Relationship of nursing home staffing to quality of care

OBJECTIVE: To compare nursing homes (NHs) that report different staffing statistics on quality of care. DATA SOURCES: Staffing information generated by California NHs on state cost reports and during onsite interviews. Data independently collected by research staff describing quality of care related to 27 care processes. STUDY DESIGN: Two groups of NHs (n=21) that reported significantly different and stable staffing data from all data sources were compared on quality of care measures. DATA COLLECTION: Direct observation, resident and staff interview, and chart abstraction methods. PRINCIPAL FINDINGS: Staff in the highest staffed homes (n=6), according to state cost reports, reported significantly lower resident care loads during onsite interviews across day and evening shifts (7.6 residents per nurse aide [NA]) compared to the remaining homes that reported between 9 to 10 residents per NA (n=15). The highest-staffed homes performed significantly better on 13 of 16 care processes implemented by NAs compared to lower-staffed homes. CONCLUSION: The highest-staffed NHs reported significantly lower resident care loads on all staffing reports and provided better care than all other homes.     

Hospital staffing, organization, and quality of care: cross-national findings.

OBJECTIVE: To examine the effects of nurse staffing and organizational support for nursing care on nurses' dissatisfaction with their jobs, nurse burnout, and nurse reports of quality of patient care in an international sample of hospitals. DESIGN: Multisite cross-sectional survey. SETTING: Adult acute-care hospitals in the United States (Pennsylvania), Canada (Ontario and British Columbia), England, and Scotland. STUDY PARTICIPANTS: 10 319 nurses working on medical and surgical units in 303 hospitals across the five jurisdictions. INTERVENTIONS: None. MAIN OUTCOME MEASURES: Nurse job dissatisfaction, burnout, and nurse-rated quality of care. RESULTS: Dissatisfaction, burnout, and concerns about quality of care were common among hospital nurses in all five sites. Organizational/managerial support for nursing had a pronounced effect on nurse dissatisfaction and burnout, and both organizational support for nursing and nurse staffing were directly, and independently, related to nurse-assessed quality of care. Multivariate results imply that nurse reports of low quality care were three times as likely in hospitals with low staffing and support for nurses as in hospitals with high staffing and support. CONCLUSION: Adequate nurse staffing and organizational/managerial support for nursing are key to improving the quality of patient care, to diminishing nurse job dissatisfaction and burnout and, ultimately, to improving the nurse retention problem in hospital settings.     

Hospital nurse practice environments and outcomes for surgical oncology patients

Objective. To examine the effect of nursing practice environments on outcomes of hospitalized cancer patients undergoing surgery.
Data Sources. Secondary analysis of cancer registry, inpatient claims, administrative and nurse survey data collected in Pennsylvania for 1998–1999.
Study Design. Nurse staffing (patient to nurse ratio), educational preparation (proportion of nurses holding at least a bachelor's degree), and the practice environment (Practice Environment Scale of the Nursing Work Index) were calculated from a survey of nurses and aggregated to the hospital level. Logistic regression models predicted the odds of 30-day mortality, complications, and failure to rescue (death following a complication).
Principal Findings. Unadjusted death, complication, and failure to rescue rates were 3.4, 35.7, and 9.3 percent, respectively. Nurse staffing and educational preparation of registered nurses were significantly associated with patient outcomes. After adjusting for patient and hospital characteristics, patients in hospitals with poor nurse practice environments had significantly increased odds of death (odds ratio, 1.37; 95 percent confidence interval, 1.07–1.76) and of failure to rescue (odds ratio, 1.48; 95 percent confidence interval, 1.07–2.03). Receipt of care in National Cancer Institute-designated cancer centers significantly decreased the odds of death, which can be explained partly by better nurse practice environments.
Conclusions. This study is one of the first to examine the predictive validity of the National Quality Forum's endorsed measure of the nurse practice environment. Improvements in the quality of nurse practice environments could reduce adverse outcomes for hospitalized surgical oncology patients.     

Hospital restructuring and the work of registered nurses

American hospitals have undergone three waves of organizational restructuring in the past two decades. These changes have had direct effects on a key set of employees--nurses. A review of the relevant literature to identify the ways in which hospital restructuring affects the work of registered nurses focuses on three important structural characteristics of nursing work: nurses' work roles, workload, and control of work. The review concludes that the impact of restructuring on each of the characteristics affects nurses' satisfaction with their work and may also affect the quality of patient care. While much of the policy debate around restructuring focuses on the extent to which reductions in nurse staffing levels affects quality of care, it is important to examine not only changes in nurse staffing levels, but changes in the work performed by registered nurses, as well.     

