Occupational Injuries in the US Nursing Homes

BACKGROUND

Workplace injuries adversely affect worker well-being and may worsen staffing shortages and turnover in nursing homes. A better understanding of the trends in injuries in nursing homes including organizational factors associated with injuries can help improve our efforts in addressing worker injuries.

OBJECTIVE

To summarize the trends in injuries and organizational correlates of injuries in US nursing homes.

RESEARCH DESIGN

We combine national injury tracking data from the Occupational Safety and Health Administration (2016-2019) with nursing home characteristics from Nursing Home Compare. Our outcomes include the proportion of nursing homes reporting any injuries, the mean number of injuries, and the mean number of injuries or illnesses with days away from work, or job transfer or restriction, or both (DART). We descriptively summarize trends in injuries over time. We also estimate the association between nursing home characteristics and injuries using multivariable regressions.

RESULTS

We find that approximately 93% of nursing homes reported at least 1 occupational injury in any given year. Injuries had a substantial impact on productivity with 4.1 DART injuries per 100 full-time employees in 2019. Higher bed size, occupancy, RN staffing, and chain ownership are associated with increased DART rates whereas higher overall nursing home star ratings and for-profit status are associated with decreased DART rates.

CONCLUSIONS

A high proportion of nursing homes report occupational injuries that can affect staff well-being, productivity, and quality of care. Injury prevention policies should target the types of injuries occurring in nursing homes and OSHA should monitor nursing homes reporting high and repeated injuries.

High Medicaid Nursing Homes: Contextual Factors Associated with the Availability of Specialized Resources Required to Care for Obese Residents

Obesity is an increasingly important concern in the delivery of high-quality nursing home care. Obese nursing home residents require specialized equipment and resources. As high Medicaid nursing homes have limited financial ability, they may lack the necessary resources to address the needs of obese residents. Moreover, there are variations in the availability of obesity-related specialized resources across these facilities. This study aims to investigate the organizational and market factors associated with the availability of obesity-related specialized resources in high-Medicaid nursing homes. Survey and secondary data sources for the study period 2017-2018 were utilized. The survey data were merged with Brown University's Long Term Care Focus (LTCFocus), Nursing Home Compare, and Area Health Resource File datasets. The dependent variable was the composite score of obesity-related specialized resources, ranging from 0-19. An ordinary least square regression with propensity score weights (to adjust for potential survey non-response bias), along with appropriate organizational/market level control variables were used for our analysis. Our results suggest that payer-mix (>Medicare residents) and a higher proportion of obese residents were positively associated with the availability of obesity-related specialized resources. Policymakers should consider implementing incentives, such as increased Medicaid payments, to assist high Medicaid nursing homes in addressing the specific needs of obese residents.

Community Discharge Among Post-Acute Nursing Home Residents: An Association With Patient Safety Culture?

OBJECTIVES

We examined whether better patient safety culture (PSC) in skilled nursing facilities was associated with higher likelihood of successful community discharge for post-acute care residents.

DESIGN

Cross-sectional study.

SETTING AND PARTICIPANTS

Medicare beneficiaries who were newly admitted for post-acute care (N = 53,929) to skilled nursing facilities participating in PSC survey (N = 818).

METHODS

Facility-level PSC scores were obtained from a national, random survey conducted in 2017. Survey data was linked to Minimum Dataset 3.0, Medicare Provider Analysis and Review, Master Beneficiary Summary File, Nursing Home Compare File, Payroll-Based Journal, and Areal Health Resources File. Successful discharge to community was the outcome of interest. Facility-level PSC scores were the key covariate. We controlled for individual-level, facility-level, and area-level characteristics. Separate logistic regression models for each of the 12 PSC domains and for the overall score were fit.

RESULTS

Post-acute care residents who were successfully discharged to community were more likely to be female (63.7%), white (87.1%), Medicare-only (88.1%), cognitively intact (87.8%), and admitted following a surgery (40.9%) The multivariable analyses showed that teamwork (odds ratio 1.09, P = .02) and supervisor expectations and actions promoting resident safety (odds ratio 1.11, P = .01) were significantly associated with the increased likelihood of successful community discharge.

CONCLUSIONS AND IMPLICATIONS

This is the first study to analyze the relationship between patient safety culture and successful discharge among post-acute care residents. Our results suggest that nursing home leaders may want to focus their quality and safety improvement efforts on specific PSC domains (eg, teamwork) as means for improving community discharge for post-acute care residents.

