Safety Climate Associated with Adverse Events in Nursing Homes: A National VA Study

Adverse events in health care are leading causes of morbidity and mortality, prompting health care organizations to investigate their antecedents. In nursing homes, safety climate—how staff typically think about safety and act on safety issues—is a potential contributor to adverse events, particularly pressure ulcers, falls, and falls-related injuries. Yet, research to date is equivocal as to whether a more positive safety climate improves safety for residents living in nursing homes. We conducted a cross-sectional analysis of the association between safety climate and adverse events, measured in 2017 and 2018 in 56 VA Community Living Centers (CLCs, or nursing homes) nationwide. Safety climate was measured by the previously validated Community Living Center Employee Survey on Resident Safety (CESARS), completed by nurses, nursing assistants, and clinicians. The CESARS has seven domains: safety priorities, supervisor commitment to safety, senior management commitment to safety, personal attitudes about safety, environmental safety, co-worker interactions around safety, and global rating of CLC; higher CLC-level domain scores indicate better ratings. 2017-18 Minimum Data Set (MDS) measured four CLC-level adverse events: percent of residents who had any falls, major injuries from falls, catheter use, and new/worsened pressure ulcers. Beta-logistic regression models with random effects were used to examine the impact of staff-specific safety climate domain scores on each adverse event, adjusted by year (2017/2018) and CLC-level characteristics (CLC’s operating beds, nursing staffing level, and employee satisfaction/engagement). 1397 and 1645 VA CLC staff responded to the CESARS in 2017 and 2018, respectively. There were significant associations between all four adverse events and three of the safety climate domains: expected, inverse associations with two domains and unexpected associations with one domain (P < .05). Better ratings of supervisor commitment to safety and environmental safety were each associated with lower rates of three out of the four adverse events, as expected. That is, better ratings of supervisor commitment to safety were significantly associated with lower rates of (1) falls (OR 0.33, 95% CI 0.11-0.97, clinicians), (2) major injuries from falls (OR 0.33, 95% CI 0.11-0.97, clinicians), and (3) catheter use (OR 0.42, 95% CI 0.21-0.85, nurses). Better ratings of environmental safety were significantly associated with lower rates of (1) major injuries from falls (OR = 0.48, 95% CI 0.24-0.93, nurses), (2) catheter use (OR 0.55, 95% CI 0.32-0.93, nursing assistants), and (3) pressure ulcers (OR 0.23, 95% CI 0.09-0.61, clinicians). Better global CLC ratings were unexpectedly associated with higher rates of only catheter use. No other safety climate domains had significant associations. In summary, supervisor commitment to safety (eg, supervisor responsiveness to safety concerns) and environmental safety (eg, presence of grab bars in bathrooms) emerged as elements of safety climate central to lower rates of adverse events in nursing homes. The role of safety climate in lower rates of adverse events was observed across all three groups of frontline staff. Our study thus suggests the potential of safety climate to impact resident safety outcomes. Improving environmental design and supervisory practices with frontline staff could reduce adverse events in nursing homes. Department of Veterans Affairs.     

Site of death among veterans living in Veterans Affairs nursing homes

ObjectivesTo determine predictors of dying in VA nursing homes, community living centers (CLCs), compared with dying in a hospital.DesignRetrospective cohort study.SettingVA CLCs.ParticipantsIncluded were 7408 CLC decedents from FY2005 to FY2007.MeasurementsOutcome: Site of death obtained from VA Vital Statistics files. Predictors of Death Site: VA-MDS variables defining patient demographics, functional status, cognitive status, major diagnostic categories, and care planning documentation.AnalysisLogistic regression was used to estimate the odds ratio of death in the CLC relative to the hospital for patient and facility characteristics.ResultsAmong decedents, 87% died in the CLC and 13% in a hospital. More than half of all decedents were neither enrolled in hospice nor designated as having end-stage disease. The strongest predictor of site of death in a CLC relative to a hospital was being enrolled in hospice (OR = 20.94; 95% CI: 12.38, 35.44). A designation of end-stage disease increased the odds of death in a CLC by 3.9 times (95% CI: 2.78, 5.47) compared with death in a hospital. Advance directive rates in CLCs were high (73.4%); having any advance directive increased the odds of death in a CLC by 1.57 times (95% CI: 1.35, 1.82).ConclusionRecognition of end-stage disease and documentation of advance directives are powerful determinants of site of death for CLC residents. Receipt of hospice care in a CLC is a strong predictor of site of death in a CLC even in the absence of collaboration with community-based hospice and financial incentives to avoid hospitalization.     

