bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hospital acquired COVID-19 infections amongst patients before the rollout of COVID-19 vaccinations, a scoping review
Authors: Ngandu Nobubelo K. , Mmotsa Tshiamo M. , Dassaye Reshmi , Thabetha Alice , Odendaal Willem , Langdown Natasha , Ndwandwe Duduzile 
Published: February 2022

Abstract
Background
Hospital settings are at increased risk of spreading Coronavirus Disease 2019 (COVID-19) infections, hence non-pharmaceutical prevention interventions (NPPIs) and prioritized vaccination of healthcare workers and resident patients are critical. The status of COVID-19 hospital acquired infections (HAIs) in low-income settings is unclear. We aimed to identify and summarize the existing evidence on COVID-19 HAIs amongst patients, prior to the rollout of vaccines in countries worldwide.

Methods
We conducted a scoping review of English peer-reviewed literature in PubMed, Web of Science and Scopus using a combination of selected search terms. Full texts articles presenting results on COVID-19 HAIs in hospitalised patients before the rollout of vaccines in countries worldwide were eligible. Data extracted from eligible articles included estimates of COVID-19 HAIs, country, and type of hospital setting, and was summarized narratively. Quality assessment of included articles was not possible.

Results
Literature searches generated a total of 5920 articles, and 45 were eligible for analysis. Eligible articles were from Europe, North America, Asia, and Brazil and none were from low-income countries. The proportion of COVID-19 HAIs ranged from 0% when strict NPPIs were applied, to 65% otherwise. The estimates of COVID-19 HAIs did not differ by country but were lower in studies conducted after implementation of NPPIs and in specialized hospital settings for operative surgery. Studies conducted before the implementation of NPPIs or in long-term care and psychiatric wards often reported high estimates of HAI. Although there was no clear trend in general wards, those situated in academic hospitals managed to reduce HAI rates under strict NPPI protocols. Operative surgery settings, unlike psychiatric settings, effectively prevented COVID-19 HAI using tailored NPPIs.

Conclusion
The available evidence shows a high risk of COVID-19 HAIs, the feasibility of preventing HAIs in different healthcare settings and the importance of appropriately tailored NPPIs. There were no data from low-income settings, therefore, it is unclear whether the reported NPPI approaches could be equally effective elsewhere. We recommend routine monitoring of COVID-19 HAIs in countries with low vaccination coverage, to identify and close gaps in NPPIs and understand gains made from vaccinating healthcare workers and hospitalized patients.
Knowledge, use and attitudes of healthcare professionals towards patient-reported outcome measures (PROMs) at a comprehensive cancer center
Authors: Brunelli Cinzia , Zito Emanuela , Alfieri Sara , Borreani Claudia , Roli Anna , Caraceni Augusto , Apolone Giovanni 
Published: February 2022

Abstract
Background
Despite evidence of the positive impact of routine assessment of patient-reported outcome measures (PROMs), their systematic collection is not widely implemented in cancer care.

Aim
To assess the knowledge, use and attitudes of healthcare professionals (HCPs) towards PROMs and electronically collected PROMs (ePROMs) in clinical practice and research and to explore respondent-related factors associated with the above dimensions.

Method
An ad hoc developed online survey was administered to all HCPs employed in clinical activity in an Italian comprehensive cancer center. The survey investigated which PROMs were known and used, as well as HCPs’ opinions on the advantages and drawbacks of routine PROM assessment, including electronic assessment (ePROM). Linear and logistic regression models were used for association analyses.

Results
Five Hundred Eleven of nine hundred ninety-two invited HCPs (52%) provided analyzable responses. 68% were women, 46% were nurses and 42% physicians, and 52.5% had > 20 years seniority. The average number of PROMs known was six among 17 proposed. All proved to be under-used (< 28%) except unidimensional and multidimensional pain scales (77 and 36%). Respondents expressed an overall positive attitude towards PROMs, with strengths outweighing weaknesses (mean overall scores 3.6 and 2.9, respectively, on a 1–5 scale). 67% of respondents preferred electronic collection over paper and pencil. Profession was associated with knowledge and use (physicians reported knowing more PROMs than other professionals) and with a preference for electronic collection (nurses were less likely to prefer the electronic format than physicians). Senior HCPs were slightly more critical about both PROMs and electronic administration.

