Evidence map›Paper›PMID 40409749›Full record

Observational studyJournal of medical Internet research2025

Impact of Telemedicine Adoption on Hemiplegia in Patients With Stroke in Florida: Longitudinal Observational Study.

Yao Li, Mingshan Zhang, Weiling Ke, Wenwen Li

Abstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2025. 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.

Yao LiDepartment of Information Systems and Management Engineering, Southern University of Science and Technology, Shenzhen, China.ORCID https://orcid.org/0000-0003-3752-6535
Mingshan ZhangDepartment of Information Systems and Management Engineering, Southern University of Science and Technology, Shenzhen, China.ORCID https://orcid.org/0009-0009-2135-3896
Weiling KeDepartment of Information Systems and Management Engineering, Southern University of Science and Technology, Shenzhen, China.ORCID https://orcid.org/0000-0002-1645-0634
Wenwen LiSchool of Management, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0002-7510-2234

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTelemedicine has emerged as a critical tool in the management of acute stroke; yet, its impact on clinical decision-making, particularly in the administration of tissue plasminogen activator (tPA), remains underexplored. Understanding how telemedicine influences tPA use and subsequent patient outcomes, such as hemiplegia, is critical for optimizing stroke care protocols.

objectiveThis study aims to assess whether the adoption of telemedicine influences treatment decisions regarding tPA administration in patients with stroke. In addition, we used a causal mediation framework to examine the causal path between telemedicine adoption and the occurrence of hemiplegia via tPA use. Furthermore, we conducted a moderated mediation analysis to investigate the extent to which regional differences (metropolitan vs nonmetropolitan locations) impact this mediated relationship.

methodsWe analyzed data of patients with stroke from Florida's State Emergency Department Database (SEDD), State Inpatient Database (SID), and the Healthcare Information and Management Systems Society (HIMSS) database, covering the years 2010 to 2017, with a focus on telemedicine adoption. The final sample includes 314,665 visits from patients with stroke. A fixed-effects model was used to examine the relationship between telemedicine adoption and tPA use and between tPA use and hemiplegia occurrence. A causal mediation framework was then applied to estimate the average direct effect and the average causal mediation effect of telemedicine on hemiplegia through tPA use. In addition, a moderated mediation analysis was performed to explore how metropolitan status influences the mediation process.

resultsWe found that telemedicine adoption is associated with a 1% decrease in tPA use (coefficient=-0.010; 95% CI -0.013 to -0.007; P<.001), and that the use of tPA is associated with a 23.7% increased probability of hemiplegia (coefficient=0.237, 95% CI 0.231-0.243; P<.001). Consequently, telemedicine adoption was found to reduce the likelihood of hemiplegia by decreasing tPA usage. The causal mediation analysis shows a negative average causal mediation effect (average causal mediation effect=-0.002, 95% CI -0.003 to -0.002; P<.001), suggesting that telemedicine adoption reduces hemiplegia occurrence, while the average direct effect is not statistically significant (average direct effect=-0.002, 95% CI -0.007 to 0.004; P>.10). Importantly, the positive effect of telemedicine on reducing hemiplegia is observed only among metropolitan patients.

conclusionsThis study provides evidence that telemedicine adoption can improve stroke care by reducing tPA administration, thereby lowering the risk of hemiplegia. However, the benefits appear more pronounced in metropolitan areas, highlighting potential regional disparities in stroke care. These findings underscore the importance of targeted interventions to ensure equitable access to telemedicine, especially in rural and underserved areas. Policy makers should focus on enhancing telemedicine infrastructure and training in these regions to optimize stroke care and reduce health inequities.

Indexed as

HemiplegiaStrokeTelemedicineAgedAged, 80 and overFemaleFloridaHumansLongitudinal StudiesMaleMiddle AgedTissue Plasminogen ActivatorTissue Plasminogen Activatorhemiplegialongitudinal studiesstroketelemedicinetissue plasminogen activator

Identifiers

PMID40409749
PMCPMC12144472

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.