Publications

Abstract

Objectives: A large gap exists in the development of culturally sensitive interventions to reduce stress related to dementia care among Chinese Americans, one of the fastest growing minority populations in the United States. We developed and pilot tested the feasibility and preliminary efficacy of a peer mentoring program for Chinese American dementia caregivers. Method: A pilot randomized controlled trial was conducted among 38 Chinese American caregivers in New York City. Four outcome variables—caregiving competence, loneliness, caregiver burden, and depressive symptoms—were measured at baseline and 3-month and 9-month follow-ups. The study protocol and preliminary results are available at clinicltrial.gov [NCT04346745]. Results: The feasibility of the intervention was high, as indicated by an acceptable retention rate, fidelity, and positive feedback from caregivers and mentors. Compared with the control group, the intervention group had greater reductions in scores for loneliness at 3-month follow-up and for caregiver burden and depressive symptoms at 9-month follow-up. We did not find significant differences in caregiving competence between the two groups. Conclusion: The results indicated the high feasibility and potential efficacy of empowering existing human resources of experienced caregivers in the same ethnic community to improve the mental health of Chinese caregivers. Further research is needed to test the efficacy in a larger sample of this population.

Abstract

Electronic health record proficiency is critical for health professionals to deliver and document patient care. There is scarce research on this topic within undergraduate nursing student populations. The purpose of this study is to describe the psychometric evaluation of the Digital Literacy, Usability, and Acceptability of Technology Instrument for Healthcare. A cross-sectional pilot study for psychometric evaluation of the instrument was conducted using data collected through an emailed survey. Exploratory factor analysis, inter-item and adjusted item-total correlations, and Cronbach's α calculated subscale reliability. A total of 297 nursing students completed the survey. A seven-factor structure best fit the data: technology use - engagement, technology use - confidence, technology use - history, electronic health record - ease of use, electronic health record - comparability, and electronic health record - burden. Cronbach's α indicated good to very good internal consistency (α =.68 to.89). The instrument effectively measured digital literacy, acceptance, and usability of an electronic health record and may be implemented with good to very good reliability across varied healthcare simulation and training experiences.

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Objective: This epigenomics sub-study embedded within a randomized controlled trial examined whether an evidenced-based behavioral intervention model that decreased stimulant use altered leukocyte DNA methylation (DNAm). Methods: Sexual minority men with HIV who use methamphetamine were randomized to a five-session positive affect intervention (n = 32) or an attention-control condition (n = 21), both delivered during three months of contingency management for stimulant abstinence. All participants exhibited sustained HIV virologic control – an HIV viral load less than 40 copies/mL at baseline and six months post-randomization. The Illumina EPIC BeadChip measured leukocyte methylation of cytosine-phosphate-guanosine (CpG) sites mapping onto five a priori candidate genes of interest (i.e., ADRB2, BDNF, FKBP5, NR3C1, OXTR). Functional DNAm pathways and soluble markers of immune dysfunction were secondary outcomes. Results: Compared to the attention-control condition, the positive affect intervention significantly decreased methylation of CpG sites on genes that regulate β2 adrenergic and oxytocin receptors. There was an inconsistent pattern for the direction of the intervention effects on methylation of CpG sites on genes for glucocorticoid receptors and brain-derived neurotrophic factor. Pathway analyses adjusting for the false discovery rate (padj < 0.05) revealed significant intervention-related alterations in DNAm of Reactome pathways corresponding to neural function as well as dopamine, glutamate, and serotonin release. Positive affect intervention effects on DNAm were accompanied by significant reductions in the self-reported frequency of stimulant use. Conclusions: There is an epigenetic signature of an evidence-based behavioral intervention model that reduced stimulant use, which will guide the identification of biomarkers for treatment responses.

