The Effectiveness of Mobile Phone Messaging-Based Interventions to Promote Physical Activity in Type 2 Diabetes Mellitus: Systematic Review and Meta-analysis.

BACKGROUND: The prevalence of type 2 diabetes mellitus (T2DM) is increasing worldwide. Physical activity (PA) is an important aspect of self-care and first line management for T2DM. SMS text messaging can be used to support self-management in people with T2DM, but the effectiveness of mobile text message-based interventions in increasing PA is still unclear. OBJECTIVE: This study aims to assess the effectiveness of mobile phone messaging on PA in people with T2DM by summarizing and pooling the findings of previous literature. METHODS: A systematic review was conducted to accomplish this objective. Search sources included 5 bibliographic databases (MEDLINE, Cochrane Library, CINAHL, Web of Science, and Embase), the search engine Google Scholar (Google Inc), and backward and forward reference list checking of the included studies and relevant reviews. A total of 2 reviewers (MA and AA) independently carried out the study selection, data extraction, risk of bias assessment, and quality of evidence evaluation. The results of the included studies were synthesized narratively and statistically, as appropriate. RESULTS: We included 3.8% (6/151) of the retrieved studies. The results of individual studies were contradictory regarding the effectiveness of mobile text messaging on PA. However, a meta-analysis of the results of 5 studies showed no statistically significant effect (P=.16) of text messages on PA in comparison with no intervention. A meta-analysis of the findings of 2 studies showed a nonsignificant effect (P=.14) of text messages on glycemic control. Of the 541 studies, 2 (0.4%) found a nonsignificant effect of text messages on anthropometric measures (weight and BMI). CONCLUSIONS: We could not draw a definitive conclusion regarding the effectiveness of text messaging on PA, glycemic control, weight, or BMI among patients with T2MD, given the limited number of included studies and their high risk of bias. Therefore, there is a need for more high-quality primary studies. TRIAL REGISTRATION: PROSPERO International Prospective Register of Systematic Reviews CRD42020156465; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=156465.

Use of wearables among Multiple Sclerosis patients and healthcare Professionals: A scoping review.

INTRODUCTION: Multiple sclerosis (MS) is an increasingly prevalent chronic, autoimmune, and inflammatory central nervous system illness, whose common symptoms undermine the quality of life of patients and their families. Recent technical breakthroughs potentially offer continuous, reliable, sensitive, and objective remote monitoring solutions for healthcare. Wearables can be useful for evaluating falls, fatigue, sedentary behavior, exercise, and sleep quality in people with MS (PwMS). OBJECTIVE: This scoping review of relevant literature explores studies investigating the perceptions of patients and healthcare professionals (HCPs) about the use of wearable technologies in the management of MS. METHODS: The Joanna Briggs Institute methodology for scoping reviews was used. The search strategy was applied to the databases, MEDLINE via Ovid, Embase, APA PsycInfo, and CINAHL. Further searches were performed in IEEE, Scopus, and Web of Science. The review considered studies reporting quantitative or qualitative data on perceptions and experiences of PwMS and HCPs concerning wearables' usability, satisfaction, barriers, and facilitators. RESULTS: 10 studies were included in this review. Wearables' usefulness and accessibility, ease of use, awareness, and motivational tool potential were patient-perceived facilitators of use. Barriers related to anxiety and frustration, complexity, and the design of wearables. Perceived usefulness and system requirements are identified as facilitators of using wearables by HCPs, while data security concerns and fears of increased workload and limited effectiveness in the care plan are identified as barriers to use wearables. CONCLUSIONS: This review contributes to our understanding of the benefits of wearable technologies in MS by exploring perceptions of both PwMS and HCPs. The scoping review provided a broad overview of facilitators and barriers to wearable use in MS. There is a need for further studies underlined with sound theoretical frameworks to provide a robust evidence-base for the optimal use of wearables to empower healthcare users and providers.

Evolution of Primary Research Studies in Digital Interventions for Mental Well-Being Promotion from 2004 to 2023: A Bibliometric Analysis of Studies on the Web of Science.

