Neonatal Abstinence Syndrome and Maternal Opioid-Related Diagnoses in the US, 2010-2017.

Importance: Substantial increases in both neonatal abstinence syndrome (NAS) and maternal opioid use disorder have been observed through 2014. Objective: To examine national and state variation in NAS and maternal opioid-related diagnoses (MOD) rates in 2017 and to describe national and state changes since 2010 in the US, which included expanded MOD codes (opioid use disorder plus long-term and unspecified use) implemented in International Classification of Disease, 10th Revision, Clinical Modification. Design, Setting, and Participants: Repeated cross-sectional analysis of the 2010 to 2017 Healthcare Cost and Utilization Project's National Inpatient Sample and State Inpatient Databases, an all-payer compendium of hospital discharge records from community nonrehabilitation hospitals in 47 states and the District of Columbia. Exposures: State and year. Main Outcomes and Measures: NAS rate per 1000 birth hospitalizations and MOD rate per 1000 delivery hospitalizations. Results: In 2017, there were 751 037 birth hospitalizations and 748 239 delivery hospitalizations in the national sample; 5375 newborns had NAS and 6065 women had MOD documented in the discharge record. Mean gestational age was 38.4 weeks and mean maternal age was 28.8 years. From 2010 to 2017, the estimated NAS rate significantly increased by 3.3 per 1000 birth hospitalizations (95% CI, 2.5-4.1), from 4.0 (95% CI, 3.3-4.7) to 7.3 (95% CI, 6.8-7.7). The estimated MOD rate significantly increased by 4.6 per 1000 delivery hospitalizations (95% CI, 3.9-5.4), from 3.5 (95% CI, 3.0-4.1) to 8.2 (95% CI, 7.7-8.7). Larger increases for MOD vs NAS rates occurred with new International Classification of Disease, 10th Revision, Clinical Modification codes in 2016. From a census of 47 state databases in 2017, NAS rates ranged from 1.3 per 1000 birth hospitalizations in Nebraska to 53.5 per 1000 birth hospitalizations in West Virginia, with Maine (31.4), Vermont (29.4), Delaware (24.2), and Kentucky (23.9) also exceeding 20 per 1000 birth hospitalizations, while MOD rates ranged from 1.7 per 1000 delivery hospitalizations in Nebraska to 47.3 per 1000 delivery hospitalizations in Vermont, with West Virginia (40.1), Maine (37.8), Delaware (24.3), and Kentucky (23.4) also exceeding 20 per 1000 delivery hospitalizations. From 2010 to 2017, NAS and MOD rates increased significantly for all states except Nebraska and Vermont, which only had MOD increases. Conclusions and Relevance: In the US from 2010 to 2017, estimated rates of NAS and MOD significantly increased nationally and for the majority of states, with notable state-level variation.

Readmissions Following Inpatient Treatment for Opioid-Related Conditions.

BACKGROUND: Previous research suggests that relatively few hospitalized patients with opioid-related conditions receive substance use treatment during their inpatient stay. Without treatment, these individuals may be more likely to have subsequent hospitalizations for continued opioid use disorder. OBJECTIVE: To evaluate the relationship between receipt of inpatient drug detoxification and/or rehabilitation services and subsequent opioid-related readmission. METHODS: This study used combined hospital inpatient discharge and emergency department visit data from the Agency for Healthcare Research and Quality's Healthcare Cost and Utilization Project. Our sample consisted of 329,037 patients from seven states with an opioid-related index hospitalization occurring between March 2010 and September 2013. Multivariate analysis was conducted to examine the relationship between opioid-related readmission and the receipt of inpatient drug detoxification and/or rehabilitation during the index visit. RESULTS: A relatively small percentage (19.4%) of patients with identified opioid-related conditions received treatment for drug use during their hospital inpatient stay. Patients who received drug rehabilitation, but not drug detoxification, during an opioid-related index hospitalization had lower odds of an opioid-related readmission within 90 days of discharge (odds ratio = 0.60, 95% confidence interval = 0.54-0.67) compared with patients with no inpatient drug detoxification or rehabilitation. Conclusions/Importance: A low percentage of patients receive inpatient services for drug use during an index stay involving an opioid-related diagnosis. Our findings indicate that receipt of drug rehabilitation services in acute care hospitals is associated with a lower 90-day readmission rate. Further research is needed to understand factors associated with the receipt of inpatient services and readmissions.

