Evidence map›Paper›PMID 40668209›Full record

ArticleJournal of primary care & community health

Examining Differences in Utilization of the Ontario eConsult Service in Rural Versus Urban Settings: A Retrospective Cross-Sectional Analysis.

Clare Liddy, Sheena Guglani, Nikhat Nawar, Erin Keely

Abstract read
In one paragraph

Article in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Clare LiddyC. T. Lamont Primary Healthcare Research Centre, Bruyere Health Research Institute, Ottawa, ON, Canada.ORCID 0000-0003-0699-5494
Sheena GuglaniC. T. Lamont Primary Healthcare Research Centre, Bruyere Health Research Institute, Ottawa, ON, Canada.
Nikhat NawarDepartment of Medicine, University of Ottawa, ON, Canada.
Erin KeelyeConsult Centre of Excellence, The Ottawa Hospital, Ottawa, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWe conducted a retrospective, cross-sectional analysis exploring patterns of usage and outcomes from urban vs. rural eConsults to examine eConsult's impact on equity of access in rural Ontario, Canada. Patients living in rural regions face many barriers in accessing specialist care. The Ontario eConsult Service connects primary care providers (PCP) with specialists regardless of geographical location, improving equity of access.

methodsWe included all Ontario eConsult cases submitted between January 1 and December 31, 2021. Usage data collected automatically by the service and responses to a mandatory closeout survey were analyzed using descriptive statistics. Cases were identified as rural using the forward sorting area of the PCP's primary practice.

resultsOf the 72,948 cases submitted during the study period, 7550 were coded rural. Usage among rural PCPs was most frequent in Ontario Health North East (1.78 eConsult cases/1000 residents) and Ontario Health North West (1.64). Rural and urban eConsult cases had the same top 5 most frequently requested specialties. Both groups had median response times of 1.0 days, reported time billed of 15 min, and cost per case of $50.

conclusionsPCPs in rural and urban regions use eConsult with equal frequency and had similar usage patterns and outcomes.

Indexed as

Health Services AccessibilityPrimary Health CareRural Health ServicesRural PopulationUrban Health ServicesUrban PopulationAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedOntarioRetrospective StudieseConsultelectronic consultationequity of accessprimary careruralspecialisturban

Identifiers

PMID40668209
PMCPMC12268131

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.