Neither Race nor Ethnicity Impact the Mortality of Residents of Veterans Affairs Community Living Center With COVID-19

ObjectivesCOVID-19 disproportionately affected nursing home residents and people from racial and ethnic minorities in the United States. Nursing homes in the Veterans Affairs (VA) system, termed Community Living Centers (CLCs), belong to a national managed care system. In the period prior to the availability of vaccines, we examined whether residents from racial and ethnic minorities experienced disparities in COVID-19 related mortality.DesignRetrospective cohort study.Setting and ParticipantsResidents at 134 VA CLCs from April 14 to December 10, 2020.MethodsWe used the VA Corporate Data Warehouse to identify VA CLC residents with a positive SARS-CoV-2 polymerase chain reaction test during or 2 days prior to their admission and without a prior case of COVID-19. We assessed age, self-reported race/ethnicity, frailty, chronic medical conditions, Charlson comorbidity index, the annual quarter of the infection, and all-cause 30-day mortality. We estimated odds ratios and 95% confidence intervals of all-cause 30-day mortality using a mixed-effects multivariable logistic regression model.ResultsDuring the study period, 1133 CLC residents had an index positive SARS-CoV-2 test. Mortality at 30 days was 23% for White non-Hispanic residents, 15% for Black non-Hispanic residents, 10% for Hispanic residents, and 16% for other residents. Factors associated with increased 30-day mortality were age ≥70 years, Charlson comorbidity index ≥6, and a positive SARS-CoV-2 test between April 14 and June 30, 2020. Frailty, Black race, and Hispanic ethnicity were not independently associated with an increased risk of 30-day mortality.Conclusions and ImplicationsAmong a national cohort of VA CLC residents with COVID-19, neither Black race nor Hispanic ethnicity had a negative impact on survival. Further research is needed to determine factors within the VA health care system that mitigate the influence of systemic racism on COVID-19 outcomes in US nursing homes.     

Life-Space Mobility in Aged Care Residents: Frailty In Residential Sector over Time (FIRST) Study Findings

ObjectivesLife-space mobility is a measure of the extent and frequency of mobility in older adults reflecting not only physical function, but also cognitive, psychosocial, and environmental factors. This study aimed to (1) develop life-space mobility profiles for nursing home residents; (2) examine independent factors associated with these profiles; and (3) identify health outcomes [ie, mortality, quality of life (QoL) and falls] associated with the life-space mobility profiles at 1 year.DesignProspective cohort study.Setting and ParticipantsTwelve nursing homes including 556 residents, mean age 87.73 ± 7.25 years, 73.0% female.MethodsLife-space mobility was measured using the Nursing Home Life-Space Diameter (NHLSD). Mortality and falls were extracted from residents' records. QoL was measured using the QoL in Alzheimer Disease (QoL-AD) scale.ResultsNHLSD scores ranged from 0 to 50 with a mean score of 27.86 ± 10.12. Resident life-space mobility was mainly centered around their room (94.8%, n = 527) and wing (86.4%, n = 485). One-half of the residents left their wing daily (51.0%, n = 284), and over one-quarter (26.4%, n = 147) ventured outside their nursing home at least weekly. Significant associations (P < .05) with high life-space mobility, identified through multivariable analyses, included lower age [odds ratio (OR) 0.70, 95% confidence interval (CI) 0.51, 0.96]; lower frailty levels (OR 0.67, 95% CI 0.50, 0.86); lower sarcopenia risk (OR 0.72, 95% CI 0.65, 0.79); and a better nutritional status (OR 1.16, 95% CI 1.05, 1.29). High life-space mobility was a predictor (P < .05) of lower mortality, lower falls rate, and higher QoL at 1 year when compared with moderate or low mobility.Conclusions and ImplicationsGiven the independent association between high life-space mobility and lower frailty status, lower sarcopenia risk, and a better nutritional status, physical activity and nutritional interventions may be beneficial in leading to improved life-space use. This requires further investigation. Improved life-space mobility can lead to improved health outcomes, such as lower mortality, lower falls rate, and improved QoL.     

