Yoxas/statistical_literacy huggingface dataset:
High rates of depression and suicide and a lack of trained psychiatrists have emerged as significant concerns in the low-income and middle-income countries (LMICs) such as the Pacific Island Countries (PICs). Readily available smartphones were leveraged with community health nurses (CHNs) in task-sharing for early identification of suicide and depression risks in Fiji Islands, the largest of PICs. This investigation examines how CHNs can efficiently and effectively process patient information about depression and suicide risk for making diagnostic and management decisions without compromising safety. The research is driven by the theoretical framework of text comprehension (knowledge representation and interpretation) and decision-making. Mobile health (mHealth) Application for Suicide Risk and Depression Assessment (ASRaDA) was designed to include culturally useful clinical guidelines for these disorders. A representative sample of 48 CHNs was recruited and presented with two clinical cases (depression and suicide) in a simulated setting under three conditions: No support, paper-based and mobile-based culturally valid guideline support. Data were collected as the nurses read through the scenarios, 'thinking aloud', before summarising, diagnoses and follow-up recommendations. Transcribed audiotapes were analysed using formal qualitative discourse analysis methods for diagnostic accuracy, comprehension of clinical problems and reasoning patterns. Using guidelines on ASRaDA, the CHNs took less time to process patient information with more accurate diagnostic and therapeutic decisions for depression and suicide risk than with paper-based or no guideline conditions. A change in reasoning pattern for nurses' information processing was observed with decision support.DiscussionAlthough these results are shown in a mental health setting in Fiji, there are reasons to believe they are generalisable beyond mental health and other lower-to-middle income countries. Culturally appropriate clinical guidelines on mHealth supports efficient information processing for quick and accurate decisions and a positive shift in reasoning behaviour by the nurses. However, translating complex qualitative patient information into quantitative scores could generate conceptual errors. These results are valid in simulated conditions.
High rates of posthospitalization errors are observed in children with medical complexity (CMC). Poor parent comprehension of and adherence to complex discharge instructions can contribute to errors. Pediatrician views on common barriers and facilitators to parent comprehension and adherence are understudied. To examine pediatrician perspectives on barriers and facilitators experienced by parents in comprehension of and adherence to inpatient discharge instructions for CMC. We conducted a qualitative, descriptive study of attending pediatricians (n = 20) caring for CMC in inpatient settings (United States and Canada) and belonging to listservs for pediatric hospitalists/complex care providers. We used purposive/maximum variation sampling to ensure heterogeneity (e.g., hospital, region). A multidisciplinary team designed and piloted a semistructured interview guide with pediatricians who care for CMC. Team members conducted semistructured interviews via phone or video call. Interviews were audiorecorded and transcribed. We analyzed transcripts using content analysis; codes were derived a priori from a conceptual framework (based on the Pediatric Self-Management Model) and a preliminary transcript analysis. We applied codes and identified emerging themes. Pediatricians identified three themes as barriers and facilitators to discharge instruction comprehension and adherence: (1) regimen complexity, (2) access to the healthcare team (e.g., inpatient team, outpatient pediatrician, home nursing) and resources (e.g., medications, medical equipment), and (3) need for a family centered and health literacy-informed approach to discharge planning and education. Next steps include the assessment of parent perspectives on barriers and facilitators to discharge instruction comprehension and adherence for prents of CMC and the development of intervention strategies.
