A chain mediation model reveals the association between family sense of coherence and quality of life in caregivers of advanced cancer patients.

Caregivers of advanced cancer patients face challenges impacting their quality of life (QoL). While evidence suggests that family sense of coherence (FSOC) can enhance individual psychological well-being and reduce distress symptoms, the precise mechanism through which FSOC improves caregivers' QoL remains unclear. This study aimed to explore the relationships among FSOC, psychological resilience, psychological distress, and QoL in primary caregivers of advanced cancer patients. A cross-sectional observational study was undertaken from June 2020 to March 2021 across five tertiary hospitals in China. Instruments included a general characteristic questionnaire, the Family Sense of Coherence Scale, the Patient Health Questionnaire-4, the 10-item Connor-Davidson Resilience Scale, and the 8-item SF-8 health survey. Pearson's correlation and chain mediation analyses were performed using IBM SPSS (version 21) and PROCESS macro (version 3.4). Out of 290 valid questionnaires, results demonstrated that FSOC directly and positively influences caregivers' QoL. Psychological distress partially mediated the FSOC-QoL association, with paths "FSOC-psychological distress-QoL" and "FSOC-psychological resilience-psychological distress-QoL" contributing 43.08% and 6.72% of the total effect, respectively. Furthermore, this study distinguished physical and mental aspects of QoL, confirming both conform to the chain mediation model. FSOC impacts caregivers' QoL directly and indirectly through the mediation of psychological distress and the chain mediation effect of "psychological resilience-psychological distress". These insights enhance our understanding of the complex interplay between FSOC and QoL, underscoring the potential benefits of bolstering FSOC to strengthen caregiver resilience, alleviate distress, and ultimately elevate their QoL.

The impact of caregiver burden on quality of life in family caregivers of patients with advanced cancer: a moderated mediation analysis of the role of psychological distress and family resilience.

BACKGROUND: The caregiver burden frequently experienced by family members tending to advanced cancer patients significantly impacts their psychological well-being and quality of life (QoL). Although family resilience might function as a mitigating factor in this relationship, its specific role remains to be elucidated. This study aims to probe the mediating effect of psychological distress on the relationship between caregiver burden and QoL, as well as the moderating effect of family resilience. METHODS: A cross-sectional study was conducted between June 2020 and March 2021 in five tertiary hospitals in China. Data were collected on caregiver burden, family resilience, psychological distress (including anxiety and depression), and QoL. Moderated mediation analysis was performed. RESULTS: Data analysis included 290 caregivers. It confirmed the mediating role of psychological distress in the caregiver burden-QoL relationship (P < 0.001). Both overall family resilience and the specific dimension of family communication and problem-solving (FCPS) demonstrated significant moderating effects on the "psychological distress/anxiety-QoL" paths (P < 0.05). The utilization of social and economic resources (USER) significantly moderated the association between depression and QoL (P < 0.05). CONCLUSIONS: The study corroborates psychological distress's mediation between caregiver burden and QoL and family resilience's moderation between psychological distress and QoL. It underscores the need for minimizing psychological distress and bolstering family resilience among caregivers of advanced cancer patients. Accordingly, interventions should be tailored, inclusive of psychological assistance and promotion of family resilience, particularly focusing on FCPS and USER, to augment the caregivers' well-being and QoL.

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Hospitalized patients who lose one or more activities of daily living at the time of discharge compared with 2 weeks before admission (before acute onset) are referred to as hospitalization-associated disability (HAD). The incidence of HAD is high among elderly patients, which leads to the increased readmission rates, long-term care rates, and mortality, bringing a huge burden on patients, families, and society. It is vital for doctors and nurses to identify the risk factors of HAD of the elderly patients and take targeted intervention measures to prevent and improve HAD. At present, the research on HAD in foreign countries is relatively perfect, while the research on HAD in China is still in its infancy, and there is still lack of systematic research and reports on the incidence, influencing factors, and intervention measures of HAD. Domestic clinical nursing practice can learn from foreign mature interventions, carry out cultural adjustment, create a friendly environment in the hospital for elderly patients, pay attention to the assessment of the influencing factors of HAD in elderly patients, and provide personalized and patient-centered nursing measures for hospitalized elderly patients according to the assessment results, maintain their function during hospitalization and prevent the occurrence of HAD.

