US Nurses Research Articles

Prescribing Trends and Associated Outcomes of Antiepileptic Drugs and Other Psychotropic Medications in US Nursing Homes: Proposal for a Mixed Methods Investigation.

Pilot data suggest that off-label, unmonitored antiepileptic drug prescribing for behavioral and psychological symptoms of dementia is increasing, replacing other psychotropic medications targeted by purposeful reduction efforts. This trend accelerated during the COVID-19 pandemic. Although adverse outcomes related to this trend remain unknown, preliminary results hint that harms may be increasing and concentrated in vulnerable populations. Using a mixed methods approach including both a retrospective secondary data analysis and a national clinician survey, this study aims to describe appropriate and potentially inappropriate antiepileptic and other psychoactive drug prescribing in US nursing homes (NHs), characteristics and patient-oriented outcomes associated with this prescribing, and how these phenomena may be changing under the combined stressors of the COVID-19 pandemic and the pressure of reduction initiatives. To accomplish the objective, resident-level, mixed-effects regression models and interrupted time-series analyses will draw on cohort elements linked at an individual level from the Centers for Medicare and Medicaid Services' (CMS) Minimum Data Set, Medicare Part D, Medicare Provider Analysis and Review, and Outpatient and Public Use Files. Quarterly cohorts of NH residents (2009-2021) will incorporate individual-level data, including demographics; health status; disease variables; psychotropic medication claims; comprehensive NH health outcomes; hospital and emergency department adverse events; and NH details, including staffing resources and COVID-19 statistics. To help explain and validate findings, we will conduct a national qualitative survey of NH prescribers regarding their knowledge and beliefs surrounding changing approaches to dementia care and associated outcomes. Funding was obtained in September 2022. Institutional review board exemption approval was obtained in January 2023. The CMS Data Use Agreement was submitted in May 2023 and signed in March 2024. Data access was obtained in June 2024. Cohort creation is anticipated by January 2025, with crosswalks finalized by July 2025. The first survey was fielded in October 2023 and published in July 2024. The second survey was fielded in March 2024. The results are in review as of July 2024. Iterative survey cycles will continue biannually until December 2026. Multidisciplinary dissemination of survey analysis results began in July 2023, and dissemination of secondary data findings is anticipated to begin January 2025. These processes are ongoing, with investigation to wrap up by June 2027. This study will detail appropriate and inappropriate antiepileptic drug use and related outcomes in NHs and describe disparities in long-stay subpopulations treated or not treated with psychotropics. It will delineate the impact of the pandemic in combination with national policies on dementia management and outcomes. We believe this mixed methods approach, including processes that link multiple CMS data sets at an individual level and survey-relevant stakeholders, can be replicated and applied to evaluate a variety of patient-oriented questions in diverse clinical populations. DERR1-10.2196/64446.

Optimizing Response Rates to Examine Health IT Maturity and Nurse Practitioner Care Environments in US Nursing Homes: Mixed Mode Survey Recruitment Protocol.

