Publications

Abstract

Background: The challenge to increase the diversity, inclusivity, and equity of nurse scientists is a critical issue to enhance nursing knowledge development, health care, health equity, and health outcomes in the United States. Purpose: The purpose of this paper is to highlight the current nurse scholars in the Robert Wood Johnson Foundation (RWJF) Harold Amos Medical Faculty Development Program (AMFDP). Discussion: Profiles and the programs of research and scholarship of the current AMFDP nurse scholars are described and discussed. Scholars share lessons learned, and how the AMFDP program has influenced their thinking and commitments to future action in service of nursing science, diversity efforts, legacy leadership, issues of health equity. Conclusion: RWJF has a history of supporting the development of nursing scholars. AMFDP is an example of legacy leadership program that contributes to a culture of health and the development of next-generation nursing science scholars.

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Nurses Improving Care for Healthsystems Elders (NICHE), one of the original geriatric care models, enhances the overall quality and safety of nursing care provided to older adults in hospital and post-acute care settings. NICHE is a relatively low-cost, high-impact investment in the nursing workforce to improve performance on the nurse-sensitive quality indicators including falls, pressure injuries, medication safety, urinary incontinence, restraint reduction, delirium identification and management, reducing preventable readmissions, among others. NICHE also serves as a foundation to enhance nursing care to achieve national accreditation standards for a number of geriatric and nursing quality programs.

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Background: Nurses’ knowledge of heart failure (HF) is highly variable, ranging from expert to poor, potentially leading to inadequate self-care. Objectives: (1) document the knowledge variation of HF assessment and management among specialist and generalist nurses; (2) determine factors that may be associated with nurses’ knowledge; and (3) describe nurses’ views of knowledge deficits and ways to improve nurses’ knowledge to better meet the needs educational interventions. Method: Members of the American Association of Heart Failure Nurses and Registered Nurses were invited to participate in a cross-sectional survey. Independent samples t-test, chi-square, and linear regression were used for quantitative analysis. Text analysis was applied to analyze the themes of qualitative comments. Results: A total of 918 nurses completed the survey. Specialist nurses had higher scores than generalist nurses with statistically significant F-test for diet, fluid, signs/symptoms, medication, and exercise. Both specialist and generalist nurses were least knowledgeable about dry weight, asymptomatic hypotension, and transient dizziness. Being a specialist nurse was associated with higher level of knowledge scores. Years of experience and race were significant factors associated with knowledge scores in generalist nurses. Confidence level and race were significant predictors for specialist nurses. Three themes emerged regarding the cause of nurses’ insufficient knowledge and several approaches were provided. Conclusions: Specialist nurses are not only knowledgeable, but their knowledge levels are less variable compared to generalist nurses. There is a need to identify additional factors that may potentially influence nurses’ knowledge, contributing to the effectiveness of interventions.

Abstract

An expanding body of research indicates that poor nutrition can change the function of the brain and alter individual behavior and mental health status. The brain is the most energy-consuming organ in the human body. Therefore, maintaining and optimizing brain health, mental health, and psychological functioning depend on a constant supply of nutrients. Data demonstrate that inadequate quality or quantity of nutrition is associated with an increased risk of mental health problems. Lifestyle psychiatry is an approach that aims to address underlying causes or contributing factors to poor mental health and/or mental health conditions, including nutrition. This chapter will discuss nutrition as an integral component of lifestyle psychiatry, as well as a key determinant and factor in mental health outcomes and outcomes for those with mental health disorders. A lifestyle psychiatry approach can help to improve patient outcomes, prevent the onset of mental health and brain health conditions, and enhance the management and treatment of mental health problems by promoting healthy dietary patterns, addressing nutritional deficiencies, and incorporation nutrition-related interventions into clinical practice.

