bluuebunny/crossref_metadata_2025_split huggingface dataset:
Validity and reliability of the Chinese version of the Normalization MeAsure Development(NoMAD)
Authors: Jiang Mengyao , Wang Qing , Finch Tracy , She Dongli , Zhou Yujun , Chung Yuet Foon , Chen Jie , Han Lin 
Published: November 2022

Abstract
Background
The Normalization MeAsure Development (NoMAD) is a brief quantitative tool based on the Normalization Process Theory (NPT), which can measure the implementation process of new technologies and complex interventions. The aim of our study was to translate and culturally adapt the NoMAD into Chinese, and to evaluate the psychometric properties of the Chinese version of NoMAD.

Methods
According to the NoMAD translation guideline, we undertook forward translation, backward translation, and compared these translations to get a satisfactory result, then we performed cognitive interviews to achieve cross-culture adaptation. And the psychometric properties of the final version were evaluated among clinical nurses who used the pressure injuries management system via WeChat mini-program at a tertiary hospital in northwestern China.

Results
A total of 258 nurses were enrolled in our study, and the response rate was 92.1%. The Cronbach’s alpha of four dimensions were as follow: Coherence (0.768), Cognitive Participation (0.904), Collective Action (0.820), and Reflexive Monitoring (0.808). The overall internal consistency was 0.941. The confirmatory factor analysis results showed a good fit for its theoretical structure (CFI = 0.924, TLI = 0.910, RMSEA = 0.0079, SRMSR = 0.046, χ2/df = 2.61). The item-level content validity index ranged from 0.857 to 1, and the scale-level content validity index was 0.95. There were positive correlations between four constructs scores and three general normalization scores.

Conclusions
The Chinese version of NoMAD is a reliable and valid tool to evaluate the implementation process of innovations.
Assessment of competencies in the prevention and control of chronic diseases and their influencing factors among health assistants in Bhutan: a cross-sectional study
Authors: Lhadon Tshewang , Kitreerawutiwong Nithra 
Published: November 2022

AbstractBackgroundThe morbidity and mortality of chronic diseases are increasing worldwide. The literature confirms that the prevention and control of chronic disease necessitates a robust primary health care system with a competent health care workforce. Studies on competencies in the prevention and control of chronic diseases and their determinants among health assistants (HAs) in Bhutan are scarce. This cross-sectional survey aimed to examine the level of competencies and investigate the factors influencing competencies in the prevention and control of chronic diseases among HAs.MethodsThe sample consisted of 330 HAs who were recruited through simple random sampling. A validated and reliable self-administered questionnaire was used to collect data through a web-based Google Form. Data were analysed using descriptive statistics and multiple regression analysis.ResultsThe findings showed that the mean summed competency score was 191 (SD = 25.7). Approximately 96% of the participants perceived that they were competent in the prevention and control of chronic diseases. The multiple regression analysis indicated that work environment (β = 0.473), sex (β = 0.126), location of the health facility (β = − 0.114), and organizational support (β = 0.117) affected competencies in the prevention and control of chronic diseases by 31.4% with statistical significance (R2 = 0.314) (p < 0.05).ConclusionsThis study suggested that improving the number of staff and availability of learning resources, considering training for both sexes, especially female primary health care workers, enhancing mentorship and supervision in rural areas, and establishing the recognition and encouragement of primary health care workers are needed.
Education-related inequalities in beliefs and behaviors pertaining to COVID-19 non-pharmaceutical interventions
Authors: Kirkby Katherine , Bergen Nicole , Vidal Fuertes Cecilia , Schlotheuber Anne , Hosseinpoor Ahmad Reza 
Published: November 2022

Abstract
Background
The coronavirus pandemic has exposed existing social inequalities in relation to disease preventive behaviors, risk of exposure, testing and healthcare access, and consequences as a result of illness and containment measures across different population groups. However, due to a lack of data, to date there has been limited evidence of the extent of such within-country inequalities globally.

Methods
We examined education-related inequalities in four COVID-19 prevention and testing indicators within 90 countries, using data from the University of Maryland Social Data Science Center Global COVID-19 Trends and Impact Survey, in partnership with Facebook, over the period 1 June 2021 to 31 December 2021. The overall level of education-related inequalities, as well as how they differ across country income groups and how they have changed over time were analyzed using the Slope Index of Inequality (SII) and the Relative Index of Inequality (RII). We also assessed whether these education-related inequalities were associated with government policies and responses.

Results
Education-related inequalities in beliefs, mask wearing, social distancing and testing varied across the study countries. Mask wearing and beliefs in the effectiveness of social distancing and mask wearing were overall more common among people with a higher level of education. Even after controlling for other sociodemographic and health-related factors, social distancing practice was higher among the most educated in low/lower middle income countries, but was higher overall among the least educated in high income countries. Overall there were low education-related inequalities in COVID-19 testing, though there was variation across countries.