Survey-driven research is a reliable method for large-scale data collection. Investigators incorporating mixed-mode survey designs report benefits for survey research including greater engagement, improved survey access, and higher response rate. Mix-mode survey designs combine 2 or more modes for data collection including web, phone, face-to-face, and mail. Types of mixed-mode survey designs include simultaneous (ie, concurrent), sequential, delayed concurrent, and adaptive. This paper describes a research protocol using mixed-mode survey designs to explore health IT (HIT) maturity and care environments reported by administrators and nurse practitioners (NPs), respectively, in US nursing homes (NHs). The aim of this study is to describe a research protocol using mixed-mode survey designs in research using 2 survey tools to explore HIT maturity and NP care environments in US NHs. We are conducting a national survey of 1400 NH administrators and NPs. Two data sets (ie, Care Compare and IQVIA) were used to identify eligible facilities at random. The protocol incorporates 2 surveys to explore how HIT maturity (survey 1 collected by administrators) impacts care environments where NPs work (survey 2 collected by NPs). Higher HIT maturity collected by administrators indicates greater IT capabilities, use, and integration in resident care, clinical support, and administrative activities. The NP care environment survey measures relationships, independent practice, resource availability, and visibility. The research team conducted 3 iterative focus groups, including 14 clinicians (NP and NH experts) and recruiters from 2 national survey teams experienced with these populations to achieve consensus on which mixed-mode designs to use. During focus groups we identified the pros and cons of using mixed-mode designs in these settings. We determined that 2 mixed-mode designs with regular follow-up calls (Delayed Concurrent Mode and Sequential Mode) is effective for recruiting NH administrators while a concurrent mixed-mode design is best to recruit NPs. Participant recruitment for the project began in June 2023. As of April 22, 2024, a total of 98 HIT maturity surveys and 81 NP surveys have been returned. Recruitment of NH administrators and NPs is anticipated through July 2025. About 71% of the HIT maturity surveys have been submitted using the electronic link and 23% were submitted after a QR code was sent to the administrator. Approximately 95% of the NP surveys were returned with electronic survey links. Pros of mixed-mode designs for NH research identified by the team were that delayed concurrent, concurrent, and sequential mixed-mode methods of delivering surveys to potential participants save on recruitment time compared to single mode delivery methods. One disadvantage of single-mode strategies is decreased versatility and adaptability to different organizational capabilities (eg, access to email and firewalls), which could reduce response rates. DERR1-10.2196/56170.

Four Years And More Than 200,000 Deaths Later: Lessons Learned From The COVID-19 Pandemic In US Nursing Homes.

Nursing home residents and staff were disproportionately affected by the COVID-19 pandemic, drawing attention to long-standing challenges of poor infection control, understaffing, and substandard quality of care in many facilities. Evolving practices and policies during the pandemic often focused on these challenges, with little effect. Despite the emergence of best practices to mitigate transmission of the virus, even the highest-quality facilities experienced outbreaks, indicating a larger systemic problem, rather than a quality problem at the facility level. Here we present a narrative review and discussion of the evolution of policies and practices and their effectiveness, drawing on evidence from the United States that was published during 2020-23. The lessons learned from this experience point to the need for more fundamental and nuanced changes to avoid similar outcomes from a future pandemic: greater integration of long-term care into public health planning, and ultimately a shift in the physical structure of nursing homes. More incremental measures such as vaccination mandates, higher staffing, and balancing infection control with resident quality of life will avoid some adverse outcomes, but without more systemic change, nursing home residents and staff will remain at substantial risk for repetition of the poor outcomes from the COVID-19 pandemic.

Geographic Variation of Antidementia and Antipsychotic Medication Use Among US Nursing Home Residents With Dementia.

Several antidementia medications have been approved for symptomatic treatment of cognitive and functional impairment due to Alzheimer disease. Antipsychotics are often prescribed off-label for behavioral symptoms. The aim of this study was to describe the basis for regional variation in antidementia and antipsychotic medication use. US nursing homes (n=9735), hospital referral regions (HRR; n=289). Long-stay residents with dementia (n=273,004). Using 2018 Minimum Data Set 3.0 linked to Medicare data, facility information, and Dartmouth Atlas files, we calculated prevalence of use and separate multilevel logistic models [outcomes: memantine, cholinesterase inhibitor (ChEI), antipsychotic use] estimated adjusted odds ratios (aOR) and 95% CIs for resident, facility, and HRR characteristics. We then fit a series of cross-classified multilevel logistic models to estimate the proportional change in cluster variance (PCV). Overall, 20.9% used antipsychotics, 16.1% used memantine, and 23.3% used ChEIs. For antipsychotics, facility factors [eg, use of physical restraints (aOR: 1.08; 95% CI: 1.05-1.11) or poor staffing ratings (aOR: 1.10; 95% CI: 1.06-1.14)] were associated with more antipsychotic use. Nursing homes in HRRs with the highest health care utilization had greater antidementia drug use (aOR memantine: 1.68; 95% CI: 1.44-1.96). Resident/facility factors accounted for much regional variation in antipsychotics (PCV STATE : 27.80%; PCV HRR : 39.54%). For antidementia medications, HRR-level factors accounted for most regional variation (memantine PCV STATE : 37.44%; ChEI PCV STATE : 39.02%). Regional variations exist in antipsychotic and antidementia medication use among nursing home residents with dementia suggesting the need for evidence-based protocols to guide the use of these medications.

