Documentation of psoriasis in routine care – expert consensus on a German data set

Abstract Background Hospital-acquired pressure injuries (HAPrIs) are areas of damage to the skin occurring among 5–10% of surgical intensive care unit (ICU) patients. HAPrIs are mostly preventable; however, prevention may require measures not feasible for every patient because of the cost or intensity of nursing care. Therefore, recommended standards of practice include HAPrI risk assessment at routine intervals. However, no HAPrI risk-prediction tools demonstrate adequate predictive validity in the ICU population. The purpose of the current study was to develop and compare models predicting HAPrIs among surgical ICU patients using electronic health record (EHR) data. Methods In this retrospective cohort study, we obtained data for patients admitted to the surgical ICU or cardiovascular surgical ICU between 2014 and 2018 via query of our institution's EHR. We developed predictive models utilizing three sets of variables: (1) variables obtained during routine care + the Braden Scale (a pressure-injury risk-assessment scale); (2) routine care only; and (3) a parsimonious set of five routine-care variables chosen based on availability from an EHR and data warehouse perspective. Aiming to select the best model for predicting HAPrIs, we split each data set into standard 80:20 train:test sets and applied five classification algorithms. We performed this process on each of the three data sets, evaluating model performance based on continuous performance on the receiver operating characteristic curve and the F1 score. Results Among 5,101 patients included in analysis, 333 (6.5%) developed a HAPrI. F1 scores of the five classification algorithms proved to be a valuable evaluation metric for model performance considering the class imbalance. Models developed with the parsimonious data set had comparable F1 scores to those developed with the larger set of predictor variables. Conclusions Results from this study show the feasibility of using EHR data for accurately predicting HAPrIs and that good performance can be found with a small group of easily accessible predictor variables. Future study is needed to test the models in an external sample.

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Vulnerable Subgroups and Numeracy Practices: How Poverty, Debt, and Unemployment Relate to Everyday Numeracy Practices

Adult Education Quarterly ◽

10.1177/0741713619841132 ◽

2019 ◽

Vol 69 (4) ◽

pp. 251-270 ◽

Cited By ~ 9

Author(s):

Anke Grotlüschen ◽

Klaus Buddeberg ◽

Alina Redmer ◽

Harald Ansen ◽

Jesper Dannath

Keyword(s):

Low Income ◽

Data Set ◽

Local Sample ◽

Numeracy Skills ◽

International Assessment ◽

German Data

Adult numeracy is underresearched especially regarding numeracy practices. Research shows general correlations between numeracy skills and the use of these skills, indicating that low proficient groups use their skills less often than others do. Earlier research also shows correlations of low numeracy skills and practices with low income. Both results feed stereotypes that vulnerable subgroups—with low numeracy proficiency or a low monthly budget—would not calculate much and this would even cause their complicated income situation. Findings of this article show that the tighter the budget is the more likely vulnerable subgroups are to monitor it by frequent calculations of prices, costs, or budgets. This article connects representative Programme for the International Assessment of Adult Competencies data from the German data set with a local sample of people with lowest income. Findings show that vulnerable subgroups calculate more often than other parts of the population, but they mostly do without technical devices.

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RELATIONSHIP BETWEEN FAMILY INVOLVEMENT IN CARE PLANNING AND ESTABLISHING AN ADVANCE DIRECTIVE

Innovation in Aging ◽

10.1093/geroni/igz038.2839 ◽

2019 ◽

Vol 3 (Supplement_1) ◽

pp. S772-S772

Author(s):

Ellen McCreedy ◽

lacey Loomer ◽

Jennifer Palmer ◽

Angelo Volandes ◽

Susan Mitchell ◽

...

Keyword(s):

Competing Risks ◽

Family Involvement ◽

Advance Care Planning ◽

Advance Directive ◽

Cumulative Incidence ◽

Routine Care ◽

Care Planning ◽

Observation Window ◽

Data Set ◽

Advance Care

Abstract The purpose of this research is to understand the effect of family participation in care planning assessments on the use of advance directives for newly admitted nursing home (NH) residents. This is a retrospective cohort study using data from 115 nursing homes involved in a pragmatic randomized clinical trial testing a video intervention for advance care planning (versus usual care). Data sources included the electronic health record and the Minimum Data Set (MDS). Competing risks regression analyses estimated the cumulative incidence of establishing an advance directive, after accounting for death, discharge from NH, and time censoring (12-month observation window). 18,978 residents admitted to eligible NHs without an advance directive (full code) between April 2, 2016 and August 31, 2017 were followed for one year. 11,905 (63%) died or were discharged without an advance directive; 4,155 (22%) remained in the NH without an advance directive; and 2,918 (15%) established an advance directive. Median time to establishing an advance directive was 75 days (SD: 72, 79). After adjusting for competing risks and resident factors known to be associated with advance directive use, each care planning assessment involving a family member was associated with a 6% increase in the cumulative incidence advance directive use. Involving family members of NH residents in routine care planning assessments may reduce the amount of futile care received by NH residents. As we test interventions to improve advance care planning for NH residents, focus should be placed upstream on the first 90 days after admission.

