bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characteristics of Knowledge Translation Theories, Models and Frameworks for Health Technology Reassessment: Expert Perspectives Through a Qualitative Exploration
Authors: Esmail Rosmin , Clement Fiona M , Holroyd-Leduc Jayna , Niven Daniel J , Hanson Heather M 
Published: September 2020

Abstract
Background: Health Technology Reassessment (HTR) is a process that systematically assesses technologies that are currently used in the health care system. The process results in four outputs: increase use or decrease use, no change, or de-adoption of a technology. Implementation of these outputs remains a challenge. The Knowledge Translation (KT) field enables knowledge into practice. KT could help with implementation of HTR outputs. This study sought to identify which characteristics of KT theories, models, and frameworks (TMFs) could be useful, specifically for decrease use or de-adoption of a technology.Methods: A qualitative descriptive approach was used to ascertain the perspectives of international KT and HTR experts on the characteristics of KT TMFs for decrease use or de-adoption of a technology. One-to-one semi-structured interviews were conducted from September to December 2019. Interviews were audio recorded and transcribed verbatim. Themes and sub-themes were deduced from the data through framework analysis using five distinctive steps: familiarization, identifying an analytic framework, indexing, charting, mapping and interpretation. Themes and sub-themes were also mapped to existing KT TMFs.Results: Thirteen individuals from Canada, United States, United Kingdom, Australia, Germany, Spain, and Sweden participated in the study. Three themes emerged that illustrated the ideal traits of a KT TMF: principles that were foundational for HTR, levers of change, and steps for knowledge to action. Principles included evidence-based, high usability, patient-centered, and ability to apply to the micro, meso, macro levels. Levers of change were characterized as positive, neutral, or negative influences for changing behaviour for HTR. Steps for knowledge to action included: build the case for HTR, adapt research knowledge, assess context, select, tailor and implement interventions, and assess impact. Of the KT TMFs that were mapped, the Consolidated Framework for Implementation Research had most of the characteristics, except ability to apply to micro, meso, macro levels. Conclusions: Application of KT TMFs to HTR has not been clearly understood. Characteristics that need to be considered within a KT TMF for implementing HTR outputs have been identified. Consideration of these characteristics within KT TMFs may guide users undertaking HTR projects.
Psychometric Properties of the Contextual Body Image Questionnaire for Athletes: A Replication and Extension Study in Female Collegiate Athletes
Authors: Stewart Tiffany , Kilpela Lisa , Wesley Nicole , Baule Kate , Becker Carolyn 
Published: September 2020

Abstract
Background: Although the link between body dissatisfaction and eating disorder (ED) pathology is well-established in general female samples, less is known about correlates of contextual body image (CBI) among female athletes. CBI refers to female athletes experiencing body image concerns in two distinct contexts: sport and daily life (de Bruin et al., 2011). The Contextual Body Image Questionnaire for Athletes (CBIQA) measures four factors of body image (Appearance, Thin-Fat Self-Evaluation, Thin-Fat Others’ Evaluation, and Muscularity) in both contexts. This study sought to A) investigate the psychometric properties of the CBIQA, B) examine the prospective relation of CBI with ED pathology and negative affect among female collegiate athletes, and C) the degree to which CBI prospectively predicts ED pathology and negative affect in female collegiate athletes. Method: Using self-report data collected from a multi-site parent trial, we first examined the psychometric properties of the CBIQA by conducting a confirmatory factor analysis. We assessed construct validity via cross-sectional bivariate correlation analyses with thin-ideal internalization, negative affect, and ED pathology. Lastly, using data collected at Time 1 and 6 months later (Time 2), we investigated the degree to which CBI prospectively predicted ED pathology and negative affect.Results: Results from the CFA largely confirmed de Bruin et al.’s (2011) original factor analysis. Two CBIQA factors (Thin-Fat Self and Appearance) in both contexts correlated with ED pathology and negative affect. Thin-Fat Others also correlated with ED pathology in both domains and negative affect in the sport domain. The Muscularity domain was predominantly orthogonal with other measures. CBIQA factors were uncorrelated with thin-ideal internalization. Finally, when controlling for BMI and Time 1 scores, daily life and sport appearance concerns predicted ED pathology, whereas perceived evaluation of thin-fat by others in the sport context predicted negative affect 6 months later. Conclusions: Results support the psychometric validity of the CBIQA and suggest that this measure appears to capture variance discrete from thin-ideal internalization. The Muscularity factor largely was not related to other outcomes. Further, specific elements of perceived self- and other-evaluation in both contexts is relevant to risk for ED pathology and negative affect. Future research could examine the impact of dual body image between seasons and after transitioning out of sport.Clinical trials registration: NCT01735994
Knowledge Attitudes and Practice of Breast Milk Expression and Storage Among Working Mothers With Infants Under 6 Months of Age in Public Well Baby Clinics
Authors: EDEMBA PRISCILLAH wanini , Irimu Grace , MUSOKE RACHEL 
Published: September 2020