Shifts in Medicaid and Uninsured Payer Mix at Safety-Net and Non-Safety-Net Hospitals During the Great Recession.

EXECUTIVE SUMMARY: There has been ongoing concern regarding the viability of safety-net hospitals (SNHs), which care for vulnerable populations. The authors examined payer mix at SNHs and non-SNHs during a period covering the Great Recession using data from the 2006 to 2012 Healthcare Cost and Utilization Project State Inpatient Databases from 38 states. The number of privately insured stays decreased at both SNHs and non-SNHs. Non-SNHs increasingly served Medicaid-enrolled and uninsured patients; in SNHs, the number of Medicaid stays decreased and uninsured stays remained stable. These study findings suggest that SNHs were losing Medicaid-enrolled patients relative to non-SNHs before the Medicaid expansion under the Affordable Care Act (ACA). Postexpansion, Medicaid stays will likely increase for both SNHs and non-SNHs, but the increase at SNHs may not be as large as expected if competition increases. Because hospital stays with private insurance and Medicaid help SNHs offset uncompensated care, a lower-than-expected increase could affect SNHs' ability to care for the remaining uninsured population. Continued monitoring is needed once post-ACA data become available.

Hospital readmission rates and emergency department visits for mental health and substance abuse conditions.

Community hospital stays in 12 states during 2008-2009 were analyzed to determine predictors of 12-month hospital readmission and emergency department (EDs) revisits among persons with a mental health or substance abuse diagnosis. Probabilities of hospital readmission and of ED revisits were modeled as functions of patient demographics, insurance type, number of prior-year hospital stays, diagnoses and other characteristics of the initial stay, and hospital characteristics. Alcohol or drug dependence, dementias, psychotic disorders, autism, impulse control disorders, and personality disorders were most strongly associated with future inpatient admission or ED revisits within 12 months of initial encounter. Insurance type, including uninsured status, were highly significant (p<.01) predictors of both readmission and ED revisits.

Examining the value of inpatient nurse staffing: an assessment of quality and patient care costs.

BACKGROUND: Inpatient quality deficits have important implications for the health and well-being of patients. They also have important financial implications for payers and hospitals by leading to longer lengths of stay and higher intensity of treatment. Many of these costly quality deficits are particularly sensitive to nursing care. OBJECTIVE: To assess the effect of nurse staffing on quality of care and inpatient care costs. DESIGN: Longitudinal analysis using hospital nurse staffing data and the Healthcare Cost and Utilization Project State Inpatient Databases from 2008 through 2011. SUBJECTS: Hospital discharges from California, Nevada, and Maryland (n=18,474,860). METHODS: A longitudinal, hospital-fixed effect model was estimated to assess the effect of nurse staffing levels and skill mix on patient care costs, length of stay, and adverse events, adjusting for patient clinical and demographic characteristics. RESULTS: Increases in nurse staffing levels were associated with reductions in nursing-sensitive adverse events and length of stay, but did not lead to increases in patient care costs. Changing skill mix by increasing the number of registered nurses, as a proportion of licensed nursing staff, led to reductions in costs. CONCLUSIONS: The study findings provide support for the value of inpatient nurse staffing as it contributes to improvements in inpatient care; increases in staff number and skill mix can lead to improved quality and reduced length of stay at no additional cost.

Pre-COVID Trends in Substance Use Disorders and Treatment Utilization during Pregnancy in West Virginia 2016-2019.

Introduction: Access to prenatal care offers the opportunity for providers to assess for substance use disorders (SUDs) and to offer important treatment options, but utilization of treatment during pregnancy has been difficult to measure. This study presents pre-COVID trends of a subset of SUD diagnosis at the time of delivery and related trends in treatment utilization during pregnancy. Materials and Methods: A retrospective cohort design was used for the analysis of West Virginia Medicaid claims data from 2016 to 2019. Diagnosis of SUDs at the time of delivery and treatment utilization for opioid use disorder (OUD) and non-OUD diagnosis during pregnancy across time were the principal outcomes of interest. This study examined data from n = 49,398 pregnant individuals. Results: Over the 4-year period, a total of 2,830 (5.7%) individuals had a SUD diagnosis at the time of delivery. The frequency of opioid-related diagnoses decreased by 29.3%; however, non-opioid SUD diagnoses increased by 55.8%, with the largest increase in the diagnosis of stimulant use disorder (30.9%). Treatment for OUD increased by 13%, but treatment for non-opioid SUD diagnoses during pregnancy declined by 41.1% during the same period. Conclusions: Interventions enacted within West Virginia have improved access and utilization of treatment for OUD in pregnancy. However, consistent with national trends in the general population, non-opioid SUD diagnoses, especially for stimulants, have rapidly increased, while treatment for this group decreased. Early identification and referral to treatment by OB-GYN providers are paramount to reducing pregnancy and postpartum complications for the mother and neonate.

