Nursing facility staffing in the states: the 1991 to 1995 period

Considering the new minimum staffing standards for Australian residential aged care

ObjectiveTo compare the historical staffing patterns and organisational characteristics of Australian residential aged care facilities (RACFs) against the new minimum staffing standards recommended by the Royal Commission into Aged Care Quality and Safety (RCACQS).MethodRetrospective data analysis was used to compare the staffing levels and characteristics of 1705 RACFs (for 4 years, 2016-19) with the three new mandatory staffing requirements. De-identified datasets were provided by the RCACQS, obtained under its legal authority.ResultsOnly 3.8% of RACFs have staffing levels at or above all three requirements. Although many (79.7%) already meet the requirement to have a registered nurse (RN) on-site for morning and afternoon shifts, few have staffing levels above requirements for total direct care per resident per day (10.4%) or care provided by an RN per resident per day (11.1%). Historical levels of on-site RNs, total direct care, and RN care vary significantly across facilities of different size, location and provider scale.ConclusionThe new staffing standards, to be mandatory by 2023, prescribe minimum requirements significantly higher than existing levels, particularly in care per resident per day. Each of the three requirements will likely have a differential effect for different types of RACFs.What is known about the topic?International evidence suggests that introducing mandatory minimum staffing standards tends to increase the amount of care provided by staff in residential aged care facilities (RACFs). However, the impact of staffing standards is influenced by the stringency of the minimum threshold relative to existing staffing levels, the capacity of organisations to increase their staffing levels, and the specific way the regulation is formulated.What does this paper add?This paper explores the potential implications of the three national minimum staffing standards, to be in force by October 2023, specifying total direct care, care received by a registered nurse (RN), and an RN on-site. By examining the existing staffing levels of Australian RACFs, it identifies the extent to which facilities already meet the new standards and the characteristics of facilities with staffing levels above and below the three requirements (individually and in combination).What are the implications for practitioners?The study informs both policy and practice in relation to the likely effects of implementing the national minimum staffing standards for residential aged care in Australia. It demonstrates that the new minimum thresholds are likely to require substantial increases in staffing across the sector, both in terms of all direct care workers and RNs. It also shows that the three requirements are likely to have a differential effect for RACFs of different size, location and chain affiliation, thereby guiding policy about the future needs for Australia's aged care workforce.

Smoke without Fire: Nursing Facility Closures in California, 1997–2001

This paper draws from a rich longitudinal California data set to analyze the scope and nature of nursing home closures between 1997 and 2001, and to present a Cox proportionate hazards model of the risks of closure that arise from a range of facility and market characteristics. When compared with the sample total of 1,482 facilities operating in the baseline year of 1997, only 56 facilities closed through 2001, involving the loss of 3.8% of facilities and 2,915 beds (2.3%). The multivariate Cox model of factors associated with closure reports that: 1) hospital-based facilities are 600% more likely to close than are free-standing homes; 2) reducing bed size by one standard deviation (52 beds) increases the risk of closure by 460%; 3) facilities with losses of 5% or worse are more than twice as likely to close; and 4) a one-standard deviation increase in the spare bed capacity measure of county competition raises the risk of facility closure by 140%.

Nursing Homes with Persistent High and Low Quality

This article examines the concentration of low- and high-quality care within particular nursing facilities over time. The authors explore three different explanations for persistent low and high quality over time including the level of public reimbursement, the presence of bed constraint policies such as certificate-of-need and construction moratoria, and the role of consumer information. Using 1991 through 1999 data from the On-Line Survey, Certification, and Reporting system, the authors show that both low- and high-quality nursing home care is concentrated in certain facilities over time. Their results further show that public reimbursement and asymmetric information are both important factors in explaining why low quality persists over time in certain facilities.

The Use of Contract Licensed Nursing Staff in U.S. Nursing Homes

The extent to which nursing homes rely on the use of contracted licensed staff, factors associated with this staffing practice, and the resultant effect on the quality of resident care has received little public attention. Merging the On-line Survey Certification and Reporting System database with the Area Resource File from 1992 through 2002, the authors regressed organizational and market-level variables on the use of 5 percent or more contract full-time equivalent registered nurses and licensed practical nurses. Since 1997, the proportion of facilities using 5 percent or more contract licensed staff more than tripled. Use of contract nurses was associated with more deficiency citations, characteristics of poorer facilities, and tight labor markets. Nursing homes increasingly rely on contract nurses. The failure of nursing homes to attract and retain a competent, stable workforce creates a vicious cycle of staffing practices, which may lead to decline in quality of care.

