Home Care Clinicians' Perspectives on Advance Care Planning for Patients at Risk for Becoming Incapacitated With No Evident Advance Directives or Surrogates.

Advance care planning is important and timely for patients receiving home health services; however, opportunities to facilitate awareness and engagement in this setting are often missed. This qualitative descriptive study elicited perspectives of home health nurses and social workers regarding barriers and facilitators to creating advance care plans in home health settings, with particular attention to patients with few familial or social contacts who can serve as surrogate decision-makers. We interviewed 15 clinicians employed in a large New York City-based home care agency in 2021-2022. Participants reported a multitude of barriers to supporting patients with advance care planning at the provider level (eg, lack of time and professional education, deferment, discomfort), patient level (lack of knowledge, mistrust, inadequate support, deferment, language barriers), and system level (eg, discontinuity of care, variations in advance care planning documents, legal concerns, lack of institutional protocols and centralized information). Participants noted that greater socialization and connection to existing educational resources regarding the intended purpose, scope, and applicability of advance directives could benefit home care patients.

Worse Depression Profiles Are Associated With Higher Symptom Burden and Poorer Quality of Life in Patients With Gynecologic Cancer.

BACKGROUND: Depression is a pervasive symptom in patients with gynecological cancer undergoing chemotherapy. OBJECTIVES: Purposes were to identify subgroups of patients with distinct depression profiles and evaluate for differences in demographic and clinical characteristics, severity of common symptoms, and quality of life (QOL) outcomes among these subgroups. METHODS: Patients with gynecological cancer (n = 231) completed the Center for Epidemiologic Studies-Depression Scale 6 times over 2 cycles of chemotherapy. All of the other measures were completed prior to the second or third cycle of chemotherapy. Latent profile analysis was done to identify the distinct depression profiles. Differences were evaluated using parametric and nonparametric tests. RESULTS: Three distinct profiles were identified: low (60.1%), high (35.1%), and very high (4.8%). Compared with low class, the other 2 classes had lower functional status and were more likely to self-report a diagnosis of depression. Patients in the 2 worse profiles reported a higher comorbidity burden, higher levels of trait and state anxiety, sleep disturbance, and fatigue, as well as lower levels of cognitive function and poorer QOL. State and trait anxiety, evening fatigue, and sleep disturbance scores exhibit a "dose-response effect" (ie, as the depression profile worsened, the severity of these symptoms increased). CONCLUSIONS: Almost 40% of our sample experienced high or very high levels of depression across 2 cycles of chemotherapy. IMPLICATIONS FOR PRACTICE: Clinicians can use the identified risk factors to identify high patients risk and provide tailored psychological interventions aimed to decrease symptom burden and prevent decrements in QOL.

Barriers, facilitators, and opportunities for Doctor of Nursing Practice engagement in translational research.

BACKGROUND: Little is known about how Doctor of Nursing Practice (DNP) graduates apply translational research competencies in the practice setting. PURPOSE: This qualitative descriptive study aimed to explore the barriers, facilitators, and opportunities for engaging in translational research among DNPs in practice. METHODS: We conducted semi-structured interviews with 11 DNPs working within an 8-hospital health system from November 2020 through July 2021. DISCUSSION: We identified four themes related to barriers (invisibility of the DNP degree and skillset; lack of role clarity and organizational structure for DNPs; lack of time for engagement in translational research; lack of support for engagement in translational research), one theme related to facilitators (encouragement from colleagues and supervisors), and two themes related to opportunities (DNP education promotes recognition of nurse role in translational research; DNPs are interested in role expansion to include translational research). CONCLUSION: DNPs have the interest and training to engage in translational research but face structural barriers to doing so.

Identification of distinct symptom profiles in patients with gynecologic cancers using a pre-specified symptom cluster.

PURPOSE: Pain, fatigue, sleep disturbance, and depression are four of the most common symptoms in patients with gynecologic cancer. The purposes were to identify subgroups of patients with distinct co-occurring pain, fatigue, sleep disturbance, and depression profiles (i.e., pre-specified symptom cluster) in a sample of patients with gynecologic cancer receiving chemotherapy and assess for differences in demographic and clinical characteristics, as well as the severity of other common symptoms and QOL outcomes among these subgroups. METHODS: Patients completed symptom questionnaires prior to their second or third cycle of chemotherapy. Latent profile analysis was used to identify subgroups of patients using the pre-specified symptom cluster. Parametric and nonparametric tests were used to evaluate for differences between the subgroups. RESULTS: In the sample of 233 patients, two distinct latent classes were identified (i.e., low (64.8%) and high (35.2%)) indicating lower and higher levels of symptom burden. Patients in high class were younger, had child care responsibilities, were unemployed, and had a lower annual income. In addition, these women had a higher body mass index, a higher comorbidity burden, and a lower functional status. Patients in the high class reported higher levels of anxiety, as well as lower levels of energy and cognitive function and poorer quality of life scores. CONCLUSIONS: This study identified a number of modifiable and non-modifiable risk factors associated with membership in the high class. Clinicians can use this information to refer patients to dieticians and physical therapists for tailored interventions.

