Overview of the National Health Educator Competencies Update Project, 1998-2004

2005 ◽  
Vol 32 (6) ◽  
pp. 725-737 ◽  
Author(s):  
Gary David Gilmore ◽  
Larry K. Olsen ◽  
Alyson Taub ◽  
David Connell
Keyword(s):  
National Health ◽  
District Of Columbia ◽  
Professional Preparation ◽  
Health Educators ◽  
Data Set ◽  
Health Educator ◽  
Advanced Level ◽  
Entry Level ◽  
Data Points ◽  
Definition Of

The National Health Educator Competencies Update Project (CUP), conducted during 1998-2004, addressed what health educators currently do in practice, the degree to which the role definition of the entry-level health educator is still up-to-date, and the validation of advanced-level competencies. A 19-page questionnaire was sent to a representative sample of health educators in recognized practice settings in all states and the District of Columbia. A total of 4,030 health educators participated in the research (70.6% adjusted response rate) resulting in the largest national data set of its kind, with 1.6 million data points. The model derived from the research was hierarchical (7 areas of responsibility, 35 competencies, and 163 subcompetencies), with three levels of practice (Entry, Advanced 1, and Advanced 2) differentiated by degrees earned and years of experience. The findings affect professional preparation, credentialing, and professional development.

scholarly journals Applying the National Health Educator Competencies Update Project Model to Health Education

2007 ◽  
Vol 5 (2) ◽  
pp. 103-111 ◽  
Author(s):  
Gary D. Gilmore ◽  
Larry K. Olsen ◽  
Alyson Taub
Keyword(s):  
Professional Practice ◽  
National Health ◽  
Hierarchical Model ◽  
Professional Preparation ◽  
Future Research ◽  
Health Educators ◽  
Practice Model ◽  
Health Educator ◽  
Work Settings ◽  
Project Model

A brief overview of the six-year National Health Educator Competencies Update Project (CUP) research is provided as an introduction to a discussion of applications of the resulting CUP Hierarchical Model. Considerations for application of the model to the professional preparation, credentialing and professional development of health educators are explored. In addition, examples of the applicability of the CUP Hierarchical Model to three different work settings are presented at the Entry, Advanced 1, and Advanced 2 levels of professional practice. The benefits of being guided by a validated practice model are discussed with implications for future research endeavors.

What Is Neglect? State Legal Definitions in the United States

2018 ◽  
Vol 23 (3) ◽  
pp. 303-315 ◽  
Author(s):  
Rebecca Rebbe
Keyword(s):  
United States ◽  
Cluster Analysis ◽  
Child Maltreatment ◽  
District Of Columbia ◽  
The United States ◽  
Policy Implications ◽  
Data Set ◽  
Standard Definition ◽  
Welfare Systems ◽  
Definition Of

Neglect is the most common form of reported child maltreatment in the United States with 75.3% of confirmed child maltreatment victims in 2015 neglected. Despite constituting the majority of reported child maltreatment cases and victims, neglect still lacks a standard definition. In the United States, congruent with the pervasiveness of law in child welfare systems, every state and the District of Columbia has its own statutory definition of neglect. This study used content analysis to compare state legal statutory definitions with the Fourth National Incidence Survey (NIS-4) operationalization of neglect. The resulting data set was then analyzed using cluster analysis, resulting in the identification of three distinct groups of states based on how they define neglect: minimal, cornerstones, and expanded. The states’ definitions incorporate few of the NIS-4 components. Practice and policy implications of these constructions of neglect definitions are discussed.

Use and Impact of the Competencies for Entry-Level Health Educators on Professional Preparation Programs

1999 ◽  
Vol 30 (4) ◽  
pp. 209-216 ◽  
Author(s):  
Lisa W. Schwartz ◽  
Thomas W. O'rourke ◽  
James M. Eddy ◽  
Elaine Auld ◽  
Becky Smith
Keyword(s):  
Professional Preparation ◽  
Health Educators ◽  
Preparation Programs ◽  
Entry Level