Neonatal Abstinence Syndrome and Maternal Opioid-Related Diagnoses: Analysis of ICD-10-CM Transition, 2013-2017.

BACKGROUND AND OBJECTIVES: Hospital discharge records remain a common data source for tracking the opioid crisis among pregnant women and infants. The International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) transition from the International Classification of Diseases, Ninth Revision, Clinical Modification may have affected surveillance. Our aim was to evaluate this transition on rates of neonatal abstinence syndrome (NAS), maternal opioid use disorder (OUD), and opioid-related diagnoses (OUD with ICD-10-CM codes for long-term use of opioid analgesics and unspecified opioid use). METHODS: Data from the 2013-2017 Healthcare Cost and Utilization Project's National Inpatient Sample were used to conduct, interrupted time series analysis and log-binomial segmented regression to assess whether quarterly rates differed across the transition. RESULTS: From 2013 to 2017, an estimated 18.8 million birth and delivery hospitalizations were represented. The ICD-10-CM transition was not associated with NAS rates (rate ratio [RR]: 0.99; 95% confidence interval [CI]: 0.90-1.08; P = .79) but was associated with 11% lower OUD rates (RR: 0.89; 95% CI: 0.80-0.98; P = .02) and a decrease in the quarterly trend (RR: 0.98; 95% CI: 0.96-1.00; P = .04). The transition was not associated with maternal OUD plus long-term use rates (RR: 0.98; 95% CI: 0.89-1.09; P = .76) but was associated with a 20% overall increase in opioid-related diagnosis rates including long-term and unspecified use (RR: 1.20; 95% CI: 1.09-1.32; P < .001). CONCLUSIONS: The ICD-10-CM transition did not appear to affect NAS. However, coding of maternal OUD alone may not capture the same population across the transition, which confounds the interpretation of trend data spanning this time period.

Can state databases be used to develop a national, standardized hospital nurse staffing database?

This study evaluates the feasibility of building a national, standardized hospital nurse staffing database from state data collections in order to improve the availability of valid, reliable nursing staffing measures and to allow linkage to other databases. A state-by-state review of public and private reporting systems reveals that 25 states collect some form of nurse staffing data. Out of those, 12 states make complete, usable data available, and 5 additionally meet data quality and specificity criteria. Our review finds that there is little consistency in the content of the RN measure, which makes it difficult to conduct multistate research on nurse staffing topics. We recommend the long-term development of two types of nurse staffing databases: a state-by-state collection, and a standardized, multistate database with uniform data elements across states. This mixed approach will provide a comprehensive source of nurse staffing data to researchers with diverse analytic needs.

Returns to Emergency Department, Observation, or Inpatient Care Within 30 Days After Hospitalization in 4 States, 2009 and 2010 Versus 2013 and 2014.

BACKGROUND: Nationally, readmissions have declined for acute myocardial infarction (AMI) and heart failure (HF) and risen slightly for pneumonia, but less is known about returns to the hospital for observation stays and emergency department (ED) visits. OBJECTIVE: To describe trends in rates of 30-day, all-cause, unplanned returns to the hospital, including returns for observation stays and ED visits. DESIGN: By using Healthcare Cost and Utilization Project data, we compared 210,007 index hospitalizations in 2009 and 2010 with 212,833 matched hospitalizations in 2013 and 2014. SETTING: Two hundred and one hospitals in Georgia, Nebraska, South Carolina, and Tennessee. PATIENTS: Adults with private insurance, Medicaid, or no insurance and seniors with Medicare who were hospitalized for AMI, HF, and pneumonia. MEASUREMENTS: Thirty-day hospital return rates for inpatient, observation, and ED visits. RESULTS: Return rates remained stable among adults with private insurance (15.1% vs 15.3%; P = 0.45) and declined modestly among seniors with Medicare (25.3% vs 25.0%; P = 0.04). Increases in observation and ED visits coincided with declines in readmissions (8.9% vs 8.2% for private insurance and 18.3% vs 16.9% for Medicare, both P ≤ 0.001). Return rates rose among patients with Medicaid (31.0% vs 32.1%; P = 0.04) and the uninsured (18.8% vs 20.1%; P = 0.004). Readmissions remained stable (18.7% for Medicaid and 9.5% for uninsured patients, both P > 0.75) while observation and ED visits increased. CONCLUSIONS: Total returns to the hospital are stable or rising, likely because of growth in observation and ED visits. Hospitalists' efforts to improve the quality and value of hospital care should consider observation and ED care.

