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RESEARCH |
Charlene Harrington, Joseph Mullan, and Helen Carrillo are with the Department of Social and Behavioral Sciences, University of California at San Francisco School of Nursing. Steffie Woolhandler and David U. Himmelstein are with the Center for National Health Program Studies, The Cambridge Hospital/Harvard Medical School, Cambridge, Mass.
Correspondence: Requests for reprints should be sent to David U. Himmelstein, MD, 1493 Cambridge St, Cambridge, MA 02139.
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ABSTRACT |
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 TOP ABSTRACT INTRODUCTIONMETHODSRESULTSDISCUSSIONReferences |
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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.
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INTRODUCTION |
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TOPABSTRACTINTRODUCTIONMETHODSRESULTSDISCUSSIONReferences |
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Poor-quality care has long plagued the nursing home industry.1–5 Two thirds of the nation's nursing homes are investor owned.6 Several small studies suggested that for-profit facilities deliver poorer care, compared with nonprofit and public facilities.7–10
We analyzed quality-of-care data derived from government inspections of virtually all US nursing homes that receive Medicare or Medicaid payments.
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METHODS |
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TOPABSTRACTINTRODUCTIONMETHODSRESULTSDISCUSSIONReferences |
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The Centers for Medicare and Medicaid Services compile these surveys in the On-Line Survey Certification and Reporting (OSCAR) system database. We used OSCAR to analyze all surveys conducted during 1998 in all 50 states and the District of Columbia. We excluded facilities with fewer than 16 beds, those reporting implausible nurse staffing figures, and duplicate records. Our analysis encompassed 13 693 facilities of the 15 401 in the OSCAR database. To examine the stability of our findings, we repeated all analyses on the 13 941 facilities in the 1997 OSCAR database.
We examined total deficiency rates, as well as deficiencies classified into 3 subgroups, as described elsewhere.11
Surveyors rated each deficiency on an ascending severity scale from A to L. Levels G through L indicate that a patient was actually harmed by the deficiency. To assess whether differences in deficiency rates were clinically meaningful, we also analyzed the subset of deficiencies in levels G through L.
We also examined nurse staffing ratios as an indicator of quality. Many studies have documented the importance of nursing in both the process and the outcome of nursing home care.8,12–18 We analyzed total nurse staffing and staffing ratios for each of 3 occupations: (1) registered nurses, (2) licensed vocational and licensed practical nurses, and (3) nursing aides or assistants. We computed staffing hours per patient-day by assuming a 35-hour workweek per full-time employee.
Facilities with sicker patients should provide more extensive and varied care.19–21 Hence, they have more opportunities to fail and probably run a higher risk of being cited for deficiencies. We analyzed case mix with an index of 3 activities of daily living (ADLs): eating, toileting, and transferring. The ADL index was constructed by adding scores on the 3 ADLs, with 3 representing the lowest need for assistance (a 1 on each ADL) and 9 indicating the greatest dependency.11,22 The ADL index was our principal control for case mix in multivariate models.
We also tabulated rates of 5 diagnoses or problems available from the OSCAR data: depression, dementia, behavioral symptoms, urinary incontinence, and pressure sores. Interpreting correlations between these diagnoses and quality indicators is problematic (this issue also might arise, although to a lesser extent, with ADLs). Patients with these problems may need more care. However, substandard care may exacerbate, or even cause, some of these problems. Hence, we report rates of these diagnoses, including incontinence and pressure sore rates in confirmatory (but not principal) multivariate models, principally for descriptive purposes.
Several characteristics of nursing homes and reimbursement may confound the relation between investor ownership and quality and therefore were controlled for in our multivariate analyses:
We used SAS26 to compute univariate means of all variables for investor-owned, nonprofit, and public nursing homes. We used 1-way analysis of variance to test differences; differences were significant at P < .01 unless otherwise stated. We used ordinary least squares regression to examine the effect of investor ownership on deficiencies, controlling for ADL index, percentage of residents covered by Medicaid, whether the facility was hospital based, whether it was a skilled nursing facility for Medicare only, whether the facility was part of a chain, and location by state.
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RESULTS |
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TOPABSTRACTINTRODUCTIONMETHODSRESULTSDISCUSSIONReferences |
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).
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Two thirds of the investor-owned facilities were owned by a chain, compared with 40% of the nonprofit facilities and 8% of the public facilities. Investor-owned homes were larger than nonprofit homes but smaller than public homes. Investor-owned facilities had more Medicaid patients (68% of all residents) than did nonprofit facilities (49%) or public facilities (62%). Only 3% of the investor-owned homes were hospital based, compared with 28% and 39% of the nonprofit and public facilities, respectively. Investor-owned facilities were more often located in the South or West and had lower occupancy rates.