Abstract

Retention in HIV care is a critical precursor to ending the epidemic yet remains suboptimal in the United States. Gaining an understanding of the challenges faced by adolescents and young adults (AYA) living with HIV is essential to improving retention in HIV care. This study explored the barriers and facilitators to retention in care among Black and Hispanic AYA living with HIV. Audio-recorded semi-structured interviews were conducted with 20 AYA living with HIV ages 16–29 years in New York City. Our methods entailed an inductive content analysis to explore key concepts, reconcile codes, and identify a theme, categories, and subcategories. Bronfenbrenner’s socioecological model evolved as an organizing framework around barriers and facilitators to retention in care at the individual, interpersonal, healthcare system, and structural level. Data analysis yielded one overarching theme—the influence of psychosocial factors on retention in HIV care. Psychological struggles, powerlessness, clinic-level characteristics, and socioeconomic struggles were barriers reported by participants. Self-responsibility, social support, patient-friendly healthcare services, and socioeconomic resources emerged as facilitators. Retention in HIV care among AYA living with HIV is a multifaceted and complex phenomenon that involves multiple systems. Strengthening patients, healthcare system, and community partnerships can help address some of the HIV-related health disparities.

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Objective: To qualitatively describe breastfeeding experiences among mothers who used galactagogues to increase their milk supply. Design: One-time, semistructured phone interviews. Setting: US. Participants: Breastfeeding mothers (n = 19) who reported ever consuming foods, beverages, or herbal supplements to increase their milk supply in a cross-sectional online survey were purposefully sampled to participate in this qualitative study. Participants were diverse in terms of race and ethnicity, education, income, infant age (0–18 months), and prior breastfeeding experience (32% first-time breastfeeding). Phenomenon of Interest: Reasons for trying to increase milk supply, sources of information about increasing milk supply, and strategies tried to increase milk supply. Analysis: Interviews were transcribed verbatim and analyzed using reflexive thematic analysis. Results: Participants expressed determination and commitment to breastfeeding but unexpectedly struggled to breastfeed and increase their milk supply. They sought information from multiple sources and used individualized approaches to address milk supply concerns on the basis of recommendations from others, as well as the perceived convenience, cost, palatability, and safety of potential strategies. Conclusions and Implications: Results suggest a need to expand breastfeeding education and support so that lactating parents anticipate common breastfeeding challenges and are aware of evidence-based strategies for increasing their milk supply.

Abstract

Psychedelic-assisted therapy (PAT) involves supported experiences with psychedelic medicines in carefully curated environments. Early evidence suggests possible utility of PAT for addressing psychosocial-spiritual-existential concerns, yet gaps remain in understanding findings related to PAT's role in palliative care. This rapid review aims to synthesize current literature on applications of PAT in the context of palliative care. Through a systematic process, we identified 34 articles published between January 2021 and July 2024. Protocols varied yet included common components of participant screening, preparation, dosing, and integration. Psilocybin was the most commonly studied compound. Results support safety and initial efficacy of PAT for psycho-spiritual-existential outcomes among carefully screened and highly homogonous samples of patients with serious illness (predominantly cancer). Current efforts and challenges around integrating PAT into systems of palliative care were highlighted. Additional work is needed to (1) explore PAT's safety and efficacy within more diverse samples and contexts, (2) train palliative care providers on PAT, (3) determine systems of care delivery best suited for translation of PAT into practice, and (4) begin developing policy solutions to support safe and equitable access to PAT. Because many patients lack access to basic psychosocial-spiritual-existential care, careful consideration is needed around integration of PAT.

Abstract

Purpose: The purpose of this study is to systematically review interventions that address food insecurity for persons with prediabetes or type 2 diabetes using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) framework. Methods: Six databases (OVIDMEDLINE, OVIDEMBASE, OVID APA PsycINFO, Web of Science, Cochrane Central Registry of Controlled Trials, and EBSCO CINAHL Complete) were searched through January 2023. Research team members independently performed screening of abstracts and full texts, data abstraction, and risk assessment. Results: In all, 3,139 unique citations were identified, and 20 studies met inclusion criteria. Interventions included medically tailored meals/groceries (n = 10) or produce prescriptions/vouchers (n = 10). Reach and effectiveness were the highest reported RE-AIM elements. Interventions reached a high-risk population via food banks, community-based outreach, and federally qualified health centers. A majority of participants identified as female, Black, or Hispanic/Latinx and were living below the federal poverty level. Most studies reported at least 1 diabetes outcome (ie, A1C, hypoglycemia, diabetes distress, diabetes self-management). Seventeen studies reported impact on A1C, with the majority reporting a decrease in A1C and 53% (9/17) of studies demonstrating a decrease over time. Self-management improved in 50% (3/6) of studies that evaluated this outcome. Self-efficacy improved in 40% (2/5) of studies, and improvements were seen in depressive symptoms/diabetes distress (4/7 studies) and quality of life (5/5 studies). Seven studies reported statistically significant improvements in food insecurity. Conclusion: Food insecurity has been associated with higher risks and adverse clinical outcomes in adults with diabetes. Implementing interventions that address food insecurity among adults with or at risk for diabetes can enhance food security and clinically important diabetes-related outcomes. Additional research dedicated to the sustainability of interventions is needed.

