Effect of weaning age on growth performance, feed efficiency, nutrient digestibility and blood-biochemical parameters in Droughtmaster crossbred beef calves.

OBJECTIVE: The objective of this study was to determine the effect of weaning age on intake, performance, nutrition metabolism and serum parameters of beef calves. METHODS: Sixty Droughtmaster crossbred calves were assigned to 5 groups with 12 calves in each group. The calves in control group remained with the dams till the 22-week age, while the calves weaned at 28 d (4 wk), 42 d (6 wk), 56 d (8 wk), and 70 d (10 wk) of age were sent to group 4 wk, group 6 wk, group 8 wk, and group 10 wk, respectively, and then were fed on milk replacer till the 22-week age. Feed intake and body weight and size were record and blood metabolites were measured. And 24 calves of them (6 in each group) were picked randomly for digestion and metabolism trail. Feed, feces and urine sample were taken and measured. RESULTS: Dry matter intake of calves in group 4 wk was significantly lower than those in the remaining groups from wk 17 to 22 (p<0.05). Feed efficiency of the calves was higher in groups 4 wk and 6 wk than those in groups 8 wk and 10 wk from 11 to 13 wk (p<0.05), and calves had higher feed efficiency in group 4 wk, group 6 wk, and group 8 wk than those in group 10 wk from wk 14 to wk 22. Calves in group 4 wk and 6 wk had lower body weight than group 8 wk and group 10 wk and control group at 10-week age (p<0.05) and 13-week age (p<0.05), and calves in group 6 wk had no significant difference in body weight with control group, group 8 wk and 10 wk (p>0.05) but was higher than that of group 4 wk (p<0.05). Calves in group 6 wk had higher final body weight and total gain than group 4 wk, but no difference of total gain with that of groups 8 wk, 10 wk, and control group. And weaning calves at 6-week age brought higher feed efficiency and average daily gain from wk 14 to wk 22, and higher dry matter and organic matter digestibility at 21 wk. CONCLUSION: It is concluded that the weaning of calves at 6 weeks of age gave positive results.

Migraine Subclassification via a Data-Driven Automated Approach Using Multimodality Factor Mixture Modeling of Brain Structure Measurements.

BACKGROUND: The current subclassification of migraine is according to headache frequency and aura status. The variability in migraine symptoms, disease course, and response to treatment suggest the presence of additional heterogeneity or subclasses within migraine. OBJECTIVE: The study objective was to subclassify migraine via a data-driven approach, identifying latent factors by jointly exploiting multiple sets of brain structural features obtained via magnetic resonance imaging (MRI). METHODS: Migraineurs (n = 66) and healthy controls (n = 54) had brain MRI measurements of cortical thickness, cortical surface area, and volumes for 68 regions. A multimodality factor mixture model was used to subclassify MRIs and to determine the brain structural factors that most contributed to the subclassification. Clinical characteristics of subjects in each subgroup were compared. RESULTS: Automated MRI classification divided the subjects into two subgroups. Migraineurs in subgroup #1 had more severe allodynia symptoms during migraines (6.1 ± 5.3 vs. 3.6 ± 3.2, P = .03), more years with migraine (19.2 ± 11.3 years vs 13 ± 8.3 years, P = .01), and higher Migraine Disability Assessment (MIDAS) scores (25 ± 22.9 vs 15.7 ± 12.2, P = .04). There were not differences in headache frequency or migraine aura status between the two subgroups. CONCLUSIONS: Data-driven subclassification of brain MRIs based upon structural measurements identified two subgroups. Amongst migraineurs, the subgroups differed in allodynia symptom severity, years with migraine, and migraine-related disability. Since allodynia is associated with this imaging-based subclassification of migraine and prior publications suggest that allodynia impacts migraine treatment response and disease prognosis, future migraine diagnostic criteria could consider allodynia when defining migraine subgroups.

Measuring solid percentage of oil sands mature fine tailings using the dual probe heat pulse method.

