Self-management and illness perception among cervical cancer patients: A cross-sectional study.

AIM: This study aimed to describe self-management among cervical cancer patients and to elucidate the relationship between illness perception and self-management in patients with cervical cancer. METHODS: This was a cross-sectional study. A convenience sample of 220 cervical cancer patients was recruited from the gynaecology outpatient department of a cancer hospital. Data were collected from September 2018 to February 2019. Self-management and illness perception were assessed using the Cancer Self-Management Assessment Scale and the Revised Illness Perception Questionnaire for cervical cancer, respectively. Data were analysed using Pearson correlation analysis, univariate analysis and hierarchical linear regression analysis. RESULTS: The mean score of self-management was 3.87 ± 0.53, and daily life management showed the highest score (4.18 ± 0.58), while symptom management was the lowest (3.11 ± 082). Hierarchical linear regression analysis showed that family monthly income per person, types of surgery and personal control were factors that significantly influenced self-management. CONCLUSIONS: The results demonstrate that self-management among patients with cervical cancer needs to be improved. The significant influence of illness perception offers an opportunity for nurses to improve self-management behaviours of patients with cervical cancer.

Association between familism and mental health in dementia caregivers: a systematic review and meta-analysis.

BACKGROUND: Dementia caregivers suffer from mental health problems while caring for dementia patients. As a core value, familism has been linked to the mental health of dementia caregivers. This study aims to systematically review the familism of dementia caregivers and to examine the association between familism and mental health of anxiety, depression, and burden in empirical research studies. METHODS: We conducted a systematic search in various databases like Medline, PubMed, and Embase databases from inception till April 2021. Fisher's z was calculated with correlation coefficient or regression coefficient values for three familism dimensions and mental health of anxiety, depression, and burden. All statistical analyses were performed using Comprehensive Meta-Analysis (CMA) version 2.0 software. RESULTS: A total of seven studies with 1178 participants were eligible for the meta-analysis. For caregivers' anxiety, three of seven studies, with 358 participants, were examined in terms of the average corrected correlation coefficient across the studies. It was found that dementia caregivers' familism was significantly related to anxiety. The pooled z-value was 0.148 (95% CI = 0.043-0.253). In addition, caregivers' familism significantly affected depression (z = 0.080; 95% CI = 0.003-0.156), as did familial obligation (z = 0.122; 95% CI = 0.034-0.211), but perceived family support was not associated with this (z = 0.051, 95% CI = -0.038-0.140). As for caregiver burden, there was no evidence that familism was significantly associated with it (z = -0.073; 95% CI = -0.297 to 0.151), including familial obligation and perceived family support (z = -0.087 and -0.089, respectively; 95% CI = -0.278 to 0.104 and -0.335 to 0.157, respectively). CONCLUSIONS: An association between caregiver familism and anxiety/depression exists in dementia patients. More research is needed to explore the relationship between familism and burden.

Adaptation and psychometric testing of the Chinese version of the Revised Illness Perception Questionnaire for cervical cancer patients.

PURPOSE: Illness perception is an important factor that influences psychological distress, coping behaviors, and illness outcomes, and this factor is often assessed by the Revised Illness Perception Questionnaire (IPQ-R). Data regarding illness perception among cervical cancer patients are limited, especially in China. The study aimed to adapt and psychometrically test the Chinese version of the IPQ-R for Cervical Cancer (CIPQ-R-CC). METHODS: This was a methodological study. Before the survey, the identity and causal subscales (originally 14 and 18 items, respectively) were adapted. Data were collected from 220 cervical cancer patients (N = 220) from June 2018 to February 2019. Psychometric properties were assessed using explanatory factor analysis, confirmatory factor analysis, Pearson correlation coefficients, one-way analysis of variance, t-tests and Cronbach's alpha coefficients. RESULTS: Eight identity items and twenty-six causal items were included in the CIPQ-R-CC, which showed acceptable content validity (I-CVI = 0.78-1.00, S-CVI = 0.97-0.99). A five-factor solution was obtained from the cause subscale by explanatory factor analysis, and these factors explained 60.19% of the total variance. For Part III of the CIPQ-R-CC, after deleting nine items and respecifying five error covariances, the proposed seven-factor model was confirmed. There were low to moderate correlations between the latent factors (r＜0.52). Known-group validity was demonstrated in some groups with different demographic characteristics. The Cronbach's alpha coefficients were also acceptable (0.60-0.88). CONCLUSION: The CIPQ-R-CC is a reliable and valid tool for assessing illness perception among Chinese cervical cancer patients. Future studies are needed to verify its factor structure and to confirm its theoretical connotation.