The Daniel K. Inouye College of Pharmacy Scripts: Improving the Accuracy of Patient Medication Lists: Performing Medication Reconciliation by Phone Prior to Appointments.

The purpose of this project was to utilize pharmacists and pharmacy students to perform comprehensive medication reconciliation by telephone prior to a patient's office visit with their primary care physician, to address any medication issues. The project's aims were to decrease polypharmacy, improve the accuracy of medication reconciliation, and to allow more time for the physician to meet with the patient. Patients were called prior to appointment and a thorough medication reconciliation was conducted including verification of current prescription medications, over-the-counter medications, and herbal supplements. A total of 21 patients were enrolled in the study, and in 36% of patients, the number of medications decreased after the intervention. However, overall, the average number of medications used by patients increased from an average of 8.9 to 9.5 medications (P = .39). All patients included in the study had at least one medication change in the electronic medical record system. Most of the changes were to add medications that were not on the medication list or to remove medications on the list that the patient was no longer taking. This study demonstrated improved accuracy with pharmacist/pharmacy student involvement in the medication reconciliation process.

Neighborhood Characteristics are Associated with Racial and Gender Variation in Walking among Older Adults: the Cardiovascular Health Study.

OBJECTIVE: To examine variation by race and gender in the association between neighborhood socioeconomic status and walking among community-dwelling older adults. DESIGN: Cross-sectional. SETTING: Cardiovascular Health Study, a longitudinal population-based cohort. PARTICIPANTS: 4,849 adults, aged > 65 years. MEASUREMENTS: Participants reported the number of city blocks walked in the prior week. Neighborhood socioeconomic status (NSES) was measured at the level of the census tract. Negative binominal regression models were constructed to test the association between NSES and blocks walked. In the fully adjusted models, we included two-way and three-way interaction terms among race, gender, and NSES. RESULTS: In adjusted analyses, among White residents in the lowest NSES quartile (most disadvantaged), men walked 64% more than women (P<.001), while in the highest NSES (most advantaged), men walked 43% more than women (P<.001). Among African American residents in the lowest NSES quartile, men walked 196% more blocks than women (P<.001). CONCLUSIONS: Female gender is more strongly associated with walking for African Americans than for Whites in low SES neighborhoods but had a similar association with walking for both African Americans and Whites in high SES neighborhoods.