Research in Nursing & Health最新文献

The aim of this study was to investigate organizational and practitioner-related factors influencing the panel size of primary care nurse practitioners (PC-NPs) in Quebec (Canada). Cross-sectional study. This secondary analysis was based on a cross-sectional study that used a self-administered online questionnaire available from March to April 2022 to assess the work conditions of NPs in Quebec. A multiple regression analysis was conducted on a subset of 321 PC-NPs to predict panel size and associated factors. Among 321 PC-NPs, with a mean of 4.6 years of experience as NP, the average panel size was 344 patients. Factors significantly associated with a greater panel size were a higher number of years of experience as a NP (p < 0.001), a higher number of years spent in the current organization (p < 0.001) and a higher number of patients seen in an average day (p < 0.001). Our study provided a measure of the PC-NP panel size in the province of Québec highlighting their essential role in primary health care. The results suggest that policymakers and administrators should focus on enhancing the experience of their PC team, ensuring employment stability and providing adequate time for patient appointments to optimize PC-NP panel size and enhance service capacity to increase access to primary health care.

In South Korea, hypertension (HTN) is prevalent among deaf individuals, with a reported rate of 63.9%, which is higher than in the general population. To manage this condition effectively, a self-management education intervention is needed. In particular, since deaf individuals generally exhibit low levels of health literacy, it is essential to develop interventions that consider their limited health literacy. This study evaluates the impact of the Hypertension Self-Management Education for the Hearing Impaired Using Sign Language (H-SMILE) program. Using a quasi-experimental, nonequivalent control group design, 16 deaf participants received the 6-week H-SMILE program, whereas 17 participants attended a single traditional lecture session. Outcomes measured included depression, quality of life, HTN knowledge, health literacy, self-care, medication adherence, and clinical indicators, assessed at baseline, post-intervention, and 2 months post-intervention. Immediately post-intervention, the H-SMILE group showed improvements in self-care management, self-care confidence, and functional health literacy, alongside an increase in depression compared to controls. These effects did not persist at the 2-month follow-up. The H-SMILE program shows initial effectiveness but requires strategies for long-term sustainability of outcomes.

Online survey research has become an increasingly popular and effective method in the social sciences for exploring and addressing health-related issues. However, the increasing prevalence of fraudulent activities, particularly survey bots, threatens data integrity and can compromise health research by generating misleading data. The purpose of this paper was to describe the implementation of bot detection strategies in an online survey with Latine sexual minority men (SMM). Eleven bot detection indicators, including AI-detection software for open-ended responses, were used in two approaches to differentiate bot-generated from human responses. In the first approach, bot detection indicators were applied stepwise to identify valid entries. In the second approach, a fraud detection algorithm was used to identify three fraud categories. Key demographics and study variables were compared across fraud categories using chi-square/Fisher's Exact tests for categorical data and Kruskal-Wallis tests for continuous data (significance set at 0.05). Of the 1147 total survey entries, 837 (73%) completed at least 20% of the survey (814 completed all items). A total of 739 (88%) of the 837 completed surveys were classified as fraudulent. Among the 837 completed surveys, 333 (40%) had an AI-generated open-ended response and fast completion time (≤ 20 min) and 234 (28%) entries were flagged for all three of these indicators. Sociodemographic characteristics and HIV prevention outcomes were largely similar across bot-generated and human responses. Findings suggest that survey bots are a pervasive threat to online research and are effective at providing human-like responses. To protect data integrity and ensure the development of effective health policies and interventions, health science researchers should adopt comprehensive bot detection and prevention strategies.

The aim of the study was to evaluate the effect of Transition Model-Based Discharge Training for Mothers of Preterm Infants (TRAMPRE) on (1) Kenner's three components of the transition to home; (2) post-partum depression; (3) unplanned hospital/family health center visits; and (4) post-discharge complications. Our study was conducted with 133 mothers who received services in the NICU of a hospital providing tertiary health care in Türkiye. The content of the intervention protocol consists of "Discharge Training for Mothers on Infant Care," the "Preterm Infant Care Guide," and "Telephone Follow-up and Counseling." Data were analyzed using descriptive statistics, t-tests, repeated measure ANOVA and chi-square tests. The time 2 scores for the Transition Questionnaire (TQ) were 101.88 ± 11.04 and 67.03 ± 7.71 for the intervention and control groups, respectively (p < 0.05). The time 2 scores for the intervention group on postnatal depression levels (4.55 ± 4.51) were significantly lower than those of the control group (10.94 ± 4.69) (p < 0.05). Comparing the intervention and control groups revealed a significant difference between the rates of thrush (i: 1.5%, c: 12.1%), diaper rash (i: 4.5%, c: 30.3%), hospitalization after discharge (i: 3%, c: 13.6%), attending routine controls (i: 100%, c: 90.9%), and exclusive breastfeeding (i: 43.3%, c: 19.7%). It was concluded that transition model-based discharge training offered to mothers of LPT infants was effective in improving the mothers' transition to home care and reducing the incidence of post-partum depression. Trial Registration: Clinical Trials number: NCT05525624.

