UNASSIGNED: Centralization of care jeopardizes interns\' learning experiences and necessitates educational changes. Here we present the development and evaluation of a structured digital curriculum, offered in addition to the clinical internship, to address these challenges.
UNASSIGNED: The structured digital curriculum was implemented in a the VUmc/Amsterdam UMC surgical internship program in the Netherlands. The curriculum used a modular format built around a skill or clinical condition. Each module included background information, digital elements like e-learnings and interactive vlogs, and self-assessments. From April 1st to June 30th, 2022, we conducted a mixed-methods evaluation comparing interns\' experiences between the conventional and digital curriculum through surveys and interviews.
UNASSIGNED: Thirty-nine interns (28.1 %) completed the survey, 17 (24.2 %) from the traditional curriculum and 22 (31.9 %) from the structured blended curriculum. Results from the interviews triangulated and complemented survey results. Interns appreciated both curricula (course marks 7.4 ± 2.0 vs. 8.1 ± 1.1, P = 0.207). The intervention cohort specifically appreciated the structured and comprehensive presentation of available study materials, which resulted in a sense of empowerment.
UNASSIGNED: Integrating a structured digital curriculum to support clinical internships provides interns with comprehensive, readily accessible knowledge, refines their understanding of clinical topics, and results in feelings of empowerment. The combination of clinical and digital education ensures adequate exposure to subjects vital for future doctors, even if clinical exposure is limited. Thus, using a structured digital curriculum prepares the intern and helps the internship program to adequately navigate future medical challenges.
UNASSIGNED: Centralization of care jeopardizes interns\' learning experiences and necessitates educational changes. A structured digital curriculum can empower interns in this scenario by providing readily accessible knowledge which refines their understanding of clinical topics.

While community health workers (CHWs) are well-positioned as health advocates, they frequently lack support and feel undervalued. Advocacy training may prepare CHWs to support communities better.
This study uses a design-based research approach to (1) explore how participation in curriculum-development workshops for a digital advocacy course influenced CHWs\' (n = 25) perceptions of advocacy and (2) describe how CHW involvement shaped course development. Data were collected via five discussion groups and seven surveys over six months.
Initially, the CHWs perceived themselves as community-advocates but not as self-advocates. They increasingly reflected on the merits of advocating for better working conditions and aspired to greater involvement in decision-making. CHWs reflected positively on their advisory role in shaping the course to improve content acceptability and validity.
Training efforts to engage CHWs in advocacy must overcome systemic barriers and norms internalized by CHWs that deter them from reaching their full potential as advocates.

