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The purpose of this paper is to assess the relationship between elderly people's health literacy skills and those people's decision to make use of digital health service platforms. Despite the substantial influence of digitisation on the delivery of healthcare services, understanding how health intervention strategies might help empower elderly people's health literacy skills is critical.

This paper analyses the existing trends in research on the convergence of health literacy, health intervention programmes and digital health service platforms by reviewing 34 studies published between 2000 and 2020.

The findings of the review indicate three primary themes (health literacy skills, health management competency and attitude/confidence), which provide a summary of the current literature, and in all three the results show that health intervention programmes help to enhance health literacy skills of elderly people. Based on the review results and by organising the fragmented status quo of health intervention research, the authors develop a comprehensive research model and identify future research directions for research in this domain.

The findings will be useful to health professionals in two ways: (1) the findings provide practical information about the growing need to implement health literacy intervention programmes to satisfy elderly people's appetite for accessing health services due to cognitive and physiological impairments, and (2) the finding help them to understand that with digital health platforms, elderly people have quicker access to health services, improving the quality of care provided to them.

This paper presents a comprehensive research model for analysing the impact of health literacy skills on older people's ability and intention to access digital health information sources, considering various health intervention approaches.

Coronavirus disease 2019 is a global public health emergency affecting almost the entire world. The exponential spread of the infection has become a matter of concern. The study aims to determine how well people in India know about COVID-19 outbreak and actions taken to cope up during lockdown.

A total of 5,000 randomly selected participants were sent the survey link, of which 1,526 responded (response rate of 30.5%). The survey was conducted from March 28 till March 31, 2020. The 20-item questionnaire aimed to determine how well people know about COVID-19 outbreak as well as actions taken to cope up during the lockdown. Descriptive statistics were used to summarize the findings.

Participants exhibited good knowledge about the primary and secondary symptoms of COVID-19 and infection spread. Over 95% participants knew preventive measures such as use of masks, sanitizers and hand wash. And, 80% of the participants felt that steps taken by the government are effective, while 93% opined that lockdown would be effective. There was apprehension regarding the infection spread, its containment and age group affected. Over 60% referred the World Health Organization website as their source of information. During the lockdown, participants engaged in home-based exercise (39%) and yoga (28%) for fitness while used social media (64%) and television (63%) for entertainment.

Although participants exhibited good knowledge related to symptoms and preventive measure related to COVID-19, the beliefs related to infection spread and containment need to be addressed. These should be targeted through health promotional campaigns focusing on mental health and home-based physical activities.

This study explored Croatian nursing students' knowledge and attitudes regarding brominated flame retardants (BFRs) as indicators of their predisposition to educate future patients. The purpose of the study was to identify knowledge gaps and barriers and to propose possible remedies.

The cross-sectional survey was conducted on a convenience sample of 114 nursing students at undergraduate and graduate levels from three Croatian universities during the winter semester in the academic year 2018–2019. Descriptive and inferential statistical  analyses were performed using STATISTICA 13 software.

Slightly over half of the students (58.49%) were knowledgeable of BFR health effects and 45.28% showed knowledge about its presence in the environment. Only 33.02% of students identified prenatal exposure effects and 24.53% answered correctly about legislative actions. Participants expressed modest interest in the topic (M = 3.15, SD = 1.35). Although informing the public on the health consequences of BFRs was important to them (M = 4.18, SD = 1.03), they did not perceive health-care providers as primarily responsible for communicating that information.

There is a need to enhance related content in the curriculum to improve students' knowledge. Raising students' awareness regarding the role of nurses in clinical and policy arenas is proposed to facilitate active participation in improving environmental health.

Medical research requires biological material and data collected through biobanks in reliable processes with quality assurance. Medical studies based on data with unknown or questionable quality are useless or even dangerous, as evidenced by recent examples of withdrawn studies. Medical data sets consist of highly sensitive personal data, which has to be protected carefully and is available for research only after the approval of ethics committees. The purpose of this research is to propose an architecture to support researchers to efficiently and effectively identify relevant collections of material and data with documented quality for their research projects while observing strict privacy rules.

Following a design science approach, this paper develops a conceptual model for capturing and relating metadata of medical data in biobanks to support medical research.

This study describes the landscape of biobanks as federated medical data lakes such as the collections of samples and their annotations in the European federation of biobanks (Biobanking and Biomolecular Resources Research Infrastructure – European Research Infrastructure Consortium, BBMRI-ERIC) and develops a conceptual model capturing schema information with quality annotation. This paper discusses the quality dimensions for data sets for medical research in-depth and proposes representations of both the metadata and data quality documentation with the aim to support researchers to effectively and efficiently identify suitable data sets for medical studies.

This novel conceptual model for metadata for medical data lakes has a unique focus on the high privacy requirements of the data sets contained in medical data lakes and also stands out in the detailed representation of data quality and metadata quality of medical data sets.