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Cross DA, Bucy TI, Rahman M, McHugh JP. Access to preferred skilled nursing facilities: Transitional care pathways for patients with Alzheimer's disease and related dementias. Health Serv Res 2024; 59:e14263. [PMID: 38145955 PMCID: PMC10915496 DOI: 10.1111/1475-6773.14263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2023] Open
Abstract
OBJECTIVE The study aimed to assess whether individuals with Alzheimer's disease and related dementias (ADRD) experience restricted access to hospitals' high-volume preferred skilled nursing facility (SNF) partners. DATA SOURCES The data source includes acute care hospital to SNF transitions identified using 100% Medicare Provider Analysis and Review files, 2017-2019. STUDY DESIGN We model and compare the estimated effect of facility "preferredness" on SNF choice for patients with and without ADRD. We use conditional logistic regression with a 1:1 patient sample otherwise matched on demographic and encounter characteristics. DATA COLLECTION Our matched sample included 58,190 patients, selected from a total observed population of 3,019,260 Medicare hospitalizations that resulted in an SNF transfer between 2017 and 2019. PRINCIPAL FINDINGS Overall, patients with ADRD have a lower probability of being discharged to a preferred SNF (52.0% vs. 54.4%, p < 0.001). Choice model estimation using our matched sample suggests similarly that the marginal effect of preferredness on a patient choosing a proximate SNF is 2.4 percentage points lower for patients with ADRD compared with those without (p < 0.001). The differential effect of preferredness based on ADRD status increases when considering (a) the cumulative effect of multiple SNFs in close geographic proximity, (b) the magnitude of the strength of hospital-SNF relationship, and (c) comparing patients with more versus less advanced ADRD. CONCLUSIONS Preferred relationships are significantly predictive of where a patient receives SNF care, but this effect is weaker for patients with ADRD. To the extent that these high-volume relationships are indicative of more targeted transitional care improvements from hospitals, ADRD patients may not be fully benefiting from these investments. Hospital leaders can leverage integrated care relationships to reduce SNFs' perceived need to engage in selection behavior (i.e., enhanced resource sharing and transparency in placement practices). Policy intervention may be needed to address selection behavior and to support hospitals in making systemic improvements that can better benefit all SNF partners (i.e., more robust information sharing systems).
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Affiliation(s)
- Dori A. Cross
- Division of Health Policy and ManagementUniversity of Minnesota School of Public HealthMinneapolisMinnesotaUSA
| | - Taylor I. Bucy
- Division of Health Policy and ManagementUniversity of Minnesota School of Public HealthMinneapolisMinnesotaUSA
| | - Momotazur Rahman
- Department of Health Services, Policy & PracticeBrown University School of Public HealthProvidenceRhode IslandUSA
| | - John P. McHugh
- Department of Health Policy and ManagementMailman School of Public Health, Columbia UniversityNew YorkNew YorkUSA
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Winter JD, Kerns JW, Winter KM, Etz R. Public Quality Reporting and Nursing Home Admission Decisions. J Am Med Dir Assoc 2022; 23:2035-2037. [PMID: 36183746 DOI: 10.1016/j.jamda.2022.08.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 08/29/2022] [Accepted: 08/30/2022] [Indexed: 12/15/2022]
Affiliation(s)
- Jonathan D Winter
- VCU-Shenandoah Family Practice Residency, Front Royal, VA, USA; Department of Family Medicine and Population Health, Virginia Commonwealth University, Richmond, VA, USA
| | - J William Kerns
- VCU-Shenandoah Family Practice Residency, Front Royal, VA, USA; Department of Family Medicine and Population Health, Virginia Commonwealth University, Richmond, VA, USA
| | | | - Rebecca Etz
- Department of Family Medicine and Population Health, Virginia Commonwealth University, Richmond, VA, USA; Larry A. Green Center, Richmond, VA, USA
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Downer B, Reistetter TA, Kuo YF, Li S, Karmarkar A, Hong I, Goodwin JS, Ottenbacher KJ. Relationship Between Nursing Home Compare Improvement in Function Quality Measure and Physical Recovery After Hip Replacement. Arch Phys Med Rehabil 2021; 102:1717-1728.e7. [PMID: 33812884 PMCID: PMC8429053 DOI: 10.1016/j.apmr.2021.03.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 02/19/2021] [Accepted: 03/01/2021] [Indexed: 12/21/2022]
Abstract
OBJECTIVE To determine whether patients with a total or partial hip replacement admitted to a skilled nursing facility (SNF) after the improvement in function quality measure was added to Nursing Home Compare in July 2016 have greater physical recovery than patients admitted before July 2016. DESIGN Pre (January 1, 2015-June 30, 2016) vs post (July 1, 2016-December 31, 2017) design. SETTING Skilled nursing facilities (n=12,829). PARTICIPANTS Medicare fee-for-service beneficiaries (N=106,832) discharged from acute hospitals to SNF after hip replacement between January 1, 2015 and December 31, 2017. INTERVENTIONS Not applicable. MAIN OUTCOME MEASURES The 5- and 14-day minimum data set assessments were used to calculate total scores for the quality measure, self-care, mobility, and balance. We calculated the average adjusted change per 10 days and any improvement between the 5- and 14-day assessments. RESULTS The average adjusted change per 10 days for the quality measure total score for patients admitted before July 2016 and after July 2016 was 1.00 points (standard error, 0010) and 1.06 points (standard error, 0.010), respectively (P<.01). This was a relative increase of 6.0%. Among patients admitted to a SNF before July 2016, 44.4% (standard error, 0.06) had any improvement in the quality measure total score compared with 45.5% (standard error, 0.23) of patients admitted after July 2016 (P<.01). This was a relative increase of 2.5%. The adjusted change per 10 days and percentage of patients who had any improvement in the total scores for self-care, mobility, and balance were all significantly higher after July 2016. CONCLUSIONS Patients admitted to a SNF after a hip replacement after July 2016 had greater physical recovery than patients admitted before the improvement in function quality measure was added to Nursing Home Compare.
