Yoxas/statistical_literacy huggingface dataset:
What factors are associated with career outcomes among biomedical PhDs? Research to date has focused on drivers of interest in (and intention to pursue) various careers, especially during graduate school, but fewer studies have investigated participants' ultimate career outcomes. Even less is known about what factors matter for groups historically underrepresented in the US science, technology, engineering, and mathematics (STEM) workforce, such as women, some racial and ethnic groups, and persons with disabilities ( National Center for Science and Engineering Statistics (NCSES), 2021a). This study reports a new analysis of data from 781 PhD neuroscientists that were obtained from a retrospective survey ( Ullrich et al., 2021) to investigate the factors that influence the career sector in which neuroscience PhDs are employed and whether there were group differences according to social identity. We find evidence of academia as a "default path" for incoming PhD students, but interest in different careers increases over time. Those who remained in academia had greater acceptance of the structural aspects of academic careers, such as promotion and tenure processes, and greater faculty support during postdoctoral training. Conversely, prioritizing monetary compensation and/or varied work were associated with not being in academia, while a strong interest in research was positively associated with being in nonacademic research. Somewhat surprisingly, there were few interactions with gender, and no interactions with underrepresentation status, although perhaps this was due to lower statistical power for these analyses. Our findings also underscore the role of advisors, networking, and personal relationships in securing employment in STEM.
WHAT IS KNOWN ON THE SUBJECT? : In inpatient wards, there is a risk that conflicts occur when nursing staff interact with psychotic patients. The Interactive Approach (IA) model is an action-based model, used in psychiatric settings, to manage conflict situations. WHAT THIS PAPER ADDS TO EXISTING KNOWLEDGE? : The IA model can be used to improve communication between nursing staff and patients in numerous critical situations. Using a structured risk scale to evaluate a conflict can be an effective way to guide action and sort out the different aspects of communication between nursing staff and psychotic patients. WHAT ARE THE IMPLICATIONS FOR PRACTICE? : The clarity of an action-based model will help sort out which interventions are most likely to succeed in each conflict situation. The IA model highlights the importance of understanding and strengthening the patient's perspective, being flexible for each individual patient, and providing the patient with clear information about the situation. ABSTRACT: Introduction The Interactive Approach (IA) model is a structured management tool used to improve communication between caregivers and patients in psychiatric care settings. Aim/Question To examine the nursing staff's experiences of the IA model. How do they use the interventions in conflict situations with psychotic patients? Method A sample of nursing staff (n = 11) was recruited from three psychosis inpatient care units. Semi-structured questions covered staff experiences of working with the problem-solving interventions in the IA model. Transcribed data were analysed by qualitative content analysis. Results Three categories were defined: (1) 'To apply a flexible approach' describes how staff tried to adapt to each patient and situation; (2) 'Try to understand the person's inner world' describes the importance of active listening and exploring the patient's concerns; and (3) 'To communicate clearly' relates to experiences of clear communication and the setting up of boundaries. Discussion The risk scale and training in communication skills helped the interaction between staff and patients in conflict situations. Different interventions were used with a focus on maintaining patient alliance. Implications for Practice The findings highlight the importance of educational efforts and practical training, to prevent violence and the use of coercive measures.
WHAT IS KNOWN ON THE SUBJECT? : Spirituality is an important aspect for clients with mental illness. Spirituality is essential to holistic care in mental health nursing. Nurses found an apparent disconnection between the theory and practice of spiritual care. Nurses acknowledged that attitudes that allocate blame towards clients with mental illness have the most negative impact on clients' spiritual wellbeing. The conflicting worldviews between spiritual healing and a biomedical approach impact the provision of care as relationships among the mental health team are disrupted. The non-assessment of the client's spirituality hindered nurses from providing spiritual care. Language differences between nurses and clients impede nurses from providing spiritual care. WHAT ARE THE IMPLICATIONS FOR PRACTICE? : The use of spiritual therapy as an element of nursing care works if clients and nurses are both aware of the importance of spirituality. Nursing staff must also be aware of several issues that may make it difficult for nurses to provide such therapy, including specific symptoms of mental illness. Nurses can apply spiritual care effectively when they have significant spirituality. Nurses with good competency in mental health nursing skills are more likely to provide efficient spiritual care as part of holistic care. INTRODUCTION: Spiritual care is essential to clients with mental illness. To explore mental health nursing students' perspectives on spirituality and spiritual care and how this impacts clients with mental illness in an Islamic context (Saudi Arabia). Thematic analysis is used to analyse data from two focus groups of mental health nursing students (one comprising eight, the other six). Six themes emerged: factors affecting spirituality in mental illness, the impact of mental illness on spirituality, the use of spiritual healing in mental illness, nurses' use of spiritual healing; challenges in providing spiritual care and recommendations for improving spiritual care. Clients being blamed for having mental illness by health professionals and the community harmed their spirituality. The religious support of peers was a practical approach to spiritual therapy, asserted as a beneficial element of nursing care. However, nurses found providing such therapy challenging because of the language barrier and the lack of any assessment of clients' spirituality. It was also challenging when dealing with specific symptoms of mental illness. The study asserts that spiritual therapy in nursing care will work if the client knows its importance. Nurses who have significant spirituality can apply it effectively.
