UNASSIGNED: Video-recordings review of patient encounters is reported to improve the clinical performance of medical students. However, evidence on specific remediation strategies or outcomes are lacking. We aimed to implement videorecording-based remediation of standardized patient encounters among medical students, combined with preceptor one-on-one feedback or peer group discussion, and evaluate the effectiveness of the two remediation methods using objective structured clinical examination (OSCE).
UNASSIGNED: Following standardized patient encounters, 107 final-year medical students were divided into two groups based on different remediation methods of video review: (1) precepted video review with preceptor feedback (N = 55) and (2) private video review and subsequent peer group discussion under supervision (N = 52). All students underwent twelve-stations of OSCE both before and after the video review. Students\' pre- and post-remediation OSCE scores, self-efficacy level in patient encounters, and level of educational satisfaction with each method were assessed and compared between different video-based remediation methods to evaluate their respective effects.
UNASSIGNED: After remediation, the total and subcomponent OSCE scores, such as history taking, physical examination, and patient - physician interaction (PPI), among all students increased significantly. Post-remediation OSCE scores showed no significant difference between two remediation methods (preceptor module, 79.6 ± 4.3 vs. peer module, 79.4 ± 3.8 in the total OSCE score). Students\' self-efficacy levels increased after remediation in both modules (both p-value <0.001), with no difference between the two modules. However, students\' satisfaction level was higher in the preceptor module than in the peer module (80.1 ± 17.7 vs. 59.2 ± 25.1, p-value <0.001). Among students with poor baseline OSCE performance, a prominent increase in PPI scores was observed in the preceptor-based module.
UNASSIGNED: Video-based remediation of patient encounters, either through preceptor review with one-on-one feedback or through private review with peer discussion, was equally effective in improving the OSCE scores and self-efficacy levels of medical students. Underperforming students can benefit from precepted video reviews for building PPI.

UNASSIGNED: To review and summarize existing literature and knowledge gaps regarding interventions that have been tested to optimize dispatcher-assisted CPR (DA-CPR) instruction protocols for out-of-hospital cardiac arrest (OHCA).
UNASSIGNED: This scoping review was undertaken by an International Liaison Committee on Resuscitation (ILCOR) Basic Life Support scoping review team and guided by the ILCOR methodological framework and the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for scoping reviews (PRISMA-ScR). Studies were eligible for inclusion if they were published in peer-reviewed journals and evaluated interventions used to improve DA-CPR. The search was carried out in MEDLINE, EMBASE, Education Resources Information Center (ERIC), PsycINFO, the Cochrane Library, Evidence Based Medicine (EBM) Reviews, and the Campbell Library from 2000 to December 18, 2023.
UNASSIGNED: After full text review, 31 studies were included in the final review. The interventions reviewed were use of video at the scene (n = 9), changes in terminology about compressions (n = 6), implementation of novel DA-CPR protocols (n = 4), advanced dispatcher training (n = 3), centralization of the dispatch center (n = 2), use of metronome or varied metronome rates (n = 2), change in CPR sequence and compression ratio (n = 1), animated audio-visual recording (n = 1), pre-recorded instructions vs. conversational live instructions (n = 1), inclusion of \"undress patient\" instructions (n = 1), and specific verbal encouragement (n = 1). Studies ranged in methodology from registry studies to randomized clinical trials with the majority being observational studies of simulated EMS calls for OHCA. Outcomes were highly variable but included rates of bystander CPR, confidence & willingness to perform CPR, time to initiation of bystander CPR, bystander CPR quality (including CPR metrics: chest compression depth and rate; chest compression fraction; full chest recoil, ventilation rate, overall CPR competency), rates of automated external defibrillator (AED) use, return of spontaneous circulation (ROSC) and survival. Overall, all interventions seem to be associated with potential improvement in bystander CPR and CPR metrics.
UNASSIGNED: There appears to be trends towards improvement on key outcomes however more research is needed. This scoping review highlights the lack of high-quality clinical research on any of the tested interventions to improve DA-CPR. There is insufficient evidence to explore the effectiveness of any of these interventions via systematic review.