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Background: The adoption of palliative care as an integral component of health care has led to the need for generalist level providers, especially important in serious illnesses such as cancer. Objectives: The goals of this National Cancer Institute-funded training program were to (1) identify the eight domains of quality palliative care applied to oncology practice, (2) demonstrate skills for oncology advanced practice registered nurses (APRNs) in the domains of palliative care, and (3) develop goals for implementing the skills training in practice through process improvement, staff education, and clinical care. Design: The training program led by the End of Life Nursing Education Consortium (ELNEC) project included oncology APRNs in a three-day training course with one-year follow-up for ongoing support and to assess impact. Settings: Five training courses included 430 APRNs from 46 U.S states including both pediatric and adult oncology settings. The project included 25% minority participants. Measurement: Measures included participant goal implementation, course evaluations, and surveys to assess implementation and palliative care practices (precourse, 6 and 12 months postcourse). Results: The ELNEC oncology APRN training course resulted in changes in practice across domains, improved perceived effectiveness in clinical practice, and valuable insight regarding the challenges in generalist level palliative care implementation. Conclusion: The ELNEC oncology APRN course serves as a model for the palliative care field to advance generalist level practice. Future training efforts can build on this project to reach more oncology professionals and those in other areas of serious illness care.

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Background: Homebound older adults are medically complex and often have difficulty accessing outpatient medical care. Home-based primary care (HBPC) may improve care and outcomes for this population but data from randomized trials of HBPC in the United States are limited. Methods: We conducted a randomized controlled trial of HBPC versus office-based primary care for adults ages ≥65 years who reported ≥1 hospitalization in the prior 12 months and met the Medicare definition of homebound. HBPC was provided by teams consisting of a physician, nurse practitioner, nurse, and social worker. Data were collected at baseline, 6- and 12-months. Outcomes were quality of life, symptoms, satisfaction with care, hospitalizations, and emergency department (ED) visits. Recruitment was terminated early because more deaths were observed for intervention patients. Results: The study enrolled 229 patients, 65.4% of planned recruitment. The mean age was 82 (9.0) years and 72.3% had dementia. Of those assigned to HBPC, 34.2% never received it. Intervention patients had greater satisfaction with care than controls (2.26, 95% CI 1.46–3.06, p < 0.0001; effect size 0.74) and lower hospitalization rates (−17.9%, 95% CI −31.0% to −1.0%; p = 0.001; number needed to treat 6, 95% CI 3–100). There were no significant differences in quality of life (1.25, 95% CI −0.39–2.89, p = 0.13), symptom burden (−1.92, 95% CI −5.22–1.37, p = 0.25) or ED visits (1.2%, 95% CI −10.5%–12.4%; p = 0.87). There were 24 (21.1%) deaths among intervention patients and 12 (10.7%) among controls (p < 0.0001). Conclusion: HBPC was associated with greater satisfaction with care and lower hospitalization rates but also more deaths compared to office-based primary care. Additional research is needed to understand the nature of the higher death rate for HBPC patients, as well as to determine the effects of HBPC on quality of life and symptom burden given the trial's early termination.

Abstract

There is a clear and growing need to be able record and track the contributions of individual registered nurses (RNs) to patient care and patient care outcomes in the US and also understand the state of the nursing workforce. The National Academies of Sciences, Engineering, and Medicine report, The Future of Nursing 2020–2030: Charting a Path to Achieve Health Equity (2021), identified the need to track nurses’ collective and individual contributions to patient care outcomes. This capability depends upon the adoption of a unique nurse identifier and its implementation within electronic health records. Additionally, there is a need to understand the nature and characteristics of the overall nursing workforce including supply and demand, turnover, attrition, credentialing, and geographic areas of practice. This need for data to support workforce studies and planning is dependent upon comprehensive databases describing the nursing workforce, with unique nurse identification to support linkage across data sources. There are two existing national nurse identifiers– the National Provider Identifier and the National Council of State Boards of Nursing Identifier. This article provides an overview of these two national nurse identifiers; reviews three databases that are not nurse specific to understand lessons learned in the development of those databases; and discusses the ethical, legal, social, diversity, equity, and inclusion implications of a unique nurse identifier.

Abstract

Developmental, behavioral, and mental health (DBMH) conditions among pediatric populations have increased in prevalence in primary care. Approximately 1 in 5 children have mental health conditions, but only 20% receive care. In October 2021, a national emergency in children's mental health was declared. The Pediatric Nursing Certification Board offers a pediatric primary care mental health specialist (PMHS) examination that validates the knowledge, skills, and abilities of certified nurse practitioners caring for children, adolescents, and young adults with DBMH conditions. This review describes the methodology, data analysis, and results of the job task analysis that ensures examination quality measuring preparedness to practice as a certified PMHS.

