Clinical Nursing Research最新文献

Comorbidity network analysis (CNA) is a technique in which mathematical graphs encode correlations (edges) among diseases (nodes) inferred from the disease co-occurrence data of a patient group. The present study applied this network-based approach to identifying comorbidity patterns in older patients undergoing hip fracture surgery. This was a retrospective observational cohort study using electronic health records (EHR). EHR data were extracted from the one University Health System in the southeast United States. The cohort included patients aged 65 and above who had a first-time low-energy traumatic hip fracture treated surgically between October 1, 2015 and December 31, 2018 (n = 1,171). Comorbidity includes 17 diagnoses classified by the Charlson Comorbidity Index. The CNA investigated the comorbid associations among 17 diagnoses. The association strength was quantified using the observed-to-expected ratio (OER). Several network centrality measures were used to examine the importance of nodes, namely degree, strength, closeness, and betweenness centrality. A cluster detection algorithm was employed to determine specific clusters of comorbidities. Twelve diseases were significantly interconnected in the network (OER > 1, p-value < .05). The most robust associations were between metastatic carcinoma and mild liver disease, myocardial infarction and congestive heart failure, and hemi/paraplegia and cerebrovascular disease (OER > 2.5). Cerebrovascular disease, congestive heart failure, and myocardial infarction were identified as the central diseases that co-occurred with numerous other diseases. Two distinct clusters were noted, and the largest cluster comprised 10 diseases, primarily encompassing cardiometabolic and cognitive disorders. The results highlight specific patient comorbidities that could be used to guide clinical assessment, management, and targeted interventions that improve hip fracture outcomes in this patient group.

In this paper, we explore the phenomenon of "self-deception" within the context of nursing, focusing on how nurses employ this coping mechanism when faced with dissonance, distress, and conflicting situations in clinical settings. Our primary objective is to examine the phenomenon of self-deception using Rodgers' evolutionary method of concept analysis. Focusing on nurses' experiences in challenging situations, our analysis highlights how self-deception is often employed as a coping strategy. According to our conceptual analysis, self-deception in nursing clinical practice highlights tensions between different paradigms and expectations in healthcare settings. These tensions stem from the power dynamics and subservience that nurses often face, which can hinder their ability to advocate for themselves, their patients, and the nursing profession.

The aim of this study was to estimate the prevalence of metabolic syndrome (MetS) in a Spanish rural population and assess differences in prevalence according to loneliness level, social isolation, and social support. This is a cross-sectional study of 310 patients. MetS was defined by National Cholesterol Education Program-Third Adult Treatment Panel. The UCLA (University of California, Los Angeles) Loneliness Scale, Multidimensional Scale of Social Support, and Lubben Social Network Scale were used to assess loneliness, perceived social support, and social isolation. Almost half of the participants fulfilled MetS diagnosis criteria. Subjects with MetS showed significantly higher levels of loneliness, less social support, and greater social isolation. Systolic blood pressure was significantly higher in socially isolated rural adults. Environmental factors may play a key role in the prevalence of MetS, so specific screening and prevention programs could help health professionals prevent the increasing rates of MetS in rural populations under these socially specific conditions of vulnerability.

Patient care needs in ambulatory care (AC) settings continue to grow and evolve in the United States, with commensurate growth of nursing responsibilities in AC. Conducting research on the nursing workforce and nursing practice is essential to understanding and meeting the needs of nurses and patients in this setting. However, the structures and characteristics of AC settings pose challenges for conducting research on AC nursing practice. This article explains unique barriers to participation in research for nurses in AC, describes recruitment challenges for nurse researchers in AC, and provides strategies to increase recruitment of nurses for AC research. Researchers in AC must find ways to recruit representative participant samples, be clear and precise in defining terms, and report robust demographic information about participants and their practice settings.

This study investigated the pattern of weight variability over 8 weeks and its associations with achieving weight gain goals and five biopsychosocial factors among pregnant women. We conducted a secondary analysis of 117 weeks of data from 16 pregnant women with a body mass index (BMI) ≥25. Weight variability was calculated from the difference of ending and beginning and maximum and minimum weights in a week and percent of each difference from baseline weight. Loess smoother, repeated measures model, and compound symmetric covariance matrix were used for analysis. The variability measure of maximum-minimum weight (overall mean: 2.1 ± 0.4 lbs.) was greater than the ending-beginning weight measure (overall mean: 0.7 ± 0.6 lbs.). Weight variability was negatively associated with achieving weight gain goals but not with biopsychosocial factors. Assessing weight variability is important during pregnancy so that preventive measures or lifestyle counseling can be instituted immediately to prevent excessive weight gain.