Abstract
Background: Many studies show that working mothers are unable to exclusively breastfeed successfully. Expression and storage of breastmilk is a strategy that ensures continued breastmilk consumption in the event of temporary separation of an infant from the mother. The 2017 Kenyan Health Act mandates employers to provide lactation rooms with guidance for appropriate utilization.Methodology: The study objective was to assess knowledge attitude and practice of breastmilk expression and storage among working women with infants below six months of age in Public Well Baby Clinics. This was a cross sectional study among 395 working women attending two large public hospitals in Nairobi Kenya. A structured questionnaire with open and closed ended questions was used to establish the knowledge and practice while a Likert scale was used to explore attitudes of the mothers towards expression and storage of breast milk. Results: Only 161(41%) were expressing breast milk. Those with tertiary education and those working in the public sector had significantly higher odds of having satisfactory knowledge OR4.47(95%CI 2.01-11.07) and OR2.26(95%CI 1.33-3.85) respectively. Attaining tertiary education was significantly associated with a possibility of expressing and storing breastmilk OR3.6(95% CI 1.81-7.95). The workplace did not provide adequate equipment to facilitate breastmilk expression. Challenges experienced were breast pain and cumbersome nature of expressing milk.Conclusion: The study revealed knowledge gaps in expression and storage of breastmilk that need to be addressed to enable the mothers fully utilize the lactation rooms when they become available at the workplace.
Racial Disparities in Survival Among Advanced Non-Small Cell Lung Cancer Patients First-Treated with The Combination of Paclitaxel and Platinum
Authors: Zhao Chenyang , Wang Fengli , Huang Jihan , Lv Yinghua , Yin Fang , Liu Hongxia , Zheng Qingshan , Li Lujin 
Published: September 2020

Abstract
Background: In clinical practice, different chemotherapy schedules for NSCLC have potential impacts on overall survival, but not specific in NCCN guidelines. Although some meta-analyses have been conducted to identify the influencing factors, the results are limited by method. Our study is helpful to supplement the NCCN Guidelines.Methods: In order to evaluate and quantify the potential relationship between demographic characteristics, disease characteristics, etc. and overall survival as well as their impact on objective response rate and safety, we developed parametric proportional hazard regression models to describe the overall survival of advanced NSCLC patients first-treated with the paclitaxel-platinum regimen. Results: The principal finding of this research was that race significantly affected hazard of dying. Hazard of dying was 1.4 times higher in non-East Asians than in East Asians, and the hazard ratio of the OS curve was 0.71(95%CI: 0.65-0.78). The median survival time in East Asians and non-East Asians were estimated as 12.2 (95%CI: 10.5, 14.4) and 8.4 (95%CI: 6.5. 11.0) months, respectively. The ORR was 37% (95%CI: 32, 41) and 28% (95%CI: 25, 32) in East Asians and non-East Asians, respectively. Conclusions: Paclitaxel-platinum regimen had different efficacy in two racial groups. The developed model suggests that the efficacy and safety of paclitaxel-platinum regimen can vary between different racial populations because of differences in influencing factors (doses, platinum type, cycles, etc.)
Pregnant Women’s Health-related Behavior Changes and Psychological Status After the Peak of COVID-19 Outbreak in China: A Cross-sectional Study
Authors: Tian Ruixue , Zhang Xu , Chen Xiaoli , Deng Che , Zou Zhijie , Liu Yanqun 
Published: September 2020

