In 1989, an expert panel appointed by the Association of Teachers of Preventive Medicine proposed minimum curricular content requirements for health promotion-disease prevention, including recommendations for timing, duration, and course sequencing during medical school. Making clinical preventive medicine an integral part of a primary care rotation is a central feature of the proposal. The panel presents recommendations for using the Guide to Clinical Preventive Services, which assesses the effectiveness of 169 types of prevention interventions, in both undergraduate and postgraduate medical education. Recommendations for incorporating the guide into the undergraduate medical school curriculum are outlined. The recommendations include options for using the guide as part of a curriculum in quantitative skills, in clinical preventive medicine, in a primary care rotation, as a health services and community dimension curriculum, and as part of continuing self-education. Recognizing that teaching methods and curriculum structures are varied in preventive medicine, the panel designed the recommendations to be adaptable to all medical schools' programs. The recommendations are aimed at achieving the goal of making preventive medicine an integral part of the education, training, and practice of physicians.
The authors examine the use of the infant's weight at birth to estimate its risk of mortality by the 28th day of life. The performance of several commonly employed statistical models is compared for the population of single births to resident South Carolina mothers in 1975-1980. A log-linear function, fitting the natural logarithm of the probability of neonatal mortality to birth weight, performs far better in this analysis than a quadratic or a logistic model or a model using the logarithm of the probability of survival. The parsimonious log-linear model also appears preferable to more complex models with additional parameters. The authors use the model in an analysis of data in two-year periods to demonstrate its value as an indicator of underlying changes in neonatal prospects and its easily interpreted parameters. The results highlight the importance of changes in neonatal mortality affecting low birth weight infants, which produce a noticeable shift in the range in which low birth weight is associated with the risk of mortality. These have proven more important in accounting for the decline in mortality rates than have changes affecting only neonates with more typical birth weights in South Carolina in 1975-1980.
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