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The Success of Business Forecasting: Comparisons across Industries, Countries and Time

International Business Research ◽

10.5539/ibr.v13n10p108 ◽

2020 ◽

Vol 13 (10) ◽

pp. 108

Author(s):

Tobias F. Rötheli

Keyword(s):

Forecast Accuracy ◽

Data Set ◽

Electric Machinery ◽

Forecasting Performance ◽

Business Forecasting ◽

The Stability ◽

Changes Over Time ◽

German Data ◽

Historical Periods ◽

Over Time

This study assesses the accuracy of forecasts by industry branches. Such an investigation provides a perspective on the relative benefits of forecasting in different industries. Accuracy of forecasting is assessed by econometrically investigating expectations data on firms’ production drawn from surveys covering manufacturing. Such data is available for only few countries and few historical periods. We study U.S. data covering the 1980s and German data over the period from 1991 to 2018. We first present rankings of industries according to forecast accuracy for both countries. Then the historical gap between the two countries’ data set is put to use to assess the stability and the dynamics in the relevance of forecasting in different branches of industry. We identify several industries that – across time and place – are among the most (e.g., electric machinery) and least accurate forecasters (e.g., the food industry). By contrast in some industries forecasting performance appear to undergo noticeable changes over time: the reported evidence suggests that forecasting has lost some of its potential in the printing and textile industries while gaining over time in the nonelectric machinery and in the metals industry. The findings can help management to make decisions regarding the allocation of resources to forecasting.

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Educational Differences in Smoking: Selection Versus Causation

Jahrbücher für Nationalökonomie und Statistik ◽

10.1515/jbnst-2019-0004 ◽

2020 ◽

Vol 240 (4) ◽

pp. 467-492 ◽

Cited By ~ 1

Author(s):

Hendrik Jürges ◽

Sophie-Charlotte Meyer

Keyword(s):

Hazard Rates ◽

Compulsory Schooling ◽

Data Set ◽

Educational Differences ◽

Health Related ◽

Education Gap ◽

Small Parts ◽

Specific Education ◽

German Data

AbstractWe investigate sources of educational differences in smoking. Using a large German data set containing retrospective information on the age at smoking onset, we compare age-specific hazard rates of starting smoking between (future) low and high educated individuals. We find that up to 90 % of the educational differences in smoking develop before the age of 16, i. e. before compulsory schooling is completed. This education gap persists into adulthood. Further, we examine the role of health-related knowledge (proxied by working in health-related occupations) and find it hardly explains smoking decisions. Our findings suggest that (unobserved) factors determining both the selection into smoking and education are almost exclusively responsible for educational differences in smoking. Only small parts of the education gap seem to be caused by general or health-specific education. The effectiveness of education policy to combat smoking is thus likely limited.

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Does Feature Reduction Help Improve the Classification Accuracy Rates? A Credit Scoring Case Using a German Data Set

Review of Business Information Systems (RBIS) ◽

10.19030/rbis.v14i2.496 ◽

2010 ◽

Vol 14 (2) ◽

Cited By ~ 3

Author(s):

Jozef Zurada

Keyword(s):

Data Mining ◽

Predictive Models ◽

Classification Accuracy ◽

Credit Scoring ◽

Feature Reduction ◽

Discovery Process ◽

Data Set ◽

Independent Features ◽

Accuracy Rates ◽

German Data

The paper broadly discusses the data reduction and data transformation issues which are important tasks in the knowledge discovery process and data mining. In general, these activities improve the performance of predictive models. In particular, the paper investigates the effect of feature reduction on classification accuracy rates. A preliminary computer simulation performed on a German data set drawn from the credit scoring context shows mixed results. The six models built on the data set with four independent features perform generally worse than the models created on the same data set with all 20 input features.

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To pun or not to pun?