Factors Associated With the Ability of US Nursing Homes to Accept Residents With Severe Obesity

ObjectivesSevere obesity in nursing home (NH) residents is associated with specialized care needs, limited mobility, and challenges in daily living. The COVID-19 pandemic strained NH resources and exacerbated staffing shortages. This study aimed to assess the ability of US NHs to accept and care for residents with severe obesity post-COVID, as well as associated NH factors. DesignCross-sectional nationwide survey of NH administrators (2021-2022). Setting and Participants290 NHs from a national sample (n = 224) and a targeted sample in Massachusetts and New Jersey (n = 66). MethodsA survey designed to assess how NHs approach admitting and caring for people with severe obesity before and after COVID was fielded from 2021 to 2022. Responses were linked to facility information from the Certification and Survey Provider Enhanced Reports, Minimum Data Set, Nursing Home Compare, Area Health Resources File, and US Diabetes Surveillance System. Multivariable logistic regression was used to assess the effect of organizational and survey response variables. ResultsOf the 2503 surveys sent to US NHs, 1923 were sent to the national NH stratified sample, and 580 were sent to the MA/NJ sample. Overall, 12% (301 of 2503) of NHs surveyed responded. The response rates were similar between the 2 samples. Of 290 NHs with complete data, 34% reported being unlikely to accept residents with severe obesity after COVID-19, compared with 25% before the pandemic (P < .001). The main barriers to acceptance were staffing shortages and difficulties meeting equipment and space needs. NHs with higher proportions of Black residents were more likely to admit individuals with severe obesity. Conclusions and ImplicationsThe decline in acceptance of residents with severe obesity during and after COVID-19 highlights potential challenges that this population faces in accessing care. Our results also raise concerns that an intersection of disparities may exist in Black patients with severe obesity.

Occupational Injuries in the US Nursing Homes.

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

Is more always better? The influences of guanxi beliefs, participative decision-making and perceived organizational politics on HK and US nurses’ job satisfaction

PurposeDrawing on the challenge–hindrance stressor framework and the “too-much-of-a-good-thing” principle, this study examined the curvilinear effects of two emic social challenge stressors (guanxi beliefs and participative decision-making (PDM)) and the moderating effect of an etic social hindrance stressor (perceived organizational politics) on Hong Kong and United States nurses’ job satisfaction.Design/methodology/approachA quantitative survey method was implemented, with the data provided by 355 Hong Kong nurses and 116 United States nurses. Structural equation modeling was used to examine the degree of measurement equivalence across Hong Kong and US nurses. The proposed model and the research questions were tested using nonlinear structural equation modeling analyses.FindingsThe results show that while guanxi beliefs only showed an inverted U-shaped relation on Hong Kong nurses’ job satisfaction, PDM had an inverted U-shaped relation with both Hong Kong and United States nurses’ job satisfaction. The authors also found that Hong Kong nurses experienced the highest job satisfaction when their guanxi beliefs and perceived organization politics were both high.Research limitations/implicationsThe results add to the comprehension of the nuances of the often-held assumption of linearity in organizational sciences and support the speculation of social stressors-outcomes linkages.Practical implicationsManagers need to recognize that while the nurturing and development of effective relationships with employees via social interaction are important, managers also need to be aware that too much guanxi and PDM may lead employees to feel overwhelmed with expectations of reciprocity and reconciliation to such an extent that they suffer adverse outcomes and become dissatisfied with their jobs.Originality/valueFirst, the authors found that influences of guanxi beliefs and PDM are not purely linear and that previous research may have neglected the curvilinear nature of their influences on job satisfaction. Second, the authors echo researchers’ call to consider an organization’s political context to fully understand employees’ attitudes and reactions toward social interactions at work. Third, the authors examine boundary conditions of curvilinear relationships to understand the delicate dynamics.