Patient turnover and nursing staff adequacy

OBJECTIVE: To assess the relative validity of patient turnover adjustments and the difference in nurse staffing using measures that adjust for patient turnover and severity versus those that do not. DATA SOURCES: Numbers of registered nurses (RNs), adjusted patient days of care (APDC), length of stay, and patient severity information from acute care general hospitals in Pennsylvania 1994-2001, obtained from the Pennsylvania Department of Health, the American Hospital Association, and the Atlas MediQual system. STUDY DESIGN: After examining the trends in patient turnover and severity and their relationship to RN staffing, we apply two-patient turnover indices, with and without patient severity adjustments, to RN staffing measures, and test the difference between the original and adjusted measures using paired sample t-tests. DATA EXTRACTION METHODS: Data sets were match merged by hospital ID, and patient turnover and severity indices were created, using 1994 as the base year. RN staffing measures were developed using unadjusted APDC, and APDC adjusted for patient turnover and both patient turnover and severity. PRINCIPAL FINDINGS: Patient turnover increased significantly from 1994 to 2001. The difference between RN staffing measures adjusted for patient turnover and severity and those not adjusted was increasingly significant from 1995 onward. Unadjusted RN staffing showed a 1 percent decline over the 8-year-period compared with decreases of from 9 to 26 percent after adjustments. CONCLUSIONS: These results indicate that the assessment of unadjusted RN staffing by RN to patient ratios alone underestimates nursing workload and overstates RN staffing levels. Patient turnover, as well as severity, should be taken into account in staffing assessment and decision making.     

Impact of nurse staffing level on emergency department market share

BACKGROUND: Emergency departments (EDs) function at the interface of complex systems of the hospital and play a critical role in safety net systems. Adequate level of nurse staffing is crucial in meeting patients' needs and assuring their safety in EDs. PURPOSES: This study examined the impact of nurse staffing on ED market shares. METHODOLOGY/APPROACH: Data were collected from 122 hospitals operating nationally designated emergency medical centers. Multiple regression analyses were conducted to explain ED market share with the nurse staffing level. FINDINGS: After controlling for hospital and regional characteristics, nurse staffing level significantly influenced market shares. Specifically, increasing one level from the baseline nurse staffing resulted in 29% higher ED market share. PRACTICE IMPLICATIONS: Higher nurse staffing level is sensitively linked to the higher market share in emergency care services. These findings provide an initiative for hospital managers and nurse administrators to recruit and retain more nurses for pursuing higher nurse staffing. Furthermore, continuous effort should be made to develop a high standard of establishing and maintaining an adequate level of nurse staffing.     

The staffing-outcomes relationship in nursing homes

OBJECTIVE: To assess longitudinally whether a change in registered nurse (RN) staffing and skill mix leads to a change in nursing home resident outcomes while controlling for the potential endogeneity of staffing. DATA SOURCES: Minimum Data Set (MDS) nursing home resident assessment data from five states merged with Online Survey Certification and Reporting (OSCAR) data from 1996 through 2000. STUDY DESIGN: Resident-level longitudinal analysis with facility fixed effects and instrumental variables. Outcomes studied are incidence of pressure sores and urinary tract infections. RN staffing was measured as the care hours per resident-day and skill mix was measured as RN staffing hours as a proportion of total staffing hours. DATA EXTRACTION METHOD: We use all quarterly MDS assessments that fall within 120 days of an annual OSCAR data point, resulting in 399,206 resident-level observations. PRINCIPAL FINDINGS: Controlling for endogeneity of staffing increases the estimated impact of staffing on outcomes in nursing homes. Greater RN staffing significantly decreases the likelihood of both adverse outcomes. Increasing skill mix only reduces the incidence of urinary tract infections. CONCLUSIONS: Research that fails to account for endogeneity of the staffing-outcomes relationship may underestimate the benefit from increased RN staffing. Increases in RN staffing are likely to reduce adverse outcomes in some nursing homes. More research using a broader array of instruments and a national sample would be beneficial.     

Nurse staffing,quality, and financial performance

In examining the relationship among nurse staffing, quality of care, and financial performance, prior empirical studies used competing measures and applied different levels of analysis. Using longitudinal data from 1990 through 1995, our study applied a dynamic econometric model to evaluate whether hospitals that changed their nurse staffing and quality of care affected their financial performance. Sampling 422 hospitals over this study period, we found a statistically significant increase in operating costs when registered nurse levels increase, but no statistically significant decrease in profit. Higher levels of non-nurse staffing caused higher operating expenses, as well as lower profits.     