Conclusions
This survey indicates an acceptable level of knowledge of common PROM tools but low usage in practice. Based on the generally positive attitude of HCPs, routine implementation of ePROMs can be promoted as long as adequate resources and training are provided.

Trial registration
Not registered.
The efficacy and safety of intravitreal injection of Ranibizumab as pre-treatment for vitrectomy in proliferative diabetic retinopathy with vitreous hemorrhage
Authors: Li Shengguo , Yang Yan , Zou Jingling , Zeng Jun , Ding Chun 
Published: February 2022

Abstract
Background
Intravitreal injection of anti-vascular endothelial growth factor (VEGF) has become first line therapy for diabetic macular edema. This study evaluated the efficacy and safety of intravitreal injection of Ranibizumab (IVR) as pre-treatment for pars plana vitrectomy in proliferative diabetic retinopathy (PDR) patients with vitreous hemorrhage.

Methods
This pilot randomized controlled trial included 48 eyes with vitreous hemorrhage resulting from active PDR. Eyes were treated with IVR 1 or 3 days before vitrectomy or a sham subconjunctival injection 3 days before surgery. The occurrence of new tractional retinal detachment (TRD), total operation time, and intraoperative findings were compared. The concentrations of VEGF and connective tissue growth factor (CTGF) in aqueous humor and plasma collected at the time of IVR and vitrectomy were determined by ELISA.

Results
None of the patients who received IVR experienced new TRD. Ranibizumab injection improved intraoperative outcomes. The mean concentrations of VEGF in aqueous humor were significantly lower after than before IVR in patients who received IVR 1 and 3 days before surgery (P < 0.001 each). The CTGF/log10 (VEGF) ratio was significantly higher after than before IVR in patients who received IVR 3 days before vitrectomy (P = 0.046).

Conclusion
Preoperative IVR is an effective and safe strategy for the surgical treatment of severe PDR combined with vitreous hemorrhage. IVR 1 and 3 days before surgery can significantly reduce VEGF content in aqueous humor and effectively improve intraoperative conditions without causing TRD.

Trial registration
This study was registered with the Chinese Clinical Trial Registry. Name of the registry: Exploratory analysis of effect of intravitreal ranibizumab as pre-treatment for pars plana vitrectomy in proliferative diabetic retinopathy. Trial registration number: ChiCTR-ONC-16009520. Date of registration: October 20, 2016. URL of trial registry record: http://www.chictr.org.cn/searchprojen.aspx
Public health surveillance in the U.S. Department of Veterans Affairs: evaluation of the Praedico surveillance system
Authors: Lucero-Obusan Cynthia , Oda Gina , Mostaghimi Anoshiravan , Schirmer Patricia , Holodniy Mark 
Published: February 2022

