Hospital readiness for health information exchange: development of metrics associated with successful collaboration for quality improvement.

OBJECTIVE: The development of readiness metrics for organizational participation in health information exchange is critical for monitoring progress toward, and achievement of, successful inter-organizational collaboration. In preparation for the development of a tool to measure readiness for data-sharing, we tested whether organizational capacities known to be related to readiness were associated with successful participation in an American data-sharing collaborative for quality improvement. DESIGN: Cross-sectional design, using an on-line survey of hospitals in a large, mature data-sharing collaborative organized for benchmarking and improvement in nursing care quality. MEASUREMENTS: Factor analysis was used to identify salient constructs, and identified factors were analyzed with respect to "successful" participation. "Success" was defined as the incorporation of comparative performance data into the hospital dashboard. RESULTS: The most important factor in predicting success included survey items measuring the strength of organizational leadership in fostering a culture of quality improvement (QI Leadership): (1) presence of a supportive hospital executive; (2) the extent to which a hospital values data; (3) the presence of leaders' vision for how the collaborative advances the hospital's strategic goals; (4) hospital use of the collaborative data to track quality outcomes; and (5) staff recognition of a strong mandate for collaborative participation (α=0.84, correlation with Success 0.68 [P<0.0001]). CONCLUSION: The data emphasize the importance of hospital QI Leadership in collaboratives that aim to share data for QI or safety purposes. Such metrics should prove useful in the planning and development of this complex form of inter-organizational collaboration.

Nursing-sensitive benchmarks for hospitals to gauge high-reliability performance.

Benchmarking expedites the quest for best practices and is crucial to hospitals' effective, reliable, and superior performance. Comparative performance data are used by accrediting and regulatory bodies to evaluate performance and by consumers in making decisions on where to seek healthcare. Nursing-sensitive quality measures affirmed by the National Quality Forum are now used in public reporting and pay-for-performance in addition to traditional medical outcome metrics. This report provides hospital nursing-sensitive benchmarks from medical/surgical, critical care, and step-down units drawn from 196 hospitals during six quarters in 2007 and 2008. Outcome measures include pressure ulcer prevalence rates and fall/falls with injury rates. Additional indicators that describe nursing care (nurse staffing care hours, skill mix, nurse/patient ratios, workload intensity, voluntary turnover, and use of sitters) and patient descriptors (age, gender, and diagnosis description) were also included. Specific benchmarks are provided using the 10th and the 90th percentiles, as well as quartiles to allow hospitals an opportunity to understand comparative performance with specificity. The purpose of this article is to provide hospitals not currently participating in comparative benchmarking databases with nursing-sensitive data from the Collaborative Alliance for Nursing Outcomes for use in performance improvement processes.

Benchmarking for small hospitals: size didn't matter!

Benchmarking is an indispensable tool as hospital leaders face challenges to balance efficiency with safe and effective care. Selection of appropriate "like" hospitals is critical to the benchmarking aim of understanding comparative performance. Based on 10 years of observed outcome differences between small and large hospitals, the Collaborative Alliance for Nursing Outcomes (CALNOC) sought to empirically define small hospitals, and to determine if there were statistical differences between small and large hospitals for selected nursing sensitive outcome indicators. This article reports the examination of hospital size as a proxy characteristic to define "like" hospitals for the purpose of benchmarking outcomes. Findings suggest that optimal classifications into small and large hospital size based on the outcome indicators of falls, falls with injury, and hospital-acquired pressure ulcers stage 2 or worse (HAPU 2+) were not consistent with historical administrative categories based on average daily census and not consistent by outcome. Statistical differences were only found with HAPU 2+ in critical care units, with no differences in the fall outcomes. These data did not support the use of size-based categories to define like hospitals for benchmark comparisons.

Identifying organizational capacities and incentives for clinical data-sharing: the case of a regional perinatal information system.

The development of regional data-sharing among healthcare organizations is viewed as an important step in the development of health information technology (HIT), but little is known about this complex task. This is a case study of a regional perinatal data system that involved four hospitals, together responsible for over 10,000 births annually. Using standard qualitative methods, we chronicled project milestones, and identified 31 "critical incidents" that delayed or prevented their achievement. We then used these critical incidents to articulate six organizational capacity domains associated with the achievement of project milestones, and a seventh domain consisting of organizational incentives. Finally, we analyzed the relationship of milestone achievement to the presence of these capacities and incentives. This data center case suggests four requirements for sharing data across organizations: 1) a readiness assessment; 2) a perceived mandate; 3) a formal governance structure; and 4) a third party IT component.

Quartile dashboards: translating large data sets into performance improvement priorities.

Quality professionals are the first to understand challenges of transforming data into meaningful information for frontline staff, operational managers, and governing bodies. To understand an individual facility, service, or patient care unit's comparative performance from within large data sets, prioritization and focused data presentation are needed. This article presents a methodology for translating data from large data sets into dashboards for setting performance improvement priorities, in a simple way that takes advantage of tools readily available and easily used by support staff. This methodology is illustrated with examples from a large nursing quality data set, the California Nursing Outcomes Coalition.

Mandated nurse staffing ratios in California: a comparison of staffing and nursing-sensitive outcomes pre- and postregulation.

