UNASSIGNED: Libraries provide access to databases with auto-cite features embedded into the services; however, the accuracy of these auto-cite buttons is not very high in humanities and social sciences databases.
UNASSIGNED: This case compares two biomedical databases, Ovid MEDLINE and PubMed, to see if either is reliable enough to confidently recommend to students for use when writing papers. A total of 60 citations were assessed, 30 citations from each citation generator, based on the top 30 articles in PubMed from 2010 to 2020.
UNASSIGNED: Error rates were higher in Ovid MEDLINE than PubMed but neither database platform provided error-free references. The auto-cite tools were not reliable. Zero of the 60 citations examined were 100% correct. Librarians should continue to advise students not to rely solely upon citation generators in these biomedical databases.

BACKGROUND: E-pharmacy has gained popularity as an increasingly utilized platform for accessing healthcare services online. However, its adoption exhibits regional variations and necessitates improvement in certain aspects. Guided by the Theory of Reasoned Action (TRA) and Trust theory, this research explores the pivotal role of information literacy in influencing attitudes, perceived control, word of mouth, and trust. The overarching aim is to understand how these factors collectively impact the adoption of E-pharmacy services.
METHODS: The study employed Structural Equation Modeling to assess data collected from 473 participants in Nigeria. This methodology allowed for a comprehensive evaluation of the intricate relationships between information literacy, attitudes, perceived control, word of mouth, trust, and E-pharmacy adoption. By utilizing statistical tests within this framework, the research sought to provide a robust analysis of the data and derive meaningful insights.
RESULTS: The findings of the research underscore the significance of information literacy in shaping individuals\' attitudes towards E-pharmacy. Higher information literacy levels were associated with more positive attitudes, an enhanced sense of perceived control, and increased positive word-of-mouth regarding the use of E-pharmacy services. Additionally, the study revealed that trust plays a crucial intermediary role between word-of-mouth communication and the actual adoption of E-pharmacy.
CONCLUSIONS: In summary, this research offers a novel and comprehensive explanation of the relationship between information literacy and the adoption of E-pharmacy services. The study\'s outcomes contribute valuable insights to the ongoing discourse on E-pharmacy adoption, emphasizing its potential to enhance healthcare accessibility and efficiency within the evolving landscape of digital healthcare. The implications of the findings extend to policymakers, healthcare providers, and other stakeholders interested in optimizing the adoption and integration of E-pharmacy services.

UNASSIGNED: Many patients use artificial intelligence (AI) chatbots as a rapid source of health information. This raises important questions about the reliability and effectiveness of AI chatbots in delivering accurate and understandable information.
UNASSIGNED: To evaluate and compare the accuracy, conciseness, and readability of responses from OpenAI ChatGPT-4 and Google Bard to patient inquiries concerning the novel 177Lu-PSMA-617 therapy for prostate cancer.
UNASSIGNED: Two experts listed the 12 most commonly asked questions by patients on 177Lu-PSMA-617 therapy. These twelve questions were prompted to OpenAI ChatGPT-4 and Google Bard. AI-generated responses were distributed using an online survey platform (Qualtrics) and blindly rated by eight experts. The performances of the AI chatbots were evaluated and compared across three domains: accuracy, conciseness, and readability. Additionally, potential safety concerns associated with AI-generated answers were also examined. The Mann-Whitney U and chi-square tests were utilized to compare the performances of AI chatbots.
UNASSIGNED: Eight experts participated in the survey, evaluating 12 AI-generated responses across the three domains of accuracy, conciseness, and readability, resulting in 96 assessments (12 responses x 8 experts) for each domain per chatbot. ChatGPT-4 provided more accurate answers than Bard (2.95 ± 0.671 vs 2.73 ± 0.732, p=0.027). Bard\'s responses had better readability than ChatGPT-4 (2.79 ± 0.408 vs 2.94 ± 0.243, p=0.003). Both ChatGPT-4 and Bard achieved comparable conciseness scores (3.14 ± 0.659 vs 3.11 ± 0.679, p=0.798). Experts categorized the AI-generated responses as incorrect or partially correct at a rate of 16.6% for ChatGPT-4 and 29.1% for Bard. Bard\'s answers contained significantly more misleading information than those of ChatGPT-4 (p = 0.039).
UNASSIGNED: AI chatbots have gained significant attention, and their performance is continuously improving. Nonetheless, these technologies still need further improvements to be considered reliable and credible sources for patients seeking medical information on 177Lu-PSMA-617 therapy.