Languages in Contrast ◽

10.1075/lic.11.1.04ste ◽

2011 ◽

Vol 11 (1) ◽

pp. 23-39

Author(s):

Julia Stelter

Keyword(s):

Significant Finding ◽

Contrastive Analysis ◽

Data Set ◽

Main Assumption ◽

The Creation ◽

German Data

This paper presents a contrastive analysis of puns in English and German based on a bilingual corpus of 2,400 jokes from published collections. The main assumption is that punning in the two languages differs in quantity and quality because of contrasts in morphosyntax, lexis and phonology. More precisely, given that the creation of most types of paronomastic jokes is considered to be facilitated in English, the English data set is expected to show a higher number and a greater variation of puns. However, a few manifestations of punning are assumed to occur particularly often in the German data. Seven hypotheses related to these predictions are tested. The most significant finding is that puns in the English set clearly outnumber puns in the German set.

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Rotational Characteristics of the Green Solar Corona: 1947-1991

International Astronomical Union Colloquium ◽

10.1017/s0252921100025197 ◽

1994 ◽

Vol 144 ◽

pp. 139-141 ◽

Cited By ~ 2

Author(s):

J. Rybák ◽

V. Rušin ◽

M. Rybanský

Keyword(s):

Solar Corona ◽

World Wide ◽

Rotation Period ◽

Original Data ◽

Coronal Emission ◽

Time Intervals ◽

Data Set ◽

The World ◽

Coronal Emission Line ◽

Homogeneous Data

AbstractFe XIV 530.3 nm coronal emission line observations have been used for the estimation of the green solar corona rotation. A homogeneous data set, created from measurements of the world-wide coronagraphic network, has been examined with a help of correlation analysis to reveal the averaged synodic rotation period as a function of latitude and time over the epoch from 1947 to 1991.The values of the synodic rotation period obtained for this epoch for the whole range of latitudes and a latitude band ±30° are 27.52±0.12 days and 26.95±0.21 days, resp. A differential rotation of green solar corona, with local period maxima around ±60° and minimum of the rotation period at the equator, was confirmed. No clear cyclic variation of the rotation has been found for examinated epoch but some monotonic trends for some time intervals are presented.A detailed investigation of the original data and their correlation functions has shown that an existence of sufficiently reliable tracers is not evident for the whole set of examinated data. This should be taken into account in future more precise estimations of the green corona rotation period.

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Difference Fourier Analysis of Glucose Embedded and Frozen Hydrated Purple Membrane

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100053164 ◽

1982 ◽

Vol 40 ◽

pp. 74-75

Author(s):

Jules S. Jaffe ◽

Robert M. Glaeser

Keyword(s):

Purple Membrane ◽

Data Set ◽

High Resolution Data ◽

X Ray ◽

X Ray Crystallography ◽

Fourier Techniques ◽

Versus Protein ◽

The Difference ◽

Difference Fourier ◽

Ideal Method

Although difference Fourier techniques are standard in X-ray crystallography it has only been very recently that electron crystallographers have been able to take advantage of this method. We have combined a high resolution data set for frozen glucose embedded Purple Membrane (PM) with a data set collected from PM prepared in the frozen hydrated state in order to visualize any differences in structure due to the different methods of preparation. The increased contrast between protein-ice versus protein-glucose may prove to be an advantage of the frozen hydrated technique for visualizing those parts of bacteriorhodopsin that are embedded in glucose. In addition, surface groups of the protein may be disordered in glucose and ordered in the frozen state. The sensitivity of the difference Fourier technique to small changes in structure provides an ideal method for testing this hypothesis.

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Algorithms for automated montage synthesis of images from laser-scanning confocal microscopes

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100139627 ◽

1995 ◽

Vol 53 ◽

pp. 650-651

Author(s):

D. E. Becker

Keyword(s):

Image Analysis ◽

High Resolution ◽

Laser Scanning ◽

Cell Counting ◽

Wide Area ◽

Data Set ◽

Computational Synthesis ◽

Automated Cell Counting ◽

Partial View ◽

The Individual

An efficient, robust, and widely-applicable technique is presented for computational synthesis of high-resolution, wide-area images of a specimen from a series of overlapping partial views. This technique can also be used to combine the results of various forms of image analysis, such as segmentation, automated cell counting, deblurring, and neuron tracing, to generate representations that are equivalent to processing the large wide-area image, rather than the individual partial views. This can be a first step towards quantitation of the higher-level tissue architecture. The computational approach overcomes mechanical limitations, such as hysterisis and backlash, of microscope stages. It also automates a procedure that is currently done manually. One application is the high-resolution visualization and/or quantitation of large batches of specimens that are much wider than the field of view of the microscope.The automated montage synthesis begins by computing a concise set of landmark points for each partial view. The type of landmarks used can vary greatly depending on the images of interest. In many cases, image analysis performed on each data set can provide useful landmarks. Even when no such “natural” landmarks are available, image processing can often provide useful landmarks.

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