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This study aims to propose a self-management clusters classification method to determine the self-management ability of elderly patients with mild cognitive impairment (MCI) associated with diabetes mellitus (DM).
MCI associated with DM is a common chronic disease in old adults. Self-management affects the disease progression of patients to a large extent. However, the comorbidity and patients' self-management ability are heterogeneous.
A cross-sectional study based on cluster analysis is designed in this paper.
The study included 235 participants. The diabetes self-management scale is used to evaluate the self-management ability of patients. SPSS 21.0 was used to analyse the data, including descriptive statistics, agglomerative hierarchical clustering with Ward's method before k-means clustering, k-means clustering analysis, analysis of variance and chi-square test.
Three clusters of self-management styles were classified as follows: Disease neglect type, life oriented type and medical dependence type. Among all participants, the percentages of the three clusters above are 9.78%, 32.77% and 57.45%, respectively. The difference between the six dimensions of each cluster is statistically significant.
This study classified three groups of self-management styles, and each group has its own self-management characteristics. The characteristics of the three clusters may help to provide personalized self-management strategies and delay the disease progression of MCI associated with DM patients.
Typological methods can be used to discover the characteristics of patient clusters and provide personalized care to improve the efficiency of patient self-management to delay the progress of the disease.
In our study, we invited patients and members of the public to participate in the research survey and conducted data collection.
This study aims to investigate the impact of nurses' experiences of hospital violence on resilience, the mediating effect of trust in patients and the moderating effect of organizational trust.
Despite belonging to the central part of health care worldwide and being the leading provider of medical services, nurses are often subjected to hospital violence, which affects their physical and mental well-being. Trust is a high-order mechanism that encourages positive thinking and personal and professional development. However, research into the impact of trust on resilience concerning nurses' experiences of hospital violence is limited.
The participants were 2331 nurses working in general hospitals in China. A cross-sectional survey was conducted, and data were collected via questionnaires from July to October 2022 and analysed using SPSS 25.0 and SPSS PROCESS 3.3 macros. This study was prepared and reported according to the STROBE checklist.
Mean trust in patients was 48.00 ± 10.86 (12–60), mean organizational trust was 56.19 ± 8.90 (13–65) and mean resilience was 78.63 ± 19.26 (0–100). Nurses' experience of hospital violence had a direct negative effect on resilience (β = −.096, p = .871), a significant adverse effect on trust in patients (β = −3.022, p < .001) and a significant positive effect on trust in patients on resilience (β = 1.464, p < .001). Trusting patients played a mediating role. The significant moderating effect of organizational trust between experience of hospital violence and trust in patients was moderated by a mediating effect index of −0.1867 (95% CI = [−0.3408, −0.0345]).
Nurses' experience of hospital violence exerted a negative effect on resilience, trust in patients had a fully mediated effect and organizational trust had a significant moderating influence in the pathway from nurses' experience of hospital violence to patients' trust-mediated resilience.
This study highlights the impact of nurses' experiences of hospital violence on resilience and explores the importance of trust from the nurses' perspective. Measures taken by managers to provide nurses with a safe, trusting and positive work environment can be highly beneficial in enhancing nurse resilience.
To establish a cognitive appraisal path model that examines the impact of stroke knowledge on stigma with the parallel mediating effects of negative and positive coping traits, as well as the moderating effects of family functioning.
Stroke-related stigma, a ‘mixture’ of negative emotions involving internal criticism and external judgement, has been shown to impair patients' health outcomes. However, the specific factors underlying cognitive appraisals and their pathways remain unknown.
A cross-sectional design.
The cross-sectional sample was from two stroke centres in China. Questionnaires were administered to collect sociodemographic data, stroke knowledge, coping traits, family functioning and stigma. Hierarchical regression models and the moderated parallel mediation model were constructed to analyse influencing pathways. The study adhered to the strengthening the reporting of observational studies in epidemiology guideline.
All 144 samples reported stigma symptoms with a moderate-to-high standardising score. The best hierarchical regression model explains 55.5% of the variance in stigma. The parallel mediation model indicated that negative and positive coping traits co-mediating the association of stroke knowledge and stigma. After adding the family functioning as a moderator, the moderated parallel mediation model was confirmed with adequate fit indices.
Among the cognitive appraisal factors affecting stroke-related stigma, stroke knowledge reduces stigma by modifying coping traits, while poor family functioning may serve as an opposing moderator. Notably, when family support is insufficient, enhanced stroke knowledge might paradoxically exacerbate the stigma.
This study contributes knowledge on transforming health education and emphasises the pivotal roles of clinical nursing practitioners. In similar global contexts, the study highlights integrating health education, psychological counselling and family support to advance systematic nursing practices.
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