Nursing Home Quality Research Articles

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.

BackgroundIn 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. ObjectiveWe 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.MethodsWe 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. ResultsWe 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. ConclusionsThe 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

Role of Nursing Home Quality on COVID-19 Cases and Deaths: Evidence from Florida Nursing Homes

ABSTRACT The Coronavirus disease 2019 (COVID-19) disproportionately affects nursing home residents, resulting in an elevated risk for COVID-19 morbidity and mortality for this frail population. It is critical to understand whether nursing home quality is related to COVID-19 cases and deaths. Using publicly available data obtained from Centers for Medicare & Medicaid Services COVID-19 Nursing Home Dataset, Nursing Home Compare and Long-Term Care Focus, this study compares key nursing home characteristics, infection prevention and control deficiencies, and five-star ratings among Florida nursing homes with and without resident COVID-19 cases and deaths. The study further examines the association between facility and resident characteristics, quality indicators, and COVID-19 cases and deaths. Findings from our study indicate that through late October 2020, over 90% of Florida nursing homes have at least one resident case and 65% have at least one resident death. The likelihood of having COVID-19 cases is more related to ownership status, facility size and average occupancy rate, rather than quality indicators. Associations between infection prevention and control deficiencies, overall quality ratings, and presence of COVID-19 resident deaths varied across different phases of the pandemic (e.g., overall five-star rating was found related to the odds of having resident deaths after, but not during, the surging stage). Training, uptake, and adherence to infection control procedures are needed to better protect the vulnerable nursing home resident population.

Nursing home care under Medicaid managed long-term services and supports.

To measure the impact of Medicaid managed long-term services and supports (MLTSS) on nursing home (NH) quality and rebalancing. This study analyzes secondary data from annual NH recertification surveys and the minimum dataset (MDS) in three states that implemented MLTSS: Massachusetts (2001-2007), Kansas and Ohio (2011-2017). We utilized a difference-in-difference approach comparing NHs in border counties of states that implemented MLTSS with a control group of NHs in neighboring border counties in states that did not implement MLTSS. Sensitivity analyses included a triple-difference model (stratified by Medicaid payer mix) and a within-state comparison. We examined changes in six NH-level outcomes (percentage of low-care NH residents, facility occupancy, and four NH quality measures) after MLTSS implementation. For each state, all freestanding NHs in border counties were included, as were NHs in neighboring counties located in other states. Information on low-care residents was aggregated to the NH level from MDS data, then combined with Online Survey Certification and Reporting (OSCAR) and Certification and Survey Provider Enhanced Reporting (CASPER) data. MLTSS had no statistically significant effects on NH quality outcomes in Massachusetts or Kansas. In Ohio, MLTSS led to an increase of 0.21 nursing hours per resident day [95% CI: 0.03, 0.40], and a decrease of 1.47 deficiencies [95% CI: -2.52, -0.42] and 9.38 deficiency points [95% CI: -18.53, -0.24] per certification survey. After MLTSS, occupancy decreased by 1.52 percentage points [95% CI: -2.92, -0.12] in Massachusetts, but increased by 3.17 percentage points [95% CI: 0.36, 5.99] in Ohio. We found no effect on low-care residents in any state. Findings were moderately sensitive to the choice of comparator group. The study provides little evidence that MLTSS reduces quality of care, occupancy, or the percentage of low-care residents in NHs.

Smart Case Review: A Model For Successful Remote Medical Direction and Enhanced Nursing Home Quality Improvement

This article describes how medical directors can use a strategic approach [Smart Case Review (SCR)] to perform effective and efficient clinical case reviews and key medical director oversight functions simultaneously. SCR can be done either on-site or remotely, by using existing information in the medical record for a focused clinical discussion of patient symptoms and issues while simultaneously evaluating related clinical practices and facility processes and performance. Common problem-solving and cause identification methods apply to both patient- and process-related reviews. This approach supports effective and efficient medical direction and facility quality improvement. Unlike most current approaches to quality assurance and performance improvement, SCR begins by reviewing cases and then aggregates the findings, instead of vice versa. Although the electronic medical record (EMR) facilitates the process, it can be done without an EMR. Any medical director can potentially use this approach, and it is relevant to any long-term and postacute care facility. This method could potentially transform the approach to medical direction, evaluating quality and improving care, and the nursing home survey process.

