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Bryant T Karras

Publications and source records attributed to Bryant T Karras.

9 recordsLinked to original sources
PubMed2006

Electronic Self-report Assessment--Cancer (ESRA-C): Working towards an integrated survey system.

The Clinical Informatics Research Group and Biobehavioral Nursing and Health Systems at the University of Washington are working with interdisciplinary teams to improve patient care and tracking of patient-reported symptoms and outcomes by creating an extensible web-based survey and intervention platform. The findings and cumulative experience from these processes have led to incremental improvements and variations in each new implementation of the platform. This paper presents progress in the first year of a three-year NIH study entitled Electronic Self Report Assessment--Cancer (ESRA-C). The project's goals are to enhance and evaluate the web-based computerized patient self-reporting and assessment system at the Seattle Cancer Care Alliance. Preliminary work and lessons learned in the modification of the platform and enhancements to the system will be described.

Automation↗
PubMed2005

Mobile eHealth interventions for obesity: a timely opportunity to leverage convergence trends.

Obesity is often cited as the most prevalent chronic health condition and highest priority public health problem in the United States. There is a limited but growing body of evidence suggesting that mobile eHealth behavioral interventions, if properly designed, may be effective in promoting and sustaining successful weight loss and weight maintenance behavior changes. This paper reviews the current literature on the successes and failures of public health, provider-administered, and self-managed behavioral health interventions for weight loss. The prevailing theories of health behavior change are discussed from the perspective of how this knowledge can serve as an evidence base to inform the design of mobile eHealth weight loss interventions. Tailored informational interventions, which, in recent years, have proven to be the most effective form of conventional health behavior intervention for weight loss, are discussed. Lessons learned from the success of conventional tailored informational interventions and the early successes of desktop computer-assisted self-help weight management interventions are presented, as are design principles suggested by Social Cognitive Theory and the Social Marketing Model. Relevant computing and communications technology convergence trends are also discussed. The recent trends in rapid advancement, convergence, and public adoption of Web-enabled cellular telephone and wireless personal digital assistant (PDA) devices provide timely opportunities to deliver the mass customization capabilities, reach, and interactivity required for the development, administration, and adoption of effective population-level eHealth tailored informational interventions for obesity.

Attitude to Health↗
PubMed2005

Design and implementation of Cell-PREVEN: a real-time surveillance system for adverse events using cell phones in Peru.

With more clinical trials involving evaluations of new drugs or vaccines, monitoring for early detection of adverse events is essential. The overall goal of this study was to develop an interactive-computer system using cell phones for real-time collection and transmission of adverse events related to metronidazole administration among female sex workers (FSW) in Peru. We developed an application for cell phones in Spanish, called Cell-PREVEN, based on a system from Voxiva Inc. We used cell phones to enter data collected by interviewers from FSW in three communities. Information was stored in an online database, where it could be immediately accessed worldwide and exported over a secure Internet connection. E-mail and text messages sent to mobile devices alerted key personnel to selected symptoms. This pilot project has demonstrated that it is feasible to develop a public-health-surveillance system based on cell phones to collect data in real-time in Peru (http://www.prevenperu.org).

Anti-Infective Agents↗
PubMed2004

Computerized symptom and quality-of-life assessment for patients with cancer part I: development and pilot testing.

PURPOSE/OBJECTIVES: To develop and test an innovative computerized symptom and quality-of-life (QOL) assessment for patients with cancer who are evaluated for and treated with radiation therapy. DESIGN: Descriptive, longitudinal prototype development and cross-sectional clinical data. SETTING: Department of radiation oncology in an urban, academic medical center. SAMPLE: 101 outpatients who were evaluated for radiation therapy, able to communicate in English (or through one of many interpreters available at the University of Washington), and competent to understand the study information and give informed consent. Six clinicians caring for the patients in the sample were enrolled. METHODS: Iterative prototype development was conducted using a standing focus group of clinicians. The software was developed based on survey markup language and implemented in a wireless, Web-based format. Patient participants completed the computerized assessment prior to consultation with the radiation physician. Graphical output pages with flagged areas of symptom distress or troublesome QOL issues were made available to consulting physicians and nurses. MAIN RESEARCH VARIABLES: Pain intensity, symptoms, QOL, and demographics. INSTRUMENTS: Computerized versions of a 0 to 10 Pain Intensity Numerical Scale (PINS), Symptom Distress Scale, and Short Form-8. FINDINGS: Focus group recommendations included clinician priorities of brevity, flexibility, and simplicity for both input interface and output and that the assessment output contain color graphic display. Patient participants included 45 women and 56 men with a mean age of 52.7 years (SD = 13.8). Fewer than half of the participants (40%) reported using a computer on a regular basis (weekly or daily). Completion time averaged 7.8 minutes (SD = 3.7). Moderate to high levels of distress were reported more often for fatigue, pain, and emotional issues than for other symptoms or concerns. CONCLUSIONS: Computerized assessment of cancer symptoms and QOL is technically possible and feasible in an ambulatory cancer clinic. A wireless, Web-based system facilitates access to results and data entry and retrieval. The symptom and QOL profiles of these patients new to radiation therapy were comparable to other samples of outpatients with cancer. IMPLICATIONS FOR NURSING: The ability to capture an easily interpreted illustration of a patients symptom and QOL experience in less than 10 minutes is a potentially useful adjunct to traditional face-to-face interviewing. Ultimately, electronic patient-generated data could produce automated red flags directed to the most appropriate clinicians (e.g., nurse, pain specialist, social worker, nutritionist) for further evaluation. Such system enhancement could greatly facilitate oncology nurses coordination role in caring for complex patients with cancer.

