of GPs who may function as early adopters and key stakeholders to facilitate the spread of MHSVC. Future work should focus on measures to foster the intention to adopt among hesitant GPs. Clinical Trial: German Clinical Trials Register DRKS00012487; https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00012487.


 Citation

Please cite as:

Haun MW, Stephan I, Wensing M, Hartmann M, Hoffmann M, Friederich HC

Intent to Adopt Video-Based Integrated Mental Health Care and the Characteristics of its Supporters: Mixed Methods Study Among General Practitioners Applying Diffusion of Innovations Theory

JMIR Ment Health 2020;7(10):e23660

DOI: 10.2196/23660

PMID: 33055058

PMCID: 7654505

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