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ArticleHigh blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension2025

Psychometric Properties of the TWente Engagement with Ehealth Technologies Scale (TWEETS) Among Patients with Hypertension in Italy.

Debora Rosa, Giulia Villa, Ilaria Marcomini, Elisa Nardin, Enrico Gianfranceschi, Andrea Faini, Martino F Pengo, Grzegorz Bilo, Alessandro Croce, Duilio Fiorenzo Manara and 1 more

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Article in High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Debora RosaCenter for Nursing Research and Innovation, Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy.
Giulia VillaCenter for Nursing Research and Innovation, Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy.
Ilaria MarcominiCenter for Nursing Research and Innovation, Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy. marcomini.ilaria@unisr.it.ORCID http://orcid.org/0000-0001-8096-0199
Elisa NardinIstituto Auxologico Italiano IRCCS, Milan, Italy.
Enrico GianfranceschiIstituto Auxologico Italiano IRCCS, Milan, Italy.
Andrea FainiIstituto Auxologico Italiano IRCCS, Milan, Italy.
Martino F PengoIstituto Auxologico Italiano IRCCS, Milan, Italy.
Grzegorz BiloIstituto Auxologico Italiano IRCCS, Milan, Italy.
Alessandro CroceIstituto Auxologico Italiano IRCCS, Milan, Italy.
Duilio Fiorenzo ManaraCenter for Nursing Research and Innovation, Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy.
Gianfranco ParatiIstituto Auxologico Italiano IRCCS, Milan, Italy.

Funding

Omron Healthcare Omron Healthcare
6 · The paper itself

Abstract

introductionEngagement with mobile health (mHealth) technologies among patients with hypertension is linked to reduced blood pressure and improved patient understanding of the condition.

aimThis study aimed to evaluate the psychometric properties (validity and reliability) of the TWente Engagement with Ehealth Technologies Scale (TWEETS) in an Italian cohort with hypertension. This study is the first attempt to evaluate the psychometric characteristics of the TWEETS in this population.

methodsThe study was conducted in three phases. The first phase encompassed the translation and cultural adaptation of the TWEETS to the Italian setting. The second phase involved an expert panel evaluating the instrument's face and content validities. The third phase was a cross-sectional study aiming to test construct validity and reliability. Adults diagnosed with hypertension were eligible for participation. Additional inclusion criteria included stable antihypertensive treatment for at least 2 weeks before enrolment and the provision of written informed consent. Patients were taught how to use two mHealth devices using the teach-back method.

resultsA total of 131 patients were enrolled. Exploratory and confirmatory factor analyses revealed that the TWEETS had a one-factor structure and a good level of fit. Cronbach's alpha coefficients suggested good internal consistency.

conclusionsThe findings indicate that the TWEETS is a valuable tool for assessing the engagement of patients with hypertension with mHealth devices. Further assessment is needed in various cohorts to confirm the psychometric equivalence of the construct across different groups with hypertension.

Indexed as

Blood PressureHealth Knowledge, Attitudes, PracticeHypertensionPsychometricsTelemedicineAdultAgedAntihypertensive AgentsCross-Sectional StudiesFemaleHumansItalyMaleMiddle AgedPredictive Value of TestsReproducibility of ResultsAntihypertensive AgentsEngagementHypertensionmHealth devicesPsychometric propertiesReliabilityTWEETS

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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.