BACKGROUND: Gaming disorder (GD) is a new official diagnosis in the International Classification of Diseases, 11th Revision, and with its recognition, the need to offer treatment for the condition has become apparent. More knowledge is needed about the type of treatment needed for this group of patients.
OBJECTIVE: This study aims to evaluate the effectiveness and acceptability of a novel module-based psychological treatment for GD based on cognitive behavioral therapy and family therapy.
METHODS: This study is a nonrandomized intervention study, with a pretest, posttest, and 3-month follow-up design. It will assess changes in GD symptoms, psychological distress, and gaming time, alongside treatment satisfaction, working alliance, and a qualitative exploration of patients\' and relatives\' experiences of the treatment.
RESULTS: This study started in March 2022 and the recruitment is expected to close in August 2024.
CONCLUSIONS: This study evaluates the effectiveness and acceptability of a psychological treatment for patients with problematic gaming behavior and GD. It is an effectiveness trial and will be conducted in routine care. This study will have high external validity and ensure that the results are relevant for a diverse clinical population with psychiatric comorbidity.
BACKGROUND: ClinicalTrials.gov NCT06018922; https://clinicaltrials.gov/study/NCT06018922.
UNASSIGNED: DERR1-10.2196/56315.

Purpose: This study aims to assess the effectiveness of ChatGPT in remote learning among medical students. Methods: This cross-sectional survey study recruited 386 medical students from three public universities in Saudi Arabia. Participants completed an online questionnaire designed to assess perceptions of ChatGPT\'s effectiveness in remote learning. The questionnaire included Likert scale questions to evaluate various aspects of ChatGPT\'s support in remote learning, such as personalized learning, language and communication skills, and interactive quizzing. Data were analyzed using SPSS, employing descriptive statistics, independent samples t-tests, one-way ANOVA, and Cronbach\'s alpha to evaluate reliability. Results: Participants mostly used ChatGPT on a weekly (43.2%) or daily (48.7%) basis, primarily on personal computers (62.5%). Mean scores for ChatGPT\'s support in remote learning were high for personalized learning (4.35), language and communication skills (4.23), and interactive quizzing and assessments (4.01). Statistically significant differences were found based on gender for interactive quizzing (p = .0177) and continuity of education (p = .0122). Conclusion: Despite certain challenges and variations in perceptions based on gender and education level, the overwhelmingly positive attitudes toward ChatGPT highlight its potential as a valuable tool in medical education.

UNASSIGNED: Based on the need-adapted approach, delaying antipsychotics could help identify first-episode psychosis (FEP) adolescents who might not require them. However, some individuals might need antipsychotics, and postponing could harm their prognosis. This nationwide register-based follow-up aimed to test these two hypotheses.
UNASSIGNED: All adolescents aged 13-20 with a psychotic disorder (ICD-10 codes: F20-F29) in Finland between 2003 and 2013 were identified (n = 6354) from national registers. For each case, a fixed 1825-day follow-up period was established from the onset of psychosis or until death. The outcome was considered \"good\" if adolescents did not die and had not received psychiatric treatment and/or disability allowances during the final year of follow-up. Testing the first hypothesis involved all antipsychotic treatment-naïve adolescents with FEP (n = 3714). The second hypothesis was tested with a sub-sample of only those who had received antipsychotics during follow-up (n = 3258). To account for baseline confounders, hypotheses were tested via a stabilized inverse probability of treatment weighted generalized linear models with logit link function.
UNASSIGNED: Immediate antipsychotic treatment after the onset of psychosis was associated with poor 5-year outcome (adjusted odds ratio [aOR]: 1.8, 95% CI: 1.6-2.1). There was no statistically significant association between antipsychotic postponement and treatment outcome in those who eventually received antipsychotic treatment (aOR: 1.02, 95% CI: 0.7-1.2, P: .8), thus not providing support for second hypothesis.
UNASSIGNED: There is a significant subgroup of adolescent with psychosis who do not require immediate antipsychotic treatment. A more robust design is needed to evaluate the causality of the observed association.