Cancer-Specific health equity metrics in the United States of America: A scoping review.

Health disparities in cancer care persist, and in some cases are growing, despite decades of research aimed at achieving equal outcomes for all Americans. There is growing consensus that reducing disparities will require a shift from aiming to provide care that is equal, to aiming to provide care that is equitable. The current landscape of metrics and interventions that move beyond equality (i.e., care provided equally to all patients) and towards equity (i.e., care provided variably and justly such that patients achieve equal outcomes) have not been characterized. Thus, the aim of this scoping literature review was to identify cancer-specific health equity metrics and interventions, and to explore current gaps in the field. Following PRISMA guidelines, PubMed, CINAHL, PsycInfo, and Scopus were searched for studies published in English between 2012 and 2022 that implemented a metric to identify or an intervention to address cancer care inequities in the United States. The search returned 36,724 unique articles, of which 40 articles (1%) included an intervention to advance health equity. Metrics included timeliness of screening and treatment, receipt of goal-concordant care, and survival. The vast majority of articles were cross-sectional or cohort studies that described health disparities using one or more outcome metrics. Gaps identified included research on receipt of guideline-concordant care, interventions addressing multiple levels of structural and social determinants of health, inclusion of children and families, and patient-reported outcomes or other sources of data that could help inform interventions to advance equity.

Factors Associated With Burnout Among Nurses Providing Direct Patient Care During the COVID-19 Pandemic.

OBJECTIVE: This study aimed to identify factors associated with burnout in nurses and nurses' opinions regarding interventions to promote well-being during crisis conditions such as those experienced during the COVID-19 pandemic. BACKGROUND: Burnout among nurses is prevalent under usual conditions and may increase during crises such as COVID-19. METHODS: Researchers conducted a survey of 1103 frontline nurses in a single New York City hospital during the first (spring 2020) and second (fall 2020/winter 2021) local waves of COVID-19. RESULTS: Burnout prevalence increased from 45% to 52% between the first and second wave. Younger age, female gender, posttraumatic stress, anxiety or depressive symptoms, history of burnout, feeling less valued by hospital leadership, less informed of responsibilities, less certain about duration of enhanced workload, and prepared by prepandemic experience were predictive of burnout in multivariable analyses. CONCLUSIONS: Although some identified risk factors for burnout were nonmodifiable, others may be modifiable by hospital leadership.

Immune-Related Adverse Events Among COVID-19-Vaccinated Patients With Cancer Receiving Immune Checkpoint Blockade.

BACKGROUND: Whether COVID-19 vaccination and the associated immune response increases susceptibility to immune-related adverse events (irAEs) among patients treated with immune checkpoint inhibition (ICI) remains unknown. Short-term follow-up can assess the safety of concurrent administration of the vaccine and ICI treatment. METHODS: We conducted an electronic health record analysis of a cohort of 408 patients with cancer receiving ICI therapy and who were vaccinated for COVID-19 between January 16 and March 27, 2021. Patients were seen in follow-up for 90 days from the day of the first dose in this single-institution tertiary care center. We evaluated the incidence of irAEs and the frequency of each event type and grade among patients who experienced an irAE. We also evaluated the incidence of irAEs in patients who began a new immunotherapy agent after vaccination. RESULTS: Among 408 patients with cancer receiving ICI therapy (median age, 71 years; 217 [53%] male), administration of a COVID-19 mRNA vaccine within 90 days of ICI treatment was not associated with an increased incidence of irAEs. A total of 27 (7%) patients experienced a new irAE within the observation period. Among patients with previous irAEs from ICIs (n=54), 3 (6%) experienced a recurrent irAE, and of those initiating a new immunotherapy (n=52), 9 (17%) experienced an irAE. No excess risk of COVID-19 diagnosis was seen in this subset of patients receiving ICI therapy, and no breakthrough COVID-19 cases were seen after full COVID-19 vaccination. CONCLUSIONS: These findings should reassure providers that COVID-19 vaccination during ICI therapy is safe and efficacious.