Abstract

Background: In China, Internet-Based Sharing Nursing Service (IBSNS) is a new mode of nursing service delivery that has been in practice for over five years, which enables nurses to provide care at clients’ home. However, the acceptance and associated factors of IBSNS among caregivers of elderly with chronic diseases who are the major clients of the service were unclear. Aim: To explore the acceptance of IBSNS and its associated factors among Chinese caregivers of elderly patient with chronic diseases based on the modified Technology Acceptance Model (mTAM). Methods: A cross-sectional study was conducted from February 2023 to March 2023. Caregivers of hospitalized elderly with chronic diseases were recruited using convenience sampling method from three hospitals in Beijing, China. Data were obtained from self-reports of participants. Structural equation modeling was used to analyze data. Results: A total of 65.1% of the caregivers had neutral to weakly positive behavioral intention of IBSNS use. The mTAM model was supported with good model fit. Perceived ease of use was positively associated with perceived usefulness. Both perceived usefulness and perceived security were positively associated with attitude, consequently, attitude was associated with behavioral intention. Conclusions: Improving the ease of use, security, and usefulness may be helpful to increase the positive attitude towards IBSNS and behavioral intention of using IBSNS, which provides valuable insights that can help healthcare providers improve the integration of technology in patient care, ultimately leading to better health outcomes and more efficient healthcare systems.

Abstract

School connectedness is the degree to which students experience acceptance, inclusion, and care by school personnel and peers. A sense of belonging incorporates an emotional connection to the community. School connectedness and belonging are protective factors that promote student engagement, accomplishment, and community performance. Despite the rise in students from immigrant families in the United States, belonging and connectedness for youth from diverse cultural and linguistic experiences are understudied. School-based nurses, our term, is inclusive of advanced practice pediatric, family, and psychiatric nurse practitioners, are well-positioned to support school connectedness for youth who may encounter hurdles to health care because of cultural and linguistic differences. We present practice suggestions for language, culture, and inclusion using three health conditions experienced by youth: anxiety, asthma, and obesity. School-based nurses and other school personnel who provide linguistic and culturally appropriate care can support students in feeling connected and included in their school communities.

Abstract

Loneliness and social isolation affect more than 1 in 4 community-dwelling older adults in the United States, who may also require long-term care support. Despite being seen as a solution to the long-term care crisis, most older adults prefer to age in place rather than using skilled nursing facilities. However, in-home care is unsustainable due to a shortage of direct care workers and may exacerbate social isolation by confining older adults to their homes. Adult Day Services (ADS) addresses both issues. ADS provides care to adults with physical, functional, and or cognitive limitations in non-residential, congregate, community-based settings. ADS also provides daily cognitive and physical stimulation, often with medical support, in a social and supported environment, centered around the needs and preferences of participants. Before the COVID-19 pandemic, nearly 5,000 ADS centers were widely available. However, with limited public support, the ADS industry has struggled as demand by the growing number of older adults and families need health and social support. The ADS industry must be recognized for its unique ability to buffer social isolation and loneliness in chronically ill older adults while serving as an effective platform for chronic disease management. This perspective piece highlights the critical role of ADS centers in reducing loneliness and social isolation and promoting healthy equity. We also explore the benefits of ADS, the financial, policy, and societal barriers to utilizing ADS, and the potential solutions to ensure its sustainability and growth.