Comparing Post-Acute Populations and Care in Veterans Affairs and Community Nursing Homes

ObjectiveThe quality of care provided by the US Department of Veterans Affairs (VA) is increasingly being compared to community providers. The objective of this study was to compare the VA Community Living Centers (CLCs) to nursing homes in the community (NHs) in terms of characteristics of their post-acute populations and performance on 3 claims-based (“short-stay”) quality measures.DesignObservational, cross-sectional.Setting and ParticipantsCLC and NH residents admitted from hospitals during July 2015–June 2016.MethodsCLC residents were compared with 3 NH populations: males, Veterans, and all NH residents. CLC and NH performance was compared on risk-adjusted claims-based measures: unplanned rehospitalizations and emergency department visits within 30 days of CLC or NH admission and successful discharge to the community within 100 days of NH admission.ResultsVeterans admitted from hospitals to CLCs (n = 23,839 Veterans/135 CLCs) were less physically impaired, less likely to have anxiety, congestive heart failure, hypertension, and dementia than Veterans (n = 241,177/14,818 NHs), males (n = 661,872/15,280 NHs), and all residents (n = 1,674,578/15,395 NHs) admitted to NHs from hospitals. Emergency department and successful discharge risk-adjusted rates of CLCs were statistically significantly better than those of NHs [mean (standard deviation): 8.3% (4.6%) and 67.7% (11.5%) in CLCs vs 11.9% (5.3%) and 57.0% (10.5%) in NHs, respectively]. CLCs had slightly worse rehospitalization rates [22.5% (6.2%) in CLCs vs 21.1% (5.9%) in NHs], but lower combined emergency department and rehospitalization rates [30.8% (0.8%) in CLCs vs 33.0% (0.7%) in NHs].Conclusions and ImplicationsCLCs and NHs serve different post-acute care populations. Using the same risk-adjusted NH quality metrics, CLCs provided better post-acute care than community NHs.     

Factors Associated With COVID-19 Hospitalizations and Deaths in French Nursing Homes

ObjectivesTo describe the clinical characteristics and management of residents in French nursing homes with suspected or confirmed coronavirus disease 2019 (COVID-19) and to determine the risk factors for COVID-19–related hospitalization and death in this population.DesignA retrospective multicenter cohort study.Setting and ParticipantsFour hundred eighty nursing home residents with suspected or confirmed COVID-19 between March 1 and May 20, 2020, were enrolled and followed until June 2, 2020, in 15 nursing homes in Marseille’s greater metropolitan area.MethodsDemographic, clinical, laboratory, treatment type, and clinical outcome data were collected from patients’ medical records. Multivariable analysis was used to determine factors associated with COVID-19–related hospitalization and death. For the former, the competing risk analysis—based on Fine and Gray’s model—took death into account.ResultsA total of 480 residents were included. Median age was 88 years (IQR 80-93), and 330 residents were women. A total of 371 residents were symptomatic (77.3%), the most common symptoms being asthenia (47.9%), fever or hypothermia (48.1%), and dyspnea (35.6%). One hundred twenty-three patients (25.6%) were hospitalized and 96 (20%) died. Male gender [specific hazard ratio (sHR) 1.63, 95% confidence interval (CI) 1.12-2.35], diabetes (sHR 1.69, 95% CI 1.15-2.50), an altered level of consciousness (sHR 2.36, 95% CI 1.40-3.98), and dyspnea (sHR 1.69, 95% CI 1.09-2.62) were all associated with a greater risk of COVID-19–related hospitalization. Male gender [odds ratio (OR) 6.63, 95% CI 1.04-42.39], thermal dysregulation (OR 2.64, 95% CI 1.60-4.38), falls (2.21 95% CI 1.02-4.75), and being aged >85 years (OR 2.36, 95% CI 1.32-4.24) were all associated with increased COVID-19–related mortality risk, whereas polymedication (OR 0.46, 95% CI 0.27-0.77) and preventive anticoagulation (OR 0.46, 95% CI 0.27-0.79) were protective prognostic factors.Conclusions and ImplicationsMale gender, being aged >85 years old, diabetes, dyspnea, thermal dysregulation, an altered level of consciousness, and falls must all be considered when identifying and protecting nursing home residents who are at greatest risk of COVID-19–related hospitalization and death.     