Leveraging Artificial Intelligence to Predict Health Belief Model and COVID-19 Vaccine Uptake Using Survey Text from US Nurses.

We investigated how artificial intelligence (AI) reveals factors shaping COVID-19 vaccine hesitancy among healthcare providers by examining their open-text comments. We conducted a longitudinal survey starting in Spring of 2020 with 38,788 current and former female nurses in three national cohorts to assess how the pandemic has affected their livelihood. In January and March-April 2021 surveys, participants were invited to contribute open-text comments and answer specific questions about COVID-19 vaccine uptake. A closed-ended question in the survey identified vaccine-hesitant (VH) participants who either had no intention or were unsure of receiving a COVID-19 vaccine. We collected 1970 comments from VH participants and trained two machine learning (ML) algorithms to identify behavioral factors related to VH. The first predictive model classified each comment into one of three health belief model (HBM) constructs (barriers, severity, and susceptibility) related to adopting disease prevention activities. The second predictive model used the words in January comments to predict the vaccine status of VH in March-April 2021; vaccine status was correctly predicted 89% of the time. Our results showed that 35% of VH participants cited barriers, 17% severity, and 7% susceptibility to receiving a COVID-19 vaccine. Out of the HBM constructs, the VH participants citing a barrier, such as allergic reactions and side effects, had the most associated change in vaccine status from VH to later receiving a vaccine.

Plant-Based Diets and Risk of Hip Fracture in Postmenopausal Women

Previous research has found that vegetarian diets are associated with lower bone mineral density and higher risk of fractures, but these studies did not differentiate the quality of the plant-based foods. To examine the association between the quality of plant-based diets (not necessarily vegan but also omnivorous) and hip fracture risk among postmenopausal women in the Nurses' Health Study. This cohort study analyzed data from 70 285 postmenopausal women who participated in the US Nurses' Health Study from 1984 through 2014. Data were analyzed from January 1 to July 31, 2023. Hip fractures were self-reported on biennial questionnaires. Diet was assessed every 4 years using a validated semiquantitative food frequency questionnaire. Plant-based diet quality was assessed using 2 previously established indices: the healthful Plant-Based Diet Index (hPDI), for which healthy plant foods (whole grains, fruits, vegetables, nuts, legumes, vegetable oils, and tea or coffee) received positive scores, whereas less healthy plant foods (fruit juices, sweetened beverages, refined grains, potatoes, and sweets or desserts) and animal foods received reversed scores; and the unhealthful Plant-Based Diet Index (uPDI), for which positive scores were given to less healthy plant foods and reversed scores to healthy plant and animal foods. Quintile scores of 18 food groups were summed, with a theoretical range for both indices of 18 to 90 (highest adherence). Cox proportional hazards regression with time-varying covariates was used to compute hazard ratios (HRs) and 95% CIs for hip fracture. In total, 70 285 participants (mean [SD] age, 54.92 [4.48] years; 100% White women) were included, and 2038 cases of hip fracture were ascertained during the study and for up to 30 years of follow-up. Neither the hPDI (HR for highest vs lowest quintile, 0.97 [95% CI, 0.83-1.14]) nor the uPDI (HR for highest vs lowest quintile, 1.02 [95% CI, 0.87-1.20]) for long-term diet adherence was associated with hip fracture risk. However, when examining recent intake for the highest vs lowest quintiles, the hPDI was associated with 21% lower risk of hip fracture (HR, 0.79 [95% CI, 0.68-0.92]; P = .02 for trend), and the uPDI was associated with 28% higher risk (1.28 [95% CI, 1.09-1.51]; P = .008 for trend). Findings of this cohort study indicated that long-term adherence to healthful or unhealthful plant-based diets as assessed by hPDI and uPDI scores was not associated with hip fracture risk. Future research should clarify whether the associations observed with recent dietary intake are due to short-term effects of these dietary patterns, reverse causality, or both.