Abstract

Background: Previous findings related to the association of adverse pregnancy outcomes with anorexia nervosa are mixed. Objective: This study aimed to investigate the association of adverse live-born pregnancy outcomes with anorexia nervosa using adjustment modeling accounting for confounding factors, and a mediation analysis addressing the contribution of underweight prepregnancy body mass index and gestational weight gain to those outcomes. Study Design: The sample included California live-born singletons with births between 2007 and 2021. The administrative data set contained birth certificates linked to hospital discharge records. Anorexia nervosa diagnosis during pregnancy was obtained from International Classification of Diseases codes on hospital discharge records. Adverse pregnancy outcomes examined included gestational diabetes, gestational hypertension, preeclampsia, anemia, antepartum hemorrhage, premature rupture of membranes, premature labor, cesarean delivery, oligohydramnios, placenta previa, chorioamnionitis, placental abruption, severe maternal morbidity, small for gestational age, large for gestational age, low birthweight, and preterm birth (by timing and indication). Risk of each adverse outcome was calculated using Poisson regression models. Unadjusted risk of each adverse outcome was calculated, and then the risks were adjusted for demographic factors. The final adjusted model included demographic factors, anxiety, depression, substance use, and smoking. A mediation analysis was performed to estimate the excess risk of adverse outcomes mediated by underweight prepregnancy body mass index and gestational weight gain below the American College of Obstetricians and Gynecologists recommendation. Results: The sample included 241 pregnant people with a diagnosis of anorexia nervosa and 6,418,236 pregnant people without an eating disorder diagnosis. An anorexia nervosa diagnosis during pregnancy was associated with many adverse pregnancy outcomes in unadjusted models (relative risks ranged from 1.65 [preeclampsia] to 3.56 [antepartum hemorrhage]) in comparison with people without an eating disorder diagnosis. In the final adjusted models, birthing people with an anorexia nervosa diagnosis were more likely to have anemia, preterm labor, oligohydramnios, severe maternal morbidity, a small for gestational age or low-birthweight infant, and preterm birth between 32 and 36 weeks with spontaneous preterm labor (adjusted relative risks ranged from 1.43 to 2.55). Underweight prepregnancy body mass index mediated 7.78% of the excess in preterm births and 18.00% of the excess in small for gestational age infants. Gestational weight gain below the recommendation mediated 38.89% of the excess in preterm births and 40.44% of the excess in low-birthweight infants. Conclusion: Anorexia nervosa diagnosis during pregnancy was associated with a number of clinically important adverse pregnancy outcomes in comparison with people without an eating disorder diagnosis. Adjusting for anxiety, depression, substance use, and smoking during pregnancy decreased this risk. A substantial percentage of the excess risk of adverse outcomes was mediated by an underweight prepregnancy body mass index, and an even larger proportion of excess risk was mediated by gestational weight gain below the recommendation. This information is important for clinicians to consider when caring for patients with anorexia nervosa. Considering and treating anorexia nervosa and comorbid conditions and counseling patients about mediating factors such as preconception weight and gestational weight gain may improve live-born pregnancy outcomes among people with anorexia nervosa.

Abstract

Background While Type 2 Diabetes Mellitus (T2DM) prevalence is increasing among younger individuals, few studies have examined how age at T2DM diagnosis relates to dementia risk in diabetic populations. We aimed to investigate the association between age at T2DM diagnosis and subsequent dementia risk, and to determine whether obesity moderates this relationship. Methods We conducted a prospective cohort study using data from the Health and Retirement Study (2002–2016) matched with its 2003 Diabetes Mail-Out Survey. The study included 1,213 dementia-free adults aged ≥50 with diagnosed T2DM. Primary exposures were age at T2DM diagnosis (categorized as <50, 50–59, 60–69, and ≥70 years) and obesity status (BMI ≥30 kg/m2). The outcome was incident dementia, assessed using the Telephone Interview for Cognitive Status. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs), adjusting for sociodemographic factors, health behaviors, health status, and diabetes medication use. Results Over a median follow-up of 10 (interquartile range, 6–14) years, 216 (17.8%) participants developed dementia. Compared to participants diagnosed with T2DM at age ≥70 years, those diagnosed at younger ages had increased dementia risk: HR 1.70 (95% CI, 1.03–2.80) for 60–69 years, 1.72 (95% CI, 1.06–2.79) for 50–59 years, and 1.90 (95% CI, 1.14–3.18) for <50 years. Obesity significantly moderated this relationship, with obese individuals diagnosed with T2DM before age 50 showing the highest dementia risk (HR 3.05; 95% CI 1.23–7.56) compared to non-obese individuals diagnosed at ≥50 years. Conclusions Younger age at diagnosis of T2DM was significantly associated with a higher risk of dementia, particularly among individuals with obesity. Interventions specifically targeting obesity may be more effective in preventing dementia for adults with a younger onset of T2DM.