Investor-owned nursing homes had more of all types of deficiencies than did nonprofit or public facilities (Table 2). Total deficiencies at investor-owned facilities averaged 5.89 per home, 46.5% higher than at nonprofit facilities and 43.0% higher than at public facilities.
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In the multivariate analysis, investor ownership predicted more deficiencies of each type after control for ADL index, location by state, and the 4 facility and reimbursement characteristics (Table 3). Investor-owned nursing homes averaged 0.679 more deficiencies; chain ownership predicted an additional 0.633 deficiencies. Homes with a higher ADL index had more deficiencies, as did those with a higher proportion of Medicaid patients. Homes certified as Skilled Nursing Facilities for Medicare Only had fewer deficiencies.
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Approximately one quarter of all deficiencies were severe (levels G–L). Rates of severe deficiencies at investor-owned facilities were 40.5% higher than at nonprofit homes and 35.8% higher than at public homes.
Results from the analysis of the 1997 data were very similar to the results of the 1998 analysis. Investor-owned facilities had total deficiency rates 29.8% higher than those at nonprofit facilities and 25.2% higher than those at public facilities. In multivariate analysis, investor ownership predicted an additional 0.623 deficiencies per home in 1997.
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DISCUSSION |
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TOPABSTRACTINTRODUCTIONMETHODSRESULTSDISCUSSIONReferences |
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Investor-owned facilities appear to provide less nursing care, a finding consistent with previous research.7,8,13,27 Higher registered nurse staffing levels predict lower death rates, and better licensed practical nurse staffing is associated with better functional outcomes.18 Facilities with higher nurse staffing levels have fewer deficiencies.11 Skimping on staffing by for-profit homes may partly explain their lower quality.
A Pennsylvania study found fewer pressure sores and higher staffing levels at nonprofit facilities.8 A recent non-peer-reviewed report found higher deficiency rates at investor-owned homes but did not control for confounders.28 An analysis of 1987 data found approximately 6% higher death and infection rates among private-pay patients in for-profit homes compared with those in nonprofit ones.9 We (and others13) have found lower quality at facilities with more Medicaid patients, presumably because Medicaid payments are generally low, and Medicaid patients have fewer options for care.
The number of deficiencies yields an incomplete, proxy measure of quality; more systematic information on patient outcomes and satisfaction would be useful supplements. Despite clear federal guidelines, surveyors' decisions may be somewhat subjective, and perhaps some are biased against for-profit homes. However, the data we analyzed were the only systematic evaluations of quality available for all certified US nursing homes.
Our multivariate model controlled for case mix with several facility- and reimbursement-related variables associated with case mix, as well as the ADL index. ADLs are primary components of the well-validated resource utilization groups (RUGS III) case-mix index.21 Unfortunately, other variables needed to compute a full RUGS III are not available from OSCAR or other comprehensive nursing home data sources. Because differences in ADL case mix between ownership types were small, and there were no consistent differences in rates of common conditions such as incontinence and dementia, we doubt that unmeasured case-mix differences explain our findings.
Investor-owned facilities were larger than nonprofit nursing homes (a factor that may be associated with more deficiencies), but public facilities were even larger yet had better staffing and fewer deficiencies. In confirmatory multivariate models that included facility size and certification (data not shown), investor ownership remained a strong predictor of higher deficiency rates.
The most obvious explanation for our findings is that profit seeking diverts funds and focus from clinical care. The nation's largest nursing home chain generated 1997 profits of $5.28 per patient-day,29 enough money, at prevailing wages,30 to erase more than half of the investor-owned homes' nurse staffing deficit relative to nonprofit homes.
Our findings do not mean that the quality of care at most nonprofit or public facilities is excellent or even adequate.3–5,31–34 Despite previous attempts to tighten the regulation of nursing homes, enforcement has been lax.3–5 After the passage of nursing home reform legislation in 1987, industry lobbyists delayed the effective implementation of sanctions until 199535; enforcement may have actually declined in the early 1990s.36
Our findings on quality in long-term care mirror data from acute-care settings.37 Investor-owned hospitals have higher costs,38–48 despite spending less on clinical personnel than do nonprofit facilities.47 Death rates and postoperative complication rates also are higher at investor-owned hospitals,46,49 and nurse staffing levels are lower.49 Investor-owned health maintenance organizations have worse quality scores and spend less on care and more on administration and profits than do not-for-profit plans; overall costs are identical.50
Nursing homes care for many people who are too frail, too sick, too poor, and too powerless to choose or even protest their care. We believe that it is unwise to entrust such vulnerable patients to profit-seeking firms.
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Acknowledgments |
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Footnotes |
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Accepted for publication October 17, 2000.
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References |
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TOPABSTRACTINTRODUCTIONMETHODSRESULTSDISCUSSIONReferences |
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