The reclamation of mature fine tailings (MFT) is a critical challenge for the oil sands industry in western Canada, and a nonradioactive, automated, and inexpensive method to monitor the MFT solidification is needed. The objective of this paper is to evaluate the feasibility of a dual-probe heat pulse (DPHP) method to measure MFT solid percentage. Dual-probe heat pulse measurements were performed on three MFT samples, each at various solid percentages. A linear relationship ( = 0.9495 + 0.0558) was established between the DPHP-measured solid percentage () and that of oven-dry method (). Six additional MFT samples were collected and measured to validate the DPHP method. The specific heats of the six MFT solids were measured independently using a modulated differential scanning calorimetry method, and the sensitivity of DPHP-measured MFT solid percentage to the specific heat of MFT solids was evaluated. The result shows that the DPHP method can be used to accurately measure MFT solid percentages, and the accuracy can be further improved if the specific heat of the MFT solids is measured independently.

Catalytic asymmetric inverse-electron-demand oxa-Diels-Alder reaction of in†situ generated ortho-quinone methides with 3-methyl-2-vinylindoles.

The first catalytic asymmetric inverse-electron-demand (IED) oxa-Diels-Alder reaction of ortho-quinone methides, generated in situ from ortho-hydroxybenzyl alcohols, has been established. By selecting 3-methyl-2-vinylindoles as a class of competent dienophiles, this approach provides an efficient strategy to construct an enantioenriched chroman framework with three adjacent stereogenic centers in high yields and excellent stereoselectivities (up to 99 % yield, >95:5 d.r., 99.5:0.5 e.r.). The utilization of ortho-hydroxybenzyl alcohols as precursors of dienes and 3-methyl-2-vinylindoles as dienophiles, as well as the hydrogen-bonding activation mode of the substrates met the challenges of a catalytic asymmetric IED oxa-Diels-Alder reaction.

Effect of Dietary Concentrate:forage Ratios and Undegraded Dietary Protein on Nitrogen Balance and Urinary Excretion of Purine Derivatives in Dorper×thin-tailed Han Crossbred Lambs.

THIS STUDY AIMED TO INVESTIGATE DIETARY CONCENTRATE: forage ratios (C:F) and undegraded dietary protein (UDP) on nitrogen balance and urinary excretion of purine derivatives (PD) in lambs. Four Dorper×thin-tailed Han crossbred castrated lambs with 62.3±1.9 kg body weight at 10 months of age were randomly assigned to four dietary treatments in a 2×2 factorial arrangement of two levels of C:F (40:60 and 60:40) and two levels of UDP (35% and 50% of CP), according to a complete 4×4 Latin-square design. Each experimental period lasted for 19 d. After a 7-d adaptation period, lambs were moved into individual metabolism crates for 12 d including 7 d of adaption and 5 d of metabolism trial. During the metabolism trial, total urine was collected for 24 h and spot urine samples were also collected at different times. Urinary PD was measured using a colorimetric method and creatinine was measured using an automated analyzer. Intake of dry matter (DM) (p<0.01) and organic matter (OM) (p<0.01) increased as the level of UDP decreased. Fecal N was not affected by dietary treatment (p>0.05) while urinary N increased as the level of UDP decreased (p<0.05), but decreased as dietary C:F increased (p<0.05). Nitrogen retention increased as dietary C:F increased (p<0.05). As dietary C:F increased, urinary excretion of PD increased (p<0.05), but was not affected by dietary UDP (p>0.05) or interaction between dietary treatments (p>0.05). Daily excretion of creatinine was not affected by dietary treatments (p<0.05), with an average value of 0.334±0.005 mmol/kg BW(0.75). A linear correlation was found between total PD excretion and PDC index (R(2) = 0.93). Concentrations of creatinine and PDC index in spot urine were unaffected by sampling time (p>0.05) and a good correlation was found between the PDC index (average value of three times) of spot urine and daily excretion of PD (R(2) = 0.88). These results suggest that for animals fed ad libitum, the PDC index in spot urine is effective to predict daily excretion of PD. In order to improve the accuracy of the spot sampling technique, an appropriate lag phase between the time of feeding and sampling should be determined so that the sampling time can coincide with the peak concentration of PD in the urine.