Abstract
Background: Little is known about the relationship between health-related behavior and psychological status of pregnant women during the COVID-19 outbreak. We aimed to describe the health-related behavior changes and psychological status of Chinese pregnant women, and to explore the relationship between pregnant women’s characteristics, health-related behavior and different psychological status following the peak of COVID-19 outbreak.Methods: We conducted an online survey through social media (WeChat) from March 14 to April 7. A self-designed questionnaire was used to investigate Chinese pregnant women’s health-related behavior changes. Generalized Anxiety Disorder scale, Edinburgh Postnatal Depression Scale and Perceived Stress Scale were used to assess anxiety, depression and stress among pregnant women. Wilcoxon signed-rank test was used to compare health-related behavior changes before and during the COVID-19 outbreak and Spearman’s rank correlation analysis or logistic regression analysis were used to explore the relationships between variables.Results: A total of 113 pregnant women were included in this study. Most pregnant women wore masks (98.2%), changed location or tried to stay away from those who seem to have a cold or fever (99.1%) and washed hands more often than before (96.5%). Pregnant women washed hands with soap or hand sanitizer more often and went out less often than before the outbreak. There were 41.6% pregnant women who didn’t have antenatal visits or weren’t on time for antenatal visits. Majority (77.9%) pregnant women sought help when feeling panic or anxiety, whereas few turned to psychological workers. The rates of pregnant women with anxiety, depression and health risk stress were 64.6%, 58.4% and 54.9%, respectively. Analysis of relationship between variables showed that household income, gestational age, pregnancy complications, knowledge about COVID-19 and maternal and child protection, perception of the likelihood of infection, the frequency of going out, prenatal check-up behavior, help-seeking behavior were significantly associated or correlated with psychological status. Conclusions: Attention should be paid to the mental health of pregnant women with specific health-related behaviors changes. Screening for mental health problems and psychological interventions among pregnant women are needed.
A Novel Method for Mass Measurement by Quantitative Image Deformation
Authors: Zhang Xuejun , Liang Chan , Lao Huan , Liang Binmei , Sun Yinghua 
Published: September 2020

Abstract
Mass of an object is an important characteristic for quality assessment. However, in some cases, it is hard to measure the mass of objects with instruments directly. In this paper, we proposed a novel method based on image processing to measure the mass of an object by analyzing the deformation degree in a grid pattern. In the spatial field, thin plate spline algorithm was adopted to calculate the minimum deformation bending energy in order to give a quantitative analysis of the weight; In frequency domain, the Fast Fourier Transform algorithm was used to calculate the spectrum within a deformation frequency area before and after the change of grids, from which the relationship between weight and spectrum was investigated. Two different equations evaluated by the above two methods were proposed in order to calculate the mass of an object. Both of them showed a high level of explanatory power of R 2 (R 2 =0.9833 and R 2 =0.9698, respectively). The equations were then used to determine the estimated mass. Estimated and measured values were plotted against each other. A high correlation (R 2 =0.9833 and R 2 =0.9698, respectively) was found between actual and calculated mass. Finally, Bland-Altman plot was introduced to access the agreement of the calculated mass and the actual mass. The average bias was -54.408g and -0.007g for spatial domain method and frequency domain method, respectively. Theoretical analysis and experiments were performed to verify the effectiveness of our approaches.
Improvement in Making ACI-rat Model of Hepatocellular Carcinoma in The Experiments of Interventional Therapy and Its Imaging Properties
Authors: Zheng SuSu , Tan ChangJun , Lin JiaJia , Jing ChuYu , Yin Xin , Hu JinWu , Tan Hui , Zhang Boheng 
Published: September 2020

Abstract
PURPOSE

To improve the preparation of August Copenhagen Irish(ACI)-rat model suitable for interventional therapy, and to investigate its 18F-2-fluoro-2-deoxy-D -glucose-Positron emission tomography(FDG-PET) and magnetic resonance imaging(MRI) features.
METHODS