The Association of Nursing Home Characteristics and Quality with Adverse Events After a Hospitalization

Background/ObjectivesWe previously found high rates of adverse events (AEs) for long-stay nursing home residents who return to the facility after a hospitalization. Further evidence about the association of AEs with aspects of the facilities and their quality may support quality improvement efforts directed at reducing risk.DesignProspective cohort analysis.Setting and Participants32 nursing homes in the New England states. A total of 555 long-stay residents contributed 762 returns from hospitalizations.MethodsWe measured the association between AEs developing in the 45 days following discharge back to long-term care and characteristics of the nursing homes including bed size, ownership, 5-star quality ratings, registered nurse and nursing assistant hours, and the individual Centers for Medicare & Medicaid Services (CMS) quality indicators. We constructed Cox proportional hazards models controlling for individual resident characteristics that were previously found associated with AEs.ResultsWe found no association of AEs with most nursing home characteristics, including 5-star quality ratings and the composite quality score. Associations with individual quality indicators were inconsistent and frequently not monotonic. Several individual quality indicators were associated with AEs; the highest tertile of percentage of residents with depression (4%-25%) had a hazard ratio (HR) of 1.65 [95% confidence interval (CI) 1.16, 2.35] and the highest tertile of the percentage taking antipsychotic medications (18%-35%) had an HR of 1.58 (CI 1.13, 2.21). The percentage of residents needing increased assistance with activities of daily living was statistically significant but not monotonic; the middle tertile (13% to <20%) had an HR of 1.69 (CI 1.16, 2.47).Conclusions and ImplicationsAEs occurring during transitions between nursing homes and hospitals are not explained by the characteristics of the facilities or summary quality scores. Development of risk reduction approaches requires assessment of processes and quality beyond the current quality measures.     

Occupational Risk Factors for Breast Cancer among Nurses

Abstract

A case-referent study nested in a cohort was used to evaluate occupational variables in the incidence of breast cancer among nurses. There were 59 cases and 118 randomly chosen referents. The participation rate was 97%. Odds ratios (ORs) and 95% confidence intervals (Cls) were calculated and the weights of potential confounding factors estimated by unconditional logistic regression. The odds ratio for breast cancer in a sister was 2.83 (95% CI 1.03–7.81). Specialization in pediatric, psychiatric, general (surgical and medical), geriatric, and primary care nursing, and “other kinds of nursing,” gave an adjusted OR of 1.95 (95% CI 0.84–4.54). When working in different wards was accounted for, the highest adjusted ORs were found among nurses handling cytotoxic drugs, OR 1.65 (95% CI 0.53–5.17), and among pediatric nurses, OR 1.47 (95% CI 0.63–3.41); the lowest ORs were found among nurses in primary health care, OR 0.44 (95% CI 0.20–0.96). Analyses of the data stratified on age showed similar results. Occupational risks were not ascertained. Not only occupation but also career-related lifestyles should be taken into account in studies of health outcomes among working women.     

Integration Activities Between Hospitals and Skilled Nursing Facilities: A National Survey

