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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]

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]

Aim: The aims of the present study are to describe the status of self-management behaviors and illness perception, and explore the relationship between illness perception and self-management behaviors among Chinese diabetic foot patients., Methods: A cross-sectional study was conducted at the endocrinology department of a comprehensive tertiary hospital in Guangzhou, China. Data were collected on illness perception, self-management behaviors, and demographic and clinical characteristics over 9 months among 156 subjects. Data were analyzed using Pearson correlation analysis, univariate analysis and multiple linear regression analysis., Results: Only 3.2% of participants maintained excellent self-management behaviors. Additionally, the participants perceived diabetic foot as chronic and could be well controlled through treatment. Multiple linear regression analysis revealed that illness perception was associated with self-management behaviors., Conclusions: Patient illness perception is an important factor influencing self-management behaviors. It may be helpful to improve self-management behaviors by tailoring the content of the intervention to fit the patients' illness perceptions., (© 2023 Japan Academy of Nursing Science.)