High stakes examinations used to credential trainees for independent specialist practice should be evaluated periodically to ensure defensible decisions are made. This study aims to quantify the College of Intensive Care Medicine of Australia and New Zealand (CICM) Hot Case reliability coefficient and evaluate contributions to variance from candidates, cases and examiners. This retrospective, de-identified analysis of CICM examination data used descriptive statistics and generalisability theory to evaluate the reliability of the Hot Case examination component. Decision studies were used to project generalisability coefficients for alternate examination designs. Examination results from 2019 to 2022 included 592 Hot Cases, totalling 1184 individual examiner scores. The mean examiner Hot Case score was 5.17 (standard deviation 1.65). The correlation between candidates' two Hot Case scores was low (0.30). The overall reliability coefficient for the Hot Case component consisting of two cases observed by two separate pairs of examiners was 0.42. Sources of variance included candidate proficiency (25%), case difficulty and case specificity (63.4%), examiner stringency (3.5%) and other error (8.2%). To achieve a reliability coefficient of > 0.8 a candidate would need to perform 11 Hot Cases observed by two examiners. The reliability coefficient for the Hot Case component of the CICM second part examination is below the generally accepted value for a high stakes examination. Modifications to case selection and introduction of a clear scoring rubric to mitigate the effects of variation in case difficulty may be helpful. Increasing the number of cases and overall assessment time appears to be the best way to increase the overall reliability. Further research is required to assess the combined reliability of the Hot Case and viva components.
High utilizers of acute care in nonurban settings are at risk for poor health outcomes. Much of Massachusetts is nonurban, with many residents experiencing limited access to health care providers, fragmented health care services, inadequate housing, and low health literacy. This study examines patient perspectives on the Community Hospital Acceleration, Revitalization, and Transformation (CHART) investment program, a state-based grant program focused on advancing community hospitals toward value-based care. We found that CHART staff engaged patients in care coordination and patient advocacy, promoted patient agency and health literacy, and provided socioemotional support. These findings may help inform future program development around meeting the medical and social needs of high utilizers of health care services.
High-dimensional classification is an important statistical problem that has applications in many areas. One widely used classifier is the Linear Discriminant Analysis (LDA). In recent years, many regularized LDA classifiers have been proposed to solve the problem of high-dimensional classification. However, these methods rely on inverting a large matrix or solving large-scale optimization problems to render classification rules-methods that are computationally prohibitive when the dimension is ultra-high. With the emergence of big data, it is increasingly important to develop more efficient algorithms to solve the high-dimensional LDA problem. In this paper, we propose an efficient greedy search algorithm that depends solely on closed-form formulae to learn a high-dimensional LDA rule. We establish theoretical guarantee of its statistical properties in terms of variable selection and error rate consistency; in addition, we provide an explicit interpretation of the extra information brought by an additional feature in a LDA problem under some mild distributional assumptions. We demonstrate that this new algorithm drastically improves computational speed compared with other high-dimensional LDA methods, while maintaining comparable or even better classification performance.
High-level literacy skills are required for full participation in the democratic process through voting. Consequently, adults with low-level literacy skills are at a disadvantage. This work investigated the disparity between the readability of U.S. ballot propositions for year 2022 state elections and grade level reading estimates (≤eighth grade) for adults. Educational attainment was also examined. Propositions (n = 140) from 38 states were included. Mean readability was 18 (range 7.0-64.0). Only four measures (3%) fell within range of national estimates for adult reading ability. Thirty-nine percent of adults completed high school or less, yet 74% of ballots were written well above a high school reading level. There is a discrepancy between the literacy skills of the average voter and the readability of most propositions. The findings of this study have important implications for individuals with learning disabilities. Policy changes and educational support efforts should be initiated.
High-need, high-cost (HNHC) patients represent a small proportion of patients in the US, but result in disproportionately higher healthcare utilization. Teaching Internal Medicine (IM) resident trainees to provide high value care for HNHC patients is critical. We sought to improve resident attitudes and increase clinical skills associated with treating HNHC patients by creating a curriculum that leveraged the UCLA Extensivist Program, a patient-centered medical home for HNHC patients. We developed a curriculum for PGY-2 and PGY-3 IM residents centered on caring for HNHC patients over the course of 6, 4h sessions during 1 academic year. Participants completed pre- and post-intervention surveys assessing self-rated attitudes and skills associated with caring for an HNHC patient population. Twenty-one IM residents completed the curriculum and 41 were in the control group. There were no statistically significant differences in assessed attitudes and skills, but there were trends of improvement, including a decrease in participants who agreed or strongly agreed they felt overwhelmed when seeing patients for posthospital discharge follow up (45.0% pre- to 41.7% post-intervention) and an increase in participants who agreed or strongly agreed they have the skills to successfully transition HNHC patients between inpatient and ambulatory settings (20.0% pre- to 33.3% post-intervention). Participants reported better understanding of resources available to HNHC patients, effective coordination of transitions of care, and comprehensive assessment of social determinants of health. A curriculum to improve resident attitudes and skills associated with caring for HNHC patients was successfully implemented in an IM program at a large academic medical center. The curriculum may be adapted for other training programs; long-term training woven throughout training may be important to significantly improve resident education on how to care for HNHC patients.
