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Taking a business lens of telehealth, this article aims to review and provide a state-of-the-art overview of telehealth research.

This research conducts a systematic literature review using the scientific procedures and rationales for systematic literature reviews (SPAR-4-SLR) protocol and a collection of bibliometric analytical techniques (i.e. performance analysis, keyword co-occurrence, keyword clustering and content analysis).

Using performance analysis, this article unpacks the publication trend and the top contributing journals, authors, institutions and regions of telehealth research. Using keyword co-occurrence and keyword clustering, this article reveals 10 major themes underpinning the intellectual structure of telehealth research: design and development of personal health record systems, health information technology (HIT) for public health management, perceived service quality among mobile health (m-health) users, paradoxes of virtual care versus in-person visits, Internet of things (IoT) in healthcare, guidelines for e-health practices and services, telemonitoring of life-threatening diseases, change management strategy for telehealth adoption, knowledge management of innovations in telehealth and technology management of telemedicine services. The article proposes directions for future research that can enrich our understanding of telehealth services.

This article offers a seminal state-of-the-art overview of the performance and intellectual structure of telehealth research from a business perspective.

Mental health care in England has been subject to a great deal of scrutiny in recent years for its equality of access, experience and outcome. Five years of the Delivering Race Equality programme produced momentum, learning and improvements. It is clear, though, that efforts need to consider a continuous quality improvement approach and consciously use all new initiatives to further drive more equal services. A current initiative in England is the care clusters model for mental health, along with associated moves to commission services on a payment by results basis. This paper examines these developments and the possible implications for supporting greater equality in mental health care.

Generally, food intake of older consumers is not in line with dietary guidelines. Insight into personal health-related motive orientations (HRMO) in this target group is useful for developing tailored interventions that support healthy food consumption, a better understanding is needed. The purpose of this paper is twofold: first, to identify older consumer groups based on HRMO; and second, to compare their consumption of different food groups and functionalities associated with a main meal.

An online survey was filled out by 459 Dutch adults aged 55–90 years (mean age=68.2 years), of the Sento network including 800 vital community-dwelling older consumers.

Analysis revealed five clusters of older adults with different HRMO profiles: appearance and achievement oriented, active oriented, altruistic oriented, achievement oriented and less health oriented. In addition, these segments differ in importance of functionalities associated with a main meal, i.e., physical, pleasure or rewarding, and in the consumption of specific food groups, i.e., unprocessed meat, meat replacers and unsalted nuts.

Recommendations for interventions and communication strategies to support healthy food consumption in the different HRMO segments are presented.

This exploration showed that different segments of Dutch older adults can be identified based on HRMO. Between these segments there are differences in consumption of protein-rich food groups and functionalities associated with a main meal.

More tailored interventions and campaigns are needed to increase fruit and vegetable consumption to recommended levels. The purpose of this paper is to explore which consumer groups exist based on both their fruit and vegetable consumption level and their health-related motive orientations (HRMO), and to compare the revealed consumer clusters regarding their fruit and vegetable product attribute importance.

In the Netherlands an online panel survey was carried out resulting in 1,296 respondents. The clusters based on HRMO and fruit and vegetable intake are profiled with respect to demographics and product attribute importance.

Cluster analysis revealed six homogeneous consumer clusters with different HRMO and fruit and vegetable consumption levels. In addition, these clusters show a different socio-demographic profile and differ in their importance ratings of fruit and vegetable product attributes.

The results show that health is a multidimensional construct suggesting that there is a need for addressing health in interventions and campaigns in a more tailored approach.

This study shows that the combination of both usage- and psychographic segmentation variables provide valuable and interesting information that give insights in addressing different target groups. Moreover, this study elaborates on previous research by showing that health is a multidimensional construct and that Dutch consumers differ in their HRMO.

Due to the international paucity of empirical evidence, this study aimed to investigate the health metrics and lifestyle behaviours of a staff cohort in a higher education institution (HEI) in Ireland.

Data were collected from 279 (16.4% response rate) HEI staff (academic, management, clerical/support), via a web-based health questionnaire that incorporated validated measures such as the Mental Health Index-5, Energy and Vitality Index, Cohen's Perceived Stress Scale (short form) and the AUDIT-C drinking subscale. A cluster analytical procedure was used to examine the presence of distinct clusters of individuals exhibiting either optimal or sub-optimal health behaviours.

