State scope of practice restrictions and nurse practitioner practice in nursing homes: 2012-2019.

Increased engagement of nurse practitioners (NPs) has been recommended as a way to address care delivery challenges in settings that struggle to attract physicians, such as primary care and rural areas. Nursing homes also face such physician shortages. We evaluated the role of state scope of practice regulations on NP practice in nursing homes in 2012-2019. Using linear probability models, we estimated the proportion of NP-delivered visits to patients in nursing homes as a function of state scope of practice regulations. Control variables included county demographic, socioeconomic, and health care workforce characteristics; state fixed effects; and year indicators. The proportion of nursing home visits conducted by NPs increased from 24% in 2012 to 42% in 2019. Expanded scope of practice regulation was associated with a greater proportion and total volume of nursing home visits conducted by NPs in counties with at least 1 NP visit. These relationships were concentrated among short-stay patients in urban counties. Removing scope of practice restrictions on NPs may address clinician shortages in nursing homes in urban areas where NPs already practice in nursing homes. However, improving access to advanced clinician care for long-term care residents and for patients in rural locations may require additional interventions and resources.

Dynamical Approach to the Jamming Problem.

A simple dynamical model, biased random organization (BRO), appears to produce configurations known as random close packing (RCP) as BRO's densest critical point in dimension d=3. We conjecture that BRO likewise produces RCP in any dimension; if so, then RCP does not exist in d=1-2 (where BRO dynamics lead to crystalline order). In d=3-5, BRO produces isostatic configurations and previously estimated RCP volume fractions 0.64, 0.46, and 0.30, respectively. For all investigated dimensions (d=2-5), we find that BRO belongs to the Manna universality class of dynamical phase transitions by measuring critical exponents associated with the steady-state activity and the long-range density fluctuations. Additionally, BRO's distribution of near contacts (gaps) displays behavior consistent with the infinite-dimensional theoretical treatment of RCP when d≥4. The association of BRO's densest critical configurations with random close packing implies that RCP's upper-critical dimension is consistent with the Manna class d_{uc}=4.

Effects Of An Employee COVID-19 Vaccination Mandate At A Long-Term Care Network.

We assessed COVID-19 vaccination and employment status among employees of a long-term care network that announced an employee vaccination mandate on July 29, 2021. The day before the announcement, 1,208 employees were unvaccinated; of these workers, 56.2 percent subsequently were vaccinated, whereas 20.9 percent (3.7 percent of active employees) were terminated because of noncompliance with the mandate.

Prognostic communication about lung cancer in the precision oncology era: A multiple-perspective qualitative study.

BACKGROUND: Although most patients with cancer prefer to know their prognosis, prognostic communication between oncologists and patients is often insufficient. Targeted therapies for lung cancer improve survival yet are not curative and produce variable responses. This study sought to describe how oncologists communicate about prognosis with patients receiving targeted therapies for lung cancer. METHODS: This qualitative study included 39 patients with advanced lung cancer with targetable mutations, 14 caregivers, and 10 oncologists. Semistructured interviews with patients and caregivers and focus groups or interviews with oncologists were conducted to explore their experiences with prognostic communication. One oncology follow-up visit was audio-recorded per patient. A framework approach was used to analyze interview transcripts, and a content analysis of patient-oncologist dialogue was conducted. Themes were identified within each source and then integrated across sources to create a multidimensional description of prognostic communication. RESULTS: Six themes in prognostic communication were identified: Patients with targetable mutations develop a distinct identity in the lung cancer community that affects their information-seeking and self-advocacy; oncologists set high expectations for targeted therapy; the uncertain availability of new therapies complicates prognostic discussions; patients and caregivers have variable information preferences; patients raise questions about progression by asking about physical symptoms or scan results; and patients' expectations of targeted therapy influence their medical decision-making. CONCLUSIONS: Optimistic patient-oncologist communication shapes the expectations of patients receiving targeted therapy for lung cancer and affects their decision-making. Further research and clinical guidance are needed to help oncologists to communicate uncertain outcomes effectively.

Incidence and Outcomes of SARS-CoV-2 in Post-Acute Skilled Nursing Facility Care.

