Yoxas/statistical_literacy huggingface dataset:
The human papillomavirus (HPV) vaccine is safe and effective, yet vaccination coverage remains below public health objectives in many countries. To examine the effectiveness of a 3-component intervention on HPV vaccination coverage among adolescents aged 11 to 14 years 2 months after the intervention ended, each component being applied alone or in combination. A cluster randomized trial with incomplete factorial design (PrevHPV) was conducted between July 1, 2021, and April 30, 2022, in French municipalities receiving 0, 1, 2, or 3 components of the intervention. Randomization was stratified by school district and municipalities' socioeconomic level. Analyses were carried out on 11- to 14-year-old adolescents living in all participating municipalities, regardless of what had been implemented. The PrevHPV intervention had 3 components: (1) educating and motivating 11- to 14-year-old adolescents in middle schools, along with their parents; (2) training general practitioners (GPs) on up-to-date HPV information and motivational interviewing techniques; and (3) free HPV vaccination at school. The primary outcome was HPV vaccination coverage (≥1 dose) 2 months after the intervention ended among 11- to 14-year-old adolescents living in participating municipalities, based on the French national reimbursement database and data collected during the trial in groups randomized to implement at-school vaccination. A total of 91 municipalities comprising 30 739 adolescents aged 11 to 14 years (15 876 boys and 14 863 girls) were included and analyzed. Half the municipalities were in the 2 lowest socioeconomic quintiles and access to GPs was poor in more than two-thirds of the municipalities. Thirty-eight of 61 schools (62.3%) implemented actions and 26 of 45 municipalities (57.8%) had at least 1 trained GP. The median vaccination coverage increased by 4.0 percentage points (IQR, 2.0-7.3 percentage points) to 14.2 percentage points (IQR, 9.1-17.3 percentage points) at 2 months. At-school vaccination significantly increased vaccination coverage (5.50 percentage points [95% CI, 3.13-7.88 percentage points]) while no effect was observed for adolescents' education and motivation (-0.08 percentage points [95% CI, -2.54 to 2.39 percentage points]) and GPs' training (-1.46 percentage points [95% CI, -3.44 to 0.53 percentage points]). Subgroup analyses found a significant interaction between at-school vaccination and access to GPs, with a higher effect when access was poor (8.62 percentage points [95% CI, 5.37-11.86 percentage points] vs 2.13 percentage points [95% CI, -1.25 to 5.50 percentage points]; P = .007 for interaction). In this cluster randomized trial, within the context of the late COVID-19 pandemic period and limited school and GP participation, at-school HPV vaccination significantly increased vaccination coverage. The trial did not show a significant effect for training GPs and education and motivation, although it may be observed after more time has elapsed after the intervention. ClinicalTrials.gov Identifier: NCT04945655.
The identification of abnormal findings manifested in retinal fundus images and diagnosis of ophthalmic diseases are essential to the management of potentially vision-threatening eye conditions. Recently, deep learning-based computer-aided diagnosis systems (CADs) have demonstrated their potential to reduce reading time and discrepancy amongst readers. However, the obscure reasoning of deep neural networks (DNNs) has been the leading cause to reluctance in its clinical use as CAD systems. Here, we present a novel architectural and algorithmic design of DNNs to comprehensively identify 15 abnormal retinal findings and diagnose 8 major ophthalmic diseases from macula-centered fundus images with the accuracy comparable to experts. We then define a notion of counterfactual attribution ratio (CAR) which luminates the system's diagnostic reasoning, representing how each abnormal finding contributed to its diagnostic prediction. By using CAR, we show that both quantitative and qualitative interpretation and interactive adjustment of the CAD result can be achieved. A comparison of the model's CAR with experts' finding-disease diagnosis correlation confirms that the proposed model identifies the relationship between findings and diseases similarly as ophthalmologists do.
The identification of the determinants of health literacy is an essential prerequisite for developing health literacy promotion programs. While these factors have been reported in previous studies, there is a lack of a comprehensive review specifically focused on the Iranian population. Therefore, this review aimed to identify the factors related to health literacy in Iran. This scoping review used the Arksey and O'Malley methodological framework and the Joanna Briggs Institute framework. A search was performed in English-language databases-Web of Science, Scopus, and PubMed-using the MeSH keyword of "health literacy," and in Persian-language databases-Magirean and SID-using the related keywords. A narrative synthesis was conducted to describe all included studies' characteristics and explore factors associated with health literacy. A total of 76 studies were included. Based on the results of the study, related factors included personal factors-including sex, age, education level, field of study, parents' education level, marital status, occupation, work experience, employment status, ethnicity, income, socioeconomic status, medical history, duration of disease, addiction, number of children, media literacy, information literacy, computer literacy, and self-efficacy-situational factors-including use of the internet, use of social networks, social support, source of information, and participation in health education classes-and societal and environmental factors-including place of residence and type of insurance. Modifiable factors identified in this study were self-efficacy, social support, information sources, media literacy, information literacy, computer literacy, internet or social networks, and participation in health education classes. Planners can consider these factors when developing interventions to promote health literacy.