ObjectivesIncreasing recognition of the adverse events older adults experience in post-acute care in skilled nursing facilities (SNFs) has led to multiple efforts to improve care integration between hospitals and SNFs. We sought to measure current care integration activities between hospitals and SNFs.DesignCross-sectional survey.Setting and ParticipantsA total of 500 randomly selected Medicare-certified SNFs in the United States in 2019. The survey inquired about 12 care integration activities with the 2 highest volume referring hospitals for each SNF.MethodsWe collapsed survey responses into 5 categories of integration based on high correlations between the individual measures. These were: (1) formal integration (co-location or co-ownership); (2) informal integration (eg, formal affiliation, participation in SNF collaborative, shared pay for performance, or clinical leadership meetings between hospital and SNF); (3) shared quality/safety activities (eg, initiatives to improve medication safety or reduce hospital admission); (4) shared care coordinators; and/or (5) shared supervising clinicians. We then conducted multivariate regressions to examine associations between different care integration activities and hospital/SNF characteristics.ResultsOur overall response rate was 53.0%, including 265 SNFs that represented 487 SNF-hospital pairs. Informal integration was most common (in 53.3% of pairs), whereas shared clinicians (43.0%), care coordinators (36.5%), shared quality/safety activities (35.1%), and formal integration (7.4%) were present in a minority. Hospital-SNF pairs had lower odds of being formally integrated if the SNF was for-profit compared with not-for-profit [odds ratio (OR) 0.11, 95% confidence interval (CI) 0.03–0.42, adjusted P = .04)] and higher odds of sharing quality improvement activities in metropolitan rather than rural areas (OR 4.06, 95% CI 1.80–9.17, adjusted P = .02) and in the Midwest compared with West (OR 2.95, 95% CI 1.44–6.06, adjusted P = .049).Conclusions and ImplicationsThese findings raise important questions about what is driving variability in hospital-SNF integration activities, and which activities may be most effective for improving transitional care outcomes.     

Impact of STAR-VA on Staff Injury and Disruptive Behavior Reports in VA Nursing Homes

ObjectivesWorkplace disruptive behavior incidents can be costly for organizations, employees, and customers. Persons with dementia living in long-term care settings have a high risk of exhibiting distressed behaviors. We examined whether a resident-centered, behavioral intervention for residents with dementia led to a reduction in reported workplace disruptive behaviors and staff injury rate due to assault. Impactful interventions are important for quality of care.DesignWe examined whether a team-based behavioral program in community living centers (CLCs), where a nurse champion and behavioral coordinator were trained to work with the clinical team to understand and manage distressed behaviors commonly associated with dementia, was associated with reductions in behavior incidents.Setting and ParticipantsThe setting was Veterans Health Administration CLCs. The sample consisted of 120 aggregated CLCs operating between 2012 and 2017 with 62 completing training. CLCs were distributed across the United States.MethodsOutcomes included CLC-level rates of staff injury and number of workplace disruptive behavior incidents. Outcomes were regressed on measures of intervention completion, time since intervention, and several CLC characteristics.ResultsThe intervention was significantly associated with lower incidence of assault with staff injury rates overall, particularly following the first year of training, but not with other reported workplace disruptive behavior incident rates.Conclusions and ImplicationsA team-based behavioral intervention was associated with reduction of employee assaults, a critical repercussion of distressed behavior in dementia. Given rapid growth in patients with dementia in nursing homes, effective treatment practices, such as interdisciplinary behavioral management approaches may be impactful and valuable to implement.     

Are Nursing Home Survey Deficiencies Higher in Facilities With Greater Staff Turnover

ObjectivesTo examine CNA and licensed nurse (RN+LPN/LVN) turnover in relation to numbers of deficiencies in nursing homes.DesignA secondary data analysis of information from the National Nursing Home Survey (NNHS) and contemporaneous data from the Online Survey, Certification and Reporting (OSCAR) database. Data were linked by facility as the unit of analysis to determine the relationship of CNA and licensed nurse turnover on nursing home deficiencies.SettingThe 2004 NNHS used a multistage sampling strategy to generate a final sample of 1174 nursing homes, which represent 16,100 NHs in the United States.ParticipantsThis study focused on the 1151 NNHS facilities with complete deficiency data.MeasurementsTurnover was defined as the total CNAs/licensed nurse full-time equivalents (FTEs) who left during the preceding 3 months (full- and part-time) divided by the total FTE. NHs with high turnover were defined as those with rates above the 75th percentile (25.3% for CNA turnover and 17.9% for licensed nurse turnover) versus all other facilities. This study used selected OSCAR deficiencies from the Quality of Care, Quality of Life, and Resident Behavior categories, which are considered to be more closely related to nursing care. We defined NHs with high deficiencies as those with numbers of deficiencies above the 75th percentile versus all others. Using SUDAAN PROC RLOGIST, we included NNHS sampling design effects and examined associations of CNA/licensed nurse turnover with NH deficiencies, adjusting for staffing, skill mix, bed size, and ownership in binomial logistic regression models.ResultsHigh CNA turnover was associated with high numbers of Quality of Care (OR 1.53, 95% CI 1.10–2.13), Resident Behavior (OR 1.42, 95% CI 1.03–1.97) and total selected deficiencies (OR 1.54, 95% CI 1.12–2.12). Licensed nurse turnover was significantly related to Quality of Care deficiencies (OR 2.06, 95% CI 1.50–2.82) and total selected deficiencies (OR 1.71, 95% CI 1.25–2.33). When both CNA turnover and licensed nurse turnover were included in the same model, high licensed nurse turnover was significantly associated with Quality of Care and total deficiencies, whereas CNA turnover was not associated with that category of deficiencies.ConclusionTurnover in nursing homes for both licensed nurses and CNAs is associated with quality problems as measured by deficiencies.     