WHAT IS KNOWN ON THE SUBJECT? : There are significant issues recruiting nurses into mental health due to several reasons such as dilution of curriculum, and mental health being an unpopular career choice Transition programs provide nurses entering mental health with orientation, academic and clinical skills, and knowledge. WHAT THE PAPER ADDS TO EXISTING KNOWLEDGE? : Transition programs need to be nuanced to specialty areas (e.g. community) to ensure nurses are given the support necessary to remain working in the field. Many nurses choose to work in mental health due to a lived or personal experience and as such strengthening wellbeing supports for transitioning nurses is an important role in retention. WHAT ARE THE IMPLICATIONS FOR PRACTICE? : Tailored transition programs can help strengthen mental health nurse role clarity, and support staff retention. Transition programs should be a segue to formal postgraduate studies in mental health nursing to strengthen professional practice and retention of nurses. INTRODUCTION: Globally, there are consistent issues recruiting staff into the mental health nursing workforce. In Australia, recent efforts to expand the workforce include recruitment of a wider range of nurses in addition to new graduates into mental health transition-to-practice programs. Understanding the career motivations of nurses entering the field is an important element of recruitment and retention. To describe nurses' satisfaction with their mental health transition program and identify factors influencing their choice of mental health as a career. An online cross-sectional survey with questions on program satisfaction and career choice was responded to by n = 55 enrolled and registered nurses in a mental health transition program. Nurses reported overall high satisfaction with their program and identified increased time release for professional development and being supernumerary as necessary to support role development. Almost 25% of nurses reported personal experience of mental illness as an influence in choosing a mental health career. Mental health transition programs are important in recruitment and retention and need to be tailored to the needs of a wide range of nurses and include support for staff wellbeing. Tailored transition programs can help strengthen role clarity, and support staff retention.
What is the educational challenge?Incorporation of large language model (LLM) or generative artificial intelligence (AI) software poses a challenge to various areas of medical education, including problem-based learning (PBL). LLMs, such as ChatGPT, have incredible potential to transform educational systems and enhance student learning outcomes when used responsibly.What are the proposed solutions?ChatGPT can provide several ways to support students and assist facilitators with course responsibilities. Here we address factors of implementation and describe how ChatGPT can be responsibly utilized to support key elements of PBL.How was the solution implemented?Providing reasonable access is an essential element of novel software implementation. Additionally, training for both faculty and staff is vital to foster responsible usage, provide base-line proficiency, and guide users to critically evaluate the quality of output.What lessons were learned that are relevant to a wider audience?The use of LLMs or other generative AI is dramatically rising in the world. Appropriate and conscientious incorporation of AI into educational programs can foster responsible use and potentially enhance student learning.What are the next steps?Assessment of learning outcomes, student self-efficacy, group dynamics, and stakeholder feedback are required to measure the effects of ChatGPT in the PBL curriculum. Additionally, software programs competitive with ChatGPT are currently under development and will also need to be investigated for their potential role in education.