The illegal dumping of solid waste is a prevalent issue in Nigeria, affecting all states. Lagos State, in particular, faces waste disposal problems that stem from urbanization, negative public perception towards waste management, insufficient waste disposal education, poor waste disposal practices, and the disposal of waste at illegal and unauthorized sites. This situation is further exacerbated by inadequate municipal solid waste (MSW) collection rates, making it challenging to combat illegal dumping effectively. To align with Sustainable Development Goal (SDG) 11 of Sustainable Cities, which seeks to minimize negative environmental effects associated with managing MSW by 2030, this study aims to assess the environmental and health impact of illegal dumping of solid waste in Lagos State. The objectives of this study include assessing people's attitudes towards illegal dumping, evaluating the extent of environmental degradation resulting from illegal solid waste dumping in Lagos, and assessing the health risks associated with exposure to illegally dumped solid waste in Lagos State, as well as determining if illegal dumping contributes to the diseases prevalent in Lagos State. This study will use a quantitative approach to collect data from study participants on demographics, educational background, waste management, and environmental and health issues using computer-assisted self-administered questionnaires (Google Forms). This study will also use observations and photographs of illegally dumped waste in communities and major illegal dumpsites in the study area to provide valuable information to complement the questionnaire responses. By combining both approaches, the study will be able to capture both numerical data and people's behaviors and attitudes associated with illegal dumping. This study will use a mixed sampling method consisting of cluster sampling and convenience sampling, focusing on communities impacted by illegal dumping in Lagos State. The sample size for this study will be 100. The questionnaire for this study will be administered via a Google Forms link that will be shared through various online platforms, enabling participants to access and complete the questionnaire from any location with internet access. To ensure representative participation, as part of the informed consent form on the initial page of the online questionnaire, a screening question that requires participants to indicate if they live or work in the study areas or have been exposed to the impact of illegal dumping will be included. Only those who meet these criteria will be able to proceed with the study. The primary data obtained will be carefully analyzed using the Statistical Package for the Social Sciences (SPSS) version 28. The study's results will highlight the importance of the linkage between illegal dumping, environmental degradation, and diseases prevalent in Lagos State, which could inform policymakers and relevant departments in developing effective strategies to improve public health.
The immunologic milieu at the maternal-fetal interface has profound effects on propelling the development of the fetal brain. However, accessible epidemiological studies concerning the association between placental inflammatory cytokines and the intellectual development of offspring in humans are limited. Therefore, we explored the possible link between mRNA expression of inflammatory cytokines in placenta and preschoolers' cognitive performance. Study subjects were obtained from the Ma'anshan birth cohort (MABC). Placental samples were collected after delivery, and real-time quantitative polymerase chain reaction (RT-qPCR) was utilized to measure the mRNA expression levels of IL-8, IL-1β, IL-6, TNF-α, CRP, IFN-γ, IL-10, and IL-4. Children's intellectual development was assessed at preschool age by using the Wechsler Preschool and Primary Scale of Intelligence, Fourth Edition (WPPSI-IV). Multiple linear regression and restricted cubic spline models were used for statistical analysis. A total of 1665 pairs of mother and child were included in the analysis. After adjusting for confounders and after correction for multiple comparisons, we observed that mRNA expression of IL-8 (β = - 0.53; 95% CI, - 0.92 to - 0.15), IL-6 (β = - 0.58; 95% CI, - 0.97 to - 0.19), TNF-α (β = - 0.37; 95% CI, - 0.71 to - 0.02), and IFN-γ (β = - 0.31; 95% CI, - 0.61 to - 0.03) in the placenta was negatively associated with preschoolers' full scale intelligence quotient (FSIQ). Both higher IL-8 and IL-6 were associated with lower children's low fluid reasoning index (FRI), and higher IFN-γ was associated with lower children's working memory index (WMI). After further adjusting for confounders and children's age at cognitive testing, the integrated index of six pro-inflammatory cytokines (index 2) was found to be significantly and negatively correlated with both the FSIQ and each sub-dimension (verbal comprehension index (VCI), visual spatial index (VSI), FRI, WMI, processing speed index (PSI)). Sex-stratified analyses showed that the association of IL-8, IFN-γ, and index 2 with children's cognitive development was mainly concentrated in boys. Evidence of an association between low cognitive performance and high expression of placental inflammatory cytokines (IL-8, IL-6, TNF-α, and IFN-γ) was found, highlighting the potential importance of intrauterine placental immune status in dissecting offspring cognitive development.