A multitude of concerning patterns were identified including poor anthropometric profiles (64.4% of males overweight/obese), excessive occupational sitting time (67.8% of females sitting for = 4 h per day), hazardous drinking among younger staff (38.2% of 18–34 year olds), sub-optimal sleep duration on weeknights (82.2% less than 8 h), less favourable mean psychometric indices than the general Irish population, and insufficient fruit and vegetable intake (62.1% reporting <5 daily servings). Cluster analysis revealed “Healthy lifestyle” individuals exhibited significantly lower BMI values, lower stress levels and reported fewer days absent from work compared to those with a “Sub-optimal lifestyle”.

In contrast to the abundance of research pertaining to student cohorts, the current study is the first to examine the clustering of health-related variables in a cohort of HEI staff in Ireland. Findings will be used to inform policy at the host institution and will be of broader interest to higher education stakeholders elsewhere. Future longitudinal studies are required to monitor the health challenges experienced by this influential, yet under-researched cohort.

This paper aims to critically examine the care clusters descriptors now being introduced in mental health care in England and to discuss them in the context of trying to further approaches to co‐production (and related concepts), and social inclusion and recovery. The paper seeks to introduce a revised set of cluster descriptors that are more lay friendly and that, hence, would be likely to encourage more service user engagement in care.

The care cluster descriptors are critically examined within the context of desires to engage service users in care and encourage staff to explicitly consider individual strengths as well as needs, i.e. co‐production of care between active service users and providers.

The implementation of care clusters and the development of new organisations of care based on these present opportunities to further develop in progressive ways how care is planned and developed. The cluster descriptors, however, are not an ideal basis for this. Being designed for one purpose the descriptors do not encourage thinking about individual strengths nor are they very lay friendly. They are not seen as an ideal basis for more actively engaging individuals in the planning and organisation of their care packages. Hence, revised descriptors felt to be more suited to this are presented.

Furthering more recovery oriented and socially inclusive practice in mental health care requires that each part of the system encourages all individuals involved to think in these ways. As the starting point for thinking about care, it is essential that cluster descriptors also work in this way. Services need to consider how the existing cluster descriptors impact on how individual care is thought of and delivered and consider using revised ones for some purposes, especially for engaging individuals in their care.

The care clusters being introduced in mental health care in England need to support progressive developments in care. This is the first time the cluster descriptors have been critiqued from the perspectives of recovery orientation and co‐production.

With care clusters an established framework for mental health services it is timely to consider how to use them to deliver high quality, evidence based care that is socially inclusive and recovery oriented. This paper aims to describe conceptual thinking about these issues, specifically in relation to the challenges and balances inherent in the care packages approach. It seeks to describe work to develop an internet based, high‐level description of such packages for each care cluster.

The background to the project is described, along with a discussion of the conceptual and practice issues behind the work.

With mental health care now trying to make sense of local services in terms of care clusters the authors offer a high‐level framework to help people in this sensemaking. Coherent, socially inclusive and recovery oriented packages are set out on the website.

The work discussed in the article is highly innovative, being the first systematic attempt to provide evidence‐based, high‐level care packages for the care clusters model. Hence, a limitation is the challenge remaining to operationalise the work to real world care contexts.

The website sets out a framework to help local services and commissioners plan and organise their services, drawing on the best guidance and evidence and developing care packages on the basis of the right ethos of care.

In moving to services fully commissioned and organised around the care clusters model, there remain major conceptual and practice challenges to address including operationalising evidence‐based care packages and means of flexibly delivering individual care.

This is the first view of socially inclusive packages for each of the care clusters that also draw together the best of guidance and standards of care.

This study was carried out to examine the volume and annual growth pattern of research on e-health literacy research, investigate the open-access types of e-health literacy research and perform document production by country and by sources. The study also mapped the keywords used by authors to represent e-health literacy research and performed an analysis of the clusters of the keywords to reveal the thematic focus of research in the area.

The research was guided by a bibliometric approach involving visualization using VosViewer. Data were sourced from Scopus database using a syntax that was tested and verified to be capable of yielding reliable data on the subject matter. The analysis in this study was based on bibliographic data and keywords.