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Affiliation(s)
- Brian Downer
- University of Texas Medical Branch, School of Health Professions, Division of Rehabilitation Sciences, Galveston, TX; University of Texas Medical Branch, Sealy Center on Aging, Galveston, TX.
| | - Timothy A Reistetter
- University of Texas Health Science Center at San Antonio, School of Health Professions, Department of Occupational Therapy, San Antonio, TX
| | - Yong-Fang Kuo
- University of Texas Medical Branch, Sealy Center on Aging, Galveston, TX; University of Texas Medical Branch, Preventive Medicine and Population Health, Office of Biostatistics, Galveston, TX
| | - Shuang Li
- University of Texas Medical Branch, Sealy Center on Aging, Galveston, TX
| | - Amol Karmarkar
- Virginia Commonwealth University, School of Medicine, Department of Physical Medicine and Rehabilitation, Richmond, VA
| | - Ickpyo Hong
- Yonsei University, College of Health Sciences, Department of Occupational Therapy, Seoul, Korea
| | - James S Goodwin
- University of Texas Medical Branch, Sealy Center on Aging, Galveston, TX; University of Texas Medical Branch, Department of Internal Medicine, Division of Geriatrics, Galveston, TX
| | - Kenneth J Ottenbacher
- University of Texas Medical Branch, School of Health Professions, Division of Rehabilitation Sciences, Galveston, TX; University of Texas Medical Branch, Sealy Center on Aging, Galveston, TX
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Pimentel CB, Clark V, Baughman AW, Berlowitz DR, Davila H, Mills WL, Mohr DC, Sullivan JL, Hartmann CW. Health Care Providers and the Public Reporting of Nursing Home Quality in the United States Department of Veterans Affairs: Protocol for a Mixed Methods Pilot Study. JMIR Res Protoc 2021; 10:e23516. [PMID: 34287218 PMCID: PMC8339985 DOI: 10.2196/23516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 05/27/2021] [Accepted: 05/27/2021] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND In June 2018, the United States Department of Veterans Affairs (VA) began the public reporting of its 134 Community Living Centers' (CLCs) overall quality by using a 5-star rating system based on data from the national quality measures captured in CLC Compare. Given the private sector's positive experience with report cards, this is a seminal moment for stimulating measurable quality improvements in CLCs. However, the public reporting of CLC Compare data raises substantial and immediate implications for CLCs. The report cards, for example, facilitate comparisons between CLCs and community nursing homes in which CLCs generally fare worse. This may lead to staff anxiety and potentially unintended consequences. Additionally, CLC Compare is designed to spur improvement, yet the motivating aspects of the report cards are unknown. Understanding staff attitudes and early responses is a critical first step in building the capacity for public reporting to spur quality. OBJECTIVE We will adapt an existing community nursing home public reporting survey to reveal important leverage points and support CLCs' quality improvement efforts. Our work will be grounded in a conceptual framework of strategic orientation. We have 2 aims. First, we will qualitatively examine CLC staff reactions to CLC Compare. Second, we will adapt and expand upon an extant community nursing home survey to capture a broad range of responses and then pilot the adapted survey in CLCs. METHODS We will conduct interviews with staff at 3 CLCs (1 1-star CLC, 1 3-star CLC, and 1 5-star CLC) to identify staff actions taken in response to their CLCs' public data; staff's commitment to or difficulties with using CLC Compare; and factors that motivate staff to improve CLC quality. We will integrate these findings with our conceptual framework to adapt and expand a community nursing home survey to the current CLC environment. We will conduct cognitive interviews with staff in 1 CLC to refine survey items. We will then pilot the survey in 6 CLCs (2 1-star CLCs, 2 3-star CLCs, and 2 5-star CLCs) to assess the survey's feasibility, acceptability, and preliminary psychometric properties. RESULTS We will develop a brief survey for use in a future national administration to identify system-wide responses to CLC Compare; evaluate the impact of CLC Compare on veterans' clinical outcomes and satisfaction; and develop, test, and disseminate interventions to support the meaningful use of CLC Compare for quality improvement. CONCLUSIONS The knowledge gained from this pilot study and from future work will help VA refine how CLC Compare is used, ensure that CLC staff understand and are motivated to use its quality data, and implement concrete actions to improve clinical quality. The products from this pilot study will also facilitate studies on the effects of public reporting in other critical VA clinical areas. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/23516.
