ArticleCureus2020
Patients' Perception of Telemedicine in a Large Urban Inner-City Emergency Department: A Cross-Sectional Survey.
Article in Cureus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed, 5 citations in OpenAlex.
- Technological and Socio-Demographic Factors Influencing Telemedicine Literacy in Trinidad and Tobago: A Cross-Sectional Study Using Multidimensional Approach.Health science reports · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction Telemedicine has the potential to ease emergency department (ED) overcrowding, improve ED throughput, and decrease the cost of medical care. Much of the current knowledge of telemedicine systems focuses on bringing more specialty care to the ED or improving access in rural areas. Limited research exists on patients' perception of telemedicine in an urban ED. Methods A survey exploring perceptions of telemedicine encounters was distributed to both providers and patients following mirrored encounters between October 2015 and August 2016. Chi-square analysis was conducted to identify associations between factors and openness to telemedicine from the patients' perspective. Results A total of 174 patients were included in the analysis. Factors associated with patient willingness to try telemedicine included: having access to a tablet with internet (p=0.0023), having access to a tablet with camera (p=0.0025), having downloaded apps in the past (p=0.0028), having used an app in the past (p<0.0001), and had frequent video chat in the past (p=0.0142). Conclusion With widespread access to smartphones with internet connectivity and pressing demands for healthcare services, telemedicine may provide a potential solution to low acuity medical care needs.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.