Staffing and Protective Equipment Access Mitigated COVID-19 Penetration and Spread in US Nursing Homes During the Third Surge

ObjectivesDuring the last quarter of 2020—despite improved distribution of personal protective equipment (PPE) and knowledge of COVID-19 management—nursing homes experienced the greatest increases in cases and deaths since the pandemic's beginning. We sought to update COVID-19 estimates of cases, hospitalization, and mortality and to evaluate the association of potentially modifiable facility-level infection control factors on odds and magnitude of COVID-19 cases, hospitalizations, and deaths in nursing homes during the third surge of the pandemic.DesignCross-sectional analysis.Setting and ParticipantsFacility-level data from 13,156 US nursing home facilities.MethodsTwo series of multivariable logistic regression and generalized linear models to examine the association of infection control factors (personal protective equipment and staffing) on incidence and magnitude, respectively, of confirmed COVID-19 cases, hospitalizations, and deaths in nursing home residents reported in the last quarter of 2020.ResultsNursing homes experienced steep increases in COVID-19 cases, hospitalizations, and deaths during the final quarter of 2020. Four-fifths (80.51%; n = 10,592) of facilities reported at least 1 COVID-19 case, 49.44% (n = 6504) reported at least 1 hospitalization, and 49.76% (n = 6546) reported at least 1 death during this third surge. N95 mask shortages were associated with increased odds of at least 1 COVID-19 case [odds ratio (OR) 1.21, 95% confidence interval (CI) 1.05-1.40] and hospitalization (1.26, 95% CI 1.13-1.40), as well as larger numbers of hospitalizations (1.11, 95% CI 1.02-1.20). Nursing aide shortages were associated with lower odds of at least 1 COVID-19 death (1.23, 95% CI 1.12-1.34) and higher hospitalizations (1.09, 95% CI 1.01-1.17). The number of nursing hours per resident per day was largely insignificant across all outcomes. Of note, smaller (<50-bed) and midsized (50- to 150-bed) facilities had lower odds yet higher magnitude of all COVID outcomes. Bed occupancy rates >75% increased odds of experiencing a COVID-19 case (1.48, 95% CI 1.35-1.62) or death (1.25, 95% CI 1.17-1.34).Conclusions and ImplicationsAdequate staffing and PPE—along with reduced occupancy and smaller facilities—mitigate incidence and magnitude of COVID-19 cases and sequelae. Addressing shortcomings in these factors is critical to the prevention of infections and adverse health consequences of a next surge among vulnerable nursing home residents.     

