Medication Therapy Management for Patients Receiving Oral Chemotherapy Agents at a Community Oncology Center: A Pilot Study.

Purpose: To determine the impact of a pharmacist-driven medication therapy management (MTM) program for patients receiving oral chemotherapy agents. Methods: We assessed the impact of MTM consultations with a pharmacist for patients who were receiving a new prescription for an oral chemotherapy agent. Data were assessed for outcomes including (1) number of medication errors identified in electronic medical records (EMRs), (2) number of interventions performed by the pharmacist, (3) time spent on the MTM process, and (4) patient satisfaction. Data were compared between patients who received their oral chemotherapy agents from the onsite specialty pharmacy or from a mail-order pharmacy. The data were also examined for correlations, and logistic regression was utilized to determine the largest variant cofactor to create an equation for estimating the number of errors in a patient's EMR. Results: Fifteen patients received an MTM consultation, and the pharmacists identified an average of 6 medication EMR errors per patient. There was an average of 3 pharmacist-led interventions per patient. Multiple significant correlations were noted between the variables: (1) total number of prescriptions a patient was taking, (2) total number of medication errors identified, (3) time spent on the MTM process, and (4) total number of interventions performed by the pharmacist. Patient satisfaction was favorable for the program. Conclusion: The implementation of a pharmacist-driven MTM program for patients receiving a prescription for an oral chemotherapy agent had a significant impact on patient care by improving medication reconciliation, identifying drug-related problems, and strengthening pharmacist-patient interactions in the oncology clinic.

A multilevel analysis of absence of transport to a hospital before premature cardiac death.

INTRODUCTION: Prompt transportation to a hospital and aggressive medical treatment can often prevent acute cardiac events from becoming fatal. Consequently, lack of transport before death may represent lost opportunities for life-saving interventions. We investigated the effect of individual characteristics (age, sex, race/ethnicity, education, and marital status) and small-area factors (population density and social cohesion) on the probability of premature cardiac decedents dying without transport to a hospital. METHODS: We analyzed death data for adults aged 25 to 69 years who resided in the Tampa, Florida, metropolitan statistical area and died from an acute cardiac event from 1998 through 2002 (N = 2,570). Geocoding of decedent addresses allowed the use of multilevel (hierarchical) logistic regression models for analysis. RESULTS: The strongest predictor of dying without transport was being unmarried (odds ratio, 2.13; 95% confidence interval, 1.79-2.52, P < .001). There was no effect of education; however, white race was modestly predictive of dying without transport. Younger decedent age was a strong predictor. Multilevel statistical modeling revealed that less than 1% of the variance in our data was found at the small-area level. CONCLUSION: Results contradicted our hypothesis that small-area characteristics would increase the probability of cardiac patients receiving transport before death. Instead we found that being unmarried, a proxy of living alone and perhaps low social support, was the most important predictor of people who died from a cardiac event dying without transport to a hospital.

Application of geographic information systems and asset mapping to facilitate identification of colorectal cancer screening resources.

OBJECTIVE: We sought to identify and map the geographic distribution of available colorectal cancer screening resources; following identification of this priority within a needs assessment of a local community-academic collaborative to reduce cancer health disparities in medically underserved communities. METHODS: We used geographic information systems (GIS) and asset mapping tools to visually depict resources in the context of geography and a population of interest. We illustrate two examples, offer step-by-step directions for mapping, and discuss the challenges, lessons learned, and future directions for research and practice. RESULTS: Our positive asset driven, community-based approach illustrated the distribution of existing colonoscopy screening facilities and locations of populations and organizations who might use these resources. A need for additional affordable and accessible colonoscopy resources was identified. CONCLUSION: These transdisciplinary community mapping efforts highlight the benefit of innovative community-academic partnerships for addressing cancer health disparities by bolstering infrastructure and community capacity-building for increased access to colonoscopies.

Social and demographic predictors of no transport prior to premature cardiac death: United States 1999-2000.

BACKGROUND: In the United States, over one-third of premature cardiac deaths occur outside of a hospital, without any transport prior to death. Transport prior to death is a strong, valid indicator of help-seeking behavior. We used national vital statistics data to examine social and demographic predictors of risk of no transport prior to cardiac death. We hypothesized that persons of lower social class, immigrants, non-metropolitan residents, racial/ethnic minorities, men, and younger decedents would be more likely to die prior to transport. METHODS: Our study population consisted of adult residents of the United States, aged 25 to 64 years, who died from heart disease during 1999-2000 (n = 242,406). We obtained transport status from the place of death variable on the death certificate. The independent effects of social and demographic predictor variables on the risk of a cardiac victim dying prior to transport vs. the risk of dying during or after transport to hospital were modeled using logistic regression. RESULTS: Results contradicted most of our a priori hypotheses. Persons of lower social class, immigrants, most non-metropolitan residents, and racial/ethnic minorities were all at lower risk of dying prior to transport. The greatest protective effect was found for racial/ethnic minority decedents compared with whites. The strongest adverse effect was found for marital status: the risk of dying with no transport was more than twice as high for those who were single (OR 2.35; 95% CI 2.29-2.40) or divorced (OR 2.29; 95% CI 2.24-2.34), compared with married decedents. Geographically, residents of the Western United States were at a 47% increased risk of dying prior to transport compared with residents of the metropolitan South. CONCLUSION: Our results suggest that marital status, a broad marker of household structure, social networks, and social support, is more important than social class or race/ethnicity as a predictor of access to emergency medical services for persons who suffer an acute cardiac event. Future research should focus on ascertaining "event histories" for all acute cardiac events that occur in a community, with the goal of identifying the residents most susceptible to cardiac fatalities prior to medical intervention and transport.