Nursing Home Deficiencies in the United States

This is a confirmatory factor analysis (CFA) of deficiencies in nursing homes obtained from the On-line Survey Certification and Reporting system (OSCAR), a national database on nursing home quality maintained by the U.S. Health Care Financing Administration (HCFA). A major goal was to identify a core set of items that would reliably reflect a meaningful set of dimensions of problems in quality of care. The analysis suggests that it is reasonable to posit a model of eight underlying factors to which state surveyors are responding as they assign deficiencies to nursing homes. Forty items are robust indicators of the eight dimensions of problems in quality of care. The data contain considerable random and probably systematic error worth understanding. Establishing that the data contain systematic variability is crucial because OSCAR data are a potentially valuable source of quality of care information for researchers, policymakers, and consumers.

The Impact of State Nursing Home Staffing Standards on Nurse Staffing Levels

This study investigated the impact of state nursing home staffing standards on nurse staffing levels for the year 2011. Specifically, the study attempted to measure state staffing standards at facility level (i.e., nurse staffing levels that each individual nursing home must retain by its state staffing standards) and analyzed the policy impact. The study findings indicated that state staffing standards for the categories of registered nurse, licensed nurse, or total nurse are positively related to registered nurse, licensed nurse, or total nurse staffing levels, respectively. Nursing homes more actively responded to licensed staffing requirements than total staffing requirements. However, nursing homes did not increase their staffing levels as much as those required by state staffing standards. It is possibly because the quality-oriented inspection allows flexibility in nursing homes’ control of nurse staffing levels.

Intended and unintended consequences of minimum staffing standards for nursing homes

Staffing is the dominant input in the production of nursing home services. Because of concerns about understaffing in many US nursing homes, a number of states have adopted minimum staffing standards. Focusing on policy changes in California and Ohio, this paper examined the effects of minimum nursing hours per resident day regulations on nursing home staffing levels and care quality. Panel data analyses of facility-level nursing inputs and quality revealed that minimum staffing standards increased total nursing hours per resident day by 5% on average. However, because the minimum staffing standards treated all direct care staff uniformly and ignored indirect care staff, the regulation had the unintended consequences of both lowering the direct care nursing skill mix (i.e., fewer professional nurses relative to nurse aides) and reducing the absolute level of indirect care staff. Overall, the staffing regulations led to a reduction in severe deficiency citations and improvement in certain health conditions that required intensive nursing care.

Medicaid capital reimbursement policy and environmental artifacts of nursing home culture change

PURPOSE OF THE STUDY

To examine how Medicaid capital reimbursement policy is associated with nursing homes (NHs) having high proportions of private rooms and small households.

DESIGN AND METHODS

Through a 2009/2010 NH national survey, we identified NHs having small households and high proportions of private rooms (≥76%). A survey of state Medicaid officials and policy document review provided 2009 policy data. Facility- and county-level covariates were from Online Survey, Certification and Reporting, the Area Resource File, and aggregated resident assessment data (minimum data set). The policy of interest was the presence of traditional versus fair rental capital reimbursement policy. Average Medicaid per diem rates and the presence of NH pay-for-performance (p4p) reimbursement were also examined. A total of 1,665 NHs in 40 states were included. Multivariate logistic regression analyses (with clustering on states) were used.

RESULTS

In multivariate models, Medicaid capital reimbursement policy was not significantly associated with either outcome. However, there was a significantly greater likelihood of NHs having many private rooms when states had higher Medicaid rates (per $10 increment; adjusted odds ratio [AOR] 1.13; 95% CI 1.049, 1.228), and in states with versus without p4p (AOR 1.78; 95% CI 1.045, 3.036). Also, in states with p4p NHs had a greater likelihood of having small households (AOR 1.78; 95% CI 1.045, 3.0636).

