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Journal, Physical Therapy Education Jun 2024Given the impetus to improve accessibility for diverse learners seeking physical therapist education, it is critical that all entry points to access information have...
INTRODUCTION
Given the impetus to improve accessibility for diverse learners seeking physical therapist education, it is critical that all entry points to access information have minimal barriers. This study identified Web site accessibility barriers among Doctor of Physical Therapy (DPT) programs in the United States.
REVIEW OF LITERATURE
Web site accessibility has been evaluated among many institutions of higher education, but none focused on DPT education. Individuals with disabilities may be adversely affected by Web site accessibility barriers.
SUBJECTS
This cross-sectional study included 262 DPT programs in the United States. Doctor of Physical Therapy program characteristics collected were geographic region, institutional control type (public/private), medical school affiliation, accreditation status, total institutional enrollment, and DPT class size.
METHODS
The Web Accessibility Evaluation (WAVE) Tool assessed data related to accessibility barriers among DPT program homepage Uniform Resource Locators. Three primary outcomes from the WAVE Tool included WAVE Total Errors, Error Density, and Total Alerts.
RESULTS
Web site homepage accessibility barriers varied among programs for WAVE Total Errors (range 0-150), Error Density (range 0-14.6%), and Total Alerts (range 1-331). Median Total Errors were greater among private (9.0) versus public (5.0) institution Web sites (P < .001). Median Total Errors were greater among those institutions not affiliated with a medical school (9.0) compared with those that had an affiliated medical school (7.0) (P = .04). No differences in accessibility barriers were identified according to geographic region or accreditation status (P > .05). Median Total Errors were significantly different between institutional enrollment quartiles (H[3] = 17.9, P < .001), with no differences noted between DPT class size quartiles for any outcome (P > .05). Generally, weak-fair inverse correlations were observed between student enrollment for the institution and Web site accessibility barrier outcomes.
DISCUSSION AND CONCLUSION
Homepage accessibility barriers varied greatly among DPT programs in the United States. Factors, including being a private institution, no medical school affiliation, and lower institutional enrollment, were related to increased accessibility barriers.
PubMed: 38954766
DOI: 10.1097/JTE.0000000000000357 -
Journal, Physical Therapy Education Jun 2024The 2 aims of this observational study are (a) to describe the implementation and feasibility of a bed mobility skills simulation-based mastery learning (SBML)...
INTRODUCTION
The 2 aims of this observational study are (a) to describe the implementation and feasibility of a bed mobility skills simulation-based mastery learning (SBML) curricular module for physical therapist students and (b) to measure learning outcomes and student perceptions of this module.
REVIEW OF LITERATURE
Simulation-based mastery learning is an outcome-based educational approach that has been successful in other health professions but has not been explored in physical therapy education.
SUBJECTS
Eighty-seven students in a single cohort of a Doctor of Physical Therapy program.
METHODS
The SBML module in this pretest-posttest study included a pretest, instruction, initial posttest, and additional rounds of instruction and assessment as needed for all learners to achieve the minimum passing standard (MPS) set using the Mastery Angoff and Patient Safety methods. Outcome measures were bed mobility assessment pass rates and scores, additional student and faculty time compared with a traditional approach, and student perceptions of their self-confidence and the module.
RESULTS
All students achieved the MPS after 3 rounds of training and assessment beyond the initial posttest. Mean Total Scores improved from 67.6% (12.9%) at pretest to 91.4% (4.8%) at mastery posttest (P < .001, Cohen's d = 1.8, 95% CI [1.4-2.1]); mean Safety Scores improved from 75.2% (16.0%) at pretest to 100.0% (0.0%) at mastery posttest (P < .001, Cohen's d = 1.5, 95% CI [1.2-1.9]). Students who did not achieve the MPS at the initial posttest (n = 30) required a mean of 1.2 hours for additional instruction and assessment. Survey results revealed an increase in student confidence (P < .001) and positive student perceptions of the module.
DISCUSSION AND CONCLUSION
Implementation of this SBML module was feasible and resulted in uniformly high levels of bed mobility skill acquisition. Based on rigorous learning outcomes, feasible requirements for implementation, and increased student confidence, SBML offers a promising approach for wider implementation in physical therapy education.