BACKGROUND: Domestic and family violence (DFV) is a significant public health issue that poses a high risk to women, globally. Women experiencing DFV have higher rates of healthcare utilisation than women not experiencing DFV. Healthcare services are therefore well placed to address DFV and deliver education and awareness interventions to women. Video interventions are a strategy to deliver education to women, while overcoming barriers such as language, literacy, lack of rapport with clinician, or unwillingness to disclose. The current review will aim to further understand the characteristics, methods of evaluation, and outcomes of DFV video education interventions for perinatal women.
METHODS: The review will be reported in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) statement. A systematic search will be conducted of the following databases: Medline, Embase, PsycINFO, PsycArticles, Scopus, and Web of Science Core Collection. Two independent reviewers will screen titles and abstracts against the inclusion criteria, followed by a full text screening of eligible articles. A third reviewer will resolve discrepancies. All study types will be included. Only studies published in English will be included. Risk of bias will be assessed using the Quality Assessment with Diverse Studies (QuADS) tool. Data will undergo an aggregate mixed method synthesis informed by The Joanna Briggs Institute, before being analysed using a thematic approach.
CONCLUSIONS: This systematic review will provide evidence on best practice for the creation, delivery, and evaluation of DFV video interventions for women in the peripartum.
BACKGROUND: PROSPERO registration number CRD42023475338.

The hydrological monitoring of flow data is important for flood prevention and modern river management. However, traditional contact methods are increasingly struggling to meet the requirements of simplicity, accuracy, and continuity. The video-based river discharge measurement is a technique to monitor flow velocity without contacting the water body by using the image-recognition algorithms, which has been verified to have the advantages of full coverage and full automation compared with the traditional contact technique. In order to provide a timely summary of the available results and to inform further research and applications, this paper reviews and synthesizes the literature on the general implementation routes of the video-based river discharge measurement technique and the principles and advances of today\'s popular image-recognition algorithms for velocity detection. Then, it discusses the challenges of image-recognition algorithms in terms of image acquisition conditions, parameter uncertainties, and complex meteorological and water environments. It is concluded that the performance of this technique can be improved by enhancing the robustness and accuracy of video-based discharge measurement algorithms, minimizing weather effects, and improving computational efficiency. Finally, future development directions for further perfecting this technique are outlined.

This review evaluates randomized controlled trials (RCTs) intervening on adult state anxiety (fear and emotional distress during dental treatment), chronic dental (trait) anxiety or dental phobia (disproportionately high trait anxiety; meeting diagnostic criteria for specific phobia). Seven online databases were systematically searched. 173 RCTs met inclusion criteria, of which 67 qualified for 14 pooled analyses. To alleviate state anxiety during oral surgery, moderate-certainty evidence supports employing hypnosis (SMD=-0.31, 95 %CI[-0.56,-0.05]), and low-certainty evidence supports prescribing benzodiazepines (SMD=-0.43, [-0.74,-0.12]). Evidence for reducing state anxiety is inconclusive regarding psychotherapy, and does not support virtual reality exposure therapy (VRET), virtual reality distraction, music, aromatherapy, video information and acupuncture. To reduce trait anxiety, moderate-certainty evidence supports using Cognitive Behavioral Therapy (CBT; SMD=-0.65, [-1.06, -0.24]). Regarding dental phobia, evidence with low-to-moderate certainty supports employing psychotherapy (SMD=-0.48, [-0.72,-0.24]), and CBT specifically (SMD=-0.43, [-0.68,-0.17]), but not VRET. These results show that dental anxieties are manageable and treatable. Clinicians should ensure that interventions match their purpose-managing acute emotions during treatment, or alleviating chronic anxiety and avoidance tendencies. Existing research gaps underscore the necessity for future trials to minimize bias and follow CONSORT reporting guidelines.

Patients with movement disorders such as Parkinson\'s disease (PD) living in remote and underserved areas often have limited access to specialized healthcare, while the feasibility and reliability of the video-based examination remains unclear. The aim of this narrative review is to examine which parts of remote neurological assessment are feasible and reliable in movement disorders. Clinical studies have demonstrated that most parts of the video-based neurological examination are feasible, even in the absence of a third party, including stance and gait-if an assistive device is not required-bradykinesia, tremor, dystonia, some ocular mobility parts, coordination, and gross muscle power and sensation assessment. Technical issues (video quality, internet connection, camera placement) might affect bradykinesia and tremor evaluation, especially in mild cases, possibly due to their rhythmic nature. Rigidity, postural instability and deep tendon reflexes cannot be remotely performed unless a trained healthcare professional is present. A modified version of incomplete Unified Parkinson\'s Disease Rating Scale (UPDRS)-III and a related equation lacking rigidity and pull testing items can reliably predict total UPDRS-III. UPDRS-II, -IV, Timed \"Up and Go\", and non-motor and quality of life scales can be administered remotely, while the remote Movement Disorder Society (MDS)-UPDRS-III requires further investigation. In conclusion, most parts of neurological examination can be performed virtually in PD, except for rigidity and postural instability, while technical issues might affect the assessment of mild bradykinesia and tremor. The combined use of wearable devices may at least partially compensate for these challenges in the future.

Research in machine learning (ML) algorithms using natural behavior (i.e., text, audio, and video data) suggests that these techniques could contribute to personalization in psychology and psychiatry. However, a systematic review of the current state of the art is missing. Moreover, individual studies often target ML experts who may overlook potential clinical implications of their findings. In a narrative accessible to mental health professionals, we present a systematic review conducted in 5 psychology and 2 computer science databases. We included 128 studies that assessed the predictive power of ML algorithms using text, audio, and/or video data in the prediction of anxiety and posttraumatic stress disorder. Most studies (n = 87) were aimed at predicting anxiety, while the remainder (n = 41) focused on posttraumatic stress disorder. They were mostly published since 2019 in computer science journals and tested algorithms using text (n = 72) as opposed to audio or video. Studies focused mainly on general populations (n = 92) and less on laboratory experiments (n = 23) or clinical populations (n = 13). Methodological quality varied, as did reported metrics of the predictive power, hampering comparison across studies. Two-thirds of studies, which focused on both disorders, reported acceptable to very good predictive power (including high-quality studies only). The results of 33 studies were uninterpretable, mainly due to missing information. Research into ML algorithms using natural behavior is in its infancy but shows potential to contribute to diagnostics of mental disorders, such as anxiety and posttraumatic stress disorder, in the future if standardization of methods, reporting of results, and research in clinical populations are improved.