Exploring US Nursing Leadership During the Initial COVID-19 Pandemic Response: A Qualitative Descriptive Study to Guide Leadership Development for Future Emergent Situations.

This study aimed to describe the experiences of nurse leaders during the 1st wave of the COVID-19 pandemic to enhance understanding in preparation for future disasters. The COVID-19 pandemic has posed significant challenges to the healthcare system globally. Nurse leaders play an essential part and have a significant impact on the efficacy of disaster management in future emergent situations. The parent study conducted interviews with 100 nurses in the United States across specialty areas. This article presents a subgroup analysis of interview data from 13 self-identified nurse leaders. The research team used qualitative descriptive methodology and thematic analysis to identify patterns within the data. Five themes were identified for effective nurse leadership during an emerging pandemic: 1) responsiveness; 2) anticipating needs; 3) care innovations; 4) collaboration; and 5) adaptability. Supporting nurse leaders to exhibit effective leadership during periods of crisis is imperative to increase preparedness for future health events, protect population health, and create a pipeline of future nursing leadership. Involving nursing in developing and reforming policy is integral.

Real-world Effectiveness of mRNA COVID-19 Vaccines Among US Nursing Home Residents Aged ≥65 Years in the Pre-Delta and High Delta Periods.

Long-term care residents were among the most vulnerable during the COVID-19 pandemic. We estimated vaccine effectiveness of mRNA COVID-19 vaccines in Medicare nursing home residents aged ≥65 years during pre-Delta and high Delta periods. We conducted a retrospective cohort study from 13 December 2020 to 20 November 2021 using Medicare claims data. Exposures included 2 and 3 doses of Pfizer-BioNTech and Moderna COVID-19 vaccines. We used inverse probability weighting and Cox proportional hazards models to estimate absolute and relative vaccine effectiveness. Two-dose vaccine effectiveness against COVID-19-related death was 69.8% (95% CI, 65.9%‒73.3%) during the pre-Delta period and 55.7% (49.5%‒61.1%) during the high Delta period, without adjusting for time since vaccination. We observed substantial waning of effectiveness from 65.1% (54.2%‒73.5%) within 6 months from second-dose vaccination to 45.2% (30.6%‒56.7%) ≥6 months after second-dose vaccination in the high Delta period. Three doses provided 88.7% (73.5%‒95.2%) vaccine effectiveness against death, and the incremental benefit of 3 vs 2 doses was 74.6% (40.4%‒89.2%) during high Delta. Among beneficiaries with a prior COVID-19 infection, 3-dose vaccine effectiveness for preventing death was 78.6% (50.0%‒90.8%), and the additional protection of 3 vs 2 doses was 70.0% (30.1%‒87.1%) during high Delta. Vaccine effectiveness estimates against less severe outcomes (eg, infection) were lower. This nationwide real-world study demonstrated that mRNA COVID-19 vaccines provided substantial protection against COVID-19-related death. Two-dose protection waned after 6 months. Third doses during the high Delta period provided significant additional protection for individuals with or without a prior COVID-19 infection.

The Prevalence of Type II Workplace Violence in US Nurses 2000 to 2022: A Meta-Analysis.

Physical violence against nurses is a concern in the United States; however, its prevalence is not well quantified. We sought to describe the prevalence of workplace violence against nurses in the United States over a 22-year period. A meta-analysis was performed following a literature search of English texts through Scopus, CINAHL Plus, and Ovid MEDLINE. Inclusion criteria included the following: (1) primary reports of workplace violence incidents in the United States against nurses, (2) perpetrator was a patient, family member, or visitor, and (3) publications between January 1, 2000, and June 21, 2022. Reports where prevalence rates for nurses could not be calculated were excluded. Study quality was assessed using the Strengthening the Reporting of Observational Studies in Epidemiology checklist. Thirty-seven studies met the inclusion criteria; 27 030 nurses were included. The pooled prevalence of workplace violence was 0.35 (95% confidence interval [CI]: 0.29-0.42; Q = 3189.40; I2 = 98.87). Pooled rates of workplace violence increased from 30% in 2000 to 2004 to 43% in 2020 to 2022; however, the overlapping CIs indicate that the increase may not be statistically significant. The mean prevalence of reported workplace violence among nurses who work in the emergency department, in corrections, and psychiatric mental health settings (pooled prevalence = 0.59, 95% CI: 0.46-0.71) was higher than that of nurses who worked in all other settings (pooled prevalence = 0.24, 95% CI: 0.18-0.30). Workplace violence is a significant and potentially increasing problem for nurses in the United States. This critical problem requires an effective response from nurse policymakers.