Has the Medicare Prospective Payment System Led to Increased Nursing Home Efficiency?

RESEARCH OBJECTIVE: To assess the impact of recent Medicare prospective payment system (PPS) changes on efficiency in skilled nursing homes. DATA SOURCE/STUDY SETTING: Medicare Cost Reports (MCR), On-line Survey Certification and Reporting System (OSCAR), Area Resource Files (ARF), a Centers for Medicare and Medicaid Services (CMS) hospital wage index website, a Consumer Price Index (CPI) database, and a survey of state Medicaid reimbursement rates. The sample was 8,361 nursing homes in the Medicare Cost Report databases from the years 1997 to 2003. STUDY DESIGN: Data-envelopment analyses (DEA) calculated efficiency scores for three separate DEA models: unadjusted, acuity-adjusted, and acuity-and-quality-adjusted efficiency. The efficiency scores from these models were regressed on the Medicare PPS changes (the Balanced Budget Act [BBA], the Balanced Budget Refinement Act [BBRA] and the Benefits Improvement and Protection Act) and other organizational and market explanatory variables using a panel-data truncated regression. PRINCIPAL FINDINGS: Mean values for all efficiency measures decreased over time, the acuity-quality-adjusted efficiency measures decreasing the most. All policy variables were significantly negatively related to all efficiency measures. Higher nurse staffing was negatively related to efficiency in all but the acuity-quality-adjusted model. Other explanatory variables varied in their relationships to the efficiency variables. CONCLUSIONS: The results suggest that the reimbursement policy changes had a significantly negative impact on efficiency. Higher nurse staffing contributed to lower efficiency only when efficiency was not adjusted for quality. Various organizational and market factors also played significant roles in all efficiency models.     

Cost of hospital care for older adults with heart failure: medical, pharmaceutical, and nursing costs

OBJECTIVE: To determine the impact of patient characteristics, clinical conditions, hospital unit characteristics, and health care interventions on hospital cost of patients with heart failure. DATA SOURCES/STUDY SETTING: Data for this study were part of a larger study that used electronic clinical data repositories from an 843-bed, academic medical center in the Midwest. STUDY DESIGN: This retrospective, exploratory study used existing administrative and clinical data from 1,435 hospitalizations of 1,075 patients 60 years of age or older. A cost model was tested using generalized estimating equations (GEE) analysis. DATA COLLECTION/EXTRACTION METHODS: Electronic databases used in this study were the medical record abstract, the financial data repository, the pharmacy repository; and the Nursing Information System repository. Data repositories were merged at the patient level into a relational database and housed on an SQL server. PRINCIPAL FINDINGS: The model accounted for 88 percent of the variability in hospital costs for heart failure patients 60 years of age and older. The majority of variables that were associated with hospital cost were provider interventions. Each medical procedure increased cost by $623, each unique medication increased cost by $179, and the addition of each nursing intervention increased cost by $289. One medication and several nursing interventions were associated with lower cost. Nurse staffing below the average and residing on 2-4 units increased hospital cost. CONCLUSIONS: The model and data analysis techniques used here provide an innovative and useful methodology to describe and quantify significant health care processes and their impact on cost per hospitalization. The findings indicate the importance of conducting research using existing clinical data in health care.     

The influence of staffing characteristics on quality of care in nursing homes

OBJECTIVE: The influence staffing levels, turnover, worker stability, and agency staff had on quality of care in nursing homes was examined. DATA SOURCES/STUDY SETTING: Staffing characteristics came from a survey of nursing homes (N=1,071) conducted in 2003. The staffing characteristics were collected for Nurse Aides, Licensed Practical Nurses, and Registered Nurses. Fourteen quality indicators came from the Nursing Home Compare website report card and nursing home organizational characteristics came from the Online Survey, Certification, and Recording system. STUDY DESIGN: One index of quality (the outcome) was created by combining the 14 quality indicators using exploratory factor analysis. We used regression analyses to assess the effect of the four staffing characteristics for each of the three types of nursing staff on this quality index in addition to individual analyses for each of the 14 quality indicators. The effect of organizational characteristics as well as the markets in which they operated on outcomes was examined. We examined a number of different model specifications. PRINCIPAL FINDINGS: Quality of care was influenced, to some degree, by all of these staffing characteristics. However, the estimated interaction effects indicated that achieving higher quality was dependent on having more than one favorable staffing characteristic--the effect of quality was larger than the sum of the independent effects of each favorable staffing characteristic. CONCLUSIONS: Our results indicate that staff characteristics such as turnover, staffing levels, worker stability, and agency staff should be addressed simultaneously to improve the quality of nursing homes.     

