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Understanding the impact of a multispecialty electronic consultation service on family physician referral rates to specialists: a randomized controlled trial using health administrative data

BACKGROUND: Electronic consultation (eConsult) services are secure online applications facilitating provider-to-provider communication. They have been found to improve access to specialist care. However, little is known about eConsult’s impact on family physicians’ referral rates to specialty care....

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Autores principales: Liddy, Clare, Moroz, Isabella, Keely, Erin, Taljaard, Monica, Deri Armstrong, Catherine, Afkham, Amir, Kendall, Claire E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6558850/
https://www.ncbi.nlm.nih.gov/pubmed/31182123
http://dx.doi.org/10.1186/s13063-019-3393-5
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author Liddy, Clare
Moroz, Isabella
Keely, Erin
Taljaard, Monica
Deri Armstrong, Catherine
Afkham, Amir
Kendall, Claire E.
author_facet Liddy, Clare
Moroz, Isabella
Keely, Erin
Taljaard, Monica
Deri Armstrong, Catherine
Afkham, Amir
Kendall, Claire E.
author_sort Liddy, Clare
collection PubMed
description BACKGROUND: Electronic consultation (eConsult) services are secure online applications facilitating provider-to-provider communication. They have been found to improve access to specialist care. However, little is known about eConsult’s impact on family physicians’ referral rates to specialty care. The objective of this study was to assess the impact of a multispecialty eConsult service on referral rates from primary care. METHODS: In this parallel-arm, randomized controlled trial, we recruited primary care providers across Ontario not previously enrolled with eConsult. We randomly assigned participants to intervention and control arms. Participants in the intervention arm received access to eConsult for a period of 1 year while those in the control arm received no access to eConsult. The main outcome was specialist referral rate, expressed as the total number of referrals to (1) specialties available through eConsult, and (2) all medical specialties, per 100 patients seen. Multivariable negative binomial regression analysis was used to evaluate the effect of the intervention before and after adjusting for provider characteristics, using health administrative data. RESULTS: One hundred and thirteen participants were randomized (56 to control and 57 to intervention). For the primary outcome (referrals to eConsult specialties), the results show a statistically significant reduction in the number of referrals in both arms (control-arm Rate Ratio (RR), 0.85, 95% CI 0.79 to 0.91; intervention-arm RR, 0.80, 95% CI 0.74 to 0.85; unadjusted and adjusted RR values almost identical), as compared to the baseline data collected during the 12-month period before randomization, with a non-statistically significant 6% greater reduction in referrals in the intervention arm, compared to the control arm (unadjusted RR 0.94, 95% CI 0.85 to 1.03; adjusted RR 0.93, 95% CI 0.85 to 1.03). CONCLUSIONS: Our randomized controlled trial of a multispecialty eConsult service demonstrated inconclusive results in terms of the impact of eConsult on physician referral rates. Findings are discussed in light of important limitations associated with conducting randomized controlled trials (RCTs) of complex interventions in the primary care context with intent to inform the design and analysis of future trials. TRIAL REGISTRATION: Clinicaltrials.gov, ID: NCT02053467. Registered prospectively on 3 February 2014.
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spelling pubmed-65588502019-06-13 Understanding the impact of a multispecialty electronic consultation service on family physician referral rates to specialists: a randomized controlled trial using health administrative data Liddy, Clare Moroz, Isabella Keely, Erin Taljaard, Monica Deri Armstrong, Catherine Afkham, Amir Kendall, Claire E. Trials Research BACKGROUND: Electronic consultation (eConsult) services are secure online applications facilitating provider-to-provider communication. They have been found to improve access to specialist care. However, little is known about eConsult’s impact on family physicians’ referral rates to specialty care. The objective of this study was to assess the impact of a multispecialty eConsult service on referral rates from primary care. METHODS: In this parallel-arm, randomized controlled trial, we recruited primary care providers across Ontario not previously enrolled with eConsult. We randomly assigned participants to intervention and control arms. Participants in the intervention arm received access to eConsult for a period of 1 year while those in the control arm received no access to eConsult. The main outcome was specialist referral rate, expressed as the total number of referrals to (1) specialties available through eConsult, and (2) all medical specialties, per 100 patients seen. Multivariable negative binomial regression analysis was used to evaluate the effect of the intervention before and after adjusting for provider characteristics, using health administrative data. RESULTS: One hundred and thirteen participants were randomized (56 to control and 57 to intervention). For the primary outcome (referrals to eConsult specialties), the results show a statistically significant reduction in the number of referrals in both arms (control-arm Rate Ratio (RR), 0.85, 95% CI 0.79 to 0.91; intervention-arm RR, 0.80, 95% CI 0.74 to 0.85; unadjusted and adjusted RR values almost identical), as compared to the baseline data collected during the 12-month period before randomization, with a non-statistically significant 6% greater reduction in referrals in the intervention arm, compared to the control arm (unadjusted RR 0.94, 95% CI 0.85 to 1.03; adjusted RR 0.93, 95% CI 0.85 to 1.03). CONCLUSIONS: Our randomized controlled trial of a multispecialty eConsult service demonstrated inconclusive results in terms of the impact of eConsult on physician referral rates. Findings are discussed in light of important limitations associated with conducting randomized controlled trials (RCTs) of complex interventions in the primary care context with intent to inform the design and analysis of future trials. TRIAL REGISTRATION: Clinicaltrials.gov, ID: NCT02053467. Registered prospectively on 3 February 2014. BioMed Central 2019-06-10 /pmc/articles/PMC6558850/ /pubmed/31182123 http://dx.doi.org/10.1186/s13063-019-3393-5 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Liddy, Clare
Moroz, Isabella
Keely, Erin
Taljaard, Monica
Deri Armstrong, Catherine
Afkham, Amir
Kendall, Claire E.
Understanding the impact of a multispecialty electronic consultation service on family physician referral rates to specialists: a randomized controlled trial using health administrative data
title Understanding the impact of a multispecialty electronic consultation service on family physician referral rates to specialists: a randomized controlled trial using health administrative data
title_full Understanding the impact of a multispecialty electronic consultation service on family physician referral rates to specialists: a randomized controlled trial using health administrative data
title_fullStr Understanding the impact of a multispecialty electronic consultation service on family physician referral rates to specialists: a randomized controlled trial using health administrative data
title_full_unstemmed Understanding the impact of a multispecialty electronic consultation service on family physician referral rates to specialists: a randomized controlled trial using health administrative data
title_short Understanding the impact of a multispecialty electronic consultation service on family physician referral rates to specialists: a randomized controlled trial using health administrative data
title_sort understanding the impact of a multispecialty electronic consultation service on family physician referral rates to specialists: a randomized controlled trial using health administrative data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6558850/
https://www.ncbi.nlm.nih.gov/pubmed/31182123
http://dx.doi.org/10.1186/s13063-019-3393-5
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