OBJECTIVES: To examine the risk of contracting SARS-CoV-2 during a post-acute skilled nursing facility (SNF) stay and the associated risk of death. DESIGN: Cohort study using Minimum Data Set and electronic health record data from a large multistate long-term care provider. Primary outcomes included testing positive for SARS-CoV-2 during the post-acute SNF stay, and death among those who tested positive. SETTING AND PARTICIPANTS: The sample included all new admissions to the provider's 286 SNFs between January 1 and December 31, 2020. Patients known to be infected with SARS-CoV-2 at the time of admission were excluded. METHODS: SARS-CoV-2 infection and mortality rates were measured in time intervals by month of admission. A parametric survival model with SNF random effects was used to measure the association of patient demographic factors, clinical characteristics, and month of admission, with testing positive for SARS-CoV-2. RESULTS: The sample included 45,094 post-acute SNF admissions. Overall, 5.7% of patients tested positive for SARS-CoV-2 within 100 days of admission, with 1.0% testing positive within 1-14 days, 1.4% within 15-30 days, and 3.4% within 31-100 days. Of all newly admitted patients, 0.8% contracted SARS-CoV-2 and died, whereas 6.7% died without known infection. Infection rates and subsequent risk of death were highest for patients admitted during the first and third US pandemic waves. Patients with greater cognitive and functional impairment had a 1.45 to 1.92 times higher risk of contracting SARS-CoV-2 than patients with less impairment. CONCLUSIONS AND IMPLICATIONS: The absolute risk of SARS-CoV-2 infection and death during a post-acute SNF admission was 0.8%. Those who did contract SARS-CoV-2 during their SNF stay had nearly double the rate of death as those who were not infected. Findings from this study provide context for people requiring post-acute care, and their support systems, in navigating decisions around SNF admission during the SARS-CoV-2 pandemic.

Lessons Learned From Dear Pandemic, a Social Media-Based Science Communication Project Targeting the COVID-19 Infodemic.

The World Health Organization has identified excessive COVID-19 pandemic-related information as a public health crisis, calling it an "infodemic." Social media allows misinformation to spread quickly and outcompete scientifically grounded information delivered via other methods. Dear Pandemic is an innovative, multidisciplinary, social media-based science communication project whose mission is to educate and empower individuals to successfully navigate the overwhelming amount of information circulating during the pandemic. This mission has 2 primary objectives: (1) to disseminate trustworthy, comprehensive, and timely scientific content about the pandemic to lay audiences via social media and (2) to promote media literacy and information-hygiene practices, equipping readers to better manage the COVID-19 infodemic within their own networks. The volunteer team of scientists publishes 8-16 posts per week on pandemic-relevant topics. Nearly 2 years after it launched in March 2020, the project has a combined monthly reach of more than 4 million unique views across 4 social media channels, an email newsletter, and a website. We describe the project's guiding principles, lessons learned, challenges, and opportunities. Dear Pandemic has emerged as an example of a promising new paradigm for public health communication and intervention. The contributors deliver content in ways that are personal, practical, actionable, responsive, and native to social media platforms. The project's guiding principles are a model for public health communication targeting future infodemics and can bridge the chasm between the scientific community and the practical daily decision-making needs of the general public.

Younger Individuals Increase Their Use of Nursing Homes Following ACA Medicaid Expansion.