A total number of 1,176 documents were produced during 2006 and 2022. The majority of the documents (18.90%) were published based on hybrid open-access processes, and the USA has the highest contributions. The Journal of Medical Internet Research is the venue for most of the documents on the subject. The 1,176 documents were described by 5,047 keywords, 4.29 keywords per document, and the keywords were classified into five clusters that aptly capture the thematic structure of research in the area.

e-Health literacy has experienced significant growth in research production from 2006 to 2022, with an average of 69 documents per year. Research on e-health literacy initially had low output but began to increase in 2018. The majority of e-health literacy documents are available through open access, with the USA being the leading contributor. The analysis of keywords reveals the multifaceted nature of e-health literacy, including access to information, attitudes, measurement tools, awareness, age factors and communication. Clusters of keywords highlight different aspects of e-health literacy research, such as accessibility, attitudes, awareness, measurement tools and the importance of age, cancer, caregivers and effective communication in healthcare.

This study has practical implications for health promotion. There is also the element of patient empowerment in which case patients are allowed to take an active role in their healthcare. By understanding their health information and having access to resources that help them manage their conditions, patients can make informed decisions about their healthcare. Finally, there is the issue of improved health outcomes which can be achieved by improving patients' e-health literacy. Visualisation of e-health literacy can help bridge the gap between patients and healthcare providers, promote patient-centered care and improve health outcomes.

Research production on e-Health literacy has experienced significant growth from 2006 to 2022, with an average of 69 documents per year. Many e-health literacy documents are available through open access, and the USA is the leading contributor. The analysis of keywords reveals the nature of e-health literacy, including access to information, attitudes, measurement tools, awareness and communication. The clusters of keywords highlight different aspects of e-health literacy research, such as accessibility, attitudes, awareness, measurement tools and the importance of age, cancer, caregivers, and effective communication in healthcare.

The purpose of this study for eHealth text mining domains, cosine-based visual methods (VM) assess the clusters more accurately than Euclidean; which are recommended for tweet data models for clusters assessment. Such VM determines the clusters concerning a single viewpoint or none, which are less informative. Multi-viewpoints (MVP) were used for addressing the more informative clusters assessment of health-care tweet documents and to demonstrate visual analysis of cluster tendency.

In this paper, the authors proposed MVP-based VM by using traditional topic models with visual techniques to find cluster tendency, partitioning for cluster validity to propose health-care recommendations based on tweets. The authors demonstrated the effectiveness of proposed methods on different real-time Twitter health-care data sets in the experimental study. The authors also did a comparative analysis of proposed models with existing visual assessment tendency (VAT) and cVAT models by using cluster validity indices and computational complexities; the examples suggest that MVP VM were more informative.

In this paper, the authors proposed MVP-based VM by using traditional topic models with visual techniques to find cluster tendency, partitioning for cluster validity to propose health-care recommendations based on tweets.

In this paper, the authors proposed multi-viewpoints distance metric in topic model cluster tendency for the first time and visual representation using VAT images using hybrid topic models to find cluster tendency, partitioning for cluster validity to propose health-care recommendations based on tweets.

Wine, fruits, vegetables and whole grains are the main products of a healthy diet. The purpose of this paper is to scrutinize the existence of an interesting and evocative bond among moderate intake of wine, health and well-being.

By means of a fuzzy cluster analysis, the authors try to investigate the existence of groups of regions similar in wine consumption, subjective well-being, health and social relations. The latter are expressed through composite indicators, built and developed by Istat within the Italy ESW project’s activities (equitable and sustainable well-being). The analysis also investigates how this link has evolved over time. Data are related to refer to the situations in 2010 and 2017 in 21 regions of Italy.

Results obtained in 2010 seem to confirm the hypothesis of the existence of a link among moderate wine consumption, hedonism well-being and health, and in addition, findings highlight the so-called North‒South gap, that is the strong differences and economic issues among the different areas of the country. Then, outcomes obtained for 2017 appear in line with 2010 results.

Several authors from medicine, economics and chemistry domain strongly suggest and demonstrate that regular and moderate intake of wine reduces the incidence of heart disease, diabetes mellitus and hormonal problems, and correlatively increases longevity. In this work, the authors develop further research step including the aspects related to personal well-being and social relations under the umbrella of a hedonism approach. Finally, results highlight the existence of an amazing tie among moderate intake of wine consumption, well-being and health.