Development and Validation of the Agency for Healthcare Research and Quality Measures of Potentially Preventable Emergency Department (ED) Visits: The ED Prevention Quality Indicators for General Health Conditions.

OBJECTIVE: To develop and validate rates of potentially preventable emergency department (ED) visits as indicators of community health. DATA SOURCES: Agency for Healthcare Research and Quality, Healthcare Cost and Utilization Project 2008-2010 State Inpatient Databases and State Emergency Department Databases. STUDY DESIGN: Empirical analyses and structured panel reviews. METHODS: Panels of 14-17 clinicians and end users evaluated a set of ED Prevention Quality Indicators (PQIs) using a Modified Delphi process. Empirical analyses included assessing variation in ED PQI rates across counties and sensitivity of those rates to county-level poverty, uninsurance, and density of primary care physicians (PCPs). PRINCIPAL FINDINGS: ED PQI rates varied widely across U.S. communities. Indicator rates were significantly associated with county-level poverty, median income, Medicaid insurance, and levels of uninsurance. A few indicators were significantly associated with PCP density, with higher rates in areas with greater density. A clinical and an end-user panel separately rated the indicators as having strong face validity for most uses evaluated. CONCLUSIONS: The ED PQIs have undergone initial validation as indicators of community health with potential for use in public reporting, population health improvement, and research.

The Shifting Landscape in Utilization of Inpatient, Observation, and Emergency Department Services Across Payers.

Recent policies by public and private payers have increased incentives to reduce hospital admissions. Using data from four states from the Agency for Healthcare Research and Quality Healthcare Cost and Utilization Project, this study compared the payer-specific population-based rates of adults using inpatient, observation, and emergency department (ED) services for 10 common medical conditions in 2009 and in 2013. Patients had an expected primary payer of private insurance, Medicare, Medicaid, or no insurance. Across all four payer populations, inpatient admissions declined, and care shifted toward treat-and-release observation stays and ED visits. The percentage of hospitalizations that began with an observation stay increased. Implications for quality of care and costs to patients warrant further examination. Journal of Hospital Medicine 2017;12:443-446.

Intimate partner violence-related hospitalizations in Appalachia and the non-Appalachian United States.

The highly rural region of Appalachia faces considerable socioeconomic disadvantage and health disparities that are recognized risk factors for intimate partner violence (IPV). The objective of this study was to estimate the rate of IPV-related hospitalizations in Appalachia and the non-Appalachian United States for 2007-2011 and compare hospitalizations in each region by clinical and sociodemographic factors. Data on IPV-related hospitalizations were extracted from the State Inpatient Databases, which are part of the Healthcare Cost and Utilization Project. Hospitalization day, year, in-hospital mortality, length of stay, average and total hospital charges, sex, age, payer, urban-rural location, income, diagnoses and procedures were compared between Appalachian and non-Appalachian counties. Poisson regression models were constructed to test differences in the rate of IPV-related hospitalizations between both regions. From 2007-2011, there were 7,385 hospitalizations related to IPV, with one-third (2,645) occurring in Appalachia. After adjusting for age and rurality, Appalachian counties had a 22% higher hospitalization rate than non-Appalachian counties (ARR = 1.22, 95% CI: 1.14-1.31). Appalachian residents may be at increased risk for IPV and associated conditions. Exploring disparities in healthcare utilization and costs associated with IPV in Appalachia is critical for the development of programs to effectively target the needs of this population.

An Examination of Hospital Nurse Staffing and Patient Experience with Care: Differences between Cross-Sectional and Longitudinal Estimates.