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Affiliation(s)
- Camilla B Pimentel
- Center for Healthcare Organization and Implementation Research, United States Department of Veterans Affairs Bedford Healthcare System, Bedford, MA, United States
- New England Geriatric Research Education and Clinical Center, United States Department of Veterans Affairs Bedford Healthcare System, Bedford, MA, United States
- Division of Health Informatics and Implementation Science, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States
| | - Valerie Clark
- Center for Healthcare Organization and Implementation Research, United States Department of Veterans Affairs Bedford Healthcare System, Bedford, MA, United States
| | - Amy W Baughman
- Department of Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Dan R Berlowitz
- Department of Public Health, Zuckerberg College of Health Sciences, University of Massachusetts Lowell, Lowell, MA, United States
| | - Heather Davila
- Center for Healthcare Organization and Implementation Research, United States Department of Veterans Affairs Boston Healthcare System, Boston, MA, United States
| | - Whitney L Mills
- Center of Innovation in Long Term Services and Supports, United States Department of Veterans Affairs Providence Healthcare System, Providence, RI, United States
- Department of Health Services, Policy and Practice, School of Public Health, Brown University, Providence, RI, United States
| | - David C Mohr
- Center for Healthcare Organization and Implementation Research, United States Department of Veterans Affairs Boston Healthcare System, Boston, MA, United States
- Department of Health Law, Policy and Management, School of Public Health, Boston University, Boston, MA, United States
| | - Jennifer L Sullivan
- Center for Healthcare Organization and Implementation Research, United States Department of Veterans Affairs Boston Healthcare System, Boston, MA, United States
- Department of Health Law, Policy and Management, School of Public Health, Boston University, Boston, MA, United States
| | - Christine W Hartmann
- Center for Healthcare Organization and Implementation Research, United States Department of Veterans Affairs Bedford Healthcare System, Bedford, MA, United States
- Department of Public Health, Zuckerberg College of Health Sciences, University of Massachusetts Lowell, Lowell, MA, United States
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McHugh JP, Rapp T, Mor V, Rahman M. Higher hospital referral concentration associated with lower-risk patients in skilled nursing facilities. Health Serv Res 2021; 56:839-846. [PMID: 33779987 DOI: 10.1111/1475-6773.13654] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVE To examine whether stronger referral relationships between hospitals and skilled nursing facilities (SNF) are associated with lower-risk patients being admitted to SNF. DATA SOURCES/COLLECTION We used MedPAR data to estimate referral relationship strength and nursing home survey data (OSCAR and CASPER) to determine the risk of patient admissions at nearly 14 000 SNFs from 2008 to 2014. STUDY DESIGN We examined the association of hospital referral concentration with the percentage of higher-risk patients admitted to non-hospital-based (freestanding) SNFs using an instrumental variables approach. We used the distance between patients and SNFs and hospitals and SNFs as the instrument. DATA COLLECTION/EXTRACTION METHODS We used previously collected MedPAR and OSCAR/CASPER survey data. PRINCIPAL FINDINGS We find greater observed referral concentration among freestanding SNFs is associated with lower percentages of patients with pressure sores (coefficient, -2.64; 95% CI, [-2.82 to -2.46]), catheters (-0.55; [-0.74 to -0.36]), and physical restraints (-0.16; [-0.29 to -0.03]) at admission to a skilled nursing facility. CONCLUSIONS We find evidence that freestanding SNFs with stronger hospital referral relationships may be admitting less risky patients, possibly contributing to disparities across SNFs.
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Affiliation(s)
- John P McHugh
- Department of Health Policy and Management, Columbia University Mailman School of Public Health, New York, New York, USA
| | | | - Vincent Mor
- Department of Health Services Policy and Practice, School of Public Health, Brown University, Providence, Rhode Island, USA
| | - Momotazur Rahman
- Department of Health Services Policy and Practice, School of Public Health, Brown University, Providence, Rhode Island, USA
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6
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Tamara Konetzka R, Yan K, Werner RM. Two Decades of Nursing Home Compare: What Have We Learned? Med Care Res Rev 2020; 78:295-310. [PMID: 32538264 DOI: 10.1177/1077558720931652] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Approximately two decades ago, federally mandated public reporting began for U.S. nursing homes through a system now known as Nursing Home Compare. The goals were to provide information to enable consumers to choose higher quality nursing homes and to incent providers to improve the quality of care delivered. We conduct a systematic review of the literature on responses to Nursing Home Compare and its effectiveness in meeting these goals. We find evidence of modest but meaningful response by both consumers and providers. However, we also find evidence that some improvement in scores does not reflect true quality improvement, that disparities by race and income have increased, that risk-adjustment of the measures is likely inadequate, and that several key domains of quality are not represented. Our results support moderate success of Nursing Home Compare in achieving intended goals but also reveal the need for continued refinement.