Effectiveness and acceptability of non-pharmacological interventions in people with mild cognitive impairment: Overview of systematic reviews and network meta-analysis.

BACKGROUND: To explore effectiveness and acceptability of non-pharmacological interventions in mild cognitive impairment (MCI). METHODS: Overview of systematic reviews and network meta-analysis were conducted. Systematic reviews (SRs) were searched via seven databases from June 2015 to June 2020. Randomized controlled trials (RCTs) were retrieved. The Methodological quality was assessed by AMSTAR 2 and RoB 2. Outcomes were effectiveness and acceptability measured by standardized mean differences (SMDs) and odd ratios (ORs) with 95% confidence interval (CI). Pairwise meta-analysis was first conducted, followed by network meta-analysis. RESULTS: A total of 22 SRs and 42 RCTs with 4401 participants were included. The methodological quality of included SRs and RCTs were moderate. There were four interventions, with three types of physical activity (aerobic, muscle-strengthening, and mind-body), three types of cognitive (rehearsal-based, compensatory, and mixed), multicomponent (physical and cognitive component), and nutrition intervention. No significant inconsistency was identified. Regarding intervention effectiveness, muscle-strengthening (SMDs 0.87, 95% CI 0.31-1.43; rank 1), mind-body (0.76, 0.38-1.14; rank 2) and aerobic (0.34, 0.13-0.50; rank 3) were significantly better than the control group and there was no significant difference among these types of intervention . Cognitive intervention of rehearsal-based (1.33, 0.30-2.35; rank 1) and mixed (0.55, 0.00-1.11; rank 2) were significantly better than the control group and there was no significant difference among these types of intervention. Multicomponent intervention (0.32, 0.02-0.62) were significantly better than the control group but not better than the single component group. Regarding acceptability, there was no significant difference among types of intervention. CONCLUSION: Physical activity, cognitive, and multicomponent intervention could be provided regardless of their types and acceptability due to their effectiveness on improved cognitive function for people with MCI.

Quality of care in Hunan Province nursing homes: relationship to staffing and organizational climate.

Our objective was to examine the quality of care perceived by nursing staff and its relationship with the staffing and organizational climate in nursing homes. The participants in this cross-sectional study included 358 nursing staff from 26 nursing homes in Hunan Province, China. This study found that the interaction effect between nursing staff to resident ratio and physician to resident ratio exerted a significant effect on quality of care (p < 0.05). Higher scores on the relationships and communication scale (OR = 4.771, p = 0.002) and lower scores on the work stress scale (OR = 0.980, p = 0.050) were also associated with better quality of care. More work experience was related to lower quality of care (OR = 0.944, p = 0.048), and work experience was associated with relationships and communication (Beta = 0.172, p = 0.002) and work stress (Beta= = 0.259, p = 0.000). Staffing level, work experience, work stress, relationships and communication are key factors in providing higher quality of care in nursing homes.

Effects of computerised cognitive training on cognitive impairment: a meta-analysis.

INTRODUCTION: Computerised cognitive training (CCT) has been shown to enhance cognitive function in elderly individuals with cognitive deterioration, but evidence is controversial. Additionally, whether specific CCT is most effective and which stages of cognitive impairment benefit most is unclear. METHODS: We systematically searched nine medical and technological databases to collect randomized controlled trials related to CCT primarily conducted in patients with subjective cognitive decline (SCD) and mild cognitive impairment (MCI). RESULTS: We identified 12 studies in patients with SCD and MCI. Pooled analysis showed that CCT could significantly improve cognitive function (g = 0.518, p = 0.000), especially related to memory. In terms of different types of cognitive training, specific CCT was more efficacious than non-specific CCT (g = 0.381, p = 0.007) or placebo (g = 0.734, p = 0.000) but not traditional CT (p = 0.628). In terms of stages of cognitive deterioration, the effect of CCT on SCD (g = 0.926, p = 0.002) was almost double that of its effect on MCI (g = 0.502, p = 0.000). CONCLUSION: CCT was most effective in cognitive rehabilitation, particularly in the subdomain of memory. Early intervention in SCD is better.

Malnutrition and its associated factors among elderly Chinese with physical functional dependency.

