Clinical Nursing Research最新文献

The underrepresentation of non-Hispanic Black adults in clinical research impacts the generalizability and usefulness of research findings. The purpose of this article is to discuss recruitment strategies used in a research study examining the self-care of diabetes and diabetes distress in non-Hispanic Black adults with type 2 diabetes. In this cross-sectional correlation study, the participants were non-Hispanic Black adults with type 2 diabetes living in North Carolina. A questionnaire collected sociodemographic and clinical characteristics. This study was analyzed using descriptive statistics. In total, 512 individuals accessed the online survey. After data screening, 275 participants were used for data analysis. Sixteen recruitment sites provided letters of support, and 13 were active in the recruitment process. Most participants learned about the research study via social media. Social connections resulting in recruitment partners and using social media supported the successful recruitment. The recruitment strategies implemented can inform researchers of effective evidence-based recruitment strategies to increase the participation of non-Hispanic Black adults in clinical research.

Low health literacy (LHL) significantly impacts patients' ability to participate actively in their healthcare. Registered nurses (RNs) play a crucial role in identifying LHL and addressing patient knowledge gaps and skill deficits. This correlational study examined the relationship between RNs' predictions of patients' health literacy levels (HLL) and the actual HLL of a predominately Hispanic patient population. In addition, personal factors (i.e., demographics) were analyzed to determine their influence on the nurse's predictions and patients' HLL. Data were collected from 84 participant patient-nurse couplets admitted to a medical-surgical unit in a rural setting located on the United States-Mexico border. In addition to demographic information collected via survey, RNs were asked to predict their patient's health literacy abilities while the Newest Vital Sign, a health literacy assessment tool, was deployed to determine the actual HLL of patients participating in the study. Data were analyzed using descriptive statistics, t-tests, and chi-square tests while a Spearman correlational model was used to examine the relationship between predicted HLL and actual HLL. Finally, a logistic regression model was used to analyze the relationship between personal factors and HL data for RNs and patients. Analysis of the data revealed that RNs consistently overestimated patients' abilities, as evidenced by the disparity between patients' actual HLL (mean 1.71) and predicted HLL (mean 4.26) by RNs, with a moderately strong positive relationship (r_s = .418). Notably, higher academic preparation and years of experience did not enhance the RNs' ability to identify LHL while the highest level of education completed was the only statistically significant predictor of adequate health literacy in the patient population sampled. These findings emphasize the need to prioritize effective health literacy education in RN academic preparation and clinical practice to support the detection of LHL when a standardized health literacy assessment tool is not utilized in the clinical setting. By recognizing the presence of LHL, healthcare professionals can better support patients' needs and bridge the knowledge gap, ultimately improving patient outcomes.

The Strong Black Woman (SBW) schema is described as a statue of unrelenting strength, resilience, and self-sufficiency, serving as a shield of protection and cultural adaptation to suppress and control manifestations of racial and gender oppression. Stemming from superwoman syndrome, a conceptual model exploring the multifactorial roles women hold and their impact, the SBW extends beyond gender roles to the sociopolitical context of the Black woman's lived experience. Endorsement of the SBW posits risk for health disparities including stress, anxiety, depression, and obesity. This review was conducted to explore the SBW schema and experiences of Black women who endorse it, to delineate how Black women describe themselves in relation to the SBW persona, and to inform further inquiry, nursing practice, and clinical approaches to improving health outcomes of this population. A systematic review of qualitative studies was conducted with a literature search from CINAHL, APA PsycINFO, MEDLINE, PubMed, and SocINDEX databases yielding seven relevant papers for this analysis. Studies using the superwoman schema and the SBW schema with participants who identified as Black women were included in the review. Consistent with the SBW phenomenon, many participants described examples and consequences of being an SBW. While most women identified with SBW, not all endorsed the persona entirely, challenging its ideal and reinforcing positive self-care. Themes include (a) Strength by nature, not choice, (b) Suppressed emotion, (c) Success over everything, and (d) Prioritizing others over self. Additional emerging themes are also included. Black women increasingly recognize the negative impacts of the SBW schema, pinpointing how their internal feelings manifest in their external world. The conceptual framework itself is an anomaly, incongruently impacting both the mental and physical health of Black women, further contributing to the long-term health and sociopolitical disparities that Black women experience. Simply acknowledging and understanding these experiences by healthcare practitioners are not enough to prevent or eliminate the risks involved with the endorsement of the SBW schema but rather intentionally addressing these as a contributing social determinant of health that predisposes them to long-term chronic conditions.