OBJECTIVE: This study aimed to evaluate the safety and effectiveness of the combination of DEM-TACE with chemotherapy in treating unresectable intrahepatic cholangiocarcinoma (ICC).
METHODS: 70 patients diagnosed with unresectable ICC between Jan. 2016 and Dec. 2020 were retrospectively included in this study. Of these, 39 patients received DEM-TACE and first-line chemotherapy (D-TACE+Chemo group) and 31 received chemotherapy alone (Chemo group). Propensity score matching (PSM) was performed to reduce selection bias between the D-TACE+Chemo and the Chemo groups. Differences in tumor response, progression-free survival (PFS), overall survival (OS), and treatment-related adverse events (TRAEs) were compared between the two groups .
RESULTS: The patients in the D-TACE+Chemo group had better median OS (18.6 vs. 11.9 months, P=0.018), median PFS (11.9 vs. 6.9 months, P=0.033), and objective response rates (56.8% vs. 13.3%, P < 0.001) than those in the Chemo group. TRAEs showed that a higher incidence of transient elevation of transaminase and abdominal pain in the D-TACE+Chemo group than in the Chemo group (P < 0.001).
CONCLUSIONS: Compared with chemotherapy alone, DEM-TACE combined with first-line chemotherapy may be a viable and safe treatment option for unresectable ICC.

BACKGROUND: Population studies show that musculoskeletal conditions are a leading contributor to the total burden of healthy life lost, second only to cancer and with a similar burden to cardiovascular disease. Prioritizing the delivery of effective treatments is necessary, and with the ubiquity of consumer smart devices, the use of digital health interventions is increasing. Messaging is popular and easy to use and has been studied for a range of health-related uses, including health promotion, encouragement of behavior change, and monitoring of disease progression. It may have a useful role to play in the management and self-management of musculoskeletal conditions.
OBJECTIVE: Previous reviews on the use of messaging for people with musculoskeletal conditions have focused on synthesizing evidence of effectiveness from randomized controlled trials. In this review, our objective was to map the musculoskeletal messaging literature more broadly to identify information that may inform the design of future messaging interventions and summarize the current evidence of efficacy, effectiveness, and economics.
METHODS: Following a prepublished protocol developed using the Joanna Briggs Institute Manual for Evidence Synthesis, we conducted a comprehensive scoping review of the literature (2010-2022; sources: PubMed, CINAHL, Embase, and PsycINFO) related to SMS text messaging and app-based messaging for people with musculoskeletal conditions. We described our findings using tables, plots, and a narrative summary.
RESULTS: We identified a total of 8328 papers for screening, of which 50 (0.6%) were included in this review (3/50, 6% previous reviews and 47/50, 94% papers describing 40 primary studies). Rheumatic diseases accounted for the largest proportion of the included primary studies (19/40, 48%), followed by studies on multiple musculoskeletal conditions or pain sites (10/40, 25%), back pain (9/40, 23%), neck pain (1/40, 3%), and \"other\" (1/40, 3%). Most studies (33/40, 83%) described interventions intended to promote positive behavior change, typically by encouraging increased physical activity and exercise. The studies evaluated a range of outcomes, including pain, function, quality of life, and medication adherence. Overall, the results either favored messaging interventions or had equivocal outcomes. While the theoretical underpinnings of the interventions were generally well described, only 4% (2/47) of the papers provided comprehensive descriptions of the messaging intervention design and development process. We found no relevant economic evaluations.
CONCLUSIONS: Messaging has been used for the care and self-management of a range of musculoskeletal conditions with generally favorable outcomes reported. However, with few exceptions, design considerations are poorly described in the literature. Further work is needed to understand and disseminate information about messaging content and message delivery characteristics, such as timing and frequency specifically for people with musculoskeletal conditions. Similarly, further work is needed to understand the economic effects of messaging and practical considerations related to implementation and sustainability.
UNASSIGNED: RR2-10.1136/bmjopen-2021-048964.

OBJECTIVE: To assess the effects of an evidence-based family caregiver training program (implementation of Helping Invested Families Improve Veteran Experiences Study [iHI-FIVES]) in the Veterans Affairs healthcare system on Veteran days not at home and family caregiver well-being.
METHODS: Participants included Veterans referred to home- and community-based services with an identified caregiver across 8 medical centers and confirmed family caregivers of eligible Veterans.
METHODS: In a stepped wedge cluster randomized trial, sites were randomized to a 6-month time interval for starting iHI-FIVES and received standardized implementation support. The primary outcome, number of Veteran \"days not at home,\" and secondary outcomes, changes over 3 months in measures of caregiver well-being, were compared between pre- and post-iHI-FIVES intervals using generalized linear models including covariates.
METHODS: Patient data were extracted from the electronic health record. Caregiver data were collected from 2 telephone-based surveys.
RESULTS: Overall, n = 898 eligible Veterans were identified across pre-iHI-FIVES (n = 327) and post-iHI-FIVES intervals (n = 571). Just under one fifth (17%) of Veterans in post-iHI-FIVES intervals had a caregiver enroll in iHI-FIVES. Veteran and caregiver demographics in pre-iHI-FIVES intervals were similar to those in post-iHI-FIVES intervals. In adjusted models, the estimated rate of days not at home over 6-months was 42% lower (rate ratio = 0.58 [95% confidence interval: 0.31-1.09; p = 0.09]) post-iHI-FIVES compared with pre-iHI-FIVES. The estimated mean days not at home over a 6-month period was 13.0 days pre-iHI-FIVES and 7.5 post-iHI-FIVES. There were no differences between pre- and post-iHI-FIVES in change over 3 months in caregiver well-being measures.
CONCLUSIONS: Reducing days not at home is consistent with effectiveness because more time at home increases quality of life. In this study, after adjusting for Veteran characteristics, we did not find evidence that implementation of a caregiver training program yielded a reduction in Veteran\'s days not at home.

