scholarly journals High Medicaid Nursing Homes: Organizational and Market Factors Associated With Financial Performance

2019 ◽  
Vol 56 ◽  
pp. 004695801882506
Author(s):  
Robert Weech-Maldonado ◽  
Justin Lord ◽  
Rohit Pradhan ◽  
Ganisher Davlyatov ◽  
Neeraj Dayama ◽  
...  
Keyword(s):  
Nursing Homes ◽  
Financial Performance ◽  
Nurse Practitioners ◽  
Fixed Effects ◽  
Market Competition ◽  
Physician Assistants ◽  
Occupancy Rate ◽  
Term Care ◽  
For Profit ◽  
Market Factors

High Medicaid nursing homes (85% and higher of Medicaid residents) operate in resource-constrained environments. High Medicaid nursing homes (on average) have lower quality and poorer financial performance. However, there is significant variation in performance among high Medicaid nursing homes. The purpose of this study is to examine the organizational and market factors that may be associated with better financial performance among high Medicaid nursing homes. Data sources included Long-Term Care Focus (LTCFocus), Centers for Medicare and Medicaid Services’ (CMS) Medicare Cost Reports, CMS Nursing Home Compare, and the Area Health Resource File (AHRF) for 2009-2015. There were approximately 1108 facilities with high Medicaid per year. The dependent variables are nursing homes operating and total margin. The independent variables included size, chain affiliation, occupancy rate, percent Medicare, market competition, and county socioeconomic status. Control variables included staffing variables, resident quality, for-profit status, acuity index, percent minorities in the facility, percent Medicaid residents, metropolitan area, and Medicare Advantage penetration. Data were analyzed using generalized estimating equations with state and year fixed effects. Results suggest that organizational and market slack resources are associated with performance differentials among high Medicaid nursing homes. Higher financial performing facilities are characterized as having nurse practitioners/physician assistants, more beds, higher occupancy rate, higher Medicare and Medicaid census, and being for-profit and located in less competitive markets. Higher levels of Registered Nurse (RN) skill mix result in lower financial performance in high Medicaid nursing homes. Policy and managerial implications of the study are discussed.

scholarly journals Malpractice Environment vs Direct Litigation: What Drives Nursing Home Exit?

2018 ◽  
Vol 55 ◽  
pp. 004695801878799
Author(s):  
R. Tamara Konetzka ◽  
Hari Sharma ◽  
Jeongyoung Park
Keyword(s):  
Nursing Home ◽  
Nursing Homes ◽  
Fixed Effects ◽  
Online Survey ◽  
Market Competition ◽  
Consumer Welfare ◽  
Data Sets ◽  
For Profit ◽  
The Impact ◽  
The Relationship

An ongoing concern about medical malpractice litigation is that it may induce provider exit, potentially affecting consumer welfare. The nursing home sector is subject to substantial litigation activity but remains generally understudied in terms of the effects of litigation, due perhaps to a paucity of readily available data. In this article, we estimate the association between litigation and nursing home exit (closure or change in ownership), separating the impact of malpractice environment from direct litigation. We use 2 main data sources for this study: Westlaw’s Adverse Filings database (1997-2005) and Online Survey, Certification and Reporting data sets (1997-2005). We use probit models with state and year fixed effects to examine the relationship between litigation and the probability of nursing home closure or change in ownership with and without adjustment for malpractice environment. We examine the relationship on average and also stratify by profit status, chain membership, and market competition. We find that direct litigation against a nursing home has a nonsignificant effect on the probability of closure or change in ownership within the subsequent 2 years. In contrast, the broader malpractice environment has a significant effect on change in ownership, even for nursing homes that have not been sued, but not on closure. Effects are stronger among for-profit and chain facilities and those in more competitive markets. A high-risk malpractice environment is associated with change of ownership of nursing homes regardless of whether they have been directly sued, indicating that it is too blunt an instrument for weeding out low-quality nursing homes.

scholarly journals Employing Nurse Practitioners and Physician Assistants in Nursing Homes: Role of Market Factors

2014 ◽  
Vol 2 (3) ◽  
Author(s):  
Shivani Gupta ◽  
Josué Patien Epané ◽  
Nitish Patidar ◽  
Robert Weech-Maldonado
Keyword(s):  
Nursing Homes ◽  
Nurse Practitioners ◽  
Physician Assistants ◽  
Market Factors

scholarly journals 2051. Frequency of Inappropriate Antibiotic Prescribing in Nursing Homes