Organizational and Geographic Nursing Home Characteristics Associated With Increasing Prevalence of Resident Obesity in the United States

Nursing home resident obesity increases the complexity of nursing care, and nursing homes report avoiding residents with obesity when choosing which prospective residents to accept. The objective of this study was to examine the associations between nursing home obesity prevalence rate and nursing home organizational, staffing, resident, and geographic factors within a profit maximization framework. The study cohort included U.S. Centers for Medicare and Medicaid Services data from U.S. nursing homes in 2013. Study findings supported hypothesized associations between obesity prevalence rate and higher occupancy, higher bed capacity, and multi-facility affiliation, but findings did not support a relationship between obesity prevalence rate and for-profit status.

Rising prevalence of BMI ≥40 kg/m2 : A high-demand epidemic needing better documentation

Whilst previously rare, some surveys indicate substantial increases in the population with body mass index (BMI) ≥40 kg/m2 since the 1980s. Clinicians report emerging care challenges for this population, often with high resource demands. Accurate prevalence data, gathered using reliable methods, are needed to inform health care practice, planning, and research. We searched digitally for English language sources with measured prevalence data on adult BMI ≥40 collected since 2010. The search strategy included sources identified from recent work by NCD-RisC (2017), grey sources, a literature search to find current sources, and digital snowball searching. Eighteen countries, across five continents, reported BMI ≥40 prevalence data in surveys since 2010: 12% of eligible national surveys examined. Prevalence of BMI ≥40 ranged from 1.3% (Spain) to 7.7% (USA) for all adults, 0.7% (Serbia) to 5.6% (USA) for men, and 1.8% (Poland) to 9.7% (USA) for women. Limited trend data covering recent decades support significant growth of BMI ≥40 population. Methodological limitations include small samples and data collection methods likely to exclude people with very high BMIs. BMI ≥40 data are not routinely reported in international surveys. Lack of data impairs surveillance of population trends, understanding of causation, and societal provision for individuals living with higher weights.

Obesity and Nursing Home Care in the United States: A Systematic Review

BACKGROUND AND OBJECTIVES

Obesity is increasing among people residing in nursing homes, and resident obesity substantially affects services needed, equipment and facilities provided, and morbidity in this setting. The purpose of this article is to describe the scope and depth of evidence regarding the impact of obesity among nursing home residents in the United States.

RESEARCH DESIGN AND METHODS

A systematic literature review was performed in PubMed, EMBASE, CINAHL, and Web of Science databases as well as additional hand-searched documents. Included articles were published from 1997 to March 2017. The characteristics and content of the included articles were systematically reviewed and reported.

RESULTS

Twenty-eight studies met inclusion criteria for review. The median study size was 636 residents (interquartile range 40-11,248); 18 (64%) studies were retrospective and 10 (36%) were prospective in nature. Ten (36%) studies examined medical and functional morbidity, 10 (36%) examined health system effects, and 5 (18%) examined the risk of admission to nursing homes. Most studies found that obesity poses serious issues to resident health and the provision of health care, as well as broad health system and nursing challenges in the provision of high-quality nursing home care and services.

DISCUSSION AND IMPLICATIONS

Although obesity affects about one in four nursing home residents in the United States, relatively limited evidence exists on the complex challenges of obesity for their residents and their care. A continued focus on resident quality of life, health system improvement, and nursing best practices for properly caring for individuals with obesity is needed.

The Increasing Prevalence of Obesity in Residents of U.S. Nursing Homes: 2005–2015

Background

Obesity prevalence has been increasing over decades among the U.S. population. This study analyzed trends in obesity prevalence among long-stay nursing home residents from 2005 to 2015.

Methods

Data came from the Minimum Data Sets (2005–2015). The study population was limited to long-stay residents (ie, those residing in a nursing home ≥100 days in a year). Residents were stratified into body mass index (BMI)-based groups: underweight (BMI < 18.5), normal weight (18.5 ≤ BMI < 25), overweight (25 ≤ BMI < 30), and obese (BMI ≥ 30); residents with obesity were further categorized as having Class I (30 ≤ BMI < 35), Class II (35 ≤ BMI < 40), or Class III (BMI ≥ 40) obesity. Minimum Data Sets assessments for 2015 were used to compare clinical and functional characteristics across these groups.

Results

Obesity prevalence increased from 22.4% in 2005 to 28.0% in 2015. The prevalence of Class III obesity increased from 4.0% to 6.2%. The prevalence of underweight, normal weight, and overweight decreased from 8.5% to 7.2%, from 40.3% to 37.1%, and from 28.9% to 27.8%, respectively. In 2015, compared with residents with normal weight, residents with obesity were younger, were less likely to be cognitively impaired, had high levels of mobility impairment, and were more likely to have important medical morbidities.