A cross-sectional study using the national standard to examine differences between public and private non-profit nursing homes in China.

Most studies on nursing home quality focus on developed countries, with little coverage in developing countries. Our study aimed to compare the differences between Chinese public and private non-profit nursing homes using the latest national standard. A cross-sectional study was conducted including 232 nursing homes in Jiangsu and Zhejiang provinces, China. We conducted statistical analyses (chi-square and independent sample t test) to investigate differences in public and private non-profit nursing homes. We fitted a binary logistic regression model with whether or not the nursing home received a 3-star or higher rating as the dependent variable, and the ownership type as explanatory variable, after adjusting for nursing home characteristics. Of the 232 nursing homes included in the study sample, 44.8% were public nursing homes and 55.2% were private non-profit nursing homes. The t test analysis comparing the measures of nursing homes yielded significant results for 4 measures, 3 of which (overall rating, environment, and services) favored private non-profit nursing homes. A regression analysis using whether or not the nursing home received a 3-star or higher rating as the dependent variable showed that when adjusting for nursing home characteristics, private non-profit nursing homes were more likely to have a 3 or higher star compared with public nursing homes (odds ratio=1.961, 95% confidence interval:1.056-3.643). These results suggested that private non-profit nursing homes performed better than public nursing homes when using the Chinese national standard for nursing homes.

Gender differences in performance-driven managerial innovation: evidence from US nursing homes

The management literature has highlighted the role of a manager’s gender in adopting and practicing managerial innovation. The conditions that affect female (or male) managers’ decision making on innovations, however, have been less explored. Using a national survey of top-level administrators in US nursing homes and archival nursing home quality data, this study examines how performance information shapes gender differences in managerial innovation adoption. We find that female managers are more likely to adopt innovations relative to male managers, particularly when they perform better than they have in past years. Our findings, however, do not support a gender difference in innovation adoption when a nursing home performs worse than other competing organizations. The findings provide important implications on how a manager’s gender produces systematic differences in innovation adoption related to performance information.

The association of nursing home quality ratings and spread of COVID-19.

ObjectivesThe coronavirus disease 2019 (COVID‐19) pandemic has severely affected nursing home residents. Given the continued high incidence of COVID‐19, and the likelihood that new variants and other infectious agents may cause future outbreaks, we sought to understand the relationship of nursing home quality ratings and measures of COVID‐19 outbreak severity and persistence.DesignWe analyzed nursing home facility‐level data on COVID‐19 cases and deaths, county‐level COVID‐19 rates, and nursing home data from the Centers for Medicare & Medicaid Services (CMS), including ratings from the CMS Nursing Home Five‐Star Quality Rating System. We used regression analysis to examine the association between star ratings and cumulative COVID‐19 incidence and mortality as well as persistent high resident incidence.SettingAll nursing homes in the CMS COVID‐19 Nursing Home Dataset reporting data that passed quality assurance checks for at least 20 weeks and that were included in the January 2021 Nursing Home Care Compare update.ParticipantsResidents of the included nursing homes.MeasurementsCumulative resident COVID‐19 incidence and mortality through January 10, 2021; number of weeks with weekly resident incidence of COVID‐19 in the top decile nationally.ResultsAs of January 10, 2021, nearly all nursing homes (93.6%) had reported at least one case of COVID‐19 among their residents, more than three‐quarters (76.9%) had reported at least one resident death, and most (83.5%) had experienced at least 1 week in the top decile of weekly incidence. In analyses adjusted for facility and county‐level characteristics, we found generally consistent relationships between higher nursing home quality ratings and lower COVID‐19 incidence and mortality, as well as with fewer high‐incidence weeks.ConclusionNursing home quality ratings are associated with COVID‐19 incidence, mortality, and persistence. Nursing homes receiving five‐star ratings, for overall quality as well as for each domain, had lower COVID‐19 rates among their residents.

