Evidence map›Paper›PMID 39425232›Full record

ArticleImplementation science communications2024

Improved access and care through the implementation of virtual Hallway, a consultation platform in Nova Scotia: preliminary findings from a feasibility evaluation.

Gail Tomblin Murphy, Tara Sampalli, Prosper Koto, Caroline Chamberland-Rowe, Julia Guk, Nelson Ventura, Justin Hartlen, Daniel Rasic, Jonathan Allen, Kianna Benson and 1 more

Abstract read
In one paragraph

Article in Implementation science communications, 2024. 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. Article
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

11 authors.

Gail Tomblin MurphyNova Scotia Health, 90 Lovett Lake Crt, Suite 201, B3S 0H6, Halifax, NS, Canada.
Tara SampalliNova Scotia Health, 90 Lovett Lake Crt, Suite 201, B3S 0H6, Halifax, NS, Canada. Tara.Sampalli@dal.ca.ORCID http://orcid.org/0000-0002-6459-1503
Prosper KotoNova Scotia Health, 90 Lovett Lake Crt, Suite 201, B3S 0H6, Halifax, NS, Canada.
Caroline Chamberland-RoweNova Scotia Health, 90 Lovett Lake Crt, Suite 201, B3S 0H6, Halifax, NS, Canada.
Julia GukNova Scotia Health, 90 Lovett Lake Crt, Suite 201, B3S 0H6, Halifax, NS, Canada.
Nelson VenturaNova Scotia Health, 90 Lovett Lake Crt, Suite 201, B3S 0H6, Halifax, NS, Canada.
Justin HartlenVirtual Hallway, 5663 Nora Bernard St. Suite 200, B3K 1B6, Halifax, NS, Canada.
Daniel RasicVirtual Hallway, 5663 Nora Bernard St. Suite 200, B3K 1B6, Halifax, NS, Canada.
Jonathan AllenVirtual Hallway, 5663 Nora Bernard St. Suite 200, B3K 1B6, Halifax, NS, Canada.
Kianna BensonNova Scotia Health, 90 Lovett Lake Crt, Suite 201, B3S 0H6, Halifax, NS, Canada.
Ryan MacNeilNova Scotia Health, 90 Lovett Lake Crt, Suite 201, B3S 0H6, Halifax, NS, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile previous studies have examined various platforms that enable providers to connect, Virtual Hallway (VH) stands out with its unique features. The value add is that this online platform connects primary care providers and specialists for synchronous phone-based conversations and aims to reduce referrals and enhance the quality of referrals. VH allows providers to easily log in, select the required specialty, book call times, receive reminders, and have calls documented, ensuring a high connection rate. In May 2022, the provincial health authority in Nova Scotia, a Canadian province, and VH initiated a feasibility study facilitated through the Health Innovation Hub in Nova Scotia. The goal was to enable primary care providers to connect with specialists, thereby reducing wait times and unnecessary referrals, and facilitating timely access to relevant clinical direction for patients. The current evaluation assessed utilization, value for money in economic analysis, and consultation experiences.

methodsThe study used post, cross-sectional, and cost-benefit study designs. We collected data through various methods, including administratively recorded utilization, theory-driven surveys, and cost data. Utilization was measured by the number of completed consults and the number of healthcare professionals using the VH platform. We analyzed the data using a combination of descriptive statistics and a cost-benefit analysis, which also involved conducting probabilistic sensitivity analysis.

resultsThe study found that approximately 84% of the VH consultations avoided needing in-person specialist referrals. The return on investment was 1.8 (95% CI: 0.8 to 3.0), indicating that the monetary value of the measurable benefits associated with VH exceeded the value of the resources invested. The provider experience survey revealed high satisfaction levels with VH across user groups, with 92% of specialists and 96% of primary care providers reporting being satisfied or highly satisfied with their experience. These positive indicators of provider experience were further supported by the fact that 97% of respondents agreed or strongly agreed that they intended to continue to use VH in their practice, and 97% of respondents agreed or strongly agreed that they would recommend VH to a colleague.

conclusionsThe study suggests that VH was well-received by users, with high levels of satisfaction reported and a reduced need for in-person referrals. It also represented value for money. Further research could explore how the availability of virtual health services can lead to reduced utilization of healthcare resources among different groups of patients.

Indexed as

Provider experienceReturn on investment; in-person referrals avoidedVirtual HallwayVirtual specialist consultation

Identifiers

PMID39425232
PMCPMC11488209

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Registered trials

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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.