OBJECTIVE: To assess the prevalence and to identify the associated factors of malnutrition among elderly Chinese with physical functional dependency. DESIGN: Face-to-face interviews using standardised questionnaires were conducted to collect demographic information, health-related issues and psychosocial status. Physical function was measured by the Barthel Index (BI), and nutrition status was assessed by the Mini Nutritional Assessment-Short Form. Multivariate binary logistic regression was used to assess associated factors of malnutrition. SETTING: China. PARTICIPANTS: A total of 2323 participants (aged ≥ 60 years) with physical functional dependency in five provinces in China were enrolled using a multistage cluster sampling scheme. RESULTS: The prevalence of malnutrition was 17·9 % (95 % CI 16·3, 19·4). Multivariable binary logistic regression revealed the independent risk factors of poor nutrition status were being female, older age, lower educational status, poor hearing, poor physical functional status, lack of hobbies, low religious participation, poor social support, lack of social participation and changes in social participation. The study found that the most significant independent risk factor for malnutrition was complete physical functional dependence (OR 4·46, 95 % CI 2·92, 6·82). CONCLUSIONS: The findings of the study confirm that malnutrition and the risk of malnutrition are prevalent in Chinese older adults with physical functional dependency. In addition to demographic and physical health-related factors, psychosocial factors, which are often overlooked, are independently associated with nutrition status in Chinese older adults with physical functional dependency. A holistic approach should be adopted to screen for malnutrition and develop health promotion interventions in this vulnerable population.

Neuropsychiatric symptoms as prognostic makers for the elderly with mild cognitive impairment: a meta-analysis.

BACKGROUND: Although several neuropsychiatric symptoms (NPSs) have been demonstrated to have value in the prediction of the progression of mild cognitive impairment (MCI) to dementia, these symptoms are less studied for the prediction of the transition from normal cognition (NC) to MCI. METHODS: Prospective cohort studies were included if they reported on at least one NPS at baseline and had MCI as the outcome. RESULTS: We obtained 13 cohort studies with a total population of 33,066. Depression was the most common neuropsychiatric symptom and could significantly predict transition to MCI (RR = 1.49, 95% CI: 1.13-1.86). However, depression was more capable of predicting amnestic MCI (RR=1.43, 95% CI: 1.04-1.83) than non-aMCI (RR= 0.96, 95% CI 95% CI: 0.60-1.33). Subgroup analysis suggested that the association between depression and MCI changed with depression severity, depression criteria, apolipoprotein-E-adjusted status, age, the percentage of females, and follow-up times, but some data were too sparse for a reliable estimate. Regarding other NPSs, there were insufficient data to assess their effect on the development of MCI. However, apathy, anxiety, sleep disturbances, irritability, and agitation might be risk factors for the prediction of NC-MCI transition with strong predictive value. CONCLUSIONS: Depression was associated with an approximately 1.5-fold sincreased risk of the progression to MCI in the population with normal cognition. Other NPSs with underlying predictive value deserve more attention.

Evaluation of quality improvement intervention with nurse training in nursing homes: A systematic review.

INTRODUCTION: Quality improvement may be a promising approach to improve the quality of care in nursing homes, and nurse training is a key step in a successful quality improvement practice. The implementation of training measures may be related to the quality of quality improvement practice. Little is known about the quality of quality improvement practice or effective nurse training measures that affect the quality of quality improvement interventions in nursing homes. AIMS: The aim of this review was to assess the quality of available quality improvement intervention designs and present effective nurse training measures that contribute to a high-quality quality improvement intervention. METHODS: We searched the Cumulative Index to Nursing and Allied Health Literature (CINAHL), Medline, Embase and the Cochrane Library for articles published before March 2019. quality improvement intervention quality was evaluated using a standardised assessment tool. Descriptive synthesis was used for the analysis. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) Checklist was used for transparency. RESULTS: We included 12 articles, 1 was rated as perfect quality and 7 good quality. Out of these 8 studies, 3 features primarily reflected differences in quality: compliance, sustainability and replication ability of the interventions. They were affected by measures included provision of advanced training, available training resources, feedback process, building quality improvement teams, setting up mentors and nursing leadership training. Other recommended measures included external cooperation and leadership empowerment. CONCLUSION: A high-quality quality improvement intervention should consider how to improve compliance, sustainability and replication ability. Adapting measures that are compatible with nurse training may ensure a successful implementation of quality improvement programmes that are conducive to the effective improvement of service quality. RELEVANCE TO CLINICAL PRACTICE: Quality improvement programmes should take into account measures that are compatible with nursing staff training. These measures should help improve the quality of interventions and promote care service of nursing homes.