Association of COVID-19 Vaccination Rates and Facility Characteristics on COVID-19 Cases, Hospitalizations, and Deaths in US Nursing Homes

ObjectivesNursing home residents have been disproportionately affected by the COVID-19 pandemic. Despite recognition as a priority group for receipt of the COVID-19 vaccine, vaccine uptake and COVID-19 cases, hospitalizations, and deaths in nursing home facilities were variable across nursing homes. This study has 2 objectives: (1) to describe nursing facility characteristics associated with higher vs lower vaccination rates and (2) to estimate facility characteristics associated with COVID-19 cases, hospitalizations, and deaths, stratified by vaccination rate. DesignCross-sectional study. Setting and ParticipantsFacility-level data from 12,811 US nursing home facilities. MethodsUsing the CMS's Nursing Home COVID-19 Public File, we analyzed nursing home COVID-19 vaccination rates and outcomes from June 13, 2021, to September 19, 2021. We performed multivariable logistic regressions and identified facility characteristics associated with increased vaccination uptake and COVID-19 outcomes. ResultsNursing homes with average vaccination rates ≤80% experienced higher total average COVID-19 cases, hospitalizations, and deaths compared to facilities with >80% average vaccination rates during the Delta surge. Moreover, facility factors, such as higher average age of residents, proportion of non-white residents, nurse staffing hours, and occupancy rates, were variably associated with increased risk of COVID-19 outcomes. Conclusions and ImplicationsFacilities with higher resident vaccination rates experienced lower average COVID-19 cases, hospitalizations, and deaths in US nursing homes. Access to vaccines may play a role in mitigating harm associated with infectious diseases. Additionally, facility factors associated with increased adverse outcomes were variably associated with increased odds of COVID-19 outcomes, often, irrespective of vaccination level. As the COVID-19 pandemic continues to evolve and as the possibility of other infectious disease variants emerge, this research provides insight into facility factors, including vaccine uptake, that may mitigate adverse outcomes.

Confirmatory Factor Analysis of the Spirituality and Spiritual Care Rating Scale: A Cross-Sectional Study in Eight US Nursing Homes.

The aim of this study was to test a modified Spirituality and Spiritual Care Rating Scale (SSCRS) and report initial findings, based on a cross-sectional descriptive survey from eight nursing homes in the USA. This study examined the psychometric properties of a modified version of the SSCRS for assessing the perceptions of staff (i.e. nurses, rehabilitation staff, food and nutrition service staff, activities staff, social workers, and administrative staff) who work in nursing homes. The modified version of the SSCRS is measuring respondents' perceptions of spirituality, spiritual care, religiosity, and personalized care. Confirmatory factor analysis showed satisfactory goodness of fit for the original four-factor structure of the SSCRS. The modified version demonstrated good internal consistency and reliability (Cronbach's alpha ranging from 0.71 to 0.90). Initial findings showed statistically significant differences across all four sub-scales. Further research is needed to psychometrically test the modified tool.

Labor Unions and Staff Turnover in US Nursing Homes

This cross-sectional study examines the association between labor unions and health care staff turnover in the US using data from 2021.