AbstractBackgroundEarly threat detection and situational awareness are vital to achieving a comprehensive and accurate view of health-related events for federal, state, and local health agencies. Key to this are public health and syndromic surveillance systems that can analyze large data sets to discover patterns, trends, and correlations of public health significance. In 2020, Department of Veterans Affairs (VA) evaluated its public health surveillance system and identified areas for improvement.MethodsUsing the Centers for Disease Control and Prevention (CDC) Guidelines for Evaluating Public Health Surveillance Systems, we assessed the ability of the Praedico Surveillance System to perform public health surveillance for a variety of health issues and evaluated its performance compared to an enterprise data solution (VA Corporate Data Warehouse), legacy surveillance system (VA ESSENCE) and a national, collaborative syndromic surveillance platform (CDC NSSP BioSense).ResultsReview of system attributes found that the system was simple, flexible, and stable. Representativeness, timeliness, sensitivity, and Predictive Value Positive were acceptable but could be further improved. Data quality issues and acceptability present challenges that potentially affect the overall usefulness of the system.ConclusionsPraedico is a customizable surveillance and data analytics platform built on big data technologies. Functionality is straightforward, with rapid query generation and runtimes. Data can be graphed, mapped, analyzed, and shared with key decision makers and stakeholders. Evaluation findings suggest that future development and system enhancements should focus on addressing Praedico data quality issues and improving user acceptability. Because Praedico is designed to handle big data queries and work with data from a variety of sources, it could be enlisted as a tool for interdepartmental and interagency collaboration and public health data sharing. We suggest that future system evaluations include measurements of value and effectiveness along with additional organizations and functional assessments.
A configurable method for clinical quality measurement through electronic health records based on openEHR and CQL
Authors: Li Mengyang , Cai Hailing , Zhi Yunlong , Fu Zehai , Duan Huilong , Lu Xudong 
Published: February 2022

AbstractBackgroundOne of the primary obstacles to measure clinical quality is the lack of configurable solutions to make computers understand and compute clinical quality indicators. The paper presents a solution that can help clinical staff develop clinical quality measurement more easily and generate the corresponding data reports and visualization by a configurable method based on openEHR and Clinical Quality Language (CQL).MethodsFirst, expression logic adopted from CQL was combined with openEHR to express clinical quality indicators. Archetype binding provides the clinical information models used in expression logic, terminology binding makes the medical concepts consistent used in clinical quality artifacts and metadata is regarded as the essential component for sharing and management. Then, a systematic approach was put forward to facilitate the development of clinical quality indicators and the generation of corresponding data reports and visualization. Finally, clinical physicians were invited to test our system and give their opinions.ResultsWith the combination of openEHR and CQL, 64 indicators from Centers for Medicare & Medicaid Services (CMS) were expressed for verification and a complicated indicator was shown as an example. 68 indicators from 17 different scenes in the local environment were also expressed and computed in our system. A platform was built to support the development of indicators in a unified way. Also, an execution engine can parse and compute these indicators. Based on a clinical data repository (CDR), indicators were used to generate data reports and visualization and shown in a dashboard.ConclusionOur method is capable of expressing clinical quality indicators formally. With the computer-interpretable indicators, a systematic approach can make it more easily to define clinical indicators and generate medical data reports and visualization, and facilitate the adoption of clinical quality measurements.
Diabetes mellitus risk prediction in the presence of class imbalance using flexible machine learning methods
Authors: Sadeghi Somayeh , Khalili Davood , Ramezankhani Azra , Mansournia Mohammad Ali , Parsaeian Mahboubeh 
Published: February 2022

Abstract
Background
Early detection and prediction of type two diabetes mellitus incidence by baseline measurements could reduce associated complications in the future. The low incidence rate of diabetes in comparison with non-diabetes makes accurate prediction of minority diabetes class more challenging.

Methods
Deep neural network (DNN), extremely gradient boosting (XGBoost), and random forest (RF) performance is compared in predicting minority diabetes class in Tehran Lipid and Glucose Study (TLGS) cohort data. The impact of changing threshold, cost-sensitive learning, over and under-sampling strategies as solutions to class imbalance have been compared in improving algorithms performance.

Results
DNN with the highest accuracy in predicting diabetes, 54.8%, outperformed XGBoost and RF in terms of AUROC, g-mean, and f1-measure in original imbalanced data. Changing threshold based on the maximum of f1-measure improved performance in g-mean, and f1-measure in three algorithms. Repeated edited nearest neighbors (RENN) under-sampling in DNN and cost-sensitive learning in tree-based algorithms were the best solutions to tackle the imbalance issue. RENN increased ROC and Precision-Recall AUCs, g-mean and f1-measure from 0.857, 0.603, 0.713, 0.575 to 0.862, 0.608, 0.773, 0.583, respectively in DNN. Weighing improved g-mean and f1-measure from 0.667, 0.554 to 0.776, 0.588 in XGBoost, and from 0.659, 0.543 to 0.775, 0.566 in RF, respectively. Also, ROC and Precision-Recall AUCs in RF increased from 0.840, 0.578 to 0.846, 0.591, respectively.

