Linking general practices to the medical schools: qualitative issues.

The University Linked Practices (ULP) programme links general practices involved in undergraduate medical education with computer services provided through the school of medicine and dentistry. In-depth interviews were conducted with 26 staff involved in teaching undergraduate medical students in 15 general practices across east London and Essex. The interview schedule focused on the use of the computer, IT experience and training needs and the use of the computer network as a resource in undergraduate teaching. It is important to work with curriculum planners to ensure that computers are fully integrated into new courses.

Why? What? and How? IT provision for medical students in general practice.

OBJECTIVES: The aim of this paper is to discuss the increasing use of computers in undergraduate medical education and explore the why, what and how of providing IT facilities to undergraduate medical students when they are on placement in general practice. Adequate computing facilities are usually available within hospitals and medical schools, however, major changes are taking place in undergraduate education resulting in more teaching being undertaken in the community. Students will therefore need access to comparable facilities whilst in primary care settings in order for their training not to be compromised. SETTING: This paper describes one initiative addressing this need: the University Linked Practices (ULP) project in the Department of General Practice and Primary Care at St. Bartholomew's and the Royal London School of Medicine and Dentistry. DESIGN: We discuss the ways in which computers are currently being used in medical education and discuss some of the merits and drawbacks that are associated with this increasing drive to computerization.

Predictors of compliance with recommended cervical cancer screening schedule: a population-based study.

BACKGROUND: The prevalence of routine cervical cancer screening and compliance with screening schedules are low compared to the Year 2000 objectives. Identifying predictors of routine screening and screening schedule compliance will help achieve these objectives. METHODS: We analyzed data from probability samples of 1,609 Missouri women responding to both the 1994 Behavioral Risk Factor Surveillance System (BRFSS) and the Missouri Enhanced Survey (ES). We generated prevalence odds ratios to identify predictors of non-compliance to cervical cancer screening guidelines. Also, among a sample of women reporting a reason for last Pap test, we estimated the relative odds of a screening v. diagnostic exam. RESULTS: In the combined probability sample, compliance with screening schedule was likely among women younger than 50 years of age and women who had either a recent mammography or a clinical breast exam. Being African-American, not experiencing a cost barrier when seeking medical care, having at least a high-school education and health coverage were each associated with an increased compliance with a screening schedule in the combined probability sample. Among women in the combined probability sample, whites, those who experienced no cost barrier to seeking medical care, the non-obese, and those who had a recent mammography were each more likely to have had a screening as opposed to a diagnostic exam. DISCUSSION: Cancer control and cardiovascular (CVD) prevention programs should consider jointly targeting those at high risk for cervical cancer and CVD because of aging and associated high-risk behavior such as non-compliance with cervical cancer screening, smoking, and obesity. Also, further research is needed to examine whether the increased compliance with cervical cancer screening guidelines among African American women may be in part due to higher occurrence of diagnostic Pap smears.

Health care coverage: traditional and preventive measures and associations with chronic disease risk factors.

Physician counseling of patients on health related activities is an essential component of chronic disease prevention, however this requires patients to have ready access to health care providers. Previous studies have explored access to health care in terms of health plans and cost without accounting for the lack of preventive coverage inherent in many insurance policies. This study compares two measures of health care access, one using an assessment of cost and health plan availability, and a new coverage measure including preventive services. Data was collected from 2574 adult respondents to the 1991-92 Missouri Behavioral Risk Factor Surveillance System Surveys. Odds ratios were generated for demographic variables, health related behaviors and preventive screening and the two coverage measures. Using health plan and cost 22% lacked full coverage, however including availability of preventive coverage almost 60% lacked full coverage for preventive care. For both coverage measures significant associations were found with age, exercise, marital status, routine checkup and mammography screening. Using the measure of coverage of preventive services, rural residents and those who had never had cholesterol screening were more likely to lack coverage. Inclusion of preventive care in measures of health care coverage may alter previously reported associations with socio-demographic and health related factors. Policy makers should realize that including preventive services in health care coverage greatly increases the number of individuals lacking adequate coverage, and that those lacking adequate coverage are the least likely to undergo preventive screening.

Selected chronic disease risk factors in Missouri: 10-year trends and predictions for the year 2000.

INTRODUCTION: A study was undertaken to determine the prevalence rates of three chronic disease risk factors among adult Missourians from 1986 to 1995, to predict rates, and to compare them with national and Missouri's goals for the year 2000. METHODS: Using data from Missouri Behavioral Risk Factor Surveillance System Surveys (BRFSS) 1986-1995, prevalence rates of smoking, physical inactivity, and obesity were calculated across age, gender, race, and educational levels. Linear regression was used to predict rates for year 2000, for the adults of Missouri as a whole and for particular subgroups. RESULTS: There was a 0.9% annual decrease in smoking prevalence and a 4.6% annual increase in obesity over the 10 years, controlling for age and gender. The trend in rates of physical inactivity was nonsignificant. Continuation of these rates will give smoking rates of 23.6%, obesity rates of 35.5%, and sedentary rates of 36.3% by the year 2000. Those with less than a high school education had higher rates for each of the risk factors. CONCLUSIONS: This rate of decrease in rates of cigarette smoking is not sufficient to enable the year 2000 goal to be reached until year 2040, and the rates of obesity and sedentary lifestyle are increasing. The BRFSS, which has now been implemented in all 50 states and the District of Columbia, is a useful tool for monitoring progress towards health behavior targets.