Primary non-adherence varies by therapeutic class. Healthcare delivery systems should pursue linking medication orders with dispensings to identify primarily non-adherent patients. We encourage conduct of research to determine interventions successful at decreasing primary non-adherence, as characteristics available from databases provide little assistance in predicting primary non-adherence.

This study demonstrated the effectiveness of a computerized pharmacy alert system plus collaboration between healthcare professionals in decreasing potentially inappropriate medication dispensings in elderly patients. Coupling data available from information systems with the knowledge and skills of physicians and pharmacists can improve prescribing safety in patients aged 65 and older.

Population-based biobanks are a critical resource for genetic research. It is important to know what potential participants understand about the risks and benefits of providing samples in order to ensure adequate informed consent. Kaiser Permanente Colorado (KPCO) is currently planning a biobank where adult members would be asked to contribute an additional tube of blood during a routine blood draw. Adult KPCO members in clinic waiting rooms were asked to read an informational brochure and informed consent form. Respondents then completed a survey to evaluate their understanding of the materials, willingness to provide a blood sample to a biobank, and facilitators and barriers to participation. Two hundred three members participated in the survey, of whom 69 % indicated willingness to contribute to a biobank. Nearly all understood that they would not be paid for any products resulting from the use of their blood and would not receive results from their samples (91 and 84 %, respectively). Seventy-four percent would donate a sample because, "it is important to contribute to research," and over half the participants (56 %) said they had no concerns about contributing to a biobank. Of those with concerns, 35 % said information security was a reason. In multivariate models, older age and trust in KPCO were significant predictors of willingness to participate (p = 0.03 and p < 0.0001, respectively). Data from this survey indicate an overall willingness to participate in a biobank, provide possible barriers to participation, and identify ways to improve informational materials to ensure adequate informed consent.

Background A substantial proportion of cancer-related mortality is attributable to recurrent, not de novo metastatic disease, yet we know relatively little about these patients. To fill this gap, investigators often use administrative codes for secondary malignant neoplasm or chemotherapy to identify recurrent cases in population-based datasets. However, these algorithms have not been validated in large, contemporary, routine care cohorts. Objective To evaluate the validity of secondary malignant neoplasm and chemotherapy codes as indicators of recurrence after definitive local therapy for stage I-III lung, colorectal, breast, and prostate cancer. Research Design, Subjects & Measures We assessed the sensitivity, specificity, and positive predictive value (PPV) of these codes 14- and 60-months after diagnosis using two administrative datasets linked with gold-standard recurrence status information: CanCORS/Medicare (diagnoses 2003-2005) and HMO/Cancer Research Network (diagnoses 2000-2005). Results We identified 929 CanCORS/Medicare patients and 5298 HMO/CRN patients. Sensitivity, specificity, and PPV ranged widely depending on which codes were included and the type of cancer. For patients with lung, colorectal, and breast cancer, the combination of secondary malignant neoplasm and chemotherapy codes was the most sensitive (75%-85%); no code-set was highly sensitive and highly specific. For prostate cancer, no code-set offered even moderate sensitivity (≤19%). Conclusions Secondary malignant neoplasm and chemotherapy codes could not identify recurrent cancer without some risk of misclassification. Findings based on existing algorithms should be interpreted with caution. More work is needed to develop a valid algorithm that can be used to characterize outcomes and define patient cohorts for comparative effectiveness research studies.

The DRAP program was successful in reducing medication errors for patients with renal insufficiency in an ambulatory setting and was demonstrated to have sustainability after study completion.