Literature DB >> 3092363

Validation of a decision model for triaging hypertensive patients to alternate health education interventions.

M E Hatcher, L W Green, D M Levine, C E Flagle.   

Abstract

The ability to assign patients to the most appropriate program of intervention would improve patient outcomes and reduce health care costs. This paper evaluates specific potentials of triaging patients into various combinations of health education treatments. Blood pressure improvement among hypertensive patients was measured and the associated treatment cost and savings were compared. Triaging rules were formed empirically from the relationship between patient characteristics selected before the study was conducted and their achieved blood pressure control within each combination of interventions. Patients randomly assigned to seven combinations of three interventions were studied in contrast to patients in a randomized control group. A combination of all three interventions was the most effective program for the undifferentiated (random) patient population, achieving a 49% increase over 18 months in patients with blood pressure under control. By triaging, 51-91% increases in patients with controlled blood pressure were achieved. Educational history of the patients which is a fairly reliable measure was the most efficient triaging variable, showing a 91% increase in patients with blood pressure under control and a relative cost saving of about 400%.

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Year:  1986        PMID: 3092363     DOI: 10.1016/0277-9536(86)90235-2

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  7 in total

1.  Tutorial on technology transfer and survey design and data collection for measuring Internet and Intranet existence, usage, and impact (survey-2000) in acute care hospitals in the United States.

Authors:  M Hatcher
Journal:  J Med Syst       Date:  2001-02       Impact factor: 4.460

Review 2.  Information technology in the future of health care.

Authors:  Myron Hatcher; Irene Heetebry
Journal:  J Med Syst       Date:  2004-12       Impact factor: 4.460

3.  Decision-making with and without information technology in acute care hospitals: survey in the United States.

Authors:  M Hatcher
Journal:  J Med Syst       Date:  1998-12       Impact factor: 4.460

4.  Survey of acute care hospitals in the United States relative to technology usage and technology transfer.

Authors:  M Hatcher
Journal:  J Med Syst       Date:  1997-10       Impact factor: 4.460

Review 5.  Voting and priorities in health care decision making, portrayed through a group decision support system, using analytic hierarchy process.

Authors:  M Hatcher
Journal:  J Med Syst       Date:  1994-10       Impact factor: 4.460

6.  Web based Health Education, E-learning, for weight management.

Authors:  Irene Heetebry; Myron Hatcher; Hossein Tabriziani
Journal:  J Med Syst       Date:  2005-12       Impact factor: 4.460

7.  How physicians can improve patients' participation and maintenance in self-care.

Authors:  L W Green
Journal:  West J Med       Date:  1987-09
  7 in total

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