A cost-effectiveness analysis of three staffing models for the delivery of low-risk prenatal care.

BACKGROUND. Health care costs are increasing at more than twice the rate of inflation, thus, public officials are seeking safe and economic methods to deliver quality prenatal care to poor pregnant women. This study was undertaken to determine the relationship between the cost and effectiveness of three prenatal clinic staffing models: physician based, mixed staffing, and clinical nurse specialist with physicians available for consultation. METHODS. Maternal and neonatal physiological outcome data were obtained from the hospital clinical records of 156 women attending these clinics. The women were then interviewed concerning their satisfaction with their prenatal care clinic. The financial officer from each clinic provided data on the clinic staffing costs and hours of service. RESULTS. There were no differences in outcomes for the maternal-neonatal physiological variables, although newborn admission to the Neonatal Intensive Care Unit (NICU) approached significance among the clinics. The clinic staffed by clinical nurse specialists had the greatest client satisfaction and the lowest cost per visit. CONCLUSIONS. The use of clinical nurse specialists might substantially reduce the cost of providing prenatal care while maintaining quality, and might thereby save valuable resources.     

Addressing measurement error bias in nurse staffing research

OBJECTIVE: To assess the extent of measurement error bias due to methods used to allocate nursing staff to the acute care inpatient setting and to recommend estimation methods designed to overcome this bias. DATA SOURCES/STUDY SETTING: Secondary data obtained from the California Office of Statewide Health Planning and Development (OSHPD) and the Centers for Medicare and Medicaid Services' Healthcare Cost Report Information System for 279 general acute care hospitals from 1996 to 2001. STUDY DESIGN: California OSHPD provides detailed nurse staffing data for acute care inpatients. We estimate the measurement error and the resulting bias from applying different staffing allocation methods. Estimates of the measurement errors also allow insights into the best choices for alternate estimation strategies. PRINCIPAL FINDINGS: The bias induced by the adjusted patient days method (and its modification) is smaller than for other methods, but the bias is still substantial: in the benchmark simple regression model, the estimated coefficient for staffing level on quality of care is expected to be one-third smaller than its true value (and the bias is larger in a multiple regression model). Instrumental variable estimation, using one staffing allocation measure as an instrument for another, addresses this bias, but only particular choices of staffing allocation measures and instruments are suitable. CONCLUSIONS: Staffing allocation methods induce substantial attenuation bias, but there are easily implemented estimation methods that overcome this bias.     

Do Hospital Length of Stay and Staffing Ratio Affect Elderly Patients' Risk of Readmission? A Nation‐wide Study of Norwegian Hospitals

OBJECTIVE: To test whether there is an association between hospital operating conditions such as average length of stays (LOS) and staffing ratio, and elderly patients' risk of readmission. DATA SOURCES: The main data source was a national patient database of admissions to all acute-care Norwegian hospitals during the year of 1996. STUDY DESIGN: It is a cross-sectional study, where Cox' regression analysis was used to test the factors acting on the probability of early unplanned readmission (within 30 days), and later occuring ones. The principal hospital variables included average hospital LOS and staffing ratio (discharges per man-years of personnel). Adjusting patient variables in the model included age, gender, and cost-weights of the Diagnosis Related Groups (DRGs). DATA EXTRACTION METHODS: The selected material included discharges from 59 hospitals, and 113,055 elderly patients (> or = 67 years). Multiple admissions to the same hospital were linked together chronologically, and additional hospital data were matched on. To maximize the association between the index stay and the defined outcome (unplanned readmission), no intervening planned admission was accepted. PRINCIPAL FINDINGS: Being admitted to a hospital with relatively short average LOS increased the patient's risk of early readmission significantly. In addition it was found that more intensive care (more staff) could have a compensatory effect. Furthermore, the predictive factors were shown to be time dependent, as hospital variables had much less impact on readmissions occurring late (within 90-180 days). CONCLUSIONS: The results give support to the assumption of a link between hospital operating conditions and patient outcome.     

The impact of HMO penetration on the relationship between nurse staffing and quality

While there are a number of studies examining the relationship between nurse staffing and quality, none has examined structural differences in the relationship between nurse staffing and quality contingent upon the level of managed care penetration. We used administrative data, and a dynamic panel data model to examine this relationship in a panel of 422 acute care hospitals from 1990 to 1995. We found that there were significant differences in the relationship between nurse staffing and both mortality and length of stay depending upon the level of HMO penetration in the hospital's market.     

