Assessing Growth of BACB Certificants (1999-2019).

Geographic distribution patterns of board certified behavior analysts may be useful in analyzing the growth of the field. First, we present an international snapshot of Behavior Analyst Certification Board (BACB) certificants, then analyze relative growth rates between countries from 1999 to 2019. This is followed by an in depth review of certificant distribution patterns in the United States and Canada, as well as the ratios of experienced behavior analysts to new certificants. These data highlight regions with a potential deficit of qualified supervisors. There are factors that influence different dispersal patterns, and without drilling deeper into the data we may be unable to effectively identify or influence them in order meet the specific needs of a geographic region. Supplementary Information: The online version contains supplementary material available at 10.1007/s40614-023-00370-5.

Patient and Operational Factors Do Not Substantively Affect the Annual Departmental Quality of Anesthesiologists' Clinical Supervision and Nurse Anesthetists' Work Habits.

INTRODUCTION: Although safety climate, teamwork, and other non-technical skills in operating rooms probably influence clinical outcomes, direct associations have not been shown, at least partially due to sample size considerations. We report data from a retrospective cohort of anesthesia evaluations that can simplify the design of prospective observational studies in this area. Associations between non-technical skills in anesthesia, specifically anesthesiologists' quality of clinical supervision and nurse anesthetists' work habits, and patient and operational factors were examined. METHODS: Eight fiscal years of evaluations and surgical cases from one hospital were included. Clinical supervision by anesthesiologists was evaluated daily using a nine-item scale. Work habits of nurse anesthetists were evaluated daily using a six-item scale. The dependent variables for both groups of staff were binary, whether all items were given the maximum score or not. Associations were tested with patient and operational variables for the entire day. RESULTS: There were 40,718 evaluations of faculty anesthesiologists by trainees, 53,772 evaluations of nurse anesthetists by anesthesiologists, and 296,449 cases that raters and ratees started together. Cohen's d values were small (≤0.10) for all independent variables, suggesting a lack of any clinically meaningful association between patient and operational factors and evaluations given the maximum scores. For supervision quality, the day's count of orthopedic cases was a significant predictor of scores (P = 0.0011). However, the resulting absolute marginal change in the percentage of supervision scores equal to the maximum was only 0.8% (99% confidence interval: 0.2% to 1.4%), i.e., too small to be of clinical or managerial importance. Neurosurgical cases may have been a significant predictor of work habits (P = 0.0054). However, the resulting marginal change in the percentage of work habits scores equal to the maximum, an increase of 0.8% (99% confidence interval: 0.1% to 1.6%), which was again too small to be important. CONCLUSIONS: When evaluating the effect of assigning anesthesiologists and nurse anesthetists with different clinical performance quality on clinical outcomes, supervision quality and work habits scores may be included as independent variables without concern that their effects are confounded by association with the patient or case characteristics. Clinical supervision and work habits are measures of non-technical skills. Hence, these findings suggest that non-technical performance can be judged by observing the typical small sample size of cases. Then, associations can be tested with administrative data for a far greater number of patients because there is unlikely to be a confounding association between patient and case characteristics and the clinicians' non-technical performance.

Scaling up the task-sharing of psychological therapies: A formative study of the PEERS smartphone application for supervision and quality assurance in rural India.

Measurement-based peer supervision is one strategy to assure the quality of psychological treatments delivered by non-mental health specialist providers. In this formative study, we aimed to 1) describe the development and 2) examine the acceptability and feasibility of PEERS (Promoting Effective mental healthcare through peER Supervision)-a novel smartphone app that aims to facilitate registering and scheduling patients, collecting patient outcomes, rating therapy quality and assessing supervision quality-among frontline treatment providers delivering behavioral activation treatment for depression. The PEERS prototype was developed and tested in 2021, and version 1 was launched in 2022. To date, 215 treatment providers (98% female; ages 30-35) in Madhya Pradesh and Goa, India, have been trained to use PEERS and 65.58% have completed the supplemental, virtual PEERS course. Focus group discussions with 98 providers were examined according to four themes-training and education, app effectiveness, user experience and adherence and data privacy and safety. This yielded commonly endorsed facilitators (e.g., collaborative learning through group supervision, the convenience of consolidated patient data), barriers (e.g., difficulties with new technologies) and suggested changes (e.g., esthetic improvements, suicide risk assessment prompt). The PEERS app has the potential to scale measurement-based peer supervision to facilitate quality assurance of psychological treatments across contexts.