The aim of this study was to investigate the impact of COVID-19 infection on disease management among individuals with type 2 diabetes and to explore their perspectives on COVID-19. This descriptive qualitative study included patients with diabetes, with a sample of 15 patients meeting the study criteria. The data were analyzed using code groups, which were then further categorized into main themes and subthemes. The main themes were: initial contact with the SARS-CoV-2 that is associated with COVID-19 illness changes in diabetes self-management behaviors; attempt at maintaining diabetes selfmanagement behaviors; and problems with accessing diabetes care. The study findings revealed several significant insights. Individuals with diabetes exhibited a fear of contracting SARS-CoV-2, which led to reduced levels of exercise and difficulties in managing blood sugar levels and insulin adjustments. Moreover, due to anxiety about COVID-19 infection, they postponed health check-ups, resulting in experiencing diabetes-related complications.

Improving breastfeeding rates is a global goal. To achieve it, actions targeting modifiable factors that influence the breastfeeding experience, such as maternal self-efficacy, could be a promising path, especially with preterm infants' mothers. Considering the current ubiquitous technology, we developed a mobile application for mothers of preterm infants to constitute a breastfeeding information and support platform. The study was developed in three phases: a survey to determine characteristics and preferences of preterm infants' mothers; the app development by an interdisciplinary team, following the principles of Disciplined Agile Delivery; and the face and content validation by 10 professionals. The app contains 80 screens and 11 strategies to address prematurity, lactation, breastfeeding, peer support, maternal emotions, resilience, and motivation. Nurses can apply their expertise by designing mHealth-based interventions, employing scientific evidence, and considering the interests and preferences of the target population. Future studies will assess the user experience, the effect on breastfeeding self-efficacy, and breastfeeding rates, and develop a culturally adapted English version of the app for women in Canada.

This study sought to evaluate the impact of the subcutaneous tunneling technique on peripherally inserted central catheter (PICC) placement. We randomized 694 patients who needed PICC placement to either the tunneled PICCs (experimental group) or the non-tunneled PICCs (control group) from August to December 2021. The cumulative frequency of complications was assessed as the primary outcome. Secondary outcomes comprised of the amount of bleeding, catheter insertion time, self-reported pain score, and one-puncture success rate. After 6 months of follow-up, the tunneled PICCs group showed a significant decrease in the frequency of total complications, especially in infection (3.0% vs. 7.1%, p = .021) and catheter-related thrombosis (3.3% vs. 8.3%, p = .008), although approximately 0.5 ml bleeding and 3.5 min time were increased. This randomized multicenter study supports the efficacy of subcutaneous tunneling technology in reducing PICC-related complications, enhancing patient comfort, and encouraging using subcutaneous tunneling technology for PICC placement.

Exercise is significantly beneficial for patients with osteoporosis. However, physiological and psychological factors such as pain and kinesiophobia prevent patients from participating in exercise. Therefore, it is important to understand how these patients perceive participation in exercise. This qualitative study was conducted in China using conventional content analysis. Using a purposeful sampling method, 17 patients with primary osteoporosis were recruited. Data were collected through a semi-structured interview and managed using ATLAS.ti 21. Nine generic categories were developed from 26 subcategories and two main categories were identified: Barriers and facilitators, support systems, network resources, positive emotions, and reactions were the facilitators for exercise in this study. In addition, mindful exercise was positively viewed by the patients. Inefficient awareness, weak support systems, and burdens were identified as barriers. To improve compliance in clinical practice, targeted exercise protocols should be developed for patients based on these perceptions.

Individual identity as a function of human development significantly intersects with and is necessarily influenced by the social world. To describe this intersection and its effects, the term sociolocation was proposed, initially in the context of adolescent development, and defined as "self-identification and recognition of social integration through relationships." Almost a decade later, it is apparent that the processes of sociolocation may continue and repeat through the rest of the lifespan. The purpose of this, therefore, paper is to present an expanded definitional and conceptual analysis of sociolocation using the techniques described by Chinn, Kramer, and Sitzman. Such an analysis is important across nursing science, practice, and education, since in all three domains the nurse may encounter individuals engaged in sociolocation. Understanding what this process is and when and how it may occur can be helpful in care planning, learning, and research endeavors.