OBJECTIVES: This study examines the effect of Medicaid eligibility expansion under the Affordable Care Act (ACA) on the utilization of nursing home services by younger individuals and those covered by Medicaid. DESIGN: Compared the age of nursing home residents, proportion of individuals covered by Medicaid, annual nursing home admissions in those younger than 65, and nursing home length of stay in states that expanded Medicaid eligibility through the ACA to states that did not. We used data from LTCFocus (nursing home level), the Minimum Data Set (individual level), and Medicaid expansion status from the Kaiser Family Foundation. SETTING AND PARTICIPANTS: The study included 15,005,888 nursing home admissions, 2,446,950 of which were residents younger than 65, across 14,132 nursing homes between 2009 and 2016. METHODS: A time-varying difference-in-difference model including state and year fixed effects with effect modification by pre-2014 nursing home occupancy. RESULTS: Facilities in expansion states with a pre-ACA occupancy rate of more than 70% increased the fraction of residents younger than 65 by 2.74% to 6.32%, compared with similar facilities in nonexpansion states. Medicaid admissions varied, with an increase in year 2 after expansion compared with nonexpansion states. Among residents entering from an acute care hospital, the proportion younger than 65 increased in facilities with pre-2014 occupancy rates of more than 70%, compared with similar facilities in nonexpansion states, an increase of up to 6.51%. Median nursing home length of stay for individuals younger than 65 decreased relative to nonexpansion states across all occupancy categories, ranging from 1.68 to 6.06 days after Medicaid expansion. CONCLUSIONS AND IMPLICATIONS: Medicaid expansion increased access to nursing home post-acute care for individuals younger than 65. It remains unclear if the benefit of post-acute care is the same among this group, or if the needs of younger individuals can be adequately met in this setting.

Use of Post-Acute Care by Medicare Beneficiaries With a Diagnosis of Dementia.

OBJECTIVES: Hospitalized patients with dementia transitioning to post-acute care may be particularly vulnerable to changes in post-acute care utilization driven by payment reforms; however, use of post-acute care in this population is incompletely understood. We sought to describe post-acute care utilization in skilled nursing facilities (SNFs) and from home health (HH) agencies among Medicare beneficiaries with a diagnosis of dementia. DESIGN: Retrospective, observational study using 100% sample of Medicare beneficiaries from 2013 to 2016. SETTING AND PARTICIPANTS: We identified hospitalizations and diagnoses using Medicare Provider Analysis and Review (MedPAR), SNF stays using the Minimum Data Set, HH episodes using the Outcome and Assessment Information Set, and dementia diagnoses using the Medicare Beneficiary Summary File Chronic Conditions segment. METHODS: We calculated overall utilization and trends in post-acute care use over time, stratified by dementia diagnosis, type of post-acute care (SNF vs HH), and payer (fee-for-service vs Medicare Advantage). RESULTS: Of the 9,762,208 Medicare fee-for-service beneficiaries who received post-acute care from 2013 to 2016, 3,155,560 (32.3%) carried a diagnosis of dementia. Rates of post-acute care use were similar over time. More beneficiaries with a diagnosis of dementia received post-acute care (44.2% vs 27.7%) and proportionally more SNF care (71.7% vs 49.6%). Overall use and trends were similar in the Medicare Advantage population. CONCLUSIONS AND IMPLICATIONS: One-third of all fee-for-service Medicare beneficiaries receiving post-acute care have a diagnosis of dementia, and more than 7 in 10 receive this care in an SNF. These findings serve as a foundation for needed evaluations of how best to meet the post-hospital needs of older adults with dementia.

Postacute care outcomes in home health or skilled nursing facilities in patients with a diagnosis of dementia.

OBJECTIVE: To compare the outcomes of postacute care between home health (HH) and skilled nursing facilities (SNFs) following hospitalization among Medicare beneficiaries with a diagnosis of dementia. DATA SOURCES: 100% MedPAR data, Minimum Data Set, and Outcome and Assessment Information Set assessment data from January 1, 2015 to December 31, 2016. STUDY DESIGN: Retrospective cohort analysis using an instrumental variable design to compare outcomes (30-day readmission and mortality, 100-day mortality) of HH versus SNF following acute hospitalization. We used the differential distance between patients' home and the closest HH agency and SNF to instrument for nonrandom allocation of patients. DATA COLLECTION/EXTRACTION METHODS: We identified hospital discharges followed by SNF and HH stays for Medicare fee-for-service beneficiaries with dementia. We excluded beneficiaries younger than age 65, admitted to the hospital from a nursing home, or enrolled in hospice. We identified dementia using validated diagnostic codes with a 3-year look-back. PRINCIPAL FINDINGS: Our sample included 977,946 beneficiaries with a diagnosis of dementia; 297,732 (30.4%) received HH, while 680,214 (69.6%) went to SNF. Overall, 16.8% were readmitted to the hospital and 6.1% died within 30 days, while 15.4% died within 100 days of hospital discharge. In the instrumental variable analysis, there were no differences in any outcome between the two postacute care settings. CONCLUSIONS: Medicare beneficiaries with a diagnosis of dementia receiving postacute care in HH or SNF experienced similar rates of readmission and mortality across settings. This finding raises important questions about current postacute care referral patterns, given 7 in 10 patients with a diagnosis of dementia in our sample were discharged to SNF.

