Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Kenneth S. Yew is active.

Publication


Featured researches published by Kenneth S. Yew.


American Journal of Preventive Medicine | 2010

A Systematic Process to Prioritize Prevention Activities: Sustaining Progress Toward the Reduction of Military Injuries

Michelle Canham-Chervak; Tomoko I. Hooper; Fred H. Brennan; Stephen C. Craig; Deborah C. Girasek; Richard A. Schaefer; Galen Barbour; Kenneth S. Yew; Bruce H. Jones

BACKGROUND To sustain progress toward injury reduction and other health promotion goals, public health organizations need a systematic approach based on data and an evaluation of existing scientific evidence on prevention. This paper describes a process and criteria developed to systematically and objectively define prevention program and policy priorities. METHODS Military medical surveillance data were obtained and summarized, and a working group of epidemiology and injury experts was formed. After reviewing the available data, the working group used predefined criteria to score leading military unintentional injury causes on five main criteria that assessed factors contributing to program and policy success: (1) importance of the problem, (2) effectiveness of existing prevention strategies, (3) feasibility of establishing programs and policies, (4) timeliness of implementation and results, and (5) potential for evaluation. Injury problems were ranked by total median score. RESULTS Causes with the highest total median scores were physical training (34 points), military parachuting (32 points), privately-owned vehicle crashes (31 points), sports (29 points), falls (27 points), and military vehicle crashes (27 points). CONCLUSIONS Using a data-driven, criteria-based process, three injury causes (physical training, military parachuting, and privately owned-vehicle crashes) with the greatest potential for successful program and policy implementation were identified. Such information is useful for public health practitioners and policymakers who must prioritize among health problems that are competing for limited resources. The process and criteria could be adapted to systematically assess and prioritize health issues affecting other communities.


International Journal of Medical Informatics | 2010

Updating clinical knowledge: an evaluation of current information alerting services.

Scott M. Strayer; Allen F. Shaughnessy; Kenneth S. Yew; Mark B. Stephens; David C. Slawson

PURPOSE Clinicians are overwhelmed by the sheer magnitude of new clinical information that is available on a daily basis. Despite the availability of information tools for finding this information and for updating clinical knowledge, no study has examined the quality of current information alerting services. METHODS We developed a 7-item checklist based on the principles of evidence-based medicine and assessed content validity with experts and face validity with practicing clinicians and clinician researchers. A list of clinical information updating tools (push tools) was generated in a systematic fashion and the checklist was used to rate the quality of these tools by two independent raters. Prior to rating all instruments, the raters were trained to achieve good agreement (>80%) by applying the checklist to two sets of three randomly selected tools. Descriptive statistics were used to describe the quality of the identified tools and inter-rater reliability was assessed using Intraclass Correlation (ICC). RESULTS Eighteen tools were identified using our systematic search. The average quality of these tools was 2.72 (range 0-7). Only two tools met all suggested criteria for quality. Inter-rater reliability for the 7-item checklist was .82 (ICC). CONCLUSIONS We developed a checklist that can be used to reliably assess the quality of clinical information updating tools. We found many shortcomings in currently available clinical knowledge updating tools. Ideally, these tools will evolve in the direction of applying basic evidence-based medicine principles to new medical information in order to increase their usefulness to clinicians.


Medical Reference Services Quarterly | 2010

Institutional support for handheld computing: clinical and educational lessons learned.

Mark B. Stephens; Donna M. Waechter; Pamela M. Williams; Alan L. Williams; Kenneth S. Yew; Scott M. Strayer

Handheld computing devices, or personal digital assistants (PDAs), are used often in the health care setting. They provide a convenient way to store and carry either personal or reference information and can be used to accomplish other tasks associated with patient care. This article reports clinical and educational lessons learned from a longitudinal institutional initiative designed to provide medical students with PDAs to facilitate patient care and assist with clinical learning.


American Journal of Preventive Medicine | 2010

A Systematic Process to Prioritize Prevention Activities

Michelle Canham-Chervak; Tomoko I. Hooper; Fred H. Brennan; Stephen C. Craig; Deborah C. Girasek; Richard A. Schaefer; Galen Barbour; Kenneth S. Yew; Bruce H. Jones