IMPLICATIONS

Higher NH Medicaid rates and reimbursement incentives may contribute to a higher presence of 2 important environmental artifacts of culture change-an abundance of private rooms and small households. However, longitudinal research examining policy change is needed to establish the cause and effect of the associations observed.

Changes in nursing home staffing levels, 1997 to 2007

A positive relationship has been demonstrated between the quality of care delivered in nursing homes and the quality of nursing staff providing the care. The general perception, however, is that there is a decline in registered nurses' staff hours in nursing homes. The primary objective of this study is to investigate whether the levels of registered nurses (RNs), licensed practical nurses (LPNs), and nursing assistants (NAs) as well as skill mix has changed in nursing homes between the years 1997 and 2007. A descriptive research design was employed on data derived from Online Survey Certification and Reporting System database. After accounting for facility size and ownership, it was found that more nursing homes have increased-rather than decreased-LPN and NA hours per resident day between 1997 and 2007. On the other hand, more nursing homes have decreased-rather than increased-RN hours per resident day and skill mix during the same time period.

Antidepressant treatment of depression in rural nursing home residents

Under-diagnosis and under-treatment of depression are major problems in nursing home residents. The purpose of this study was to determine antidepressant use among nursing home residents who were diagnosed with depression using three different methods: (1) the Geriatric Depression Scale, (2) Minimum Data Set, and (3) primary care provider assessments. As one would expect, the odds of being treated with an antidepressant were about eight times higher for those diagnosed as depressed by the primary care provider compared to the Geriatric Depression Scale or the Minimum Data Set. Men were less likely to be diagnosed and treated with antidepressants by their primary care provider than women. Depression detected by nurses through the Minimum Data Set was treated at a lower rate with antidepressants, which generates issues related to interprofessional communication, nursing staff communication, and the need for geropsychiatric role models in nursing homes.

Prevalence and treatment of diagnosed depression among elderly nursing home residents in Ohio

OBJECTIVES

To examine the prevalence and treatment of diagnosed depression among elderly nursing home residents and determine the resident and facility characteristics associated with diagnosis and treatment.

DESIGN, SETTING, AND PARTICIPANTS

Documented depression, pharmacotherapy, psychotherapy, sociodemographics, and medical characteristics were obtained from Ohio's Minimum Data Set for 76 735 residents in 921 nursing homes. The data were merged with Online Survey Certification and Reporting System data to study the impact of facility characteristics. Chi-squared statistics were used to test group differences in depression diagnosis and treatment. Multiple logistic regressions were used to examine the prevalence of diagnosed depression, and among those diagnosed, of receiving any treatment.

RESULTS

There were 48% of residents who had an active depression diagnosis; among those diagnosed, 23% received no treatment; 74% received antidepressants; 0.5% received psychotherapy; and 2% received both. African Americans, the severely cognitively impaired, and those in government facilities were less likely to be diagnosed. Residents aged 85 and older, African Americans, individuals with severe mental illness, those with severe ADL or cognitive impairment, and individuals living in a facility with 4 or more deficiencies were less likely to receive treatment.

CONCLUSION

Significant disparities exist both in diagnosis and treatment of depression among elderly residents. Disadvantaged groups such as African Americans and residents with physical and cognitive impairments are less likely to be diagnosed and treated. Our results indicate that work needs to be done in the nursing home environment to improve the quality of depression care for all residents.

Nurse staffing levels and Medicaid reimbursement rates in nursing facilities

OBJECTIVE

To examine the relationship between nursing staffing levels in U.S. nursing homes and state Medicaid reimbursement rates.

DATA SOURCES

Facility staffing, characteristics, and case-mix data were from the federal On-Line Survey Certification and Reporting (OSCAR) system and other data were from public sources.

STUDY DESIGN

Ordinary least squares and two-stage least squares regression analyses were used to separately examine the relationship between registered nurse (RN) and total nursing hours in all U.S. nursing homes in 2002, with two endogenous variables: Medicaid reimbursement rates and resident case mix.

PRINCIPAL FINDINGS

RN hours and total nursing hours were endogenous with Medicaid reimbursement rates and resident case mix. As expected, Medicaid nursing home reimbursement rates were positively related to both RN and total nursing hours. Resident case mix was a positive predictor of RN hours and a negative predictor of total nursing hours. Higher state minimum RN staffing standards was a positive predictor of RN and total nursing hours while for-profit facilities and the percent of Medicaid residents were negative predictors.

