Evidence map›Paper›PMID 33206050›Full record

ArticleJMIR medical informatics2020

The Associations of Electronic Health Record Usability and User Age With Stress and Cognitive Failures Among Finnish Registered Nurses: Cross-Sectional Study.

Anu-Marja Kaihlanen, Kia Gluschkoff, Hannele Hyppönen, Johanna Kaipio, Sampsa Puttonen, Tuulikki Vehko, Kaija Saranto, Liisa Karhe, Tarja Heponiemi

Open access · goldAbstract read
In one paragraph

Article in JMIR medical informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
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  5. ICU Provider Perspectives on EHR Usability.Studies in health technology and informatics · 2025
    Article
  6. Article
  7. Article
  8. Medical and nursing clinician perspectives on the usability of the hospital electronic medical record: A qualitative analysis.Health information management : journal of the Health Information Management Association of Australia · 2024
    Article
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  13. Observational
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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 5 institutions in 1 country.

Anu-Marja KaihlanenFinnish Institute for Health and Welfare, Helsinki, Finland.ORCID https://orcid.org/0000-0002-4033-3673
Kia GluschkoffFinnish Institute for Health and Welfare, Helsinki, Finland.ORCID https://orcid.org/0000-0002-0340-4209
Hannele HyppönenFinnish Institute for Health and Welfare, Helsinki, Finland.ORCID https://orcid.org/0000-0002-3914-5640
Johanna KaipioDepartment of Computer Science, Aalto University, Helsinki, Finland.ORCID https://orcid.org/0000-0002-6659-5022
Sampsa PuttonenFinnish Institute of Occupational Health, Helsinki, Finland.ORCID https://orcid.org/0000-0002-7796-6941
Tuulikki VehkoFinnish Institute for Health and Welfare, Helsinki, Finland.ORCID https://orcid.org/0000-0002-0034-8379
Kaija SarantoDepartment of Health and Social Management, University of Eastern Finland, Kuopio, Finland.ORCID https://orcid.org/0000-0002-3195-1955
Liisa KarheFinnish Nurses Association, Helsinki, Finland.ORCID https://orcid.org/0000-0002-7848-5445
Tarja HeponiemiFinnish Institute for Health and Welfare, Helsinki, Finland.ORCID https://orcid.org/0000-0001-8540-049X
Finnish Institute for Health and Welfare · FIAalto University · FIFinnish Dental Association · FIFinnish Institute of Occupational Health · FIUniversity of Eastern Finland · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElectronic health records (EHRs) are expected to provide many clinical and organizational benefits. Simultaneously, the end users may face unintended consequences, such as stress and increased cognitive workload, due to poor EHR usability. However, whether the effects of usability depend on end user characteristics, such as career stage or age, remains poorly understood.

objectiveThe objective of this study was to examine the associations of EHR usability and user age with stress related to information systems and cognitive failures among registered nurses.

methodsA cross-sectional survey design was employed in Finland in 2017. A total of 3383 registered nurses responded to the nationwide electronic survey. Multiple linear regression was used to examine the associations of EHR usability (eg, how easily information can be found and a patient's care can be documented) and user age with stress related to information systems and cognitive failures. Interaction effects of EHR usability and age were also tested. Models were adjusted for gender and employment sector.

resultsPoor EHR usability was associated with higher levels of stress related to information systems (β=.38; P<.001). The strength of the association did not depend on user age. Poor EHR usability was also associated with higher levels of cognitive failures (β=.28; P<.001). There was a significant interaction effect between age and EHR usability for cognitive failures (β=.04; P<.001). Young nurses who found the EHR difficult to use reported the most cognitive failures.

conclusionsInformation system stress due to poor EHR usability afflicts younger and older nurses alike. However, younger nurses starting their careers may be more cognitively burdened if they find EHR systems difficult to use compared to older nurses. Adequate support in using the EHRs may be particularly important to young registered nurses, who have a lot to learn and adopt in their early years of practice.

Indexed as

cognitive failureelectronic health recordsnursestressusability

Identifiers

PMID33206050
PMCPMC7710446
OpenAlexW3092620773

What Socratic 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 Socratic graph.