Knowledge About Risks, Benefits, and Curative Potential of Immunotherapy Among Patients with Advanced Cancer.

BACKGROUND: Immunotherapy is the first-line treatment for melanoma and lung cancer and brings new risks of immune-related adverse events. We aimed to describe patients' knowledge about risks, benefits, and goals of immunotherapy. MATERIALS AND METHODS: We conducted a cross-sectional study of patients with advanced melanoma or non-small cell lung cancer that used a 9-item knowledge survey and questions from the Prognosis and Treatment Perceptions Questionnaire. RESULTS: We surveyed 105 participants (57 with melanoma, 48 with lung cancer) with median age 69 years (range 36-89). Participants' responses revealed knowledge deficits about immunotherapy mechanism of action and lack of awareness about the timing and severity of side effects. One third (34%; 36/105) of participants reported that the primary goal of their treatment is to cure their cancer. CONCLUSION: Given the widespread use of immunotherapy, patients would benefit from educational tools so that they know what to expect regarding side effects and prognosis.

Implementation of a Coronavirus Disease 2019 Vaccination Condition of Employment in a Community Nursing Home.

The rate of coronavirus disease 2019 (COVID-19) vaccination uptake by US nursing home staff remains low despite the increased risks of viral transmission and related morbidity and mortality in this setting. This study describes vaccine uptake activities including a COVID-19 vaccination condition of employment (COE) policy in one community nursing home. This case study summarizes the timeline of vaccination uptake activities, staff vaccination rates over time, and stakeholder perspectives around the implementation of a COVID-19 vaccination COE. Organizational data were used to calculate vaccination rates from January 1, 2021 until May 1, 2021 among all nursing home staff. Interviews were held with the executive leadership team, human resources leadership, and nursing home staff to understand the process of implementation. During a 4-month period, nursing home leaders provided 8 written handouts about COVID-19 to all staff, hosted 5 on-site vaccination clinics in partnership with area pharmacies, conducted 2 virtual presentations for staff in addition to individual outreach and internal communications. Fewer than one-half of the staff were vaccinated prior to the decision to pursue a vaccine COE on February 9, 2021. The decision to pursue a COVID-19 vaccination COE was supported by executive leadership and nursing home staff to protect the health and safety of each other and their residents. By May 1, 2021 a total of 221 of the 246 (89.8%) nursing home staff members received a COVID-19 vaccination. The facility reached 100% compliance with the vaccination COE policy with 18 people who chose to resign and 7 people who were exempt or on a leave of absence. In combination with frequent, personalized outreach, a COVID-19 vaccination COE resulted in high staff vaccination rates and minimal staff turnover. This case study provides a detailed summary of vaccination uptake activities within an organizational context to inform efforts at other healthcare facilities.

Outcomes of post-acute care in skilled nursing facilities in Medicare beneficiaries with and without a diagnosis of dementia.