Admission of nursing home residents to a hospital internal medicine department

ObjectiveHospitalization of nursing home residents is costly and potentially exposes residents to iatrogenic disease and psychological harm.Design and SettingIn this study, we analyzed the data from the Basic Minimum Data Set of patients hospitalized from the nursing home who were discharged from all the internal medicine departments at the National Health Service hospitals in Spain between 2005 and 2008, according to the data provided by the Ministry of Health and Consumer Affairs.ResultsBetween January 2005 and December 2008, 2,134,363 patients were admitted to internal medicine departments in Spain, of whom 45,757 (2.1%) were nursing home residents. Overall, 7898 (17.3%) patients died during hospitalization, 2442 (30.91%) of them in the first 48 hours. The following variables were the significant predictors of in-hospital mortality in multivariate analysis: age (odds ratio [OR] 1.02, 95% confidence intervals [CI] 1.02–1.03), female gender (OR 1.13, 95% CI 1.13–1.17), dementia (OR 1.09, 95% CI 1.03–1.16), previous feeding tube (OR 1.34, 95% CI 1.09–1.79), malignant disease (OR 2.03, 95% CI 1.86–2.23), acute infectious disease (OR 1.18, 95% CI 1.12–1.25), pressure sores (OR 1.88, 95% CI 1.62–1.95), acute respiratory failure (OR 2.00, 95% CI 1.90–2.10), and nosocomial pneumonia (OR 2.5, 95% CI 2.23–2.72).ConclusionsTwo of every 100 patients admitted to internal medicine departments came from nursing homes. The rate of mortality is very high in these patients, with almost one third of patients dying in the first 48 hours, which suggests that many of these transfers were unnecessary. The cost of these admissions for 1 year was equivalent to the annual budget of a 300- to 400-bed public hospital in Spain. The mechanism of coordination between nursing homes and public hospitals must be reviewed with the aim of containing costs and facilitating the care of patients in the last days of life.     

Staffing Shortages,Staffing Hours,and Resident Deaths in US Nursing Homes During the COVID-19 Pandemic

ObjectivesStaffing shortages at nursing homes during the COVID-19 pandemic may have impacted care providers' staffing hours and affected residents’ care and outcomes. This study examines the association of staffing shortages with staffing hours and resident deaths in nursing homes during the COVID-19 pandemic.DesignThis study measured staffing hours per resident using payroll data and measured weekly resident deaths and staffing shortages using the Centers for Disease Control and Prevention's National Healthcare Safety Network data. Multivariate linear regressions with facility and county-week fixed effects were used to investigate the association of staffing shortages with staffing hours and resident deaths.Setting and Participants15,212 nursing homes.MeasuresThe primary outcomes included staffing hours per resident of registered nurses (RNs), licensed practical nurses (LPNs), and certified nursing assistants (CNAs) and weekly total deaths per 100 residents.ResultsBetween May 31, 2020, and May 15, 2022, 18.4% to 33.3% of nursing homes reported staffing shortages during any week. Staffing shortages were associated with lower staffing hours per resident with a 0.009 decrease in RN hours per resident (95% CI 0.005-0.014), a 0.014 decrease in LPN hours per resident (95% CI 0.010-0.018), and a 0.050 decrease in CNA hours per resident (95% CI 0.043-0.057). These are equivalent to a 1.8%, 1.7%, and 2.4% decline, respectively. There was a positive association between staffing shortages and resident deaths with 0.068 (95% CI 0.048-0.088) total deaths per 100 residents. This was equivalent to an increase of 10.5%.Conclusion and ImplicationsOur results showed that self-reported staffing shortages were associated with a statistically significant decrease in staffing hours and with a statistically significant increase in resident deaths. These results suggest that addressing staffing shortages in nursing homes can save lives.     

Nurse Decision-making for Suspected Urinary Tract Infections in Nursing Homes: Potential Targets to Reduce Antibiotic Overuse

ObjectivesTo determine what information is most important to registered nurses' (RNs) decisions to call clinicians about suspected urinary tract infections (UTIs) in nursing home residents.DesignWeb-based discrete choice experiment with 19 clinical scenarios.Setting and ParticipantsOnline survey with a convenience sample of RNs (N = 881) recruited from a health care research panel.MethodsClinical scenarios used information from 10 categories of resident characteristics: UTI risk, resident type, functional status, mental status, lower urinary tract status, body temperature, physical examination, urinalysis, antibiotic request, and goals of care. Participants were randomized into 2 deliberation conditions (self-paced, n = 437 and forced deliberation, n = 444). The degree to which evidence- and non–evidence-based information was important to decision-making was estimated using unconditional multinomial logistic regression.ResultsFor all nurses (22.8%) and the self-paced group (24.1%), lower urinary tract status had the highest importance scores for the decision to call a clinician about a suspected UTI. For the forced-deliberation group, body temperature was most important (23.7%), and lower urinary tract status was less important (21%, P = .001). The information associated with the highest odds of an RN calling about a suspected UTI was painful or difficult urination [odds ratio (OR) 4.85, 95% confidence interval (CI) 4.16–5.65], obvious blood in urine (OR 4.66, 95% CI 3.99–5.44), and temperature at 101.5° (OR 3.80, 95% CI 3.28–4.42). For the self-paced group, painful or difficult urination (OR 5.65, 95% CI 4.53–7.04) had the highest odds, whereas obvious blood in urine (OR 4.39, 95% CI 3.53–5.47) had highest odds for the forced-deliberation group.Conclusions and ImplicationsThis study highlighted the importance of specific resident characteristics in nurse decision-making about suspected UTIs. Future antimicrobial stewardship efforts should aim to not only improve the previously studied overprescribing practices of clinicians, but to improve nurses' assessment of signs and symptoms of potential infections and how they weigh resident information.     

