1,893 research outputs found
Scoliosis : density-equalizing mapping and scientometric analysis
Background: Publications related to scoliosis have increased enormously. A differentiation between publications of major and minor importance has become difficult even for experts. Scientometric data on developments and tendencies in scoliosis research has not been available to date. The aim of the current study was to evaluate the scientific efforts of scoliosis research both quantitatively and qualitatively.
Methods: Large-scale data analysis, density-equalizing algorithms and scientometric methods were used to evaluate both the quantity and quality of research achievements of scientists studying scoliosis. Density-equalizing algorithms were applied to data retrieved from ISI-Web.
Results: From 1904 to 2007, 8,186 items pertaining to scoliosis were published and included in the database. The studies were published in 76 countries: the USA, the U.K. and Canada being the most productive centers. The Washington University (St. Louis, Missouri) was identified as the most prolific institution during that period, and orthopedics represented by far the most productive medical discipline. "BRADFORD, DS" is the most productive author (146 items), and "DANSEREAU, J" is the author with the highest scientific impact (h-index of 27).
Conclusion: Our results suggest that currently established measures of research output (i.e. impact factor, h-index) should be evaluated critically because phenomena, such as self-citation and co-authorship, distort the results and limit the value of the conclusions that may be drawn from these measures. Qualitative statements are just tractable by the comparison of the parameters with respect to multiple linkages. In order to obtain more objective evaluation tools, new measurements need to be developed
Characterizing physiological and symptomatic variation in menstrual cycles using self-tracked mobile health data
The menstrual cycle is a key indicator of overall health for women of
reproductive age. Previously, menstruation was primarily studied through survey
results; however, as menstrual tracking mobile apps become more widely adopted,
they provide an increasingly large, content-rich source of menstrual health
experiences and behaviors over time. By exploring a database of user-tracked
observations from the Clue app by BioWink of over 378,000 users and 4.9 million
natural cycles, we show that self-reported menstrual tracker data can reveal
statistically significant relationships between per-person cycle length
variability and self-reported qualitative symptoms. A concern for self-tracked
data is that they reflect not only physiological behaviors, but also the
engagement dynamics of app users. To mitigate such potential artifacts, we
develop a procedure to exclude cycles lacking user engagement, thereby allowing
us to better distinguish true menstrual patterns from tracking anomalies. We
uncover that women located at different ends of the menstrual variability
spectrum, based on the consistency of their cycle length statistics, exhibit
statistically significant differences in their cycle characteristics and
symptom tracking patterns. We also find that cycle and period length statistics
are stationary over the app usage timeline across the variability spectrum. The
symptoms that we identify as showing statistically significant association with
timing data can be useful to clinicians and users for predicting cycle
variability from symptoms or as potential health indicators for conditions like
endometriosis. Our findings showcase the potential of longitudinal,
high-resolution self-tracked data to improve understanding of menstruation and
women's health as a whole.Comment: The Supplementary Information for this work, as well as the code
required for data pre-processing and producing results is available in
https://github.com/iurteaga/menstrual_cycle_analysi
Physicians' working conditions and job satisfaction : does hospital ownership in Germany make a difference?
Background: A growing number of German hospitals have been privatized with the intention of increasing cost effectiveness and improving the quality of health care. Numerous studies investigated what possible qualitative and economic consequences these changes issues might have on patient care. However, little is known about how this privatization trend relates to physicians' working conditions and job satisfaction. It was anticipated that different working conditions would be associated with different types of hospital ownership. To that end, this study's purpose is to compare how physicians, working for both public and privatized hospitals, rate their respective psychosocial working conditions and job satisfaction.
Methods: The study was designed as a cross-sectional comparison using questionnaire data from 203 physicians working at German hospitals of different ownership types (private for-profit, public and private nonprofit).
Results: The present study shows that several aspects of physicians' perceived working conditions differ significantly depending on hospital ownership. However, results also indicated that physicians' job satisfaction does not vary between different types of hospital ownership. Finally, it was demonstrated that job demands and resources are associated with job satisfaction, while type of ownership is not.
Conclusion: This study represents one of a few studies that investigate the effect of hospital ownership on physicians work situation and demonstrated that the type of ownership is a potential factor accounting for differences in working conditions. The findings provide an informative basis to find solutions improving physicians' work at German hospitals
a cross-sectional study of differences among medical residents with various specialties working in German hospitals
Objectives This study aimed to analyse and compare differences in occupational
stress, depressive symptoms, work ability and working environment among
residents working in various medical specialties. Methods 435 German hospital
residents in medical training working in 6 different medical specialties
participated in a cross-sectional survey study. Physicians were asked about
their working conditions and aspects of mental health and work ability. The
Copenhagen Psychosocial Questionnaire, the Work Ability Index, the ICD-10
Symptom Rating and the Perceived Stress Questionnaire were used to measure
working conditions, mental health and work ability. Results Results show that
up to 17% of the physicians reported high levels of occupational distress and
9% reported high levels of depressive symptoms. 11% of the hospital physicians
scored low in work ability. Significant differences between medical
specialties were demonstrated for occupational distress, depressive symptoms,
work ability, job demands and job resources. Surgeons showed consistently the
highest levels of perceived distress but also the highest levels of work
ability and lowest scores for depression. Depressive symptoms were rated with
the highest levels by anaesthesiologists. Significant associations between
physicians’ working conditions, occupational distress and mental health-
related aspects are illustrated. Conclusions Study results demonstrated
significant differences in specific job stressors, demands and resources.
