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Purpose: This study had two goals: (a) to assess the validity of the Online Survey Certification and Reporting (OSCAR) staffing data by comparing them to staffing measures from audited Medicaid Cost Reports and (b) to identify systematic differences between facilities that over-report or underreport staffing in the OSCAR., Design and Methods: We merged the 2002 Texas Nursing Facility Cost Report, the OSCAR for Texas facilities surveyed in 2002, and the 2003 Area Resource File. We eliminated outliers in the OSCAR using three decision rules, resulting in a final sample size of 941 of the total of 1,017 non-hospital-based facilities. We compared OSCAR and Medicaid Cost Report staffing measures for three staff types. We examined differences between facilities that over-reported or underreported staffing levels in the OSCAR by using logistic regression., Results: Average staffing levels were higher in the OSCAR than in the Medicaid Cost Report data. The two sets of measures exhibited correlations ranging between 0.5 and 0.6. For-profit and larger facilities consistently over-reported registered nurse staffing levels. Factors associated with increased odds of over-reporting licensed vocational nursing or certified nursing assistant staffing were lower Medicare or Medicaid censuses and less market competition. Facility characteristics associated with over-reporting were consistent across different levels of over-reporting. Underreporting was much less prevalent., Implications: Certain types of facilities consistently over-report staffing levels. These reporting errors will affect the validity of consumer information systems, regulatory activities, and health services research results, particularly research using OSCAR data to examine the relationship between staffing and quality. Results call for a more accurate reporting system.

Purpose: The U.S. Department of Veterans Affairs has adopted two functional assessment systems that guide care planning: one for nursing home residents (the Resident Assessment Instrument [RAI]) and a compatible one for home care clients (RAI-HC). The purpose of this article is to describe the RAI-HC (often referred to as the Minimum Data Set-Home Care or MDS-HC) and its uses and offer lessons learned from implementation experiences in other settings., Design and Methods: We reviewed implementation challenges associated both with the RAI and the RAI-HC in the United States, Canada, and other adopter countries, and drew on these to suggest lessons for the Department of Veterans Affairs as well as other entities implementing the RAI-HC., Results: Beyond its clinical utility, there are a number of evidence-based uses for the assessment system. The resident-level data can be aggregated and analyzed, and scales identify clinical conditions and risk for various types of negative outcomes. In addition, the data can be used for other programmatic and research purposes, such as determining eligibility, setting payment rates for contract care, and evaluating clinical interventions. At the same time, there are a number of implementation challenges the Department of Veterans Affairs and other organizations may face., Implications: Policy makers and program managers in any setting, including state long-term-care programs, who wish to implement an assessment system must anticipate and address a variety of implementation problems with a clear and consistent message from key leadership, adequate training and clinical support for assessors, and appropriate planning and resources for data systems.

Purpose: We examined the effects of facility and market-level characteristics on staffing levels and turnover rates for direct care staff, and we examined the effect of staff turnover on staffing levels., Design and Methods: We analyzed cross-sectional data from 1,014 Texas nursing homes. Data were from the 2002 Texas Nursing Facility Medicaid Cost Report and the Area Resource File for 2003. After examining factors associated with staff turnover, we tested the significance and impact of staff turnover on staffing levels for registered nurses (RNs), licensed vocational nurses (LVNs) and certified nursing assistants (CNAs)., Results: All three staff types showed strong dependency on resources, such as reimbursement rates and facility payor mix. The ratio of contracted to employed nursing staff as well as RN turnover increased LVN turnover rates. CNA turnover was reduced by higher administrative expenditures and higher CNA wages. Turnover rates significantly reduced staffing levels for RNs and CNAs. LVN staffing levels were not affected by LVN turnover but were influenced by market factors such as availability of LVNs in the county and women in the labor force., Implications: Staffing levels are not always associated with staff turnover. We conclude that staff turnover is a predictor of RN and CNA staffing levels but that LVN staffing levels are associated with market factors rather than turnover. Therefore, it is important to focus on management initiatives that help reduce CNA and RN turnover and ultimately result in higher nurse staffing levels in nursing homes.

