INTERACTIVE STRESS ASSESSMENT & BEHAVIOR CHANGE SOFTWARE
Small Business Information
Essi Systems, Inc.
70 OTIS ST, 2ND FLOOR, San Francisco, CA, 94103
Name: ORIOLI, ESTHER M
Phone: () -
Phone: () -
Phone: (415) 252-8224
AbstractDESCRIPTION (adapted from applicant's abstract): Behavior patterns (work habits, coping strategies and physiological responses to stress) have been identified as major factors in premature morbidity and mortality. Of particular interest here is the role of "stress" or exposure to "stressors" recognized as playing a key role in health outcomes. But the harmful effects of these dysfunctional behavior patterns can be mitigated or even reversed if personal change is instituted. Behavior change, however, is notoriously difficult to accomplish. Even when people come to the point of deciding to change behavior, their good resolutions are often short-lived. The applicant plans to develop a software program to aid in the assessment and change of behavior patterns which can prove harmful to the individual in either the short or long term. The software package will be developed based on currently accepted theories of the causes of illness as well as empirically-grounded theoretical approaches to behavior change. The specific aims of Phase I will be: 1. Develop a prototype software package which assists the user in making change. The Phase I prototype will include: a. an assessment module with a computerized version of the Essi Systems' StressMap; b. an expert system that provides problem identification and targets behavior change; c. a behavior change guide built around the Essi Systems StressMap 21 Day Rule Action Planning workbook for guiding change around on discrete behavior at a time; d. exercises that provide intermittent reinforcement for behavior change. 2. Test the useability and the efficacy of the software package to act as a self-managed assessment and behavior change tool through an experimental design which compares those who did and did not use the Essi Systems Inc. software. $ = TOTAL AWARD AMTS & NOT LIMITED TO PORTION OF PROJECT RELATED TO SUBJECT OF SEARCH SUBPROJECT $ = TOTAL AWARD AMOUNT DIVIDED BY NUMBER OF SUBPROJECTS SOURCE: CRISP FORMAT F FY 97 LAST UPDATE 04-07-98 1QUERY 1536 ID SEARCH 06/01/98 PAGE 461 --PROJECT NUMBER......1 R43 MH54885-01A1 INVESTIGATOR NAME/ADDRESS FY 97 FREDERICK, ELIZABETH G IRG/INTRAMURAL UNIT..MHSB COMPUTER ONE INC AWARD AMOUNT......... $99,520 3401 CANDELARIA NE STE D ALBUQUERQUE, NM 87107 PERFORMING ORGANIZATION: COMPUTER ONE, INC. TITLE DIAGNOSING DEPRESSION IN PRIMARY CARE--A MULTIMEDIA TOOL ABSTRACT: DESCRIPTION (Adapted from applicant's abstract): The goal of Phase I is to demonstrate the feasibility of using interactive computer media successfully to teach primary care practitioners how to diagnose depression according to the clinical practice guidelines found in Volume 1, Detection and Diagnosis of Depression in Primary Care, issued by the Agency for Health Care Policy and Research. The sample module in Phase I will be extended to a complete interactive package to cover both diagnosis and treatment in Phase II. Specific aims are: to generate a detailed case study; refine the storyboard; create a Depression Learning Assessment tool; assemble/produce the elements; produce the sample pre- and post interactive module on CD-ROM for Macintosh; test with primary care physicians; and write a final report. About 1 in 20 Americans suffer from depression every year. While more than 5 percent of patients seeking primary care may be suffering from depression, it "is underdiagnosed and undertreated" by the very practitioners most likely to see them. In primary care settings, 50 percent of the cases of depression are missed; of patients put on medication for depression, 40 percent stop their medications in 2 weeks, and 70 percent in one month. With the costs of mood disorders estimated at $16 billion per year, appropriate treatment has both economic significance and potential life-saving value: 20 percent of depressed individuals will die by suicide and 60 percent of suicides have major depression. The initial case will be a female with symptoms of depression and anxiety who presents with somatic complaints. The software will include a Training Interview, followed by an interactive Practice Interview with a randomized Patient Database and Help reference. The applicant claims that the proposed effort represents an innovative application of multimedia technology to medical education. $ = TOTAL AWARD AMTS & NOT LIMITED TO PORTION OF PROJECT RELATED TO SUBJECT OF SEARCH SUBPROJECT $ = TOTAL AWARD AMOUNT DIVIDED BY NUMBER OF SUBPROJECTS SOURCE: CRISP FORMAT F FY 97 LAST UPDATE 04-07-98 1QUERY 1536 ID SEARCH 06/01/98 PAGE 462 --PROJECT NUMBER......1 R43 MH54955-01A2 INVESTIGATOR NAME/ADDRESS FY 97 HOLMES, TIMOTHY J IRG/INTRAMURAL UNIT..MHSB AUTOQUANT IMAGING INC AWARD AMOUNT......... $99,999 1223 PEOPLES AVE TROY, NY 12180-3536 PERFORMING ORGANIZATION: AUTOQUANT IMAGING, INC. TITLE AUTOMATED 3D TRACING AND ANALYSIS OF NEUROANATOMY ABSTRACT: The long-term objective is the development of computer software to perform rapid and fully automated tracing of neurons. This will eliminate the tedium, slowness, cost, inaccuracy and subjectivity of current manual/semiautomatic tracing methods. It will enable new capabilities, such as rapid quantitative studies over large batches of specimens, automated quantitation of structural changes in response to stimuli, quantitative connectivity analysis, accurate measurement of geometric features such as volumes, lengths and tortuosities, and automated analysis of structures such as dendritic spines. Our earlier work demonstrated successful tracing of selectively-stained rat hippocampal neurons starting from a 3D confocal image stack. The method was based on 3D segmentation and skeleton extraction, followed by the detection of branching and terminating points, and computation of a graph-theoretic topological representation of the neuron. The proposed research will extend the present method to other microscopy modalities, incorporate needed additions such as automatic soma detection and image montaging, and establish the feasibility of performing routine, unsupervised, and robust processing of large batches of complex data sets involving a variety of morphologically diverse neurons from the visual cortex, and CA1 and CA3 regions of the hippocampus.
* information listed above is at the time of submission.