Overnight In-House Critical Care Resource Intensivist Improves General Surgery Resident Education.

24/7 critical care staffing has become more commonplace, and their impact on resident training must be carefully considered. At our institution, the Critical Care Resource Intensivist (CCRI) model was implemented to provide in-house dedicated faculty responsible solely for the provision of critical care overnight. An anonymous survey was distributed to all general surgery residents to evaluate CCRI's impact on education and autonomy. Descriptive statistics were completed for quantitative data. Qualitative analysis of free text responses was completed to identify consensus themes. Responses from 26 residents demonstrated they associated CCRI with improved resident education, supervision, and patient care, without limiting autonomy. Qualitative analysis yielded 7 themes, reflecting improvements in patient care and safety, progression of care, operations and procedures, improved education, availability, and independence, but noted potential for conflict. Our findings show 24/7 dedicated intensivist staffing can enhance general surgery resident education without limiting autonomy.

Behavior Analysis of the Use of Personal Protective Equipment (PPE) for Workers at PT. Maruki International Indonesia.

Personal protective equipment (PPE) is a set of tools used by workers to protect all or part of their body against the potential danger of work accidents in the work area. The use of personal protective equipment is often considered unimportant by workers, especially those working in dangerous and risky areas. The discipline of workers in using personal protective equipment is still low, so the risk of work accidents that can endanger workers is quite large. The purpose of this study was to determine the relationship between perception, motivation, knowledge and supervision of the behavior of using PPE at PT. Maruki International Indonesia, Tamalanrea District, Makassar City, South Sulawesi Province. This type of research is analytical research with a cross-sectional study approach with a total sample of 41 people. The results showed that there was a relationship between perceptions and the behavior of using PPE (p = .004), there was a relationship between motivation and behavior in using PPE (p = .002), there was no relationship between knowledge and behavior in using PPE (p = .814), there was a relationship between supervision and usage behavior. PPE (p = .008). It is recommended that workers be obedient and disciplined to use PPE (personal protective equipment) according to the regulations and make it a work norm, provide IEC PPE in all work locations, and increase supervision of the use of PPE through improved management.

Masked autoencoders with generalizable self-distillation for skin lesion segmentation.

In the field of skin lesion image segmentation, accurate identification and partitioning of diseased regions is of vital importance for in-depth analysis of skin cancer. Self-supervised learning, i.e., MAE, has emerged as a potent force in the medical imaging domain, which autonomously learns and extracts latent features from unlabeled data, thereby yielding pre-trained models that greatly assist downstream tasks. To encourage pre-trained models to more comprehensively learn the global structural and local detail information inherent in dermoscopy images, we introduce a Teacher-Student architecture, named TEDMAE, by incorporating a self-distillation mechanism, it learns holistic image feature information to improve the generalizable global knowledge learning of the student MAE model. To make the image features learned by the model suitable for unknown test images, two optimization strategies are, Exterior Conversion Augmentation (EC) utilizes random convolutional kernels and linear interpolation to effectively transform the input image into one with the same shape but altered intensities and textures, while Dynamic Feature Generation (DF) employs a nonlinear attention mechanism for feature merging, enhancing the expressive power of the features, are proposed to enhance the generalizability of global features learned by the teacher model, thereby improving the overall generalization capability of the pre-trained models. Experimental results from the three public skin disease datasets, ISIC2019, ISIC2017, and PH 2 indicate that our proposed TEDMAE method outperforms several similar approaches. Specifically, TEDMAE demonstrated optimal segmentation and generalization performance on the ISIC2017 and PH 2 datasets, with Dice scores reaching 82.1% and 91.2%, respectively. The best Jaccard values were 72.6% and 84.5%, while the optimal HD95% values were 13.0% and 8.9%, respectively.

Bridging the gap: How investing in advanced practice nurses could transform emergency care in Africa.