High-performing primary care is recognised as the foundation of an effective and efficient healthcare system. Many medical graduates report they are not prepared for independent practice. To date, no research has been conducted to identify the key capabilities and competencies of high-performing family medicine graduates in Canada. This pilot project aims to identify the capabilities and competencies of high-performing early-career family physicians in Ontario, Canada, and explore opportunities for enhancing learning, teaching and assessment within family medicine residency programmes. Employing a mixed-methods explanatory sequential study design, this research will use a theory-driven Professional Capability Framework, previously validated in studies across nine professions, to guide the investigation. The first (quantitative) phase involves surveying ~50 high-performing early-career family physicians identified as high performing by educators, colleagues and leaders. The objective of the survey is to identify the key competencies and personal, interpersonal and cognitive capabilities of high-performing family physicians. The second (qualitative) phase involves conducting workshops with stakeholders, including educators, professional associations, regulators and colleges, to test the veracity of the results. Quantitative data will be analysed using descriptive statistics, and qualitative data will be analysed using Braun and Clarke's thematic analysis. The first and second phases will identify the key capabilities and competencies required to confidently adapt to the independent practice of comprehensive family medicine and inform fit-for-purpose educational strategies for teaching, learning and assessment. The study is approved by the University of Toronto's Health Sciences Research Ethics Board (#41799). Research findings will be discussed with professional bodies, educators responsible for family medicine curricula and universities. Study findings will also be disseminated through academic conferences and academic publications in peer-reviewed journals. Project summaries and infographics will be developed and disseminated to key stakeholders.
High-quality early childcare and education (ECE) has demonstrated long-term associations with positive educational and life outcomes and can be particularly impactful for children from low-income backgrounds. This study extends the literature on the long-term associations between high-quality caregiver sensitivity and responsiveness and cognitive stimulation (i.e., caregiving quality) in ECE settings and success in science, technology, engineering, and mathematics (STEM) in high school. Using the 1991 National Institute of Child Health and Human Development Study of Early Child Care and Youth Development (n = 1,096; 48.6% female; 76.4% White, 11.3% African American, 5.8% Latine, 6.5% other), results demonstrated that caregiving quality in ECE was associated with reduced disparities between low- and higher-income children's STEM achievement and school performance at age 15. Disparities in STEM school performance (i.e., enrollment in advanced STEM courses and STEM grade point average) and STEM achievement (i.e., Woodcock-Johnson cognitive battery) were reduced when children from lower-income families experienced more exposure to higher caregiving quality in ECE. Further, results suggested an indirect pathway for these associations from caregiving quality in ECE to age 15 STEM success through increased STEM achievement in Grades 3 through 5 (ages 8-11 years). Findings suggest that community-based ECE is linked to meaningful improvements in STEM achievement in Grades 3 through 5 which in turn relates to STEM achievement and school performance in high school, and caregiving quality in ECE is particularly important for children from lower-income backgrounds. This work has implications for policy and practice positioning caregivers' cognitive stimulation and sensitivity in ECE settings across the first 5 years of life as a promising lever for bolstering the STEM pipeline for children from lower-income backgrounds. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
