Evidence map›Paper›PMID 42539414›Full record

ArticleTelemedicine reports

A Unified Framework for Telehealth Encounters: Literature Review and Taxonomy Development.

Kovida S Yalamanchi, Elizabeth Moreton, Suguna Kotte, Zhaoqiang Zhou, John Chuo, David McSwain, Saif Khairat

Abstract read
In one paragraph

Article in Telemedicine reports. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Kovida S YalamanchiSchool of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID https://orcid.org/0009-0006-0522-7361
Elizabeth MoretonCarolina Health Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Suguna KotteCarolina Health Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Zhaoqiang ZhouCarolina Health Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
John ChuoChildren's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Pennsylvania, USA.
David McSwainUNC Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Saif KhairatSchool of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Funding

Center for Virtual Care Value and Excellence (ViVE). RC2TR004380 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Saif Khairat · 2023 to 2026
$3.0M
NCATS NIH HHS RC2 TR004380
6 · The paper itself

Abstract

Background: The rapid expansion of telehealth, which was accelerated by the COVID-19 pandemic, has outpaced standardized approaches to data capture, resulting in fragmented documentation and limited research infrastructure. A centralized telehealth taxonomy would be useful for improving documentation, evaluating utilization, and informing decision-making. However, no comprehensive telehealth taxonomy has been developed to date. Methods: A scoping literature review was conducted to identify the characteristics needed to build a comprehensive telehealth taxonomy that informs a data repository. Then, a hybrid hierarchical mind map taxonomy was built using the frameworks and concepts from the reviewed articles, along with insight and feedback from eight telehealth domain experts. The taxonomy was revised using an iterative process, and the final version was approved by the domain experts. Results: Ten articles were ultimately included in this scoping review. Based on the findings of those articles, the final taxonomy includes 14 core variables that span the full telehealth appointment, including previsit preparation, during-visit interactions, and postvisit follow-up. The variables are arranged across both patient and provider perspectives. The taxonomy includes four dimensions: synchronous and asynchronous modalities, user perspectives, functionality, and payment considerations. Furthermore, the taxonomy aligns with electronic health record data fields, thus promoting interoperability and structured data capture. Discussion: The unified framework developed herein aims to bridge gaps in telehealth research by providing a scalable, interoperable foundation for data repositories. Ultimately, this taxonomy lays the groundwork for improved telehealth data infrastructure and can enhance research, clinical care, and data-informed policy development.

Indexed as

e-healthelectronic health recordsmedical recordstelehealthtelemedicine

Identifiers

PMID42539414
PMCPMC13422713

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.