Research into digital interventions for mental well-being promotion has grown in recent years, fuelled by the need to improve mental health prevention strategies and respond to challenges arising from the coronavirus (COVID-19) pandemic. This bibliometric analysis provides a structured overview of publication trends and themes in primary research studies reporting an array of digital interventions indexed at WoS from 2004 to 2023. Bibliometric data were collected on a sample of 1117 documents and analysed using the Biblioshiny package. Supplemental network visualisation analysis was conducted using VosViewer. The study, based on Web of Science and Scopus databases, indicates a marked increase in publications post-2020. There were seven groups of research themes clustered around "Mindfulness", "Anxiety", "COVID-19", "Acceptance and Commitment Therapy", "Depression", "Web-based", and "Positive Psychology". Further, results demonstrated the growth of specific themes (e.g., mindfulness, mhealth), the defining impact of COVID-19 studies, and the importance of both randomised controlled trials and formative research. Overall, research in the field is still early in its development and is expected to continue to grow. Findings highlight the field's dynamic response to societal and technological changes, suggesting a future trajectory that leans increasingly on digital platforms for mental health promotion and intervention. Finally, study limitations and implications for future studies are discussed.

TransfOrming Transnational intErcultural sensitivity for Midwifery students through an inclusive mobility model: A mixed-method evaluation of the TOTEMM project.

BACKGROUND: Contemporary midwifery curricula require that student midwives have insight and understanding of global health practice and intercultural sensitivity. The current mobility model excludes large numbers of students from engaging in transnational learning. OBJECTIVES: 1) to evaluate midwifery students' experiences of blended mobility; 2) to investigate if the combination of virtual and physical mobility activities supported development of intercultural sensitivity and soft skills. DESIGN: Multi-centre mixed-methods study. SETTINGS: Four European Higher Education Institutions located in England, Italy, Estonia and The Netherlands. PARTICIPANTS: Sixty-four midwifery students studying in one of the four partner institutions selected as study sites and who participated in the TOTEMM blended mobility scheme took part in the evaluation. METHODS: Data were collected through two online surveys, face-to-face focus groups and learning analytics. Descriptive summary statistical analysis of survey data was undertaken. Focus group discussions were subjected to thematic analysis. Findings from the quantitative survey and qualitative focus groups were merged using a convergent mixed methods approach. Learning Analytics were interpreted as complementary to the above components, to further triangulate the findings. RESULTS: Both virtual and physical components were evaluated positively by students, with high engagement confirmed by learning analytics. A statistically significant increase in the mean of the Total Intercultural Sensitivity Scale score was seen between the pre- and post-mobility surveys, indicating participation in the TOTEMM mobility model was associated with enhanced intercultural sensitivity. Positive effects on confidence, open-mindedness, empathy, interaction and non-judgment were shared by participants. CONCLUSIONS: TOTEMM is an innovative inclusive approach to enable a diverse student group to benefit from transnational learning, including the development of intercultural sensitivity. The TOTEMM blended mobility model has potential for integration into future midwifery curricula and programmes in the four partner settings involved in TOTEMM and utility for the wider European context.

A Pilot Study Evaluating a Virtual Reality-Based Nontechnical Skills Training Application for Urology Trainees: Usability, Acceptability, and Impact.

OBJECTIVE: This study aimed to develop and evaluate a virtual reality (VR)-based nontechnical skills (NTS) training application for urology trainees and assess its effectiveness in improving their skills and confidence. DESIGN: A mixed-methods study was conducted to develop and evaluate a VR-based NTS training application for 32 urology trainees. The development process involved collaboration with 5 urology experts, 2 medical education specialists, and a human factors researcher. The study evaluated the application's usability, acceptability, and efficacy through 3 phases: scenario development with expert feedback integration, storyboarding and creation processes with facilitators and urology trainees, and a final evaluation by trainees. SETTING: The data were collected during a 4-day urology boot camp in October 2022. PARTICIPANTS: Thirty-two urology trainees participated in the study and completed 2 VR scenarios designed to enhance their NTS skills RESULTS: The System Usability Scale (SUS) showed a moderate usability score of 66. The Training Evaluation Inventory (TEI) and additional feedback demonstrated positive effects on trainees' learning and confidence in their NTS abilities. Most participants found the application easy to use, and effective and they expressed interest in using similar VR applications for other aspects of surgical training. CONCLUSIONS: VR-based NTS training applications show potential for enhancing urology trainees' nontechnical skills. The integration of expert feedback and immersive technology offers a promising, accessible, and cost-effective solution to the challenges of delivering NTS training. Future research should explore the long-term impact of VR-based NTS training on trainees' performance and patient outcomes and consider incorporating advanced AI technologies for personalized and dynamic learning experiences.