BACKGROUND: For a decade, despite results from many studies, telemedicine systems have suffered from a lack of recommendations for chronic heart failure (CHF) care because of variable study results. Another limitation is the hospital-based architecture of most telemedicine systems. Some systems use an algorithm based on daily weight, transcutaneous oxygen measurement, and heart rate to detect and treat acute heart failure (AHF) in patients with CHF as early on as possible.
OBJECTIVE: The aim of this study is to determine the efficacy of a telemonitoring system in detecting clinical destabilization in real-life settings (out-of-hospital management) without generating too many false positive alerts.
METHODS: All patients self-monitoring at home using the system after a congestive AHF event treated at a cardiology clinic in France between March 2020 and March 2021 with at least 75% compliance on daily measurements were included retrospectively. New-onset AHF was defined by the presence of at least 1 of the following criteria: transcutaneous oxygen saturation loss, defined as a transcutaneous oxygen measurement under 90%; rise of cardiac frequency above 110 beats per minute; weight gain of at least 2 kg; and symptoms of congestive AHF, described over the phone. An AHF alert was generated when the criteria reached our definition of new-onset acute congestive heart failure (HF).
RESULTS: A total of 111 consecutive patients (n=70 men) with a median age of 76.60 (IQR 69.5-83.4) years receiving the telemonitoring system were included. Thirty-nine patients (35.1%) reached the HF warning level, and 28 patients (25%) had confirmed HF destabilization during follow-up. No patient had AHF without being detected by the telemonitoring system. Among incorrect AHF alerts (n=11), 5 patients (45%) had taken inaccurate measurements, 3 patients (27%) had supraventricular arrhythmia, 1 patient (9%) had a pulmonary bacterial infection, and 1 patient (9%) contracted COVID-19. A weight gain of at least 2 kg within 4 days was significantly associated with a correct AHF alert (P=.004), and a heart rate of more than 110 beats per minute was more significantly associated with an incorrect AHF alert (P=.007).
CONCLUSIONS: This single-center study highlighted the efficacy of the telemedicine system in detecting and quickly treating cardiac instability complicating the course of CHF by detecting new-onset AHF as well as supraventricular arrhythmia, thus helping cardiologists provide better follow-up to ambulatory patients.

BACKGROUND: HIV pre-exposure prophylaxis (PrEP) is a critical biomedical strategy to prevent HIV transmission among cisgender women. Despite its proven effectiveness, Black cisgender women remain significantly underrepresented throughout the PrEP care continuum, facing barriers such as limited access to care, medical mistrust, and intersectional racial or HIV stigma. Addressing these disparities is vital to improving HIV prevention outcomes within this community. On the other hand, nurse practitioners (NPs) play a pivotal role in PrEP utilization but are underrepresented due to a lack of awareness, a lack of human resources, and insufficient support. Equipped with the rapid evolution of artificial intelligence (AI) and advanced large language models, chatbots effectively facilitate health care communication and linkage to care in various domains, including HIV prevention and PrEP care.
OBJECTIVE: Our study harnesses NPs\' holistic care capabilities and the power of AI through natural language processing algorithms, providing targeted, patient-centered facilitation for PrEP care. Our overarching goal is to create a nurse-led, stakeholder-inclusive, and AI-powered program to facilitate PrEP utilization among Black cisgender women, ultimately enhancing HIV prevention efforts in this vulnerable group in 3 phases. This project aims to mitigate health disparities and advance innovative, technology-based solutions.
METHODS: The study uses a mixed methods design involving semistructured interviews with key stakeholders, including 50 PrEP-eligible Black women, 10 NPs, and a community advisory board representing various socioeconomic backgrounds. The AI-powered chatbot is developed using HumanX technology and SmartBot360\'s Health Insurance Portability and Accountability Act-compliant framework to ensure data privacy and security. The study spans 18 months and consists of 3 phases: exploration, development, and evaluation.
RESULTS: As of May 2024, the institutional review board protocol for phase 1 has been approved. We plan to start recruitment for Black cisgender women and NPs in September 2024, with the aim to collect information to understand their preferences regarding chatbot development. While institutional review board approval for phases 2 and 3 is still in progress, we have made significant strides in networking for participant recruitment. We plan to conduct data collection soon, and further updates on the recruitment and data collection progress will be provided as the study advances.
CONCLUSIONS: The AI-powered chatbot offers a novel approach to improving PrEP care utilization among Black cisgender women, with opportunities to reduce barriers to care and facilitate a stigma-free environment. However, challenges remain regarding health equity and the digital divide, emphasizing the need for culturally competent design and robust data privacy protocols. The implications of this study extend beyond PrEP care, presenting a scalable model that can address broader health disparities.
UNASSIGNED: PRR1-10.2196/59975.