Improved 30-Day Heart Failure Readmissions Following Implementation of an Advanced Cardiovascular Education (ACE) Academy.

BACKGROUND: Heart failure readmissions are common, though some are preventable through evidence-based management. LOCAL PROBLEM: Despite outperforming national benchmarks for 30-day readmissions, compliance with an evidence-based institutional heart failure management pathway was inconsistent. The purpose of this project was to reduce 30-day heart failure readmission rates through an educational intervention and an electronic health record (EHR) redesign. METHODS: The cardiac services nursing leadership team conducted an education and documentation needs assessment to identify knowledge gaps and practical barriers to effective utilization of evidence-based interventions for heart failure management. INTERVENTIONS: This intervention included an Advanced Cardiovascular Education (ACE) Academy and an EHR workflow redesign for clinical and supportive nursing staff. RESULTS: The 30-day heart failure readmission rates reduced immediately following the intervention, and rates continued to decrease over a 3-year follow-up. CONCLUSIONS: Even among hospitals outperforming national benchmarks, 30-day heart failure readmissions can be reduced and sustained with enhanced education and EHR redesign.

Using natural language processing to identify acute care patients who lack advance directives, decisional capacity, and surrogate decision makers.

The prevalence of patients who are Incapacitated with No Evident Advance Directives or Surrogates (INEADS) remains unknown because such data are not routinely captured in structured electronic health records. This study sought to develop and validate a natural language processing (NLP) algorithm to identify information related to being INEADS from clinical notes. We used a publicly available dataset of critical care patients from 2001 through 2012 at a United States academic medical center, which contained 418,393 relevant clinical notes for 23,904 adult admissions. We developed 17 subcategories indicating reduced or elevated potential for being INEADS, and created a vocabulary of terms and expressions within each. We used an NLP application to create a language model and expand these vocabularies. The NLP algorithm was validated against gold standard manual review of 300 notes and showed good performance overall (F-score = 0.83). More than 80% of admissions had notes containing information in at least one subcategory. Thirty percent (n = 7,134) contained at least one of five social subcategories indicating elevated potential for being INEADS, and <1% (n = 81) contained at least four, which we classified as high likelihood of being INEADS. Among these, n = 8 admissions had no subcategory indicating reduced likelihood of being INEADS, and appeared to meet the definition of INEADS following manual review. Among the remaining n = 73 who had at least one subcategory indicating reduced likelihood of being INEADS, manual review of a 10% sample showed that most did not appear to be INEADS. Compared with the full cohort, the high likelihood group was significantly more likely to die during hospitalization and within four years, to have Medicaid, to have an emergency admission, and to be male. This investigation demonstrates potential for NLP to identify INEADS patients, and may inform interventions to enhance advance care planning for patients who lack social support.

Readmission Rates in Stroke Patients with and without Infections: Incidence and Risk Factors.

BACKGROUND: Stroke patients are at increased risk for acquiring infections in the hospital and risk of readmission. We aimed to examine whether an infection acquired during the initial stroke admission contributes to increased risk of readmission and infection during readmission. METHODS: We performed a retrospective cohort study incorporating all adult ischemic stroke patients from three New York City hospitals from 2006 to 2016. A validated computer algorithm defined infections based on electronically-available laboratory culture data. Multivariable logistic regression was used to evaluate the crude and adjusted association of infections present on admission (IPOA) and healthcare-associated infections (HAI) with 60-day readmissions, and infection during readmission. RESULTS: Among the 10,436 stroke patients, 17% had infections during initial admission of which 52% were IPOA and 48% were HAI. The risk of readmission was significantly higher for those with HAIs (OR = 1.40; 95% CI: 1.20-1.64) and IPOA (OR = 1.26; 95% CI: 1.09-1.47). The presence of infection during the 60-day readmission was also independently predicted by HAI (OR = 3.27; 95% CI: 2.60-4.12) and IPOA (OR = 2.54; 95% CI: 2.01-3.22). Patients with a Gram-negative infection were not at higher odds for readmission compared to patients with a Gram-positive infection (OR 1.07, 95%CI 0.81-1.42). CONCLUSION: Among stroke patients, HAI and IPOA were predictors of readmission within 60 days and infection during readmission.

Predicting healthcare-associated infections, length of stay, and mortality with the nursing intensity of care index.