UNASSIGNED: Vacuum extraction is generally considered an operator-dependent task, with most attention directed toward the obstetrician\'s technical abilities (1-3). Little is known about the effect of the team and non-technical skills on clinical outcomes in vacuum-assisted delivery. This study aimed to investigate whether the non-technical skills of obstetricians were correlated with their level of clinical performance via the analysis of video recordings of teams conducting actual vacuum extractions.
UNASSIGNED: We installed between two or three video cameras in each delivery room at Aarhus University Hospital and Horsens Regional Hospital and obtained 60 videos of teams managing vacuum extraction. Appropriate consent was obtained. Two raters carefully reviewed the videos and assessed the teams\' non-technical skills using the Assessment of Obstetric Team Performance (AOTP) checklist, rating all items on a Likert scale score from 1 to 5 (1 = poor; 3 = average; and 5 = excellent). This resulted in a total score ranging from 18 to 90. Two different raters independently assessed the teams\' clinical performance (adherence to clinical guidelines) using the TeamOBS-Vacuum-Assisted Delivery (VAD) checklist, rating each item (0 = not done, 1 = done incorrectly; and 2 = done correctly). This resulted in a total score with the following ranges (low clinical performance: 0-59; average: 60-84; and high: 85-100). Interrater agreement was analyzed using intraclass correlation (ICC), and the risk of high or low clinical performance was analyzed on a logit scale to meet the assumption of normality.
UNASSIGNED: Teams that received excellent non-technical scores had an 81% probability of achieving high clinical performance, whereas this probability was only 12% among teams with average non-technical scores (p < 0.001). Teams with a high clinical performance often had excellent behavior in the non-technical items of \"team interaction,\" \"anticipation,\" \"avoidance fixation,\" and \"focused communication.\" Teams with a low or average clinical performance often neglected to consider analgesia, had delayed abandonment of the attempted vaginal delivery and insufficient use of appropriate fetal monitoring. Interrater reliability was high for both rater-teams, with an ICC for the non-technical skills of 0.83 (95% confidence interval [CI]: 0.71-0.88) and 0.84 for the clinical performance (95% CI: 0.74-0.90).
UNASSIGNED: Although assisted vaginal delivery by vacuum extraction is generally considered to be an operator-dependent task, our findings suggest that teamwork and effective team interaction play crucial roles in achieving high clinical performance. Teamwork helped the consultant anticipate the next step, avoid fixation, ensure adequate analgesia, and maintain thorough fetal monitoring during delivery.

Computer vision (CV) shows increasing promise as an efficient, low-cost tool for video seizure detection and classification. Here, we provide an overview of the fundamental concepts needed to understand CV and summarize the structure and performance of various model architectures used in video seizure analysis. We conduct a systematic literature review of the PubMed, Embase, and Web of Science databases from January 1, 2000 to September 15, 2023, to identify the strengths and limitations of CV seizure analysis methods and discuss the utility of these models when applied to different clinical seizure phenotypes. Reviews, nonhuman studies, and those with insufficient or poor quality data are excluded from the review. Of the 1942 records identified, 45 meet inclusion criteria and are analyzed. We conclude that the field has shown tremendous growth over the past 2 decades, leading to several model architectures with impressive accuracy and efficiency. The rapid and scalable detection offered by CV models holds the potential to reduce sudden unexpected death in epilepsy and help alleviate resource limitations in epilepsy monitoring units. However, a lack of standardized, thorough validation measures and concerns about patient privacy remain important obstacles for widespread acceptance and adoption. Investigation into the performance of models across varied datasets from clinical and nonclinical environments is an essential area for further research.

Background: Telehealth can help increase rural health care access. To ensure this modality is accessible for rural patients, it is necessary to understand rural patients\' experiences with telehealth. Objectives of this scoping review were to explore how rural patients\' telehealth experiences have been measured, assess relevant research, and describe rural telehealth patient experiences. Methods: We searched five databases for articles published from 2016 through 2022. Primary research reports assessing rural adult patient experiences with synchronous video telehealth in the United States in any clinical area were included. Data collected pertained to study characteristics and patient experience assessment characteristics and outcomes. Quality of included studies was assessed using the Quality Assessment with Diverse Studies tool. Review findings were presented in a narrative synthesis. Results: There were 740 articles identified for screening, and 24 met review inclusion criteria. Most studies (70%, n = 16) assessed rural telehealth patient experience using questionnaires; studies employed interviews (n = 11) alone or in combination with surveys. The majority of surveys were study developed and not validated. Quantitative patient experience outcomes fell under categories of patient satisfaction, telehealth care characteristics, patient-provider rapport, technology elements, and access. Qualitative themes were most often presented as telehealth benefits or facilitators, and drawbacks or barriers. Conclusions: Available research indicates positive patient experiences with rural telehealth services. However, study weaknesses limit generalizability of findings. Future research should apply established definitions for participant rurality and clearly group samples by rurality. Efforts should be made to use validated telehealth patient experience measures.