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S691-S691
Author(s):  
Chitra Kanchagar ◽  
Brie N Noble ◽  
Christopher Crnich ◽  
Jessina C McGregor ◽  
David T Bearden ◽  
...  
Keyword(s):  
Nursing Homes ◽  
Tract Infection ◽  
Multidrug Resistant ◽  
Antibiotic Prescribing ◽  
Prescribing Practices ◽  
Term Care ◽  
Antibiotic Overuse ◽  
For Profit ◽  
Memory Care ◽  
Minimum Criteria

Abstract Background Antibiotics are among the most prescribed medications in nursing homes (NHs). The increasing incidence of multidrug-resistant and C. Difficile infections due to antibiotic overuse has driven the requirement for NHs to establish antibiotic stewardship programs (ASPs). However, estimates of the frequency of inappropriate antibiotic prescribing in NHs have varied considerably between studies. We evaluated the frequency of inappropriate antibiotic prescribing in a multi-state sample of NHs. Methods We utilized a retrospective, (20%) random sample of residents of 17 for-profit NHs in Oregon, California, and Nevada who received antibiotics between January 1, 2017 and May 31, 2018. Study NHs ranged in size from 50 to 188 beds and offered services including subacute care, long-term care, ventilator care, and Alzheimer’s/memory care. Data were collected from residents’ electronic medical records. Antibiotic appropriateness was defined using Loeb Minimum Criteria for initiation of antibiotics for residents with indications for lower respiratory tract infection (LRTI), urinary tract infection (UTI) and skin and soft-tissue infection (SSTI). Residents with other types of infections were excluded from the study. Results Among 232 antibiotic prescriptions reviewed, 61% (141/232) were initiated in the NH. Of these, 65% were for female residents and 81% were for residents above the age of 65. Nearly 70% (98/141) of antibiotic prescriptions were for an indication of an LRTI, UTI, or SSTI of which 51% (57% of LRTIs, 52% of UTIs, and 35% of SSTIs) did not meet the Loeb Minimum Criteria and were determined to be inappropriate. Among antibiotics that did not meet the Loeb Minimum Criteria, more than half were cephalosporins (40%) or fluoroquinolones (14%) and the median (interquartile range) duration of therapy was 7 (5–10) days. Conclusion These data from a multi-state sample of NHs suggest the continued need for improvement in antibiotic prescribing practices and the importance of ASPs in NHs. Disclosures All authors: No reported disclosures.

scholarly journals Culture Change Initiatives in High Medicaid Nursing Homes: Does Time of Adoption Make a Difference?

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 22-23
Author(s):  
Latarsha Chisholm ◽  
Akbar Ghiasi ◽  
Justin Lord ◽  
Robert Weech-Maldonado
Keyword(s):  
Nursing Home ◽  
Nursing Homes ◽  
Culture Change ◽  
Fixed Effects ◽  
Ethnic Disparities ◽  
State Level ◽  
Change Initiatives ◽  
Term Care ◽  
Star Rating ◽  
Racial Ethnic

Abstract Racial/ethnic disparities have been well documented in long-term care literature. As the population ages and becomes more diverse over time, it is essential to identify mechanisms that may eliminate or mitigate racial/ethnic disparities. Culture change is a movement to transition nursing homes to more home-like environments. The literature on culture change initiatives and quality has been mixed, with little to no literature on the use of culture change initiatives in high Medicaid nursing homes and quality. The purpose of this study was to examine how the involvement of culture change initiatives among high Medicaid facilities was associated with nursing home quality. The study relied on both survey and secondary nursing home data for the years 2017-2018. The sample included high Medicaid (85% or higher) nursing homes. The outcome of interest was the overall nursing home star rating obtained from the Nursing Home Compare Five-Star Quality Rating System. The primary independent variable of interest was the years of involvement in culture change initiatives among nursing homes, which was obtained from the nursing home administrator survey. The final model consisted of an ordinal logistic regression with state-level fixed effects. High-Medicaid nursing homes with six or more years in culture change initiatives had higher odds of having a higher star rating, while facilities with one year or less had significantly lower odds of having a higher star rating. Culture change initiatives may require some time to effectively implement, but these initiatives are potential mechanisms to improve quality in high Medicaid nursing homes.