What symptoms do people think constitute "depression"? In a mental health literacy framework, knowing more of depression's nine core symptoms (per formal psychiatric diagnostic criteria) is thought to help people identify and seek help for depression. However, the common-sense model of self-regulation suggests that more expansive beliefs about what symptoms constitute an illness may be maladaptive, whereby viewing more symptoms as characterizing a disorder predicts greater functional impairment. We collected data from N = 281 U.S. adolescents experiencing elevated depression symptoms, recruited via social media. Symptom beliefs were assessed descriptively and with a latent profile analysis to test associations with other variables. Adolescents' beliefs about what symptoms constitute depression varied widely, and only 49% endorsed all DSM-5 depression symptoms as characterizing the disorder. Adolescents who identified more symptoms as belonging to depression had more severe depression symptoms (p = .004), reported more hopelessness (p = .021), and were more pessimistic about the permanence of depression (p = .007); they were also more likely to rate medication as potentially helpful (p = .001). These findings simultaneously support and challenge elements of both the common-sense model and the mental health literacy framework. Future research on mental health literacy may examine why adolescents with more psychiatrically-accurate understandings of depression experience worse clinical outcomes. Likewise, future research on the common sense model should explore whether more expansive depression symptom beliefs may be adaptive as well as maladaptive.
What was the educational challenge?Health inequity impedes care at every level of the health care system. Despite this, health equity is not the foundation for most health systems science (HSS) curricula.What was the solution?We reframed our HSS curricula to focus on health equity.How was the solution implemented?We integrated equity concepts into all HSS content areas. First-year content emphasizes structural competency and is delivered through didactics, discussions, interprofessional education, panels, and service-learning requirements. Second-year content applies HSS principles in the clinical space through direct patient care and assignments. Third- and fourth-year content focuses on HSS advocacy and leadership.What lessons were learned that are relevant to a wider global audience?It is crucial to center health equity in medical curricula to improve patient outcomes. Proper faculty development, non-judgmental discussions, and integration with clinical and medical sciences are critical to successful implementation.What are the next steps?We will address feedback, emphasize relevance to patients and populations, and refine outcome measures.
When a parallel beam of light illuminates an aperture, the uncertainty principles require associating probability amplitude to a photon at each point of the aperture. Superposition of the amplitudes at the observation point behind the aperture, determines the probability that the photon strikes the point. In this paper, we show that this "photon approach" explains several optical concepts. The approach is applied to study the diffraction from a single slit, double slit, and transmission phase step. Then, we apply it to explain the diffraction from a bi-prism and a Michelson's interferometer, and show that the photon approach to the appearance of the interference fringes is more reasonable than the wave approach. We deduce the coherence behavior of light from the uncertainty principles, and finally, we use the photon approach to extract the ray optics laws and image formation formulae.
When an analyst or scientist has a belief about how the world works, their thinking can be biased in favor of that belief. Therefore, one bedrock principle of science is to minimize that bias by testing the predictions of one's belief against objective data. But interpreting visualized data is a complex perceptual and cognitive process. Through two crowdsourced experiments, we demonstrate that supposedly objective assessments of the strength of a correlational relationship can be influenced by how strongly a viewer believes in the existence of that relationship. Participants viewed scatterplots depicting a relationship between meaningful variable pairs (e.g., number of environmental regulations and air quality) and estimated their correlations. They also estimated the correlation of the same scatterplots labeled instead with generic 'X' and 'Y' axes. In a separate section, they also reported how strongly they believed there to be a correlation between the meaningful variable pairs. Participants estimated correlations more accurately when they viewed scatterplots labeled with generic axes compared to scatterplots labeled with meaningful variable pairs. Furthermore, when viewers believed that two variables should have a strong relationship, they overestimated correlations between those variables by an r-value of about 0.1. When they believed that the variables should be unrelated, they underestimated the correlations by an r-value of about 0.1. While data visualizations are typically thought to present objective truths to the viewer, these results suggest that existing personal beliefs can bias even objective statistical values people extract from data.
When analyzing complex longitudinal data, especially data from different educational settings, researchers generally focus only on the mean part (i.e., the regression coefficients), ignoring the equally important random part (i.e., the random effect variances) of the model. By using Project English Language and Literacy Acquisition (ELLA) data, we demonstrated the importance of taking the complex data structure into account by carefully specifying the random part of the model, showing that not only can it affect the variance estimates, the standard errors, and the tests of significance of the regression coefficients, it also can offer different perspectives of the data, such as information related to the developmental process. We used xxM (Mehta, 2013), which can flexibly estimate different grade-level variances separately and the potential carryover effect from each grade factor to the later time measures. Implications of the findings and limitations of the study are discussed.