Healthcare providers working with forcefully displaced populations often have limited knowledge and skills regarding the care of this population. The reasons are twofold. First, most of the research on refugee health does not consider refugees' adaptive skills, diversity of experiences, and daily life context. Second, healthcare providers' knowledge of how the sociopolitical environment shapes health research and practice in the context of refugee care is often limited. This work aims to specify gaps in refugee healthcare and research by applying a relational approach to three theoretical frameworks. The relational approach supports a pragmatic, in-depth understanding of healthcare practices by shifting the focus of the inquiry from description of social structures toward exploration of processes and relations that propagate and sustain such structures. The focus is on the threefold interaction between refugees, healthcare providers, and healthcare institutions. The three theoretical frameworks are as follows: First, using concepts from the Theory of Practice by Bourdieu, we examine how gaps in care can result from a mismatch between the dispositions and skills that refugees develop through life experience and the cultural-professional practices of healthcare providers in host countries. Second, the Cultural Determinants of Help Seeking by Saint Arnault is applied to posit that gaps in care can result from differences in the meanings that healthcare providers and refugees assign to their interactions. Finally, we use the concept of Othering as described in nursing by Canales to explain how power dynamics inherent in the interaction between refugees and healthcare systems can affect refugee healthcare and research. This relational approach helps to elucidate some of the culture-bound mechanisms of health maintenance and help-seeking and brings attention to the sociopolitical context that shapes the way we care to refugees.

Aging is a challenging process for people with gender nonconformity. Indeed, the older transgender population faces several disparities in accessing and using health care and social support services. Furthermore, the clinical management of gender transition in later life is empirical since clear research evidence is lacking. This paper aimed to present the problems encountered by older transgender adults in their access to social support and health care and to propose insightful solutions to address them both from a social and medical/nursing perspective. Trans elders face profound disparities in health and social care due to factors associated with limited accessibility to health services, social restrictions, administrative failures, and physical vulnerabilities. The medical treatment of older transgender adults also needs a careful approach to achieve satisfying gender affirmation without clinically significant risks. The potential induction of hormone-sensitive malignancies and the provocation of major adverse vascular events are the main concerns. Gender transition in older adults without a prior history of following gender-affirming therapy is challenging due to biological factors related to advanced age. Caring for elderly trans people unfolds at multiple levels. International organizations and governmental bodies should address the underprivileged status of elderly transgender people by creating and implementing inclusive policies. Safe and respectful clinical and residential environments and the formation of clearer medical guidelines could meet the unique needs of older trans adults. Care providers must advocate for their patients and be equipped to provide safe and effective services.

Individuals with disabilities are a growing yet understudied population. Nurses are in a prime position to address social determinants of health (SDOH), which is defined as the conditions in which people work, live, and learn that affect health. SDOH are largely responsible for the health inequities seen among individuals with disabilities. The purpose of this study was to explore the relationships between state-level poverty rates and state-level social determinants, such as housing, education, employment, health, and health care for adults with disabilities using geospatial, state-level data. This secondary data analysis used national data from the 2021 American Community Survey. Data on state poverty rates and rates of particular social determinants were used to examine differences between high- and low-poverty states for adults with disabilities. Rates, rather than numbers of adults with disabilities in poverty, were used to control for state size. The median poverty rate (27.8%) for adults with disabilities was used to create a dichotomous variable for low-poverty (n = 26) and high-poverty (n = 25) states. Independent samples t-tests were used to compare geospatial and SDOH data to understand differences between high- and low-poverty states. More adults with disabilities, regardless of race, live in high-poverty states, particularly those with ambulatory and cognitive disabilities. Adults with disabilities residing in low-poverty states have higher employment rates and more private insurance coverage. More adults with disabilities in high-poverty states smoke, live in mobile homes, and are less educated. Using an SDOH lens in caring for individuals with disabilities helps nurses better understand how economic stability, education, health, health care access, the built environment, and the community, rather than individual factors, impact the health of adults with disabilities. To improve the health of disabled persons, nurses must have a greater awareness of the influence that social determinants have on health for individuals with disabilities. Nurse training programs must build disability cultural competence into nursing curricula. Universal screening for SDOH, particularly for individuals with disabilities residing in high-poverty states, is pivotal for the best chance of improving the health and well-being of individuals with disabilities.