Morris hepatoma 3924A tumors were implanted in the left lobe of the liver in 20 male ACI rats. FDG-PET and MRI scans were performed on day 14 after implantation. After that, all the rats were sacrificed and samples of tissues were fixed and used for various analyses.
RESULTS

FDG-PET scans showed increased uptake of 18F-FDG of tumor nodules, and no signs of wound and peritoneal cavity metastases. The average maximum standardized uptake value(SUVmax) in tumors was 4.85 ± 0.86(range, 3.58–6.6) and 0.79 ± 0.42(range, 0.27–1.63) in the surrounding normal liver tissues. Tumor nodules on MRI were shown to be hypointensity on T1-weighted images and hyperintensity on T2-weighted images. The average tumor volume was 106 ± 15 mm3. No intrahepatic metastasis or lung metastasis were found on day 14.
CONCLUSION

FDG-PET is useful in screening the earlier cases with implantation metastasis. MRI is useful in assessing this interventional model. The tumor model shows a well application for the interventional therapy experiment.
Effective treatment with Tocilizumab in a COVID-19 patient on maintenance hemodialysis: A case report
Authors: Nourié Nicole , Chamaa Mohamed Ammar , Mouawad Sarah , Koteit Micheline Mia , Finianos Serge , Azar Hiba , Chelala Dania 
Published: September 2020

Abstract
Background: Coronavirus disease 2019 (COVID-19) is a rapidly spreading infective disease caused by the severe acute respiratory syndrome coronavirus 2 virus (SARS-CoV-2). The management of this disease remains a challenge particularly in certain subgroups of patients such in hemodialysis patients who have higher exposure rates due to the nature of their in-hospital care, and higher mortality due to their burden of comorbidities. Moreover, molecules used in the general population to treat COVID-19 lack data regarding their pharmacodynamics in the hemodialysis population.Case presentation: We report a case of a 52-year-old patient with Von Hippel Lindau syndrome and end stage renal disease on hemodialysis who contracted COVID-19 infection. Due to the patient’s rapidly deteriorating clinical status he was successfully treated with Tocilizumab, despite the lack of data concerning the use of this molecule in this population. The patient was later discharged after a long hospital stay and progressive clinical, biological and radiological improvement.Conclusion: This sub group of patients should be carefully approached due to the unique nature of their comorbidities, and to their immune’s system response to the virus itself and to novel therapies. Although few studies were available regarding the use of Tocilizumab in the dialysis population, its use proved to be effective and well tolerated in our patient.
Visual Representation of SARS-CoV-2 Genomes in Multiple Regions on Integrated Maps
Authors: Zheng Jeffrey , Zhu Minghan 
Published: September 2020

Abstract
This paper represents visual results for the B2 module of the MAS. Using four meta genetic variables, multiple probability measures are extracted. Variations between pairs of virus genomes could be measured. From a macroscopic viewpoint, measures can be organized in a set of 1616 with (m+1)2 density matrix in combinations with supersymmetric properties. In view of the different types of coronary virus samples, various pairs of genomes make different projections under multiple levels of hierarchical forms of quantization matrix. Under proper selection, huge numbers of variations could be performed. Applying this transformation, a list of sample results are generated to illustrate intrinsic symmetric maps associated with selected parameters. Since this is an initial exploration, further explorations on theoretical foundation and specific applications are essential to support applicable theory and the systematic expansion on medical applications for COVID-19 patients.
Achieving Equitable Uptake of Handwashing and Sanitation by Addressing Both Supply and Demand-based Constraints: Findings From a Randomized Controlled Trial in Rural Bangladesh&nbsp;
Authors: Parvez Sarker Masud , Rahman Musarrat Jabeen , Azad Rashidul , Rahman Mahbubur , Unicomb Leanne , Ashraf Sania , Mondol Momenul Haque , Jahan Farjana , Winch Peter J. , Luby Stephen P. 
Published: September 2020