Bibliometric Analysis of Chatbots in Health-Trend Shifts and Advancements in Artificial Intelligence for Personalized Conversational Agents.

Bibliometric analysis provides a summary for research reported in scientific literature. This can highlight pattens and trends in academic research areas, and assist in research directions. Recent growing requirements for efficient communications and increased user learning needs in the health domain, has instigated mass exploitation of chatbots. 2148 documents were analysed to show a shift in research focus around the year 2016. The rate of documents produced in the last few years is more than the collective 20 year period, and future outputs may soar. The emergence of machine and deep learning technology with chatbot usage suggested research opportunity to be exploited in techniques which embed advanced AI abilities. Key authors still spearhead the research direction but a new wave of outputs will further disperse topics into advanced techniques such as personalised disease detections and sophisticated interface that significantly mask any artificiality to their composition.

The Future of Immersive Technology in Global Surgery Education.

The second wave of immersive reality technology is required that enhances and exploits current applications, empirical evidence and worldwide interest. If this is successful, low- and middle-income countries will have improved access, less costs and reduced practical limitations. Affordability, availability, accessibility and appropriateness are determinates, and help from several innovative areas can achieve these targets. Artificial intelligence will allow autonomous support of trainees to accelerate their skills when interacting on mobile applications, as deep learning algorithms will generate models that identify data and patterns within them and provide feedback much like a human educator. Future immersive content needs to be high quality, tailored to the learners' needs and created with minimal time and expenses. The co-creation process involves the integration of learners into the entire development process and a single learning goal can be identified that will have high reusability to surgical students. Sustainability of the material is ensured in the design stage leading to increased cost-effectiveness benefits. One framework has a proven high impact on the co-design of healthcare resources and is discussed. The connectivity of future immersive technology resources has been a major obstacle between regions in their uptake. A handful of collaboration platforms have been created that can deliver immersive content and experiences; the spearhead in this area will be from augmented reality and telesurgery. Opportunity for powerful, large-scale data culture via blockchain collaboration will be an emerging theme that will also drive towards affordability, availability, accessibility and appropriateness in the future global landscape of immersive technology in surgical education.

Barriers to Incident Reporting among Nurses: A Qualitative Systematic Review.

Incident reporting in health care prevents error recurrence, ultimately improving patient safety. A qualitative systematic review was conducted, aiming to identify barriers to incident reporting among nurses. Joanna Briggs Institute methodology for qualitative systematic reviews was followed, with data extracted using JBI QARI tools, and selected studies assessed for methodological quality using Critical Appraisal Skills Program (CASP). A meta-aggregation synthesis was carried out, and confidence in findings was assessed using GRADE ConQual. A total of 921 records were identified, but only five studies were included. The overall methodological quality of these studies was good and GRADE ConQual assessment score was "moderate." Fear of negative consequences was the most cited barrier to nursing incident reporting. Barriers also included inadequate incident reporting systems and lack of interdisciplinary and interdepartmental cooperation. Lack of nurses' necessary training made it more difficult to understand the importance of incident reporting and the definition of error. Lack of effective feedback and motivation and a pervasive blame culture were also identified.

Effectiveness of Digital Interventions for Deficit-Oriented and Asset-Oriented Psychological Outcomes in the Workplace: A Systematic Review and Narrative Synthesis.