A Survey of Technology Abandonment in US Nursing Homes

ObjectiveAdoption of health information technology (HIT) in nursing homes (NHs) improves quality of care. Although there is a robust body of research on HIT adoption, the closely related process of technology abandonment is not well understood. As NHs grow more reliant on HIT, problems of technology abandonment, defined as failure to scale up, spread, and sustain HIT need to be studied. Our objective is to describe HIT abandonment and its associations with organizational characteristics among a national sample of US NHs. DesignLongitudinal, retrospective analysis of data from 2 sources: HIT Maturity Survey and Staging model and public data from the Care Compare database. Setting and ParticipantsRandom sample of NHs (n = 299) representing each US state that completed the HIT maturity survey in 2 consecutive years: year 1 (Y1) was June 2019–August 2020 and year 2 (Y2) was June 2020–August 2021. MethodsThe primary dependent variable was technology abandonment, operationalized by using total HIT maturity score, HIT maturity stage, and subscale scores within each dimension/domain. Independent variables were NH organizational characteristics including bed size, type of ownership, urbanicity, Centers for Medicare & Medicaid Services Five-Star Overall Rating and Staffing Rating. ResultsOver the 2-year period, HIT abandonment occurred in 28% (n = 85) of NHs compared with 44% (n = 133) that experienced growth in HIT systems. HIT capabilities in resident care were abandoned most frequently. Using multivariable multinomial logistic regression, we found that large NHs (bed size greater than 120) were more likely to experience technology abandonment in administrative activities. Conclusions and ImplicationsTechnology abandonment can increase strain on scarce resources and may impact administrators’ ability to oversee clinical operations, especially in large NHs. This study contributes to the limited understanding of technology abandonment and can serve as a building block for others working to ensure limited resources are used effectively to improve care for NH residents.

Nurse Practitioner Employment in Relation to Nursing Staff Turnover and Resident Care Outcomes in US Nursing Homes

ObjectivesA growing number of nurse practitioners (NPs) are employed in nursing homes (NHs) through various NP staffing mechanisms. The purpose of this study was to examine if having NH-employed NPs was associated with nursing staff turnover and resident care outcomes measured as hospital utilization, infection control citations, and substantiated complaints in NHs in 2021–2022. DesignA cross-sectional, retrospective study. Setting and ParticipantsA total of 13,966 NHs from payroll-based journal (PBJ) and claim-based quality measures published by the Centers for Medicare and Medicaid Services in 2021–2022. MethodsFacilities were identified as having NH-employed NPs if at least 1 employed NP with paid working hours ≥10 per week was reported through the PBJ. We examined if having NH-employed NPs was associated with nursing staff turnover rates, unplanned hospital utilization, infection control citations, and substantiated complaints using doubly robust estimation that combined inverse probability weight representing the NH's likelihood of employing NPs and outcome regression. ResultsApproximately, 2.8% of NHs had employed NPs. Facilities with NH-employed NPs tended to be larger, hospital affiliated, and not for profit with greater medical and nursing staff availability. In addition, a significantly higher proportion of facilities with NH-employed NPs were in metropolitan areas or states with full NP practice independence. We found that facilities with NH-employed NPs had significantly lower registered nurse (adjusted β, −5.40; 95% CI, −9.50 to −1.30) and certified nursing assistant turnover rates (adjusted β, −3.35; 95% CI, −6.29 to −0.40). Facilities with NH-employed NPs also had significantly fewer long-stay resident hospitalizations, infection control citations, and substantial complaints compared with those with no NH-employed NPs. Conclusions and ImplicationsThis study highlights the value of NH-employed NPs to improve registered nurse and certified nursing assistant staff retention and NH resident outcomes. NH stakeholders and policymakers may consider various strategies to incentivize NP employment in NHs such as removing regulatory barriers to NP practice.

First-trimester occupational exposures and hypertensive disorders of pregnancy among US nurses.