UNASSIGNED: Removable partial denture (RPD) design is crucial to long-term success in dental treatment, but shortcomings in RPD design training and competency acquisition among dental students have persisted for decades. Digital production is increasing in prevalence in stomatology, and a digital RPD (D-RPD) module, under the framework of the certified Objective Manipulative Skill Examination of Dental Technicians (OMEDT) system reported in our previous work, may improve on existing RPD training models for students.
UNASSIGNED: We aimed to determine the efficacy of a virtual 3D simulation-based progressive digital training module for RPD design compared to traditional training.
UNASSIGNED: We developed a prospective cohort study including dental technology students at the Stomatology College of Chongqing Medical University. Cohort 1 received traditional RPD design training (7 wk). Cohort 2 received D-RPD module training based on text and 2D sketches (7 wk). Cohort 3 received D-RPD module pilot training based on text and 2D sketches (4 wk) and continued to receive training based on 3D virtual casts of real patients (3 wk). RPD design tests based on virtual casts were conducted at 1 month and 1 year after training. We collected RPD design scores and the time spent to perform each assessment.
UNASSIGNED: We collected the RPD design scores and the time spent to perform each assessment at 1 month and 1 year after training. The study recruited 109 students, including 58 (53.2%) female and 51 male (56.8%) students. Cohort 1 scored the lowest and cohort 3 scored the highest in both tests (cohorts 1-3 at 1 mo: mean score 65.8, SD 21.5; mean score 81.9, SD 6.88; and mean score 85.3, SD 8.55, respectively; P<.001; cohorts 1-3 at 1 y: mean score 60.3, SD 16.7; mean score 75.5, SD 3.90; and mean score 90.9, SD 4.3, respectively; P<.001). The difference between cohorts in the time spent was not statistically significant at 1 month (cohorts 1-3: mean 2407.8, SD 1370.3 s; mean 1835.0, SD 1329.2 s; and mean 1790.3, SD 1195.5 s, respectively; P=.06) but was statistically significant at 1 year (cohorts 1-3: mean 2049.16, SD 1099.0 s; mean 1857.33, SD 587.39 s; and mean 2524.3, SD 566.37 s, respectively; P<.001). Intracohort comparisons indicated that the differences in scores at 1 month and 1 year were not statistically significant for cohort 1 (95% CI -2.1 to 13.0; P=.16), while cohort 3 obtained significantly higher scores 1 year later (95% CI 2.5-8.7; P=.001), and cohort 2 obtained significantly lower scores 1 year later (95% CI -8.8 to -3.9; P<.001).
UNASSIGNED: Cohort 3 obtained the highest score at both time points with retention of competency at 1 year, indicating that progressive D-RPD training including virtual 3D simulation facilitated improved competency in RPD design. The adoption of D-RPD training may benefit learning outcomes.

ChatGPT may be used by runners to generate training plans to enhance performance or health aspects. However, the quality of ChatGPT generated training plans based on different input information is unknown. The objective of the study was to evaluate ChatGPT-generated six-week training plans for runners based on different input information granularity. Three training plans were generated by ChatGPT using different input information granularity. 22 quality criteria for training plans were drawn from the literature and used to evaluate training plans by coaching experts on a 1-5 Likert Scale. A Friedmann test assessed significant differences in quality between training plans. For training plans 1, 2 and 3, a median rating of <3 was given 19, 11, and 1 times, a median rating of 3 was given 3, 5, and 8 times and a median rating of >3 was given 0, 6, 13 times, respectively. Training plan 1 received significantly lower ratings compared to training plan 2 for 3 criteria, and 15 times significantly lower ratings compared to training plan 3 (p < 0.05). Training plan 2 received significantly lower ratings (p < 0.05) compared to plan 3 for 9 criteria. ChatGPT generated plans are ranked sub-optimally by coaching experts, although the quality increases when more input information are provided. An understanding of aspects relevant to programming distance running training is important, and we advise avoiding the use of ChatGPT generated training plans without an expert coach\'s feedback.

BACKGROUND: In an era in which digital communication technologies play a pivotal role in everyday life, social housing residents remain highly susceptible to digital exclusion.
OBJECTIVE: This study aims to evaluate the feasibility and acceptability of a telephone-based training intervention designed to empower people to confidently use digital communication technologies (ie, video calls and web-based messaging).
METHODS: Conducted in collaboration with a UK social housing association, the intervention was facilitated by a unitary authority\'s Digital Inclusion Team during the COVID-19 pandemic. A mixed methods approach was used, encompassing quantitative and qualitative data collection on demand, reach, implementation, and potential outcomes. Demographic and qualitative data on the reasons for undertaking or not undertaking the training were collected via telephone interviews during the recruitment process. Digital competency and well-being data were collected via a self-reported survey before and after the intervention.
RESULTS: Among the 4485 residents who were offered training, 67 (1.49%) expressed interest, of whom 12 (18%) of the 67 completed the training. The findings indicate a demand for basic digital training among social housing residents. The key findings revolve around the substantial dropout rate among those who were interested in undertaking the training. Barriers were strongly influenced by socioeconomic and health circumstances, reflecting the sociodigital inequalities commonly found in this group. For the training participants, the intervention was acceptable and achieved its goals, demonstrating the potential of tailored, persistent training efforts in overcoming barriers. There were no changes in self-reported well-being or digital competency outcomes (but this was limited by the small sample size).
CONCLUSIONS: Sociodigital inequalities impact the reach, implementation, and acceptability of telephone-based digital training for social housing residents. Barriers to reaching and training digitally excluded groups can be overcome through the use of trusted intermediaries, personalized recruitment approaches, the minimization of administrative barriers, and tailored and agile training programs. Recognizing the resource-intensive nature of such initiatives, this study calls for enhanced recognition of intermediary efforts in national digital inclusion policies.