OBJECTIVE: To study the association between hospital nurse staffing and Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) scores. DATA SOURCES: State hospital financial and utilization reports, Healthcare Cost and Utilization Project State Inpatient Databases, HCAHPS survey, and American Hospital Association Annual Survey of Hospitals. STUDY DESIGN: Retrospective study using cross-sectional and longitudinal models to estimate the effect of nurse staffing levels and skill mix on seven HCAHPS measures. DATA COLLECTION/EXTRACTION METHODS: Hospital-level data measuring nurse staffing, patient experience, and hospital characteristics from 2009 to 2011 for 341 hospitals (977 hospital years) in California, Maryland, and Nevada. PRINCIPAL FINDINGS: Nurse staffing level (i.e., number of licensed practical nurses and registered nurses per 1,000 inpatient days) was significantly and positively associated with all seven HCAHPS measures in cross-sectional models and three of seven measures in longitudinal models. Nursing skill mix (i.e., percentage of all staff who are registered nurses) was significantly and negatively associated with scores on one measure in cross-sectional models and none in longitudinal models. CONCLUSIONS: After controlling for unobserved hospital characteristics, the positive influences of increased nurse staffing levels and skill mix were relatively small in size and limited to a few measures of patients' inpatient experience.

Medicaid dental coverage alone may not lower rates of dental emergency department visits.

Medicaid was expanded to millions of individuals under the Affordable Care Act, but many states do not provide dental coverage for adults under their Medicaid programs. In the absence of dental coverage, patients may resort to costly emergency department (ED) visits for dental conditions. Medicaid coverage of dental benefits could help ease the burden on the ED, but ED use for dental conditions might remain a problem in areas with a scarcity of dentists. We examined county-level rates of ED visits for nontraumatic dental conditions in twenty-nine states in 2010 in relation to dental provider density and Medicaid coverage of nonemergency dental services. Higher density of dental providers was associated with lower rates of dental ED visits by patients with Medicaid in rural counties but not in urban counties, where most dental ED visits occurred. County-level Medicaid-funded dental ED visit rates were lower in states where Medicaid covered nonemergency dental services than in other states, although this difference was not significant after other factors were adjusted for. Providing dental coverage alone might not reduce Medicaid-funded dental ED visits if patients do not have access to dental providers.

Community hospital admission from the emergency department by persons with substance use disorders.

Persons with a substance use disorder (SUD) are less likely to be insured and may have limited access to appropriate care, thereby increasing their reliance on emergency departments (EDs). We investigated whether health conditions and insurance status are significant predictors of admission to a community hospital directly from an ED visit with an SUD diagnosis. We analyzed the 2008 Nationwide Emergency Department Sample of the Healthcare Cost and Utilization Project. Lack of health insurance was disproportionately likely in ED visits that carried an SUD diagnosis, whether alcohol- or drug-related. Using regression analysis, most SUD and non-SUD diagnostic categories and many procedure categories were significantly related to subsequent hospital admission. Controlling for clinical characteristics, SUD-related ED visits covered by public or private insurance had substantially higher odds of leading to hospital admission than did uninsured visits. Policies that broaden insurance coverage may improve access to inpatient care for persons with SUDs.

Epiglottitis in the United States: national trends, variances, prognosis, and management.

OBJECTIVES/HYPOTHESIS: To study national trends, variances, and outcomes in patients admitted with epiglottitis in the United States. We hypothesize that the incidence of epiglottitis has decreased, mortality has decreased, and that there has been a shift toward older patients being admitted with epiglottitis. STUDY DESIGN: Retrospective review of a dataset for years 1998, 2000, 2002, 2004, and 2006. METHODS: The Nationwide Inpatient Sample was searched using ICD-9 CM codes for epiglottitis with obstruction (464.30) and without obstruction (464.31). Characteristics studied included patient demographics, hospital information, and admission variables. Weighted admissions were analyzed to facilitate national estimates. RESULTS: There was a trend toward decreasing admissions over the study period, from 4587.17 cases (1998) to 3772.49 cases (2006); the mean over the study period was 4062.52 cases/year. The mean age of a patient with epiglottitis has remained relatively constant at 44.94 years over the study period; there are less frequent admissions in the 18 years and younger age cohorts, with an increase in the ages 45 to 64 years old and in patients over 85 years old. Mean length of stay is 4.15 days. Mean total charges for an admission of epiglottitis was $17,204.02 (standard deviation, $5,894). There was a trend toward increased total charges for the management of epiglottitis from total charges of $10,738.60 (1998) to $25,071.62 (2006). The South had a predominantly higher proportion of epiglottitis admissions during the study period. The gender distribution remained consistent over the study years at approximately 60:40 for males:female. Mortality remained constant at approximately 36 cases per year for a national mortality rate from epiglottitis of 0.89%. The month with the highest percentage of admissions was December; April was the month with the lowest. The majority of admissions were via the emergency department; patients were transferred in 2.88% of admissions. Over two thirds of admissions were Caucasian patients. Hospital level measures included the majority of patients were treated in an urban hospital location (82%); a minority (41%) were treated at a teaching hospital. Insurance status was private insurance in 50.02%, Medicare 20.84%, and Medicaid 12.46%. The proportion of patients that were intubated was 13.18%; 3.62% underwent a tracheotomy. Additional diagnoses in admitted patients included concomitant cardiovascular (38.75%), infectious (27.17%), respiratory (22.88%), diabetes (13.26%), and substance abuse (18.86%) diagnoses. CONCLUSIONS: An 8-year retrospective review of epiglottitis admissions revealed that epiglottitis continues to be a significant clinical entity in the United States. The portrait of a typical patient that will be admitted with epiglottitis is a mid-40-year-old, Caucasian, urban, male, with comorbid medical conditions, who will remain in the hospital on average for 4 days, resulting in total charges of $25,072 (2006 dollars). The majority of the mortalities are in adult patients. The majority of patients with epiglottitis has significant medical comorbid conditions and will be managed at the admitting hospital and not be transferred. This series identifies two newly recognized and uniquely vulnerable populations for epiglottitis: infants (<1 year old) and the elderly (patients >85 years old).