Organocatalytic asymmetric arylative dearomatization of 2,3-disubstituted indoles enabled by tandem reactions.

The organocatalytic asymmetric arylative dearomatization of indoles was achieved through two tandem approaches involving 2,3-disubstituted indoles and quinone imine ketals. One approach utilized the enantioselective cascade 1,4 addition/alcohol elimination reaction, the other employed the one-pot tandem arylative dearomatization/transfer hydrogenation sequence. In both cases, enantiomerically pure indole derivatives that bear an all-carbon quaternary stereogenic center were generated in high yields and excellent stereoselectivities (all d.r.>95:5, up to 99% ee).

Pilot Study to Determine the Effectiveness of a Home Health Nursing Simulation.

Demand for home care has increased due to the expansion of preventive care, people living longer with chronic conditions, and the need for healthcare services as the baby boom population ages. Nurses must be prepared to meet the needs of patients and families in the home setting. Home care nursing simulations have been utilized as a teaching-learning strategy in baccalaureate nursing education, yet less is known about their use with practicing home care nurses and associate degree nursing students. The purpose of this pilot study using simulation was to prepare practicing nurses and student nurses to respond using nursing skills and clinical judgment. The convenience sample consisted of associate degree nursing students (n = 9), practicing home healthcare nurses (n = 8), and nursing faculty (n = 2). The Simulation Effectiveness Tool - Modified (SET-M) Survey (Leighton et al., 2015) was utilized for data collection. Participants perceived the home healthcare simulation to be an effective practice experience with high overall agreement for Pre-briefing, Scenario-Confidence, Scenario-Learning, and Debriefing. The findings of this study provide data to support partnerships to provide home care simulation experiences for associate degree nursing students and practicing home care nurses.

Original Research: Exploring U.S. Nurses' Perceived Duty to Care During the COVID-19 Pandemic.

BACKGROUND: Duty to care is both an integral concept in health care and a fundamental nursing obligation. But nurses' perceptions of duty to care can be moderated by their experiences in the practice setting. Research examining nurses' perceptions of their duty to care during the COVID-19 pandemic could shed light on how the pandemic is affecting the nursing workforce. PURPOSE: This study aimed to examine nurses' sense of duty to care during the early months of the pandemic, using the Nash Duty to Care Scale (NDCS), and to compare the high-scoring nurses with the low-scoring nurses. METHODS: This quantitative study used a descriptive, cross-sectional design. It was conducted among licensed RNs enrolled at two accredited nursing programs in the Northeast region of the United States. Data were collected via a demographics questionnaire and the NDCS. A two-step cluster procedure was used to categorize participants into two groups: those with high perceived duty to care (HPDC) and those with low perceived duty to care (LPDC). Independent t tests were performed to compare NDCS results between the two groups. RESULTS: Nearly two-thirds (61%) of the participants had total NDCS scores indicating an HPDC, while 39% had scores indicating an LPDC. Of the NDCS's four subscales, perceived obligation and perceived risk were the most important in separating participants into the low- and high-scoring groups. CONCLUSIONS: This study adds to the literature about the components that affected nurses' perceived duty to care and willingness to report to work during the early months of the pandemic. Just as nurses have a duty to care, health care organizations have an obligation to provide a safe working environment so that nurses can fulfill that duty without sacrificing personal safety. The study findings may guide health care leaders, systems, and organizations regarding how to create safer work environments that support the nurse's duty to care during disasters.

Student Health Services at Historically Black Colleges and Universities and Predominantly Black Institutions in the United States.

