Evidence map›Paper›PMID 40089697›Full record

ArticleBMC public health2025

Evaluation of an e-learning platform promoting electronic personal health record competence: a pilot trial in older adults.

Luis Perotti, Oskar Stamm, Drin Ferizaj, Michael Dietrich, Ilona Buchem, Ursula Müller-Werdan

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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.

Luis PerottiDepartment of Geriatrics and Medical Gerontology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, 13347, Germany. luis.perotti@charite.de.ORCID http://orcid.org/0000-0003-0020-2617
Oskar StammDepartment of Geriatrics and Medical Gerontology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, 13347, Germany.ORCID http://orcid.org/0000-0003-1584-687X
Drin FerizajDepartment of Geriatrics and Medical Gerontology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, 13347, Germany.ORCID http://orcid.org/0000-0002-7132-7778
Michael DietrichGerman Research Center for Artificial Intelligence Berlin, 10559, Berlin, Germany.
Ilona BuchemBerlin University of Applied Sciences, 13154, Berlin, Germany.ORCID http://orcid.org/0000-0002-9189-7217
Ursula Müller-WerdanDepartment of Geriatrics and Medical Gerontology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, 13347, Germany.ORCID http://orcid.org/0000-0003-4440-8991

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElectronic personal health records (ePHRs) play a key role in the digitalization of healthcare, but older adults, often less familiar with digital tools, face access challenges. This study assesses the effects of an interactive, microlearning-based e-learning platform on improving older adults' ePHR competencies.

methodsTo examine the effects of e-learning platform use on competencies, a pilot trial was conducted with two study groups. One group consisted of young-old adults (YOA) aged 50 to 64 years, and the other of older adults (OA) aged 65 years and older. Participants were recruited via senior organizations and facilities, newsletters and an internal database. Both groups used the learning platform for one week. Participants' ePHR knowledge (12-item questionnaire) and usage skills (completion time for three ePHR tasks) were measured pre- and post-intervention on site. The intention to use (ITU) the ePHR was surveyed using a Technology Usage Inventory subscale. The usability of the platform was assessed using the System Usability Scale.

resultsTwenty-eight participants (mean age YOA = 56.86, OA = 75.15 years) completed the study, with more women in both groups (YOA: 78.57%, OA: 57.14%). Knowledge improved significantly in both groups: OA increased their median correct answers from 7.00 to 9.00 (p = .019, r = .63), YOA increased from 7.00 to 10.00 (p = .001, r = .86). Median task completion times also decreased for both groups: OA from 746.50 to 539.00 s (p = .002, r = .82), YOA from 487.00 to 351.00 s (p = .012, r = .67). There were no significant differences between groups in terms of knowledge (p = .125) or skill acquisition (p = .144). Across the entire population, median ITU scores decreased from 282.00 to 262.00 (p = .038, r = .39), indicating a reduced intention to use the ePHR, though no changes were observed within groups. The platform's usability scored a mean of 64.04, suggesting high marginal usability.

conclusionBoth OA and YOA improved their ePHR competencies after using the learning platform, with no significant differences between groups. The findings suggest that e-learning can enhance ePHR competence in older adults, though improvements in platform usability are needed for wider application in future studies.

trial registrationGerman Clinical Trials Register (registration number: DRKS00031730), registered on 20/04/2023-prospectively registered.

Indexed as

Computer-Assisted InstructionElectronic Health RecordsHealth Records, PersonalAgedFemaleHumansMaleMiddle AgedPilot ProjectsSurveys and QuestionnairesDigital competenciesEHealth literacyE-learningElectronic personal health recordEPAGermanyOlder adultsPatient portalPersonal health record

Identifiers

PMID40089697
PMCPMC11910860

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.