BACKGROUND: Digital psychological interventions can target deficit-oriented and asset-oriented psychological outcomes in the workplace. This review examined: (a) the effectiveness of digital interventions for psychological well-being at work, (b) associations with workplace outcomes, and (c) associations between interventions' effectiveness and their theory-base. METHODS: six electronic databases were searched for randomised controlled trials (RCT) and quasi-experimental studies. The methodological quality of studies that used randomisation was conducted with the "Cochrane Collaboration's Risk of Bias" tool, while the "JBI Critical Appraisal Checklist" was used for non-randomised studies. Studies' theory-base was evaluated using an adaptation of the "theory coding scheme" (TSC). Due to heterogeneity, narrative synthesis was performed. RESULTS: 51 studies were included in a synthesis describing four clusters of digital interventions: (a) cognitive behavioural therapy, (b) stress-management interventions and workplace well-being promotion, (c) meditation training and mindfulness-based interventions, and (d) self-help interventions. Studies demonstrated a high risk of contamination effects and high attrition bias. Theory-informed interventions demonstrated greater effectiveness. Cognitive behavioural therapy demonstrated the most robust evidence for reducing depression symptoms among healthy employees. With the exception of the Headspace application, there was weak evidence for meditation training apps, while relaxation training was a key component of effective stress-management interventions.

Knowledge transfer of eLearning objects: Lessons learned from an intercontinental capacity building project.

BACKGROUND: Effective knowledge transfer of eLearning objects can hasten the adoption and dissemination of technology in teaching and learning. However, challenges exist which hinder inter-organisational knowledge transfer, particularly across continents. The ACoRD project aimed to transfer knowledge on digital learning development from UK/EU (provider) to Malaysian (receiver) higher education institutions (HEIs). This study explores the challenges encountered during the knowledge transfer process and lessons learned. METHODS: This is a qualitative study involving both the knowledge providers and receivers in focus group discussions (n = 25). Four focus group discussions were conducted in the early (n = 2) and mid-phase (n = 2) of the project by trained qualitative researchers using a topic guide designed to explore experiences and activities representing knowledge transfer in multi-institutional and multi-cultural settings. The interviews were audio-recorded, transcribed verbatim, and checked. The transcripts were analysed using thematic analysis. RESULTS: Five main themes emerged from this qualitative study: mismatched expectations between providers and receivers; acquiring new knowledge beyond the professional "comfort zone"; challenges in cascading newly acquired knowledge to colleagues and management; individual and organisational cultural differences; and disruption of knowledge transfer during the COVID-19 pandemic. CONCLUSION: This study highlights the need to create a conducive platform to facilitate continuous, timely and bi-directional needs assessment and feedback; this should be done in the early phase of the knowledge transfer process. The challenges and strategies identified in this study could guide more effective knowledge transfer between organisations and countries.

Repurposing Case-Based Learning to a Conversational Agent for Healthcare Cybersecurity.

A crucial factor for successful cybersecurity education is how information is communicated to learners. Case-based learning of common cybersecurity issues has been shown to improve human behaviour for prevention. However, some delivery methods prevent realistic critical appraisal and reflection of awareness. Conversational agents can scaffold healthcare workers' understanding and promote deterrence strategies. The challenges of repurposing material to create a case-based agent were explored, and the ASPIRE process was modified. Heuristic evaluation from 10 experts in innovative educational technology resulted in the desired outcomes of usability, however Natural Language Understanding improvements were needed. Discussion of best practice when repurposing into conversational agents suggested modification of the ASPIRE process is feasible for future use.

Supporting Healthcare Integration of Refugees Exploiting Reusable Learning Objects: The ASPIRE Framework.

The significant increase of refugees' migration has demonstrated an overwhelming need for their access and integration to healthcare systems. E-learning, especially in the form of experiential digital learning, has been highlighted as an important ally in supporting refugees' health needs. This paper aims to discuss the design and development process of Reusable Learning Objects (RLOs) to enhance digital health applications for refugees and integrate them to healthcare systems. The participatory approach based on the "ASPIRE" framework was followed. Using the "ASPIRE" process, 9 stakeholders were involved in the first phase of the development process, where a co-creation storyboarding workshop was held in Greece by the Medical Physics Laboratory of the Aristotle University of Thessaloniki. Essential qualitative and quantitative feedback was collected from stakeholders through an online questionnaire administered in Google Forms. Overall, enlightening ideas were expressed and all stakeholders commented positively on the value and efficacy of the workshop.