PubMed: 38954765
DOI: 10.1097/JTE.0000000000000358 -
Aging Jun 2024Immunosenescence is a process of immune dysfunction that occurs along with aging. Many studies have focused on the changes of different lymphocyte subsets in diseases...
Immunosenescence is a process of immune dysfunction that occurs along with aging. Many studies have focused on the changes of different lymphocyte subsets in diseases and immune aging. However, the fluctuation in the number and phenotype of lymphocyte subset caused by aging have not been comprehensively analyzed, especially the effects of new indicators such as PD-1 and Ki67 in peripheral blood have been rarely reported. We further investigated the humoral and cellular immune parameters of 150 healthy donors over 18 years old. Age was associated with decreased CD4+CD45RA+CD62L+ T cells, decreased CD4+CD45RA+CD31+ T cells, and increased memory CD4+ or CD8+ T cells, dominated by male CD8+ T cells. The loss of CD28 expression on T cells and the transverse trend of activated CD38 and HLA-DR were also related to the increased age. In addition, CD8+ T cells in men were more prominent in activation indicators, and the difference between the old and young groups was obvious. CD4+CD25+CD127- T cells percentage tended to decrease with age and did not differ significantly between gender. Interestingly, we found that age was positively associated with PD-1+ T cells and showed significant age-related variability in men. Similarly, the percentage of CD8+ki-67+ also showed an increasing trend, with significant differences between the young group and other elderly groups in males. Our findings can provide immunological clues for future aging research, offering new insights for clinical monitoring and prevention of certain diseases.
PubMed: 38954761
DOI: 10.18632/aging.205985 -
PloS One 2024Drug shortage is a global problem, and the development of government-enterprise cooperative stockpiles of drugs in shortage, combining physical and production capacity,...
Coping with drug shortages: A study of government-enterprise option cooperation stockpiling strategies for drugs in shortage considering API surrogate stockpiling subsidies.
Drug shortage is a global problem, and the development of government-enterprise cooperative stockpiles of drugs in shortage, combining physical and production capacity, has become one of the most important means of coping with drug shortages. However, existing studies have tended to overlook the fact that shortages of Active Pharmaceutical Ingredients (APIs) have become an important constraint on production capacity stockpiling and that the lack of incentives and provisions for coordination of benefits have led to a double marginal effect of joint stockpiling by government and enterprises of drugs in shortage. Accordingly, this study introduced the option contract to the drug supply system composed of government and pharmaceutical enterprises and used the subsidy of API storage in lieu as an important initiative to incentivize the reserve of APIs, to construct a model of shortage drug reserve under the government's leadership. This study aims to improve the effect of government-enterprise joint stockpiling of drugs in shortage, which is of great theoretical and practical significance. According to the classification of production license types of pharmaceutical enterprises, this study established a three-level supply chain decentralized decision-making model consisting of the government, formulation enterprises, and API enterprises, and a two-level supply chain centralized decision-making model consisting of the government and API Formulation (API-F) integrated enterprises, respectively. By solving the inverse order derivation, the government-enterprise option cooperation conditions and optimal decision-making strategy were derived. The study results showed that: (i) The addition of enterprise API stockpiling mode can help the government conventional reserves, and enterprise production capacity reserves, broaden the way of drug reserves, and improve the effect of government-enterprise option cooperation; (ii) when the probability of drug shortages is high, the government should prefer the cooperation of API-F integrated enterprises, which is conducive to reducing intermediate links and government costs and improving the supply responsiveness to shortages of medicines; (iii) Setting appropriate government subsidies for API storage can incentivize enterprises to stockpile APIs and improve drug production capacity and physical supply response capability. This study took the problem of socialized stockpiling of drugs in shortage as an entry point and explored the problems and solution strategies in the government-enterprise cooperative stockpiling of drugs in shortage, which not only made some theoretical contributions to the application of options contract in the government-enterprise cooperative stockpiling of drugs in shortage but also provided new ideas and theoretical basis for the improvement of the stockpiling work of drugs in shortage.
Topics: Pharmaceutical Preparations; Drug Industry; Humans; Government; Strategic Stockpile
PubMed: 38954737
DOI: 10.1371/journal.pone.0305383 -
PloS One 2024Sleep is critical to a person's physical and mental health and there is a need to create high performing machine learning models and critically understand how models... (Comparative Study)
Comparative Study
IMPORTANCE
Sleep is critical to a person's physical and mental health and there is a need to create high performing machine learning models and critically understand how models rank covariates.