Limited and conflicting data exist regarding the impact of first-trimester nursing occupational exposures on hypertensive disorders of pregnancy (HDP). To investigate whether first-trimester night shift work, work hours and work-related activities are associated with HDP. We conducted a cross-sectional analysis of 6610 women within the Nurses' Health Study II. We used multiple logistic regression to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) for the relation of occupational exposures to HDP. Nine per cent of respondents reported an HDP in the index pregnancy (gestational hypertension: n = 354, 5%, preeclampsia: n = 222, 3%). First-trimester fixed or rotating night shift work was not significantly associated with gestational hypertension or preeclampsia compared to day shift work only. Compared to those working 21-40 h/week, working overtime (≥41 h/week) was not associated with gestational hypertension but was associated with 43% higher odds of preeclampsia (95% CI 1.02, 2.00). For part-time work (≤20 h/week), the OR was 0.76 (95% CI 0.56, 1.02) for gestational hypertension and 0.64 (95% CI 0.43, 0.97) for preeclampsia. The odds of preeclampsia were 3% higher per additional hour worked per week (95% CI 1.01-1.04). Compared to 0-4 h spent standing or walking per day, standing or walking ≥9 h daily was associated with 32% lower odds of gestational hypertension (95% CI 0.47, 0.99) but was not significantly associated with preeclampsia. Frequency of heavy lifting was not associated with either hypertensive disorder or pregnancy. Among nurses, working overtime was associated with higher odds of preeclampsia.

The Burden and Treatment of Chronic Constipation Among US Nursing Home Residents.

To evaluate the burden of chronic constipation (CC) and the use of drugs to treat constipation (DTC) in 2 complementary data sources. Retrospective cohort study. US nursing home residents aged ≥65years with CC. We conducted 2 retrospective cohort studies in parallel using (1) 2016 electronic health record (EHR) data from 126 nursing homes and (2) 2014-2016 Medicare claims, each linked with the Minimum Data Set (MDS). CC was defined as (1) the MDS constipation indicator and/or (2) chronic DTC use. We described the prevalence and incidence rate of CC and the use of DTC. In the EHR cohort, we identified 25,739 residents (71.8%) with CC during 2016. Among residents with prevalent CC, 37% received a DTC, with an average duration of use of 19days per resident-month during follow-up. The most frequently prescribed DTC classes included osmotic (22.6%), stimulant (20.9%), and emollient (17.9%) laxatives. In the Medicare cohort, a total of 245,578 residents (37.5%) had CC. Among residents with prevalent CC, 59% received a DTC and slightly more than half (55%) were prescribed an osmotic laxative. Duration of use was shorter (10days per resident-month) in the Medicare (vs EHR) cohort. The burden of CC is high among nursing home residents. The differences in the estimates between the EHR and Medicare data confirm the importance of using secondary data sources that include over-the-counter drugs and other treatments unobservable in Medicare Part D claims to assess the burden of CC and DTC use in this population.

Anxiety and Depression Among US Nursing Home Residents with Chronic Obstructive Pulmonary Disease.

Chronic obstructive pulmonary disease (COPD) is highly prevalent among nursing home residents; however, few studies have focused on the psychological impact of this clinically significant condition on nursing home residents. We examine the prevalence of, and factors associated with, anxiety and depression in nursing home residents with COPD. Using the US 2018 Minimum Dataset (MDS), we conducted a cross-sectional study among 239,615 residents aged ≥50 years old in US Medicare/Medicaid certified nursing homes with COPD. Anxiety and depression were diagnosed based on clinical diagnoses, physical examination findings, and treatment orders. Multivariable adjusted Poisson models with a generalized estimating equations approach account for the clustering among residents within nursing homes. The average age of the study population was 79 years (SD: 10.6), 62.0% were women, and 43.7% had five or more comorbid conditions. In this population, 37.2% had anxiety, 57.6% had depression, and 27.5% had both mental health conditions. Women, current tobacco users, persons 50-64 years old, those who reported having moderate or severe pain, and nursing home residents with multimorbidity were more likely to have anxiety or depression than respective comparison groups. Anxiety and depression are common among US nursing home residents with COPD. Women, medically complex patients, and those who report having moderate-to-severe pain appear to be more likely to have anxiety and depression. Clinical teams should be aware of these findings when managing nursing home residents with COPD and use various nonpharmacological and medical interventions for the effective management of anxiety and depression. Longitudinal studies evaluating how anxiety and depression affect the management of COPD and related outcomes, and how best to improve the quality of life of nursing home residents with COPD, are warranted.