Evidence map›Paper›PMID 30747717›Full record

ArticleJournal of medical Internet research2019

Development of the Multidimensional Readiness and Enablement Index for Health Technology (READHY) Tool to Measure Individuals' Health Technology Readiness: Initial Testing in a Cancer Rehabilitation Setting.

Lars Kayser, Sine Rossen, Astrid Karnoe, Gerald Elsworth, Jette Vibe-Petersen, Jesper Frank Christensen, Mathias Ried-Larsen, Richard H Osborne

Registry-linked trialAbstract read
In one paragraph

Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06988566 (Telemedical Monitoring and Treatment of COPD Patients Associated With General Practice), which is not on this map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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.

NCT06988566 nacompletednot on this mapstarted 2020, after this paper: background citation

Telemedical Monitoring and Treatment of COPD Patients Associated With General Practice (TEMOKAP)

TypeinterventionalSponsorECM Klinikken APSRan2020 to 2022Enrolled184ConditionsCOPD (Chronic Obstructive Pulmonary Disease)ArmsIntervention Group
3 · Its place in the literature

Who cites it

44 citing papers in PubMed.

  1. Trial
  2. Review
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  5. Developing a validity testing plan for a patient-reported outcome measure in a new context using the argument-based approach to validity.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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  17. [Concept of Digital Health Literacy: A Scoping Review].Jugan geon-gang gwa jilbyeong · 2024
    Review
  18. Article
  19. Article
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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.

Lars Kayser *Department of Public Health, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-0909-4088
Sine Rossen *Centre of Inflammation and Metabolism, Rigshospitalet, Copenhagen, Denmark.ORCID 0000-0003-0006-7216
Astrid KarnoeDanish Multiple Sclerosis Society, Valby, Denmark.ORCID 0000-0002-2571-1111
Gerald ElsworthCentre for Population Health Research, Faculty of Health, Deakin University, Geelong, Australia.ORCID 0000-0001-6306-7593
Jette Vibe-PetersenCopenhagen Centre for Cancer and Health, Municipality of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-7029-8194
Jesper Frank ChristensenCentre of Inflammation and Metabolism, Rigshospitalet, Copenhagen, Denmark.ORCID 0000-0003-4858-1505
Mathias Ried-LarsenCentre of Inflammation and Metabolism, Rigshospitalet, Copenhagen, Denmark.ORCID 0000-0002-8388-5291
Richard H OsborneDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-9081-2699

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe increasing digitization of health care services with enhanced access to fast internet connections, along with wide use of smartphones, offers the opportunity to get health advice or treatment remotely. For service providers, it is important to consider how consumers can take full advantage of available services and how this can create an enabling environment. However, it is important to consider the digital context and the attributes of current and future users, such as their readiness (ie, knowledge, skills, and attitudes, including trust and motivation).

objectiveThe objective of this study was to evaluate how the eHealth Literacy Questionnaire (eHLQ) combined with selected dimensions from the Health Education Impact Questionnaire (heiQ) and the Health Literacy Questionnaire (HLQ) can be used together as an instrument to characterize an individual's level of health technology readiness and explore how the generated data can be used to create health technology readiness profiles of potential users of health technologies and digital health services.

methodsWe administered the instrument and sociodemographic questions to a population of 305 patients with a recent cancer diagnosis referred to rehabilitation in a setting that plans to introduce various technologies to assist the individuals. We evaluated properties of the Readiness and Enablement Index for Health Technology (READHY) instrument using confirmatory factor analysis, convergent and discriminant validity analysis, and exploratory factor analysis. To identify different health technology readiness profiles in the population, we further analyzed the data using hierarchical and k-means cluster analysis.

resultsThe confirmatory factor analysis found a suitable fit for the 13 factors with only 1 cross-loading of 1 item between 2 dimensions. The convergent and discriminant validity analysis revealed many factor correlations, suggesting that, in this population, a more parsimonious model might be achieved. Exploratory factor analysis pointed to 5 to 6 constructs based on aggregates of the existing dimensions. The results were not satisfactory, so we performed an 8-factor confirmatory factor analysis, resulting in a good fit with only 1 item cross-loading between 2 dimensions. Cluster analysis showed that data from the READHY instrument can be clustered to create meaningful health technology readiness profiles of users.

conclusionsThe 13 dimensions from heiQ, HLQ, and eHLQ can be used in combination to describe a user's health technology readiness level and degree of enablement. Further studies in other populations are needed to understand whether the associations between dimensions are consistent and the number of dimensions can be reduced.

Indexed as

FemaleHealth EducationHealth LiteracyHealth Services AccessibilityHumansMaleSurveys and QuestionnairesTelemedicineeHealth literacy, enablementhealth technology readinessquestionnaire

Identifiers

PMID30747717
PMCPMC6404640

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.