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Affiliation(s)
| | - Kevin Yan
- The University of Chicago, Chicago, IL, USA
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Mashouri P, Taati B, Quirt H, Iaboni A. Quality Indicators as Predictors of Future Inspection Performance in Ontario Nursing Homes. J Am Med Dir Assoc 2019; 21:793-798.e1. [PMID: 31676326 DOI: 10.1016/j.jamda.2019.09.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Revised: 09/04/2019] [Accepted: 09/05/2019] [Indexed: 10/25/2022]
Abstract
OBJECTIVES There are several mechanisms for monitoring the quality of care in long-term care (LTC), including the use of quality indicators derived from resident assessments and formal inspections. The LTC inspection process is time and resource-intensive, and there may be opportunities to better target inspections. In this study, we aimed to examine whether quality indicators could predict future inspection performance in LTC homes across Ontario, Canada. SETTING AND PARTICIPANTS In total, 594 LTC homes across Ontario. METHODS Using a database compiling detailed inspection reports for the period from 2017 to 2018, we classified each home into 1 of 3 categories (in good standing, needing improvement, needing significant improvement). Machine learning techniques were used to examine whether publicly available Resident Assessment Instrument‒Minimum Data Set quality indicators for the period 2016‒2017 could predict facility classification based on inspection results. RESULTS After running a wide range of models, only a weak relationship was found between quality indicators and future inspection performance. The best-performing model was able to achieve a classification accuracy of 40.1%. Feature analysis was performed on the final model to identify which quality indicators were most indicative of predicted poor performance. Experiencing worsened pain, restraint use, and worsened pressure ulcers were correlated with homes predicted as needing significant improvement. Counterintuitively, improved physical functioning had an inverse relationship with homes predicted as being in good standing. CONCLUSIONS AND IMPLICATIONS Most quality indicators are poor predictors of inspection performance. Further work is required to explore the limited relationship between these 2 measures of LTC quality, and to identify other quality measures that may be useful as predictors of facilities facing difficulty in meeting quality standards.
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Affiliation(s)
- Pouria Mashouri
- KITE, Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada; Department of Computer Science, University of Toronto, Toronto, Ontario, Canada
| | - Babak Taati
- KITE, Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada; Department of Computer Science, University of Toronto, Toronto, Ontario, Canada; Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada; Vector Institute for Artificial Intelligence, Toronto, Ontario, Canada
| | - Hannah Quirt
- KITE, Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada
| | - Andrea Iaboni
- KITE, Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; Center for Mental Health, University Health Network, Toronto, Ontario, Canada.
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8
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Shield R, Winblad U, McHugh J, Gadbois E, Tyler D. Choosing the Best and Scrambling for the Rest: Hospital-Nursing Home Relationships and Admissions to Post-Acute Care. J Appl Gerontol 2019; 38:479-498. [PMID: 29307258 PMCID: PMC6734560 DOI: 10.1177/0733464817752084] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVE We explored post-Affordable Care Act hospital and skilled nursing facility (SNF) perspectives in discharge and admission practices. METHOD Interviews were conducted with 138 administrative personnel in 16 hospitals and 25 SNFs in eight U.S. markets and qualitatively analyzed. RESULTS Hospitals may use prior referral rates and patients' geographic proximity to SNFs to guide discharges. SNFs with higher hospital referral rates often use licensed nurses to screen patients to admit more preferred patients. While SNFs with lower hospital referral rates use marketing strategies to increase admissions, these patients are often less preferred due to lower reimbursement or complex care needs. CONCLUSION An unintended consequence of increased hospital-SNF integration may be greater disparity. SNFs with high hospital referral rates may admit well-reimbursed or less medically complex patients than SNFs with lower referral rates. Without policy remediation, SNFs with lower referral rates may thus care for more medically complex long-term care patients.