Abstract

Background: Internal migrants are exposed to higher risks of depressive symptoms due to migration-related stress. It has been recognized that perceived neighborhood social cohesion has direct and indirect associations with depressive symptoms. However, the pathway from perceived social cohesion to internal migrants' depressive symptoms was less discussed. Objectives: To assess mental health disparities among internal migrants. To investigate the association between social cohesion and depressive symptoms among urban-to-urban and rural-to-urban migrants and to examine the mediating role of social adaptation. Methods: Data from the “2017 Urbanization and New Migrant Survey” was used, including 2,584 internal migrants age 18–65 from 10 cities in China. Social cohesion was measured by a six-item modified Community-level Cohesion Scale. Depressive symptoms was measured using the Center for Epidemiological Studies Depression Scale, and social adaptation was assessed by a single-item question of migrants' adaptation to local life. Multivariate linear regression models were used to examine the association between social cohesion and depressive symptoms. Baron and Kenny's mediation tests were conducted to examine the mediating role of social adaptation on the association. All analyses were adjusted using sampling weights to account for this survey's sampling design. Results: Rural-to-urban migrants were found to have more clinically significant depressive symptoms, lower perceived social cohesion, and fair or low social adaptation than urban-to-urban migrants (all p < 0.001). Being rural-to-urban migrants as compared with urban-to-urban migrants [Odds Ratio (OR) = 1.46, 95% Confidence Interval (CI) = 1.456, 1.461, p < 0.001], had lower perceived social cohesion (OR = 1.46, 95% CI = 1.458, 1.463, p < 0.001), and poorer social adaptation (OR = 1.94, 95% CI = 1.932, 1.941, p < 0.001), are associated with higher odds of having clinically significant depressive symptoms. Social adaptation partially mediated the association between social cohesion and depressive symptoms by explaining 15.39% of its effect for urban-to-urban migrants and 18.97% for rural-to-urban migrants. Conclusions: Findings from this study reveal mental health inequalities among internal migrants and demonstrate the importance of social adaption on the association between social cohesion and depressive symptoms. Social strategies and public policies are needed to build a more cohesive community that serves both local residents and internal migrants, especially rural-to-urban migrants.

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Many older adults with diabetes (DM) have co-occurring Alzheimer’s Disease (AD) and AD-Related Dementias (ADRD). Complex treatment plans may impose treatment burden for caregivers responsible for day-to-day self-management. The purpose of this qualitative study was to describe caregiver perceptions of treatment burden for people with DM-AD/ADRD. Caregivers (n = 33) of patients with DM-AD/ADRD participated in semi-structured interviews about their caregiver role and perceptions of treatment burden of DM-AD/ADRD management. Qualitative data were analyzed using content analysis (ATLAS.ti). Caregivers reported high levels of burden related to complex treatment/self-management for patients with DM-AD/ADRD that varied day-to-day with the patient’s cognitive status. Four themes were: (1) trajectory of treatment burden; (2) navigating multiple healthcare providers/systems of care; (3) caregiver role conflict; and (4) emotional burden. Interventions to reduce caregiver treatment burden should include activating supportive services, education, and care coordination especially, if patient treatment increases in complexity over time.