CONCLUSIONS

To increase staffing levels, average Medicaid reimbursement rates would need to be substantially increased while higher state minimum RN staffing standards is a stronger positive predictor of RN and total nursing hours.

California nursing facility quality and union environments

OBJECTIVE

Many studies have examined quality effects of nursing facility (NF) staffing, but few have examined effects of unionization. Concerned with possible effects of unionization on quality, we analyzed unionization and local market climate of unionization, predicting both complaints (reflecting either quality problems or better monitoring and advocacy) and the substantiation of serious complaints (indicating major quality problems).

METHOD

Data were analyzed on California freestanding NFs in 1999 (N = 1,155). OLS regression was employed to predict both quality complaints and serious violations, the latter both controlling and not controlling for numbers of complaints.

RESULTS

Unionized NFs showed more complaints than did non-unionized NFs. Non-unionized NFs had more serious violations, particularly when the proportion of other county facilities unionized was higher.

DISCUSSION

These findings suggest that unionization enhances problem reporting while, especially in stronger union environments, reducing the incidence of serious quality violations.

Nursing Staffing and Resident Outcomes in Nursing Homes

A secondary analysis of the Minimum Data Set and Online Survey, Certification, and Reporting databases was used to examine the relationships between nursing staffing and the nursing home resident outcomes of weight loss and dehydration. If a facility had 3 or more hours of nursing assistant time versus those that had less than 3 hours, there was an associated odds ratio of 0.83 (P = .0078). Nursing assistant staffing affected the quality outcome of weight loss. Residents receiving at least 3 hours per day of nursing assistant care had a 17% decreased likelihood of weight loss.

Systematic Review of Studies of Staffing and Quality in Nursing Homes

PURPOSE

To evaluate a range of staffing measures and data sources for long-term use in public reporting of staffing as a quality measure in nursing homes.

METHOD

Eighty-seven research articles and government documents published from 1975 to 2003 were reviewed and summarized. Relevant content was extracted and organized around 3 themes: staffing measures, quality measures, and risk adjustment variables. Data sources for staffing information were also identified.

RESULTS

There is a proven association between higher total staffing levels (especially licensed staff) and improved quality of care. Studies also indicate a significant relationship between high turnover and poor resident outcomes. Functional ability, pressure ulcers, and weight loss are the most sensitive quality indicators linked to staffing. The best national data sources for staffing and quality include the Minimum Data Set (MDS) and On-line Survey and Certification Automated Records (OSCAR). However, the accuracy of this self-reported information requires further reliability and validity testing.

CONCLUSIONS

A nationwide instrument needs to be developed to accurately measure staff turnover. Large-scale studies using payroll data to measure staff retention and its impact on resident outcomes are recommended. Future research should use the most nurse-sensitive quality indicators such as pressure ulcers, functional status, and weight loss.

Interdisciplinary care planning and the written care plan in nursing homes: a critical review

PURPOSE

This article is a critical review the history, research evidence, and state-of-the-art technology in interdisciplinary care planning and the written plan of care in American nursing homes.

DESIGN AND METHODS

We reviewed educational and empirical literature.

RESULTS

Interdisciplinary care planning and the written care plan are mandated processes that are imbedded in the regulatory fabric and routines of the American nursing home. These processes evolved from the discipline of nursing, where care planning has had a long and controversial history.

IMPLICATIONS

Practice implications are provided.

Nursing home staffing standards: their relationship to nurse staffing levels

PURPOSE

This study reviews staffing standards from the 50 states and the District of Columbia to determine if these standards are related to nursing home staffing levels.

DESIGN AND METHODS

Rules and regulations for states' nursing home staffing standards were obtained for the 50 states and the District of Columbia. Nurse staffing data were obtained from the Centers for Medicare and Medicaid Services On-Line Survey, Certification, and Reporting (known as OSCAR) database. The minimum hours per resident day (HPRD) staffing standards for each state were categorized according to the following: no state-specific HPRD standard (adheres only to federal staffing guidelines); low HPRD standard (< or = 2.5 HPRD); and high HPRD standard (> 2.5 HPRD). A series of hierarchical linear models examined the relationships between state staffing standards and actual facility staffing (total, licensed, and certified nurse aide HPRD), using a number of covariates.