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9
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Tyler DA, McHugh JP, Shield RR, Winblad U, Gadbois EA, Mor V. Challenges and Consequences of Reduced Skilled Nursing Facility Lengths of Stay. Health Serv Res 2018; 53:4848-4862. [PMID: 29873063 DOI: 10.1111/1475-6773.12987] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
OBJECTIVE To identify the challenges that reductions in length of stay (LOS) pose for skilled nursing facilities (SNFs) and their postacute care (PAC) patients. DATA SOURCES/SETTING Seventy interviews with staff in 25 SNFs in eight U.S. cities, LOS data for patients in those SNFs. STUDY DESIGN Data were qualitatively analyzed, and key themes were identified. Interview data from SNFs with and without reductions in median risk-adjusted LOS were compared and contrasted. DATA COLLECTION/EXTRACTION METHODS We conducted 70 semistructured interviews. LOS data were derived from minimum dataset (MDS) admission records available for all patients in all U.S. SNFs from 2012 to 2014. PRINCIPAL FINDINGS Challenges reported regardless of reductions in LOS included frequent and more complicated re-authorization processes, patients becoming responsible for costs, and discharging patients whom staff felt were unsafe at home. Challenges related to reduced LOS included SNFs being pressured to discharge patients within certain time limits. Some SNFs reported instituting programs and processes for following up with patients after discharge. These programs helped alleviate concerns about patients, but they resulted in nonreimbursable costs for facilities. CONCLUSIONS The push for shorter LOS has resulted in unexpected challenges and costs for SNFs and possible unintended consequences for PAC patients.
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Affiliation(s)
| | - John P McHugh
- Department of Health Policy and Management, Columbia University Mailman School of Public Health, New York, NY
| | - Renée R Shield
- Center for Gerontology & Health Care Research, Brown University School of Public Health, Providence, RI
| | - Ulrika Winblad
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Emily A Gadbois
- Center for Gerontology & Health Care Research, Brown University School of Public Health, Providence, RI
| | - Vincent Mor
- Center for Gerontology & Health Care Research, Brown University School of Public Health, Providence, RI
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10
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Benjenk I, Chen J. Finding Disparities in the Stars: Using the Nursing Home Five-Star Quality Rating System to Identify Disparities in Nursing Home Quality for Older Adults with Severe Mental Illness. Am J Geriatr Psychiatry 2018; 26:655-656. [PMID: 29752061 DOI: 10.1016/j.jagp.2018.03.017] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Accepted: 03/28/2018] [Indexed: 10/17/2022]
Affiliation(s)
- Ivy Benjenk
- Department of Health Services and Administration, School of Public Health, University of Maryland at College Park, College Park, MD
| | - Jie Chen
- Department of Health Services and Administration, School of Public Health, University of Maryland at College Park, College Park, MD.
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11
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Schold JD, Flechner SM, Poggio ED, Augustine JJ, Goldfarb DA, Sedor JR, Buccini LD. Residential Area Life Expectancy: Association With Outcomes and Processes of Care for Patients With ESRD in the United States. Am J Kidney Dis 2018. [PMID: 29525324 DOI: 10.1053/j.ajkd.2017.12.014] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
BACKGROUND The effects of underlying noncodified risks are unclear on the prognosis of patients with end-stage renal disease (ESRD). We aimed to evaluate the association of residential area life expectancy with outcomes and processes of care for patients with ESRD in the United States. STUDY DESIGN Retrospective cohort study. SETTING & PARTICIPANTS Adult patients with incident ESRD between 2006 and 2013 recorded in the US Renal Data System (n=606,046). PREDICTOR The primary exposure was life expectancy in the patient's residential county estimated by the Institute for Health Metrics and Evaluation. OUTCOMES Death, placement on the kidney transplant wait list, living and deceased donor kidney transplantation, and posttransplantation graft loss. RESULTS Median life expectancies of patients' residences were 75.6 (males) and 80.4 years (females). Compared to the highest life expectancy quintile and adjusted for demographic factors, disease cause, and multiple comorbid conditions, the lowest quintile had adjusted HRs for mortality of 1.20 (95% CI, 1.18-1.22); placement onto the waiting list, 0.68 (95% CI, 0.67-0.70); living donor transplantation, 0.53 (95% CI, 0.51-0.56); posttransplantation graft loss, 1.35 (95% CI, 1.27-1.43); and posttransplantation mortality, 1.29 (95% CI, 1.19-1.39). Patients living in areas with lower life expectancy were less likely to be informed about transplantation, be under the care of a nephrologist, or receive an arteriovenous fistula as the initial dialysis access. Results remained consistent with additional adjustment for zip code-level median income, population size, and urban-rural locality. LIMITATIONS Potential residual confounding and attribution of effects to individuals based on residential area-level data. CONCLUSIONS Residential area life expectancy, a proxy for socioeconomic, environmental, genetic, and behavioral factors, was independently associated with mortality and process-of-care measures for patients with ESRD. These results emphasize the underlying effect on health outcomes of the environment in which patients live, independent of patient-level factors. These findings may have implications for provider assessments.