Introduction: Student health services are associated with improved health outcomes and academic success, particularly among under-resourced college populations. This study compared student health services at Historically Black Colleges and Universities (HBCUs) and Predominantly Black Institutions (PBIs) and identified factors associated with the availability of comprehensive health services (CHS). Methods: We conducted a secondary analysis of 2022 data from the Integrated Postsecondary Education Data System (IPEDS), the Minority Serving Institutions (MSIs) Directory, and the websites of HBCUs and PBIs (n=167). Bivariate and multivariate logistic regression analyses were undertaken to identify institutional variables associated with providing CHS. Institutional variables included college type (public vs. private), MSI category (HBCU vs. PBI), undergraduate enrollment, location, and proportion of Pell grant recipients. Results: Approximately 13% of HBCUs and 26% of PBIs offered no student health services; 65% of HBCUs and 39% of PBIs offered on-campus CHS with prescribing providers. Four-year HBCUs were five times more likely than 4-year PBIs to have CHS (p=0.014). Institutions with more Pell Grant recipients were less likely to offer CHS. Conclusions: Access to health care is an important social determinant of health, academic persistence, and achievement for college students. HBCUs were significantly more likely than PBIs to offer CHS. HBCUs are more likely than PBIs to have resources from federal funding, donors, and endowments that may support the development of student health centers and services. Increased funding for PBI health centers could improve access and promote health equity among the most vulnerable student populations.

The effectiveness of digital twins in promoting precision health across the entire population: a systematic review.

Digital twins represent a promising technology within the domain of precision healthcare, offering significant prospects for individualized medical interventions. Existing systematic reviews, however, mainly focus on the technological dimensions of digital twins, with a limited exploration of their impact on health-related outcomes. Therefore, this systematic review aims to explore the efficacy of digital twins in improving precision healthcare at the population level. The literature search for this study encompassed PubMed, Embase, Web of Science, Cochrane Library, CINAHL, SinoMed, CNKI, and Wanfang Database to retrieve potentially relevant records. Patient health-related outcomes were synthesized employing quantitative content analysis, whereas the Joanna Briggs Institute (JBI) scales were used to evaluate the quality and potential bias inherent in each selected study. Following established inclusion and exclusion criteria, 12 studies were screened from an initial 1321 records for further analysis. These studies included patients with various conditions, including cancers, type 2 diabetes, multiple sclerosis, heart failure, qi deficiency, post-hepatectomy liver failure, and dental issues. The review coded three types of interventions: personalized health management, precision individual therapy effects, and predicting individual risk, leading to a total of 45 outcomes being measured. The collective effectiveness of these outcomes at the population level was calculated at 80% (36 out of 45). No studies exhibited unacceptable differences in quality. Overall, employing digital twins in precision health demonstrates practical advantages, warranting its expanded use to facilitate the transition from the development phase to broad application.PROSPERO registry: CRD42024507256.

Health screenings in college health centers: Variations in practice.

Objective: The purpose of this study was to examine the routine screening of female students in college health centers for six priority health-related behaviors and experiences (tobacco use, alcohol use, eating disorders [EDs], obesity, anxiety and depression, intimate partner violence/sexual violence [IPV/SV]), and to identify variations in practice. Participants: A nationally representative sample of 1,221 healthcare providers (HCPs), including nurse practitioners, physicians, and physician assistants, from 471 U.S. college health centers. Methods: HCPs completed surveys (on-line or paper) and reported on routine screening of female college students. Results: HCPs reported consistently high rates (75-85%) of screening for tobacco use, alcohol use, and anxiety/depression. Rates of screening for IPV/SV, obesity and EDs were much lower. Nurse practitioners reported the highest IPV/SV screening rates. Conclusions: College health centers present unique opportunities for screening, case-finding and intervening to reduce long-term sequelae. Providers are well-positioned to lead initiatives to improve screening practices.

The first complete genomic characterization of an Amur virus isolate from China.