scholarly journals Long-term Care Facility Variation in the Incidence of Pneumonia and Influenza

2019 ◽  
Vol 6 (6) ◽  
Author(s):  
Elliott Bosco ◽  
Andrew R Zullo ◽  
Kevin W McConeghy ◽  
Patience Moyo ◽  
Robertus van Aalst ◽  
...  
Keyword(s):  
Nurse Practitioners ◽  
Long Term Care ◽  
Care Facility ◽  
Physician Assistants ◽  
Incidence Rates ◽  
Short Stay ◽  
Term Care ◽  
Data Set ◽  
Facility Level

Abstract Background Pneumonia and influenza (P&I) increase morbidity and mortality among older adults, especially those residing in long-term care facilities (LTCFs). Facility-level characteristics may affect the risk of P&I beyond resident-level risk factors. However, the relationship between facility characteristics and P&I is poorly understood. To address this, we identified potentially modifiable facility-level characteristics that influence the incidence of P&I across LTCFs. Methods We conducted a retrospective cohort study using 2013–2015 Medicare claims linked to Minimum Data Set and LTCF-level data. Short-stay (<100 days) and long-stay (100+ days) LTCF residents were followed for the first occurrence of hospitalization, LTCF discharge, Medicare disenrollment, or death. We calculated LTCF risk-standardized incidence rates (RSIRs) per 100 person-years for P&I hospitalizations by adjusting for over 30 resident-level demographic and clinical covariates using hierarchical logistic regression. Results We included 1 767 241 short-stay (13 683 LTCFs) and 922 863 long-stay residents (14 495 LTCFs). LTCFs with lower RSIRs had more licensed independent practitioners (nurse practitioners or physician assistants) among short-stay (44.9% vs 41.6%, P < .001) and long-stay residents (47.4% vs 37.9%, P < .001), higher registered nurse hours/resident/day among short-stay and long-stay residents (mean [SD], 0.5 [0.7] vs 0.4 [0.4], P < .001), and fewer residents for whom antipsychotics were prescribed among short-stay (21.4% [11.6%] vs 23.6% [13.2%], P < .001) and long-stay residents (22.2% [14.3%] vs 25.5% [15.0%], P < .001). Conclusions LTCF characteristics may play an important role in preventing P&I hospitalizations. Hiring more registered nurses and licensed independent practitioners, increasing staffing hours, and higher-quality care practices may be modifiable means of reducing P&I in LTCFs.

scholarly journals Substituting physicians with nurse practitioners, physician assistants or nurses in nursing homes: protocol for a realist evaluation case study

BMJ Open ◽  
2017 ◽  
Vol 7 (6) ◽  
pp. e015134 ◽  
Author(s):  
Marleen Hermien Lovink ◽  
Anke Persoon ◽  
Anneke JAH van Vught ◽  
Lisette Schoonhoven ◽  
Raymond TCM Koopmans ◽  
...  
Keyword(s):  
Nursing Homes ◽  
Nurse Practitioners ◽  
Physician Assistants ◽  
Realist Evaluation

The Privatization of Public Hospitals: Its Impact on Financial Performance

2018 ◽  
Vol 77 (3) ◽  
pp. 249-260 ◽  
Author(s):  
Zo Ramamonjiarivelo ◽  
Robert Weech-Maldonado ◽  
Larry Hearld ◽  
Rohit Pradhan ◽  
Ganisher K. Davlyatov
Keyword(s):  
Financial Performance ◽  
Fixed Effects ◽  
Public Hospitals ◽  
For Profit ◽  
Not For Profit ◽  
Panel Regressions ◽  
Public Status ◽  
Operating Margin ◽  
Tm Model ◽  
And Control

This study examined the effects of public hospitals’ privatization on financial performance. We used a sample of nonfederal acute care public hospitals from 1997 to 2013, averaging 434 hospitals per year. Privatization was defined as conversion from public status to either private not-for-profit (NFP) or private for-profit (FP) status. Financial performance was measured by operating margin (OM) and total margin (TM). We used hospital level and year fixed effects linear panel regressions with nonlagged independent and control variables (Model 1), lagged by 1 year (Model 2), and lagged by 2 years (Model 3). Privatization to FP was associated with 17% higher OM (Model 2) and 9% higher OM (Model 3), compared with 3%, 4%, and 6% higher OM for privatization to NFP for all three Models, respectively. Privatization to FP was associated with 7% higher TM (Model 2) and privatization to NFP was associated with 2% higher TM (Model 3).