Prioritising topics for developing e-learning resources in healthcare curricula: A comparison between students and educators using a modified Delphi survey.

BACKGROUND: Engaging students in the e-learning development process enhances the effective implementation of e-learning, however, students' priority on the topics for e-learning may differ from that of the educators. This study aims to compare the differences between the students and their educators in prioritising the topics in three healthcare curricula for reusable e-learning object (RLO) development. METHOD: A modified Delphi study was conducted among students and educators from University Malaya (UM), Universiti Putra Malaysia (UPM) and Taylor's University (TU) on three undergraduate programmes. In Round 1, participants were asked to select the topics from the respective syllabi to be developed into RLOs. Priority ranking was determined by using frequencies and proportions. The first quartile of the prioritised topics was included in Round 2 survey, which the participants were asked to rate the level of priority of each topic using a 5-point Likert scale. The mean score of the topics was compared between students and educators. RESULT: A total of 43 educators and 377 students participated in this study. For UM and TU Pharmacy, there was a mismatch in the prioritised topics between the students and educators. For UPM, both the educators and students have prioritised the same topics in both rounds. To harmonise the prioritisation of topics between students and educators for UM and TU Pharmacy, the topics with a higher mean score by both the students and educators were prioritised. CONCLUSION: The mismatch in prioritised topics between students and educators uncovered factors that might influence the prioritisation process. This study highlighted the importance of conducting needs assessment at the beginning of eLearning resources development.

Ethical Considerations for Participatory Health through Social Media: Healthcare Workforce and Policy Maker Perspectives.

OBJECTIVES: To identify the different ethical issues that should be considered in participatory health through social media from different stakeholder perspectives (i.e., patients/service users, health professionals, health information technology (If) professionals, and policy makers) in any healthcare context. METHODS: We implemented a two-round survey composed of open ended questions in the first round, aggregated into a list of ethical issues rated for importance by participants in the second round, to generate a ranked list of possible ethical issues in participatory health based on healthcare professionals' and policy makers' opinions on both their own point of view and their beliefs for other stakeholders' perspectives. RESULTS: Twenty-six individuals responded in the first round of the survey. Multiple ethical issues were identified for each perspective. Data privacy, data security, and digital literacy were common themes in all perspectives. Thirty-three individuals completed the second round of the survey. Data privacy and data security were ranked among the three most important ethical issues in all perspectives. Quality assurance was the most important issue from the healthcare professionals' perspective and the second most important issue from the patients' perspective. Data privacy was the most important consideration for patients/service users. Digital literacy was ranked as the fourth most important issue, except for policy makers' perspective. CONCLUSIONS: Different stakeholders' opinions fairly agreed that there are common ethical issues that should be considered across the four groups (patients, healthcare professionals, health IT professionals, policy makers) such as data privacy, security, and quality assurance.

Students' Perceptions on Chatbots' Potential and Design Characteristics in Healthcare Education.

Chatbots may have the potential to support healthcare education by enabling personalized learning. Trust is a pre-requisite for the users to accept the chatbots. In this study we analyzed students' assignments of the MSc course "User Needs, Requirements Engineering and Evaluation" at Karolinska Institutet, aiming to explore the chatbots' potential in healthcare education and the design characteristics of chatbots that may enhance the trust. The students identified two courses: pharmacology and medical law, that have the potential to leverage chatbots' characteristics. Our analyses on the design characteristics they suggested resulted in: recognition; visibility of system status; anthropomorphism in communication; knowledge expertise, linguistic consistency; realistic interaction. Our results are in line with previous research. Future studies could investigate the educational impact on the learning outcomes and students' satisfaction when interacting with chatbots.

The use of open source and Web2.0 in developing an integrated EHR and e-learning system for the Greek Smoking Cessation Network.

Technologies of information and communication are incrementally integrated with all facets of healthcare practice and education. Although Electronic Health Records (EHRs) have long been used in healthcare the introduction of open source tools has empowered their further expansion of use. Simultaneously the use of Web 2.0 tools has opened up new ways of enhancing both healthcare practice and education. In this paper, we describe our approach towards the development of an integrated system supporting the smoking cessation network initiatives in the Greek public hospitals. The system combines the availability of an open source, web based EHR subsystem, with a Web 2.0 facilitated e-learning component for supporting continuing medical education and promoting public awareness.