Amur virus (AMRV) is a member of the genus Hantavirus in the family Bunyaviridae. In this study, we determined for the first time the complete genome sequence of the AMRV H8205 strain, which was isolated from a patient with hemorrhagic fever with renal syndrome (HFRS) in China. The complete nucleotide sequence of the S segment of AMRV H8205 is 1699 nt long, with a 5' noncoding region (5'NC) of 36 nt, followed by a coding sequence of 1290 nt and a 3'NC of 373 nt. The complete sequence of the M segment is 3615 nt long, with a 5'NC of 40 nt, followed by a coding sequence of 3408 nt and a 3'NC of 167 nt. The complete sequence of the L segment is 6536 nt long, with a 5'NC of 37 nt, followed by a coding sequence of 6453 nt and a 3'NC of 40 nt. The major open reading frame (ORF) of each of the three segments (S, nt 37-1326; M, nt 41-3445; L, nt 38-6490) has a coding capacity of 430 aa, 1135 aa, 2151 aa, respectively. Phylogenetic analysis of the nucleotide sequences using the NJ method indicated that H8205 virus, together with the Amur strains isolated from Far-Eastern Russia and Korea, forms a well-supported lineage. Our results will provide insights into the genetic diversity of hantaviruses (HNTV).

The confirmation of three repeated sequence elements in the 3' untranslated region of Chikungunya virus.

In this study, the complete genomic nucleotide sequence of Chikungunya virus (CHIKV) strain S27 African prototype was determined and three 21 nucleotides repeated sequence elements (RSEs) at positions 11398-11418, 11533-11553, and 11620-11640 in the 3' untranslated region (3'UTR) were confirmed. In addition, the 3'UTRs of all CHIKV strains deposited in GenBank were analyzed. The results displayed that the majority of the CHIKV strains consisted of the three 21 nucleotides RSEs in the 3'UTRs, and the third RSE was the most conservative. The conservation of the three RSEs of 21 nucleotides within the 3'UTR of CHIKV genome may play an important role on the virus replication cycle.

A Novel Sparse Linear Mixed Model for Multi-Source Mixed-Frequency Data Fusion in Telemedicine.

Digital health and telemonitoring have resulted in a wealth of information to be collected to monitor, manage, and improve human health. The multi-source mixed-frequency health data overwhelm the modeling capacity of existing statistical and machine learning models, due to many challenging properties. Although predictive analytics for big health data plays an important role in telemonitoring, there is a lack of rigorous prediction model that can automatically predicts patients' health conditions, e.g., Disease Severity Indicators (DSIs), from multi-source mixed-frequency data. Sleep disorder is a prevalent cardiac syndrome that is characterized by abnormal respiratory patterns during sleep. Although wearable devices are available to administrate sleep studies at home, the manual scoring process to generate the DSI remains a bottleneck in automated monitoring and diagnosis of sleep disorder. To address the multi-fold challenges for precise prediction of the DSI from high-dimensional multi-source mixed-frequency data in sleep disorder, we propose a sparse linear mixed model that combines the modified Cholesky decomposition with group lasso penalties to enable joint group selection of fixed effects and random effects. A novel Expectation Maximization (EM) algorithm integrated with an efficient Majorization Maximization (MM) algorithm is developed for model estimation of the proposed sparse linear mixed model with group variable selection. The proposed method was applied to the SHHS data for telemonitoring and diagnosis of sleep disorder and found that a few significant feature groups that are consistent with prior medical studies on sleep disorder. The proposed method also outperformed a few benchmark methods with the highest prediction accuracy.

Anomalous stable hydrogen-oxygen isotope characteristics and water vapor sources of autumn precipitation in the Weihe River basin, Northwest China.

The extreme changes in autumn rain have significant impacts on the ecological environment of Weihe River basin. Based on 117 autumn rain samples and corresponding meteorological data from 2015 to 2021 at Yangling located in the middle of Weihe River basin, we investigated the stable hydrogen and oxygen isotope composition and water vapor sources of precipitation. The results showed that, (1) extreme changes in autumn rainfall in the study area occurred frequently in recent years, which could be divided into extreme-high autumn precipitation year (HAP, 2021), general autumn precipitation year (GAP, 2015-2017, 2019-2020) and extreme-low autumn precipitation year (LAP, 2018) based on the autumn rain index (ARI); (2) the stable isotopes of different types of precipitation differed significantly, with a pattern of LAP>GAP>HAP for both δ2H and δ18O values. the variations of d-excess values and the slopes and intercepts of the meteoric water lines of autumn rain showed opposite trends. The main factor controlling autumn rain anomaly was not the local meteorological parameters, but the El Nino-Southern Oscillation and the Indian Ocean dipole events, which could explain 99% and 93% of the autumn rain isotopic variations, respectively. These coupling phenomena affected water vapor transport intensity of the marine air mass to the northwest inland, which determined autumn rainfall amount and the stable hydrogen-oxygen isotope composition. Our results would be helpful for improving the understanding of autumn rain anomalies in West China, and provide basic data and theoretical support for regional hydrological model building, would thereby better serve water resources management and disaster prevention and reduction.