Market reform in New Jersey and the effect on mortality from acute myocardial infarction

OBJECTIVE: To determine whether mortality rates for patients with acute myocardial infarction (AMI) changed in New Jersey after implementation of the Health Care Reform Act, which reduced subsidies for hospital care for the uninsured and changed hospital payment to price competition from a rate-setting system based on hospital cost. DATA SOURCES/STUDY SETTING: Patient discharge data from hospitals in New Jersey and New York from 1990 through 1996 and the Healthcare Cost and Utilization Project (HCUP) Nationwide Inpatient Sample (NIS). STUDY DESIGN: A comparison between states over time of unadjusted and risk-adjusted mortality and cardiac procedure rates. DATA COLLECTION: Discharge data were obtained for 286,640 patients with the primary diagnosis of AMI admitted to hospitals in New Jersey or New York from 1990 through 1996. Records of 364,273 NIS patients were used to corroborate time trends. PRINCIPAL FINDINGS: There were no significant differences in AMI mortality among insured patients in New Jersey relative to New York or the NIS. However, there was a relative increase in mortality of 41 to 57 percent among uninsured New Jersey patients post-reform, and their rates of expensive cardiac procedures decreased concomitantly. CONCLUSIONS: The introduction of hospital price competition and reductions in subsidies for hospital care of the uninsured were associated with an increased mortality rate among uninsured New Jersey AMI patients. A relative decrease in the use of cardiac procedures in New Jersey may partly explain this finding. Additional studies should be done to identify whether other market reforms have been associated with changes in the quality of care.     

Hospital competition, managed care, and mortality after hospitalization for medical conditions in California

OBJECTIVE: To assess the effect of hospital competition and health maintenance organization (HMO) penetration on mortality after hospitalization for six medical conditions in California. DATA SOURCE: Linked hospital discharge and vital statistics data for short-term general hospitals in California in the period 1994-1999. The study sample included adult patients hospitalized for one of the following conditions: acute myocardial infarction (N=227,446), hip fracture (N=129,944), stroke (N=237,248), gastrointestinal hemorrhage (GIH, N=216,443), congestive heart failure (CHF, N=355,613), and diabetes (N=154,837). STUDY DESIGN: The outcome variable was 30-day mortality. We estimated multivariate logistic regression models for each study condition with hospital competition, HMO penetration, hospital characteristics, and patient severity measures as explanatory variables. PRINCIPAL FINDINGS: Higher hospital competition was associated with lower 30-day mortality for three to five of the six study conditions, depending on the choice of competition measure, and this finding was robust to a variety of sensitivity analyses. Higher HMO penetration was associated with lower mortality for GIH and CHF. CONCLUSIONS: Hospitals that faced more competition and hospitals in market areas with higher HMO penetration provided higher quality of care for adult patients with medical conditions in California. Studies using linked hospital discharge and vital statistics data from other states should be conducted to determine whether these findings are generalizable.     

Impact of managed care on the treatment, costs, and outcomes of fee-for-service Medicare patients with acute myocardial infarction

OBJECTIVE: To examine the effects of market-level managed care activity on the treatment, cost, and outcomes of care for Medicare fee-for-service acute myocardial infarction (AMI) patients. DATA SOURCES/STUDY SETTING: Patients from the Cooperative Cardiovascular Project (CCP), a sample of Medicare beneficiaries discharged from nonfederal acute-care hospitals with a primary discharge diagnosis of AMI from January 1994 to February 1996. STUDY DESIGN: We estimated models of patient treatment, costs, and outcomes using ordinary least squares and logistic regression. The independent variables of primary interest were market-area managed care penetration and competition. The models included controls for patient, hospital, and other market area characteristics. DATA COLLECTION/EXTRACTION METHODS: We merged the CCP data with Medicare claims and other data sources. The study sample included CCP patients aged 65 and older who were admitted during 1994 and 1995 with a confirmed AMI to a nonrural hospital. PRINCIPAL FINDINGS: Rates of revascularization and cardiac catheterization for Medicare fee-for-service patients with AMI are lower in high-HMO penetration markets than in low-penetration ones. Patients admitted in high-HMO-competition markets, in contrast, are more likely to receive cardiac catheterization for treatment of their AMI and had higher treatment costs than those admitted in low-competition markets. CONCLUSIONS: The level of managed care activity in the health care market affects the process of care for Medicare fee-for-service AMI patients. Spillovers from managed care activity to patients with other types of insurance are more likely when managed care organizations have greater market power.