Evidence map›Paper›PMID 26156096›Full record

ArticleJMIR mHealth and uHealth2015

The Prevalence and Characteristics of Emergency Medicine Patient Use of New Media.

Lori Ann Post, Federico E Vaca, Brian J Biroscak, James Dziura, Cynthia Brandt, Steven L Bernstein, Richard Taylor, Liudvikas Jagminas, Gail D'Onofrio

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.9field-weighted citation impact, top 5% of its field
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

15 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  4. Informing Acceptability and Feasibility of Digital Phenotyping for Personalized HIV Prevention among Marginalized Populations Presenting to the Emergency Department.Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences · 2024
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  7. A roadmap for cardiovascular care after release from incarceration: uses of a smartphone application.Journal of the American Medical Informatics Association : JAMIA · 2021
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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

9 authors at 2 institutions in 1 country.

Lori Ann PostYale School of Medicine, Department of Emergency Medicine, Yale University, New Haven, CT, United States. lori.post@yale.edu.ORCID http://orcid.org/0000-0002-6261-3254
Yale University · USBeth Israel Deaconess Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLittle is known about "new media" use, defined as media content created or consumed on demand on an electronic device, by patients in emergency department (ED) settings. The application of this technology has the potential to enhance health care beyond the index visit.

objectiveThe objectives are to determine the prevalence and characteristics of ED patients' use of new media and to then define and identify the potential of new media to transcend health care barriers and improve the public's health.

methodsFace-to-face, cross-sectional surveys in Spanish and English were given to 5,994 patients who were sequentially enrolled from July 12 to August 30, 2012. Data were collected from across a Southern Connecticut health care system's 3 high-volume EDs for 24 hours a day, 7 days a week for 6 weeks. The EDs were part of an urban academic teaching hospital, an urban community hospital, and an academic affiliate hospital.

resultsA total of 5,994 (89% response rate) ED patients reported identical ownership of cell phones (85%, P<.001) and smartphones (51%, P<.001) that were used for calling (99%, P<.001). The older the patient, however, the less likely it was that the patient used the phone for texting (96% vs 16%, P<.001). Income was positively associated with smartphone ownership (P<.001) and the use of health apps (P>.05) and personal health records (P<.001). Ownership of iPhones compared to Android phones were similar (44% vs 45%, P<.05). Race and ethnicity played a significant role in texting and smartphone ownership, with Hispanics reporting the highest rates of 79% and 56%, respectively, followed by black non-Hispanics at 77% and 54%, respectively, and white non-Hispanics at 65% and 42%, respectively (P<.05).

conclusionsThere is a critical mass of ED patients who use new media. Older persons are less comfortable texting and using smartphone apps. Income status has a positive relationship with smartphone ownership and use of smartphone apps. Regardless of income, however, texting and ownership of smartphones was highest for Latinos and black non-Latinos. These findings have implications for expanding health care beyond the ED visit through the use of cell phones, smartphones, texting, the Internet, and health care apps to improve the health of the public.

Indexed as

health care servicesmedical informaticsmobile phonesnew mediapersonal health management

Identifiers

PMID26156096
PMCPMC4526985
OpenAlexW1511459759

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.