Background: As a strategy for improving clinical practice guideline (CPG) adherence, audit and feedback (A&F) has been found to be variably effective, yet A&F research has not investigated the impact of feedback characteristics on its effectiveness. This paper explores how high performing facilities (HPF) and low performing facilities (LPF) differ in the way they use clinical audit data for feedback purposes.

IMPORTANCE Pay for performance is intended to align incentives to promote high-quality care, but results have been contradictory.OBJECTIVE To test the effect of explicit financial incentives to reward guidelinerecommended hypertension care. DESIGN, SETTING, AND PARTICIPANTSCluster randomized trial of 12 Veterans Affairs outpatient clinics with 5 performance periods and a 12-month washout that enrolled 83 primary care physicians and 42 nonphysician personnel (eg, nurses, pharmacists).INTERVENTIONS Physician-level (individual) incentives, practice-level incentives, both, or none. Intervention participants received up to 5 payments every 4 months; all participants could access feedback reports.MAIN OUTCOMES AND MEASURES Among a random sample, number of patients achieving guideline-recommended blood pressure thresholds or receiving an appropriate response to uncontrolled blood pressure, number of patients prescribed guideline-recommended medications, and number who developed hypotension.

Audit and feedback (A&F) is a commonly used quality improvement (QI) approach. A Cochrane review indicates that A&F is generally effective and leads to modest improvements in professional practice but with considerable variation in the observed effects. While we have some understanding of factors that enhance the effects of A&F, further research needs to explore when A&F is most likely to be effective and how to optimise it. To do this, we need to move away from two-arm trials of A&F compared with control in favour of head-to-head trials of different ways of providing A&F. This paper describes implementation laboratories involving collaborations between healthcare organisations providing A&F at scale, and researchers, to embed head-to-head trials into routine QI programmes. This can improve effectiveness while producing generalisable knowledge about how to optimise A&F. We also describe an international meta-laboratory that aims to maximise cross-laboratory learning and facilitate coordination of A&F research.

Facility-level strategies undertaken to implement national PM systems may result in inappropriate clinical care, can distract providers from patient concerns, and may have a negative effect on patient education and autonomy. Further research is needed to ascertain how features of centralized PM systems influence whether measures are translated locally by facilities into more or less patient-centered policies and processes.

BackgroundThe measurement of healthcare provider performance is becoming more widespread. Physicians have been guarded about performance measurement, in part because the methodology for comparative measurement of care quality is underdeveloped. Comprehensive quality improvement will require comprehensive measurement, implying the aggregation of multiple quality metrics into composite indicators.ObjectiveTo present a conceptual framework to develop comprehensive, robust, and transparent composite indicators of pediatric care quality, and to highlight aspects specific to quality measurement in children.MethodsWe reviewed the scientific literature on composite indicator development, health systems, and quality measurement in the pediatric healthcare setting. Frameworks were selected for explicitness and applicability to a hospital-based measurement system.ResultsWe synthesized various frameworks into a comprehensive model for the development of composite indicators of quality of care. Among its key premises, the model proposes identifying structural, process, and outcome metrics for each of the Institute of Medicine's six domains of quality (safety, effectiveness, efficiency, patient-centeredness, timeliness, and equity) and presents a step-by-step framework for embedding the quality of care measurement model into composite indicator development.ConclusionsThe framework presented offers researchers an explicit path to composite indicator development. Without a scientifically robust and comprehensive approach to measurement of the quality of healthcare, performance measurement will ultimately fail to achieve its quality improvement goals.

background Variation in health care delivery and outcomes in NICUs may be partly explained by differences in safety culture. objective To describe NICU caregiver assessments of safety culture, explore the variability within and between NICUs on safety culture domains, and test for association with caregiver characteristics. methods We surveyed NICU caregivers in a convenience sample of 12 hospitals from a single health care system, using the Safety Attitudes Questionnaire (SAQ). The six scales of the SAQ include teamwork climate, safety climate, job satisfaction, stress recognition, perception of management, and working conditions. For each NICU we calculated scale means, standard deviations and percent positives (percent agreement). results We found substantial variation in safety culture domains among participating NICUs. A composite mean score across the six safety culture domains ranged from 56.3 to 77.8 on a 100-point scale and NICUs in the top four NICUs were significantly different from the bottom four (p < .001). Across the six domains, respondent assessments varied widely, but were least positive on perceptions of management (3–80% positive; mean 33.3%) and stress recognition (18–61% positive; mean 41.3%). Comparisons of SAQ scale scores between NICUs and a previously published cohort of adult ICUs generally revealed higher scores for NICUs. Physicians composite scores were 8.2 (p = .04) and 9.5 (p =.02) points higher than nurses and ancillary personnel. conclusion Significant variation and scope for improvement in safety culture exists among this sample of NICUs. The NICU variation was similar to variation in adult ICUs, but NICU scores were generally higher than adult ICU scores. Future studies should validate whether safety culture as measured with the SAQ correlates with clinical and operational outcomes in the NICU setting.

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BackgroundSuccessful subspecialty referrals require considerable coordination and interactive communication among the primary care provider (PCP), the subspecialist, and the patient, which may be challenging in the outpatient setting. Even when referrals are facilitated by electronic health records (EHRs) (i.e., e-referrals), lapses in patient follow-up might occur. Although compelling reasons exist why referral coordination should be improved, little is known about which elements of the complex referral coordination process should be targeted for improvement. Using Okhuysen & Bechky's coordination framework, this paper aims to understand the barriers, facilitators, and suggestions for improving communication and coordination of EHR-based referrals in an integrated healthcare system.MethodsWe conducted a qualitative study to understand coordination breakdowns related to e-referrals in an integrated healthcare system and examined work-system factors that affect the timely receipt of subspecialty care. We conducted interviews with seven subject matter experts and six focus groups with a total of 30 PCPs and subspecialists at two tertiary care Department of Veterans Affairs (VA) medical centers. Using techniques from grounded theory and content analysis, we identified organizational themes that affected the referral process.ResultsFour themes emerged: lack of an institutional referral policy, lack of standardization in certain referral procedures, ambiguity in roles and responsibilities, and inadequate resources to adapt and respond to referral requests effectively. Marked differences in PCPs' and subspecialists' communication styles and individual mental models of the referral processes likely precluded the development of a shared mental model to facilitate coordination and successful referral completion. Notably, very few barriers related to the EHR were reported.ConclusionsDespite facilitating information transfer between PCPs and subspecialists, e-referrals remain prone to coordination breakdowns. Clear referral policies, well-defined roles and responsibilities for key personnel, standardized procedures and communication protocols, and adequate human resources must be in place before implementing an EHR to facilitate referrals.