Abstract

Importance: In the US, improving end-of-life care has become increasingly urgent. Some states have enacted legislation intended to facilitate palliative care delivery for seriously ill patients, but it is unknown whether these laws have any measurable consequences for patient outcomes. Objective: To determine whether US state palliative care legislation is associated with place of death from cancer. Design, Setting, and Participants: This cohort study with a difference-in-differences analysis used information about state legislation combined with death certificate data for 50 US states (from January 1, 2005, to December 31, 2017) for all decedents who had any type of cancer listed as the underlying cause of death. Data analysis for this study occurred between September 1, 2021, and August 31, 2022. Exposures: Presence of a nonprescriptive (relating to palliative and end-of-life care without prescribing particular clinician actions) or prescriptive (requiring clinicians to offer patients information about care options) palliative care law in the state-year where death occurred. Main Outcomes and Measures: Multilevel relative risk regression with state modeled as a random effect was used to estimate the likelihood of dying at home or hospice for decedents dying in state-years with a palliative care law compared with decedents dying in state-years without such laws. Results: This study included 7547907 individuals with cancer as the underlying cause of death. Their mean (SD) age was 71 (14) years, and 3609146 were women (47.8%). In terms of race and ethnicity, the majority of decedents were White (85.6%) and non-Hispanic (94.1%). During the study period, 553 state-years (85.1%) had no palliative care law, 60 state-years (9.2%) had a nonprescriptive palliative care law, and 37 state-years (5.7%) had a prescriptive palliative care law. A total of 3780918 individuals (50.1%) died at home or in hospice. Most decedents (70.8%) died in state-years without a palliative care law, while 15.7% died in state-years with a nonprescriptive law and 13.5% died in state-years with a prescriptive law. Compared with state-years without a palliative care law, the likelihood of dying at home or in hospice was 12% higher for decedents in state-years with a nonprescriptive palliative care law (relative risk, 1.12 [95% CI 1.08-1.16]) and 18% higher for decedents in state-years with a prescriptive palliative care law (relative risk, 1.18 [95% CI, 1.11-1.26]). Conclusions and Relevance: In this cohort study of decedents from cancer, state palliative care laws were associated with an increased likelihood of dying at home or in hospice. Passage of state palliative care legislation may be an effective policy intervention to increase the number of seriously ill patients who experience their death in such locations.

Abstract

Objectives: To investigate whether individuals’ poststroke activity engagement is associated with their perceptions of stroke, as well as their perceptions of physical and social environment. Design: Cross-sectional study. Setting: Participants were recruited from eight rehabilitation settings in Beijing, China. Participants: A total of 202 dyads of community dwellers with stroke and their primary caregivers. Main Measures: Activity engagement measured by the Assessment of Life Habits; stroke individuals’ and caregivers’ illness perceptions measured by the Stroke-Specific Illness Perceptions Questionnaire – Revised; and stroke individuals’ perceived social and physical environment measured by the Social Support Survey and abbreviated Neighborhood Environment Walkability Scale. Results: A total of 202 dyads of individuals with stroke and their caregivers participated in the study with mean ages of 61.3 (8.3) and 52.6 (11.6), respectively. On average, stroke individuals scored 7.61 (1.42) on the daily activities subscale, indicating that they completed personal level activities without assistance but with some difficulty. They scored 6.21 (2.21) on the social roles subscale, suggesting that individuals completed societal level activities with assistive devices and with some difficulty. Illness perceptions correlated significantly with personal level activity engagement (change in R-squared = 0.029; p = 0.049), and perceived accessibility and heterogeneity correlated significantly with societal level activity engagement (change in R-squared = 0.025; p = 0.011). Conclusions: Poststroke activity engagement is associated not only with stroke individuals’ performance skills but also with their perceptions of stroke, and how they perceive their physical environment. The findings may assist clinicians’ decision making when developing comprehensive, targeted interventions for improving activity engagement and maximizing recovery after stroke.

Abstract

Posttraumatic stress disorder (PTSD) can have profound physical, psychological, and social consequences. Recently, there has been an increase in research on how lifestyle factors, including exercise, nutrition, stress management (e.g., mindfulness), substance use, sleep, and social connectedness may impact psychological and physical health, as well as social outcomes, in those with PTSD. Although research in some of these areas is still limited, results indicate promise for lifestyle interventions in at least some aspects of PTSD treatment. This chapter will explore the evidence for the relevance of these factors with regard to PTSD and discuss any evidence-based lifestyle interventions indicated for PTSD prevention and management.

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Objective. This study aimed to examine the impact of COVID-19 on hospice Interdisciplinary team (IDT) members’ self-reported stress and identify possible sources of moral distress. Methods. A cross-sectional survey was conducted using Qualtrics to understand the impact of COVID-19 on quality improvement initiative implementation and hospice IDT members’ general and dementia-specific care provision. Directed qualitative content analysis was used to analyze hospice IDT members’ responses from five open-ended survey questions that were indicative of stress and possible moral distress. Results. The final sample consisted of 101 unique respondents and 175 comments analyzed. Three categories related to sources of moral distress based on hospice IDT member survey responses were identified: (1) impact of telehealth, personal protective equipment (PPE), and visit restrictions on relationships; (2) lack of COVID-19-specific skills; and (3) organizational climate. Sources of moral distress were categorized in 40% of all responses analyzed. Significance of results. This study is one of the first to document and confirm evidence of potential stress and moral distress amongst hospice IDT members during COVID-19. It is imperative given the possible negative impact on patient care and clinician well-being, that future research and interventions incorporate mechanisms to support clinicians’ emotional and ethical attunement and support organizations to actively engage in practices that address clinician moral distress resulting from restrictive environments, such as the one necessitated by COVID-19.

