Engaging nursing students with a behaviour change intervention designed to improve their lifestyle.

BACKGROUND: In common with the general population, nursing students struggle to live a healthy lifestyle. AIMS: To recruit students in a behaviour change intervention, using the COM-B model of behaviour change to understand engagement. METHODS: Nursing students were invited to complete an online survey assessing height, weight, BMI, physical activity, lifestyle satisfaction, motivation for leading a healthy life, and quality of life. Those identified as overweight or not physically active were offered a webinar and social media site to support setting personal goals and boosting motivation to achieve a healthy lifestyle. FINDINGS: 25% of invited students engaged with the interventions, 19% attending a webinar and 19% joining the social media site. No statistically reliable differences between those who engaged and those who did not were identified. CONCLUSION: Current models of behaviour change do not predict engagement. Interventions may need to be integrated into the curriculum to elicit change.

Patient and Public Willingness to Share Personal Health Data for Third-Party or Secondary Uses: Systematic Review.

BACKGROUND: International advances in information communication, eHealth, and other digital health technologies have led to significant expansions in the collection and analysis of personal health data. However, following a series of high-profile data sharing scandals and the emergence of COVID-19, critical exploration of public willingness to share personal health data remains limited, particularly for third-party or secondary uses. OBJECTIVE: This systematic review aims to explore factors that affect public willingness to share personal health data for third-party or secondary uses. METHODS: A systematic search of 6 databases (MEDLINE, Embase, PsycINFO, CINAHL, Scopus, and SocINDEX) was conducted with review findings analyzed using inductive-thematic analysis and synthesized using a narrative approach. RESULTS: Of the 13,949 papers identified, 135 were included. Factors most commonly identified as a barrier to data sharing from a public perspective included data privacy, security, and management concerns. Other factors found to influence willingness to share personal health data included the type of data being collected (ie, perceived sensitivity); the type of user requesting their data to be shared, including their perceived motivation, profit prioritization, and ability to directly impact patient care; trust in the data user, as well as in associated processes, often established through individual choice and control over what data are shared with whom, when, and for how long, supported by appropriate models of dynamic consent; the presence of a feedback loop; and clearly articulated benefits or issue relevance including valued incentivization and compensation at both an individual and collective or societal level. CONCLUSIONS: There is general, yet conditional public support for sharing personal health data for third-party or secondary use. Clarity, transparency, and individual control over who has access to what data, when, and for how long are widely regarded as essential prerequisites for public data sharing support. Individual levels of control and choice need to operate within the auspices of assured data privacy and security processes, underpinned by dynamic and responsive models of consent that prioritize individual or collective benefits over and above commercial gain. Failure to understand, design, and refine data sharing approaches in response to changeable patient preferences will only jeopardize the tangible benefits of data sharing practices being fully realized.

Attitudes Toward Personal Health Data Sharing Among People Living With Sickle Cell Disorder, Exemplar for Study of Rare Disease Populations.

Purpose: Rare conditions are often poorly understood, creating barriers in determining the value treatments can provide. This study explored barriers and facilitators to personal health data sharing among those with one particular group of rare hematologic disorders, ie, sickle cell disorder (SCD) and its variants. Methods: A single online focus group among those >18 years of age and living with SCD was conducted. Participants (N=25) were recruited through a United Kingdom-based SCD charity. Discussions were transcribed verbatim, with data therein analyzed using inductive thematic analysis. Results: Five primary motivators for sharing health data were identified: improving awareness; knowing this would help others; evidencing impact; financial incentives; and being recognized as "experts with lived experience" rather than "specimens to be studied." Barriers included lack of clarity regarding "why" data was sought and "who" benefited. Participants stated that electronic health record (EHR) and genetic data were often "too detailed" and therefore "off limits" for sharing. However, experiences, mindset, and well-being data, often hidden from the EHR, were acceptable to share and considered a better barometer of how rare conditions treat patients day-to-day. Conclusions: Utilizing patient experience data obtained under real-world conditions is key to painting the most accurate picture of needs and understanding how SCD impacts patients' day-to-day lives. Study findings suggest that patients with SCD are not merely passive providers of health data, but rather experts by experience. To appreciate the value that patient perspectives bring, we must revisit this status quo, amending our approach to patient centricity and reframing patients as high-value managers of their condition and personal health data who crucially decide what, how, and when they share it.