Complete genome sequence analysis of tick-borne encephalitis viruses isolated in northeastern China.

Tick-borne encephalitis virus (TBEV) causes lethal encephalitis in humans, posing a growing public-health problem in many European and Asian countries. TBEV is currently endemic in northeastern China, but the complete genome sequences of Chinese TBEV strains have not been reported. During a TBE outbreak in 2010 in Mudanjiang City, Heilongjiang Province, China, two TBEV strains were isolated from serum samples of two patients, and the complete sequences were determined and compared with other known TBEV strains. Both Mudanjiang isolates consisted of 10,774 nucleotides and encoded a single open reading frame coding for a polyprotein of 3414 amino acids, and a unique deletion of 364 nucleotides in the 3' untranslated region (UTR) was recorded. Phylogenetic analysis based on the amino acid sequence of the E protein and the nucleotide sequence of the 3'UTR revealed that the Mudanjiang isolates are closely related to the Senzhang and Sofjin-HO strains and belong to the Far Eastern subtype of TBEV. These findings provide insight into the evolutionary relationships among Chinese TBEV isolates and are useful for laboratory diagnosis and vaccine development for TBEV.

[Hydrochemistry and Its Controlling Factors and Water Quality Assessment of Shallow Groundwater in the Weihe and Jinghe River Catchments].

The Weihe and Jinghe Rivers catchments are important tributaries of the Yellow River, where it is of great significance to evaluate groundwater hydrochemistry and quality for ecological protection and sustainable development. Piper diagrams, Gibbs, Na-normalized molar ratios, and ion correlation methods were used to analyze the chemical composition of groundwater in these two catchments. Furthermore, the WQI method, Wilcox diagrams, USSL diagrams, and Doneen diagrams were used to evaluate the suitability of groundwater quality for drinking and irrigation. The results showed that the Weihe and Jinghe River catchments are dominated by fresh and weakly alkaline water. Groundwater ion concentration in the Weihe River are higher than in Jinghe River except for Na+, and the major groundwater types are HCO3-Ca-Mg(accounted for 50%), and HCO3-Ca-Mg and HCO3-Na-K (accounted for 32.5%), respectively. The hydrochemistry of the Weihe and Jinghe River catchments is mainly controlled by rock weathering, primarily silicate weathering. Moreover, the groundwater chemistry in the research area is affected by mining and chemical fertilizer application for agriculture. Furthermore, the hydrochemistry of the Weihe River catchment is affected by cation exchange, although this was not obvious in some regions of the Jinghe River catchment. The overall groundwater quality of the two catchments was good, with the Jinghe River water quality being better than in the Weihe River catchment. Based on SSP, SAR, and PI, the groundwater in some parts of the study area cannot be directly used for irrigation as this would result in salinization and, thus, inhibit plant growth. Overall, the groundwater quality in the south of the study area is better than in the north, and is better in the Jinghe River catchment than in the Weihe River catchment according to these three indicators. This study provides a basis for the sustainable development of two catchments, providing baseline data for groundwater quality management.

[Hydrochemical and Isotopic Characteristics in the Shallow Groundwater of the Fenhe River Basin and Indicative Significance].

