Development of eConsult reflective learning tools for healthcare providers: a pragmatic mixed methods approach

Successful Electronic Consultation Service Initiative in Quebec, Canada With Primary Care Physicians' and Specialists' Experiences on Acceptance and Use of Technological Innovation: Cross-Sectional Exploratory Study

BACKGROUND

Electronic consultation (eConsult) is an eHealth service that allows primary care providers (PCPs) to electronically consult specialists regarding their patients' medical issues. Many studies have demonstrated that eConsult services improve timely access to specialist care; prevent unnecessary referrals; improve PCPs', specialists', and patients' satisfaction; and therefore have a large impact on costs. However, no studies have evaluated PCPs' and specialists' acceptance of eConsult services in Quebec, Canada, and worldwide.

OBJECTIVE

This exploratory study aims to identify factors affecting eConsult service acceptance by PCPs and specialists in urban and rural primary care clinics across 3 regions in the province of Quebec, Canada, by integrating the Unified Theory of Acceptance and Use of Technology and Task-Technology Fit (TTF) models and user satisfaction. This research was designed to broaden and assist in scaling up this effective eHealth service innovation across the province.

METHODS

A cross-sectional web-based survey was sent to all PCPs (n=263) and specialists (n=62) who used the eConsult Quebec Service between July 2017 and May 2021. We proposed a unified model integrating the Unified Theory of Acceptance and Use of Technology model and TTF model and user satisfaction by endorsing 11 hypotheses. The partial least squares was used to investigate factors influencing the acceptance of the eConsult Quebec Service.

RESULTS

Of the 325 end users, 136 (41.8%) users responded (PCPs: 101/263, 38.4%; specialists: 35/62, 57%). The results of the analysis with partial least squares method indicate that 9 of our 11 hypotheses are supported. The direct relationships uniting the various constructs of the model highlighted the importance of several key constructs and predominant correlations. The results suggest that satisfaction is the key driver behind the use of the eConsult Quebec Service. Performance expectancy (P<.001) and effort expectancy (P=.03) can have a positive impact on behavioral intention (BI), and BI (P<.001) can impact adoption. TTF has an influence on performance expectancy (P<.001), adoption (P=.02), and satisfaction (P<.001). However, the results show that there is no direct effect between social influence (P=.38) and BI or between facilitating conditions (P=.17) and adoption.

CONCLUSIONS

This study provides a better understanding of the factors influencing PCPs' and specialists' intention to adopt the eConsult Quebec Service. Furthermore, this study tests a research model and a technology that have never been explored in Quebec until now. On the basis of the results, the service is a good fit to meet the users' need to improve access to specialized medical advice. Therefore, the results of our study have made a valuable contribution to the implementation of the service by policy makers in order to maximize acceptance, use, adoption, and success across the province of Quebec. Moreover, after 4 successful years, the eConsult Quebec pilot project is now the Conseil Numérique digital consultation service.

Mapping Health Professions Education: Using Complexity Science to Make Sense of Learning Through Electronic Consultations

Phenomena studied within health professions education are often complex and multifaceted. This article describes a complexity science-informed theoretical framework that was developed for exploring how electronic consultations support learning among primary care providers, as well as within the larger organizations or systems in which they practice. This framework enables researchers to investigate learning occurring simultaneously at multiple levels (including individuals and social groups), without simplistically conflating levels or theories. The various levels of learning and associated theories are illustrated using examples from electronic consultations. This complexity science-inspired framework can be used for studying learning in complex, multilayered systems.

Impact of eConsults on Clinical Care in Primary Care: A Cross-Sectional Analysis of Primary Care Provider Behavior

INTRODUCTION/OBJECTIVES

Asynchronous electronic consultations (eConsults) support primary care providers (PCPs) by providing rapid specialist feedback and improve medically underserved patients' access to care.

METHODS

This cross-sectional study assessed all eConsults requested over a one-year period at a multi-site federally qualified health center in Texas. We analyzed eConsult content and quality and conducted chart reviews for a randomly selected subsample (n = 100) to determine whether PCPs implemented specialists' recommendations within 90 days. Semi-structured interviews with PCPs assessed their ability and willingness to follow recommendations.

RESULTS

There were 367 eConsults submitted by 25 PCPs across 15 adult medical and surgical specialties. Of the 100 charts reviewed n = 77 (77.0%) contained documentation indicating that the PCP had followed at least 1 of the specialist's recommendations within 90 days. In two-thirds of the cases (n = 66, 66%) the reviewing specialist indicated that a face-to-face referral was not needed. PCPs were most likely to follow recommendations for new medications and least likely to document that they had obtained additional patient history. PCPs noted that they were sometimes unable to follow recommendations when patients could not afford or access treatment or did not return for follow up care, or when they felt that the specialist did not address their specific question.

CONCLUSIONS

eConsults delivered to medically underserved patients in primary care help PCPs provide timely care for their patients. PCPs utilized a broad range of eConsult specialties and generally implemented eConsult specialists' recommendations within 90 days.