OBJECTIVES: The objectives of this study were (1) to develop and validate a simulation model to estimate daily probabilities of healthcare-associated infections (HAIs), length of stay (LOS), and mortality using time varying patient- and unit-level factors including staffing adequacy and (2) to examine whether HAI incidence varies with staffing adequacy. SETTING: The study was conducted at 2 tertiary- and quaternary-care hospitals, a pediatric acute care hospital, and a community hospital within a single New York City healthcare network. PATIENTS: All patients discharged from 2012 through 2016 (N = 562,435). METHODS: We developed a non-Markovian simulation to estimate daily conditional probabilities of bloodstream, urinary tract, surgical site, and Clostridioides difficile infection, pneumonia, length of stay, and mortality. Staffing adequacy was modeled based on total nurse staffing (care supply) and the Nursing Intensity of Care Index (care demand). We compared model performance with logistic regression, and we generated case studies to illustrate daily changes in infection risk. We also described infection incidence by unit-level staffing and patient care demand on the day of infection. RESULTS: Most model estimates fell within 95% confidence intervals of actual outcomes. The predictive power of the simulation model exceeded that of logistic regression (area under the curve [AUC], 0.852 and 0.816, respectively). HAI incidence was greatest when staffing was lowest and nursing care intensity was highest. CONCLUSIONS: This model has potential clinical utility for identifying modifiable conditions in real time, such as low staffing coupled with high care demand.

Variable duration of viral shedding in cancer patients with coronavirus disease 2019 (COVID-19).

In this retrospective study of 105 severe acute respiratory coronavirus virus 2 (SARS-CoV-2)-infected cancer patients with longitudinal nasopharyngeal sampling, the duration of viral shedding and time to attain cycle threshold >30 was longer in patients with hematologic malignancy than in those with solid tumors. These findings have important public health implications.

Willing But Not Quite Ready: Nurses' Knowledge, Attitudes, and Practices of Research in an Academic Healthcare System.

OBJECTIVE: To describe nurses' research knowledge, attitudes, and practices within an academic hospital system. BACKGROUND: Hospitals are investing in research resources to meet Magnet® goals and advance the science of nursing, but nurses' specific needs for support are not well characterized and may vary by setting. METHODS: We conducted an anonymous online survey of RNs at an academic hospital system in 2019-2020 using the validated Nurses' Knowledge, Attitudes, and Practices of Research Survey. RESULTS: Respondents (N = 99) indicated high willingness to engage in research-related tasks but low or moderate knowledge of and ability to perform them. Knowledge, attitudes, and practices of research increased with level of education, although gaps between willingness to engage versus knowledge and ability persisted even among doctorally prepared nurses. CONCLUSIONS: Research support for clinical nurses should leverage enthusiasm for research and focus on developing and applying specific practical skills, even among nurses with advanced degrees.

Loneliness and symptom burden in oncology patients during the COVID-19 pandemic.

BACKGROUND: Loneliness and social isolation are significant public health problems that are being exacerbated during the coronavirus disease 2019 pandemic. Little is known about the associations between loneliness and symptom burden in oncology patients before and during the pandemic. Study purposes include determining the prevalence of loneliness in a sample of oncology patients; evaluating for differences in demographic, clinical, and symptom characteristics between lonely and nonlonely patients; and determining which demographic, clinical, and symptom characteristics were associated with membership in the lonely group. METHODS: A convenience sample (n = 606) completed online surveys that evaluated the severity of loneliness, social isolation, and common symptoms (ie, anxiety, depression, fatigue, sleep disturbance, cognitive dysfunction, and pain) in oncology patients. Parametric and nonparametric tests were used to evaluate for differences in scores between the lonely and nonlonely groups. Logistic regression analysis was used to determine risk factors for membership in the loneliness group. RESULTS: Of the 606 patients, 53.0% were categorized in the lonely group. The lonely group reported higher levels of social isolation, as well as higher symptom severity scores for all of the symptoms evaluated. In the multivariate model, being unmarried, having higher levels of social isolation, as well as higher levels of anxiety and depressive symptoms were associated with membership in the lonely group. CONCLUSIONS: Study findings suggest that a significant number of oncology patients are experiencing loneliness, most likely as a result of mandate social distancing and isolation procedures. The symptom burden of these patients is extremely high and warrants clinical evaluation and interventions.

The Oncology Nursing Society Rapid Review and Research Priorities for Cancer Care in the Context of COVID-19.

OBJECTIVES: To identify research priorities addressing COVID-19 that build on the 2019-2022 Oncology Nursing Society (ONS) Research Agenda, in alignment with ONS's mission to promote excellence in oncology nursing and quality cancer care. METHODS & VARIABLES: Priority areas were identified using a multistep approach combining rapid review of the literature; consultation with experts/stakeholders; and review of priorities from other funding agencies, public health, and cancer-focused organizations. RESULTS: The rapid research response team identified five priority areas for research related to COVID-19. IMPLICATIONS FOR NURSING: Oncology nurses are well positioned to address the research priorities and cross-cutting themes identified through this review. The use of innovative methodologic approaches and attention to disparities are necessary to advance cancer care related to COVID-19.