UNASSIGNED: To evaluate the effects of 20 weeks of home-based isometric handgrip training (IHT) compared with usual care on systolic blood pressure (SBP) in adults.
UNASSIGNED: This was a randomised, controlled, assessor-blinded trial. Participants were randomised to either IHT (intervention group) or usual care (control group).
UNASSIGNED: Participants randomised to the intervention group performed a session of 16 min of effective workout home-based IHT three times per week for 20 weeks. Participants randomised to the control group were asked to continue their daily activities as usual.
UNASSIGNED: The primary outcome was the difference in SBP between groups over 20 weeks. Secondary outcomes were diastolic blood pressure, heart rate, handgrip strength, and self-administered home blood pressure measures.
UNASSIGNED: Forty-eight adults (mean [SD] age, 64 [8] years) were included in this trial. The adjusted between-group mean difference in SBP was 8.12 mmHg (95% CI 0.24 to 16.01, p = 0.04) - favouring the usual care group. No differences between groups were found in any of the home blood pressure measurements.
UNASSIGNED: This trial showed that 20 weeks of home-based isometric handgrip training was not superior compared to the usual care in lowering SBP.

We evaluated a digital learning programme for non-specialists to develop knowledge-based competencies in a problem-solving intervention for adolescents to examine the overall impact of training on knowledge-based competencies among learners; and to compare the effects of two training conditions (self-guided digital training with or without coaching) in a nested parallel, two-arm, individually randomised controlled trial. Eligible participants were 18 or older; fluent in Hindi or English; able to access digital training; and had no prior experience of delivering structured psychotherapies. 277 participants were enrolled from 31 March 2022 to 19 June 2022 of which 230 (83%) completed the study. There was a significant increase in competency score from pre-training (Mean = 7.01, SD = 3.29) to post-training (Mean = 8.88, SD = 3.80), 6 weeks after the pre-training assessment. Knowledge competency scores showed larger increase among participants randomised to the coaching arm (AMD = 1.09, 95% CI 0.26-1.92, p = 0.01) with an effect size (d) of 0.33 (95% CI 0.08-0.58). More participants completed training in the coaching arm (n = 96, 69.6%) compared to the self-guided training arm (n = 56, 40.3%). In conclusion, a coach-supported remote digital training intervention is associated with enhanced participation by learners and increased psychotherapeutic knowledge competencies.

Background: The hormonal intrauterine device, a long-acting reversible contraceptive method, is being introduced to pilot sites in the private and public sector in Nigeria by the Nigerian Federal Ministry of Health since 2019. To inform training of health care providers, a study was conducted on a hybrid digital and in-person training which utilized Objective Structured Clinical Examination (OSCE) to assess competency of provider trainees. This study represents one of few documented experiences using OSCE to assess the effectiveness of a digital training. Methods: From September - October 2021, in Enugu, Kano and Oyo states of Nigeria, 62 health care providers from public and private sector health facilities were trained in hormonal IUD service provision using a hybrid digital / in-person training approach. Providers, who were skilled in provision of copper IUD, underwent a didactic component using digital modules, followed by an in-person practicum, and finally supervised service provision in the provider trainee\'s workplace. Skills were assessed using OSCE during the one-day practicum. Results: Use of the OSCE to assess skills provided valuable information to study team. The performance of provider trainees was high (average 94% correct completion of steps in the OSCE). Conclusions: OSCE was used as a research methodology as part of this pilot study; to date, OSCE has not been integrated into the training approach to be scaled up by FMOH. Uniformly high performance of provider trainees was seen on the OSCE, unsurprising since provider trainees were experienced in providing copper IUD. If and when training is rolled out to providers inexperienced with copper IUD, OSCE may have a more important role to assess skills before service provision. The role of OSCE in design of hybrid digital / in-person training approaches should be further explored in rollout of hormonal IUD and other contraceptive technologies.

