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The Ontario Electronic Consultation (eConsult) Service: Cross-sectional Analysis of Utilization Data for 2 Models

BACKGROUND: The Ontario electronic consultation (eConsult) service allows a primary care provider (PCP) to access specialist advice through 2 models: the direct-to-specialist (DTS) model, where PCPs select a specialist from a directory, and the Building Access to Specialists Through eConsultation (B...

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Autores principales: Guglani, Sheena, Liddy, Clare, Afkham, Amir, Mitchell, Rhea, Keely, Erin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9077515/
https://www.ncbi.nlm.nih.gov/pubmed/35451985
http://dx.doi.org/10.2196/32101
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author Guglani, Sheena
Liddy, Clare
Afkham, Amir
Mitchell, Rhea
Keely, Erin
author_facet Guglani, Sheena
Liddy, Clare
Afkham, Amir
Mitchell, Rhea
Keely, Erin
author_sort Guglani, Sheena
collection PubMed
description BACKGROUND: The Ontario electronic consultation (eConsult) service allows a primary care provider (PCP) to access specialist advice through 2 models: the direct-to-specialist (DTS) model, where PCPs select a specialist from a directory, and the Building Access to Specialists Through eConsultation (BASE)–managed specialty service, where PCPs choose a specialty group and are assigned a specialist from a qualified pool based on availability. OBJECTIVE: The aim of this study is to examine patterns of use between the 2 models of eConsult delivery. METHODS: We conducted a cross-sectional analysis of utilization data collected from eConsults completed between October 2018 and September 2019. Cases were grouped based on the model used for submission (ie, BASE or DTS). Each model was assessed for the number of cases over time, specialty distribution, proportion resulting in new or additional information, impact on PCPs’ decisions to refer, and billing time. RESULTS: PCPs submitted 26,121 eConsults during the study period. The monthly case volume increased by 43% over the duration of the study, primarily in the BASE model (66% compared to 6% for DTS). PCPs were able to confirm a course of action that they originally had in mind in 41.4% (6373/15,376) of BASE cases and 41.3% (3363/8136) of DTS cases and received advice for a new or additional course of action in 54.7% (8418/15,376) of BASE cases and 56.3% (4582/8136) of DTS cases. A referral was originally contemplated but avoided in 51.3% (7887/15,376) of BASE cases and 53.3% (4336/8136) of DTS cases, originally contemplated and still needed in 19.4% (2986/15,376) of BASE cases and 17.7% (1438/8136) of DTS cases, and neither originally contemplated nor needed in 21.7% (3334/15,376) of BASE cases and 21.9% (1781/8136) of DTS cases. CONCLUSIONS: Both eConsult models had strong uptake. Use patterns varied between models, with the majority of growth occurring under BASE, but survey responses showed that both models provided similar outcomes in terms of new information offered and impact on decision to refer.
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spelling pubmed-90775152022-05-08 The Ontario Electronic Consultation (eConsult) Service: Cross-sectional Analysis of Utilization Data for 2 Models Guglani, Sheena Liddy, Clare Afkham, Amir Mitchell, Rhea Keely, Erin JMIR Form Res Original Paper BACKGROUND: The Ontario electronic consultation (eConsult) service allows a primary care provider (PCP) to access specialist advice through 2 models: the direct-to-specialist (DTS) model, where PCPs select a specialist from a directory, and the Building Access to Specialists Through eConsultation (BASE)–managed specialty service, where PCPs choose a specialty group and are assigned a specialist from a qualified pool based on availability. OBJECTIVE: The aim of this study is to examine patterns of use between the 2 models of eConsult delivery. METHODS: We conducted a cross-sectional analysis of utilization data collected from eConsults completed between October 2018 and September 2019. Cases were grouped based on the model used for submission (ie, BASE or DTS). Each model was assessed for the number of cases over time, specialty distribution, proportion resulting in new or additional information, impact on PCPs’ decisions to refer, and billing time. RESULTS: PCPs submitted 26,121 eConsults during the study period. The monthly case volume increased by 43% over the duration of the study, primarily in the BASE model (66% compared to 6% for DTS). PCPs were able to confirm a course of action that they originally had in mind in 41.4% (6373/15,376) of BASE cases and 41.3% (3363/8136) of DTS cases and received advice for a new or additional course of action in 54.7% (8418/15,376) of BASE cases and 56.3% (4582/8136) of DTS cases. A referral was originally contemplated but avoided in 51.3% (7887/15,376) of BASE cases and 53.3% (4336/8136) of DTS cases, originally contemplated and still needed in 19.4% (2986/15,376) of BASE cases and 17.7% (1438/8136) of DTS cases, and neither originally contemplated nor needed in 21.7% (3334/15,376) of BASE cases and 21.9% (1781/8136) of DTS cases. CONCLUSIONS: Both eConsult models had strong uptake. Use patterns varied between models, with the majority of growth occurring under BASE, but survey responses showed that both models provided similar outcomes in terms of new information offered and impact on decision to refer. JMIR Publications 2022-04-22 /pmc/articles/PMC9077515/ /pubmed/35451985 http://dx.doi.org/10.2196/32101 Text en ©Sheena Guglani, Clare Liddy, Amir Afkham, Rhea Mitchell, Erin Keely. Originally published in JMIR Formative Research (https://formative.jmir.org), 22.04.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Guglani, Sheena
Liddy, Clare
Afkham, Amir
Mitchell, Rhea
Keely, Erin
The Ontario Electronic Consultation (eConsult) Service: Cross-sectional Analysis of Utilization Data for 2 Models
title The Ontario Electronic Consultation (eConsult) Service: Cross-sectional Analysis of Utilization Data for 2 Models
title_full The Ontario Electronic Consultation (eConsult) Service: Cross-sectional Analysis of Utilization Data for 2 Models
title_fullStr The Ontario Electronic Consultation (eConsult) Service: Cross-sectional Analysis of Utilization Data for 2 Models
title_full_unstemmed The Ontario Electronic Consultation (eConsult) Service: Cross-sectional Analysis of Utilization Data for 2 Models
title_short The Ontario Electronic Consultation (eConsult) Service: Cross-sectional Analysis of Utilization Data for 2 Models
title_sort ontario electronic consultation (econsult) service: cross-sectional analysis of utilization data for 2 models
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9077515/
https://www.ncbi.nlm.nih.gov/pubmed/35451985
http://dx.doi.org/10.2196/32101
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