Nursing home staff experiences of implementing mentorship programmes: A systematic review and qualitative meta-synthesis.

AIM: To determine nursing home staff experiences in mentorship programmes, and staff perceptions of the enablers and barriers to implement mentorship programmes. BACKGROUND: Mentorship programmes are perceived as playing an important role in improving the quality of care in nursing homes. However, little is known about research evidence across the global about staff's experiences in the programmes. METHODS: A search for studies published from the earliest available date to April 2019 was undertaken. Two reviewers performed data extraction and an appraisal of eight studies using tools from the Joanna Briggs Institute. A pragmatic meta-aggregative approach was applied to synthesise the findings. The qualitative research that was included was analysed to identify 63 findings that were organised into 12 categories and combined into three syntheses. RESULTS: The implementation of effective mentorship programmes is influenced by three factors: mentor capability, opportunity in the mentorship programmes, and motivation in the mentorship programmes. CONCLUSIONS: There are a number of studies of nursing home staff experiences of mentorship programmes. However, systematic reviews that synthesise findings in this field are lacking. It is crucial to tailor the programme design to suit each unique nursing home care setting. We identified barriers and enablers, and learned that no barriers are insurmountable. IMPLICATIONS FOR NURSING MANAGEMENT: Findings will inform nurse managers of an ideal environment for the implementation of a successful mentorship programme. Nursing homes need to establish and sustain mentorship programmes to help improve workforce capacity in delivering high-quality care for residents.

Web-Based Interventions to Improve Mental Health in Home Caregivers of People With Dementia: Meta-Analysis.

BACKGROUND: Dementia is a major cause of disability and dependency in older adults worldwide. It is often accompanied by general psychological distress, such as depression and anxiety symptoms, among caregivers of people with dementia (PwD). The physical and mental health of the caregiver is a prerequisite and a promise to help PwD continue to live as long and as well as possible. Web-based interventions can provide convenient and efficient support and an education tool to potentially reduce the negative outcomes associated with providing care. OBJECTIVE: The aim of this study was to examine the effect of internet-based interventions on the mental health outcomes of family caregivers of PwD and to explore which components of the Web-based interventions play an important role. METHODS: A comprehensive literature search was conducted in PubMed, Excerpta Medica dataBASE, PsycINFO, Cochrane Database, and the Cumulative Index to Nursing and Allied Health Literature using relevant terms such as Web-based and caregiver as keywords, covering all studies published before June 2018. A total of 2 reviewers independently reviewed all published abstracts, according to established inclusion and exclusion criteria. We extracted information about the participants, interventions, and results and reviewed article quality in terms of the randomized trial methods, using the approach recommended by the Cochrane Handbook for Systematic Reviews of Interventions. RESULTS: A total of 815 caregivers participated in 6 studies, with 4 of the studies using depression as an outcome. The analysis found that depression scores dropped an average of 0.23 (95% CI -0.38 to -0.07; P<.01) after Web-based interventions. In 2 studies of caregivers who were experiencing anxiety symptoms, the average score for anxiety dropped by 0.32 points (95% CI -0.50 to -0.14; P<.01). However, in terms of coping, pain, and stress, the Web-based interventions showed a poor effect. On the whole, the addition of professional psychological support on the basis of education can improve caregivers' mental health. CONCLUSIONS: Internet-based interventions were generally effective at reducing anxiety and depression in dementia caregivers, although negative results were found in some studies. As for burden and stress, further research is required.

Correlates of Depressive Symptoms Among Older Adults With Physical Functional Limitations: A Cross-Sectional Study in China.

The current study sought to determine the prevalence and correlates of depressive symptoms among older adults with physical functional limitations in China. A total of 2,410 older adults (age ≥60 years) were enrolled. Depressive symptoms and physical function were assessed with the Patient Health Questionnaire-9 (PHQ-9) and Barthel Index of Activities of Daily Living, respectively. Univariate logistic regression and stepwise multiple logistic regression analyses were performed. The mean score for depressive symptoms was 5.45 (SD = 5.49), with a prevalence of 27% (95% confidence interval [25.2, 28.8]). Risk factors for depressive symptoms included female gender, rural residence, being a farmer before age 60, history of chronic disease, self-reported poor health status, complete dependence, stressful life events over the past 3 months, insufficient emotional and material support, and low social participation over the past 1 month and feeling depressed about it. However, individuals older than 80 with high educational levels and hobbies showed a relatively low prevalence of depressive symptoms compared to their counterparts. This study confirms the necessity to screen for depressive symptoms in older adults, particularly those with physical functional limitations. The information can be used to identify and reduce related risk factors of depressive symptoms for vulnerable older adults. [Res Gerontol Nurs. 2019; 12(3):133-146.].