UNASSIGNED: Task sharing may involve training nonspecialist health workers (NSHWs) to deliver brief mental health interventions. This approach is promising for reducing the global mental health treatment gap. However, capacity is limited for training large cadres of frontline workers in low- and middle-income countries, hindering uptake of these interventions at scale.
UNASSIGNED: The ESSENCE (enabling translation of science to service to enhance depression care) project in Madhya Pradesh, India, aims to address these challenges through two sequential randomized controlled trials. First, a training trial will evaluate the effectiveness and cost-effectiveness of digital training, compared with conventional face-to-face training, in achieving clinical competency of NSHWs in delivering an intervention for depression. This initial trial will be followed by an implementation trial aimed at evaluating the effectiveness of a remote enhanced implementation support, compared with routine implementation support, in addressing barriers to delivery of depression care in primary care facilities.
UNASSIGNED: This project involved developing and pilot testing a scalable smartphone-based program for training NSHWs to deliver a brief psychological intervention for depression screening. This initial research guided a randomized trial of a digital training approach with NSHWs to evaluate the effectiveness of this approach. This trial will be followed by a cluster-randomized trial to evaluate the effectiveness of remote implementation support in ensuring efficient delivery of depression care in primary care facilities.
UNASSIGNED: Findings from these trials may inform sustainable training and implementation support models to integrate depression care into primary care for scale-up in resource-constrained settings.

High dropout rates are a common problem reported in web-based studies. Understanding which risk factors interrelate with dropping out from the studies provides the option to prevent dropout by tailoring effective strategies.
This study aims to contribute an understanding of the predictors of web-based study dropout among psychosomatic rehabilitation patients. We investigated whether sociodemographics, voluntary interventions, physical and mental health, digital use for health and rehabilitation, and COVID-19 pandemic-related variables determine study dropout.
Patients (N=2155) recruited from 4 psychosomatic rehabilitation clinics in Germany filled in a web-based questionnaire at T1, which was before their rehabilitation stay. Approximately half of the patients (1082/2155, 50.21%) dropped out at T2, which was after the rehabilitation stay, before and during which 3 voluntary digital trainings were provided to them. According to the number of trainings that the patients participated in, they were categorized into a comparison group or 1 of 3 intervention groups. Chi-square tests were performed to examine the differences between dropout patients and retained patients in terms of sociodemographic variables and to compare the dropout rate differences between the comparison and intervention groups. Logistic regression analyses were used to assess what factors were related to study dropout.
The comparison group had the highest dropout rate of 68.4% (173/253) compared with the intervention groups\' dropout rates of 47.98% (749/1561), 50% (96/192), and 42.9% (64/149). Patients with a diagnosis of combined anxiety and depressive disorder had the highest dropout rate of 64% (47/74). Younger patients (those aged <50 y) and patients who were less educated were more likely to drop out of the study. Patients who used health-related apps and the internet less were more likely to drop out of the study. Patients who remained in their jobs and patients who were infected by COVID-19 were more likely to drop out of the study.
This study investigated the predictors of dropout in web-based studies. Different factors such as patient sociodemographics, physical and mental health, digital use, COVID-19 pandemic correlates, and study design can correlate with the dropout rate. For web-based studies with a focus on mental health, it is suggested to consider these possible dropout predictors and take appropriate steps to help patients with a high risk of dropping out overcome difficulties in completing the study.