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Affiliation(s)
- Jesse D Schold
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH; Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH; Center for Populations Health Research, Lerner Research Institute, Cleveland, OH.
| | - Stuart M Flechner
- Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH; Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Emilio D Poggio
- Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH; Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Joshua J Augustine
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - David A Goldfarb
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - John R Sedor
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Laura D Buccini
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH; Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH
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12
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Perraillon MC, Brauner DJ, Konetzka RT. Nursing Home Response to Nursing Home Compare: The Provider Perspective. Med Care Res Rev 2017; 76:425-443. [PMID: 29148352 DOI: 10.1177/1077558717725165] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Nursing Home Compare (NHC) publishes composite quality ratings of nursing homes based on a five-star rating system, a system that has been subject to controversy about its validity. Using in-depth interviews, we assess the views of nursing home administrators and staff on NHC and unearth strategies used to improve ratings. Respondents revealed conflicting goals and strategies. Although nursing home managers monitor the ratings and expend effort to improve scores, competing goals of revenue maximization and avoidance of litigation often overshadow desire to score well on NHC. Some of the improvement strategies simply involve coding changes that have no effect on resident outcomes. Many respondents doubted the validity of the self-reported staffing data and stated that lack of risk adjustment biases ratings. Policy makers should consider nursing home incentives when refining the system, aiming to improve the validity of the self-reported domains to provide incentives for broader quality improvement.
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13
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HE DAIFENG, KONETZKA RTAMARA. Public Reporting and Demand Rationing: Evidence from the Nursing Home Industry. HEALTH ECONOMICS 2015; 24:1437-51. [PMID: 25236842 PMCID: PMC7480085 DOI: 10.1002/hec.3097] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2013] [Revised: 04/15/2014] [Accepted: 07/11/2014] [Indexed: 05/25/2023]
Abstract
This paper examines an under-explored unintended consequence of public reporting: the potential for demand rationing. Public reporting, although intended to increase consumer access to high-quality products, may have provided the perverse incentive for high-quality providers facing fixed capacity and administrative pricing to avoid less profitable types of residents. Using data from the nursing home industry before and after the implementation of the public reporting system in 2002, we find that high-quality nursing homes facing capacity constraints reduced admissions of less profitable Medicaid residents while increasing the more profitable Medicare and private-pay admissions, relative to low-quality nursing homes facing no capacity constraints. These effects, although small in magnitude, are consistent with provider rationing of demand on the basis of profitability and underscore the important role of institutional details in designing effective public reporting systems for regulated industries.
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Affiliation(s)
- DAIFENG HE
- Department of Economics, College of William and Mary, Williamsburg, VA, USA
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Mukamel DB, Haeder SF, Weimer DL. Top-Down and Bottom-Up Approaches to Health Care Quality: The Impacts of Regulation and Report Cards. Annu Rev Public Health 2014; 35:477-97. [DOI: 10.1146/annurev-publhealth-082313-115826] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Dana B. Mukamel
- School of Medicine and Health Policy Research Institute (HPRI), University of California, Irvine, California 92697-5800;
| | | | - David L. Weimer
- Department of Political Science,
- The La Follette School of Public Affairs, University of Wisconsin, Madison, Wisconsin 53706; ,
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15
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Pesis-Katz I, Phelps CE, Temkin-Greener H, Spector WD, Veazie P, Mukamel DB. Making difficult decisions: the role of quality of care in choosing a nursing home. Am J Public Health 2013; 103:e31-7. [PMID: 23488519 PMCID: PMC3670650 DOI: 10.2105/ajph.2013.301243] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/10/2013] [Indexed: 11/04/2022]
Abstract
OBJECTIVES We investigated how quality of care affects choosing a nursing home. METHODS We examined nursing home choice in California, Ohio, New York, and Texas in 2001, a period before the federal Nursing Home Compare report card was published. Thus, consumers were less able to observe clinical quality or clinical quality was masked. We modeled nursing home choice by estimating a conditional multinomial logit model. RESULTS In all states, consumers were more likely to choose nursing homes of high hotel services quality but not clinical care quality. Nursing home choice was also significantly associated with shorter distance from prior residence, not-for-profit status, and larger facility size. CONCLUSIONS In the absence of quality report cards, consumers choose a nursing home on the basis of the quality dimensions that are easy for them to observe, evaluate, and apply to their situation. Future research should focus on identifying the quality information that offers the most value added to consumers.
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Affiliation(s)
- Irena Pesis-Katz
- School of Nursing, University of Rochester, Rochester, NY 14642, USA.
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16
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Konetzka RT, Polsky D, Werner RM. Shipping out instead of shaping up: rehospitalization from nursing homes as an unintended effect of public reporting. JOURNAL OF HEALTH ECONOMICS 2013; 32:341-352. [PMID: 23333954 DOI: 10.1016/j.jhealeco.2012.11.008] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2012] [Revised: 11/20/2012] [Accepted: 11/26/2012] [Indexed: 06/01/2023]
Abstract
Public reporting of health care quality has become a popular tool for incenting quality improvement. A fundamental question about public reporting is whether it causes providers to select healthier patients for treatment. In the nursing home post-acute setting, where patients must achieve a minimum length of stay to be included in quality measures, selection may take the form of discharge from the nursing home using rehospitalization, a particularly costly and undesirable outcome. We study the population of post-acute patients of skilled nursing facilities nationwide during 1999-2005 to assess whether selective rehospitalization occurred when public reporting was instituted in 2002, using multiple quasi-experimental designs to identify effects. We find that after public reporting was implemented, rehospitalizations before the length-of-stay cutoff increased. We conclude that nursing homes rehospitalize higher-risk post-acute patients to improve scores, providing evidence for selection behavior on the part of nursing home providers in the presence of public reporting.