In the rapidly evolving landscape of modern healthcare, nurses must proficiently navigate data utilization and grasp the principles of data science. Despite this urgency, nursing stakeholders currently do not fully understand the extent of data literacy or data science literacy they need to acquire. This paper aims to elucidate the distinctions between data literacy and data science literacy, offering insights into strategies for nurturing these competencies within nursing education, research, and practice. Through a state-of-the-art review of 22 articles and six healthcare industry resources, we identified a notable absence of comprehensive frameworks and assessment tools, highlighting key areas for future development.

Digitalization in healthcare and the increasing availability of data demand data literacy competences of nurses and other healthcare professionals including technical, ethical and communication skills. The international Spring School 2023 \"Information in Healthcare - From Date to Knowledge\" aimed at these competences covering interoperability, data protection and security, data analytics and ethical issues. These topics were embedded in the overall case of data-driven quality improvement for diabetes patients in a region. The curriculum includes an online preparation-phase and a five-days attendance week, incorporating problem-based and group work approaches. According to the studentt\'s evaluation, the awareness of the importance of the topics was raised and theoretical as well as practical application skills were improved. The Spring School enhanced data literacy competences, critical thinking, problem-solving, interprofessional und intercultural skills among healthcare professionals. Such course offering can contribute to meeting the increasing challenges of digitalization in healthcare.

BACKGROUND: The safety of medication use among older adults is a growing concern, given the aging population. Despite widespread attention, the exploration of medication literacy in older adults, particularly from the perspective of information literacy, is in its nascent stages.
METHODS: This study utilized the existing literature to define medication information literacy (MIL) as a theoretical framework. A two-round Delphi survey was conducted to identify the essential components of a MIL indicator system for older adults. The analytic hierarchy process (AHP) was then used to assign weights to each indicator.
RESULTS: The study observed relatively high response rates in both rounds of the questionnaire, which, along with expert authority coefficients (Cr) of 0.86 and 0.89, underscores the credibility and expertise of the panellists. Additionally, Kendall\'s coefficient of concordance (Kendall\'s W) ranging from 0.157 to 0.33 (p < 0.05) indicates a consensus among experts on the identified indicators. Utilizing the Delphi process, a MIL indicator system for older adults was developed, comprising five primary and 23 secondary indicators. These indicators were weighted, with medication information cognition and acquisition emerging as pivotal factors in enhancing medication literacy among older adults.
CONCLUSIONS: This study developed a MIL indicator system tailored for older adults using the Delphi approach. The findings can inform healthcare professionals in providing customized medication guidance and assist policymakers in crafting policies to enhance medication safety among older adults.
UNASSIGNED: Patient and public engagement played a pivotal role in the development of our medication information literacy indicator system for older adults. Their involvement contributed to shaping research questions, facilitating study participation, and enriching evidence interpretation. Collaborations with experts in geriatric nursing, medicine, and public health, along with discussions with caregivers and individuals with lived experience, provided invaluable insights into medication management among older adults. Their input guided our research direction and ensured the relevance and comprehensiveness of our findings.