Enhancing sleep quality for nursing home residents with dementia: a pragmatic randomized controlled trial of an evidence-based frontline huddling program

BackgroundDisturbed sleep places older adults at higher risk for frailty, morbidity, and even mortality. Yet, nursing home routines frequently disturb residents’ sleep through use of noise, light, or efforts to reduce incontinence. Nursing home residents with Alzheimer’s disease and or related dementias—almost two-thirds of long-stay nursing home residents—are likely to be particularly affected by sleep disturbance. Addressing these issues, this study protocol implements an evidence-based intervention to improve sleep: a nursing home frontline staff huddling program known as LOCK. The LOCK program is derived from evidence supporting strengths-based learning, systematic observation, relationship-based teamwork, and efficiency.MethodsThis study protocol outlines a NIH Stage III, real-world hybrid efficacy-effectiveness pragmatic trial of the LOCK sleep intervention. Over two phases, in a total of 27 non-VA nursing homes from 3 corporations, the study will (1) refine the LOCK program to focus on sleep for residents with dementia, (2) test the impact of the LOCK sleep intervention for nursing home residents with dementia, and (3) evaluate the intervention’s sustainability. Phase 1 (1 year; n = 3 nursing homes; 1 per corporation) will refine the intervention and train-the-trainer protocol and pilot-tests all study methods. Phase 2 (4 years; n = 24 nursing homes; 8 per corporation) will use the refined intervention to conduct a wedge-design randomized, controlled, clinical trial. Phase 2 results will measure the LOCK sleep intervention’s impact on sleep (primary outcome) and on psychotropic medication use, pain and analgesic medication use, and activities of daily living decline (secondary outcomes). Findings will point to inter-facility variation in the program’s implementation and sustainability.DiscussionThis is the first study to our knowledge that applies a dementia sleep intervention to systematically address known barriers to nursing home quality improvement efforts. This innovative study has future potential to address clinical issues beyond sleep (safety, infection control) and expand to other settings (assisted living, inpatient mental health). The study’s strong team, careful consideration of design challenges, and resulting rigorous, pragmatic approach will ensure success of this promising intervention for nursing home residents with dementia.Trial registrationNCT04533815, ClinicalTrials.gov, August 20, 2020.

Decomposing Racial and Ethnic Disparities in Nursing Home Influenza Vaccination

ObjectivesQuantify how observable characteristics contribute to influenza vaccination disparities among White, Black, and Hispanic nursing home (NH) residents. DesignRetrospective cohort. Setting and ParticipantsShort- and long-stay U.S. NH residents aged ≥65 years. MethodsWe linked Minimum Data Set (MDS) and Medicare data to LTCFocUS and other facility data. We included residents with 6-month continuous enrollment in Medicare and an MDS assessment between October 1, 2013, and March 31, 2014. Residents were classified as short-stay (<100 days in NH) or long-stay (≥100 days in NH). We fit multivariable logistic regression models to assess the relationships between 27 resident and NH-level characteristics and receipt of influenza vaccination. Using nonlinear Oaxaca-Blinder decomposition, we decomposed the disparity in influenza vaccination between White versus Black and White versus Hispanic NH residents. Analyses were repeated separately for short- and long-stay residents. ResultsOur study included 630,373 short-stay and 1,029,593 long-stay residents. Proportions vaccinated against influenza included 67.2% of White, 55.1% of Black, and 54.5% of Hispanic individuals among short-stay residents and 84.2%, 76.7%, and 80.8%, respectively among long-stay residents. Across 4 comparisons, the crude disparity in influenza vaccination ranged from 3.4 to 12.7 percentage points. By equalizing 27 prespecified characteristics, these disparities could be reduced 37.7% to 59.2%. Living in a predominantly White facility and proxies for NH quality were important contributors across all analyses. Characteristics unmeasured in our data (eg, NH staff attitudes and beliefs) may have also contributed significantly to the disparity. Conclusions and ImplicationsThe racial/ethnic disparity in influenza vaccination was most dramatic among short-stay residents. Intervening on factors associated with NH quality would likely reduce these disparities; however, future qualitative research is essential to explore potential contributors that were unmeasured in our data and to understand the degree to which these factors contribute to the overall disparity in influenza vaccination.