Abstract
Background: Supply driven programs that are not closely connected to community demand and demand-driven programs that fail to ensure supply both risk worsening inequity. Understanding patterns of uptake of behaviors among the poorest under ideal experimental conditions, such as those of an efficacy trial, can help identify strategies that could be strengthened in routine programmatic conditions for more equitable uptake. WASH Benefits Bangladesh was a randomized controlled efficacy trial that provided free-of cost WASH hardware along with behavior change promotion. The current paper aimed to determine the impact of the removal of supply and demand constraints on the uptake of handwashing and sanitation behaviors across wealth and education levels.Methods: The current analysis selected 4 indicators from the WASH Benefits trial— presence of water and soap in household handwashing stations, observed mother’s hand cleanliness, observed visible feces on latrine slab or floor and reported last child defecation in potty or toilet. A baseline assessment was conducted immediately after enrolment and endline assessment was conducted approximately 2 years later. We compared change in uptake of these indicators including wealth quintiles (Q) between intervention and control groups from baseline to endline.Results: For hand cleanliness, the poorest mothers improved more (Q1 difference in difference, DID: 16%) than the wealthiest mothers (Q5 DID: 7%). The poorest households had largest improvements for observed presence of water and soap in handwashing station (Q1 DID: 82%) compared to the wealthiest households (Q5 DID: 39%). Similarly, poorer household demonstrated greater reductions in visible feces on latrine slab or floor (Q1DID, -25% Q2: -34%) than the wealthiest household (Q5 DID: -1%). For reported last child defecation in potty or toilet, the poorest mothers showed greater improvement (Q1-4 DID: 50-54%) than the wealthier mothers (Q5 DID: 39%). Conclusion: By simultaneously addressing supply and demand-constraints among the poorest, we observed substantial overall improvements in equity. Within scaled-up programs, a separate targeted strategy that relaxes constraints for the poorest can improve the equity of a program. Trial registration: WASH Benefits Bangladesh: ClinicalTrials.gov, identifier: NCT01590095. Date of registration: April 30, 2012 ‘Retrospectively registered’URL: https://clinicaltrials.gov/ct2/show/NCT01590095
Probable Dates of Flex, Substantial Reduction in the Number of COVID–19 Positive Confirmed Cases and Fatalities in the State of Maharashtra (India)
Authors: .ARORA B. L 
Published: September 2020

Abstract
In this paper, we analyse the COVID-19 data of the number of confirmed positive infectious COVID-19 cases (I) in Maharashtra, the second most populous state of India, having a population of nearly 123 million – more than the population of most of the European countries. For this analysis, we use COVID-19 data for the period from April 1, 2020 to August 24, 2020 to find the flex in the I - t curve, where the second derivative of the curve becomes negative. i.e. the date from which the rate of growth of the number of infections starts decreasing – or a peak occurs in the daily new COVID – 19 positive cases. Here I is the total number of cumulative COVID-19 positive cases and t is the time (in days). The observed data are fitted by employing the Gauss error function formulaa + b erf(cx - d),(with four adjustable arbitrary parameters a, b, c, and d) following the prescriptions adopted by Ciufolini and Paolozzi [1] for the analysis of the COVID-19 data from Italy and China. The date of flex is found using data from April 1 to August 11, then the data from April 1 to August 12, and so on, till the data from April 1 to August 24. There is a variation in the dates of flex for these 14 sets of data; however, the date of flex converges to a definite date towards the later sets. We also calculate the standard deviation of these values to calculate the uncertainty in the expected date of flex. Using these parameter values, we also calculate the expected values of COVID–19 positive cases for future. From this data, we estimate the date(s) at which there is sufficient reduction in the number of new daily positive cases and the number of such cases are likely to increase by say, 1000.The data for the number of fatalities in the city is also fitted to a Gauss error function with four parameters of the above type and we estimate in this case also, the date of flex as well as the dates at which the number of fatalities reduces in proportion to sufficient reduction in the number of new COVID-19 cases, which in this case is approximately 34 (for 1000 new infections). The data for the above analysis has been taken from the website covid19India.org and Aarogya Setu App [2] of the Government of India.