RESULTS

The variance in facility staffing was much greater within than between states. Facilities in states with high staffing standards had somewhat higher staffing than states with no standards or low standards, whereas facility staffing in states with low standards was not significantly different from that in states with no standards. Other factors, such as resident acuity and average state Medicaid rate, also were related to staffing.

IMPLICATIONS

State staffing standards may not be effective policy tools because they are only one of many factors that affect facility staffing levels. Setting a low minimum HPRD standard may fail to raise staffing, or it may even have a dampening effect on staffing rates in facilities.

Chain Reaction

This paper reports on an exploratory study of nursing home bankruptcy. From state and industry data regarding nearly 1,000 California facilities, it was possible to identify 155 homes in five chains (multi-facility organizations) that were operating in bankruptcy in 2000. When compared with facilities in non-bankrupt chains, while the bankrupt chain facilities had significantly worse financial liquidity, higher administrative costs, and higher payables to related parties, they also had more Medicare residents, fewer Medicaid residents, better solvency, and were located in less competitive county markets and in areas with higher Medicaid reimbursement rates. These findings indicate that, rather than facility characteristics and local market factors, strategic decisions taken at the corporate (chain) level are the major determinants of nursing facility bankruptcy status.

The Employment of Nurse Practitioners and Physician Assistants in U.S. Nursing Homes

PURPOSE

Nursing facilities with nurse practitioners or physician assistants (NPs or PAs) have been reported to provide better care to residents. Assuming that freestanding nursing homes in urban areas that employ these professionals are making an investment in medical infrastructure, we test the hypotheses that facilities in states with higher Medicaid rates, and those in more competitive markets and markets with higher managed care penetration, are more likely to employ NPs or PAs.

DESIGN AND METHODS

The Online Survey Certification and Reporting System (OSCAR) database, Area Resource File, and information from surveys of state policies from 1993 to 2002 are used to study the employment of NPs or PAs, using a cross-sectional time-series generalized estimating equation model with surveys nested within facilities, testing several market and state-policy effects while controlling for facility and market characteristics.

RESULTS

Throughout the 1990s the proportion of nursing facilities with NPs or PAs doubled, from less than 10% to over 20%. Facilities in states in the upper quartile of Medicaid reimbursement rates were 10% more likely to employ NPs or PAs. Facilities in more competitive markets, and in markets with higher managed care penetration, were more likely to employ NPs or PAs (adjusted odds ratio = 1.27, 1.20 respectively).

IMPLICATIONS

More generous state Medicaid nursing home reimbursement and higher competition may advance the investment in medical infrastructure, which in turn may positively affect the quality of care provided to nursing home residents.

Physician and nurse staffing in nursing homes: The role and limitations of the Online Survey Certification and Reporting (OSCAR) system

OBJECTIVES

To assess nursing home staffing data reported in the Online Survey Certification and Reporting (OSCAR) system database for research and policy.

DESIGN

Comparisons were made between OSCAR and a concurrent research survey of staffing data collected for the same facilities, using inter-rater agreement and correlation analyses.

SETTING

Freestanding nursing homes from New York State (NYS) in 1997 (N = 327).

MEASUREMENTS

Selected staffing variables were defined in comparable terms in both OSCAR and the NYS survey.

RESULTS

The two data sources were in substantial agreement on the reported availability of a full-time physician (other than medical director) and of a physician assistant or nurse practitioner (Kappa >0.7), and they correlated well in the full-time equivalent (FTE) number of such staff (Spearman correlation >0.6). The correlation was 0.8 for FTE registered nurses (RNs), 0.7 for licensed practical nurses (LPNs), and 0.8 for certified nurse aides (CNAs). In terms of average nurse hours per patient day, separately for RNs, LPNs, CNAs, and all combined, the correlation was relatively weak (between 0.3 and 0.6). Overall staffing levels tended to be lower in OSCAR than in NYS.