OBJECTIVE
The study aimed to compare how different model metrics rank the importance of various covariates.
DESIGN, SETTING, AND PARTICIPANTS
A cross-sectional cohort study was conducted retrospectively using the National Health and Nutrition Examination Survey (NHANES), which is publicly available.
METHODS
This study employed univariate logistic models to filter out strong, independent covariates associated with sleep disorder outcome, which were then used in machine-learning models, of which, the most optimal was chosen. The machine-learning model was used to rank model covariates based on gain, cover, and frequency to identify risk factors for sleep disorder and feature importance was evaluated using both univariable and multivariable t-statistics. A correlation matrix was created to determine the similarity of the importance of variables ranked by different model metrics.
RESULTS
The XGBoost model had the highest mean AUROC of 0.865 (SD = 0.010) with Accuracy of 0.762 (SD = 0.019), F1 of 0.875 (SD = 0.766), Sensitivity of 0.768 (SD = 0.023), Specificity of 0.782 (SD = 0.025), Positive Predictive Value of 0.806 (SD = 0.025), and Negative Predictive Value of 0.737 (SD = 0.034). The model metrics from the machine learning of gain and cover were strongly positively correlated with one another (r > 0.70). Model metrics from the multivariable model and univariable model were weakly negatively correlated with machine learning model metrics (R between -0.3 and 0).
CONCLUSION
The ranking of important variables associated with sleep disorder in this cohort from the machine learning models were not related to those from regression models.
Topics: Humans; Sleep Initiation and Maintenance Disorders; Male; Female; Machine Learning; Middle Aged; Cross-Sectional Studies; Adult; Retrospective Studies; Risk Factors; Nutrition Surveys; Logistic Models; Aged; Models, Statistical
PubMed: 38954735
DOI: 10.1371/journal.pone.0306359 -
PLoS Neglected Tropical Diseases Jul 2024Musca sorbens (Diptera: Muscidae) flies are thought to be vectors of the blinding eye disease trachoma, carrying the bacterium Chlamydia trachomatis (Ct) between the...
Field- and laboratory-based studies on correlates of Chlamydia trachomatis transmission by Musca sorbens: Determinants of fly-eye contact and investigations into fly carriage of elementary bodies.
Musca sorbens (Diptera: Muscidae) flies are thought to be vectors of the blinding eye disease trachoma, carrying the bacterium Chlamydia trachomatis (Ct) between the eyes of individuals. While their role as vectors has been convincingly demonstrated via randomised controlled trials in The Gambia, studies of fly-borne trachoma transmission remain scant and as such our understanding of their ability to transmit Ct remains poor. We examined fly-eye contact and caught eye-seeking flies from 494 individuals (79% aged ≤9 years) in Oromia, Ethiopia. Ct-carrying flies (harbouring Ct DNA) were found to cluster spatially in and nearby to households in which at least one resident had Ct infection. Fly-eye contact was positively associated with the presence of trachoma (disease), lower human body weight and increased human body temperature. Studies of laboratory-reared M. sorbens indicated that Ct is found both externally and internally following feeds to Ct culture, with scanning electron microscopy revealing how Ct bodies can cling to fly hairs (setae). Testing for Ct on field-caught M. sorbens found fly 'bodies' (thorax, wings and abdomen) to consistently test positive for Ct while legs and heads were infrequently Ct-positive. These studies strongly support the role of M. sorbens as vectors of trachoma and highlight the need for improved understanding of fly-borne trachoma transmission dynamics and vector competence.
PubMed: 38954734
DOI: 10.1371/journal.pntd.0012280 -
PLoS Computational Biology Jul 2024The classification of B cell lymphomas-mainly based on light microscopy evaluation by a pathologist-requires many years of training. Since the B cell receptor (BCR) of...