Abstract

This report highlights the 2023-2028 American Association of Nurse Practitioners Research Agenda (AANP-RA), which focuses on the research goals of AANP as an organization and is based on its mission and strategic plan. The purpose of the AANP Research Agenda is to outline research priorities that advance the AANP Strategic Plan and concurrently address gaps in nursing science. American Association of Nurse Practitioners supports research studies that are rigorously designed and conducted using quantitative, qualitative, and mixed-methods approaches, as well as implementation science with the potential to positively impact both NP practice and patient health outcomes. The AANP-RA strategy is guided by the PEARL acronym: examining NP Practice, Education, policy Advocacy, Research, and Leadership. A discussion of each area is presented along with suggested topics.

Abstract

INTRODUCTION: Certified nursing assistants (CNAs) constitute the largest segment of the nursing home workforce, with over 50% of the dementia care workforce comprised of racial and ethnic minoritized individuals. Despite their critical role in dementia care, CNAs face significant inequities in terms of salary, treatment, and working conditions. To enhance equity and improve working conditions, valid and reliable measures are essential for nursing homes to assess their current environment, track progress, and refine strategies. This paper synthesizes existing measures and tools that assess equity-related constructs among CNAs. METHODS: We conducted an environmental scan to identify existing measures, tools, and instruments assessing equity-related constructs among CNAs in nursing homes. Our search focused on nine key equity-related constructs: training, job satisfaction, compensation, staffing/workload, burnout, working conditions/environment, role, leadership, and turnover. RESULTS: Our environmental scan resulted in 15 measures, tools, or instruments relevant to CNA equity. These instruments focused on job satisfaction, retention and turnover, job commitment, leadership experiences, and work environment. Sixty percent of these tools lacked reported validity or reliability data. While the remaining 40% demonstrated strong psychometric properties, overall, the methodological rigor of available measures is inconsistent. A critical gap in the existing literature is the absence of tools measuring burnout or workload, among CNAs. DISCUSSION: The identified measures/tools offer potential for evaluating the effectiveness of interventions addressing CNA equity. However, it is imperative to establish the validity and reliability of these instruments across diverse populations, particularly among racial and ethnic minoritized groups, and develop or adapt tools that measure burnout and workload for CNAs. Furthermore, a deeper understanding of the underlying mechanisms driving these inequities through qualitative data is crucial for developing targeted and impactful interventions. Highlights: Measuring equity among CNAs is important to evaluate strategies intended to improve equity. The identified tools enable assessment of how CNAs feel about important constructs that are related to equity. We found no tools that comprehensively measured workload or burnout experienced by CNAs.

Abstract

The purpose of this article was to analyze the concept of "the fighter in the intensive care unit (ICU)"per the scientific literature and the impact this mentality has on care administered in the ICU. A literature review and a concept analysis based on Rodger's evolutionary method were performed to identify surrogate terms, antecedents, attributes, and consequences pertaining to the "fighter"in the ICU. Thirteen articles with a focus on "the fighter"were included in this analysis. There is a strong desire to remain optimistic and maintain high spirits as a coping mechanism in the face of extreme prognostic uncertainty. Themes that emerged from the literature were the need to find inner strength and persist in the face of adversity. The concept of "the fighter in the ICU"can serve as either adaptive or maladaptive coping, depending on the larger clinical picture. Patient experiences in the ICU are fraught with physical and psychological distress. How the patient and family unit cope during this anxiety-provoking time is based on the individual. Maintaining optimism and identifying as a fighter can be healthy ways to adapt to the circumstances. This concept analysis highlights the importance of holistic care and instilling hope particularly as patients may be nearing the end of life.

Abstract

Editor's note: This is the 21st article in a series on clinical research by nurses. The series is designed to be used as a resource for nurses to understand the concepts and principles essential to research. Each column will present the concepts that underpin evidence-based practice - from research design to data interpretation. To see all the articles in the series, go to https://links.lww.com/AJN/A204.