When Bryn Mawr College opened in 1885, then-president James Rhoads highlighted the precautions taken to ensure that the young women students would remain healthy, in reaction to the publicized warnings of Scottish physician Thomas S. Clouston, M.D. Dr. Clouston's concern that girls' higher education would damage their health epitomized a growing anxiety around the status of wives and mothers at a time of increased educational opportunities for the so-called 'fairer sex'. To counter these opinions, college alumnae and administrators turned to statistics. Through a combination of published statistics and informal anecdotes, this article provides an in-depth study of how marriage data were solicited, tabulated, and framed at Bryn Mawr College during the Progressive Era, contributing a detailed case-study to the historiography on the period's debates over educated women. The tension between marriage and a career in research was acutely apparent to the women in academia who were at once responsible for the statistical analysis and among the subjects under investigation. While the survey design and published results emphasized the desired outcome of marriage after graduation, these same documents also offered space for emerging professional trajectories.
When compared to their urban counterparts, rural regions have worse health outcomes and more challenges in health care access. As the only island state in the US, Hawai'i's unique geographic layout may magnify these disparities. However, there are limited publications on the impact of urban-rural disparities in health care in Hawai'i. The study team aimed to identify the challenges rural health care providers face when managing treatment of Parkinson's disease (PD), a complex disease. A self-administered survey was sent to 247 eligible providers who practiced in Hawai'i and prescribed PD medications from 2017-2019. The survey assessed: provider's comfort level in PD management; utilization and accessibility of health care services; perspective on barriers to PD care; and perspective on telemedicine. Providers were categorized into O'ahu providers (OP, urban) and neighbor island (Hawai'i, Kaua'i, and Maui) providers (NIP, rural). The final sample size was 44 providers (18% response rate). NIP were significantly less likely than OP to report access to social workers (P=.025), geriatric services (P=.001), and psychologist/psychiatrist/mental health professionals (P=.009). There were no statistical differences in: criteria used for PD diagnosis, resources utilized for PD education, and comfort in prescribing PD medications. The findings show that NIP are just as engaged and capable in providing PD care as OP. However, NIP encounter more limitations to accessibility, which can affect the quality of PD care that their rural patients receive. Further research is needed to understand how these limitations affect health-related outcomes in PD as well as other chronic diseases.
When deciding how long to keep waiting for delayed rewards that will arrive at an uncertain time, different distributions of possible reward times dictate different optimal strategies for maximizing reward. When reward timing distributions are heavy-tailed (e.g., waiting on hold) there is a point at which waiting is no longer advantageous because the opportunity cost of waiting is too high. Alternatively, when reward timing distributions have more predictable timing (e.g., uniform), it is advantageous to wait as long as necessary for the reward. Although people learn to approximate optimal strategies, little is known about how this learning occurs. One possibility is that people learn a general cognitive representation of the probability distribution that governs reward timing and then infer a strategy from that model of the environment. Another possibility is that they learn an action policy in a way that depends more narrowly on direct task experience, such that general knowledge of the reward timing distribution is insufficient for expressing the optimal strategy. Here, in a series of studies in which participants decided how long to persist for delayed rewards before quitting, we provided participants with information about the reward timing distribution in several ways. Whether the information was provided through counterfactual feedback (Study 1), previous exposure (Studies 2a and 2b), or description (Studies 3a and 3b), it did not obviate the need for direct, feedback-driven learning in a decision context. Therefore, learning when to quit waiting for delayed rewards might depend on task-specific experience, not solely on probabilistic reasoning.
When dental practitioners encounter a defective restoration, they are faced with a crucial decision whether to repair or replace it. This study aims to explore international preferences for repair procedures and the clinical steps taken during the repair process. An 11-question survey was distributed to dentists across 21 countries via different platforms. The survey comprised two sections: the first included five questions aimed at gathering demographic information, while the second consisted of six questions focusing on participants' practices related to the repair of composite or amalgam restorations A meta-analysis was employed to ascertain the pooled odds ratio of repairing versus replacement. The statistical analysis was carried out using the RevMan 5.3 program and forest plots were generated using the same program to visualize the results. The survey was completed by 3680 dental practitioners. The results indicated a strong tendency to repair defective composite restorations (OR: 14.23; 95% CI: 7.40, 27.35, p<0.001). In terms of amalgam, there was a significant tendency to replace the restorations (OR: 0.19; 95% CI: 0.12, 0.30, p<0.001). When repairing restorations, the most common protocols were etching with orthophosphoric acid and creating an enamel bevel, regardless of the restorative material used. The findings of this study indicate that there exists a knowledge gap among dental practitioners regarding restoration repair. It is imperative that dental practitioners receive proper education and training on restoration repair, to ensure the usage of adequate protocols and restoration survival.