BACKGROUND: Designing effective health interventions and evaluating their impact is crucial to improving the health of the population. To ensure interventions are of high quality and effective, evidence-based research is essential, particularly studies that use randomised controlled trials (RCTs) or systematic reviews. However, RCTs may not be feasible or ethical in certain situations, such as in intensive care units. Cluster or stepped-wedge RCTs are alternative ways to assess interventions that also address these ethical concerns.
OBJECTIVE: To explain the stepped-wedge design and its main features as well as how to use it to evaluate nursing interventions.
CONCLUSIONS: Understanding stepped-wedge designs empowers nurses to implement evidence-based interventions and improve patient outcomes. The use of stepped-wedge designs has increased in nursing research over the past two decades, indicating growing recognition of its advantages: efficient evaluation of healthcare interventions, ensuring all clusters receive treatment over time; smaller sample sizes; ethical considerations; and time control. However, challenges remain: ensuring nurse researchers\' understanding and application of it is consistent, extended duration and logistical complexities. Methodological rigour, collaboration and understanding of secular trends are crucial, and nurses\' involvement in RCTs enhances cluster selection, data collection and dissemination.
CONCLUSIONS: The stepped-wedge design offers an ethical and adaptable method for studying interventions, considering healthcare complexities and allocating resources. Its versatility assists the advancement of nursing care delivery and in promoting evidence-based practice.
CONCLUSIONS: Understanding stepped-wedge designs in nursing practice enhances evidence-based care, decision-making, collaboration and professional development, benefiting patient outcomes.

BACKGROUND: SMS texting systems have been considered a potential solution to reduce missed appointments in primary care. Existing research in this area focuses on qualitative studies investigating the attitudes of SMS text users and receivers.
OBJECTIVE: This study aimed to examine appointment data from an independent general practitioner (GP) surgery in Wrexham, United Kingdom, with approximately 15,000 patients, to determine the impact of text messaging systems on reducing missed appointments. The objective of this study was to investigate whether the use of text messages can effectively reduce missed appointments.
METHODS: To collect data for the study, SQL reports were run on EMIS Web, the United Kingdom\'s most widely used clinical system. The data spanned 10 years, from September 1, 2010, to March 31, 2020. Data accuracy was verified by cross-referencing with appointment diary records. Mann-Whitney and Kruskal-Wallis tests, chosen for their suitability in comparing groups in nonparametric settings, were conducted in Microsoft Excel due to its accessibility.
RESULTS: Statistical analyses were conducted to compare data before and after implementation of the text messaging system. The results revealed a significant 42.8% reduction in missed appointments (before: 5848; after: 3343; P<.001). Further analysis of demographic characteristics revealed interesting trends, with no significant difference in missed appointments between genders, and variations observed across different age groups. The median number of missed appointments was not significantly different between genders (women: 1.55, IQR 1.11-2.16; men: 1.61, IQR 1.08-2.12; P=.73). Despite the prevalence of mobile phone use among young adults aged 20-25 years, the highest rates of missed appointments (848/7256, 11.7%) were noted in this group, whereas the lowest rates were noted in the 75-80 years age group (377/7256; 5.2%; P<.001). Analysis by age and gender indicated inconsistencies: women aged 20-25 years (571/4216) and men aged 35-40 years (306/3040) had the highest rates of missed appointments, whereas women aged 70-75 years (177/4216) and men aged 75-80 years (129/3040) had the lowest rates (P<.001 for both).
CONCLUSIONS: This study demonstrates that SMS text messaging in primary care can significantly reduce missed appointments. Implementing technology such as SMS text messaging systems enables patients to cancel appointments on time, leading to improved efficiency in primary care settings.

The aim of this study was to examine the mediating effect of e-health literacy levels on the relationship between individuals\' awareness of COVID-19 and dispositional hope during the COVID-19 pandemic. The research was conducted with a mixed-methods design. Quantitative data were collected for the study online using Google Forms and qualitative data were collected online with an interview technique. In this framework, the qualitative data were obtained from a total of 15 people who had been diagnosed with COVID-19. These participants were selected using the snowball sampling method. A personal information form, e-Health Literacy Scale, Coronavirus Awareness Scale, Dispositional Hope Scale, and semistructured interview form were utilized in the course of the research. As a result of, it was determined that there were significant relationships between coronavirus awareness and both e-health literacy and dispositional hope, as well as between e-health literacy and dispositional hope. The measurement model was found to have good fit values. Testing the structural equation model, it was determined that e-health literacy had a full mediating role between coronavirus awareness and dispositional hope. In addition, this study showed that people who had COVID-19 had increased awareness of COVID-19 after contracting the disease.

