SBIR/STTR Research Award

Computerized Guidelines-Managing Urinary Incontinence

Award identifier 06725cc949b759cb984bfa2668bd5c21495786b0d106e335f21c95c90ddef084Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$120,141

Program and phase

SBIR · Phase I

Award year

2001

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
WEST PORTAL SOFTWARE CORPORATION
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

A large proportion (15-35%) of women suffer from urinary incontinence (UI), which can cause or exacerbate other physical health problems and significantly reduce individuals' quality of life. Though appropriate outpatient management can reduce the morbidity and cost of UI, it remains a vastly under-diagnosed and under-treated problem in primary care settings. The need to reduce variations in practice, control health care costs, and improve patient care outcomes has spurred the development of clinical practice guidelines. These guidelines, often cumbersome and difficult to navigate, have little impact on practice and outcomes. To successfully implement guidelines, providers must be able to quickly access and analyze key information and provide patient- specific advice at the time of consultation. Innovative, point-of-care tools can help physicians effectively navigate and incorporate clinical guidelines into patient care visits. We aim to develop point-of-care decision support software to help primary care physicians implement practice guidelines for the management of urinary incontinence in women. Phase I goals include translating text-based guidelines into algorithmic statements, developing prototype of decision support software deliverable on hand held computer, and collecting and analyzing observational, survey, and interview data to evaluate the prototype's feasibility and acceptability in a sample of primary care physicians. PROPOSED COMMERCIAL APPLICATIONS: If proven effective in improving guideline compliance, the proposed decision support software would be significantly attractive to managed care organizations, individual practice associations, and insurance companies. Another potentially strong market would be medical schools, whose students and residents routinely use hand-held computers as point-of-care resources.

Technology keywords

Not reported

Agency intelligence

Department of Health and Human Services

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