The classification of B cell lymphomas-mainly based on light microscopy evaluation by a pathologist-requires many years of training. Since the B cell receptor (BCR) of the lymphoma clonotype and the microenvironmental immune architecture are important features discriminating different lymphoma subsets, we asked whether BCR repertoire next-generation sequencing (NGS) of lymphoma-infiltrated tissues in conjunction with machine learning algorithms could have diagnostic utility in the subclassification of these cancers. We trained a random forest and a linear classifier via logistic regression based on patterns of clonal distribution, VDJ gene usage and physico-chemical properties of the top-n most frequently represented clonotypes in the BCR repertoires of 620 paradigmatic lymphoma samples-nodular lymphocyte predominant B cell lymphoma (NLPBL), diffuse large B cell lymphoma (DLBCL) and chronic lymphocytic leukemia (CLL)-alongside with 291 control samples. With regard to DLBCL and CLL, the models demonstrated optimal performance when utilizing only the most prevalent clonotype for classification, while in NLPBL-that has a dominant background of non-malignant bystander cells-a broader array of clonotypes enhanced model accuracy. Surprisingly, the straightforward logistic regression model performed best in this seemingly complex classification problem, suggesting linear separability in our chosen dimensions. It achieved a weighted F1-score of 0.84 on a test cohort including 125 samples from all three lymphoma entities and 58 samples from healthy individuals. Together, we provide proof-of-concept that at least the 3 studied lymphoma entities can be differentiated from each other using BCR repertoire NGS on lymphoma-infiltrated tissues by a trained machine learning model.
PubMed: 38954728
DOI: 10.1371/journal.pcbi.1011570 -
PloS One 2024A number of seroprevalence studies in Zambia document the extent of spread of acute SARS-CoV-2 infection, yet knowledge gaps still exist on symptoms and conditions that...
Clinical characteristics and factors associated with long COVID among post-acute COVID-19 clinic patients in Zambia, August 2020 to January 2023: A cross-sectional and longitudinal study design.
INTRODUCTION
A number of seroprevalence studies in Zambia document the extent of spread of acute SARS-CoV-2 infection, yet knowledge gaps still exist on symptoms and conditions that continue or develop after acute COVID-19 (long COVID). This is an important gap given the estimated prevalence of long COVID in other African countries. We assessed factors associated with long COVID at the initial visit to a post-acute COVID-19 (PAC-19) clinic and longitudinally among a cohort of patients with ≥2 review visits.
METHODS
We implemented a cross-sectional and longitudinal analysis of PAC-19 clinic patients from Aug-2020 to Jan-2023. The study outcome was long COVID; defined as the presence of new, relapsing, or persistent COVID-19 symptoms that interfere with the ability to function at home or work. Explanatory variables were demographic and clinical characteristics of patients which included sex, age group, presence of new onset medical conditions, presence of pre-existing comorbidities, vaccination status and acute COVID-19 episode details. We fitted logistic and mixed effects regression models to assess for associated factors and considered statistical significance at p<0.05.
RESULTS
Out of a total 1,359 PAC-19 clinic patients in the cross-sectional analysis, 548 (40.3%) patients with ≥2 PAC-19 clinic visits were in the longitudinal analysis. Patients' median age was 53 (interquartile range [IQR]: 41-63) years, 919 (67.6%) were hospitalized for acute COVID-19, and of whom 686 (74.6%) had severe acute COVID-19. Overall, 377 (27.7%) PAC-19 clinic patients had long COVID. Patients with hospital length of stay ≥15 days (adjusted odds ratio [aOR]: 5.37; 95% confidence interval [95% CI]: 2.99-10.0), severe acute COVID-19 (aOR: 3.22; 95% CI: 1.68-6.73), and comorbidities (aOR:1.50; 95% CI: 1.02-2.21) had significantly higher chance of long COVID. Longitudinally, long COVID prevalence significantly (p<0.001) declined from 75.4% at the initial PAC-19 visit to 26.0% by the final visit. The median follow-up time was 7 (IQR: 4-12) weeks.
CONCLUSION
Factors associated with long COVID in Zambia were consistent both cross-sectionally at the initial visit to PAC-19 clinics and longitudinally across subsequent review visits. This highlights the importance of ongoing monitoring and tailored interventions for patients with comorbidities and severe COVID-19 to mitigate the long-term impacts of COVID-19.
Topics: Humans; Zambia; COVID-19; Male; Female; Cross-Sectional Studies; Longitudinal Studies; Adult; Middle Aged; SARS-CoV-2; Post-Acute COVID-19 Syndrome; Aged; Young Adult; Adolescent; Comorbidity; Risk Factors; Prevalence
PubMed: 38954717
DOI: 10.1371/journal.pone.0306131 -
PloS One 2024Previous evidence suggests an individual variation in the preferred oral processing behavior. Individuals can be classified as firm processing(FPL) or soft processing...