The Role of Health Kiosks: Scoping Review.

BACKGROUND: Health kiosks are publicly accessible computing devices that provide access to services, including health information provision, clinical measurement collection, patient self-check-in, telemonitoring, and teleconsultation. Although the increase in internet access and ownership of smart personal devices could make kiosks redundant, recent reports have predicted that the market will continue to grow. OBJECTIVE: We seek to clarify the current and future roles of health kiosks by investigating the settings, roles, and clinical domains in which kiosks are used; whether usability evaluations of health kiosks are being reported, and if so, what methods are being used; and what the barriers and facilitators are for the deployment of kiosks. METHODS: We conducted a scoping review using a bibliographic search of Google Scholar, PubMed, and Web of Science databases for studies and other publications between January 2009 and June 2020. Eligible papers described the implementation as primary studies, systematic reviews, or news and feature articles. Additional reports were obtained by manual searching and querying the key informants. For each article, we abstracted settings, purposes, health domains, whether the kiosk was opportunistic or integrated with a clinical pathway, and whether the kiosk included usability testing. We then summarized the data in frequency tables. RESULTS: A total of 141 articles were included, of which 134 (95%) were primary studies, and 7 (5%) were reviews. Approximately 47% (63/134) of the primary studies described kiosks in secondary care settings. Other settings included community (32/134, 23.9%), primary care (24/134, 17.9%), and pharmacies (8/134, 6%). The most common roles of the health kiosks were providing health information (47/134, 35.1%), taking clinical measurements (28/134, 20.9%), screening (17/134, 12.7%), telehealth (11/134, 8.2%), and patient registration (8/134, 6.0%). The 5 most frequent health domains were multiple conditions (33/134, 24.6%), HIV (10/134, 7.5%), hypertension (10/134, 7.5%), pediatric injuries (7/134, 5.2%), health and well-being (6/134, 4.5%), and drug monitoring (6/134, 4.5%). Kiosks were integrated into the clinical pathway in 70.1% (94/134) of studies, opportunistic kiosks accounted for 23.9% (32/134) of studies, and in 6% (8/134) of studies, kiosks were used in both. Usability evaluations of kiosks were reported in 20.1% (27/134) of papers. Barriers (e.g., use of expensive proprietary software) and enablers (e.g., handling of on-demand consultations) of deploying health kiosks were identified. CONCLUSIONS: Health kiosks still play a vital role in the health care system, including collecting clinical measurements and providing access to web-based health services and information to those with little or no digital literacy skills and others without personal internet access. We identified research gaps, such as training needs for teleconsultations and scant reporting on usability evaluation methods.

Exploring barriers, motivators and solutions to achieve a healthy lifestyle among undergraduate student nurses.

BACKGROUND: Many preregistration student nurses tend to be overweight or obese and have unhealthy lifestyles. AIMS: This study aimed to quantify the prevalence of these issues, to identify barriers to adopting a healthy lifestyle as well as potential solutions, and to explore the use of smartphone health apps. METHODS: An online questionnaire examined diet and physical activity habits, general health and attitudes to eHealth. An in-class questionnaire with a new sample assessed current lifestyle, barriers to healthier living, support needed to achieve goals and the use of health apps. FINDINGS: Half of student nurses were overweight or obese and only 41% met the recommended levels of physical activity. An in-class questionnaire revealed that more than half of them wanted to have a better diet and to exercise more. CONCLUSION: Generally, student nurses were not satisfied with their current lifestyles. A lack of motivation and time were the most frequently reported barriers; an intervention focusing on motivational support could be an acceptable and effective means of achieving and sustaining positive behaviour change.