OBJECTIVE: To evaluate the effect of the fear of violence of nurses working in Turkey on their intention to migrate and to examine the mediating role of psychological well-being on this effect.
BACKGROUND: Many countries are concerned about nurses\' fear of violence and their intention to migrate. The fear of violence at work may influence nurses\' intention to migrate. Additionally, psychological well-being may impact this process. However, the impact of the fear of violence at work on the intention to migrate, as well as the moderating effect of psychological well-being in a nursing context, is not well understood.
METHODS: We conducted this cross-sectional study on a sample of 221 nurses from two public hospitals. We collected survey data between November 2022 and January 2023 using three scales. We analyzed the data using SPSS, AMOS, and HAYES. We followed the STROBE statement guidelines for cross-sectional studies.
RESULTS: Nurses reported a moderate intention to migrate and a moderate to high level of fear of violence and psychological well-being. Fear of violence is positively associated with the intention to migrate. Mediation analyses indicated that the association between fear of violence and intention to migration was mediated by psychological well-being.
CONCLUSIONS: The fear among nurses of being exposed to violence increases their intention to migrate. However, high psychological well-being can reduce this intention.
CONCLUSIONS: Nursing managers, policymakers, and decision-makers need to take serious precautions against the fear of violence in the future and make necessary improvements for nurses who witness violence. To achieve this, it can begin by paying attention to the high psychological well-being of each nurse.

UNASSIGNED: Our aim was to better understand and raise awareness of the diagnosis journey and quantify any barriers for timely diagnosis of haemophagocytic lymphohistiocytosis (HLH), to support patients\' struggle with diagnosis and reduce time to diagnosis.
UNASSIGNED: Patients diagnosed with, or caregivers for those diagnosed with primary or secondary HLH and physicians involved in the treatment of HLH were recruited. Quantitative interviews were undertaken with patients/caregivers to quantify key elements of the diagnosis journey, followed by qualitative interviews with participants. Interviews took place between March-May 2021.
UNASSIGNED: Thirty-three patients/caregivers and nine physicians took part in this mixed methods study. Lack of physician awareness of HLH was a common frustration for patients/caregivers, causing delayed diagnosis. All physicians indicated bone-marrow testing is a key step in the diagnosis process, and some patients/caregivers had frustrations around testing. Emergency care doctors, although not usually involved in the diagnosis process, were among the most-seen specialists by patients/caregivers. Patients/caregivers suggested potential improvements in available information, such as providing information on treatment options and condition management.
UNASSIGNED: Patients/caregivers and physicians agreed on the need to raise overall awareness of HLH signs/symptoms among priority groups of physicians to recognise how signs/symptoms can progress and develop. Improvements in the testing process and communication would directly impact the speed of diagnosis and support patients/caregivers during the diagnostic journey, respectively.
UNASSIGNED: Raising awareness of key issues, such as signs/symptoms, tests and diagnostic procedures, and improved communication and support for patients/caregivers, are key to speeding up HLH diagnosis and improving outcomes.

UNASSIGNED: Psychiatrists often encounter ethical dilemmas in their daily clinical practice. Clinical ethics consultations (CECs) have been recently increasing, especially in general hospitals. However, the current situation in the psychiatric field is unclear. This study clarifies clinical ethics problems in psychiatry and determines the need for CECs.
UNASSIGNED: We conducted an anonymous self-administered questionnaire survey in February 2022, which targeted directors and supervisors of psychiatric specialty training programs at 1224 psychiatry facilities.
UNASSIGNED: Responses were received from 311 facilities (response rate: 25.4%). CEC systems existed in 223 (72.2%) facilities, and medical safety committees were the most common. Clinical ethics problems occurred at 248 (80.3%) facilities; the most common method for managing the problems was discussions at case conferences without using CECs. The top four reasons for psychiatrists to solicit advice were conflicts with patients\' relatives, treating a patient with cognitive impairment, discontinuation of treatment, and suicide/attempted suicide. Most respondents (89.9%) considered CECs necessary.
UNASSIGNED: Although CECs exist in psychiatry, they may not meet the needs of clients. Future studies are needed to investigate client satisfaction and CEC evaluation methods in facilities where psychiatric CECs are provided.

OBJECTIVE: To examine the relative importance of social cognitive predictors (ie, performance accomplishment, vicarious learning, verbal persuasion, affective state) on health promotion self-efficacy among older adults during COVID-19.
METHODS: Cross-sectional.
METHODS: Data collected online from participants in British Columbia (BC), Canada.
METHODS: Seventy-five adults (n = 75) aged ≥65 years.
METHODS: Health promotion self-efficacy was measured using the Self-Rated Abilities for Health Practices Scale. Performance accomplishment was assessed using the health directed behavior subscale of the Health Education Impact Questionnaire; vicarious learning was measured using the positive social interaction subscale of the Medical Outcomes Survey - Social Support Scale (MOS-SSS); verbal persuasion was assessed using the informational support subscale from the MOS-SSS; and affective state was assessed using the depression subscale from the Depression Anxiety Stress Scale (DASS-21).
METHODS: Multiple linear regression was used to investigate the relative importance of each social cognitive predictor on self-efficacy, after controlling for age.
RESULTS: Our analyses revealed statistically significant associations between self-efficacy and performance accomplishment (health-directed behavior; β = .20), verbal persuasion (informational support; β = .41), and affective state (depressive symptoms; β = -.44) at P < .05. Vicarious learning (β = -.15) did not significantly predict self-efficacy. The model was statistically significant (P < .001) explaining 43% of the self-efficacy variance.
CONCLUSIONS: Performance accomplishment experiences, verbal persuasion strategies, and affective states may be the target of interventions to modify health promotion self-efficacy among older adults, in environments that require physical and social distancing.