scholarly journals Empty Beds in Nursing Homes Filled by Younger Individuals Following ACA Medicaid Eligibility Expansion

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 181-181
Author(s):  
Ashley Ritter ◽  
Norma Coe ◽  
Salama Freed
Keyword(s):  
Nursing Homes ◽  
Patient Outcomes ◽  
Low Income ◽  
Fixed Effects ◽  
Severity Index ◽  
Occupancy Rate ◽  
Percentage Point Increase ◽  
Medicaid Eligibility ◽  
Facility Level ◽  
Occupancy Rates

Abstract National decline in nursing home occupancy rates coupled with expansion of Medicaid insurance eligibility under the Affordable Care Act (ACA) potentially create an opportunity for younger, low-income individuals to enter nursing homes following a hospitalization. Changes in the population of individuals using nursing homes could result in downstream consequences on facility payor mix, case severity index, and ultimately patient outcomes. This study measures the effect of ACA Medicaid eligibility expansion on the patient population using nursing homes, accounting for the nursing homes’ occupancy rate. Data were obtained from the publicly available national dataset, LTCfocus (2009-2016). Difference in differences estimation with time and state fixed effects was utilized to examine the effect of ACA Medicaid eligibility expansion on two outcomes, 1) average age in years of residents as of April 1 and 2) the proportion of individuals covered by Medicaid insurance at the facility level. Results show facilities with pre-ACA occupancy rates between 40% and 50% demonstrated the largest decrease in average age by year three, 1.32 years [95% CI: -2.257, -0.385]. Facilities with a pre-ACA occupancy rate of 60-70% demonstrated the largest increase in the proportion of individuals covered by Medicaid in year one, a 5.5 percentage point increase [95% CI: 0.009, 0.102]. In summary, Medicaid expansion under the ACA resulted in an increase in younger individuals and individuals covered by Medicaid using nursing homes, varying across pre-ACA occupancy rates. It remains to be studied if increased utilization of this high cost setting provides superior patient outcomes for these populations.

scholarly journals Nursing Home Factors and Their Impact on COVID-19 Cases: A Study of Wisconsin State

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 884-884
Author(s):  
Mohammed Abahussain ◽  
Priya Nambisan ◽  
Colleen Galambos ◽  
Bo Zhang ◽  
Elizabeth Bukowy
Keyword(s):  
Nursing Home ◽  
Nursing Homes ◽  
Missing Values ◽  
Organizational Factors ◽  
Data Sets ◽  
Occupancy Rate ◽  
Free Standing ◽  
Staff Shortage ◽  
For Profit ◽  
Nurse Aides

Abstract COVID-19 has been devastating for Nursing Homes (NHs). The concentration of older adults with underlying chronic conditions inevitably made the setting highly vulnerable leading to high rates of mortality for residents. However, some nursing homes fared better than others. This study examines several quality measures and organizational factors to understand whether these factors are associated with COVID-19 cases in Wisconsin. We combined three datasets from Centers for Medicare & Medicaid Services (CMS) – the Star Rating dataset, Provider Information dataset and COVID-19 Nursing Home dataset. Data used is from the period of Jan 1 – Oct 25, 2020 for the state of Wisconsin. The analysis includes 331 free-standing NHs with no missing values from the data sets. The variables used were self-reported information on nursing home ratings, staff shortage, staff reported hours, occupancy rate, number of beds and ownership. Of the 331 NHs examined, shortages were reported of 25.4%, 31.1%, 3.2% and 15.6% of licensed nurse staff (25.4%), nurse aides (31.1%), clinical staff, (3.2%) and other staff (15.6%) Additionally, there was a significant (p<.05) positive correlation between number of beds and COVID-19 cases, and there was no statistically significant association between occupancy rate and COVID-19 cases. NHs with better star ratings were also found to have less COVID-19 cases. Interestingly, private NHs had significantly higher COVID-19 cases than for-profit and government owned NHs, a finding that is congruent with other studies in this area. Recommendations for practice will be discussed.

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