The K-Exemplars Clustering Method

2013 ◽  
Vol 376 ◽  
pp. 224-230
Author(s):  
Hsiou Hen Kao ◽  
Li Ching Huang ◽  
Miin Jye Wen ◽  
Kuo Lung Wu
Keyword(s):  
Objective Function ◽  
Relational Data ◽  
Clustering Method ◽  
Data Set ◽  
Dissimilarity Measures ◽  
Data Points ◽  
Definition Of

In order to apply the concepts of k-means to deal with any specified dissimilarity measures, we propose a k-exemplars clustering method that modifies k-means by restricting the cluster centers on data points. The proposed method not only has similar clustering accuracy as k-means but also faster convergence. According to the definition of the objective function of k-exemplars, the proposed method can be used to deal with a relational data set, and the cluster centers (exemplars) of each cluster will also be extracted. Hence, the k-exemplars can work in an environment with specified dissimilarity measures.

Health Educator Perspectives on Seeking Medicaid Reimbursement in Indiana

2019 ◽  
Vol 22 (1) ◽  
pp. 132-140
Author(s):  
Lisa Yazel-Smith ◽  
Heidi L. Hancher-Rauch ◽  
Angelitta Britt-Spells
Keyword(s):  
Health Education ◽  
Health Services ◽  
Health Educators ◽  
Cross Sectional ◽  
Data Set ◽  
Health Educator ◽  
Web Based ◽  
Medicaid Reimbursement ◽  
Preventative Health ◽  
Final Data

Health education is a growing field. However, there is confusion about the role delineation of health education specialists (HES) and other health education (HE) providers. Additionally, recent reimbursement opportunities allow employers to bill for HE services but offer confusing language regarding eligible service-providing professionals. This study surveyed health educators in Indiana to assess knowledge, attitudes, and perceived abilities to bill Medicaid and other insurers for HE services. Using a cross-sectional research design, an original 22-item Web-based questionnaire was developed and distributed to all Certified Health Education Specialist/Master Certified Health Education Specialist (CHES/MCHES) practitioners residing in Indiana. Additional respondents were recruited using a snowball technique, as original respondents asked to share the survey with colleagues. A final data set of 61 respondents was analyzed. All respondents’ organizations provided HE services, with the majority indicating they do not charge and do not bill for HE services. Additionally, 60% of the respondents agreed that HES should be reimbursed for services, and the vast majority believed reimbursement to be important for the field. With recent reimbursement opportunities for HE and preventative health services, it is important that HES advocate for the profession and for potential reimbursement opportunities, such as Medicaid, to enhance the field and support HES jobs.

Developing a K-CDA Implementation Guide for Applying Health Information Exchange Service in South Korea (Preprint)

2020 ◽  
Author(s):  
Sung Won Jung ◽  
Sungchul Bae ◽  
Donghyeong Seong ◽  
Byoung-Kee Yi
Keyword(s):  
Information Exchange ◽  
Health Information Exchange ◽  
Expert Committee ◽  
Healthcare Information ◽  
Entry Level ◽  
Template Library ◽  
Value Sets ◽  
Definition Of ◽  
Document Level ◽  
Section Level

BACKGROUND Through several years of the healthcare information exchange based on the HIE project, some problems were found in the CDA documents generated. OBJECTIVE To fix some problems, we developed the K-CDA Implementation Guide (K means S. Korea) that conforms to the HL7 CDA, and suits the domestic conditions regarding the healthcare information. METHODS We achieved by analyzing HIE guideline and the U.S. C-CDA, and comparing each item. The items that required further discussion were reviewed by the expert committee. Based on the reviews, the previously developed templates were revised. RESULTS A total of 35 CDA templates were developed: five document-level templates, fourteen section-level templates, and sixteen entry-level templates. The 28 value sets used in the templates have been improved and the OIDs for HIE have been redefined CONCLUSIONS The K-CDA IG allows management in the form of a template library based on the definition of the General K-Header and the structured templates. This enables the K-CDA IG to respond to the expansion of national HIE templates with flexibility. For the K-CDA IG, the CDA template in current use was incorporated to the greatest extent possible, to minimize the scope of modifications. It enables the national HIE and the HIE with countries abroad.

scholarly journals Has the Credibility of the Social Sciences Been Credibly Destroyed? Reanalyzing the “Many Analysts, One Data Set” Project