CONCLUSION

The OSCAR data are useful for exploring relationships between staffing and various quality of care outcomes, but may not be accurate enough on a case-specific basis, or to determine policy regarding minimal staffing levels using average nurse hours per patient day measures. More systematic and timely efforts are needed to refine the OSCAR content and survey methodology to document nursing home staffing information.

Nursing Home Characteristics and Potentially Preventable Hospitalizations of Long-Stay Residents

OBJECTIVES

To examine the association between having a nurse practitioner/physician assistant (NP/PA) on staff, other nursing home (NH) characteristics, and the rate of potentially preventable/avoidable hospitalizations of long-stay residents, as defined using a list of ambulatory care-sensitive (ACS) diagnoses.

DESIGN

Cross-sectional prospective study using Minimum Data Set (MDS) assessments, Centers for Medicare and Medicaid Services inpatient claims and eligibility records, On-line Survey Certification Automated Records, (OSCAR) and Area Resource File (ARP).

SETTING

Freestanding urban NHs in Maine, Kansas, New York, and South Dakota.

PARTICIPANTS

Residents of 663 facilities with a quarterly or annual MDS assessment in the 2nd quarter of 1997, who had a prior MDS assessment at least 160 days before, and who were not health maintenance organization members throughout 1997 (N=54,631).

MEASUREMENTS

A 180-day multinomial outcome was defined as having any hospitalization with primary ACS diagnosis, otherwise having been hospitalized, otherwise died, and otherwise remained in the facility.

RESULTS

Multilevel models show that facilities with NP/PAs were associated with lower hospitalization rates for ACS conditions (adjusted odds ratio (AOR)=0.83), but not with other hospitalizations. Facilities with more physicians were associated with higher ACS hospitalizations (ACS, AOR=1.14, and non-ACS, AOR=1.10). Facilities providing intravenous therapy, and those that operate a nurses' aide training program were associated with fewer hospitalizations of both types.

CONCLUSION

Employment of NP/PAs in NHs, the provision of intravenous therapy, and the operation of certified nurse assistant training programs appear to reduce ACS hospitalizations, and may be feasible cost-saving policy interventions.

A systems framework for evaluating nursing care quality in nursing homes

Given the ongoing concerns about the quality of care in nursing homes, a theoretical framework to guide a systems approach to quality is important. Existing frameworks either do not model causality, or do so in a linear fashion in which the actual linkages between components of quality may not be well specified. Through a review of frameworks for nursing home quality, and empirical studies on the subject, the authors construct a framework for nursing home quality that links contextual components of quality with structure, structure with process, and process with outcomes, focusing on nursing care quality. Intrastructural relationships and feedback mechanisms are also modeled. The framework is matched with a discussion of multilevel structural equation analysis for statistical application. Future research should expand the framework to include non-nursing components of quality.

Nursing home staffing, turnover, and case mix

This study examined the predictors of total nurse and registered nurse (RN) staffing hours per resident day separately in all free-standing California nursing homes (1,555), using staffing data from state cost reports in 1999. This study used a two-stage least squares model, taking into account nursing turnover rates, resident case mix levels, and other factors. As expected, total nurse and RN staffing hours were negatively associated with nurse staff turnover rates and positively associated with resident case mix. Facilities were resource dependent in that a high proportion of Medicare residents predicted higher staffing hours, and a higher proportion of Medicaid residents predicted lower staffing hours and higher turnover rates. Nursing assistant wages were positively associated with total nurse staffing hours. For-profit facilities and high-occupancy rate facilities had lower total nurse and RN staffing hours. Medicaid reimbursement rates and multifacility organizations were positively associated with RN staffing hours.

Designing a report card for nursing facilities: what information is needed and why

PURPOSE

This article presents a rationale and conceptual framework for making comprehensive consumer information about nursing facilities available. Such information can meet the needs of various stakeholder groups, including consumers, family/friends, health professionals, providers, advocates, ombudsman, payers, and policy makers.

DESIGN AND METHODS

The rationale and framework are based on a research literature review of key quality indicators for nursing facilities.

RESULTS

The findings show six key areas for information: (a) facility characteristics and ownership; (b) resident characteristics; (c) staffing indicators; (d) clinical quality indicators; (e) deficiencies, complaints, and enforcement actions; and (f) financial indicators. This information can assist in selecting, monitoring, and contracting with nursing facilities.