Conclusion
G-mean experienced the most increase by all imbalance solutions. Weighing and changing threshold as efficient strategies, in comparison with resampling methods are faster solutions to handle class imbalance. Among sampling strategies, under-sampling methods had better performance than others.
Healthcare professionals’ perceptions of childhood obesity in Iquitos, Peru: a qualitative study
Authors: Lai Jo F. , Clarke Joanne , de Wildt Gilles , Meza Graciela , Addo Miriam A. , Gardiner Esme , Khanna Divya 
Published: February 2022

Abstract
Background
Childhood obesity is an urgent worldwide concern associated with increased morbidity in adulthood. Healthcare professionals (HCPs) are well placed to influence childhood obesity trends and implement interventions. English-language studies regarding HCPs’ perceptions of childhood obesity are limited to high-income countries. Peru is an upper-middle-income country with regional disparities in childhood obesity prevalence. This qualitative study aims to explore HCPs’ perceptions of childhood obesity in Iquitos, Peru, where prevalence is relatively low.

Methods
Twenty-one HCPs with child healthcare experience were purposively recruited from two primary healthcare centres. Semi-structured, individual interviews were conducted with a translator and audio recorded. Transcribed data were analysed using thematic analysis.

Results
Eight themes were identified and divided into four categories: (1) HCPs’ perceptions and attitudes towards childhood obesity (level of concern regarding childhood obesity, perceived consequences of childhood obesity); (2) Factors which HCPs perceive to be important in the development of childhood obesity (parental factors, contextual factors); (3) HCPs’ perceptions of their role in childhood obesity prevention and management (educating parents about childhood obesity, regular monitoring of child growth); and (4) Barriers and facilitators in childhood obesity prevention and management (in healthcare, in schools).

Conclusions
HCPs had a low level of concern regarding childhood obesity in Iquitos and prioritised undernutrition. Parental factors were perceived to be the most influential in the development of childhood obesity. HCPs perceived themselves to have minimal influence due to prevailing positive views of excess weight and difficulties engaging parents. Educating parents about childhood obesity was felt to be essential to prevention and management although regular monitoring of child growth and home healthcare visits were viewed as useful additional measures. This study can help to inform the development of targeted public health strategies which are sensitive to local contexts and could prevent the upward childhood obesity trends evident elsewhere in Peru.
Impact of accreditation on health care services performance in Kiryandongo district, Uganda: a longitudinal study
Authors: Matovu Moses , Musiime Elias , Olak Patrick , Mulindwa Muhammad , Namisango Eve , Songwe Kilian 
Published: February 2022

Abstract
Background
The COVID-19 pandemic has emphasised the need for quality laboratory services worldwide. There is renewed focus to strengthen country capacities and laboratories to effectively respond to public health emergencies and patient outcomes. Uganda launched the accreditation program for public health facilities in 2016 with sixteen laboratories. As of June 2021, twenty-three public laboratories have attained ISO 15189:2012 accreditation status. Despite the tremendous achievements of accrediting laboratories in Uganda, laboratory services still face challenges like stock out of commodities and limited testing scopes. We conducted this study to evaluate the impact of accreditation on health care services performance in Kiryandongo district, Uganda.

Methods
We conducted a longitudinal study from January 1, 2020- April 30, 2021 at ten health facilities in Kiryandongo district. We collected health care services performance data from the MoH dhis-2 on selected indicators for HIV, TB, Malaria, Laboratory, Maternal & child health and dhis-2 reporting. We used Generalized Estimating Equations to estimate the impact of accreditation on health care services performance at the different health facilities.