The Fenhe River basin is the second largest tributary of the Yellow River. Piper diagrams, Gibbs, PCA, correlation analysis and forward derivation modeling were used to analyze the distribution characteristics and the controlling factors of the groundwater chemistry and stable isotopes in the Fenhe River basin, which revealed the water cycle and water quality evolution process. The results indicated that the groundwater is a weakly alkaline, micro-hard water, the dominant anions and cations are HCO3- and Ca2+, the major groundwater types are Mg-Ca-HCO3 and Mg-Ca-Cl-SO4, the groundwater quality is good, and more than 94% of the samples belong to classes Ⅰ-Ⅲ. The average values of δD and δ18O of the Fenhe River groundwater are -70.2‰ and -9.6‰, which are similar to the isotope values of the precipitation from July to September, indicating that the groundwater may have originated from this period and that the groundwater recharge mode (dominant flow and piston flow) has a spatial variation. Rock weathering is the dominant source of ions in the groundwater, with an average contribution of 87%, while the contributions of atmospheric input and human activity are 8% and 5%, respectively. For rock weathering, silicate, evaporate, and carbonate rock contribute equally to the groundwater solutes, accounting for 32%, 28%, and 26%, respectively. The results of this study provide the basis for promoting the sustainable development and utilization of groundwater resources in the Fenhe River basin.

A Multi-Center Structural Equation Modeling Approach to Investigate Interpersonal Violence Screening for Public Health Promotion.

Background: Interpersonal violence is a significant public health issue. Routine health screening is a cost-effective strategy that may reduce harmful physical and mental consequences. However, existing research finds consistently low rates of violence screening offered by healthcare providers, e.g., nurses, nurse practitioners, physicians. There is a critical need for research that helps understand how providers' screening behaviors are impacted by individual-level and organizational-level factors to promote the uptake of routine screening for interpersonal violence. Two recent studies, i.e., The Health Care Providers study and Nurse Practitioners Violence Screening study, involved quantitative data collected to measure providers' screening behavior and multi-level factors impacting violence screening. Methods: The current analysis includes a combination of multi-center data collected from The Health Care Providers and Nurse Practitioners Violence Screening studies, respectively. The total sample is 389 providers across the United States. The proposed research develops a system-level multi-center structural equation model framework to rigorously integrate data from the two studies and examine providers' screening behavior for interpersonal violence based upon Theory of Planned Behavior from a quantitative perspective. Results & Conclusions: We successfully examine the efficacy of the Theory of Planned Behavior proposed by Ajzen to predict healthcare providers' screening behavior for interpersonal violence. Organizational factors, e.g., availability of policy for interpersonal violence screening, organizational priority given to violence screening relative to other priorities, and if providers within the health center are interested in improving care quality, were significantly associated with providers' screening behavior. The knowledge and insights generated from our study may facilitate the design and optimization of health professional training and practice environment, and lead to improved women's health and quality of care.

Undergraduate nursing students' attitudes towards incarcerated persons and their perceptions of clinical experiences.

BACKGROUND: In 2019, an estimated 6.3 million persons were under the supervision of the United States adult correctional systems and one in 40 adult persons were under correctional supervision. At year-end of 2019, nearly seven in ten persons under correctional supervision were supervised in the community. A nurse's attitudes and beliefs about incarcerated persons may influence their behavior. PURPOSE: The purpose of this study was to examine nursing student's attitudes towards incarcerated persons and their perceptions of a clinical experience at a correctional facility. METHODS: Data from 137 nursing students were collected through a cross-sectional, electronic survey. The Attitude Towards Prisoners Scale (Melvin et al., 1985) was used. A post hoc analysis of perceptions of their clinical experience at a correctional facility was explored. RESULTS: The mean scores of 93 and 94 (potential range of scores 0 to 144) suggest positive attitudes towards incarcerated persons exist, yet few nursing students report an interest in correctional nursing as a career. Although few (n = 5) students had a correctional nursing clinical experience, most perceived it as an effective clinical learning setting. CONCLUSION: With high rates of incarceration, the researchers recommend that baccalaureate nursing programs include educational teaching strategies that focus on incarceration, incarceration stigma, and explore clinical learning experiences.