UNASSIGNED: Barely one-fifth of people in Sweden have expressed their will regarding organ donation in the national Swedish Donor Registry, and the number of organ donations in Sweden remains low.
UNASSIGNED: The aim of this study was to map behaviour and beliefs regarding organ donation in Sweden.
UNASSIGNED: In a descriptive cross-sectional survey following a quantitative approach and 600 questionnaires were issued to randomly selected individuals across Sweden. Of them, 206 (36.3%) were completed. Data were analysed using descriptive statistics and presented as frequencies and percentages. Analytical statistical testing involved Pearson chi-square tests, Mann-Whitney U tests, and Kruskal-Wallis tests.
UNASSIGNED: The results indicate a discrepancy between positive opinion about organ donation in Sweden and the number of people enrolled in the Swedish Donation Registry. The most common argument for not wanting to donate organs was the notion of being too old to. Although self-rated knowledge about organ donation was admittedly low, so was interest in interest in learning more about it. Younger patients more frequently wanted information than older patients did.
UNASSIGNED: Not wanting to donate organs due to age and/or illness may indicate a misconception. Making one\'s will known does not involve assessing one\'s health status or age but solely concerns the wish to do so. The findings thus raise an important question: How can people\'s interest in learning more about organ donation be induced in ethical ways?

UNASSIGNED: The study aimed to propose a multimodal model that incorporates both macroscopic and microscopic images and analyze its influence on clinicians\' decision-making with different levels of experience.
UNASSIGNED: First, we constructed a multimodal dataset for five skin disorders. Next, we trained unimodal models on three different types of images and selected the best-performing models as the base learners. Then, we used a soft voting strategy to create the multimodal model. Finally, 12 clinicians were divided into three groups, with each group including one director dermatologist, one dermatologist-in-charge, one resident dermatologist, and one general practitioner. They were asked to diagnose the skin disorders in four unaided situations (macroscopic images only, dermatopathological images only, macroscopic and dermatopathological images, all images and metadata), and three aided situations (macroscopic images with model 1 aid, dermatopathological images with model 2&3 aid, all images with multimodal model 4 aid). The clinicians\' diagnosis accuracy and time for each diagnosis were recorded.
UNASSIGNED: Among the trained models, the vision transformer (ViT) achieved the best performance, with accuracies of 0.8636, 0.9545, 0.9673, and AUCs of 0.9823, 0.9952, 0.9989 on the training set, respectively. However, on the external validation set, they only achieved accuracies of 0.70, 0.90, and 0.94, respectively. The multimodal model performed well compared to the unimodal models, achieving an accuracy of 0.98 on the external validation set. The results of logit regression analysis indicate that all models are helpful to clinicians in making diagnostic decisions [Odds Ratios (OR) > 1], while metadata does not provide assistance to clinicians (OR < 1). Linear analysis results indicate that metadata significantly increases clinicians\' diagnosis time (P < 0.05), while model assistance does not (P > 0.05).
UNASSIGNED: The results of this study suggest that the multimodal model effectively improves clinicians\' diagnostic performance without significantly increasing the diagnostic time. However, further large-scale prospective studies are necessary.

BACKGROUND: Medical scribes have been utilized to reduce electronic health record (EHR) associated documentation burden. Although evidence suggests benefits to scribes, no large-scale studies have quantitatively evaluated scribe impact on physician documentation across clinical settings. This study aimed to evaluate the effect of scribes on physician EHR documentation behaviors and performance.
METHODS: This retrospective cohort study used EHR audit log data from a large academic health system to evaluate clinical documentation for all ambulatory encounters between January 2014 and December 2019 to evaluate the effect of scribes on physician documentation behaviors. Scribe services were provided on a first-come, first-served basis on physician request. Based on a physician\'s scribe use, encounters were grouped into 3 categories: never using a scribe, prescribe (before scribe use), or using a scribe. Outcomes included chart closure time, the proportion of delinquent charts, and charts closed after-hours.
RESULTS: Three hundred ninety-five physicians (23% scribe users) across 29 medical subspecialties, encompassing 1,132,487 encounters, were included in the analysis. At baseline, scribe users had higher chart closure time, delinquent charts, and after-hours documentation than physicians who never used scribes. Among scribe users, the difference in outcome measures postscribe compared with baseline varied, and using a scribe rarely resulted in outcome measures approaching a range similar to the performance levels of nonusing physicians. In addition, there was variability in outcome measures across medical specialties and within similar subspecialties.
CONCLUSIONS: Although scribes may improve documentation efficiency among some physicians, not all will improve EHR-related documentation practices. Different strategies may help to optimize documentation behaviors of physician-scribe dyads and maximize outcomes of scribe implementation.