High-risk HPV is considered a major risk factor for the development of cervical cancer, the most common malignancy among women in Uganda. However, there is a paucity of updated epidemiological data on the extent of the burden and factors associated with hr-HPV infection among women of reproductive age. The aim of this study was to determine the prevalence and genotype distribution of hr-HPV and associated factors among women of reproductive age attending a rural teaching hospital in western Uganda. We conducted a cross-sectional study from April to June 2022. A total of 216 women of reproductive age attending the gynecological outpatient clinic were consecutively enrolled. Interviewer-administered questionnaires were used to collect participant characteristics, cervical specimens were collected by clinicians, and molecular HPV testing was performed using the Cepheid Xpert HPV DNA test. Descriptive statistics followed by binary logistic regression were conducted using SPSS version 22. The prevalence of hr-HPV was 16.67%. Other hr-HPV types other than HPV 16 and 18 were predominant, with a prevalence of 10.6%; HPV 18/45 (2.31%), HPV 16 (0.46%), and 3.24% of the study participants had more than one hr-HPV genotype. On multivariate logistic regression, an HIV-positive status (aOR = 7.06, CI: 2.77-10.65, p = 0.007), having 3 or more sexual partners in life (aOR = 15.67, CI: 3.77-26.14, p = 0.008) and having an ongoing abnormal vaginal discharge (aOR = 5.37, CI: 2.51-11.49, p = 0.002) were found to be independently associated with hr-HPV infection. The magnitude of hr-HPV is still high compared to the global prevalence. HIV-positive women and those in multiple sexual relationships should be prioritized in cervical cancer screening programs. The presence of abnormal vaginal discharge in gynecology clinics should prompt HPV testing.
High-risk human papillomavirus (HR-HPV) infection is the primary reason for cervical cancer and precancerous lesions in females. Specific immune alterations in pregnancy led to greater HR-HPV replication and reduced clearance of HR-HPV infection. This study retrospectively obtained and analyzed data from a tertiary hospital in Beijing, China. We aimed to ascertain both the genotype distribution and prevalence of HR-HPV in pregnant females. Moreover, we sought to analyze the association of HR-HPV with maternal-fetal pregnancy outcomes. The retrospective observational cohort study was divided into two parts. Part I evaluated the genotype distribution and prevalence of HR-HPV. It encompassed 6285 pregnant women who underwent a routine pregnancy check-up, Thin Prep cytology test (TCT), and HR-HPV diagnosis during weeks 12-14 of gestation between January 1, 2013, and December 31, 2021. Part II analyzed the association between HR-HPV infection and maternal-fetal pregnancy outcome. Through a nearest-neighbor 1:1 propensity score matching (PSM), we matched HR-HPV-positive and HR-HPV-negative pregnant women using caliper width equal to 0.02. After PSM, 171 HR-HPV-positive and 171 HR-HPV-negative pregnant women were included to analyze the association between HR-HPV infection and maternal-fetal pregnancy outcome. In total 737 (11.73%) pregnant women were HR-HPV positive. The five most common genotypes of HR-HPV were HPV-52 (2.90%), HPV-58 (2%), HPV-16 (1.94%), HPV-51 (1.38%), and HPV-39 (1.29%). As for age-specific HPV prevalence, a "U-shaped" pattern was observed. The first and second peaks were detected in pregnant females aged <25 years and those aged ≥35 years, respectively. Our study found no significant difference between the HR-HPV-positive and the HR-HPV-negative pregnant females in the following maternal-fetal pregnancy outcomes: spontaneous abortion (1.2% for HR-HPV positive, 0% for HR-HPV negative, p = 0.478), preterm delivery (4.7% for HR-HPV positive, 5.3% for HR-HPV negative, p = 0.804), premature rupture of membrane (28.8% for HR-HPV positive, 22.8% for HR-HPV negative, p = 0.216), preeclampsia (7.6% for HR-HPV positive, 7.6% for HR-HPV negative, p = 1), oligohydramnios (8.2% for HR-HPV positive, 7% for HR-HPV negative, p = 0.683), fetal growth restriction (1.8% for HR-HPV positive, 0.6% for HPV negative, p = 0.615), placenta previa (1.2% for HR-HPV positive, 0.6% for HR-HPV negative, p = 1), postpartum hemorrhage (8.9% for HR-HPV positive, 11.2% for HR-HPV negative, p = 0.47). There was also no significant difference in delivery mode or birth weight between the two groups. HPV-16, 52, and 58 were the most prevalent infection genotypes in pregnant females. The study showed no significant differences between HR-HPV-positive and HR-HPV-negative groups in the maternal-fetal pregnancy outcomes.