The Effectiveness of Digital Interventions for Psychological Well-Being in the Workplace: A Systematic Review Protocol.

OBJECTIVE: Psychological well-being has been associated with desirable individual and organisational outcomes. This systematic review aims to assess the effectiveness of digital interventions for the improvement of psychological well-being and/or the prevention/management of poor mental well-being in the workplace. METHODS: This review protocol is registered in PROSPERO (CRD42019142428). Scientific databases including MEDLINE, Web of Science, CINAHL, PsycINFO, Cochrane Register of Controlled Trials (CENTRAL) and EMBASE will be searched for relevant studies published between January 1990 and July 2019. Studies will be included if they report specific primary and secondary outcomes of digital interventions delivered to adults in the workplace for the improvement of their psychological wellbeing and/or the prevention/management of poor mental well-being and were published in English. Following screening of titles and abstracts, full texts of potentially eligible papers will be screened in duplicate to identify studies that assess the effectiveness of those digital interventions. Discrepancies will be resolved through consensus or by consulting a third reviewer. An integrated narrative synthesis will assess included studies' findings, and a meta-analysis will be performed if included studies appear to be homogeneous. The "Cochrane Collaboration's Risk of Bias" tool and the JBI (Joanna Briggs Institute) Critical Appraisal Checklist for Quasi-Experimental Studies will be used to appraise included studies. CONCLUSION: The results of this work will provide recommendations on the use of digital interventions for the promotion of psychological well-being at work. It will also guide the development of future workplace digital interventions and subsequent primary research in this field.

Setting priorities for EU healthcare workforce IT skills competence improvement.

A major challenge for healthcare quality improvement is the lack of IT skills and knowledge of healthcare workforce, as well as their ambivalent attitudes toward IT. This article identifies and prioritizes actions needed to improve the IT skills of healthcare workforce across the EU. A total of 46 experts, representing different fields of expertise in healthcare and geolocations, systematically listed and scored actions that would improve IT skills among healthcare workforce. The Child Health and Nutrition Research Initiative methodology was used for research priority-setting. The participants evaluated the actions using the following criteria: feasibility, effectiveness, deliverability, and maximum impact on IT skills improvement. The leading priority actions were related to appropriate training, integrating eHealth in curricula, involving healthcare workforce in the eHealth solution development, improving awareness of eHealth, and learning arrangement. As the different professionals' needs are prioritized, healthcare workforce should be actively and continuously included in the development of eHealth solutions.

Artificial Intelligence for Participatory Health: Applications, Impact, and Future Implications.

OBJECTIVE: Artificial intelligence (AI) provides people and professionals working in the field of participatory health informatics an opportunity to derive robust insights from a variety of online sources. The objective of this paper is to identify current state of the art and application areas of AI in the context of participatory health. METHODS: A search was conducted across seven databases (PubMed, Embase, CINAHL, PsychInfo, ACM Digital Library, IEEExplore, and SCOPUS), covering articles published since 2013. Additionally, clinical trials involving AI in participatory health contexts registered at clinicaltrials.gov were collected and analyzed. RESULTS: Twenty-two articles and 12 trials were selected for review. The most common application of AI in participatory health was the secondary analysis of social media data: self-reported data including patient experiences with healthcare facilities, reports of adverse drug reactions, safety and efficacy concerns about over-the-counter medications, and other perspectives on medications. Other application areas included determining which online forum threads required moderator assistance, identifying users who were likely to drop out from a forum, extracting terms used in an online forum to learn its vocabulary, highlighting contextual information that is missing from online questions and answers, and paraphrasing technical medical terms for consumers. CONCLUSIONS: While AI for supporting participatory health is still in its infancy, there are a number of important research priorities that should be considered for the advancement of the field. Further research evaluating the impact of AI in participatory health informatics on the psychosocial wellbeing of individuals would help in facilitating the wider acceptance of AI into the healthcare ecosystem.