Aged care clinical mentoring model of change in nursing homes in China: study protocol for a cluster randomized controlled trial.

BACKGROUND: Residents living in nursing homes usually have complex healthcare needs and require a comprehensive care approach to identifying and meeting their care needs. Suboptimal quality of care is reported in nursing homes and is associated with the poor health and well-being of the residents, the burden on acute care hospitals and the high costs of healthcare for the government. The aim of this study is to test the hypothesis that an Aged Care Clinical Mentoring Model will create and sustain evidence-based quality improvement in priority areas and will be cost-effective in nursing homes in Hunan Province, China. METHODS: A cluster randomized controlled trial will be applied to the study. Fourteen nursing homes will be randomly allocated to either the intervention group (n = 7) or the control group (n = 7). Forty staff will be recruited from each nursing home and the estimated sample size will be 280 staff in each group. The intervention includes a structured, evidence-based quality improvement education program for staff to facilitate knowledge translation in evidence-based quality improvement targeting urinary incontinence, pressure injury and falls prevention. The primary outcomes are nursing homes' capacity to create and sustain quality improvement, staff perceptions of person-centered care, self-reported quality of care by residents and selected quality indicators at 12 months follow-up adjusted for baseline value. Secondary outcomes are residents' quality of life, residents' unplanned admissions to acute care hospitals, quality of care reported by staff, staff job satisfaction and staff intention to leave adjusted for baseline value. A mixed linear regression model will be adopted to compare the significant differences between groups over a 12-month period. DISCUSSION: Although the Aged Care Clinical Mentoring Model has been tested as an effective model to bring positive changes in nursing homes in a high-income country, factors affecting the adaptation of the model in nursing homes in low- and middle-income countries are unknown. The carefully planned intervention protocol enables the project team to consider enablers and barriers when adapting the Model. Therefore, strategies and resources will be in place to manage challenges while demonstrating best practice in this study. TRIAL REGISTRATION: Prospectively registered via Chinese Clinical Trial Registry (ChiCTR), ChiCTR-IOC-17013109 , Registered on 25 October 2017.

Spatial Assessment of Anthropogenic Impact on Trace Metal Accumulation in Farmland Soils from a Rapid Industrializing Region, East China.

A better understanding of anthropogenic trace metal accumulation in farmland soils is crucial for local food safety and public health, especially for a rapidly industrializing region. In this study, soil samples at two depths were collected from a typical county in East China and analyzed for total concentrations of Fe, Al, Pb, Cd, Cu, Zn, Cr, and Ni. Results showed that trace metals like Pb, Cd, Cu, Zn, Cr, and Ni have accumulated in the regional farmlands, with average topsoil concentrations 1.62⁻1.77 times higher than their background concentrations in subsoil. However, they were still much lower than the limits of the Chinese Environmental Quality Standard for Soils. By the proper calculation of enrichment factor (EF), it was found that the accumulations of trace metals in the topsoil have been impacted by anthropogenic activities, which could contribute up to 40.83% of total metal concentration. Two principal components were extracted according to the results of principal component analysis (PCA) for EF values, which indicated two important anthropogenic trace metal sources. With the help of spatial distribution maps based on geographical information system (GIS), the anthropogenic sources of Pb, Cr, and Ni were determined to be mostly associated with atmospheric deposition from the central urban area. However, Cd, Cu, and Zn were further confirmed to originate from different agricultural sources. The anthropogenic Cu and Zn inputs were mostly related to pig manure application in the rural northern and southeastern areas, while extensive fertilizer application was identified as the major contributor to anthropogenic Cd accumulation in this region. Overall, the integrated application of EF, PCA, and GIS mapping is an effective approach to achieve the spatial assessment of anthropogenic impact on trace metal accumulation in regional soils.