Framingham ten-year general cardiovascular disease risk: agreement between BMI-based and cholesterol-based estimates in a South Asian convenience sample.

The goal of this analysis was to determine the agreement between body mass index-based and cholesterol-based ten-year Framingham general cardiovascular disease risk scores among a convenience sample of 773 South Asian Canadian adults attending community-based screening clinics. Scores were calculated using age, systolic blood pressure, antihypertensive use, current smoking, diabetes, and total cholesterol and high density lipoprotein (for cholesterol-based risk) or height and weight (for body mass index-based risk). Mean risk score differences (body mass index-based risk minus cholesterol-based risk) were estimated using paired t-tests. Bland-Altman plots were used to assess agreement between scores. Finally, agreement across risk categories (low [<10%], moderate [10% to <20%], high [> = 20%]) was examined using the kappa statistic. Average agreement between the two risk scores was quite good overall (mean differences of 0.6% for men and 0.5% for women), but increased to about 3% among participants 60-74 years of age. However, Bland-Altman plots revealed that the differences between the two scores and the variability of the differences increased with increasing average 10-year risk. In terms of clinical importance, the limits of agreement were reasonable for women < 60 years (95% confidence interval: -3.2% to 3.1%), but of concern for women 60-74 years (95% confidence interval: -6.0% to 12.3%), men < 60 years (95% confidence interval: -7.1% to 7.3%) and men 6-074 years (95% confidence interval: -13.8% to 18.8%). Agreement across categories was moderate for most sex and age groups examined (kappa values: 0.51 for women < 60 years, 0.50 for women 60-74 years, 0.65 for men < 60 years), except for men 60-74 years, where agreement was only fair (kappa = 0.26). In light of these disagreements, evaluation of a participant's change in cardiovascular disease risk over time will necessitate use of the same risk score (i.e., either body mass index-based or cholesterol-based) at all screening sessions.

What nurses want: diffusion of an innovation.

We investigated the usability of personal digital assistants (PDAs) to improve research utilization and timely access to electronic practice information to assist in clinical decisions. Nurses used a decision support tool on a PDA to collect point-of-care outcomes data. Follow-up interviews documented usability. Nurses liked the portability and size of the PDA, as well as ease of use of the PDA software. Electronic decision support tools at point of care have the potential to improve nurses' research utilization and quality of care.