High-risk medications like benzodiazepines, sedative hypnotics, and antipsychotics are commonly prescribed for hospitalized older adults, despite guidelines recommending avoidance. Prior interventions have not fully addressed how physicians make such prescribing decisions, particularly when experiencing stress or cognitive overload. Simulation training may help improve prescribing decision-making but has not been evaluated for overprescribing. In this two-arm pragmatic trial, we randomized 40 first-year medical resident physicians (i.e., interns) on inpatient general medicine services at an academic medical center to either intervention (a 40-minute immersive simulation training) or control (online educational training) groups. The primary outcome was the number of new benzodiazepine, sedative hypnotic, or antipsychotic orders for treatment-naïve older adults during hospitalization. Secondary outcomes included the same outcome by all providers, being discharged on one of the medications, and orders for related or control medications. Outcomes were measured using electronic health record data over each intern's service period (~2 weeks). Outcomes were evaluated using generalized estimating equations, adjusting for clustering. In total, 522 treatment-naïve older adult patients were included in analyses. Over follow-up, interns prescribed ≥1 high-risk medication for 13 (4.9%) intervention patients and 13 (5.0%) control patients. The intervention led to no difference in the number of new prescriptions (Rate Ratio [RR]: 0.85, 95%CI: 0.31-2.35) versus control and no difference in secondary outcomes. In secondary analyses, intervention interns wrote significantly fewer "as-needed" ("PRN") order types for the high-risk medications (RR: 0.29, 95%CI: 0.08-0.99), and instead tended to write more "one-time" orders than control interns, though this difference was not statistically significant (RR: 2.20, 95%CI: 0.60-7.99). Although this simulation intervention did not impact total high-risk prescribing for hospitalized older adults, it did influence how the interns prescribed, resulting in fewer PRN orders, suggesting possibly greater ownership of care. Future interventions should consider this insight and implementation lessons raised. Clinicaltrials.gov(NCT04668248).
High-risk strains of Human Papillomavirus (HPV) can lead to the development of a number of cancers including cervical, vulvar, penile, anal and oropharyngeal. HPV vaccination programmes offer the HPV vaccine to males and females 12-13 years old in schools throughout the UK. However, knowledge of HPV remains low in post-primary schools. The aim of this study is to capture 15-16 year old students' perceptions regarding the current provision of HPV education, and whether providing HPV education to 15-16 year olds could influence their intention to be vaccinated and/or future sexual health decisions related to HPV. Between 5th November 2021 and 6th May 2022, seven focus groups were conducted with 34 students in post-primary schools in Northern Ireland, United Kingdom. The data was analysed using the COM-B behaviour model to explore the perceived facilitators and barriers impacting students' ability to protect themselves from acquirement of HPV. Students perceived their knowledge of HPV to be poor and supported the addition of comprehensive mandatory HPV education at 15-16 years old when many of them were becoming sexually active. They identified barriers including lack of parental education, school ethos and religion and insufficient education regarding their legal rights to self-consent to HPV vaccination. Students felt that removal of these barriers would lead to safer sexual practices, increased awareness of the importance of HPV screening and increased HPV vaccination uptake. The recommendations provided by students need to be supported by the Education Authority in conjunction with the Department of Health in order to be successfully implemented into the post-primary school curriculum.