Cultural differences, along with various social and political determinants, affect the social isolation experienced by older adults. This study aimed to investigate the factor structure of the Traditional Chinese version of the Friendship Scale (FS-TC) and to assess its psychometric properties in relation to social isolation among Taiwanese older adults. In Phase 1, the scale underwent cultural adaptation and translation before being evaluated for face and content validity by ten older adults and five experts in nursing and geriatric care. Phase 2 involved a cross-sectional study with a convenience sample of 500 older adults from southern Taiwan to establish construct validity, criterion validity, and reliability. Of these participants, 100 were retested 2 weeks later to assess test-retest reliability. The scale-level content validity index was 1.0. A confirmatory factor analysis showed a two-factor structure of the FS-TC, consisting of "connection" and "isolation" factors. The Cronbach's α for the scale was 0.82, while the intraclass correlation coefficient reached 0.96. Convergent validity was demonstrated through significant correlations with the Geriatric Depression Scale, the Social Support Scales, and the Loneliness Scale. The FS-TC showed a sensitivity of 56% and a specificity of 89% for predicting Lubben Social Network Scale-6 measured social isolation. An optimal cut-off score of 14.5 was identified for predicting social isolation in older adults. Overall, the FS-TC was shown to be a reliable and valid measure of social isolation, making it a valuable tool for healthcare providers and researchers assessing the severity of social isolation among Taiwanese older adults.

The COVID-19 pandemic created a crisis in healthcare throughout the world, which may have influenced perioperative nursing roles and responsibilities. The aims of this study were to assess the perioperative nurse's work experience during the COVID-19 pandemic and to evaluate the impact of their perceived stress, burnout, and job satisfaction on their intent to stay (ITS) in the workforce. A descriptive, exploratory design was conducted using an electronic survey methodology. The study was guided by the Job Demands-Resources model. The primary outcome variable was ITS. Data analysis included univariate and multivariate techniques. The mean age of respondents (N = 1436) was 50; 92% were female; 54% reported a BSN as their highest degree. Over half were clinical nurses (59%) and the majority (64%) reported working in their usual unit during COVID-19. Nurses providing direct care to COVID-19 patients reported significantly higher burnout and secondary traumatic stress (p < 0.001); however, there was no significant difference in ITS. Significant predictors of ITS included a greater number of years as a perioperative nurse, higher compassion satisfaction, and a positive perception of workload. Results support years in practice and higher compassion satisfaction as positive predictors of ITS in the workforce and a perception of heavier workload as negative. Perioperative nurses took on a variety of roles that could be helpful in the future support of pandemics. Institutional and policy support of actions to enhance perioperative nurses' perceived workload and compassion satisfaction is important to foster nurses staying within perioperative nursing and the organization.

Poor sleep quality and psychological stress are interrelated and disproportionately affect adults with multiple cardiovascular disease (CVD) risk factors. Maintaining an optimal home environment and engaging in healthy bedtime behaviors are important components of sleep hygiene practices that influence sleep health. This study sought to examine: (1) the association between sleep hygiene and psychological stress, and (2) the moderating effect of sleep quality in the relationship between sleep hygiene and psychological stress, among adults with multiple CVD risk factors. A cross-sectional study was conducted with 300 adults diagnosed with hypertension and diabetes. Individuals were recruited from a large academic health center and were asked to complete an online survey. Sleep hygiene was assessed by nine individual factors focusing on negative household environment (safety, physical comfort, temperature, noise, and light) and poor bedtime behaviors (watching TV, playing video games, using small screens, and eating), and by a composite score. Multivariable linear regression was employed to examine the associations. Of the sample, 78% reported poor sleep quality and 44% reported high psychological stress. The composite sleep hygiene score was significantly associated with higher psychological stress after controlling for sleep quality, and the relationship was not modified by sleep quality. Unsafe household, uncomfortable physical environment, uncomfortable temperature, and eating at bedtime were independently related to increased stress levels. The study highlights strong links between sleep hygiene and psychological stress. Current evidence suggests that promoting home environment and bedtime behaviors may alleviate psychological burdens in adults with multiple CVD risk factors.