BACKGROUND: More than 600,000 Medicare beneficiaries with a diagnosis of dementia are discharged to skilled nursing facilities (SNFs) after hospitalization annually. However, it is unclear how their risks and benefits of a SNF stay compare to beneficiaries without a diagnosis of dementia. DESIGN: Retrospective analysis comparing SNF outcomes for Medicare beneficiaries with and without a diagnosis of dementia. SETTING: One hundred percent sample of Medicare beneficiaries from 2015 to 2016. PARTICIPANTS: Dementia was identified using validated diagnosis codes. In beneficiaries who had an acute hospitalization followed by SNF stay, we used propensity score matching to balance demographics, comorbidities, characteristics of the index hospital stay, prior hospital and SNF utilization, and cognitive status on SNF admission. MEASUREMENTS: Outcomes included unplanned hospital readmission, community discharge rate, and mortality during the SNF stay. Multivariate models were adjusted for hospital and SNF characteristics. RESULTS: Our sample included 2,418,853 Medicare beneficiaries discharged from hospital to SNF; 830,524 (34.3%) carried a diagnosis of dementia. Overall, 14.7% of the sample had a hospital readmission, 5.0% died, and 61.5% were successfully discharged to the community. In the propensity-matched cohort, beneficiaries with a diagnosis of dementia had a lower odds ratio of mortality (OR 0.87; 95% confidence interval [CI] 0.86-0.89), similar odds of hospital readmission (OR 0.99; 95% CI 0.98-1.00), and reduced odds of discharge to the community (OR 0.92; 95% CI 0.91-0.93). However, these findings varied by the severity of cognitive impairment on SNF admission: in beneficiaries with no impairment, those with a diagnosis of dementia had higher odds of adverse outcomes. In beneficiaries with severe impairment, beneficiaries with a diagnosis of dementia had lower odds of adverse outcomes. CONCLUSIONS: Cognitive dysfunction on SNF admission is a stronger predictor of outcomes than a diagnosis of dementia, suggesting the need to individualize decisions about the benefits and risks of SNF care in populations with cognitive impairment.

Dear Pandemic: Nurses as key partners in fighting the COVID-19 infodemic.

The COVID-19 pandemic and subsequent proliferation of misinformation have created parallel public health crises. Social media offers a novel platform to amplify evidence-based communication to broader audiences. This paper describes the application of science communication engagement on social media platforms by an interdisciplinary team of female scientists in a campaign called Dear Pandemic. Nurses are trusted professionals trained in therapeutic communication and are central to this effort. The Dear Pandemic campaign now has more than 97,000 followers with international and multilingual impact. Public health strategies to combat misinformation and guide individual behavior via social media show promise, and require further investment to support this novel dissemination of science communication.

Experience and supportive care needs of metastatic lung cancer survivors living with uncertainty: a brief qualitative report.

PURPOSE: Molecularly targeted therapies have revolutionized non-small cell lung cancer (NSCLC) treatment. Many patients with metastatic NSCLC receiving targeted therapy may live several years with incurable cancer. We sought to describe how these metastatic cancer survivors and their caregivers experience uncertainty about the future and identify their unmet supportive care needs. METHODS: We conducted semi-structured interviews with patients with metastatic NSCLC receiving targeted therapy (n = 39) and their caregivers (n = 16). We used a framework approach to code and analyze the qualitative data. RESULTS: Metastatic lung cancer survivors described awareness of their mortality and the possibility that their cancer could progress at any time. Though some found ways to cope, many felt inadequately supported to manage their distress, especially since they were "doing fine medically." Survivors struggled with decisions about working and managing their finances given their uncertain life expectancy and sought trustworthy lung cancer information in plain language. They wished to compare experiences with other patients with their molecular subtype of NSCLC. Participants desired comprehensive cancer care that includes psychosocial support, preparation for the future, and ways to promote their own health, such as through lifestyle changes. CONCLUSIONS: Patients with metastatic NSCLC receiving targeted therapy and their caregivers experience distress related to living with uncertainty and desire more coping support, connection with peers, information, and healthy lifestyle guidance. IMPLICATIONS FOR CANCER SURVIVORS: Patients living with treatable yet incurable cancer and their caregivers are a growing population of cancer survivors. Recognition of their unmet needs may inform the development of tailored support services to help them live well with cancer.

Harnessing Peptide Binding to Capture and Reclaim Phosphate.

