Evidence map›Paper›PMID 36897627›Full record

ArticleJournal of medical Internet research2023

Development and Internal Validation of the Digital Health Readiness Questionnaire: Prospective Single-Center Survey Study.

Martijn Scherrenberg, Maarten Falter, Toshiki Kaihara, Linqi Xu, Mayke van Leunen, Hareld Kemps, Hanne Kindermans, Paul Dendale

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Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

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

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  12. Digital exclusion in healthcare services: a scoping review.International journal for equity in health · 2026
    Review
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  15. 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

8 authors.

Martijn Scherrenberg *Heart Centre Hasselt, Jessa Hospital, Hasselt, Belgium.ORCID 0000-0001-9483-3828
Maarten Falter *Heart Centre Hasselt, Jessa Hospital, Hasselt, Belgium.ORCID 0000-0001-7407-115X
Toshiki KaiharaHeart Centre Hasselt, Jessa Hospital, Hasselt, Belgium.ORCID 0000-0003-0941-8035
Linqi XuHeart Centre Hasselt, Jessa Hospital, Hasselt, Belgium.ORCID 0000-0002-4346-0547
Mayke van LeunenDepartment of Cardiology, Maxima Medical Centre, Veldhoven, Netherlands.ORCID 0000-0002-5048-3747
Hareld KempsDepartment of Cardiology, Maxima Medical Centre, Veldhoven, Netherlands.ORCID 0000-0003-0272-4355
Hanne KindermansFaculty of Medicine and Life Sciences, Hasselt University, Diepenbeek, Belgium.ORCID 0000-0003-2723-1645
Paul DendaleHeart Centre Hasselt, Jessa Hospital, Hasselt, Belgium.ORCID 0000-0003-0821-4559

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile questionnaires for assessing digital literacy exist, there is still a need for an easy-to-use and implementable questionnaire for assessing digital readiness in a broader sense. Additionally, learnability should be assessed to identify those patients who need additional training to use digital tools in a health care setting.

objectiveThe aim of the development of the Digital Health Readiness Questionnaire (DHRQ) was to create a short, usable, and freely accessible questionnaire that was designed from a clinical practice perspective.

methodsIt was a prospective single-center survey study conducted in Jessa Hospital Hasselt in Belgium. The questionnaire was developed with a panel of field experts with questions in following 5 categories: digital usage, digital skills, digital literacy, digital health literacy, and digital learnability. All participants who were visiting the cardiology department as patients between February 1, 2022, and June 1, 2022, were eligible for participation. Cronbach α and confirmatory factor analysis were performed.

resultsA total number of 315 participants were included in this survey study, of which 118 (37.5%) were female. The mean age of the participants was 62.6 (SD 15.1) years. Cronbach α analysis yielded a score of >.7 in all domains of the DHRQ, which indicates acceptable internal consistency. The fit indices of the confirmatory factor analysis showed a reasonably good fit: standardized root-mean-square residual=0.065, root-mean-square error of approximation=0.098 (95% CI 0.09-0.106), Tucker-Lewis fit index=0.895, and comparative fit index=0.912.

conclusionsThe DHRQ was developed as an easy-to-use, short questionnaire to assess the digital readiness of patients in a routine clinical setting. Initial validation demonstrates good internal consistency, and future research will be needed to externally validate the questionnaire. The DHRQ has the potential to be implemented as a useful tool to gain insight into the patients who are treated in a care pathway, tailor digital care pathways to different patient populations, and offer those with low digital readiness but high learnability appropriate education programs in order to let them take part in the digital pathways.

Indexed as

Health LiteracyBelgiumFemaleHospitalsHumansMaleMiddle AgedProspective StudiesPsychometricsReproducibility of ResultsSurveys and Questionnairesadherenceassessmentdigital accessdigital dividedigital healthdigital health interventiondigital literacydigital skillshealth literacyparticipationtelemedicine

Identifiers

PMID36897627
PMCPMC10039407

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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.