We explored the influence of social determinants of health (SDH) risk on stress and coping style in heart failure (HF) caregivers. In this cross-sectional study, data from 250 caregivers were analyzed. Multivariable linear regression analyses were performed to determine the extent to which SDH risk (measured using a modified PRAPARE tool (National Association of Community Health Centers), range 0-22) predicted stress (Perceived Stress Scale, 0-56) and coping style (active (0-45), avoidance (0-30), and minimization (0-30)) while accounting for caregiver burden (HF Caregiver Questionnaire (HF-CQ) 0-100). Multivariable regression analysis with backwards elimination variable selection approach was used to identify which SDH risk factors best predicted coping styles. SDH risk was significantly associated with avoidance and minimization coping styles. Each unit increase in SDH risk was associated with an increase of 0.6 ± 0.2 units (p = .0008) in avoidance and 0.7 ± 0.2 units (p < .0001) in minimization coping style. Race and "supporting others" significantly predicted avoidance coping style; scores were 3.3 ± 0.8 units greater for caregivers who were not White (p < .0001) and 1.4 ± 0.5 units greater (p < .01) for each additional person whom they supported. Race significantly predicted minimization coping style; scores were 4.4 ± 0.7 units greater for caregivers who were not White (p < .0001). Caregivers with higher SDH risk may avoid and minimize to cope with caregiving challenges.

Several individual social determinants of health have been identified as significant factors contributing to achieving glycemic targets (glycated hemoglobin < 7). However, it remains unclear how these social variables individually or collectively contribute to glycemic targets among adults with type 2 diabetes (T2D) in the United States (U.S.) The purpose of the current integrative review (IR) was to describe and synthesize findings from studies on social determinants of glycemic target achievement in adults with T2D in the U.S. and integrate them into the United States Department of Health and Human Services Conceptual Framework. The databases searched included PubMed, CINAHL Plus with Full Text, Medline with Full Text [EBSCO], Google Scholar, bibliography, and hand searching. A total of 948 records were identified. After excluding duplicates and irrelevant studies based on inclusion and exclusion criteria through title, abstract, and full-text screening, 13 studies were finally included in this IR. The results revealed that race/ethnicity, economic access and stability, educational access and quality, healthcare access and quality, neighborhood and built environment, and social and community context contribute to glycemic target achievement among adult patients with T2D in the U.S. Integrating findings from key studies on social determinants of glycemic health may contribute to developing interventions aimed at reducing and eventually eradicating health disparities for individuals with and at risk for T2D in the U.S.

The status syndrome proposed by Marmot is located at the closest level of influence within the Social Determinants of Health (SDH) framework, connecting the body's response to the mental states that arise from the subjective experience of social status. Marmot defines these psychological states through concepts of autonomy and social integration articulated in the Capability Approach (CA). These elements are further explored and expanded upon with the Self-Determination Theory (SDT), an empirically based framework with an extensive tradition of practical application. This lays the groundwork not only for understanding what makes a social environment conducive to well-being but also for shedding light on ways to promote it. The article goes beyond theoretical discussions by introducing a structured model based on the principles of the SDT for health promotion interventions. The model emphasizes the importance of providing a supportive atmosphere and is organized into four distinct phases aimed at aligning interventions with individual motivations, and cultural contexts. Ultimately, the goal is to engage individuals to actively participate in their own well-being while addressing the complexities associated with social inequalities in developed societies.

Depression is recognized as a significant public health issue in the United States. The National Survey on Drug Use and Health reports that 21.0 million adults aged 18 or older had major depressive disorder in 2020, including 14.8 million experiencing a major depressive episode with severe impairment. The aim is to predict the positivity of Patient Health Questionnaire-2 (PHQ-2) outcomes among patients in primary care settings by analyzing a range of variables, including socioeconomic status, demographic characteristics, and health behaviors, thereby identifying those at increased risk for depression. Employing a machine learning approach, the study utilizes retrospective data from electronic health records across 15 primary care clinics in South Florida to explore the relationship between social determinants of health (SDoH), including area of deprivation index (ADI) and PHQ-2 positivity. The study encompasses 15 primary care clinics located in South Florida, where a diverse patient population receives care. Analysis included 94,572 patient visits; 74,636 records were included in the study. If a zip+4 was not available or an ADI score did not exist, the visit was not included in the final analysis. Screening involved the PHQ-2, assessing depressed mood and anhedonia, with a cutoff >2 indicating positive screening. ADI was used to assess SDoH by matching patients' residential postal codes to ADI national percentiles. Demographics, sexual history, tobacco use, caffeine intake, and community involvement were also evaluated in the study. Over 40 machine learning algorithms were explored for their accuracy in predicting PHQ-2 outcomes, using software tools including Scikit-learn and stats models in Python. Variables were normalized, scored, and then subjected to predictive regression models, with Random Forest showing outstanding performance. Feature engineering and correlation analysis identified ADI, age, education, visit type, coffee intake, and marital status as significant predictors of PHQ-2 positivity. The area under the curve and model accuracies varied across clinics, with specific clinics showing higher predictive accuracy and others (p > .05). The study concludes that the ADI, as a proxy for SDoH, alongside other individual factors, can predict PHQ-2 positivity. Health organizations can use this information to anticipate health needs and resource allocation.