UNASSIGNED: To evaluate the safety and effectiveness of baloxavir marboxil (baloxavir) and oseltamivir in pediatric influenza patients in China.
UNASSIGNED: Patients filling a prescription for baloxavir or oseltamivir within 48 h following an influenza-related outpatient visit were identified in Children\'s Hospital of Fudan University in China between March 2023 and December 2023. Outcomes were assessed after antiviral treatment and included the incidence of adverse reactions and the duration of fever and other flu symptoms.
UNASSIGNED: A total of 1430 patients infected with influenza A were collected and 865 patients (baloxavir: n = 420; oseltamivir: n = 445) finally included. The incidence of adverse reactions of nausea and vomiting was significantly different between the baloxavir group (2.38%) and the oseltamivir group (12.13%) [P < 0.001, OR = 4.2526, 95%CI (2.0549, 9.6080)]. No differences in other adverse reactions were observed between the two groups. The mean duration of fever in baloxavir group (1.43d) was significantly shorter than that in oseltamivir group (2.31d) [P < 0.001, 95%CI (0.7815, 0.9917)]. There were no differences in the mean duration of nasal congestion and runny nose, sore throat, cough, and muscle soreness between two groups.
UNASSIGNED: The incidence of nausea and vomiting is lower with baloxavir compared to oseltamivir, and the duration for complete fever reduction is shorter with baloxavir than with oseltamivir. The results indicate that baloxavir is well tolerated and effective in Chinese children.

BACKGROUND: Lyme disease continues to expand in Canada and the USA and no single intervention is likely to curb the epidemic.
METHODS: We propose a platform to quantitatively assess the effectiveness of a subset of Ixodes scapularis tick management approaches. The platform allows us to assess the impact of different control treatments, conducted either individually (single interventions) or in combination (combined efforts), with varying timings and durations. Interventions include three low environmental toxicity measures in differing combinations, namely reductions in white-tailed deer (Odocoileus virginianus) populations, broadcast area-application of the entomopathogenic fungus Metarhizium anisopliae, and fipronil-based rodent-targeted bait boxes. To assess the impact of these control efforts, we calibrated a process-based mathematical model to data collected from residential properties in the town of Redding, southwestern Connecticut, where an integrated tick management program to reduce I.xodes scapularis nymphs was conducted from 2013 through 2016. We estimated parameters mechanistically for each of the three treatments, simulated multiple combinations and timings of interventions, and computed the resulting percent reduction of the nymphal peak and of the area under the phenology curve.
RESULTS: Simulation outputs suggest that the three-treatment combination and the bait boxes-deer reduction combination had the overall highest impacts on suppressing I. scapularis nymphs. All (single or combined) interventions were more efficacious when implemented for a higher number of years. When implemented for at least 4 years, most interventions (except the single application of the entomopathogenic fungus) were predicted to strongly reduce the nymphal peak compared with the no intervention scenario. Finally, we determined the optimal period to apply the entomopathogenic fungus in residential yards, depending on the number of applications.
CONCLUSIONS: Computer simulation is a powerful tool to identify the optimal deployment of individual and combined tick management approaches, which can synergistically contribute to short-to-long-term, costeffective, and sustainable control of tick-borne diseases in integrated tick management (ITM) interventions.