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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. Summary statement: What is already known about this topic? Self‐management plays an important role in cervical cancer survivors' well‐being.Little study has investigated whether illness perception is associated with self‐management in patients with cervical cancer. What this paper adds? Self‐management scores among patients with cervical cancer were unsatisfactory.Personal control was a significant predictor of cervical cancer patients' total self‐management.Family monthly income per person and types of surgery were also predictive of cervical cancer patients' total self‐management. The implications of this paper: Nurses and other clinical practitioners should consider the perceptions that cervical cancer patients have about their illnesses to help them maintain positive health behaviours and manage their illnesses. [ABSTRACT FROM AUTHOR]

Background and objectives: A good intimate relationship (IR) can relieve the psychological distress of patients with cervical cancer and promote a sense of well-being during stressful times. Researchers have found that IR is related to illness perception (IP) and dyadic coping (DC). Therefore, this study aimed to (1) describe the IR of patients with cervical cancer, (2) identify the relationships and pathways among IP, DC and IR in patients with cervical cancer and (3) explore the mediating role of DC between IP and IR in cervical cancer patients. Methods: A total of 175 patients with cervical cancer were recruited at a tertiary hospital in China from September 2021 to January 2023. The data were collected through a general demographic and disease-related information questionnaire, the Locke­Wallace Marriage Adjustment Test, the Revised Illness Perception Questionnaire of Cervical Cancer and the Dyadic Coping Inventory. Results: The mean score for intimate relationships was 107.78 (SD = 23.99, range 30–154). Pearson’s correlation analysis revealed that intimate relationships were positively correlated with IP (personal control) and DC (stress communication, supportive DC, delegated DC and common DC) and were negatively correlated with IP (consequence, timeline acute/chronic, timeline cyclical and emotional representation) and negative DC. As for the results of the structural equation model, DC fully mediated the influencing effects of both positive and negative IP on IR. Conclusions: The level of IR of patients with cervical cancer in China should be improved. DC has a significant mediating effect on the link between the IP and IR. [ABSTRACT FROM AUTHOR]

Aims: To evaluate the effects of couple‐based dyadic interventions on breast cancer patients and their intimate partners and compare the effects between interventions with different durations (<3 months; =3 months; >3 months). Design: A systematic review and meta‐analysis. Data sources: Six English databases, PubMed, Embase, Web of Science Core Collection, the Cochrane Library, Medline, PsycINFO, and three Chinese databases, China National Knowledge Infrastructure (CNKI), WanFang, and Weipu (VIP), from database inception to 19 February 2022. Review Methods: The quality of the included RCTs was evaluated using the Cochrane risk‐of‐bias tool and the data analysis was performed by using RevMan 5.4 and Stata 15. The outcomes were categorized into five aspects: dyadic relationship, overall quality of life (QOL), physical health, psychological health and social adjustment. Results: Nineteen RCTs were included. For patients' overall effects, couple‐based dyadic interventions can improve sexual frequency, psychological health (anxiety; depression; well‐being; body image) and social adjustment (family function‐cohesion; social function‐total). In the subgroup analysis, it can adjust patients' relationship satisfaction (>3 months), sexual frequency (>3 months), depression (<3 months and >3 months), well‐being (>3 months), and body image (3 months). For intimate partners, no statistically significant overall effects were found, and all results in the subgroup analyses showed no statistical significance. Conclusions: The results revealed the different effects of couple‐based dyadic interventions on dyads. It also suggested that tailored intervention duration should be a focus in future studies to obtain the potential actor‐partner benefits. Impact: This study revealed that the overall effects of the couple‐based dyadic interventions include enhancing patients' sexual frequency, psychological health and social adjustment. Clinical practitioners should consider the intimate partners' outcomes and conduct couple‐based dyadic interventions that contain more tailored elements to achieve better effects. No Patient or Public Contribution: Registration: The systematic review and meta‐analysis of RCTs has been registered in PROSPERO (Number: CRD 42021286679). [ABSTRACT FROM AUTHOR]

Aim: This study aimed to explore the utility of latent profile analysis of illness perception, in comparison to treating illness perception as several dimensions, to predict breast cancer‐related lymphedema risk management behaviours among Chinese breast cancer patients. Methods: This is a 3‐month longitudinal study. From August 2019 to January 2021, patients who recently underwent breast cancer surgery including axillary lymphadenectomy were recruited. Illness perception and risk management behaviours were measured by breast cancer‐related lymphedema specific questionnaires before discharge following surgery (n = 268) and at 3 months postsurgery (n = 213), respectively. Results: Treating illness perception as several dimensions, 'illness coherence' and 'timeline (cyclical)' dimensions were found to be significantly associated with breast cancer‐related lymphedema risk management behaviours. Using the latent profile analysis, two illness perception profiles were identified and significant differences were revealed in breast cancer‐related lymphedema risk management behaviours between them. Overall, illness perception profiles explained smaller amounts of variability in breast cancer‐related lymphedema risk management behaviours than illness perception dimensions. Conclusion: Future studies could combine these two different perspectives of illness perception regarding breast cancer‐related lymphedema into the design of interventions to improve breast cancer‐related lymphedema risk management behaviours. Summary statement: What is already known about this topic? Risk management behaviours are essential to reduce the risk and severity of breast cancer‐related lymphedema (BCRL).Illness perception is a modifiable predictor of BCRL risk management behaviours.Traditional correlation or regression analysis treat illness perceptions as several isolated elements and make it difficult to synthesize our understanding of it. What this paper adds Treating illness perceptions as several isolated elements, illness coherence and timeline (cyclical) were main components predicting BCRL risk management behaviours.Treating illness perception as a whole, latent profile analysis assigned breast cancer patients into two distinct profiles with similar illness perception.Illness perception dimensions and illness perception profiles showed certain effects on predicting BCRL risk management behaviours. The implications of this paper This study adds our knowledge of illness perception regarding BCRL and its effect on predicting BCRL risk management behaviours.The two analysis approaches provided different perspectives on the design and implementation of future intervention. [ABSTRACT FROM AUTHOR]