Results
The odds at the accredited facility in comparison to the non-accredited public facilities were; 14% higher for ART enrolment (OR = 1.14, 95% CI: 1.04–1.25), 9% lower for determine testing kits stock out (OR = 0.91, 95% CI: 0.85–0.97), 28% higher for TB case diagnosis (OR = 1.28, 95% CI: 1.10–1.49), 19% higher for TB case enrolment (OR = 1.19, 95% CI: 1.04–1.36), 104% higher for maternity admissions (OR = 2.04, 95% CI: 1.60–2.59), 63% higher for maternity deliveries (OR = 1.63, 95% CI: 1.39–1.90) and 17% higher for reporting hmis 10:01 data to dhis-2 (OR = 1.17, 95% CI: 1.04–1.31).
The odds at the accredited facility in comparison to the non-accredited PNFP facilities were; 26% higher for ART enrolment (OR = 1.26, 95% CI: 1.17–1.36), 33% higher for TB case diagnosis (OR = 1.33, 95% CI: 1.15–1.55), 24% higher for TB case enrolment (OR = 1.24, 95% CI: 1.09–1.42), 136% higher for maternity admissions (OR = 2.36, 95% CI: 1.89–2.94), 76% higher for maternity deliveries (OR = 1.76, 95% CI: 1.51–2.04) and 2% higher for reporting of hmis-10:01 data to dhis-2 (OR = 1.02, 95% CI: 1.01–1.03).

Conclusions
HIV, TB, laboratory, MCH, and reporting to dhis-2 selected indicators were positively impacted by accreditation. This impact translated into increased health care services performance at the accredited facility as compared to the non-accredited facilities.
3T high-resolution magnetic resonance imaging, conventional ultrasonography and ultrasound biomicroscopy of the normal canine eye
Authors: Ivan Daniel , Ohlerth Stefanie , Richter Henning , Verdino Dagmar , Rampazzo Antonella , Pot Simon 
Published: February 2022

Abstract
Background
Advances in MRI coil technology and increased availability of high-field MRI in veterinary medicine enable the acquisition of images of increasingly high spatial resolution while preserving signal-to-noise ratio.The purpose of the present study was to compare 3T high-resolution magnetic resonance imaging (HR-MRI) with ultrasound (US) and ultrasound biomicroscopy (UBM) in the normal canine eye, to assess its potential to depict normal ocular anatomy.

Results
HR-MRI was compared with US and UBM in 10 eyes from 10 healthy beagle dogs. Ocular structures (cornea, anterior chamber, iridocorneal angle, iris, lens, ciliary body, choroid, vitreous body, posterior wall of the eye, optic nerve and optic nerve sheath, extraocular muscles) were assessed subjectively and central corneal thickness (CCT), anterior chamber depth (ACD), aqueous depth (AQD), anteroposterior, mediolateral and dorsoventral lens diameter (APLD, MLLD, DVLD), anteroposterior diameter of the globe including and excluding the scleroretinal rim (APDSRR, APD), vitreous chamber depth (VCD) and optic nerve sheath diameter (ONSD) were measured in HR-MRI and in US. Optic nerve diameter (OND) was measured in HR-MRI. HR-MRI and UBM appearance of the anterior segment were subjectively compared. Detailed reference high-resolution MRI images of normal eyes of Beagle dogs are provided.

Conclusions
HR-MRI allowed assessment of all structures identified with US and UBM. The MRI examinations were performed under general anesthesia with the addition of a neuromuscular blocking agent, while US and UBM examinations were performed in conscious animals. Visibility of the entire ocular wall, the lens, the structures caudal to the ciliary body and the optic nerve and its sheath was superior with HR-MRI. HR-MRI allowed the distinction of retina, choroid and sclera, and the delineation of structures not previously identified in canine eyes with MRI, including Tenon’s capsule and the sub-Tenon’s space.Plane selection was more accurate with HR-MRI compared to US. In general, the range of measurements was narrower for MRI than for US. CCT, AQD, APLD, MLLD, APD, APDSRR and ONSD differed significantly between HR-MRI and US, respectively (p = 0.005-0.027).Micro-MRI may be useful for the assessment of ocular pathologies in the future.