Conclusions and Relevance

There was a steady upward trend in obesity prevalence among nursing home residents for 2005–2015. Medical and functional characteristics of these residents may affect the type and level of care required, putting financial and staffing pressure on nursing homes.

Obesity and intensive staffing needs of nursing home residents

The objective of this study is to examine how increasing body mass index (BMI) among nursing home residents affects the amount of staffing assistance needed for activities of daily living (ADL). We analyzed 1,627,141 US nursing home residents reported in the 2013 Minimum Data Set in seven BMI categories, from underweight (BMI < 18.5 kg/m²) to obesity Class IIIB (≥50 kg/m²). Logistic regression models estimated the odds of nursing home-reported need for extensive (≥2 staff member) assistance needed for ADLs. The adjusted odds increased from 1.07 (95% Confidence Interval (95%CI) 1.06-1.08) for Class I, 1.16 (95%CI 1.14-1.17) for Class II, 1.33 (95%CI 1.31-1.35) for Class IIIA, and 1.90 (95%CI 1.86-1.95) for Class IIIB obesity residents compared to residents of normal weight. As a nursing home resident's BMI increases, especially for BMI ≥40 kg/m², the need for extensive staffing assistance with ADLs also increases substantially.

The association between obesity and disability in survivors of joint surgery: analysis of the health and retirement study

BACKGROUND

Obesity is associated with osteoarthritis and the need for joint surgery. Obese patients who undergo joint surgery may have a higher risk of morbidity compared with normal or overweight patients but less is known about their risk of postoperative disability. The primary objective of our study was to determine the association between obesity and the development of new dependence in activities of daily living within 2 years after joint surgery.

METHODS

We obtained data from the Health and Retirement Study, a longitudinal survey of older Americans. We included participants who indicated having joint surgery for arthritis. We defined obesity as a BMI ≥30 kg m^-2. Our outcome was a new or increased dependence in one or more activities of daily living after surgery.

RESULTS

We analysed data on 2519 respondents who underwent joint surgery for arthritis. Respondents had a median age of 69yr, 65.5% were female, 66.6% had joint replacement surgery and 45.3% were obese. The overall incidence of a new dependence within 2years was 22.1%. Obese respondents had a higher incidence of new dependence compared with non-obese respondents (25.4% vs 19.4%, P<0.001). In adjusted analysis, obese respondents had increased odds of developing dependence [odds ratio 1.35 (95% CI 1.09-1.68), P=0.007].

CONCLUSIONS

Obesity is associated with an increased risk of developing dependence in the 2 years after joint surgery. Our study findings identify a high-risk group that may benefit from targeted interventions and allocation of perioperative resources to optimize recovery and minimize longer-term disability.

Are Obese Residents More Likely to Be Admitted to Nursing Homes That Have More Deficiencies in Care?

OBJECTIVES

To determine whether obese older adults who qualify for nursing home (NH) placement are as likely as nonobese adults to be admitted to NHs that provide adequate quality of care.

DESIGN

Retrospective study.

SETTING

NHs in New York State.

PARTICIPANTS

Individuals aged 65 and older newly admitted to a NH in New York State in 2006-07.

MEASUREMENTS

Total and healthcare-related deficiency citations for each facility were obtained from the Online Survey, Certification, and Reporting file. Bivariate and multivariate regression analyses were used to assess the association between obesity (body mass index (BMI) 30.0-39.9 kg/m(2) ) and morbid obesity (BMI ≥ 40.0 kg/m(2) ) separately and admission to facilities with more deficiencies.

RESULTS

NHs that admitted a higher proportion of morbidly obese residents were more likely to have more deficiencies, whether total or healthcare related. These NHs also had greater odds of having severe deficiencies, or falling in the top quartile ranking of total deficiencies. After sequentially controlling for the choice of facilities within the inspection region, resident characteristics, and facility covariates, the association between morbid obesity and admission to higher-deficiency NHs persisted.

CONCLUSION

Residents with morbid obesity were more likely to be admitted to NHs of poorer quality based on deficiency citations. The factors driving these disparities and their impact on the care of obese NH residents require further elucidation.