Abstract

Editor's note: This is the 23rd article in a series on clinical research by nurses. The series is designed to be used as a resource for nurses to understand the concepts and principles essential to research. Each column will present the concepts that underpin evidence-based practice-from research design to data interpretation. To see all the articles in the series, go to https://links.lww.com/AJN/A204.

Abstract

Editor's note: This is the 24th article in a series on clinical research by nurses. The series is designed to be used as a resource for nurses to understand the concepts and principles essential to research. Each column will present the concepts that underpin evidence-based practice - from research design to data interpretation. To see all the articles in the series, go to https://links.lww.com/AJN/A204.

Abstract

Oral squamous cell carcinoma (OSCC) is a highly unpredictable disease with devastating mortality rates that have not changed over the past decades, in the face of advancements in treatments and biomarkers, which have improved survival for other cancers. Delays in diagnosis are frequent, leading to more disfiguring treatments and poor outcomes for patients. The clinical challenge lies in identifying those patients at the highest risk of developing OSCC. Oral epithelial dysplasia (OED) is a precursor of OSCC with highly variable behavior across patients. There is no reliable clinical, pathological, histological, or molecular biomarker to determine individual risk in OED patients. Similarly, there are no robust biomarkers to predict treatment outcomes or mortality in OSCC patients. This review aims to highlight advancements in artificial intelligence (AI)-based methods to develop predictive biomarkers of OED transformation to OSCC or predictive biomarkers of OSCC mortality and treatment response. Biomarkers such as S100A7 demonstrate promising appraisal for the risk of malignant transformation of OED. Machine learning-enhanced multiplex immunohistochemistry workflows examine immune cell patterns and organization within the tumor immune microenvironment to generate outcome predictions in immunotherapy. Deep learning (DL) is an AI-based method using an extended neural network or related architecture with multiple “hidden” layers of simulated neurons to combine simple visual features into complex patterns. DL-based digital pathology is currently being developed to assess OED and OSCC outcomes. The integration of machine learning in epigenomics aims to examine the epigenetic modification of diseases and improve our ability to detect, classify, and predict outcomes associated with epigenetic marks. Collectively, these tools showcase promising advancements in discovery and technology, which may provide a potential solution to addressing the current limitations in predicting OED transformation and OSCC behavior, both of which are clinical challenges that must be addressed in order to improve OSCC survival.

Abstract

Oral squamous cell carcinoma (OSCC) biomarker studies rarely employ multi-omic biomarker strategies and pertinent clinicopathologic characteristics to predict mortality. In this study we determine for the first time a combined epigenetic, gene expression, and histology signature that differentiates between patients with different tobacco use history (heavy tobacco use with ≥10 pack years vs. no tobacco use). Using The Cancer Genome Atlas (TCGA) cohort (n = 257) and an internal cohort (n = 40), we identify 3 epigenetic markers (GPR15, GNG12, GDNF) and 13 expression markers (IGHA2, SCG5, RPL3L, NTRK1, CD96, BMP6, TFPI2, EFEMP2, RYR3, DMTN, GPD2, BAALC, and FMO3), which are dysregulated in OSCC patients who were never smokers vs. those who have a ≥ 10 pack year history. While mortality risk prediction based on smoking status and clinicopathologic covariates alone is inaccurate (c-statistic = 0.57), the combined epigenetic/expression and histologic signature has a c-statistic = 0.9409 in predicting 5-year mortality in OSCC patients.

Abstract

INTRODUCTION: Clinical research in Alzheimer's disease (AD) lacks cohort diversity despite being a global health crisis. The Asian Cohort for Alzheimer's Disease (ACAD) was formed to address underrepresentation of Asians in research, and limited understanding of how genetics and non-genetic/lifestyle factors impact this multi-ethnic population. METHODS: The ACAD started fully recruiting in October 2021 with one central coordination site, eight recruitment sites, and two analysis sites. We developed a comprehensive study protocol for outreach and recruitment, an extensive data collection packet, and a centralized data management system, in English, Chinese, Korean, and Vietnamese. RESULTS: ACAD has recruited 606 participants with an additional 900 expressing interest in enrollment since program inception. DISCUSSION: ACAD's traction indicates the feasibility of recruiting Asians for clinical research to enhance understanding of AD risk factors. ACAD will recruit > 5000 participants to identify genetic and non-genetic/lifestyle AD risk factors, establish blood biomarker levels for AD diagnosis, and facilitate clinical trial readiness. HIGHLIGHTS: The Asian Cohort for Alzheimer's Disease (ACAD) promotes awareness of under-investment in clinical research for Asians. We are recruiting Asian Americans and Canadians for novel insights into Alzheimer's disease. We describe culturally appropriate recruitment strategies and data collection protocol. ACAD addresses challenges of recruitment from heterogeneous Asian subcommunities. We aim to implement a successful recruitment program that enrolls across three Asian subcommunities.

