Evidence map›Paper›PMID 42175113›Full record

ArticleStudies in health technology and informatics2026

Usability of Digital Health Technologies in the US: Results from a Descriptive National Online Survey of Nurses.

Hwayoung Cho, Jiyoun Song, Oliver Nguyen, Tamara Macieira, Raga Bjarnadottir, Dawn Dowding

Abstract read
In one paragraph

Article in Studies in health technology and informatics, 2026. 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

6 authors.

Hwayoung ChoUniversity of Florida, Gainesville, FL, USA.
Jiyoun SongUniversity of Pennsylvania, Philadelphia, PA, USA.
Oliver NguyenUniversity of Wisconsin-Madison, WI, USA.
Tamara MacieiraUniversity of Florida, Gainesville, FL, USA.
Raga BjarnadottirUniversity of Florida, Gainesville, FL, USA.
Dawn DowdingUniversity of Manchester, Manchester, UK.

Funding

Disparities in Risk of Dementia among People Living with HIV using Real-World DataK01AG090118 · NIA · UNIVERSITY OF FLORIDA · PI Hwayoung Cho · 2024 to 2026
$375k
NIA NIH HHS K01 AG090118
6 · The paper itself

Abstract

The COVID-19 pandemic accelerated the use of digital technologies across healthcare systems, highlighting nurses' pivotal role in technology-enabled care. This paper reports findings from a US national descriptive survey conducted during the pandemic period to examine nurses' use and perceived usability of digital health technologies. An anonymous online survey was administered to registered nurses (RNs) across six US states. A total of 752 RN responses were analyzed, reporting technologies used, integration, training received, usability (measured by the System Usability Scale [SUS]), and perceived support. Stand-alone technologies were commonly used, many of which were newly introduced during the pandemic. Remote patient monitoring was the most common technology and demonstrated the highest mean SUS score (74.4), where scores above 68 indicate acceptable usability. More than half of nurses reported sufficient training, yet many cited challenges such as system crashes, poor integration, and limited informatics support. Broad adoption of digital technologies during the pandemic was accompanied by variability in usability and training. Findings highlight variation in usability across technology categories and underscore the need for ongoing informatics education, user-centered design, and interoperable infrastructures to support digital nursing practice.

Indexed as

COVID-19NursesNursing InformaticsAdultDigital HealthFemaleHumansPandemicsRemote Patient MonitoringSurveys and QuestionnairesTelemedicineUnited StatesCOVID-19digital healthhealth information systemsnursing informaticsremote patient monitoringtelehealthusability

Identifiers

PMID42175113
PMCPMC13367925

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.