Determinants of the intention to use mHealth in the future: Evidence from an intervention study of patients with chronic diseases in Slovenia.

BACKGROUND: Mobile health (mHealth) implementation is crucial for developing sustainable healthcare systems, but it faces the challenge of user acceptance. Extending traditional acceptance models allows for the cognitive, emotional and social aspects of engaging with mHealth to be captured, creating a more comprehensive understanding of users' intentions to use it in the future. User-centred intervention studies based on users' real experiences with mHealth are essential for accurate assessments and for improving upon studies that rely merely on anticipated mHealth use. METHODS: An intervention study was conducted with 103 patients with at least one chronic condition (type 2 diabetes and/or arterial hypertension) who had used an mHealth service for three months. They were recruited through purposive sampling at a community health centre in Slovenia. Path analysis was applied to the survey data collected after a three-month testing period to validate an explanatory model with eight hypotheses. RESULTS: The intensity of mHealth use affected usability, which in turn affected acceptability, the psychosocial impacts of engagement with mHealth and intention for future use. The results showed that the intensity of mHealth use did not affect mHealth acceptability. Likewise, acceptability did not affect the psychosocial impacts of engagement with mHealth or the intention for its future use. Notably, perceptions of the psychosocial impacts of mHealth had no significant effect on the intention for future use. CONCLUSION: Usability and intensity of use play a central role in the post-intervention usage of mHealth, offering valuable insights for policymakers and healthcare providers involved in the delivery of mHealth-based treatment to patients with chronic diseases.

An Assessment of the Structural Validity and Measurement Invariance of the Web-Use Skills Scale for Aging Internet Users.

Research on digital inequality has found that aging adults are often at risk of digital exclusion. Understanding the validity of survey measures assessing Internet skills in this population is critical to providing the high-quality data needed for effective digital inclusion policy interventions. This cross-validation study examines the structural validity and measurement invariance (across age, gender, and education groups) of the Web-Use Skills scale (WUS), which is commonly used as a proxy measure of Internet skills. We tested the 14-item version of the WUS. The scale was translated into the Slovenian language and pretested with older Internet users. Data were collected from two independent samples of Internet users aged 50+ years (N1 = 259 and N2 = 256) drawn from an online opt-in panel in Slovenia. The examination of structural validity confirmed that the WUS adequately reflects the one-factor structure of the web-use skills construct, although in a shorter six-item form. Moreover, the analysis confirmed strict measurement invariance between the two samples and, at least, scalar invariance between age, gender, and education groups. The results support the applicability of WUS in cross-group comparisons of Internet skills in the population of aging Internet users and point to several opportunities for future work.

Factors influencing informal carers' acceptance of assistive telecare systems in the pre- and post-implementation phase: A scoping study.

Assistive telecare systems (ATSs) have great potential to be beneficial for informal carers (ICs) providing long-term care to older people (OP). However, little is known about ATS acceptance among ICs. This scoping study aims to investigate various factors that influence the ICs' acceptance of ATSs over time in the pre- and post-implementation phases. A five-stage scoping study was conducted. A systematic search of five bibliographic databases (Science Direct, Scopus, CINAHL, PubMED and Proquest Social Sciences Database) was conducted in September 2020, supplemented by a round of grey literature searches. Using the established selection criteria, 37 publications published between 2000 and September 2020 were included. The data were analysed with Atlas.ti 8 using content-based analysis and a combination of deductive and inductive approaches. The results show that work on understanding acceptance of ATS only gained wider attention after 2010. Seven key factors of ATS acceptance were identified: benefits and concerns about ATS, care situation, the influence of the OP, carer characteristics, perceived need to use and social influence. Several subfactors were also found. The post-intervention acceptance factors were found to be more nuanced than the pre-implementation factors, indicating that first-hand experience with ATSs enabled study participants to provide a more tangible, extensive and in-depth overview of the various ATS acceptance factors. This scoping review is useful for ATS developers, providers, health and social care scholars and practitioners, policy makers and commissioners, all of whom seek to improve and facilitate the provision of long-term care in the community.