Conclusions
The study highlights important within-country education-related differences in COVID-19 beliefs, preventive behaviors and testing, as well as differing trends across country income groups. This has implications for considering and targeting specific population groups when designing public health interventions and messaging during the COVID-19 pandemic and future health emergencies.
Effect size quantification for interrupted time series analysis: implementation in R and analysis for Covid-19 research
Authors: Travis-Lumer Yael , Goldberg Yair , Levine Stephen Z. 
Published: November 2022

Abstract
Background
Interrupted time series (ITS) analysis is a time series regression model that aims to evaluate the effect of an intervention on an outcome of interest. ITS analysis is a quasi-experimental study design instrumental in situations where natural experiments occur, gaining popularity, particularly due to the Covid-19 pandemic. However, challenges, including the lack of a control group, have impeded the quantification of the effect size in ITS. The current paper proposes a method and develops a user-friendly R package to quantify the effect size of an ITS regression model for continuous and count outcomes, with or without seasonal adjustment.

Results
The effect size presented in this work, together with its corresponding 95% confidence interval (CI) and P-value, is based on the ITS model-based fitted values and the predicted counterfactual (the exposed period had the intervention not occurred) values. A user-friendly R package to fit an ITS and estimate the effect size was developed and accompanies this paper. To illustrate, we implemented a nation population-based ITS study from January 2001 to May 2021 covering the all-cause mortality of Israel (n = 9,350 thousand) to quantify the effect size of Covid-19 exposure on mortality rates. In the period unexposed to the Covid-19 pandemic, the mortality rate decreased over time and was expected to continue decreasing had Covid-19 not occurred. In contrast, the period exposed to the Covid-19 pandemic was associated with an increased all-cause mortality rate (relative risk = 1.11, 95% CI = 1.04, 1.18, P < 0.001).

Conclusion
For the first time, the effect size in ITS: was quantified, can be estimated by end-users with an R package we developed, and was demonstrated with data showing an increase in mortality following the Covid-19 pandemic. ITS effect size reporting can assist public health policy makers in assessing the magnitude of the entire intervention effect using a single, readily understood measure.
The landscape of medical care consumption in Israel: a nationwide population cross-sectional study
Authors: Yosef Yoni , Kiderman Alexander , Chinitz David , Lahad Amnon 
Published: November 2022

Abstract
Background
The Ecology of medical care was first published in 1961. The graphical square model showed that 75% of the population in the US and England experience a feeling of illness during a given month, 25% seek medical help and only one percent are hospitalized. In 2001, Green and colleagues found the same findings despite the many changes that occurred over the past decades. The frequency of illness, the desire for assistance and the frequency of seeking and getting medical assistance may differ in different populations due to cultural, economic, social, demographic background and local Health policy. This work describes the ecology of medical care consumption in Israel for the first time and examines the socio-demographic effects on consumption.

Methods
This is a Nationwide cross-sectional study. A telephone survey was conducted among a representative sample of the adult population (> 15 years) in Israel. Subjective morbidity rate in the preceding month, the rate of those considering medical assistance and those who got assistance were calculated. Correlation between socio-demographic variables and patterns of morbidity and medical care consumption was examined using a t-test and chi square for continuous quantitative and categorical variables. Logistic regression was used for multivariate analysis.

Results
A total of 1862 people participated; 49.5% reported having symptoms in the previous month, 45% considered seeking medical advice, 35.2% sought out medical assistance and only 1.5% were hospitalized. The vast majority chose to contact their family physician (58%) and the primary care setting provided their needs in 80% of the cases; Subjective morbidity and medical care consumption differed significantly between Israeli Jews and Arabs. Gaps in the availability of medical services were observed as residents of the periphery forewent medical services significantly more than others (OR = 1.42, p = 0.026).

Conclusions
Subjective morbidity is less common in Israel than in other countries, but paradoxically consumption of medical services is higher. An Israeli who feels ill will usually consider receiving assistance and will indeed receive assistance in most cases. However, a greater tendency to forego medical services in the periphery indicates barriers and inequality in the provision of health services. Different cultural perceptions, lack of knowledge and low accessibility to medical services in the periphery probably contribute to the contrast shown between low consumption of medical services and high prevalence of chronic illness in Arab society. The prevailing preference for family medicine and its ability to deal with most requests for assistance suggest that strengthening family medicine in the periphery may reduce those barriers and inequalities.
How to measure multidimensional quality of life of persons with disabilities in public policies - a case of Poland
Authors: Grabowska Izabela , Antczak Radosław , Zwierzchowski Jan , Panek Tomasz 
Published: November 2022

Abstract
Background
The aim of this paper is to construct a tool that can be used to measure multidimensional quality of life of persons with disabilities in comparison with population without disabilities for the purpose of monitoring of the UN Convention on the Rights of Persons with Disabilities (UNCRPD) in Poland.