Relevant relations between work factors and physicians' health and work
ability are discussed. These findings should be reinvestigated in further
studies, especially with a longitudinal study design. This work suggests that
to ensure physicians' health, hospital management should plan and implement
suitable mental health promotion strategies. In addition, operational
efficiency through resource planning optimisation and work process
improvements should be focused by hospital managemen
Reduced inclination of cervical spine in a novel notebook screen system : implications for rehabilitation
Background: Professional working at computer notebooks is associated with high requirements on the body posture in the seated position. By the high continuous static muscle stress resulting from this position at notebooks, professionals frequently working at notebooks for long hours are exposed to an increased risk of musculoskeletal complaints. Especially in subjects with back pain, new notebooks should be evaluated with a focus on rehabilitative issues.
Methods: In a field study a new notebook design with adjustable screen was analyzed and compared to standard notebook position.
Results: There are highly significant differences in the visual axis of individuals who are seated in the novel notebook position in comparison to the standard position. Also, differences are present between further alternative notebook positions. Testing of gender and glasses did not reveal influences.
Conclusion: This study demonstrates that notebooks with adjustable screen may be used to improve the posture. Future studies may focus on patients with musculoskeletal diseases
Identifying firing mammalian neurons in networks with high-resolution multi-transistor array (MTA)
working conditions and individual resources as related factors
Objectives This study developed and tested a research model that examined the
effects of working conditions and individual resources on work–family conflict
(WFC) using data collected from physicians working at German clinics. Material
and methods This is a cross-sectional study of 727 physicians working in
German hospitals. The work environment, WFC and individual resources were
measured by the Copenhagen Psychosocial Questionnaire, the WFC Scale, the
Brief Resilient Coping Scale and the Questionnaire for Self-efficacy, Optimism
and Pessimism. Descriptive, correlation and linear regression analyses were
applied. Results Clinical doctors working in German hospitals perceived high
levels of WFC (mean=76). Sociodemographic differences were found for age,
marital status and presence of children with regard to WFC. No significant
gender differences were found. WFCs were positively related to high workloads
and quantitative job demands. Job resources (eg, influence at work, social
support) and personal resources (eg, resilient coping behaviour and self-
efficacy) were negatively associated with physicians’ WFCs. Interaction terms
suggest that job and personal resources buffer the effects of job demands on
WFC. Conclusions In this study, WFC was prevalent among German clinicians.
Factors of work organisation as well as factors of interpersonal relations at
work were identified as significant predictors for WFC. Our results give a
strong indication that both individual and organisational factors are related
to WFC. Results may play an important role in optimising clinical care.
Practical implications for physicians’ career planning and recommendations for
future research are discussed
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Predicting Persistent Opioid Use, Abuse, and Toxicity Among Cancer Survivors.
BackgroundAlthough opioids play a critical role in the management of cancer pain, the ongoing opioid epidemic has raised concerns regarding their persistent use and abuse. We lack data-driven tools in oncology to understand the risk of adverse opioid-related outcomes. This project seeks to identify clinical risk factors and create a risk score to help identify patients at risk of persistent opioid use and abuse.MethodsWithin a cohort of 106 732 military veteran cancer survivors diagnosed between 2000 and 2015, we determined rates of persistent posttreatment opioid use, diagnoses of opioid abuse or dependence, and admissions for opioid toxicity. A multivariable logistic regression model was used to identify patient, cancer, and treatment risk factors associated with adverse opioid-related outcomes. Predictive risk models were developed and validated using a least absolute shrinkage and selection operator regression technique.ResultsThe rate of persistent opioid use in cancer survivors was 8.3% (95% CI = 8.1% to 8.4%); the rate of opioid abuse or dependence was 2.9% (95% CI = 2.8% to 3.0%); and the rate of opioid-related admissions was 2.1% (95% CI = 2.0% to 2.2%). On multivariable analysis, several patient, demographic, and cancer and treatment factors were associated with risk of persistent opioid use. Predictive models showed a high level of discrimination when identifying individuals at risk of adverse opioid-related outcomes including persistent opioid use (area under the curve [AUC] = 0.85), future diagnoses of opioid abuse or dependence (AUC = 0.87), and admission for opioid abuse or toxicity (AUC = 0.78).ConclusionThis study demonstrates the potential to predict adverse opioid-related outcomes among cancer survivors. With further validation, personalized risk-stratification approaches could guide management when prescribing opioids in cancer patients
Influence of Structure Parameters on the Information Diffusion Process in Virtual Networks
This paper examines the effects of composition, size and structure of virtual networks on the diffusion of information. The research extends the Axelrod cultural model (ACM), an established theory rooted in political science research, to explain information dissemination among social actors in ICT-enabled virtual networks (Axelrod 1997). The investigation is focused on the impact of network structure parameters and gives insight on how a manipulation of those parameters influences the diffusion of information in virtual networks
Solid-state NMR enhanced by dynamic nuclear polarization as a novel tool for ribosome structural biology
The impact of Nuclear Magnetic Resonance (NMR) on studies of large macromolecular complexes hinges on improvements in sensitivity and resolution. Dynamic nuclear polarization (DNP) in the solid state can offer improved sensitivity, provided sample preparation is optimized to preserve spectral resolution. For a few nanomoles of intact ribosomes and an 800kDa ribosomal complex we demonstrate that the combination of DNP and magic-angle spinning NMR (MAS-NMR) allows one to overcome current sensitivity limitations so that homo- and heteronuclear 13C and 15N NMR correlation spectra can be recorded. Ribosome particles, directly pelleted and frozen into an NMR rotor, yield DNP signal enhancements on the order of ~25-fold and spectra that exhibit narrow linewidths, suitable for obtaining site-specific information. We anticipate that the same approach is applicable to other high molecular weight complexe
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