With rising consumer demands, society is tapping into wastewater as an innovative source to recycle depleting resources. Novel reclamation technologies have been recently explored for this purpose, including several that optimize natural biological processes for targeted reclamation. However, this emerging field has a noticeable dearth of synthetic material technologies that are programmed to capture, release, and recycle specified targets; and of the novel materials that do exist, synthetic platforms incorporating biologically inspired mechanisms are rare. We present here a prototype of a materials platform utilizing peptide amphiphiles that has been molecularly engineered to sequester, release, and reclaim phosphate through a stimuli-responsive pH trigger, exploiting a protein-inspired binding mechanism that is incorporated directly into the self-assembled material network. This material is able to harvest and controllably release phosphate for multiple cycles of reuse, and it is selective over nitrate and nitrite. We have determined by simulations that the binding conformation of the peptide becomes constrained in the dense micelle corona at high pH such that phosphate is expelled when it otherwise would be preferentially bound. However, at neutral pH, this dense structure conversely employs multichain binding to further stabilize phosphate when it would otherwise be unbound, opening opportunities for higher-order conformational binding design to be engineered into this controllably packed corona. With this work, we are pioneering a new platform to be readily altered to capture other valuable targets, presenting a new class of capture and release materials for recycling resources on the nanoscale.

Combined Force-Frequency Sampling for Simulation of Systems Having Rugged Free Energy Landscapes.

An adaptive, machine learning-based sampling method is presented for simulation of systems having rugged, multidimensional free energy landscapes. The method's main strength resides in its ability to learn both from the frequency of visits to distinct states and the generalized force estimates that arise in a system as it evolves in phase space. This is accomplished by introducing a self-integrating artificial neural network, which generates an estimate of the free energy directly from its derivatives. The usefulness of the proposed combined approach is examined in the context of two concrete examples, namely, an alanine dipeptide molecule in water and a polymer diffusing through a narrow pore. This new method is found to be robust, faster, and more accurate than approaches that rely only on frequency-based or generalized force-based estimations. After combining the proposed approach with overfill protection and support for sparse data storage and training, the method is shown to be more effective than comparable, previously available techniques and capable of scaling efficiently to larger numbers of collective variables.

A Systematic Review of Nursing Home Palliative Care Interventions: Characteristics and Outcomes.

BACKGROUND: Despite recommendations to integrate palliative care into nursing home care, little is known about the most effective ways to meet this goal. OBJECTIVE: To examine the characteristics and effectiveness of nursing home interventions that incorporated multiple palliative care domains (eg, physical aspects of care-symptom management, and ethical aspects-advance care planning). DESIGN: Systematic review. METHODS: We searched MEDLINE via PubMed, Embase, CINAHL, and Cochrane Library's CENTRAL from inception through January 2019. We included all randomized and nonrandomized trials that compared palliative care to usual care and an active comparator. We assessed the type of intervention, outcomes, and the risk of bias. RESULTS: We screened 1167 records for eligibility and included 13 articles. Most interventions focused on staff education and training strategies and on implementing a palliative care team. Many interventions integrated advance care planning initiatives into the intervention. We found that palliative care interventions in nursing homes may enhance palliative care practices, including processes to assess and manage pain and symptoms. However, inconsistent outcomes and high or unclear risk of bias among most studies requires results to be interpreted with caution. CONCLUSIONS AND IMPLICATIONS: Heterogeneity in methodology, findings, and study bias within the existing literature revealed limited evidence for nursing home palliative care interventions. Findings from a small group of diverse clinical trials suggest that interventions enhanced nursing home palliative care and improved symptom assessment and management processes.

Using Machine Learning on Home Health Care Assessments to Predict Fall Risk.

Falls are the leading cause of injuries among older adults, particularly in the more vulnerable home health care (HHC) population. Existing standardized fall risk assessments often require supplemental data collection and tend to have low specificity. We applied a random forest algorithm on readily available HHC data from the mandated Outcomes and Assessment Information Set (OASIS) with over 100 items from 59,006 HHC patients to identify factors that predict and quantify fall risks. Our ultimate goal is to build clinical decision support for fall prevention. Our model achieves higher precision and balanced accuracy than the commonly used multifactorial Missouri Alliance for Home Care fall risk assessment. This is the first known attempt to determine fall risk factors from the extensive OASIS data from a large sample. Our quantitative prediction of fall risks can aid clinical discussions of risk factors and prevention strategies for lowering fall incidence.