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Affiliation(s)
- R Tamara Konetzka
- University of Chicago, 5841 S. Maryland, MC2007, Chicago, IL 60637, USA.
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17
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Temkin-Greener H, Cai S, Zheng NT, Zhao H, Mukamel DB. Nursing home work environment and the risk of pressure ulcers and incontinence. Health Serv Res 2012; 47:1179-200. [PMID: 22098384 PMCID: PMC3290703 DOI: 10.1111/j.1475-6773.2011.01353.x] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVE To examine the association between nursing home (NH) work environment attributes such as teams, consistent assignment and staff cohesion, and the risk of pressure ulcers and incontinence. DATA SOURCES/SETTING Minimum dataset for 46,044 residents in 162 facilities in New York State, for June 2006-July 2007, and survey responses from 7,418 workers in the same facilities. STUDY DESIGN For each individual and facility, primary and secondary data were linked. Random effects logistic models were used to develop/validate outcome measures. Generalized estimating equation models with robust standard errors and probability weights were employed to examine the association between outcomes and work environment attributes. Key independent variables were staff cohesion, percent staff in daily care teams, and percent staff with consistent assignment. Other facility factors were also included. PRINCIPAL FINDINGS Residents in facilities with worse staff cohesion had significantly greater odds of pressure ulcers and incontinence, compared with residents in facilities with better cohesion scores. Residents in facilities with greater penetration of self-managed teams had lower risk of pressure ulcers, but not of incontinence. Prevalence of consistent assignment was not significantly associated with the outcome measures. CONCLUSIONS NH environments and management practices influence residents' health outcomes. These findings provide important lessons for administrators and regulators interested in promoting NH quality improvement.
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Affiliation(s)
- Helena Temkin-Greener
- Department of Community and Preventive Medicine, University of Rochester School of Medicine, Rochester, NY 14642, USA.
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18
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Zuidgeest M, Delnoij DMJ, Luijkx KG, de Boer D, Westert GP. Patients' experiences of the quality of long-term care among the elderly: comparing scores over time. BMC Health Serv Res 2012; 12:26. [PMID: 22293109 PMCID: PMC3305532 DOI: 10.1186/1472-6963-12-26] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2010] [Accepted: 01/31/2012] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Every two years, long-term care organizations for the elderly are obliged to evaluate and publish the experiences of residents, representatives of psychogeriatric patients, and/or assisted-living clients with regard to quality of care. Our hypotheses are that publication of this quality information leads to improved performance, and that organizations with substandard performance will improve more than those whose performance is relatively good. METHODS The analyses included organizational units that measured experiences twice between 2007 (t(0)) and 2009 (t(1)). Experiences with quality of care were measured with Consumer Quality Index (CQI) questionnaires. Besides descriptive analyses (i.e. mean, 5(th) and 95(th) percentile, and 90% central range) of the 19 CQI indicators and change scores of these indicators were calculated. Differences across five performance groups (ranging from 'worst' to 'best') were tested using an ANOVA test and effect sizes were measured with omega squared (ω(2)). RESULTS At t0 experiences of residents, representatives, and assisted-living clients were positive on all indicators. Nevertheless, most CQI indicators had improved scores (up to 0.37 change score) at t(1). Only three indicators showed a minor decline (up to -0.08 change score). Change scores varied between indicators and questionnaires, e.g. they were more profound for the face-to-face interview questionnaire for residents in nursing homes than for the other two mail questionnaires (0.15 vs. 0.05 and 0.04, respectively), possibly due to more variation between nursing homes on the first measurement, perhaps indicating more potential for improvement. A negative relationship was found between prior performance and change, particularly with respect to the experiences of residents (ω(2) = 0.16) and assisted-living clients (ω(2) = 0.15). However, the relation between prior performance and improvement could also be demonstrated with respect to the experiences reported by representatives of psychogeriatric patients and by assisted-living clients. For representatives of psychogeriatric patients, the performance groups 1 and 2 ([much] below average) improved significantly more than the other three groups (ω(2) = 0.05). CONCLUSIONS Both hypotheses were confirmed: almost all indicator scores improved over time and long-term care organizations for the elderly with substandard performance improved more than those with a performance which was already relatively good.