AIM: This paper aims to highlight the vital importance of investing in advanced practice nursing (APN) for enhancing emergency care throughout Africa. BACKGROUND: APN's role is increasingly recognized as pivotal in optimizing healthcare, particularly in emergency settings in Africa. It offers improved patient care quality and strengthens the healthcare workforce. SOURCES OF EVIDENCE: Evidence is drawn from successful implementations of APN in various healthcare environments. This includes the development of APN-specific curricula and training, mentorship initiatives, clinical supervision, and defining advanced nursing roles within healthcare organizations. Investing in APNs in emergency care in Africa can lead to improved quality and access to care, cost-effectiveness, enhanced patient outcomes and satisfaction, and opportunities for professional development and career advancement in the healthcare workforce. DISCUSSION: Despite facing barriers in implementation, APN in emergency care presents innovative solutions. Investing in APN can help healthcare entities and policymakers surmount these challenges, providing specialized patient care and improving health outcomes. The discussion emphasizes the benefits such as enhanced access to care, reduced healthcare costs, and improved patient outcomes, alongside bolstering the healthcare workforce. CONCLUSION: The necessity and benefits of investing in APN for emergency care in Africa are clear. It is crucial for improving healthcare delivery and outcomes. IMPLICATIONS FOR NURSING PRACTICE: APN investment leads to a more competent and efficient nursing workforce, capable of addressing complex emergencies and improving patient care. IMPLICATIONS FOR NURSING POLICY AND HEALTH/SOCIAL POLICY: The paper advocates for policies that support APN development and integration into the healthcare system, emphasizing the need for research to assess APN's long-term impact and establish best practices for its implementation in emergency care across Africa.

Behavioral decision-making of government, agricultural product producers, and consumers on agricultural product quality and safety regulation in a digital environment.

The quality and safety of agricultural products are related to people's lives and health, economic development, and social stability, and have always been a hot issue of concern to the government and society. The rapid development of digital traceability technology in the digital environment has brought new opportunities for the supervision of agricultural product quality and safety, but the frequent occurrence of agricultural product safety incidents in recent years has exposed many problems such as the lack of governmental supervision, unstandardized production process of enterprises, and weak consumer awareness. To improve the cooperation efficiency of stakeholders and ensure the quality and safety of agricultural products, this paper proposes a dynamic model based on evolutionary game theory. The model incorporates the government, agricultural product producers, and farmers, and evaluates the stability and effectiveness of the system under different circumstances. The results of the study show that there are multiple evolutionary stabilization strategies in the tripartite evolutionary game model of agricultural product quality and safety supervision, and there are corresponding evolutionary stabilization conditions. There are several factors affecting the stability of the system, the most important of which are government regulation, severe penalties for agricultural product producers, and incentives. When these factors reach a certain threshold, the stakeholder cooperation mechanism can establish an evolutionarily stable strategy. This study contributes to the understanding of the operational mechanism of stakeholder cooperation in agricultural product quality and safety regulation in the digital environment and provides decision support and policy recommendations for stakeholders to promote the sustainable development and optimization of agricultural product quality and safety regulation.

Optometry student clinical practice at public health facilities: A systematic review.

Background: Clinical training, supervision and practice are the most important aspects of health profession education, including optometry. Institutions implore various methods for students to gain access, exposure and experience in different clinical environments, away from their normal academic settings. Aim: This review aimed to investigate studies and related documentary evidence to determine existing standards and methods for educational institutions in conducting optometry clinical training at the external sites. Setting: The electronic databases - ProQuest One, Scopus, EBSCOhost, Sabinet, Science Direct and Google Scholar - were searched systematically for studies on the implementation of workplace clinical training of undergraduate optometry students. Methods: The study followed the Joanna Briggs Institute (JBI) systematic review methodology and a systematic search of various electronic databases was conducted for studies on implementation of workplace clinical training. Of the 450 full-text studies searched, 13 studies were found to be reputable sources of evidence and were included in this systematic review. Results: Four themes relating to student clinical training emerged, namely, clinical training approaches implemented, expected minimum standards at the training sites, clinical training environment wherein students and supervisors find themselves and clinical competence of the supervisors and students. They encompass important factors to consider in the planning and provision of quality, efficient and effective student clinical supervision at the external training facilities. Conclusion: There is a dearth of scholarly studies to guide clinical training of optometry training within the public health sector. However, more studies are undertaken in other health disciplines, and they provide generic guidelines, which can be adapted for optometry. Contribution: The article highlights the need for further studies in optometry student clinical training, focussing on programme designs and standardisation of clinical training in multi-institutional, low-income contexts.