Abstract

Background and aims: The American Academy of Pediatrics describes late preterm infants, born at 34 to 36 completed weeks' gestation, as at-risk for rehospitalization and severe morbidity as compared to term infants. While there are prediction models that focus on specific morbidities, there is limited research on risk prediction for early readmission in late preterm infants. The aim of this study is to derive and validate a model to predict 7-day readmission. Methods: This is a population-based retrospective cohort study of liveborn infants in California between January 2007 to December 2011. Birth certificates, maintained by California Vital Statistics, were linked to a hospital discharge, emergency department, and ambulatory surgery records maintained by the California Office of Statewide Health Planning and Development. Random forest and logistic regression were used to identify maternal and infant variables of importance, test for association, and develop and validate a predictive model. The predictive model was evaluated for discrimination and calibration. Results: We restricted the sample to healthy late preterm infants (n = 122,014), of which 4.1% were readmitted to hospital within 7-day after birth discharge. The random forest model with 24 variables had better predictive ability than the 8 variable logistic model with c-statistic of 0.644 (95% confidence interval 0.629, 0.659) in the validation data set and Brier score of 0.0408. The eight predictors of importance length of stay, delivery method, parity, gestational age, birthweight, race/ethnicity, phototherapy at birth hospitalization, and pre-existing or gestational diabetes were used to drive individual risk scores. The risk stratification had the ability to identify an estimated 19% of infants at greatest risk of readmission. Conclusions: Our 7-day readmission predictive model had moderate performance in differentiating at risk late preterm infants. Future studies might benefit from inclusion of more variables and focus on hospital practices that minimize risk.

Abstract

Background: Accurate prediction of risk for chronic diseases like type 2 diabetes (T2D) is challenging due to the complex underlying etiology. Integration of more complex data types from sensors and leveraging technologies for collection of -omics datasets may provide greater insights into the specific risk profile for complex diseases. Methods: We performed a literature review to identify feature selection methods and machine learning models for prediction of weight loss in a previously completed clinical trial (NCT02278939) of a behavioral intervention for weight loss in Filipinos at risk for T2D. Features included demographic and clinical characteristics, dietary factors, physical activity, and transcriptomics. Results: We identified four feature selection methods: Correlation-based Feature Subset Selection (CfsSubsetEval) with BestFirst, Kolmogorov–Smirnov (KS) test with correlation featureselection (CFS), DESeq2, and max-relevance-min-relevance (MRMR) with linear forward search and mutual information (MI) and four machine learning algorithms: support vector machine, decision tree, random forest, and extra trees that are applicable to prediction of weight loss using the specified feature types. Conclusion: More accurate prediction of risk for T2D and other complex conditions may be possible by leveraging complex data types from sensors and -omics datasets. Emerging methods for feature selection and machine learning algorithms make this type of modeling feasible.