This article examines the impact of mandated nursing ratios in California on key measures of nursing quality among adults in acute care hospitals. This study is a follow-up and extension of our first analysis exploring nurse staffing and nursing-sensitive outcomes comparing 2002 pre-ratios regulation data to 2004 postratios regulation data. For the current study we used postregulation ratios data from 2004 and 2006 to assess trends in staffing and outcomes. Findings for nurse staffing affirmed the trends noted in 2005 and indicated that changes in nurse staffing were consistent with expected increases in the proportion of licensed staff per patient. This report includes an exploratory examination of the relationship between staffing and nursing-sensitive patient outcomes. However anticipated improvements in nursing-sensitive patient outcomes were not observed. This report contributes to the growing understanding of the impacts of regulatory staffing mandates on hospital operations and patient outcomes.

Leveraging nurse-related dashboard benchmarks to expedite performance improvement and document excellence.

Using nursing quality benchmarks in operational dashboards and translating those data to drive performance excellence is a strategic imperative. Since access to unit-level, hospital-generated nurse-related benchmarks is an emerging arena, the authors provide an overview of aggregated trends and benchmarks gleaned from the California Nursing Outcome Coalition acute care database for 2 established nurse-related quality indicators-patient falls incidence and hospital-acquired pressure ulcer prevalence. Integrating these acute care benchmarks into clinical dashboards can be invaluable to clinicians, administrators, and policy makers who share a common commitment to expediting evidence-based improvement in patient care safety, outcomes, and excellence.

Creating and analyzing a statewide nursing quality measurement database.

PURPOSE: To explicate a replicable methodology for designing and analyzing a large ongoing reliable and valid quality database to examine nurse staffing and patient care outcomes in acute care hospitals. DESIGN: Prospective nurse staffing, process of care, and patient outcomes data based on the American Nurses Association's (ANA) nursing quality indicators collected from a voluntary convenience sample at acute care hospitals in California with rolling-site accrual. METHODS: The ongoing CalNOC database development and repository project, the largest statewide effort of its kind in the United States (US), currently includes data on hospital nurse staffing, patient days, patient falls, pressure ulcer and restraint prevalence, registered nurse (RN) education, and patients' perceptions of satisfaction with care. FINDINGS: As of May 2003, the CalNOC database contained staffing data from 842 units in 134 acute care hospitals over 20 quarters from April 1998 to March 2003. The repository also included clinical outcome information on 34,262 reported patient falls, pressure ulcer prevalence data on 41,982 patient observations, and service outcome data on patient satisfaction from 26,461 patients. Participating hospitals receive quarterly reports allowing them to benchmark their own performance against other participating hospitals. CalNOC methods have been adapted and replicated by both the Military Nursing Outcomes Database and VA Nursing Outcomes Database projects, and CalNOC nursing-sensitive measures have been endorsed by the National Quality Forum. CONCLUSIONS: This working model for collecting reliable and valid data was derived from multiple hospitals across California. The data are the basis for studies to contribute to the development of evidence-based public policy, and for ongoing study of the effects of nurse staffing on clinical and service outcomes.

Nurse staffing and patient perceptions of nursing care.

UNLABELLED: OBJECTIVE To examine the relationship between nurse staffing and patient perceptions of nursing care in a convenience sample of 40 California hospitals. BACKGROUND: Growing concern about the adequacy of nurse staffing has led to an increased emphasis on research exploring the relationships between nurse staffing and patient outcomes. Patient satisfaction with nursing care is one of the 21 indicators identified by the American Nurses Association as having a strong "theoretical link to the availability and quality of professional nursing services in hospital settings." This prospective study examined the relationship between nurse staffing and patient perceptions of nursing care in multiple hospitals using common definitions of both nurse staffing and patient perceptions of care. METHODS: Nurse staffing (structural variables) and patient perceptions of nursing care (outcome variables) from hospitals participating in both the ongoing California Nursing Outcomes Coalition statewide database project and the statewide Patients' Evaluation of Performance in California project, with data available on both measures for the same time periods, were examined. Analytic methods included both descriptive and inferential statistics. RESULTS: Hospitals with wide ranges of staffing levels showed similar results in patient perceptions of nursing care. Regression analysis revealed a statistically significant relationship between nursing hours per patient day, and 1 of the 6 dimensions of care measured ("respect for patient's values, preferences, and expressed needs"). CONCLUSIONS: Nurse staffing alone showed a significant but weak relationship to patient perceptions of their care, indicating that staffing is likely only one of several relevant variables influencing patient perceptions of their nursing care. This research contributes data to the body of knowledge regarding nurse staffing. It is essential that nurse executives integrate results from this and other studies in developing strategic and tactical staffing plans that yield positive patient care outcomes.

Nursing documentation time during implementation of an electronic medical record.

OBJECTIVE: To determine, within the context of all nursing duties, the amount of time nurses spend on documentation during the implementation of an electronic medical record (EMR) on an intrapartum unit. BACKGROUND: Increased documentation needs during EMR implementation may necessitate increased staffing requirements in an already labor-intensive and demanding environment. METHODS: A work-sampling study was conducted over a 14-day study period, and 18 of 84 (21%) potential 4-hour observation periods were selected. During each period, a single observer made 120 observations and, on locating a specific nurse, immediately recorded that nurse's activity on a standardized and validated instrument. Categories of nursing activities included documentation, bedside care, bedside supportive care, nonbedside care, and nonpatient care. RESULTS: A total of 2160 observations were made. The total percentage of nursing time spent for documentation was 15.8%, 10.6% on paper and 5.2% on the computer. The percentage of time spent on documentation was independently associated with day versus night shifts (19.2% vs 12.4%, respectively). CONCLUSIONS: Despite charting concurrently on both paper and computer, the amount of time spent on documentation was not excessive, and was consistent with previous studies in which neither electronic nor "double charting" occurred.