The impact of attention problems on academic and social functioning coupled with the large number of children failing to respond to stimulant medication or behavioral therapy makes adjunctive therapies such as cognitive training appealing for families and clinicians of children with attention difficulties or childhood attention deficit hyperactivity disorder. However, the results of cognitive training studies have failed to find far transfer effects with this population. This study examined the quantitative cognitive effects and parent-reported behavioral effects of a clinician-delivered cognitive training program with children who have attention problems. Using a randomized controlled study design, we examined the impact of a clinician-delivered cognitive training program on processing speed, fluid reasoning, memory, visual processing, auditory processing, attention, overall intelligence quotient score, and behavior of students (n=13) aged 8-14 years with attention problems. Participants were randomly assigned to either a waitlist control group or a treatment group for 60 hours of cognitive training with ThinkRx, a clinician-delivered intervention that targets multiple cognitive skills with game-like, but rigorous mental tasks in 60-90-minute training sessions at least 3 days per week. Results included greater mean pretest to posttest change scores on all variables for the treatment group versus the control group with statistically significant differences noted in working memory, long-term memory, logic and reasoning, auditory processing, and intelligence quotient score. Qualitative outcomes included parent-reported changes in confidence, cooperation, and self-discipline. Children with attention problems who completed 60 hours of clinician-delivered ThinkRx cognitive training realized both cognitive and behavioral improvements.
The impact of context on the complex process of clinical reasoning is not well understood. Using situated cognition as the theoretical framework and videos to provide the same contextual "stimulus" to all participants, we examined the relationship between specific contextual factors on diagnostic and therapeutic reasoning accuracy in board certified internists versus resident physicians. Each participant viewed three videotaped clinical encounters portraying common diagnoses in internal medicine. We explicitly modified the context to assess its impact on performance (patient and physician contextual factors). Patient contextual factors, including English as a second language and emotional volatility, were portrayed in the videos. Physician participant contextual factors were self-rated sleepiness and burnout.. The accuracy of diagnostic and therapeutic reasoning was compared with covariates using Fisher Exact, Mann-Whitney U tests and Spearman Rho's correlations as appropriate. Fifteen board certified internists and 10 resident physicians participated from 2013 to 2014. Accuracy of diagnostic and therapeutic reasoning did not differ between groups despite residents reporting significantly higher rates of sleepiness (mean rank 20.45 vs 8.03, U = 0.5, p < .001) and burnout (mean rank 20.50 vs 8.00, U = 0.0, p < .001). Accuracy of diagnosis and treatment were uncorrelated (r = 0.17, p = .65). In both groups, the proportion scoring correct responses for treatment was higher than the proportion scoring correct responses for diagnosis. This study underscores that specific contextual factors appear to impact clinical reasoning performance. Further, the processes of diagnostic and therapeutic reasoning, although related, may not be interchangeable. This raises important questions about the impact that contextual factors have on clinical reasoning and provides insight into how clinical reasoning processes in more authentic settings may be explained by situated cognition theory.
The impact of environmental change on the reproduction and survival of wildlife is often behaviourally mediated, placing behavioural ecology in a central position to quantify population- and community-level consequences of anthropogenic threats to biodiversity. This theme issue demonstrates how recent conceptual and methodological advances in the discipline are applied to inform conservation. The issue highlights how the focus in behavioural ecology on understanding variation in behaviour between individuals, rather than just measuring the population mean, is critical to explaining demographic stochasticity and thereby reducing fuzziness of population models. The contributions also show the importance of knowing the mechanisms by which behaviour is achieved, i.e. the role of learning, reasoning and instincts, in order to understand how behaviours change in human-modified environments, where their function is less likely to be adaptive. More recent work has thus abandoned the 'adaptationist' paradigm of early behavioural ecology and increasingly measures evolutionary processes directly by quantifying selection gradients and phenotypic plasticity. To support quantitative predictions at the population and community levels, a rich arsenal of modelling techniques has developed, and interdisciplinary approaches show promising prospects for predicting the effectiveness of alternative management options, with the social sciences, movement ecology and epidemiology particularly pertinent. The theme issue furthermore explores the relevance of behaviour for global threat assessment, and practical advice is given as to how behavioural ecologists can augment their conservation impact by carefully selecting and promoting their study systems, and increasing their engagement with local communities, natural resource managers and policy-makers. Its aim to uncover the nuts and bolts of how natural systems work positions behavioural ecology squarely in the heart of conservation biology, where its perspective offers an all-important complement to more descriptive 'big-picture' approaches to priority setting. This article is part of the theme issue 'Linking behaviour to dynamics of populations and communities: application of novel approaches in behavioural ecology to conservation'.
