Factors influencing rates of human papillomavirus vaccination.

PURPOSE: Failure modes and effects analysis (FMEA) was used to identify ways in which community clinic practices related to suboptimal human papillomavirus (HPV) vaccination rates could be improved. METHOD: FMEA is a standardized safety method that helps determine where processes fail, the impact of failures, and needed process changes. In a quality improvement initiative conducted at an academic health center-based community clinic, a multidisciplinary team used FMEA to map HPV vaccination processes and identify areas for improvement of vaccination practices. Risk priority numbers (RPNs) were assigned to identified failure modes based on likelihood of occurrence, likelihood of detection, and ability to correct locally. Failure modes with the highest RPNs were targeted for process improvements. RESULTS: High RPN failure modes were related to clinic processes for follow-up, immunization status checks during well-child visits, and vaccination discussions during sick-child visits. New procedures included scheduling follow-up vaccinations and reminders during the initial vaccination appointment. HPV immunization rates improved following implementation of these procedures, indicating that clinic processes focused on patient follow-up can impact vaccination series completion. CONCLUSION: FMEA processes can help health systems identify workflow barriers and locally relevant opportunities for improvement. Team-based approaches to care process improvements can also benefit from standardized problem identification and solving.

Therapeutic Interferon Interchange in Relapsing Multiple Sclerosis Lowers Health Care and Pharmacy Expenditures with Comparable Safety.

INTRODUCTION: For patients with a less-active (fewer relapses or complete recovery from relapses, less radiologic burden of disease, or no or limited disease-related disability) relapsing form of multiple sclerosis (MS), interferon (IFN) beta-1b subcutaneous is similar in efficacy to IFN beta-1a intramuscular and subcutaneous. The purpose of this study was to assess the impact of patient interchange from an IFN beta-1a to IFN beta-1b. METHODS: This was a retrospective, pre-post study of adult patients with relapsing MS who underwent interchange from an IFN beta-1a to IFN beta-1b between April 15, 2014, and April 30, 2015. Health care financial and utilization outcomes between the 6 months before and after interchange were compared, and safety outcomes after interchange were assessed. RESULTS: A total of 36 primarily white, middle-age, and female patients underwent interchange. Monthly total health care and pharmacy expenditures decreased by approximately 40% and 44%, respectively, from pre-to-post interchange (p < 0.001). Health care utilization was unchanged (p < 0.05). Seven (43.8%) patients underwent interchange back to IFN beta-1a intramuscular. No patients underwent interchange back to IFN beta-1a subcutaneous. The most common adverse effect reported after interchange was injection-site reaction. CONCLUSION: Health care expenditures decreased and adverse effects were limited among patients with MS who underwent an interchange from an IFN beta-1a to IFN beta-1b. These findings suggest that a therapeutic interchange between IFNs for patients with less-active MS disease is well tolerated. Further research is needed to determine the impact of such an interchange on disease progression.

Assessment of Pharmacy Department Patient Safety Culture with the Use of Validated Work Environment Survey Indices.

CONTEXT: Patient safety culture (PSC) improvement is a strategy that can foster patient well-being. Measuring PSC without using a validated instrument has been proposed. OBJECTIVE: To assess the strengths of correlations between the Agency for Healthcare Research and Quality's validated Community Pharmacy Survey on Patient Safety Culture (CPSPSC) composites and nonvalidated People Pulse (PP) work environment indices. DESIGN: This was a cross-sectional, anonymous, voluntary survey. METHODS: This survey was conducted online in an ambulatory pharmacy department that had approximately 900 staff members within an integrated health care delivery system. All pharmacy department staff were asked to participate. CPSPSC composites and PP indices were calculated as percent-positive scores (PPS). Thirty-six correlations between PP index and CPSPSC composite PPS were assessed with the Pearson product-moment correlation coefficient. Correlation strengths were interpreted as very weak (± 0.00 to 0.19), weak (± 0.20 to 0.39), moderate (± 0.40 to 0.59), strong (± 0.60 to 0.79), and very strong (± 0.80 to 1.0). RESULTS: A total of 429 (47.4%) pharmacy staff participated. Overall, correlations between CPSPSC composites and PP indices' PPS varied widely. Although all correlations were positive and the majority of correlations were statistically significant, no correlations were identified as very strong. Ten correlations were strong, 16 were moderate, 4 were weak, and 3 were very weak. CONCLUSION: Although health care system personnel may prefer to measure PSC with a survey instrument that assesses a variety of workplace environment measures, these findings suggest that use of nonvalidated work environment indices will not provide accurate assessment of PSC in a pharmacy department.