Abstract

PURPOSE: Despite the importance of measuring delirium severity in patients with Alzheimer’s disease and related dementias (ADRD), no validated instrument currently exists. Our goal was to generate items for use in such an instrument. METHOD: An interdisciplinary expert panel developed items to assess seven domains and 21 subdomains of delirium severity. Nursing experts provided input on items. RESULTS: Experts achieved consensus on 21 items, including best respondents for each item, and appropriate look-back periods. Nursing experts emphasized the need for educating nursing staff and obtaining information from caregivers. CONCLUSION: Careful, nuanced identification of distinguishing features is key for generating items for measuring delirium severity in persons with ADRD. Once developed, engaging nurses will be essential to facilitate adoption and relevance of the tool.

Abstract

Purpose: Recent studies have demonstrated an increased risk of severe maternal morbidity (SMM) for people living in rural versus urban counties. Studies have not considered rurality at the more nuanced subcounty census-tract level. This study assessed the relationship between census-tract-level rurality and SMM for birthing people in California. Methods: We used linked vital statistics and hospital discharge records for births between 1997 and 2018 in California. SMM was defined by at least 1 of 21 potentially fatal conditions and lifesaving procedures. Rural-Urban Commuting Area codes were used to characterize census tract rurality dichotomously (2-category) and at 4 levels (4-category). Covariates included sociocultural-demographic, pregnancy-related, and neighborhood-level factors. We ran a series of mixed-effects logistic regression models with tract-level clustering, reporting risk ratios and 95% confidence intervals (CIs). We used the STROBE reporting guidelines. Findings: Of 10,091,415 births, 1.1% had SMM. Overall, 94.3% of participants resided in urban/metropolitan and 5.7% in rural tracts (3.9% micropolitan, 0.9% small town, 0.8% rural). In 2-category models, the risk of SMM was 10% higher for birthing people in rural versus urban tracts (95% CI: 6%, 13%). In 4-category models, the risk of SMM was 16% higher in micropolitan versus metropolitan tracts (95% CI: 12%, 21%). Conclusion: The observed rurality and SMM relationship was driven by living in a micropolitan versus metropolitan tract. Increased risk may result from resource access inequities within suburban areas. Our findings demonstrate the importance of considering rurality at a subcounty level to understand locality-related inequities in the risk of SMM.

Abstract

Background: Cognitive decline may be an early indicator of major health issues in older adults, though research using population-based data is lacking. Researchers objective was to assess the relationships between distinct cognitive trajectories and subsequent health outcomes, including health status, depressive symptoms, and mortality, using a nationally representative cohort. Methods: Data were drawn from the National Health and AgingTrends Study. Global cognition was assessed annually between 2011 and 2018. The health status of 4413 people, depressive symptoms in 4342 individuals, and deaths among 5955 living respondents were measured in 2019. Distinct cognitive trajectory groups were identified using an innovative Bayesian group-based trajectory model. Ordinal logistic, Poisson, and logistic regression models were used to examine the associations between cognitive trajectories and subsequent health outcomes. Results: Researchers identified five cognitive trajectory groups with distinct baseline values and subsequent changes in cognitive function. Compared with the group with stably high cognitive function, worse cognitive trajectories (ie, lower baseline values and sharper declines) were associated with higher risks of poor health status, depressive symptoms, and mortality, even after adjusting for relevant covariates. Conclusions: Among older adults, worse cognitive trajectories are strongly associated with subsequent poor health status, high depressive symptoms, and high mortality risks. Regular screening of cognitive function may help to facilitate early identification and interventions for older adults susceptible to adverse health outcomes.