IMPLICATIONS

Model information systems can be designed using existing public information, but the information needs to be enhanced with improved data.

The Program of All-Inclusive Care for the Elderly (PACE): an innovative long-term care model in the United States

This article examines the long-term care service system in the United States, its problems, and an improved long-term care model. Problematic quality of care in institutional settings and fragmentation of service coordination in community-based settings are two major issues in the traditional long-term care system. The Program of All-Inclusive Care for the Elderly (PACE) has been emerging since the 1970s to address these issues, particularly because most frail elders prefer community-based to institutional care. The Balanced Budget Act of 1997 made PACE a permanent provider type under Medicare and granted states the option of paying a capitation rate for PACE services under Medicaid. The PACE model is a managed long-term care system that provides frail elders alternatives to nursing home life. The PACE program's primary goals are to maximize each frail elderly participant's autonomy and continued community residence, and to provide quality care at a lower cost than Medicare, Medicaid, and private-pay participants, who pay in the traditional fee-for-service system. In exchange for Medicare and Medicaid fixed monthly payments for each participating frail elder, PACE service systems provide a continuum of long-term care services, including hospital and nursing home care, and bear full financial risk. Integration of acute and long-term care services in the PACE model allows care of frail elders with multiple problems by a single service organization that can provide a full range of services. PACE's range of services and organizational features are discussed.

Who cares for older adults? Workforce implications of an aging society

There is a critical shortage of geriatrics-prepared health care professionals. In 2002 more than thirty-five million people were age sixty-five and older, and 23 percent of them reported poor or fair health. Older adults use 23 percent of ambulatory care visits and 48 percent of hospital days, and they represent 83 percent of nursing facility residents. Yet 58 percent of baccalaureate nursing programs have no full-time faculty certified in geriatric nursing. Only three of the nation's 145 medical schools have geriatrics departments, and less than 10 percent of these require a geriatrics course. We argue that every health care worker must have some education in geriatrics and access to geriatrics care experts.

Regulation of nursing facilities in the United States: an analysis of resources and performance of state survey agencies

PURPOSE

This study was undertaken to examine the resources, staffing, and performance of the state survey agencies that have primary responsibility for regulating nursing facilities-licensing them at a state level and certifying them for participation in Medicare and Medicaid on behalf of the Center for Medicare and Medicaid Services (CMS; formerly the Health Care Financing Administration).

DESIGN AND METHODS

A telephone and fax survey of survey agencies in all 50 states and the District of Columbia was used, supplemented by secondary data collected from CMS's On-Line Certification and Reporting (OSCAR) system.

RESULTS

Total state agency expenditures on nursing facility regulation in 2000 were $382.2 million, which is less than one half of 1% of the total expenditures on nursing facilities in the United States. About 3,000 full-time equivalent surveyors are employed to regulate more than 17,000 nursing facilities in the United States. Nursing facility licensing and certification dominates the work of state survey agencies, although they are responsible for regulating many other health care organizations. Spending has risen recently, but resource levels vary greatly across states, and most state agencies report significant funding shortfalls that impact on their ability to perform their regulatory function. On a range of indicators, the performance of state survey agencies varies fivefold. Some of that state variation is explained by differences in resource levels for regulation, but most is not.

IMPLICATIONS

State survey agencies probably need more funding to fulfill their responsibilities properly, but other changes are also needed to improve their performance, including more support and oversight by CMS and more effective regulatory design.

Does investor-ownership of nursing homes compromise the quality of care?

Quality problems have long plagued the nursing home industry. While two-thirds of U.S. nursing homes are investor-owned, few studies have examined the impact of investor-ownership on the quality of care. The authors analyzed 1998 data from inspections of 13,693 nursing facilities representing virtually all U.S. nursing homes. They grouped deficiency citations issued by inspectors into three categories ("quality of care," "quality of life," and "other") and compared deficiency rates in investor-owned, nonprofit, and public nursing homes. A multivariate model was used to control for case mix, percentage of residents covered by Medicaid, whether the facility was hospital-based, whether it was a skilled nursing facility for Medicare only, chain ownership, and location by state. The study also assessed nurse staffing. The authors found that investor-owned nursing homes provide worse care and less nursing care than nonprofit or public homes. Investor-owned facilities averaged 5.89 deficiencies per home, 46.5 percent higher than nonprofit and 43.0 percent higher than public facilities, and also had more of each category of deficiency. In the multivariate analysis, investor-ownership predicted 0.679 additional deficiencies per home; chain-ownership predicted an additional 0.633 deficiencies per home. Nurse staffing ratios were markedly lower at investor-owned homes.

