Evidence map›Paper›PMID 40461065›Full record

ArticleEmergency medicine journal : EMJ2025

Quantitative evaluation of patients' digital capability evaluated in an emergency department setting: a cross-sectional study.

Louise Bundsgaard Andersen, Jesper Juul Larsen, Kristoffer Marsaa, Gry Rosenmai, Helle Seemann, Thomas Andersen Schmidt

Abstract read
In one paragraph

Article in Emergency medicine journal : EMJ, 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. Trial
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.

Louise Bundsgaard AndersenDepartment of Emergency Medicine, Nordsjaellands Hospital, Hillerød, Denmark louise.bundsgaard@gmail.com.ORCID http://orcid.org/0009-0004-0820-7388
Jesper Juul LarsenDepartment of Emergency Medicine, Nordsjaellands Hospital, Hillerød, Denmark.
Kristoffer MarsaaSteno Diabetes Center Copenhagen, Herlev, Capital Region of Denmark, Denmark.
Gry RosenmaiDepartment of Emergency Medicine, Nordsjaellands Hospital, Hillerød, Denmark.
Helle SeemannDepartment of Emergency Medicine, Nordsjaellands Hospital, Hillerød, Denmark.
Thomas Andersen SchmidtDepartment of Emergency Medicine, Nordsjaellands Hospital, Hillerød, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe main aim of the study was (1) to assess digital literacy among acutely admitted patients in an ED, (2) to provide quantitative data relating to the 'inverse information law'. We hypothesised that a large proportion of acutely admitted patients are digitally incapable, and there is a link between age, frailty, hospital admittances and digital incapability.

designThis study is a single-centre, cross-sectional, prospective case-controlled questionnaire study. Clinical Frailty Scale (CFS), gender and age were collected from the patients' electronic medical reports. Information regarding smartphone usage, ability to access public mail/communication, educational level, living situation and number of admittances the last year were patient-reported bedside. Subsequently, ability to use a digital platform was tested.

settingA secondary care ED in Denmark, with a high level of broadband penetration, allows easy digital access.

participantsA total of 588 patients were assessed for eligibility, hereof 468 patients were included. Inclusion criteria were age above 18 years, admitted for treatment of an internal medicine or surgical problem, triaged non-emergent in a stable condition, informed oral and written consent.

main outcome measuresThe proportions of acutely admitted patients who were digitally capable versus incapable whether there is a link between age, frailty, hospital admittances and digital incapability.

resultsAmong patients included, 57% (n=265) had high digital literacy, while 43% (n=203) had low literacy Δ%=14. The high digital capability group was significantly younger by 23% (15.3, 20.5) p<0.001 and had lower CFS than the low digital capability group 2.3 versus 4.2 (1.7, 2.3) p<0.001. The low digital capability group had 1.6-fold more admittances the previous year (0.5, 1.2) p<0.001.

conclusionsThe proportion of digitally illiterate patients is high (43%), and they are older, frailer and have more hospital admittances and less high education than digitally literate patients. There is a significant digital divide that needs to be considered in health care.

Indexed as

Computer LiteracyEmergency Service, HospitalAdultAgedAged, 80 and overCase-Control StudiesCross-Sectional StudiesDenmarkFemaleHumansMaleMiddle AgedProspective StudiesSurveys and Questionnairescare systemscommunicationethicsfrailtyhealth service accessibility

Identifiers

PMID40461065
PMCPMC12703233

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LicenceCC BY-NC
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Registered trials

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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.