Purpose: To describe medication adherence, to analyze the relationships among medication adherence, illness perception, and beliefs about medicines, and to determine the mediating effects of beliefs about medicines on the relationship in breast cancer patients with adjuvant endocrine therapy (AET) in China.Methods: A cross-sectional study was conducted on 202 breast cancer patients with AET from September 2017 to February 2019 in China. The Medication Adherence Report Scale (MARS-5), the Chinese version of the revised illness perception questionnaire for Breast Cancer (CIPQ-R-BC) and the Beliefs about Medicines Questionnaire (BMQ) were used.Results: The mean MARS-5 score of our participants was 23.72 (SD = 1.62), and 175 (86.6%) patients were adherent to medications. Moreover, medication adherence was negatively correlated with identity, environmental or immune factors, emotional representations, BMQ-specific concerns, BMQ-general overuse, and BMQ-general harm, as well as being positively correlated with coherence and the total BMQ scores. Furthermore, beliefs in the overuse about medicines functioned as mediators for the influencing effects of coherence and emotional representations on medication adherence.Conclusion: Illness perception not only directly affected medication adherence, but also indirectly affected medication adherence through the beliefs about medicines. Necessary interventions that target beliefs in the overuse about medicines in breast cancer patients with AET with low levels of coherence or high levels of emotional representations could be provided to improve the level of their medication adherence. [ABSTRACT FROM AUTHOR]

Purpose: To determine the effectiveness of mobile health-based self-management interventions on medical/behavioral, role, and emotional management in breast cancer patients. Methods: The Embase, MEDLINE, SINOMED, the Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), WanFang, and Weipu (VIP) databases were extensively searched from inception to November 30, 2020, to identify eligible clinical trials. Outcomes included medical/behavioral management (self-management behavior, functional exercise compliance, self-efficacy, complications, and symptoms), role management (role functioning), and emotional management (anxiety and depression), social support, and health-related quality of life. Results: Twenty-four studies were included in this meta-analysis. The results of the meta-analysis indicated that mobile health-based self-management interventions could potentially improve breast cancer patients' self-management behavior, functional exercise compliance (WMD = 15.80, 95% CI = 10.53 to 21.08, P < 0.001), self-efficacy (SMD = 1.22, 95% CI = 0.57 to 1.87, P < 0.001), and health-related quality of life (SMD = 0.78, 95% CI = 0.44 to 1.12, P < 0.001); reduce the incidence of lymphedema (RR = 0.20, 95% CI = 0.15 to 0.26, P < 0.001); and relieve the level of anxiety (SMD = − 0.67, 95% CI = − 0.99 to − 0.35, P < 0.001). However, patients assigned to the mobile health group and the conventional care group did not differ significantly in symptom relief (including pain and fatigue), role functioning, depression, or social support (all P ≥ 0.05). Conclusion: Mobile health–based self-management interventions can potentially facilitate the self-management and health-related quality of life of breast cancer patients. [ABSTRACT FROM AUTHOR]

To identify longitudinal trajectories of illness perception (IP) regarding breast cancer-related lymphedema (BCRL) in the first six months after surgery among women with breast cancer and to explore the predictive effects of demographics and clinical factors on IP trajectories. From August 2019 to August 2021, a total of 352 patients participated in this study, 328 of whom were included in the data analysis. Demographic and clinical characteristics were collected at baseline (1–3 days after surgery). The BCRL-specific revised illness perception questionnaire was used to measure IP regarding BCRL at baseline and 1 month, 3 months and 6 months post-surgery. A multilevel model was conducted to analyze the data. Over the first six months post-surgery, the "timeline acute/chronic" and "illness coherence" dimensions showed positive growth trajectories; the "personal control" and "treatment control" dimensions presented negative growth trajectories; and the trajectories of identity, consequences, cyclicality and emotional influence perceptions regarding BCRL showed no significant changes. Age, education level, marital status, employment status, family monthly income per person, cancer stage and status of removed lymph nodes were indicated to be predictive factors of IP trajectories. The present study determined significant changes over the first six months post-surgery in four IP dimensions and predictive effects of some demographics and clinical details on IP trajectories. These findings may help healthcare providers know more about the dynamic characteristics of IPs regarding BCRL in patients with breast cancer and assist them in identifying patients with a tendency toward improper IP regarding BCRL. • Illness perception is a modifiable factor related to lymphedema management. • Control beliefs about lymphedema decline gradually in women with breast cancer. • Perceptions of chronicity and coherence for lymphedema increase over time. • Demographic and clinical details can help identify illness perception trajectories. [ABSTRACT FROM AUTHOR]