Abstract

Background: Type 2 diabetes (T2D) has an immense disease burden, affecting millions of people worldwide and costing billions of dollars in treatment. As T2D is a multifactorial disease with both genetic and nongenetic influences, accurate risk assessments for patients are difficult to perform. Machine learning has served as a useful tool in T2D risk prediction, as it can analyze and detect patterns in large and complex data sets like that of RNA sequencing. However, before machine learning can be implemented, feature selection is a necessary step to reduce the dimensionality in high-dimensional data and optimize modeling results. Different combinations of feature selection methods and machine learning models have been used in studies reporting disease predictions and classifications with high accuracy. Objective: The purpose of this study was to assess the use of feature selection and classification approaches that integrate different data types to predict weight loss for the prevention of T2D. Methods: The data of 56 participants (ie, demographic and clinical factors, dietary scores, step counts, and transcriptomics) were obtained from a previously completed randomized clinical trial adaptation of the Diabetes Prevention Program study. Feature selection methods were used to select for subsets of transcripts to be used in the selected classification approaches: support vector machine, logistic regression, decision trees, random forest, and extremely randomized decision trees (extra-trees). Data types were included in different classification approaches in an additive manner to assess model performance for the prediction of weight loss. Results: Average waist and hip circumference were found to be different between those who exhibited weight loss and those who did not exhibit weight loss (P=.02 and P=.04, respectively). The incorporation of dietary and step count data did not improve modeling performance compared to classifiers that included only demographic and clinical data. Optimal subsets of transcripts identified through feature selection yielded higher prediction accuracy than when all available transcripts were included. After comparison of different feature selection methods and classifiers, DESeq2 as a feature selection method and an extra-trees classifier with and without ensemble learning provided the most optimal results, as defined by differences in training and testing accuracy, cross-validated area under the curve, and other factors. We identified 5 genes in two or more of the feature selection subsets (ie, CDP-diacylglycerol-inositol 3-phosphatidyltransferase [CDIPT], mannose receptor C type 2 [MRC2], PAT1 homolog 2 [PATL2], regulatory factor X-associated ankyrin containing protein [RFXANK], and small ubiquitin like modifier 3 [SUMO3]). Conclusions: Our results suggest that the inclusion of transcriptomic data in classification approaches for prediction has the potential to improve weight loss prediction models. Identification of which individuals are likely to respond to interventions for weight loss may help to prevent incident T2D. Out of the 5 genes identified as optimal predictors, 3 (ie, CDIPT, MRC2, and SUMO3) have been previously shown to be associated with T2D or obesity.

Abstract

(1) Background: The COVID-19 pandemic has exacerbated incidents of burnout among academics in various fields and disciplines. Although burnout has been the subject of extensive research, few studies have focused on nursing faculty. This study aimed to investigate the differences in burnout scores among nursing faculty members in Canada. (2) Method: Using a descriptive cross-sectional design, data were collected via an online survey in summer 2021 using the Maslach Burnout Inventory general survey and analyzed using the Kruskal-Wallis test. (3) Result: Faculty members (n = 645) with full-time employment status, worked more than 45 h, and taught 3–4 courses reported high burnout (score ≥ 3) compared to those teaching 1–2 courses. Although education levels, tenure status or rank, being on a graduate committee, or the percentage of hours dedicated to research and services were considered important personal and contextual factors, they were not associated with burnout. (4) Conclusions: Findings suggest that burnout manifests differently among faculty and at varying degrees. As such, targeted approaches based on individual and workload characteristics should be employed to address burnout and build resilience among faculty to improve retention and sustain the workforce.

Abstract

Purpose: Fear of recurrence (FoR) is a prevalent and difficult experience among cancer patients. Most research has focused on FoR among breast cancer patients, with less attention paid to characterizing levels and correlates of FoR among oral and oropharyngeal cancer survivors. The purpose was to characterize FoR with a measure assessing both global fears and the nature of specific worries as well as evaluate the role of sociodemographic and clinical factors, survivorship care transition practices, lifestyle factors, and depressive symptoms in FoR. Methods: Three hundred eighty-nine oral and oropharyngeal survivors recruited from two cancer registries completed a survey assessing demographics, cancer treatment, symptoms, alcohol and tobacco use, survivorship care practices, depression, and FoR. Results: Forty percent reported elevated global FoR, with similar percentages for death (46%) and health worries (40.3%). Younger, female survivors and survivors experiencing more physical and depressive symptoms reported more global fears and specific fears about the impact of recurrence on roles, health, and identity, and fears about death. Depression accounted for a large percent of the variance. Lower income was associated with more role and identity/sexuality worries, and financial hardship was associated with more role worries. Conclusions: FoR is a relatively common experience for oral and oropharyngeal cancer survivors. Many of its correlates are modifiable factors that could be addressed with multifocal, tailored survivorship care interventions. Implications for Cancer Survivors: Assessing and addressing depressive symptoms, financial concerns, expected physical symptoms in the first several years of survivorship may impact FoR among oral and oropharyngeal cancer survivors.