scholarly journals Deficiency Citations in Nursing Homes That Predominantly Serve Residents With Serious Mental Illness

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 88-89
Author(s):  
Dylan Jester ◽  
Kathryn Hyer ◽  
John Bowblis

Abstract Studies suggest that nursing homes (NHs) that predominantly serve residents with serious mental illness (SMI) are of worse quality due to poor resources (i.e., high Medicaid-paying census) and lower staffing. We used national Certification and Survey Provider Enhanced Reports (CASPER) data to examine the deficiencies issued to NHs from 37,800 recertification inspections of 14,582 unique NHs from 2014 to 2017. NHs were categorized into “low-SMI” and “high-SMI” facilities using the lowest and highest quartiles, respectively, of the proportion of residents in the NH with SMI. Bivariate analyses were used to assess for differences between low-SMI and high-SMI NHs in the number of deficiencies, the deficiency score (a point-based metric developed by the Centers for Medicare & Medicaid Services), and the scope and severity of deficiencies. In total, there were 245,178 deficiencies issued. In comparison to low-SMI NHs, high-SMI NHs received a greater deficiency score and more deficiencies per survey (p<.001). Deficiencies given to high-SMI NHs were associated with greater risk of harm (p<.001) and were of wider scope (p<.001). High-SMI NHs were cited 215% more often for resident abuse or neglect and 61% more often for the policies that prohibit and monitor for risk of abuse and neglect in comparison to low-SMI NHs. In conclusion, high-SMI NHs were documented for providing worse care to residents, with one particular area of concern being the heightened risk of resident abuse and neglect. Implications for policy and practice will be discussed.

2020 ◽  
Vol 60 (7) ◽  
pp. 1312-1321 ◽  
Author(s):  
Dylan J Jester ◽  
Kathryn Hyer ◽  
John R Bowblis

Abstract Background and Objectives Nursing homes (NHs) are serving greater proportions of residents with serious mental illness (SMI), and it is unclear whether this affects NH quality. We analyze the highest and lowest quartiles of NHs based on the proportion of residents with SMI and compare these NHs on facility characteristics, staffing, and quality stars. Research Design and Methods National Certification and Survey Provider Enhanced Reports data were merged with NH Compare data for all freestanding certified NHs in the continental United States in 2016 (N = 14,460). NHs were categorized into “low-SMI” and “high-SMI” facilities using the lowest and highest quartiles, respectively, of the proportion of residents in the NH with SMI. Bivariate analyses and logistic models were used to examine differences in organizational structure, payer mix, resident characteristics, and staffing levels associated with high-SMI NHs. Linear models examined differences in quality stars. Results High-SMI facilities were found to report lower direct-care staffing hours, have a greater Medicaid-paying resident census, were more likely to be for-profit, and scored lower on all NH Compare star ratings in comparison to all other NHs. Discussion and Implications As the SMI population in NHs continues to grow, a large number of residents have concentrated in a few NHs. These are uniquely different from typical NHs in terms of facility characteristics, staffing, and care practices. While further research is needed to understand the implications of these trends, public policymakers and NH providers need to be aware of this population’s unique—and potentially unmet—needs.


2006 ◽  
Author(s):  
Victor A. Molinari ◽  
Stacy Merritt ◽  
Whitney Mills ◽  
Kathy Hyer ◽  
Ann Conboy ◽  
...  

Author(s):  
Denise Gammonley ◽  
Xiaochuan Wang ◽  
Kelsey Simons ◽  
Kevin M. Smith ◽  
Mercedes Bern-Klug

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 82-83
Author(s):  
Kallol Kumar Bhattacharyya ◽  
Lindsay Peterson ◽  
John Bowblis ◽  
Kathryn Hyer

Abstract Complaints provide important information to consumers about nursing homes (NHs). Complaints that are substantiated often lead to an investigation and potentially a deficiency citation. The purpose of this study is to understand the relationship between substantiated complaints and deficiency citations. Because a complaint may contain multiple allegations, and the data do not identify which allegation(s) lead to a complaint’s substantiation, we identified all substantiated single allegation complaints for NHs in 2017. Our data were drawn from federally collected NH complaint and inspection records. Among the 369 substantiated single-allegation complaints, we found most were categorized as quality of care (31.7%), resident abuse (17.3%), or resident neglect (14.1%). Of the deficiency citations resulting from complaints in our sample, 27.9% were categorized as quality of care and 19.5% were in the category of resident behavior and facility practices, which includes abuse and neglect. While two-thirds (N=239) of the substantiated complaints generated from 1 to 19 deficiency citations, nearly one third had no citations. Surprisingly, 28% of substantiated abuse and neglect allegations resulted in no deficiency citations. More surprisingly, a fifth of complaints that were categorized as “immediate jeopardy” at intake did not result in any deficiency citations. We also found a number of asymmetries in the allegation categories suggesting different processes by Centers for Medicare and Medicaid Services (CMS) region. These results suggest that the compliant investigation process warrants further investigation. Other policy and practice implications, including the need for better and more uniform investigation processes and staff training, will be discussed.


Author(s):  
Cassandra L. Hua ◽  
Portia Y. Cornell ◽  
Sheryl Zimmerman ◽  
Jaclyn Winfree ◽  
Kali S. Thomas

2008 ◽  
Vol 29 (1) ◽  
pp. 66-83 ◽  
Author(s):  
Victor A. Molinari ◽  
Stacy S. Merritt ◽  
Whitney L. Mills ◽  
David A. Chiriboga ◽  
Ann Conboy ◽  
...  

Medical Care ◽  
2013 ◽  
Vol 51 (8) ◽  
pp. 659-665 ◽  
Author(s):  
Hyungjin M. Kim ◽  
Jane Banaszak-Holl ◽  
Helen Kales ◽  
Jennifer Mach ◽  
Fred Blow ◽  
...  

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