BACKGROUND: The learning health system (LHS) concept is a potential solution to the challenges currently faced by primary care. There are few descriptions of the barriers and facilitators to achieving an LHS in general practice, and even fewer that are underpinned by implementation science. This study aimed to describe the barriers and facilitators to achieving an LHS in primary care and provide practical recommendations for general practices on their journey towards an LHS.
METHODS: This study is a secondary data analysis from a qualitative investigation of an LHS in a university-based general practice in Sydney, Australia. A framework analysis was conducted using transcripts from semistructured interviews with clinic staff. Data were coded according to the theoretical domains framework, and then to an LHS framework.
RESULTS: 91% (n=32) of practice staff were interviewed, comprising general practitioners (n=15), practice nurses (n=3), administrative staff (n=13) and a psychologist. Participants reported that the practice alignment with LHS principles was influenced by many behavioural determinants, some of which were applicable to healthcare in general, for example, some staff lacked knowledge about practice policies and skills in using software. However, many were specific to the general practice environment, for example, the environmental context of general practice meant that administrative staff were an integral part of the LHS, particularly in facilitating partnerships with patients.
CONCLUSIONS: The LHS journey in general practice is influenced by several factors. Mapping the LHS domains in relation to the theoretical domains framework can be used to generate a roadmap to hasten the journey towards LHS in primary care settings.

BACKGROUND: Clinical belonging refers to the feeling that clinical medical staff feel recognized and accepted by others or groups. The level of clinical belonging of nursing interns affects students\' learning motivation and confidence, which in turn affects their clinical practice behavior.
OBJECTIVE: To explore the effects of professional identity and nursing information ability on clinical belonging among nursing interns and establish a relationship model for these factors.
METHODS: The researchers used the convenience sampling method to select 682 nursing interns from China. The survey was conducted using a general information questionnaire, clinical sense of belonging scale, nursing information ability self-assessment scale, and a nursing student professional identity questionnaire. The mediating effect of nursing information ability between their professional identity and clinical sense of belonging was analyzed using SPSS 21.0 and the path analysis in structural equation modeling.
RESULTS: The total scores of clinical belonging, professional identity, and nursing information ability of nursing interns were (104.29 ± 13.11) points, (57.89 ± 7.16) points, and (70.29 ± 6.20) points, respectively. Nursing information ability had a direct effect on the clinical sense of belonging (effect value = 0.46, P < 0.05). Occupational identity had a direct effect (effect value = 0.52, P < 0.05) and an indirect effect (effect value = 0.21, P < 0.05) on clinical belonging.
CONCLUSIONS: Nursing administrators in nursing colleges and hospitals should take effective measures to improve the professional identity and nursing information ability of nursing interns, as well as the clinical sense of belonging among nursing interns.

BACKGROUND: Clinicians\' information-seeking behaviours impact patient care quality. Earlier studies indicated that barriers to accessing information deter clinicians from seeking answers to clinical questions.
OBJECTIVE: To explore primary care clinicians\' information-seeking behaviour at point-of-care, focusing on when and how they seek answers to clinical questions.
METHODS: Semi-structured interviews were conducted with 45 clinicians after clinical sessions to investigate their information-seeking habits. Follow-up interviews were conducted after a week for those intending to address unanswered queries.
RESULTS: Two thirds of clinicians encountered questions during care, with nearly three quarters resolving them during the session. Colleagues, guidelines and online platforms were common information sources, with smartphones being used to access Google, WhatsApp or UpToDate®. Facilitators included reliable sources and the drive to confirm knowledge, while barriers included ineffective search methods and high workload. Despite challenges, most clinicians expressed satisfaction with their information-seeking process.
CONCLUSIONS: The findings underscore the increasing use of smartphones for accessing clinical information among Singaporean primary care clinicians and suggest the need for tailored training programmes and guidelines to optimise information-seeking practices.
CONCLUSIONS: Insights from this study can inform the development of training programmes and guidelines aimed at improving information-seeking practices among primary care clinicians, potentially enhancing patient care quality.

From a bidirectional perspective, the present cross-sectional study explored the impacts of parent-child separation on the digital literacy of children and adolescents. Drawing upon data from 1894 students (12-18 years, 49.33 % females) in Nanling county, China, we found that parent-child separation can negatively affect the digital literacy of children and adolescents, but effects differ between children experiencing parental migration or parental divorce. Parental mediation can act as a mediator in this process while children\'s digital feedback to parents may be considered as an auxiliary promoter. To further promote the digital literacy of children and adolescents experiencing parent-child separation, assigned tasks from adults in which children can practice knowledge and skills related to digital devices and the Internet are recommended.