Methods
The Sen’s capability approach was applied to conceptualize the quality of life in various life domains. We followed guidelines of The Quality of Life Framework developed within the European Statistical System on choosing the life domains in which the QoL should be measured. The QoL scores in each domain (covered by the UNCRPD) were constructed using multiply indicators and multiple causes model (MIMIC). All analysis were based on 2018 EU-SILC data for Poland. We constructed quality of life indicators for population with and without disabilities and compared the differences.

Results
Persons without disability experienced higher QoL as compared to population with disabilities, overall and in various domains. Lower average QoL of persons with disabilities is a result of a lower share of those who experience high QoL. The biggest difference is observed for health and for productive and main activity domains. For material conditions and economic security and physical safety there was a moderate difference recorded. For the leisure and social relations domain there is almost no difference observed. Additionally, we identified diversified associations between such factors as age, gender, household situation, education, partner status, urbanization, health on the QoL across domains and analysed populations.

Conclusions
A tool developed in this paper can be calibrated to enable cross-country and in time comparisons between different populations and support evidenced-based social policy.
Validating administrative data to identify complex surgical site infections following cardiac implantable electronic device implantation: a comparison of traditional methods and machine learning
Authors: Rennert-May Elissa , Leal Jenine , MacDonald Matthew K. , Cannon Kristine , Smith Stephanie , Exner Derek , Larios Oscar E. , Bush Kathryn , Chew Derek 
Published: November 2022

Abstract
Background
Cardiac implantable electronic device (CIED) surgical site infections (SSIs) have been outpacing the increases in implantation of these devices. While traditional surveillance of these SSIs by infection prevention and control would likely be the most accurate, this is not practical in many centers where resources are constrained. Therefore, we explored the validity of administrative data at identifying these SSIs.

Methods
We used a cohort of all patients with CIED implantation in Calgary, Alberta where traditional surveillance was done for infections from Jan 1, 2013 to December 31, 2019. We used this infection subgroup as our “gold standard” and then utilized various combinations of administrative data to determine which best optimized the sensitivity and specificity at identifying infection. We evaluated six approaches to identifying CIED infection using administrative data, which included four algorithms using International Classification of Diseases codes and/or Canadian Classification of Health Intervention codes, and two machine learning models. A secondary objective of our study was to assess if machine learning techniques with training of logistic regression models would outperform our pre-selected codes.

Results
We determined that all of the pre-selected algorithms performed well at identifying CIED infections but the machine learning model was able to produce the optimal method of identification with an area under the receiver operating characteristic curve (AUC) of 96.8%. The best performing pre-selected algorithm yielded an AUC of 94.6%.

Conclusions
Our findings suggest that administrative data can be used to effectively identify CIED infections. While machine learning performed the most optimally, in centers with limited analytic capabilities a simpler algorithm of pre-selected codes also has excellent yield. This can be valuable for centers without traditional surveillance to follow trends in SSIs over time and identify when rates of infection are increasing. This can lead to enhanced interventions for prevention of SSIs.
Identification of biomarkers associated with the feed efficiency by metabolomics profiling: results from the broiler lines divergent for high or low abdominal fat content
Authors: Su Zhiyong , Bai Xue , Wang Haoyu , Wang Shouzhi , Chen Chong , Xiao Fan , Guo Huaishun , Gao Haihe , Leng Li , Li Hui 
Published: November 2022

Abstract
Background
Improving feed efficiency (FE) is one of the main objectives in broiler breeding. It is difficult to directly measure FE traits, and breeders hence have been trying to identify biomarkers for the indirect selection and improvement of FE traits. Metabolome is the "bridge" between genome and phenome. The metabolites may potentially account for more of the phenotypic variation and can suitably serve as biomarkers for selecting FE traits. This study aimed to identify plasma metabolite markers for selecting high-FE broilers. A total of 441 birds from Northeast Agricultural University broiler lines divergently selected for abdominal fat content were used to analyze plasma metabolome and estimate the genetic parameters of differentially expressed metabolites.

Results
The results identified 124 differentially expressed plasma metabolites (P < 0.05) between the lean line (high-FE birds) and the fat line (low-FE birds). Among these differentially expressed plasma metabolites, 44 were found to have higher positive or negative genetic correlations with FE traits (|rg| ≥ 0.30). Of these 44 metabolites, 14 were found to display moderate to high heritability estimates (h2 ≥ 0.20). However, among the 14 metabolites, 4 metabolites whose physiological functions have not been reported were excluded. Ultimately, 10 metabolites were suggested to serve as the potential biomarkers for breeding the high-FE broilers. Based on the physiological functions of these metabolites, reducing inflammatory and improving immunity were proposed to improve FE and increase production efficiency.