The impact of opioid use disorder (OUD) in the United States continues to rise, yet this topic has limited coverage in most medical school curricula. The study partnered with academic and community harm reductionists to design a peer-assisted learning case of opioid withdrawal to teach fourth-year medical students about trauma-informed OUD care and harm reduction services during their emergency medicine clerkship. Academic and community harm reductionists iteratively codesigned this case in partnership with the research team. Community-engaged pedagogy informed this process to promote social action and power sharing through education. This case was integrated into the existing weekly peer-assisted learning curriculum (i.e., medical students teaching medical students through a structured case) for all fourth-year medical students during their required emergency medicine clinical rotation. Participants completed a postcase evaluation survey. Sixty-four medical students completed the survey between June and November 2022. A total of 98.5% of participants found the educational session quite or extremely relevant to their medical education, and 87.5% believed the case to be quite or extremely effective in achieving the learning objectives. A total of 45.3% initially felt quite or extremely competent in talking with patients about their drug use, whereas 53.2% felt quite or extremely more competent after participating in the case. Finally, 21.9% initially felt quite or extremely competent in proposing a treatment plan for a patient who uses drugs, whereas 62.5% felt quite or extremely more competent after participating in the case. This study supports the feasibility and importance of incorporating the voices of people with lived and living experience into medical school curricular development. This peer-assisted learning case focused on the treatment of OUD in the emergency department was seamlessly integrated into the existing curriculum and well received by medical students. By engaging local experts, it could easily be adapted and expanded to other sites.
The impact of outbreak response immunization (ORI) can be estimated by comparing observed outcomes to modelled counterfactual scenarios without ORI, but the most appropriate metrics depend on stakeholder needs and data availability. This study developed a framework for using mathematical models to assess the impact of ORI for vaccine-preventable diseases. Framework development involved (1) the assessment of impact metrics based on stakeholder interviews and literature reviews determining data availability and capacity to capture as model outcomes; (2) mapping investment in ORI elements to model parameters to define scenarios; (3) developing a system for engaging stakeholders and formulating model questions, performing analyses, and interpreting results; and (4) example applications for different settings and pathogens. The metrics identified as most useful were health impacts, economic impacts, and the risk of severe outbreaks. Scenario categories included investment in the response scale, response speed, and vaccine targeting. The framework defines four phases: (1) problem framing and data sourcing (identification of stakeholder needs, metrics, and scenarios); (2) model choice; (3) model implementation; and (4) interpretation and communication. The use of the framework is demonstrated by application to two outbreaks, measles in Papua New Guinea and Ebola in the Democratic Republic of the Congo. The framework is a systematic way to engage with stakeholders and ensure that an analysis is fit for purpose, makes the best use of available data, and uses suitable modelling methodology.
The impact of the COVID-19 pandemic on mental health among healthcare workers has been widely reported during the initial and ongoing phases of the COVID-19 pandemic. Yet, little remains known about the mental health status of primary healthcare workers in China during the post-pandemic era. A cross-sectional study was conducted between March 1, 2023, and May 31, 2023 in Anhui China. A total of 13,530 primary healthcare workers were recruited. Multiple logistic regression was used to identify potential factors associated with the incidence of depression and anxiety among primary healthcare workers. The prevalence of depression and anxiety among primary healthcare workers was 50.7 and 26.4%, respectively. Multiple logistic regression revealed that female gender (OR = 1.345, 95%CI = 1.222-1.479), being divorced or widowed (OR = 1.432, 95%CI = 1.128-1.817), being a nurse (OR = 1.250, 95%CI = 1.126-1.388), and working more than 8 h per day (OR = 1.710, 95%CI = 1.583-1.846) were significantly associated with depression. A higher risk of anxiety among primary healthcare workers was associated with female gender (OR = 1.338, 95%CI = 1.198-1.494), being divorced or widowed (OR = 1.373, 95%CI = 1.056-1.770), being a nurse (OR = 1.139, 95%CI = 1.013-1.282), and working more than 8 h per day (OR = 1.638, 95%CI = 1.497-1.794). Better monthly income, more than 21 years of working experience and without experience of workplace violence were protective factors against depression and anxiety during the post-pandemic era. Depressive symptoms are more common among primary healthcare workers in China during the post-pandemic era. Female gender, being divorced or widowed, being a nurse, working years, working seniority, monthly income, and experience of workplace violence were identified as associated factors. Targeted intervention is needed when developing strategies to reduce depression and improve primary healthcare workers' wellness and mental health.