High Nursing Staff Turnover In Nursing Homes Offers Important Quality Information.

Nursing staff turnover has long been considered an important indicator of nursing home quality. However, turnover has never been reported on the Nursing Home Compare website, likely because of the lack of adequate data. On July 1, 2016, the Centers for Medicare and Medicaid Services began collecting auditable payroll-based daily staffing data for US nursing homes. We used 492million nurse shifts from these data to calculate a novel turnover metric representing the percentage of hours of nursing staff care that turned over annually at each of 15,645 facilities. Mean and median annual turnover rates for total nursing staff were roughly 128percent and 94percent, respectively. Turnover rates were correlated with facility location, for-profit status, chain ownership, Medicaid patient census, and star ratings. Disseminating facilities' nursing staff turnover rates on Nursing Home Compare could provide important quality information for policy makers, payers, and consumers, and it may incentivize efforts to reduce turnover.

Nursing home oversight during the COVID-19 pandemic.

Background/objectivesRegulatory oversight has been a central strategy to assure nursing home quality of care for decades. In response to COVID‐19, traditional elements of oversight that relate to resident care have been curtailed in favor of implementing limited infection control surveys and targeted complaint investigations. We seek to describe the state of nursing home oversight during the pandemic to facilitate a discussion of whether and how these activities should be altered going forward.Design and settingIn a retrospective study, we describe national oversight activities in January–June 2020 and compare these activities to the same time period from 2019. We also examine state‐level oversight activities during the peak months of the pandemic.ParticipantsUnited States nursing homes.DataPublicly available Quality, Certification, and Oversight Reports (QCOR) data from the Centers for Medicare and Medicaid Services (CMS).MeasurementsNumber of standard, complaint, and onsite infection surveys, number of deficiencies from standard and complaint surveys, number of citations by deficiency tag, and number and amount of civil monetary penalties.ResultsThe number of standard and complaint surveys declined considerably in the second quarter of 2020 relative to the same time frame in 2019. Deficiency citations generally decreased to near zero by April 2020 with the exception of infection prevention and control deficiencies and citations for failure to report COVID‐19 data to the national health safety network. Related enforcement actions were down considerably in 2020, relative to 2019.ConclusionIn the months since COVID‐19 first impacted nursing homes, regulatory oversight efforts have fallen off considerably. While CMS implemented universal infection control surveys and targeted complaint investigations, other routine aspects of oversight dropped in light of justifiable limits on nursing home entry. Going forward, we must develop policies that allow regulators to balance the demands of the pandemic while fulfilling their responsibilities effectively.

Amazing numbers and bottom rankings: the reporting of nursing home resident user surveys in the press

PurposeMedia reporting is one of many circumstances that nursing homes have to relate to, because of the reputational risks. The aim of this article is to investigate media representations of Swedish nursing homes in relation to reports on an annual national user survey.Design/methodology/approachThe empirical data consist of 381 Swedish newspaper articles about the survey results. The questions guiding the analysis were: what messages on nursing homes are communicated, and how are claims organized in order to appear factual?FindingsThe data show that press reports focus on comparisons of care units' survey results, eldercare representatives' explanations of the results, and what improvements will be made in order to do better in the next year's survey. With their use of truth-making rhetoric, press articles construct survey results as credible and valid, thus mirroring user perceptions and ultimately nursing home quality. The selection of nursing home representatives' comments equally reinforces the validity of claims.Originality/valueGiven nursing homes' problems with demonstrating success, the authors argue that media reports on the user survey is a way for eldercare organizations to achieve results in an otherwise resultless field, and while media reports might be seen as prompting change in nursing home care, what is ultimately achieved is the legitimation of a costly survey with low response rate.

Prevalence of psychotropic polypharmacy in nursing home residents with dementia: a meta-analysis.

