UPMC Prescription for Wellness: A Quality Improvement Case Study for Supporting Patient Engagement and Health Behavior Change.

Addressing patient health and care behaviors that underlie much of chronic disease continues to challenge providers, medical practices, health systems, and insurers. Improving health and care as described by the Quadruple Aim requires innovation at the front lines of clinical care: the doctor-patient interaction and office practice. This article describes the use of Lean Six Sigma in a quality improvement (QI) effort to design an effective and scalable method for physicians to prescribe health coaching for healthy behaviors in a primary care medical home within a large integrated delivery and financing system. Building on the national Agency for Healthcare Research and Quality and Robert Wood Johnson Foundation-funded Prescription for Health multisite demonstration, this QI case study provides important lessons for transforming patient-physician-practice support systems to better address lifestyle and care management challenges critical to producing better outcomes.

The Science of Quality Improvement.

Scientific rigor should be consistently applied to quality improvement (QI) research to ensure that healthcare interventions improve quality and patient safety before widespread implementation. This article provides an overview of the various study designs that can be used for QI research depending on the stage of investigation, scope of the QI intervention, constraints on the researchers and intervention being studied, and evidence needed to support widespread implementation. The most commonly used designs in QI studies are quasi-experimental designs. Randomized controlled trials and cluster randomized trials are typically reserved for large-scale research projects evaluating the effectiveness of QI interventions that may be implemented broadly, have more than a minimal impact on patients, or are costly. Systematic reviews of QI studies will play an important role in providing overviews of evidence supporting particular QI interventions or methods of achieving change. We also review the general requirements for developing quality measures for reimbursement, public reporting, and pay-for-performance initiatives. A critical part of the testing process for quality measures includes assessment of feasibility, reliability, validity, and unintended consequences. Finally, publication and critical appraisal of QI work is discussed as an essential component to generating evidence supporting QI initiatives in radiology.

Radiology Research in Quality and Safety: Current Trends and Future Needs.

Promoting quality and safety research is now essential for radiology as reimbursement is increasingly tied to measures of quality, patient safety, efficiency, and appropriateness of imaging. This article provides an overview of key features necessary to promote successful quality improvement efforts in radiology. Emphasis is given to current trends and future opportunities for directing research. Establishing and maintaining a culture of safety is paramount to organizations wishing to improve patient care. The correct culture must be in place to support quality initiatives and create accountability for patient care. Focused educational curricula are necessary to teach quality and safety-related skills and behaviors to trainees, staff members, and physicians. The increasingly complex healthcare landscape requires that organizations build effective data infrastructures to support quality and safety research. Incident reporting systems designed specifically for medical imaging will benefit quality improvement initiatives by identifying and learning from system errors, enhancing knowledge about safety, and creating safer systems through the implementation of standardized practices and standards. Finally, validated performance measures must be developed to accurately reflect the value of the care we provide for our patients and referring providers. Common metrics used in radiology are reviewed with focus on current and future opportunities for investigation.

Creating an outpatient center of excellence in CT.

CT examinations represent a substantial portion of the workload for many radiology departments, and optimizing service delivery is a critical function to ensure customer satisfaction. This article describes how the Six Sigma methodology was used in the radiology department at a large academic hospital to improve the patient experience and increase CT capacity while reducing waste and improving staff satisfaction. The 5 distinct phases of Six Sigma are reviewed as they apply to our CT Center of Excellence project: define, measure, analyze, improve, and control. Process metrics used in this project include the percentage of outpatient CT exams started within 5 minutes of the scheduled appointment time, and the number of studies with protocols selected >48 hours before the CT exam is performed. Outcome metrics include monthly department expense per scan and CT Press Ganey "standard test and treatment" mean scores. An approach to developing interventions is described based on identifying critical sources of variation, ranking these by creating risk prioritization numbers, performing root cause analysis, and utilizing the failure mode and effects analysis tool to prioritize possible solutions. Finally, the key features of action plans and a control plan are reviewed.

A geriatric patient-centered medical home: how to obtain NCQA certification.

The patient-centered medical home is a rapidly growing concept in reforming American health care. It has spread from its origins in primary care pediatrics to family practice and, more recently, into internal medicine. This review article describes how primary care geriatricians can obtain certification from the National Committee for Quality Assurance (NCQA) for a patient-centered medical home that includes some of the features unique to geriatrics.