INTRODUCTION
Previous evidence suggests an individual variation in the preferred oral processing behavior. Individuals can be classified as firm processing(FPL) or soft processing likers(SPL). FPL(crunchers and chewers) prefer using their teeth while SPL(smooshers and suckers) prefer using the tongue and the palate when processing different food items. Variation in the preferred oral processing behavior has been associated with differences in food texture preference and eating time. Time is one of the factors directly related to the development of dental caries(tooth decay). Oral retention and eating times are associated with greater caries experience. This study aims to explore if a relationship exists between the preferred oral processing behavior and the individual's caries experience.
MATERIALS AND METHODS
This was a cross-sectional, dental center-based study conducted at Jordan University of Science and Technology. Five hundred participants consented to fill out the preferred oral processing behavior(POPB) questionnaire. Anthropometric measurements (including weight, height, and waist circumference) were recorded. A single trained and calibrated dentist registered each participant's caries experience and plaque levels using the DMFS index and plaque index of Silness and Loe.
RESULTS
A total of 351(70.2%) and 149(29.8%) participants were typed as FPL and SPL, respectively. SPL demonstrated higher levels of dental caries experience compared to FPL. The mean DMFS score for SPL was 28.8(±25.43) while for FPL was 18.71(± 18.34). This difference remained significant after adjustment for confounders(P<0.001). SPL exhibited a significantly higher mean score for the "M" component(P <0.001) while no significant difference in the mean score of the "D"(P = 0.076) and "F"(P = 0.272) components was observed when compared to FPL.
CONCLUSION
The current findings provide new insight into a possible relationship between the preferred oral processing behavior and an individual's caries experience. A relationship in which the preferred oral processing behavior can potentially affect and/or be affected by the dental caries experience.
Topics: Humans; Dental Caries; Male; Female; Adult; Cross-Sectional Studies; Surveys and Questionnaires; Young Adult; Middle Aged; Feeding Behavior; Food Preferences; Jordan
PubMed: 38954716
DOI: 10.1371/journal.pone.0306143 -
PloS One 2024Childhood leukemia (CL) is a major global concern, accounting for 33% of all new cancer cases and 31% of all cancer deaths in children aged 0-14 years. Our study aimed...
BACKGROUND
Childhood leukemia (CL) is a major global concern, accounting for 33% of all new cancer cases and 31% of all cancer deaths in children aged 0-14 years. Our study aimed to analyze the global incidence and mortality rates of CL in 2020 and its relationship with the Human Development Index (HDI).
MATERIAL AND METHODS
In this ecologic study, we analyzed the 2020 cancer incidence and mortality data for children aged 0-14 years from the GLOBOCAN Project. We calculated the Age-Standardized Incidence Rate (ASIR) and Age-Standardized Mortality Rate (ASMR) of CL per 100,000 individuals. Pearson's correlation coefficient was used to examine the association between childhood leukemia ASIR, ASMR, and the HDI, with a statistical significance threshold of P<0.05.
RESULTS
In 2020, there were a total of 67,008 new cases of CL worldwide, with males accounting for 57.85%. The global ASIR for CL was 3.4 per 100,000 (3.9 in males, 3 in females). Additionally, there were 25,080 CL-related deaths, with males comprising 58.86%. The overall ASMR for CL was 1.3 (1.4 in males, 1.1 in females). We found a significant positive correlation (r = 0.405, P≤0.001) between the global ASIR and ASMR for CL. There was a strong positive correlation (r = 0.770, P = 0.001) between the HDI and childhood leukemia ASIR, but no significant association (r = 0.077, P = 0.337) was observed with ASMR.
CONCLUSION
Our study reveals that CL remains a significant health burden worldwide. We identified a positive correlation between the ASIR of CL and the HDI, indicating a potential role of socioeconomic factors in CL incidence.
Topics: Humans; Child; Infant; Male; Child, Preschool; Female; Incidence; Adolescent; Leukemia; Infant, Newborn; Global Health
PubMed: 38954710
DOI: 10.1371/journal.pone.0304354