Nursing home (NH) residents with dementia is exposed to high rates of psychotropic prescriptions. Our objectives were to: (1) pool the prevalence estimates of psychotropic polypharmacy from the existing literature and (2) examine potentially influential factors that are related to a higher or lower prevalence. Meta-analysis of data collected from randomized trials, quasi-experimental, prospective or retrospective cohort, and cross-sectional studies. English-language searches of PubMed and PsycINFO were completed by November 2020. Included studies reported prevalence estimates of psychotropic polypharmacy (i.e. defined as either two-or-more or three-or-more medications concurrently) in NH residents with dementia. NH residents with dementia. Random-effects models were used to pool the prevalence of psychotropic polypharmacy in NH residents with dementia across studies. Estimates were provided for both two-or-more and three-or-more concurrent medications. Heterogeneity and publication bias were measured. Meta-regression examined the influence of the percentage of the sample who were male, mean age of the sample, geographic region (continent), sample size, and study year on the prevalence of psychotropic polypharmacy. Twenty-five unique articles were included comprising medications data from 92,370 NH residents with dementia in 12 countries. One-in-three (33%, [95% CI: 28%, 39%]) NH residents with dementia received two-or-more psychotropic medications concurrently. One-in-eight (13%, [95% CI: 10%, 17%]) received three-or-more psychotropic medications concurrently. Estimates were highly variable across both definitions of psychotropic polypharmacy (p < 0.001). Among study-level demographics, geographic region, sample size, or study year, only male sex was associated with greater use of two-or-more psychotropic medications (Unadjusted OR = 1.02, p = 0.006; Adjusted OR = 1.04, p = 0.07). Psychotropic polypharmacy is common among NH residents with dementia. Identifying the causes of utilization and the effects on resident health and well-being should be prioritized by federal entities seeking to improve NH quality.

An Ecological Analysis of Quality Ratings and Inspections Associated with COVID-19 Outbreaks in Skilled Nursing Homes

Objectives: As COVID-19 spread across the United States, and most rapidly in skilled nursing homes, public health departments developed policies to mitigate the spread. Concerns grew over whether this spread linked to nursing home quality. Design: We collected data on nursing home quality, staffing, and COVID-19 cases from the Centers of Medicare and Medicaid Services. Demographic data was sourced from Long Term Care Focus. Settings and Participants: The analysis used cross-sectional data from 1,025 California skilled nursing homes including quality ratings and confirmed COVID-19 cases between May 17, 2020 and August 23, 2020. Methods: The dependent variable was confirmed COVID-19 cases among residents. The primary independent variables were Overall Rating and Health Inspection Rating, while also including nursing home beds, patient race composition, ownership and geographic classification. Results: 5-Star Overall Rating, 5-Star Health Inspection Rating, and a lower count of health inspection deficiencies each predicted a lower likelihood of having a confirmed COVID resident case (p&lt;.05). Conclusions and Implications: Skilled nursing homes with higher quality ratings and fewer health inspection deficiencies were less likely to have a confirmed case of COVID-19 among residents.

Nursing home staff networks and COVID-19

Nursing homes and other long-term care facilities account for a disproportionate share of COVID-19 cases and fatalities worldwide. Outbreaks in US nursing homes have persisted despite nationwide visitor restrictions beginning in mid-March. An early report issued by the Centers for Disease Control and Prevention identified staff members working in multiple nursing homes as a likely source of spread from the Life Care Center in Kirkland, WA, to other skilled nursing facilities. The full extent of staff connections between nursing homes-and the role these connections serve in spreading a highly contagious respiratory infection-is currently unknown given the lack of centralized data on cross-facility employment. We perform a large-scale analysis of nursing home connections via shared staff and contractors using device-level geolocation data from 50 million smartphones, and find that 5.1% of smartphone users who visited a nursing home for at least 1 h also visited another facility during our 11-wk study period-even after visitor restrictions were imposed. We construct network measures of connectedness and estimate that nursing homes, on average, share connections with 7.1 other facilities. Traditional federal regulatory metrics of nursing home quality are unimportant in predicting outbreaks, consistent with recent research. Controlling for demographic and other factors, a home's staff network connections and its centrality within the greater network strongly predict COVID-19 cases.