Oncology patients' perceptions of and experiences with COVID-19.

PURPOSE: No information is available on cancer patients' knowledge of and experiences with COVID-19. We undertook an evaluation of differences in COVID-19 symptom occurrence rates, COVID-19 testing rates, clinical care activities, knowledge of COVID-19, and use of mitigation procedures between patients who were and were not receiving active cancer treatment. METHODS: Patients enrolled were > 18 years of age; had a diagnosis of cancer; and were able to complete the emailed study survey online. RESULTS: Of the 174 patients who participated, 27.6% (n = 48) were receiving active treatment, 13.6% were unemployed because of COVID-19, 12.2% had been tested for COVID-19, and 0.6% had been hospitalized for COVID-19. Patients who were not on active treatment reported a higher mean number of COVID-19 symptoms (3.1 (± 4.2) versus 1.9 (± 2.6)), and patients who reported a higher number of COVID-19 symptoms were more likely to be tested. Over 55% of the patients were confident that their primary care provider could diagnose COVID-19, and the majority of the patients had high levels of adherence with the use of precautionary measures (e.g., social distancing, use of face coverings). CONCLUSION: The high level of COVID-19 symptoms and the significant overlap of COVID-19 and cancer-related symptoms pose challenges for clinicians who are assessing and triaging oncology patients for COVID-19 testing. For patients on active treatment, clinicians face challenges with how to assess and manage symptoms that, prior to COVID-19, would be ascribed to acute toxicities associated with cancer treatments or persistent symptoms in cancer survivors.

Infusion Site Reactions: Classification in the Setting of Fosaprepitant Administration With Chemotherapy.

BACKGROUND: Studies report a wide range of incidence and severity of infusion site adverse events (ISAEs) following fosaprepitant administration. OBJECTIVES: The purposes of this study were (a) to determine the incidence of suspected extravasation in patients with cancer receiving fosaprepitant infusions with chemotherapy and (b) to determine whether the documented signs, symptoms, and management strategies aligned with the diagnostic criteria for extravasation versus non-extravasation ISAEs. METHODS: Electronic health records were used to identify patients who received fosaprepitant infusion with chemotherapy and had documentation for suspected extravasation. Chart reviews were conducted for a sample of patients to determine whether documentation was consistent with extravasation. FINDINGS: About 3% (n = 460 of 15,667) of patients who received fosaprepitant had documentation for suspected extravasation. Among a random sample of patients (N = 110) with suspected extravasation, 6% (n = 6) had documentation consistent with extravasation.

The Association Between the Frequency of Interruptions in Antibiotic Exposure and the Risk of Health Care-Associated Clostridiodes difficile Infection.

BACKGROUND: Although antibiotic use is an established risk factor for health care-associated Clostridiodes difficile infection, estimates of the association between infection and antibiotic use vary, depending upon how antibiotic exposure is measured. OBJECTIVES: The purpose of this study was to explore the association between the frequency of interruptions in antibiotic exposure and the risk of health care-associated C difficile infection. METHODS: A retrospective chart review cohort study was conducted of all inpatients between 2011and 2016 from a single academic health center who received at least 1 dose of a systemic antibacterial for a cumulative duration of >3 days and ≤30 days. The measures of antibiotic exposure examined were duration-cumulative total calendar days of antibiotics therapy-and continuity-the frequency of interruptions in antibiotic exposure that was defined as the number of antibiotic treatment courses. RESULTS: A total of 52,445/227,967 (23%) patients received antibacterial therapy for >3 days and ≤30 days during their hospitalization. Of these, 1161 out of 52,445 (2.21%) were patients with health care-associated C difficile infection. An adjusted multivariable logistic regression analysis revealed that the risk of C difficile increased with longer cumulative days (odds ratio = 2.7; comparison of >12 days to ≤5 days) and fewer interruptions of antibiotic treatment (odds ratio = 0.78; comparison of >3 discrete antibiotic treatment courses to 1 course or continuous antibiotic treatment course; all P values < 0.05). CONCLUSIONS: For patients who received the same number of cumulative days of therapy, the patients who had more frequently interrupted courses of antibiotic therapy were less likely to experience health care-associated C difficile infection. (Curr Ther Res Clin Exp. 2020; 81:XXX-XXX).