Psychiatric discharges in community hospitals with and without psychiatric units: how many and for whom?

OBJECTIVE: This study sought to describe the extent to which community hospitals, in a sample of states, are caring for patients with psychiatric disorders in medical-surgical beds (scatter beds) and to compare the characteristics of patients treated in scatter beds with those of patients treated in psychiatric units in community hospitals. METHODS: Information on hospital discharges in 12 states for patients with a principal psychiatric diagnosis was gathered from the Healthcare Cost and Utilization Project State Inpatient Databases. Discharges of patients who were treated in community hospital psychiatric units (N=370,984) were compared with those of patients who were treated in scatter beds (N=26,969). RESULTS: Overall, only 6.8% of discharges were from scatter beds. The rate of total psychiatric discharges per 10,000 total state population ranged from a high of 62.3 in one study state to a low of 9.6 in another. The average rate of scatter bed discharges per 10,000 state population ranged from 1.6 to 5.8, whereas the average rate of psychiatric unit discharges ranged from 7.4 to 58.9. A comparison of discharges of patients treated in scatter beds with discharges of patients treated in psychiatric units indicated that patients in scatter beds were more likely to have somatic conditions and were half as likely to have an accompanying substance use disorder. Discharge codes indicated that almost 40% of patients from scatter beds had a diagnosis of schizophrenia, episodic mood disorder, or depression; about two-thirds were admitted from emergency rooms; and about one-fifth were transferred to another facility. CONCLUSIONS: More research is needed to determine the optimal supply of psychiatric unit beds across regions and whether and how scatter beds should be used to address the lack of psychiatric beds.

Disparities between two common data sources on hospital nurse staffing.

PURPOSE: To compare nurse staffing measures derived from two widely used data sources: the American Hospital Association (AHA) Annual Survey of Hospitals and the California Office for Statewide Health Planning and Development (OSHPD). DESIGN: Descriptive cross-sectional study with measures of nurse staffing level and skill mix constructed from each database for 372 nonfederal, acute care hospitals in California. METHODS: Discrepancies in nurse staffing estimates between the two databases were examined. Relationships of nurse staffing with risk-adjusted patient outcomes (decubitus ulcer, failure to rescue, and mortality) were assessed through multivariate analyses and compared for nursing measures derived from the two databases. FINDINGS: For small, rural, or nonteaching hospitals, AHA reported substantially higher registered nurse (RN) hours per patient day than did OSHPD. RN proportion among licensed nurses matched most closely in the two databases. RN hours per patient day derived from both databases showed significant inverse relationships with decubitus ulcer and mortality, and the association was stronger for the measure based on the OSHPD data. RN proportion derived from the OSHPD data was significantly associated with all three patient outcomes, but the AHA measure had a significant relationship only with decubitus ulcer. CONCLUSIONS: Compared with the AHA survey, the OSHPD data on hospital nurse staffing appear to be more complete and also were more closely associated with patient outcomes. Efforts to refine the AHA survey as a national database for nurse staffing will significantly enhance the capacity for monitoring nurse workforce and its effect on quality of care.