Quantitative and qualitative survey feedback of pharmacists regarding current and prospective licensure models.

BACKGROUND: Despite variation in licensure requirements and models for pharmacy practice nationwide, there is little published data within the United States regarding pharmacist perspectives. OBJECTIVES: The purpose of this study was to identify the demographics, awareness, and perceptions about current pharmacist licensure models. METHODS: A fifteen-question mixed-methods survey was created and distributed via Qualtrics-XM Survey to all Utah licensed pharmacists (n = 4154). Data collection was August 22-September 22, 2022. Before survey distribution, pilot feedback was sought from the Utah Board of Pharmacy and pharmacists at the 118th National Association of Boards of Pharmacy (NABP) national conference. Exempt status was granted by Roseman University Institutional Review Board. Quantitative and qualitative data analysis allowed for descriptive statistics and thematic content identification. RESULTS: The survey collected 972 responses for a response rate of 23% and a completion rate of 94%. Respondents self-identified 36 practice areas. Distribution of years in practice was well dispersed between the predefined ranges. Primary state of licensure was Utah (80%), with additional representation from all 50 states and Guam. The survey showed a variation in awareness regarding other healthcare professional licensing models with 40.83% "aware," 40.62% "unaware," and 18.55% "unsure". A majority showed awareness of the NABP Verify program (55.8%), but unawareness of the Electronic Licensure Transfer Program program (56.14%). Respondents agreed with increased license portability for medically underserved and rural areas (71.79%) and preference for having a law exam (56.72%). Pharmacists (n = 405) noted concerns regarding multistate renewal requirements, fees, and continuing education. CONCLUSION: This study provided baseline data on a topic that is missing in existing literature. Results illustrated a high completion rate, a diversity of demographics including well dispersed age ranges, years in practice, and qualitative responses. The quantitative data shed light on a variety of pharmacist perspectives and varied awareness about NABP licensure programs and compacts.

Beneficiary activation in the Medicare population.

OBJECTIVE: Patient activation questions from a major national Medicare survey are used to highlight characteristics of Medicare beneficiaries with low activation. We demonstrate that Medicare Current Beneficiary Survey (MCBS) data is an untapped resource for further research on patient activation within Medicare beneficiaries and programs. DATA SOURCE: Data are from the 2012 MCBS Access to Care file and include 10,650 beneficiaries. METHODS: Patient Activation levels were derived by taking the weighted average responses to the Patient Activation Supplement. Cut points for high, moderate, and low activation were assigned at +/- ½ standard deviation of the mean. Data were analyzed using SAS survey procedures. Within group comparisons were tested using chi-square tests with post hoc pairwise comparisons. Logistic regression identified predictors of low patient engagement. RESULTS: In a multiple logistic regression, beneficiary characteristics associated with low activation included Hispanic origin, being widowed or never married, select age groups, male gender, fair or poor health, difficulty with an IADL or ADLs, and having no usual source of care, with failure to complete high school as the strongest predictor (OR=2.22, p<.001). Utilization and costs were also examined in descriptive analyses. DISCUSSION: Overall, findings on the characteristics of low activation patients in the Medicare population resemble previous research. In a regression analysis, less education and no usual source of care are the strongest predictors of low activation levels in Medicare beneficiaries. The MCBS Patient Activation Supplement is a rich resource for examining patient activation in the Medicare population, and can be used for a wide range of analyses.