2021 ◽  
Vol 7 ◽  
pp. 237802312110244
Author(s):  
Katrin Auspurg ◽  
Josef Brüderl
Keyword(s):  
Social Sciences ◽  
Causal Reasoning ◽  
Research Question ◽  
Social Science Research ◽  
Science Research ◽  
Skin Tone ◽  
Data Set ◽  
The Social ◽  
The Many ◽  
Definition Of

In 2018, Silberzahn, Uhlmann, Nosek, and colleagues published an article in which 29 teams analyzed the same research question with the same data: Are soccer referees more likely to give red cards to players with dark skin tone than light skin tone? The results obtained by the teams differed extensively. Many concluded from this widely noted exercise that the social sciences are not rigorous enough to provide definitive answers. In this article, we investigate why results diverged so much. We argue that the main reason was an unclear research question: Teams differed in their interpretation of the research question and therefore used diverse research designs and model specifications. We show by reanalyzing the data that with a clear research question, a precise definition of the parameter of interest, and theory-guided causal reasoning, results vary only within a narrow range. The broad conclusion of our reanalysis is that social science research needs to be more precise in its “estimands” to become credible.

Measuring Congestion and Reliability Impacts of Safety Projects

2021 ◽  
pp. 036119812110067
Author(s):  
Simona Babiceanu ◽  
Sanhita Lahiri ◽  
Mena Lockwood
Keyword(s):  
Performance Measures ◽  
Positive Impact ◽  
Operating Conditions ◽  
Vehicle Miles Traveled ◽  
Data Set ◽  
Data Points ◽  
Practical Recommendations

This study uses a suite of performance measures that was developed by taking into consideration various aspects of congestion and reliability, to assess impacts of safety projects on congestion. Safety projects are necessary to help move Virginia’s roadways toward safer operation, but can contribute to congestion and unreliability during execution, and can affect operations after execution. However, safety projects are assessed primarily for safety improvements, not for congestion. This study identifies an appropriate suite of measures, and quantifies and compares the congestion and reliability impacts of safety projects on roadways for the periods before, during, and after project execution. The paper presents the performance measures, examines their sensitivity based on operating conditions, defines thresholds for congestion and reliability, and demonstrates the measures using a set of Virginia safety projects. The data set consists of 10 projects totalling 92 mi and more than 1M data points. The study found that, overall, safety projects tended to have a positive impact on congestion and reliability after completion, and the congestion variability measures were sensitive to the threshold of reliability. The study concludes with practical recommendations for primary measures that may be used to measure overall impacts of safety projects: percent vehicle miles traveled (VMT) reliable with a customized threshold for Virginia; percent VMT delayed; and time to travel 10 mi. However, caution should be used when applying the results directly to other situations, because of the limited number of projects used in the study.

scholarly journals The Study of Multiple Classes Boosting Classification Method Based on Local Similarity

Algorithms ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 37
Author(s):  
Shixun Wang ◽  
Qiang Chen
Keyword(s):  
Image Retrieval ◽  
Loss Function ◽  
Single Mode ◽  
Local Similarity ◽  
Text And Image ◽  
Data Set ◽  
Standard Data ◽  
Weak Learner ◽  
Great Progress ◽  
Data Points

Boosting of the ensemble learning model has made great progress, but most of the methods are Boosting the single mode. For this reason, based on the simple multiclass enhancement framework that uses local similarity as a weak learner, it is extended to multimodal multiclass enhancement Boosting. First, based on the local similarity as a weak learner, the loss function is used to find the basic loss, and the logarithmic data points are binarized. Then, we find the optimal local similarity and find the corresponding loss. Compared with the basic loss, the smaller one is the best so far. Second, the local similarity of the two points is calculated, and then the loss is calculated by the local similarity of the two points. Finally, the text and image are retrieved from each other, and the correct rate of text and image retrieval is obtained, respectively. The experimental results show that the multimodal multi-class enhancement framework with local similarity as the weak learner is evaluated on the standard data set and compared with other most advanced methods, showing the experience proficiency of this method.

Sign in / Sign up

Export Citation Format

Share Document