Conclusions
According to the pipeline for the selection of the metabolite markers established in this study, it was suggested that 10 metabolites including 7-ketocholesterol, dimethyl sulfone, epsilon-(gamma-glutamyl)-lysine, gamma-glutamyltyrosine, 2-oxoadipic acid, L-homoarginine, testosterone, adenosine 5'-monophosphate, adrenic acid, and calcitriol could be used as the potential biomarkers for breeding the "food-saving broilers".
Understanding the versatile roles and applications of EpCAM in cancers: from bench to bedside
Authors: Liu Yiyang , Wang Yufei , Sun Sheng , Chen Zeyu , Xiang Shuai , Ding Zeyang , Huang Zhao , Zhang Bixiang 
Published: November 2022

AbstractEpithelial cell adhesion molecule (EpCAM) functions not only in physiological processes but also participates in the development and progression of cancer. In recent decades, extensive efforts have been made to decipher the role of EpCAM in cancers. Great advances have been achieved in elucidating its structure, molecular functions, pathophysiological mechanisms, and clinical applications. Beyond its well-recognized role as a biomarker of cancer stem cells (CSCs) or circulating tumor cells (CTCs), EpCAM exhibits novel and promising value in targeted therapy. At the same time, the roles of EpCAM in cancer progression are found to be highly context-dependent and even contradictory in some cases. The versatile functional modules of EpCAM and its communication with other signaling pathways complicate the study of this molecule. In this review, we start from the structure of EpCAM and focus on communication with other signaling pathways. The impacts on the biology of cancers and the up-to-date clinical applications of EpCAM are also introduced and summarized, aiming to shed light on the translational prospects of EpCAM.
Mediating effects of self-concept clarity and self-objectification on the relationship between celebrity worship and the process of considering cosmetic surgery among Chinese undergraduates
Authors: Cui Jia , Fang Yong 
Published: November 2022

Abstract
Background
Several studies have examined the relationship between celebrity worship and cosmetic surgery; however, few have discussed the mediating role of self-concept. To fill this research gap, the present study aims to examine the mediating roles of self-concept clarity and self-objectification in the association between celebrity worship and cosmetic surgery.

Methods
A sample of 1,089 Chinese undergraduates (Mage = 20.32; SDage = 2.60) completed measures of celebrity worship, actively considering cosmetic surgery, self-concept clarity, and self-objectification. Mediating effect analysis was used to test the hypothesis.

Results
The results showed that celebrity worship, cosmetic surgery consideration, and self-objectification were positively correlated, whereas self-concept clarity was negatively correlated with all three variables. Mediation analysis revealed that celebrity worship predicted consideration of cosmetic surgery not only directly but also through three indirect paths through the mediating role of (1) self-concept clarity, (2) self-objectification, and (3) the chain mediating role of self-concept clarity and self-objectification.

Conclusions
These findings broaden our understanding of the psychological processes that underlie the association between celebrity worship and considering cosmetic surgery and afford practical guidance on reducing the risks associated with cosmetic surgery.
Inequality in mammography uptake: results from recruitment phase of first cohort study among Iranian Kurdish population
Authors: Mirzaei-Alavijeh Mehdi , Jerome-D”Emilia Bonnie , Najafi Farid , Moradinazar Mehdi , Pirouzeh Razieh , Jalilian Farzad 
Published: November 2022

AbstractBackgroundBreast cancer is the most common malignant disease in women and is the leading cause of cancer deaths among women. Mammography is the best and the most available diagnostic method for breast cancer early detection. The aim of this study was to investigate the prevalence and inequality in the mammography uptake among Kurdish women in the west of Iran.MethodsThis cohort study was conducted using data extracted from the Ravansar Non-communicable Cohort Study among Kurdish women in the west of Iran from 2014 to 2018. The sample included 5289 women aged 35–65 years. The relative and generalized (absolute) concentration index (RC and GC, respectively) was used to quantify and decompose socioeconomic inequalities in mammography uptake.ResultsOverall concentration index for mammography was 0.2107, indicating that the mammography uptake concentration was greater in women with a higher socioeconomic status (SES). The predictor variables accounted for 44.6% of the inequality in the mammography uptake. Higher SES, living in urban areas, and age group of 51–55 years old increased the chance of having a mammogram. Available evidence supports the inequality of mammography uptake in favor of women with higher SES.ConclusionsCost-free screening services for low SES women, and the development of breast cancer prevention campaigns focusing on disadvantaged women could have an important role in mammography uptake and in the reduction of inequalities.