Purpose: Previous research in specific locales indicates that individuals admitted to rural nursing homes have lower care needs than individuals admitted to nursing homes in urban areas, and that rural nursing homes differ in their mix of short-stay and chronic-care residents. This research investigates whether differences in acuity are a function of differences in resident payer status and occur for both individuals admitted for short stays, with Medicare as payer, and those needing chronic care., Design and Methods: We used a representative 10% sample of national resident assessments (Minimum Data Set) for calendar year 2000 (N = 197,589). We conducted statistical analyses (means, percentages, and logistic regression) to investigate differences in Medicare and non-Medicare admissions to facilities in metropolitan and nonmetropolitan areas., Results: Non-Medicare residents admitted to rural nursing facilities have lower acuity scores than non-Medicare residents admitted to metropolitan nursing homes. However, individuals admitted under Medicare were similar in rural and urban areas., Implications: Differences in resident acuity at admission among facilities in different locales were largely a function of lower acuity levels for individuals admitted to rural nursing homes for long-term or chronic care, although differences in Medicare census also played some role in facility-level differences in acuity. Other factors must be explored to determine why this lower acuity occurs and whether higher use of rural nursing homes by less impaired older persons meets their needs and preferences and represents good public policy.

Purpose: Throughout the 1990s, assisted living was the most rapidly growing form of senior housing. The purpose of this paper is to describe the existing supply of assisted living facilities (ALFs) and examine the extent to which they matched the philosophy of assisted living., Design and Methods: The study involved a multistage sample design to produce nationally representative estimates for the ALF industry. Administrators of nearly 1,500 eligible ALFs were interviewed by telephone., Results: As of 1998, there were an estimated 11,459 ALFs nationwide, with 611,300 beds and 521,500 residents. Nearly 60% offered a combination of low services and low or minimal privacy, whereas only 11% offered relatively high services and high privacy. Seventy-three percent of the resident rooms or apartments were private. Aging-in-place was limited by discharge policies in most ALFs for residents who needed help with transfers, had moderate to severe cognitive impairment, had any behavioral symptoms, or needed nursing care. The industry is largely private pay and unaffordable for low- or moderate-income persons aged >/=75 unless they use assets as well as income to pay., Implications: ALFs differed widely in ownership, size, policies, and the degree to which they manifested the philosophy of assisted living. This diversity represents a challenge for consumers in terms of selecting an appropriate facility and for policy makers in terms of deciding what role they want assisted living to play in long-term care.

Purpose: Assisted living is an increasingly important residential setting for the frail elderly person. How often and why residents leave such facilities are important issues for consumers, for clinicians advising frail patients on their options for living arrangements, and for policymakers. This research investigated the impact of facility and individual characteristics on residents' departures from assisted living., Design and Methods: This research is based on data on 1,483 residents in a nationally representative sample of 278 assisted living facilities (ALFs). Analyses of these data from 1998 and 1999 especially focused on those residents who left a study ALF between baseline and follow-up data collection. Multinomial logit models were estimated to investigate the impact of facility and individual factors on residents' status at follow-up., Results: Over three quarters of those leaving their baseline ALF did so because they needed more care. The multivariate analyses indicated that poorer functional status and being married affected residents' relative odds of death before follow-up. Moving to another setting, other than a nursing home, was more likely for residents in for-profit ALFs. Functional status, cognitive status, and the presence of a full-time RN affected residents' odds of moving from an ALF to a nursing home., Implications: Both facility-level and individual-level factors affected residents' relative odds of leaving an ALF. The findings with the most potentially interesting policy implications are those concerning the factors that affected residents' relative likelihoods of entering a nursing home.

In response to the Omnibus Reconciliation Act of 1987 mandate for the development of a national resident assessment system for nursing facilities, a consortium of professionals developed the first major component of this system, the Minimum Data Set (MDS) for Resident Assessment and Care Screening. A two-state field trial tested the reliability of individual assessment items, the overall performance of the instrument, and the time involved in its application. The trial demonstrated reasonable reliability for 55% of the items and pinpointed redundancy of items and initial design of scales. On the basis of these analyses and clinical input, 40% of the original items were kept, 20% dropped, and 40% altered. The MDS provides a structure and language in which to understand long-term care, design care plans, evaluate quality, and describe the nursing facility population for planning and policy efforts.