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Purpose: Patient-reported outcome measures (PROMs), which are generic or condition-specific, are used for a number of reasons, including clinical care, clinical trials, and in national-level efforts to monitor the quality of health care delivery. Creating PROMs that meet different purposes without overburdening patients, healthcare systems, providers, and data systems is paramount. The objective of this study was to test a generalizable method to incorporate condition-specific issues into generic PROM measures as a first step to producing PROMs that efficiently provide a standardized score. This paper outlines the method and preliminary findings focused on a PROM for osteoarthritis of the knee (OA-K).Methods: We used a mixed-methods approach and PROMIS® measures to test development of a combined generic and OA-K-specific PROM. Qualitative methods included patient focus groups and provider interviews to identify impacts of OA-K important to patients. We then conducted a thematic analysis and an item gap analysis: identified areas covered by existing generic PROMIS measures, identified "gap" areas not covered, compared gap areas to legacy instruments to verify relevance, and developed new items to address gaps. We then performed cognitive testing on new items and drafted an OA-K-specific instrument based on findings.Results: We identified 52 existing PROMIS items and developed 24 new items across 14 domains.Conclusions: We developed a process for creating condition-specific instruments that bridge gaps in existing generic measures. If successful, the methodology will create instruments that efficiently gather the patient's perspective while allowing health systems, researchers, and other interested parties to monitor and compare outcomes over time, conditions, and populations. [ABSTRACT FROM AUTHOR]

Objectives: The objective of this paper was to describe primary care prescribers' perspectives on electronic prescribing drug alerts at the point of prescribing.Design: We used a mixed-method study which included clinician surveys (web-based and paper) and focus groups with prescribers and staff.Participants: Prescribers (n = 157) working in one of 64 practices using 1 of 6 e-prescribing technologies in 6 US states completed the quantitative survey and 276 prescribers and staff participated in focus groups.Measurements: The study measures self-reported frequency of overriding of drug alerts; open-ended responses to: "What do you think of the drug alerts your software generates for you?"Results: More than 40% of prescribers indicated they override drug-drug interactions most of the time or always (range by e-prescribing system, 25% to 50%). Participants indicated that the software and the interaction alerts were beneficial to patient safety and valued seeing drug-drug interactions for medications prescribed by others. However, they noted that alerts are too sensitive and often unnecessary. Participant suggestions included: (1) run drug alerts on an active medication list and (2) allow prescribers to set the threshold for severity of alerts.Conclusions: Primary care prescribers recognize the patient safety value of drug prescribing alerts embedded within electronic prescribing software. Improvements to increase specificity and reduce alert overload are needed. [ABSTRACT FROM AUTHOR]

In 1990, the Fast Track Project was initiated to evaluate the feasibility and effectiveness of a comprehensive, multicomponent prevention program targeting children at risk for conduct disorders in four demographically diverse American communities (Conduct Problems Prevention Research Group [CPPRG], 1992). Representing a prevention science approach toward community-based preventive intervention, the Fast Track intervention design was based upon the available data base elucidating the epidemiology of risk for conduct disorder and suggesting key causal developmental influences (R. P. Weissberg & M. T. Greenberg, 1998). Critical questions about this approach to prevention center around the extent to which such a science-based program can be effective at (1) engaging community members and stakeholders, (2) maintaining intervention fidelity while responding appropriately to the local norms and needs of communities that vary widely in their demographic and cultural/ethnic composition, and (3) maintaining community engagement in the long-term to support effective and sustainable intervention dissemination. This paper discusses these issues, providing examples from the Fast Track project to illustrate the process of program implementation and the evidence available regarding the success of this science-based program at engaging communities in sustainable and effective ways as partners in prevention programming. [ABSTRACT FROM AUTHOR]