The Impact of Leadership Styles on Quality and Financial Performance in High Medicaid Nursing Homes

This study examines the association between leadership styles on resident quality and financial performance in under resourced nursing homes (70% or higher Medicaid census). The Bonoma/Slevin leadership model was used to classify managers into four categories, autocrat, consultative autocrat, consensus manager, and shareholder manager. Survey data from 391 nursing home directors (response rate of 37%) from 2017- 2018, were merged with secondary data from LTCFocus, Area Health Resource File, Medicare Cost Reports, and Nursing Home Compare. Two models were ran to examine the effect of leadership styles on the dependent variable(s) nursing home STAR data (quality) and operating margin (financial performance). The independent variables were composite scores for leadership styles, with autocrat as the reference group. Control variables included organizational (ownership, chain affiliation, size, occupancy, payer mix, staffing, and race/ethnicity), and county factors (Medicare Advantage penetration, per capita income, poverty, education, unemployment, and competition). Multivariate regression was used to model the relationship between leadership styles and nursing home quality and financial performance. The consultative autocrat was associated with lower quality (p < 0.05), while the consensus manager was associated with lower profit margin (p < 0.05), as compared to autocratic leadership. The consultative autocrat, who solicits information from the staff yet still makes all significant decisions, is associated in lower quality; however, a consensus manager, who delegates their authority to the group, is associated with lower financial performance. Under-resourced nursing homes who face dual pressures need to recognize trade-offs of different decision making styles for quality and financial performance.

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

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.

Culture Change and Quality Star Ratings in High Medicaid Nursing Homes: Does Time of Adoption Make a Difference?

Racial/ethnic disparities have been well documented in long-term care literature. Culture change is a movement to transition nursing homes to more home-like environments to improve the quality of care for all residents. 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 facilities. The final model consisted of an ordinal logistic regression. 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.

The Impact of Leadership Styles on Quality and Financial Performance in High Medicaid Nursing Homes

This study examined the association between leadership styles (autocrat, consultative autocrat, consensus manager, and shareholder manager) and resident quality and financial performance in under-resourced nursing homes. Survey data from 391 Directors of Nursing were merged with secondary data from LTCFocus, Area Health Resource File, Medicare Cost Reports, and Nursing Home Compare. Two multivariate regressions were used to model the relationship between leadership styles and the dependent variables: nursing home star ratings (1-5) and operating margin. The independent variables were composite scores for leadership styles, while control variables included organizational and county-level factors. Results show that compared to autocratic leadership, the consultative autocrat (solicits feedback but has total authority) was associated with lower quality (p < 0.05), while the consensus manager (delegates authority to the group) was associated with lower profit margin (p < 0.05). Under-resourced facilities need to recognize trade-offs of different decision making styles for performance.

Age Matters: Building Blocks Needed to Inform Nurse Staffing Hours Requirements in Residential Care for Older Adults

This study addresses the need for more complete information about the impact of nurse staffing hours (NSH) on nursing home quality of care. We used national data to examine the relationship between three types (Registered Nurse, Licensed Practical Nurse, and Nurse Aide) of hours, and long-stay quality of care measures over time, taking into account the possible confounding influence of regional differences. Data analyzed were from U.S. Nursing Home Compare datasets which reflect quarterly reports, July 1, 2018 - June 30, 2019 (14,768 facilities). The hours for each staff type in each facility were compared with the facility’s four-quarter quality average scores for each of the 12 measures. Results showed only one strong and statistically significant relationship (Beta= .548; p< .001) between Nurse Aide hours and the quality measure used in data sets to exemplify facilities that serve “lower-risk” residents. Analyzes using multiple R (.517) indicate that the linear combination of the three NSH types strongly and significantly (p< .001) predicted the four-quarter average scores and explained 27% of the variance in the scores. Holding the other two NSH types constant, the scores for that measure increased by 63 for each additional increase in the Nurse Aide nurse staffing hours per resident per day. There was no multicollinearity among the three types of staffing hours. This research adds information to the foundation needed for future research about process indicators to assess their efficacy as measures of actual quality of care, and will be submitted as a Technical Note to journals.