Academic Medical Centers↗
PubMed2004

Collection and integration of clinical data for surveillance.

OBJECTIVE: The syndromic surveillance project at Public Health-Seattle & King County incorporates several data sources, including emergency department and primary care visit data collected and normalized through an automated mechanism. We describe significant changes made in this "second generation" of our system to improve data quality while complying with privacy and state public health reporting regulations. METHODS/RESULTS: The system uses de-identified visit and patient numbers to assure data accuracy, while shielding patient identity. Presently, we have 124,000 basic visit records (used to generate stratified denominators), and 29,000 surveillance records, from four emergency departments and a primary care clinic network. The system is capable of producing syndrome-clustered data sets for analysis. DISCUSSION: We have incorporated data collection techniques such as automated querying, report parsing, and HL7 electronic data interchange. We are expanding the system to include greater population coverage, and developing an understanding how to implement data collections more rapidly at individual hospital sites, as well as how best to prepare the data for analysis.

Bioterrorism↗
PubMed2003

Syndromic surveillance using automated collection of computerized discharge diagnoses.

The Syndromic Surveillance Information Collection (SSIC) system aims to facilitate early detection of bioterrorism attacks (with such agents as anthrax, brucellosis, plague, Q fever, tularemia, smallpox, viral encephalitides, hemorrhagic fever, botulism toxins, staphylococcal enterotoxin B, etc.) and early detection of naturally occurring disease outbreaks, including large foodborne disease outbreaks, emerging infections, and pandemic influenza. This is accomplished using automated data collection of visit-level discharge diagnoses from heterogeneous clinical information systems, integrating those data into a common XML (Extensible Markup Language) form, and monitoring the results to detect unusual patterns of illness in the population. The system, operational since January 2001, collects, integrates, and displays data from three emergency department and urgent care (ED/UC) departments and nine primary care clinics by automatically mining data from the information systems of those facilities. With continued development, this system will constitute the foundation of a population-based surveillance system that will facilitate targeted investigation of clinical syndromes under surveillance and allow early detection of unusual clusters of illness compatible with bioterrorism or disease outbreaks.

Bioterrorism↗
PubMed2003

A proposed ontology for online healthcare surveys.

This paper results from the research efforts of the Clinical Informatics Research Group in building a generalized system for online survey implementation. Key to the success of any generalized survey system is a standard ontology for the differing components of any survey, particularly those sought to be implemented online, over the World Wide Web. In this paper, we introduce the need for generalized survey authoring tools, discuss our methods for elucidating the different components present in many healthcare instruments and classifying them as per existing standards, and later present our proposed ontology for online surveys in the healthcare domain. This is followed by a more detailed description of the different question types mentioned in this ontology. Finally, we compare some general purpose authoring systems currently available to determine their flexibility in representing these disparate question types (www.cirg.washington.edu/SuML).

Chronic Disease↗
PubMed2003

Diagnoses, syndromes, and diseases: a knowledge representation problem.

Despite their widespread use, the terms "syndrome", "disease" and "diagnosis" are sometimes utilized improperly and ambiguously, compounding the complexities of medical knowledge representation. The definitions and illustrative examples provided here will be useful for developers of diagnostic expert systems. Description of the Problem Representing medical knowledge is a highly complex endeavor. The improper use of the terms "syndrome", "disease" and their relations to "diagnosis" is one of the difficulties with which medical informaticians must deal, especially when developing expert systems to support diagnoses. Although ubiquitous in medical and lay discourse, the term "disease" has no unambiguous, generally accepted definition. How-ever, most of those using this term allow themselves the comfortable delusion that everyone knows what it means. Only sparse and fragmented literature could be found regarding this issue.

Diagnosis↗