No Matter Your Age, "It's Your Life, It's Your Choice": Compulsory Persuasion and Informal Rehabilitative Support in Youth and Adult Intensive Supervision Programs.

Although existing literature identifies that public protection and risk reduction are the primary goals of intensive supervision programs (ISP), little is known about how or whether rehabilitation of high-risk offenders is prioritized outside of enforcing court-mandated conditions. Using qualitative semi-structured interviews and focus groups within two Canadian metropolitan ISPs, our study explores how rehabilitative support is offered to youth and adult high-risk offenders in the absence of formal conditions. Using the framework of late-modern rehabilitation and compulsory persuasion, we draw on themes of offender responsibilization and coercion to interrogate the provision of informal rehabilitative support. Our findings indicate that officers negotiate "voluntary agreements" with select high-risk offenders, which hierarchicalizes them into two groups: those worthy of informal support and those who "choose" not to want to rehabilitate. We also find that youth and adults are treated similarly despite substantive differences between the types of crimes committed.

The Synergistic Effects of Risk-Principle Adherence in the Supervision and Treatment of Individuals Who Have Sexually Offended.

Prior literature highlights the effectiveness of the Risk-Need-Responsivity (RNR) risk principle when providing community supervision and treatment to general justice-involved individuals and special populations such as individuals convicted of a sexual offense. Individuals deemed high-risk, per risk assessment, should receive the most intensive levels of community supervision and treatment, while individuals classified as low risk should receive the lowest intensity. Research in support for the risk principle finds adherence decreased recidivism rates and increased probation compliance. The current study assesses the effects of adhering (or not) to the risk principle in supervision levels and treatment dosage on the compliance of individuals on probation for a sexual offense (N = 133). Overall, results support risk principle adherence for individuals, with increasing adherence levels associated with significantly more compliance, and non-adherence resulting in adverse outcomes. Implications for policy and practice in the supervision and treatment of individuals with a sexual offense are discussed.

Cross-Modal Supervised Human Body Pose Recognition Techniques for Through-Wall Radar.

Through-wall radar human body pose recognition technology has broad applications in both military and civilian sectors. Identifying the current pose of targets behind walls and predicting subsequent pose changes are significant challenges. Conventional methods typically utilize radar information along with machine learning algorithms such as SVM and random forests to aid in recognition. However, these approaches have limitations, particularly in complex scenarios. In response to this challenge, this paper proposes a cross-modal supervised through-wall radar human body pose recognition method. By integrating information from both cameras and radar, a cross-modal dataset was constructed, and a corresponding deep learning network architecture was designed. During training, the network effectively learned the pose features of targets obscured by walls, enabling accurate pose recognition (e.g., standing, crouching) in scenarios with unknown wall obstructions. The experimental results demonstrated the superiority of the proposed method over traditional approaches, offering an effective and innovative solution for practical through-wall radar applications. The contribution of this study lies in the integration of deep learning with cross-modal supervision, providing new perspectives for enhancing the robustness and accuracy of target pose recognition.

The effect of the clinical supervision model on nursing internship students' nursing process-based performance: an experimental study.

BACKGROUND: The nursing process is a systematic method for identifying the patient's problems and planning to resolve them. It is also a crucial pillar of high-quality nursing care. Nursing internship students may lack the necessary skills to implement the nursing process due to the increased independence, the absence of constant professorial supervision, and limited experience. The clinical supervision model is a method of clinical education that bridges the gap between theory and practice. OBJECTIVE: This study was conducted to investigate the impact of the clinical supervision model on the performance of nursing internship students in each of the five stages of the nursing process, as well as overall. METHOD: This experimental study was conducted in 2022. The 70 eligible internship students were conveniently selected and randomly assigned to either an intervention or a control group. In the present study, the clinical supervision model was implemented for the intervention group, while the control group received routine supervision. This was carried out over six sessions in three months. The data collection was conducted using a researcher-developed checklist of nursing process-based performance in both groups. Moreover, the Manchester questionnaire was used to evaluate the model in the intervention group. The variables considered as confounding factors included age, gender, marital status, number of monthly shifts, and grades of the nursing process credit completed in the third semester. SPSS version 16 software, descriptive statistics (frequency distribution, percentage, mean, and standard deviation), and analytical statistics (independent t-test, chi square, repeated measures Anova and LSD) were used to analyze the data. RESULTS: Intergroup analysis revealed that there was no significant difference between the scores of nursing process steps and the total score before the intervention in the control and intervention groups, as well as in baseline characteristics (P > 0.05). According to the intragroup analysis, the intervention group showed a significant increase in both the total scores and scores of nursing process steps over time (P < 0.001), whereas the control group exhibited contradictory results (P > 0.05). Finally, the "P-Value Intervention" demonstrated the effectiveness of this training model in improving the performance of the intervention group based on the nursing process compared to the control group. The mean score of the Manchester questionnaire in the intervention group was 136.74, indicating the high impact of implementing the clinical supervision model in the intervention group. CONCLUSION: The results indicated that the implementation of the clinical supervision model led to improved utilization of the nursing process by nursing internship students at all stages. Therefore, it is recommended that nurse educators utilize the clinical supervision model by providing feedback on errors in action during supervision sessions to enhance the quality of nursing care provided by nursing internship students and improve patient safety in clinical environment.

A case study: lessons learned from online tutorial to improve practice readiness for family medicine residents in Palestine.

BACKGROUND: Geopolitical and socioeconomic challenges limit faculty development and clinical teaching in Palestine and many other developing countries. The first, and still only, Family Medicine (FM) residency program is a four-year program based out of An-Najah University in the West Bank. Training in primary care clinics occurs in the final two years and there are many challenges to adequate supervision in the clinical setting that were exacerbated during the pandemic. To improve the readiness for practice skills of 13 Palestinian FM residents a three-month tutorial program was organized in 2020. A nongovernmental organization (NGO) that has worked to support Family Medicine development in the region engaged experienced British and American General Practitioners trained as tutors to offer online tutorials. We examined the program as a case study to understand the factors that facilitated or impaired a positive virtual learning environment in a middle/low income country. METHODS: The tutors and residents were divided into groups and met virtually between June and September 2020. Evaluations and session reports collected during the program, the text of an online chat, and responses to an online survey two years later were collected. Using thematic analysis techniques, we evaluated the value for the residents at the time and two years later and identified factors that facilitated or impaired a positive virtual learning environment. RESULTS: Themes of knowledge, skills, attitudes, cultural disconnects, and tutorial logistics emerged. The group with the most stable tutor pairing, including one Arabic-speaker familiar with the context, was the most engaged. The all-female group formed a chat group to share real-time case questions during clinical practice and focused on skills (e.g. conducting a thorough medication review) and attitudes (e.g. open to sharing and discussing uncertainties). Other groups were less cohesive. CONCLUSIONS: Transnational tutorials that focused on clinical thinking and decision-making skills were most successful when the tutorial pair was stable, offered familiarity with the language and addressed cultural differences. Intrinsic factors such as lacking the motivation to participate and extrinsic factors such as unstable internet and rolling electric cuts, and clinical structures that made applying new skills challenging were more difficult to address but must be considered.

Individuals with Nazi and Nazi-Sympathizer Family History: Psychotherapeutic Issues.

This article presents the findings of an ongoing supervision group (founded in 1999) researching the after-effects of the Nazi period on people in psychotherapy in Germany today. The unacknowledged collective shadow hidden behind half-truths, prevarications, and silence itself prevents a genuine working through of the Nazi past. Patients' lack of knowledge concerning their families' own past leads to unconscious guilt, which often then leads to psychosomatic disturbances. But this is not only a problem in Germany. Unacknowledged collective shadows are prevalent in many countries worldwide. Psychological difficulties on the individual and societal levels result.

Aggression in Psychodynamic Psychotherapy and Supervision: Becoming a More Effective Therapist.

Access to one's healthy aggression is critical for both patient and therapist. On the patient's end, the ability to access and modulate aggression is fundamental to the establishment of healthy self-esteem and the capacity to sustain relationships and pursue life goals. On the therapist's end, access to aggression allows for the setting of a secure therapeutic frame and the subsequent conduct of the deep work of therapy. Conversely, lack of access to aggression creates burdensome and problematic situations that may subvert the treatment. Beginning therapists have a particular susceptibility to minimize their own aggression given certain factors in their choice of profession. Supervisors' modeling of the experience of aggression, as well as the provision of a safe atmosphere in which new clinicians become comfortably aware of their own and their patients' aggression, will help fortify beginning therapists' capacity to harness their aggression in the service of the work.

Oncology clinicians' feelings towards patients presented in supervision: A pre-post assessment using the feeling word checklist.

OBJECTIVE: Clinical supervision of oncology clinicians by psycho-oncologists is an important means of psychosocial competence transfer and support. Research on this essential liaison activity remains scarce. The aim of this study was to assess the impact of supervision on oncology clinicians' feelings towards patients presented in supervision. METHODS: Oncology clinicians' (n = 23) feelings towards patients presented in supervision were assessed with the Feeling Word Checklist (FWC). The FWC was filled in by supervisees prior and after their supervision sessions (n = 91), which were conducted by experienced supervisors (n = 6). Pre- post-modification of feelings was evaluated based on a selection of FWC items, which were beforehand considered as likely to change in a beneficial supervision. Items were evaluated on session level using t-tests for dependent groups. Composite scores were calculated for feelings expected to raise and feelings expected to decrease and analysed on the level of supervisees. RESULTS: Feelings related to threats, loss of orientation or hostility such as "anxious", "overwhelmed", "impotent", "confused", "angry", "depreciated" and "guilty" decreased significantly after supervision, while feelings related to the resume of the relationship ("attentive", "happy"), a better understanding of the patient ("empathic"), a regain of control ("confident") and being "useful" significantly increased. Feeling "interested" and "calm" remained unchanged. Significant increase or decrease in the composite scores for supervisees confirmed these results. CONCLUSIONS: This study demonstrates modification of feelings towards patients presented in supervision. This modification corresponds to the normative, formative, and especially restorative function (support of the clinician) of supervision.

Scoping review: exploring residents' views of supervisor entrustment and its effect on learning and professional development.

This scoping review aimed to systematically explore the complex and nuanced perceptions of residents entrusted with significant responsibilities by their supervisors in the clinical context. We conducted a comprehensive search strategy targeting six major electronic databases. Data were extracted using the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) checklist and a scoping review protocol. Resident perceptions regarding entrustment and its impact on learning and professional development were categorized. This review elucidated the role of supervisor entrustment in shaping residents' clinical performance, notably influencing autonomy, self-confidence, responsibility for patients, learning needs and goals, uncertainty management, and professional identity formation. Residents identified factors that promote and hinder performance and entrustment development resulting from supervisor entrustment and distinguished between appropriate supervision and over- or under-supervision. Our review suggests that residents' perceptions of supervisor entrustment, as bestowed by supervisors, serves as a catalyst for enhancing autonomy, thereby exerting a significant influence on clinical performance, and fostering the development of a professional identity. However, residents' views on appropriate supervision differ in some ways from supervisors' perspectives. Further research is needed to bridge the gap between residents' expectations of autonomy and what they are given, and to explore the intricate relationship between autonomy and entrustment.

Enhanced Knowledge Distillation for Advanced Recognition of Chinese Herbal Medicine.

The identification and classification of traditional Chinese herbal medicines demand significant time and expertise. We propose the dual-teacher supervised decay (DTSD) approach, an enhancement for Chinese herbal medicine recognition utilizing a refined knowledge distillation model. The DTSD method refines output soft labels, adapts attenuation parameters, and employs a dynamic combination loss in the teacher model. Implemented on the lightweight MobileNet_v3 network, the methodology is deployed successfully in a mobile application. Experimental results reveal that incorporating the exponential warmup learning rate reduction strategy during training optimizes the knowledge distillation model, achieving an average classification accuracy of 98.60% for 10 types of Chinese herbal medicine images. The model boasts an average detection time of 0.0172 s per image, with a compressed size of 10 MB. Comparative experiments demonstrate the superior performance of our refined model over DenseNet121, ResNet50_vd, Xception65, and EfficientNetB1. This refined model not only introduces an approach to Chinese herbal medicine image recognition but also provides a practical solution for lightweight models in mobile applications.