Does investor ownership of nursing homes compromise the quality of care?

OBJECTIVES

Two thirds of nursing homes are investor owned. This study examined whether investor ownership affects quality.

METHODS

We analyzed 1998 data from state inspections of 13,693 nursing facilities. We used a multivariate model and controlled for case mix, facility characteristics, and location.

RESULTS

Investor-owned facilities averaged 5.89 deficiencies per home, 46.5% higher than nonprofit facilities and 43.0% higher than public facilities. In multivariate analysis, investor ownership predicted 0.679 additional deficiencies per home; chain ownership predicted an additional 0.633 deficiencies. Nurse staffing was lower at investor-owned nursing homes.

CONCLUSIONS

Investor-owned nursing homes provide worse care and less nursing care than do not-for-profit or public homes.

The impact of staffing and the organization of work on patient outcomes and health care workers in health care organizations

BACKGROUND

Numerous reports in the popular press express concern about the restructuring or lowering of staffing levels in health care organizations and the impact on the quality of patient care. Overtime and other extended shifts also represent work stresses for health care workers. This article reviews the research literature on the relationships among staffing, organization of work, and patient outcomes, and it discusses research findings on the relationship between staffing and the health of health care workers. RESEARCH ON STAFFING, ORGANIZATION, AND PATIENT OUTCOMES/STAFF WELL-BEING: Safe staffing level requirements have been identified for nursing homes, but only in extremely limited cases for hospitals, home care, or other health settings. There is little information about the impact of staffing levels and the organization of work on health personnel or on patient outcomes. There is almost no information about staffing and patient outcomes in home health and ambulatory care. Much of the research on staffing and quality has been discipline specific; future research should reflect the interdisciplinary nature of health care delivery rather than the impact of a particular occupation.

RESEARCH USE

Research is conducted to increase the scientific base per se and to inform decision making. Who should decide staffing levels and the organization of work? Professionals, employers/owners, the government, and consumers all have significant interest in staffing levels and the organization of care. Improving health care quality requires research about the critical staffing and organization of work variables. This requires obtaining appropriate data, conducting the research, and widely disseminating the findings.

Nursing home staffing and its relationship to deficiencies

OBJECTIVES

The authors examined the relationships between different types of nursing home staffing and nursing home deficiencies to test the hypothesis that fewer staff hours would be associated with higher numbers of deficiencies.

METHODS

Data were from the On-Line Survey, Certification, and Reporting System for all certified nursing homes in the United States. Regression models examined total deficiencies, quality of care, quality of life, and other deficiencies.

RESULTS

Fewer registered nurse hours and nursing assistant hours were associated with total deficiencies and quality of care deficiencies, when other variables were controlled. Fewer nursing assistant staff and other care staff hours were associated with quality of life deficiencies. Fewer administrative staff hours were associated with other deficiencies. Facilities that had more depressed and demented residents, that were smaller, and that were nonprofit or government-owned had fewer deficiencies. Facilities with more residents with urinary incontinence and pressure sores and with higher percentages of Medicaid residents had more deficiencies, when staffing and resident characteristics were controlled.

DISCUSSION

Facility characteristics and states were stronger predictors of deficiencies than were staffing hours and resident characteristics. Because only a small portion of the total variance in deficiencies could be explained, much work remains to explore factors that influence deficiencies.

Facility effects on racial differences in nursing home quality of care

This paper reviews the literature on racial/ethnic differences in nursing home quality, segregated access to nursing home care, and organizational and community factors that may influence access and quality of care. We present illustrative data on county demographics and the racial mix of African American residents in nursing homes in these counties for a sample of four states. We also briefly describe plans for multilevel modeling to test variation in racial/ethnic disparities in care as a function of nursing home structures and processes and community context.