Barriers in Transitioning Patients With Severe Obesity From Hospitals to Nursing Homes

This cross-sectional, descriptive study explored perspectives of discharge planners regarding transitions of hospitalized patients who are severely obese seeking discharge to a nursing home. Attention has been focused on care transitions regarding high hospital readmission rates, yet specific needs of patients who are severely obese have been largely overlooked. Ninety-seven (response rate 39.8%) discharge planners returned surveys addressing frequency of, and issues encountered when, arranging placements. Community and hospital characteristics were also collected. One third of the respondents from Pennsylvania and Arkansas reported inability to transfer patients; barriers included reimbursement, staffing, and equipment. Respondents perceiving nursing homes to have equipment concerns were nearly 7 times more likely to report patient size as a barrier ( p = .001). Given increasing obesity rates, health care delivery systems must be prepared to provide necessary resources and all levels of care, including transitions for hospitalized patients who are severely obese needing nursing home care post-discharge.

Nursing Home Perspectives on the Admission of Morbidly Obese Patients From Hospitals to Nursing Homes

PURPOSE OF THE STUDY

Care challenges have been described for hospitalized morbidly obese (MO) patients. These challenges likely persist post discharge. As a result, nursing homes (NHs) may be reluctant to admit these patients, potentially leaving them "stranded in hospitals". This study identified issues NHs consider in admission decisions for MO patients transitioning from hospitals.

DESIGN AND METHOD

Approved surveys were mailed to nursing directors at federally-certified NHs in Arkansas (n = 234) and Pennsylvania (n = 710) to collect NH experience in the admission of patients weighing ≥ 325 pounds. Analyses included descriptive and inferential statistics to summarize and identify predictors of MO patient admission decisions.

RESULTS

In total, 360 surveys were returned (38.1% response rate). Although two-thirds of respondents reported patient size as an admission barrier, only 6% reported that MO patients were always refused admission. Adjusted analysis showed that NHs with adequate staff were significantly (p = .04) less likely to report obesity as an admission barrier whereas NHs reporting concerns about availability of bariatric equipment were significantly (p < .0001) more likely to report obesity as a barrier.

IMPLICATIONS

Lack of staff and bariatric equipment in NHs appears to negatively affect the transition of MO patients out of the hospital to NHs. Additional research, including examination of current regulations and reimbursement policies, should be undertaken to understand NH staffing and equipment acquisition decisions in light of the current obesity epidemic. Such research has implications for the optimal care of obese individuals during times of transition.

Healthcare worker influenza vaccination in Oregon nursing homes: correlates of facility characteristics

OBJECTIVES

Nursing home (NH) employee influenza vaccination is associated with reductions in morbidity and mortality among residents. Little is known regarding associations between NH characteristics and employee influenza vaccination rates (EVRs). This study identifies NH characteristics that may be associated with EVRs.

DESIGN

Data on employee vaccination rates and programs were gathered from the Office for Oregon Health Policy and Research reports for 3 influenza seasons from 2009 to 2012 and merged with Online Survey, Certification, and Reporting files, from which facility characteristics were obtained. Market controls were obtained from the 2010 Area Health Resource File. Multivariate linear and logistic regression were used to model relationships between facility characteristics and EVR per facility per year, whether formal education for employees was conducted, and whether 2010, 2015, and 2020 Healthy People targets were met.

SETTING

Oregon nursing homes from 2009 to 2012.

PARTICIPANTS

NHs reporting sufficient data to calculate an EVR were included. Based on information obtained from 2009-2010, 2010-2011, and 2011-2012 surveys, EVRs were calculated for 113/140, 129/141, and 137/140 (81%, 91%, and 98% of) NHs, respectively.

MEASUREMENTS

Dependent variables were EVR per facility per year, whether formal education for employees was conducted, and whether 2010, 2015, and 2020 Healthy People targets were met. Independent variables included facility characteristics and market controls.

RESULTS

On average, chain-affiliated NHs had 9% higher EVRs (P = .01) and 73% higher odds of achieving 60% EVR (2010 target, P = .05) than free-standing NHs. For-profit NHs had, on average, 8% lower EVRs (P = .04) than not-for-profit NHs. Surprisingly, a 10% increase in proportion of Medicaid residents was associated with a 2% increase in EVR (P = .01) and higher odds of achieving 60% (odds ratio = 1.20, P = .004) and 70% (2015 target, odds ratio = 1.14, P = .05) EVR.

CONCLUSION

Given that NHs generally have low employee influenza vaccination rates, it may be necessary to target low-performing facilities to achieve substantial improvements. However, significant correlates of this study cannot be easily addressed by NH management or policymakers. Without policy change encouraging key components of vaccination programs, public reporting may be insufficient to improve EVRs.