Objective. To determine whether, following implementation of California's minimum nurse staffing legislation, changes in acuity-adjusted nurse staffing and quality of care in California hospitals outpaced similar changes in hospitals in comparison states without such regulations. Data Sources/Study Setting. Study Design. We grouped hospitals into quartiles based on their preregulation staffing levels and used a difference-in-difference approach to compare changes in staffing and in quality of care in California hospitals to changes over the same time period in hospitals in 12 comparison states without minimum staffing legislation. Data Collection/Extraction Methods. We merged data from the above data sources to obtain measures of nurse staffing and quality of care. We used Agency for Healthcare Research and Quality's Patient Safety Indicators to measure quality. Principal Findings. With few exceptions, California hospitals increased nurse staffing levels over time significantly more than did comparison state hospitals. Failure to rescue decreased significantly more in some California hospitals, and infections due to medical care increased significantly more in some California hospitals than in comparison state hospitals. There were no statistically significant changes in either respiratory failure or postoperative sepsis. Conclusions. Following implementation of California's minimum nurse staffing legislation, nurse staffing in California increased significantly more than it did in comparison states' hospitals, but the extent of the increases depended upon preregulation staffing levels; there were mixed effects on quality.

PURPOSE This study examined how characteristics of practice leadership affect the change process in a statewide initiative to improve the quality of diabetes and asthma care. METHODSWe used a mixed methods approach, involving analyses of existing quality improvement data on 76 practices with at least 1 year of participation and focus groups with clinicians and staff in a 12-practice subsample. Existing data included monthly diabetes or asthma measures (clinical measures) and monthly practice implementation, leadership, and practice engagement scores rated by an external practice coach. RESULTSOf the 76 practices, 51 focused on diabetes and 25 on asthma. In aggregate, 50% to 78% made improvements within in each clinical measure in the fi rst year. The odds of making practice changes were greater for practices with higher leadership scores (odds ratios = 2.41-4.20). Among practices focused on diabetes, those with higher leadership scores had higher odds of performing nephropathy screening (odds ratio = 1.37, 95% CI, 1.08-1.74); no signifi cant associations were seen for the intermediate outcome measures of hemoglobin A 1c , blood pressure, and cholesterol. Focus groups revealed the importance of a leader, typically a physician, who believed in the transformation work (ie, a visionary leader) and promoted practice engagement through education and cross-training. Practices with greater change implementation also mentioned the importance of a midlevel operational leader who helped to create and sustain practice changes. This person communicated and interacted well with, and was respected by both clinicians and staff. CONCLUSIONSIn the presence of a vision for transformation, operational leaders within practices can facilitate practice changes that are associated with clinical improvement.

Rural hospitals differ from urban hospitals in many ways. For example, rural hospitals are more reliant on public payers and have lower operating margins. In addition, enrollment in the health insurance Marketplaces of the Affordable Care Act (ACA) has varied across rural and urban areas. This study employed a difference-in-differences approach to evaluate the average effect of Medicaid expansion in 2014 on payer mix and profitability for urban and rural hospitals, controlling for secular trends. For both types of hospitals, we found that Medicaid expansion was associated with increases in Medicaid-covered discharges. However, the increases in Medicaid revenue were greater among rural hospitals than urban hospitals, and the decrease in the proportion of costs for uncompensated care were greater among urban hospitals than rural hospitals. This preliminary analysis of the early effects of Medicaid expansion suggests that its financial impacts may be different for hospitals in urban and rural locations.

Pay-for-performance programs are being developed to improve quality of care despite limited empirical evidence demonstrating their effectiveness, especially in underserved communities. Using data on 1,166 patients treated by 46 primary care physicians, this paper examines the effect of an innovative pay-for-performance program implemented in 2004 at the nation's largest federally qualified health center on hemoglobin A1c (HbA1c) testing and HbA1c scores. Univariate analysis and logistic regression results show that the pay-for-performance program significantly increased the likelihood that patients received two HbA1c tests per year as recommended by the American Diabetes Association. Ordinary least squares (OLS) regression results reveal that physicians' baseline performance was positively related to performance after program implementation. Finally, OLS regression results suggest that the program did not contribute to improved blood sugar control. The pay-for-performance program appeared to improve compliance with HbA1c testing recommendations, but a more comprehensive strategy, including increased patient support, may be necessary to improve health outcomes in disadvantaged populations.

One increasingly popular mechanism for stimulating quality improvements is pay-for-performance, or incentive, programs. This article examines the cost-effectiveness of a hospital incentive system for heart-related care, using a principal-agent model, where the insurer is the principal and hospitals are the agents. Four-year incentive system costsfor the payer were dollar 22,059,383, composed primarily of payments to the participating hospitals, with approximately 5 percent in administrative costs. Effectiveness is measured in stages, beginning with improvements in the processes of heart care. Care process improvements are converted into quality-adjusted life years (QALYs) gained, with reference to literatures on clinical effectiveness and survival. An estimated 24,418 patients received improved care, resulting in a range of QALYs from 733 to 1,701, depending on assumptions about clinical effectiveness. Cost per QALY was found to be between dollar 12,967 and dollar 30,081, a level well under consensus measures of the value of a QALY.

Health care managers in primary care settings should strive to create a strong teamwork climate, reinforced by opportunities for staff in various roles to discuss QI as a collective.

Objective To estimate the effect of minimum nurse staffing ratios on California acute care hospitals’ financial performance. Data Sources/Study Setting Secondary data from Medicare cost reports, the American Hospital Association’s (AHA) Annual Survey, and the California Office of Statewide Health Planning and Development (OSHPD) are combined from 2000 to 2006 for 203 hospitals in California and 407 hospitals in 12 comparison states. Study Design The study employs a difference-in-difference analytical approach. Hospitals are grouped into quartiles based on pre-regulation nurse staffing levels in adult medical-surgical and pediatric units (quartile 1 = lowest staffing). Differences in operating margin, operating expenses per day, and inpatient operating expenses per discharge for California hospitals within a staffing quartile during the period of regulation are compared to differences at hospitals in comparison states during the same period. Data Collection/Extraction Methods Hospital data from Medicare cost reports are merged with nurse staffing measures obtained from AHA and from OSPHD. Principal Findings Relative to hospitals in comparison states, operating margins declined significantly for California hospitals in quartiles 2 and 3. Operating expenses increased significantly in quartiles 1, 2 and 3. Conclusions Implementation of minimum nurse staffing legislation in California put substantial financial pressure on some hospitals.

Objective Chronic disease collaboratives help practices redesign care delivery. The North Carolina Improving Performance in Practice program provides coaches to guide implementation of 4 key practice changes: registries, planned care templates, protocols, and self-management support. Coaches rate progress using the Key Drivers Implementation Scales (KDIS). This study examines whether higher KDIS scores are associated with improved diabetes outcomes. Methods We analyzed clinical and KDIS data from 42 practices. We modeled whether higher implementation scores at year 1 of participation were associated with improved diabetes measures during year 2. Improvement was defined as an increase in the proportion of patients with hemoglobin A1C values <9%, blood pressure values <130/80 mmHg, and low-density lipoprotein (LDL) levels <100 mg/dL. Results Statistically significant improvements in the proportion of patients who met the LDL threshold were noted with higher “registry” and “protocol” KDIS scores. For hemoglobin A1C and blood pressure values, none of the odds ratios were statistically significant. Conclusions Practices that implement key changes may achieve improved patient outcomes in LDL control among their patients with diabetes. Our data confirm the importance of registry implementation and protocol use as key elements of improving patient care. The KDIS tool is a pragmatic option for measuring practice changes that are rooted in the Chronic Care Model.