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Biomedical subjects

D K Owens

Publications and source records attributed to D K Owens.

6 recordsLinked to original sources
PubMed1992

Occupational exposure to human immunodeficiency virus and hepatitis B virus: a comparative analysis of risk.

OBJECTIVE: To estimate the occupational risk from infection with the human immunodeficiency virus (HIV) in terms of loss of (quality-adjusted) life expectancy, and to compare that risk to those posed by other hazards faced by health care workers. DESIGN: Decision-analytic model. RESULTS: For a 30-year-old female health care worker (unvaccinated for hepatitis B virus [HBV]), the loss of life expectancy from a needlestick from a symptomatic HIV-positive (HIV+) patient is 39 days (range, 17 to 93 days), as compared with a loss of 17 days from a needlestick from a patient who is hepatitis-B-surface-antigen-positive (HBsAg+), and 38 days from a needlestick from a patient who is hepatitis-B-e-antigen-positive (HBeAg+). When morbidity is included in the analysis of risk (through calculation of the quality-adjusted loss of life expectancy), the risk from both HBV and HIV increases. The quality-adjusted loss of life expectancy due to a needlestick exposure from a symptomatic HIV+ patient is 45 days (range, 20 to 108 days), as compared with a quality-adjusted loss of life expectancy of 48 days from a needlestick from an HBsAg+ patient, and 109 days from a needlestick from a patient who is known to be HBeAg+. By comparison, a cross-country automobile trip is associated with a loss of life expectancy of approximately 1 day. The 45- to 50-day loss of quality-adjusted life expectancy from percutaneous exposures to HIV and HBV is approximately the same magnitude as the gain in life expectancy from 10 years of annual screening for breast cancer with mammography and physical examination. CONCLUSIONS: The risk associated with percutaneous exposures to symptomatic HIV+ patients is comparable to other risks that health care workers have faced knowingly and have accepted in the recent past. However, the loss of quality-adjusted life expectancy associated with a needlestick exposure is significant. Identification of cost-effective methods that increase the safety of medical personnel but also ensure full access to high-quality care for HIV+ patients should be a high priority.

Acquired Immunodeficiency Syndrome↗
PubMed1992

Impact of a clinical preventive medicine curriculum for primary care faculty: results of a dissemination model.

BACKGROUND: This study was designed to test a dissemination model for providing clinical preventive medicine (CPM) training to general internal medicine faculty across the United States. METHODS: The model incorporated direct instruction of a few faculty as seminar facilitators who, in turn, taught a CPM curriculum to their faculty colleagues, who then could teach it to housestaff and students. The CPM curriculum consisted of six seminars that focused primarily on the risk factors for chronic diseases and on behavior change methods for modifying smoking, diet, and exercise. RESULTS: Faculty who participated in the seminars had significant pre- to post-test increase in knowledge and reported self-efficacy to implement CPM strategies with patients, as well as changes in CPM clinical practices. These faculty, in turn, successfully disseminated CPM information to their housestaff, who also had increases in self-efficacy and changed clinical practices regarding CPM topics. CONCLUSIONS: The successful implementation of the dissemination model attests to its viability as a mechanism for disseminating CPM curricula and increasing the emphasis on CMP issues in both clinical teaching and clinical encounters with patients.

Adult↗
PubMed1992

Screening women of childbearing age for human immunodeficiency virus. A cost-benefit analysis.

In light of the increasing problem of perinatal human immunodeficiency virus (HIV) transmission, the issue of screening women for HIV is receiving considerable attention. We analyzed the costs and benefits of screening women of childbearing age for HIV. The analysis was based on a dynamic model of the HIV epidemic that incorporated disease transmission and progression, behavioral changes, and effects of screening and counseling. We found that the primary benefit of screening programs targeted to women of childbearing age lies not in the prevention of HIV infection in their newborns but in the prevention of infection in their adult contacts. Because of this benefit, screening medium- and high-risk women is likely to be cost-beneficial over a wide range of assumptions about program cost and behavioral changes in response to screening.

AIDS Serodiagnosis↗
PubMedDate not supplied

Threshold analysis using diagnostic tests with multiple results.

Clinical problems represented by decision trees can be analyzed in terms of the probability threshold model, which provides management recommendations based on the prior probability of disease, the test threshold, and the test-treatment threshold. As originally proposed, the threshold model assumes that diagnostic tests provide information about a single event that is relevant to the decision. For some problems, however, a diagnostic test may provide information about more than one such event (e.g., a computed tomography [CT] scan gives information about both mediastinal and hilar metastases in lung cancer). The authors extend the probability threshold model to cases in which a single test provides information about two events that are relevant to the decision. They derive four thresholds that determine the best strategy for any combination of test results. The approach is illustrated for the decision to use a CT scan to stage lung cancer. The analysis reveals that: 1) the range of prior probabilities for which testing is optimal increases; 2) for some prior probabilities only test results about one event are important; 3) for some prior probabilities test results about both events are important; and 4) failure to account fully for information provided by a test can lead to erroneous test and treatment recommendations.

Bayes Theorem↗