BACKGROUND To sustain progress toward injury reduction and other health promotion goals, public health organizations need a systematic approach based on data and an evaluation of existing scientific evidence on prevention. This paper describes a process and criteria developed to systematically and objectively define prevention program and policy priorities. METHODS Military medical surveillance data were obtained and summarized, and a working group of epidemiology and injury experts was formed. After reviewing the available data, the working group used predefined criteria to score leading military unintentional injury causes on five main criteria that assessed factors contributing to program and policy success: (1) importance of the problem, (2) effectiveness of existing prevention strategies, (3) feasibility of establishing programs and policies, (4) timeliness of implementation and results, and (5) potential for evaluation. Injury problems were ranked by total median score. RESULTS Causes with the highest total median scores were physical training (34 points), military parachuting (32 points), privately-owned vehicle crashes (31 points), sports (29 points), falls (27 points), and military vehicle crashes (27 points). CONCLUSIONS Using a data-driven, criteria-based process, three injury causes (physical training, military parachuting, and privately owned-vehicle crashes) with the greatest potential for successful program and policy implementation were identified. Such information is useful for public health practitioners and policymakers who must prioritize among health problems that are competing for limited resources. The process and criteria could be adapted to systematically assess and prioritize health issues affecting other communities.


American Journal of Preventive Medicine | 2010

Applications of evidence-based approaches to injury prevention prioritizationA Systematic Process to Prioritize Prevention Activities: Sustaining Progress Toward the Reduction of Military Injuries

Michelle Canham-Chervak; Tomoko I. Hooper; Fred H. Brennan; Stephen C. Craig; Deborah C. Girasek; Richard A. Schaefer; Galen Barbour; Kenneth S. Yew; Bruce H. Jones

BACKGROUND To sustain progress toward injury reduction and other health promotion goals, public health organizations need a systematic approach based on data and an evaluation of existing scientific evidence on prevention. This paper describes a process and criteria developed to systematically and objectively define prevention program and policy priorities. METHODS Military medical surveillance data were obtained and summarized, and a working group of epidemiology and injury experts was formed. After reviewing the available data, the working group used predefined criteria to score leading military unintentional injury causes on five main criteria that assessed factors contributing to program and policy success: (1) importance of the problem, (2) effectiveness of existing prevention strategies, (3) feasibility of establishing programs and policies, (4) timeliness of implementation and results, and (5) potential for evaluation. Injury problems were ranked by total median score. RESULTS Causes with the highest total median scores were physical training (34 points), military parachuting (32 points), privately-owned vehicle crashes (31 points), sports (29 points), falls (27 points), and military vehicle crashes (27 points). CONCLUSIONS Using a data-driven, criteria-based process, three injury causes (physical training, military parachuting, and privately owned-vehicle crashes) with the greatest potential for successful program and policy implementation were identified. Such information is useful for public health practitioners and policymakers who must prioritize among health problems that are competing for limited resources. The process and criteria could be adapted to systematically assess and prioritize health issues affecting other communities.


American Family Physician | 2009

Acute Stroke Diagnosis

Kenneth S. Yew; Eric M. Cheng


American Family Physician | 2008

Diagnosis of Chronic Obstructive Pulmonary Disease

Mark B. Stephens; Kenneth S. Yew


Family Medicine | 2008

Teaching evidence-based medicine skills: An exploratory study of residency graduates' practice habits

Kenneth S. Yew; Alfred Reid


American Family Physician | 2015

Diagnosis of acute stroke.

Kenneth S. Yew; Eric M. Cheng


Family Medicine | 2008

Learning PDA Skills Online Is Feasible and Acceptable to Clerkship Students

Strayer Sm; Pamela M. Williams; Mark B. Stephens; Kenneth S. Yew

Collaboration


Dive into the Kenneth S. Yew's collaboration.

Top Co-Authors

Avatar

Mark B. Stephens

Uniformed Services University of the Health Sciences

View shared research outputs
Top Co-Authors

Avatar

Bruce H. Jones

Centers for Disease Control and Prevention

View shared research outputs
Top Co-Authors

Avatar

Deborah C. Girasek

Uniformed Services University of the Health Sciences

View shared research outputs
Top Co-Authors

Avatar

Galen Barbour

Uniformed Services University of the Health Sciences

View shared research outputs
Top Co-Authors

Avatar

Richard A. Schaefer

Uniformed Services University of the Health Sciences

View shared research outputs
Top Co-Authors

Avatar

Stephen C. Craig

Uniformed Services University of the Health Sciences

View shared research outputs
Top Co-Authors

Avatar

Tomoko I. Hooper

Uniformed Services University of the Health Sciences

View shared research outputs
Top Co-Authors

Avatar

Eric M. Cheng

University of California

View shared research outputs
Top Co-Authors

Avatar

Pamela M. Williams

Uniformed Services University of the Health Sciences

View shared research outputs
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge