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To develop an instrument to facilitate the risk assessment of falls in older outpatients.
A quantitative methodological study using the cross-sectional data.
This study enrolled 1988 older participants who underwent comprehensive geriatric assessment (CGA) in an outpatient clinic from May 2020 to November 2022. The history of any falls (≥1 falls in a year) and recurrent falls (≥2 falls in a year) were investigated. Potential risk factors of falls were selected by stepwise logistic regression, and a screening tool was constructed based on nomogram. The tool performance was compared with two reference tools (Fried Frailty Phenotype; CGA with 10 items, CGA-10) by using receiver operating curves, sensitivity (Sen), specificity (Spe), and area under the curve (AUC).
Age, unintentional weight loss, depression measured by the Patient Health Questionnaire-2, muscle strength measured by the five times sit-to-stand test, and stand balance measured by semi- and full-tandem standing were the most important risk factors for falls. A fall risk screening tool was constructed with the six measurements (FRST-6). FRST-6 showed the best AUC (Sen, Spe) of 0.75 (Sen = 0.72, Spe = 0.69) for recurrent falls and 0.65 (Sen = 0.74, Spe = 0.48) for any falls. FRST-6 was comparable to CGA-10 and outperformed FFP in performance.
Age, depression, weight loss, gait, and balance were important risk factors of falls. The FRST-6 tool based on these factors showed acceptable performance in risk stratification.
Performing a multifactorial assessment in primary care clinics is urgent for falls prevention. The FRST-6 provides a simple and practical way for falls risk screening. With this tool, healthcare professionals can efficiently identify patients at risk of falling and make appropriate recommendations in resource-limited settings.
No patient or public contribution was received, due to our study design.
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.
None.
Intimate partner violence (IPV) is associated with multiple adverse health consequences. Nurses (including midwives) are well positioned to identify patients subjected to IPV, and provide care, support, and referrals. However, studies about nursing response to IPV are limited especially in low- and middle-income countries (LMICs). The study aimed to examine nurses' perceived preparedness and opinions toward IPV and to identify barriers and facilitators in responding to IPV.
An explanatory sequential mixed-methods study was conducted by collecting quantitative data first and explaining the quantitative findings with qualitative data.
The study was conducted in two tertiary general hospitals in northeastern (Shenyang city) and southwestern (Chengdu city) China with 1500 and 1800 beds, respectively. A total of 1071 survey respondents (1039 female [97.0%]) and 43 interview participants (34 female [79.1%]) were included in the study. An online survey was administered from September 3 to 23, 2020, using two validated scales from the Physician Readiness to Manage Intimate Partner Violence Survey. In-depth, semistructured interviews were conducted from September 15 to December 23, 2020, guided by the Consolidated Framework for Implementation Research.
The survey respondents largely agreed with feeling prepared to manage IPV, e.g., respond to discourses (544 [50.8%] of 1071) and report to police (704 [65.7%] of 1071). The findings of surveyed opinions (i.e., Response competencies; Routine practice; Actual activities; Professionals; Victims; Alcohol/drugs) were mixed and intertwined with social desirability bias. The quantitative and qualitative data were consistent, contradicted, and supplemented. Key qualitative findings were revealed that may explain the quantitative results, including lack of actual preparedness, absence of IPV-related education, training, or practice, and socially desirable responses (especially those pertaining to China's Anti-domestic Violence Law). Commonly reported barriers (e.g., patients' reluctance to disclose; time constraints) and facilitators (e.g., patients' strong need for help; female nurses' gender advantage), as well as previously unreported barriers (e.g., IPV may become a workplace taboo if there are healthcare professionals known as victims/perpetrators of IPV) and facilitators (e.g., nurses' responses can largely meet the first-line support requirements even without formal education or training on IPV) were identified.
Nurses may play a unique and important role in responding to IPV in LMICs where recognition is limited, education and training are absent, policies are lacking, and resources are scarce. Our findings support World Health Organization recommendations for selective screening.
The study highlights the great potential of nurses for IPV prevention and intervention especially in LMICs. The identified barriers and facilitators are important evidence for developing multifaceted interventions to address IPV in the health sector.
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