Institutional Factors Associated with Residents’ Malnutrition in Nursing Homes: A Cross-Sectional Study

ObjectivesMalnutrition is frequent in older adults, associated with increased morbidity, mortality, and higher costs. Nursing home residents are especially affected, and evidence on institutional factors associated with malnutrition is limited. We calculated the prevalence of malnutrition in Swiss nursing home residents and investigated which structure and process indicators of nursing homes are associated with residents’ malnutrition.DesignSubanalysis of the Swiss Nursing Homes Human Resources Project 2018, a multicenter, cross-sectional study conducted from 2018 to 2019 in Switzerland.Setting and ParticipantsThis study included 76 nursing homes with a total of 5047 residents.MethodsMalnutrition was defined as a loss of bodyweight of ≥5% in the last 30 days or ≥10% in the last 180 days. Binomial generalized estimating equations (GEE) were applied to examine the association between malnutrition and structural (staffing ratio, grade mix, presence of a dietician, malnutrition guideline, support during mealtimes) and process indicators (awareness of malnutrition, food administration process). GEE models were adjusted for institutional (profit status, facility size) and specific resident characteristics.ResultsThe prevalence of residents with malnutrition was 5%. A higher percentage of units per nursing home having a guideline on prevention and treatment of malnutrition was significantly associated with more residents with weight loss (OR 2.47, 95% CI 1.31-4.66, P = .005). Not having a dietician in a nursing home was significantly associated with a higher rate of residents with weight loss (OR 1.60, 95% CI 1.09-2.35, P = .016).Conclusions and ImplicationsHaving a dietician as part of a multidisciplinary team in a nursing home is an important step to address the problem of residents’ malnutrition. Further research is needed to clarify the role of a guideline on prevention and treatment of malnutrition to improve the quality of care in nursing homes.     

High feeding dependence prevalence in residents living in Italian nursing homes requires new policies: Findings from a regionally based cross-sectional study

ObjectivesAn increased amount of functional dependence has been reported among residents living in nursing homes. Among others, feeding dependence is one of the most complex needs to satisfy: behind the attempt to personalise meals with individual preferences and clinical regimens, all residents require help at the same moment and for long periods of time, three or more times a day. With the intent of debating policy implications, the aims of this study were to advance the knowledge in the field of feeding dependence prevalence and predictors in Italy, a country where life expectancy is among the highest in the World.MethodA large retrospective regionally-based study approaching all nursing homes (n = 105) was performed in 2014; all residents (n = 10,900) were eligible and those with a completed assessment recorded in the regional database and aged >65 years (n = 8875) were included.Results1839 residents (20.7%) were in total need of help in feeding on a daily basis. At the multilevel analysis, predictors were moderate/severe dementia (OR 4.044, CI 95% 3.213–5.090); dysphagia (OR 4.003 CI 95% 3.155–5.079); pressure sores (OR 2.317 CI 95% 1.803–2.978); unintentional weigh loss (OR 2.197 CI 95% 1.493–3.233); unsociability (OR 1.561 CI 95% 1.060–2.299); and clinical instability (OR 1.363 CI 95% 1.109–1.677).ConclusionsThe feeding dependence prevalence emerged seem to be unique compared to that documented at the international levels. Modifiable and unmodifiable predictors found require new policies regarding workforce skills-mix and shifts schedules; as well as alliances with families, associations and communities’ stakeholders. According to the complexity of the resident profile emerged, staff education and training is also recommended.