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General practitioner preferences for telehealth consultations in Australia: a pilot survey and discrete choice experiment

Published online by Cambridge University Press:  09 May 2024

Keshia R. De Guzman*
Affiliation:
Centre for Online Health, The University of Queensland, Brisbane, Australia Centre for Health Services Research, The University of Queensland, Brisbane, Australia School of Pharmacy, The University of Queensland, Brisbane, Australia
Anthony C. Smith
Affiliation:
Centre for Online Health, The University of Queensland, Brisbane, Australia Centre for Health Services Research, The University of Queensland, Brisbane, Australia Centre for Innovative Medical Technology, University of Southern Denmark, Odense, Denmark
Centaine L. Snoswell
Affiliation:
Centre for Online Health, The University of Queensland, Brisbane, Australia Centre for Health Services Research, The University of Queensland, Brisbane, Australia
*
Corresponding author: Keshia R. De Guzman; Email: uqkdeguz@uq.edu.au
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Abstract

Aim:

To identify and quantify general practitioner (GP) preferences related to service attributes of clinical consultations, including telehealth consultations, in Australia.

Background:

GPs have been increasingly using telehealth to deliver patient care since the onset of the 2019 coronavirus disease (COVID-19) pandemic. GP preferences for telehealth service models will play an important role in the uptake and sustainability of telehealth services post-pandemic.

Methods:

An online survey was used to ask GPs general telehealth questions and have them complete a discrete choice experiment (DCE). The DCE elicited GP preferences for various service attributes of telehealth (telephone and videoconference) consultations. The DCE investigated five service attributes, including consultation mode, consultation purpose, consultation length, quality of care and rapport, and patient co-payment. Participants were presented with eight choice sets, each containing three options to choose from. Descriptive statistics was used, and mixed logit models were used to estimate and analyse the DCE data.

Findings:

A total of 60 GPs fully completed the survey. Previous telehealth experiences impacted direct preferences towards telehealth consultations across clinical presentations, although in-person modes were generally favoured (in approximately 70% of all scenarios). The DCE results lacked statistical significance which demonstrated undiscernible differences between GP preferences for some service attributes. However, it was found that GPs prefer to provide a consultation with good quality care and rapport (P < 002). GPs would also prefer to provide care to their patients rather than decline a consultation due to consultation mode, length or purpose (P < 0.0001). Based on the findings, GPs value the ability to provide high-quality care and develop rapport during a clinical consultation. This highlights the importance of recognising value-based care for future policy reforms, to ensure continued adoption and sustainability of GP telehealth services in Australia.

Information

Type
Research
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press
Figure 0

Figure 1. Choice set one indicating an example of the discrete choice experiment question

Figure 1

Table 1. Sociodemographic characteristics of GP participants (n = 60)

Figure 2

Figure 2. Resources required for videoconference consultations compared to in-person consultations for GPs with videoconference experience (n = 27)

Figure 3

Figure 3. Resources required for telephone consultations compared to in-person consultations (n = 60, all respondents)

Figure 4

Figure 4. Preferred modality across various patient presentations for general practitioners with telephone experience only (n = 33)

Figure 5

Figure 5. Preferred modality across various patient presentations for general practitioners with telephone and videoconference experience (n = 27)

Figure 6

Table 2. Mix logistical regression model outputs from the discrete choice experiment

Figure 7

Figure 6. Preference coefficients for the mixed logit model. *Reference levels: in-person (consultation mode), initial new (consultation purpose), shorter (consultation n length), good consult (consultation quality)

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