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Affiliation(s)
- Marloes Zuidgeest
- TRANZO, Scientific Centre for care and welfare, Faculty of Social and Behavioral Sciences, Tilburg University, PO Box 90153, 5000 LE Tilburg, the Netherlands
| | - Diana MJ Delnoij
- TRANZO, Scientific Centre for care and welfare, Faculty of Social and Behavioral Sciences, Tilburg University, PO Box 90153, 5000 LE Tilburg, the Netherlands
- Centre for Consumer Experience in Healthcare, P.O. Box 1568, 3500 BN Utrecht, the Netherlands
| | - Katrien G Luijkx
- TRANZO, Scientific Centre for care and welfare, Faculty of Social and Behavioral Sciences, Tilburg University, PO Box 90153, 5000 LE Tilburg, the Netherlands
| | - Dolf de Boer
- Centre for Consumer Experience in Healthcare, P.O. Box 1568, 3500 BN Utrecht, the Netherlands
- NIVEL, Netherlands Institute for Health Services Research, PO Box 1568, 3500 BN Utrecht, the Netherlands
| | - Gert P Westert
- TRANZO, Scientific Centre for care and welfare, Faculty of Social and Behavioral Sciences, Tilburg University, PO Box 90153, 5000 LE Tilburg, the Netherlands
- IQ Healthcare, Scientific Institute for Quality of Healthcare, Radboud University Nijmegen Medical Centre, PO Box 9101, 114, 6500 HB Nijmegen, the Netherlands
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Abstract
Recent trends in U.S. long-term care policy reflect three broad goals Americans have for the quality of long-term care: improving quality of life, reducing fragmentation of delivery and financing, and increasing use of home and community-based care. At the same time, market-based reforms--namely, public reporting and pay-for-performance--have taken on their own momentum, aimed at improving the clinical quality of care among nursing home and home health care providers. The focus of reporting systems should be broadened to include quality of life in addition to clinical quality and to make measures less dependent on the setting in which care is delivered.
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20
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Werner RM, Konetzka RT, Stuart EA, Polsky D. Changes in patient sorting to nursing homes under public reporting: improved patient matching or provider gaming? Health Serv Res 2010; 46:555-71. [PMID: 21105869 DOI: 10.1111/j.1475-6773.2010.01205.x] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVE To test whether public reporting in the setting of postacute care in nursing homes results in changes in patient sorting. DATA SOURCES/STUDY SETTING All postacute care admissions from 2001 to 2003 in the nursing home Minimum Data Set. STUDY DESIGN We test changes in patient sorting (or the changes in the illness severity of patients going to high- versus low-scoring facilities) when public reporting was initiated in nursing homes in 2002. We test for changes in sorting with respect to pain, delirium, and walking and then examine the potential roles of cream skimming and downcoding in changes in patient sorting. We use a difference-in-differences framework, taking advantage of the variation in the launch of public reporting in pilot and nonpilot states, to control for underlying trends in patient sorting. PRINCIPAL FINDINGS There was a significant change in patient sorting with respect to pain after public reporting was initiated, with high-risk patients being more likely to go to high-scoring facilities and low-risk patients more likely to go to low-scoring facilities. There was also an overall decrease in patient risk of pain with the launch of public reporting, which may be consistent with changes in documentation of pain levels (or downcoding). There was no significant change in sorting for delirium or walking. CONCLUSIONS Public reporting of nursing home quality improves matching of high-risk patients to high-quality facilities. However, efforts should be made to reduce the incentives for downcoding by nursing facilities.
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Affiliation(s)
- Rachel M Werner
- Center for Health Equity Research and Promotion, Philadelphia VAMC, Division of General Internal Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA.
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21
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Park J, Konetzka RT, Werner RM. Performing well on nursing home report cards: does it pay off? Health Serv Res 2010; 46:531-54. [PMID: 21029093 DOI: 10.1111/j.1475-6773.2010.01197.x] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVE To examine whether high performance or improvement on quality measures leads to economic rewards for nursing homes in the presence of public reporting. DATA SOURCES Data from 6,286 freestanding Medicare-certified nursing homes between 1999 and 2005 were identified in Medicare Cost Reports, Minimum Data Set, and Online Survey and Certification Reporting System. STUDY DESIGN Using a facility-level fixed-effects model, the effect of public reporting on financial performance was measured by comparing each of four financial outcomes (revenues, expenses, operating, and total profit margins) before (1999-2002) to after (2003-2005) public reporting was initiated. The effects were estimated separately by level of performance and improvement over time. PRINCIPAL FINDINGS Facilities that improved on publicly reported performance had increased revenues and higher profit margins after public reporting, mainly through increased Medicare admissions. High-scoring facilities showed similar patterns, though differences were not statistically significant. CONCLUSIONS Providers that improve their performance under public reporting may receive a return on their investment in quality improvement. This supports the business case for public reporting.
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Affiliation(s)
- Jeongyoung Park
- American Board of Internal Medicine, Philadelphia, PA 19106, USA.
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22
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Changes in Clinical and Hotel Expenditures Following Publication of the Nursing Home Compare Report Card. Med Care 2010; 48:869-74. [PMID: 20733531 DOI: 10.1097/mlr.0b013e3181eaf6e1] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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