The stigma in patients with breast cancer: A concept analysis

Wu, Jieming; Zeng, Ni; Wang, Liping; Yao, Liyan

doi:10.1016/j.apjon.2023.100293

Cited by 3 publications

(1 citation statement)

References 28 publications

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“…Female breast cancer is the second leading cause of global cancer incidence in 2022, with an estimated 2.3 million new cases, representing 11.6% of all cancer cases [ 1 ]. Due to surgical trauma, side effects of drugs, fear of the recurrence or metastasis of breast cancer, changes in female characteristics, and lack of knowledge, patients with breast cancer frequently experience a series of physical and psychological health problems [ 2 – 6 ]. These health problems seriously affected patients’ life and work [ 7 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

Multi-stage optimization strategy based on contextual analysis to create M-health components for case management model in breast cancer transitional care: the CMBM study as an example

Chengang,

Liping,

Shujin

et al. 2024

BMC Nurs

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Background None of the early M-Health applications are designed for case management care services. This study aims to describe the process of developing a M-health component for the case management model in breast cancer transitional care and to highlight methods for solving the common obstacles faced during the application of M-health nursing service. Methods We followed a four-step process: (a) Forming a cross-functional interdisciplinary development team containing two sub-teams, one for content development and the other for software development. (b) Applying self-management theory as the theoretical framework to develop the M-health application, using contextual analysis to gain a comprehensive understanding of the case management needs of oncology nursing specialists and the supportive care needs of out-of-hospital breast cancer patients. We validated the preliminary concepts of the framework and functionality of the M-health application through multiple interdisciplinary team discussions. (c) Adopting a multi-stage optimization strategy consisting of three progressive stages: screening, refining, and confirmation to develop and continually improve the WeChat mini-programs. (d) Following the user-centered principle throughout the development process and involving oncology nursing specialists and breast cancer patients at every stage. Results Through a continuous, iterative development process and rigorous testing, we have developed patient-end and nurse-end program for breast cancer case management. The patient-end program contains four functional modules: “Information”, “Interaction”, “Management”, and “My”, while the nurse-end program includes three functional modules: “Consultation”, “Management”, and “My”. The patient-end program scored 78.75 on the System Usability Scale and showed a 100% task passing rate, indicating that the programs were easy to use. Conclusions Based on the contextual analysis, multi-stage optimization strategy, and interdisciplinary team work, a WeChat mini-program has been developed tailored to the requirements of the nurses and patients. This approach leverages the expertise of professionals from multiple disciplines to create effective and evidence-based solutions that can improve patient outcomes and quality of care.

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Section: Introductionmentioning

confidence: 99%

Multi-stage optimization strategy based on contextual analysis to create M-health components for case management model in breast cancer transitional care: the CMBM study as an example

Chengang,

Liping,

Shujin

et al. 2024

BMC Nurs

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Effect of Behavioral Activation on Stigma and Quality of Life in Patients With Advanced Esophageal and Gastric Cancer: A Randomized Controlled Trial

Huang,

Ge,

Nie

et al. 2024

Psycho-Oncology

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BackgroundEsophageal cancer and gastric cancer patients require researchers' attention to address and resolve the issue of stigma. The aim of this study was to investigate whether behavioral activation (BA), an emerging psychosocial intervention method, can mitigate the stigma experienced by these patients and enhance their quality of life (QoL).MethodsOne hundred fifty‐three patients with advanced esophageal cancer and gastric cancer were recruited and randomly assigned to either the BA plus care as usual group (BA + CAU group) or the care as usual group (CAU group). Pre‐ and post‐intervention questionnaires, including the Social Impact Scale (SIS), as well as all functional areas and global health and QoL modules from the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ‐C30, version3).ResultsGeneralized estimating equation analysis revealed that compared to usual care alone, combining BA with usual care significantly reduced stigma (time‐by‐group interaction, T1: β = −10.584, p < 0.001; T2: β = −22.619, p < 0.001) while improving physical, role, emotional, social functioning and global health and QoL particularly at T2 time point. Additionally, it also has the potential to decelerate the progressive decline of cognitive functioning. Furthermore, correlation analysis demonstrated a significant association between stigma levels and all functional areas as well as global health and QoL.ConclusionThe issue of stigma among esophageal cancer and gastric cancer patients warrants increased attention due to its close relationship with patient QoL. This study presents a promising psychosocial intervention approach suitable for clinical application that deserves further promotion among cancer patients.Trial RegistrationNCT06348940.

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Impact of psychological resilience and social support on psycho-social adjustment in postoperative patients with primary hepatocellular carcinoma: mediating effects of fear of progression

Li,

Yu,

et al. 2024

Front. Psychol.

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BackgroundPostoperative patients with primary hepatocellular carcinoma (HCC) confront not only physiological challenges but also psychological and social adaptation issues. It is imperative to enhance psycho-social adjustment (PSA) levels and further improve the quality of life among this population. However, research on PSA levels in postoperative HCC patients is lacking, and investigations into its associations with psychological resilience, social support, and fear of progression (FoP) remain unexplored currently.ObjectivesThis study aims to: (1) investigate the current status of PSA and analyze its influencing factors among postoperative HCC patients; (2) explore the interrelationships among psychological resilience, social support, FoP and PSA based on the Chronic Illness Adaptation Model employing a structural equation model.MethodsConvenience sampling methods were employed to recruit participants from the Department of Hepatobiliary Surgery at a tertiary hospital in Xi’an, Shaanxi, China, and a total of 399 patients completed the surveys. The survey instruments included a general information questionnaire, Connor-Davidson Resilience Scale (CD-RISC), Social Support Rating Scale (SSRS), Fear of Progression Questionnaire-Short Form (FoP-Q-SF), and Psychosocial Adjustment to Illness Scale Self-report (PAIS-SR). Data entry was conducted using Epidata 3.1 with dual verification, followed by statistical analyses performed using SPSS 27.0 and Amos 28.0.ResultsThe structural equation model revealed two paths. In Path 1 (psychological resilience → FoP → PSA), the direct effect was −0.383 (95% CI [−0.589, −0.112]), with an indirect effect of −0.075 (95% CI [−0.170, −0.018]). In Path 2 (social support → FoP → PSA), the direct effect was −0.297 (95% CI [−0.587, −0.063]), with an indirect effect of −0.069 (95% CI [−0.156, −0.019]).ConclusionPostoperative patients with primary HCC exhibit lower levels of PSA. Higher levels of psychological resilience and social support correspond to elevated PSA levels. Conversely, advanced age, greater financial burden, and increased FoP are associated with lower PSA levels. FoP serves as a partial mediator between psychological resilience and PSA, as well as between social support and PSA. Future research would benefit from longitudinal designs to elucidate the developmental trajectories and causal links among these variables.

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The stigma in patients with breast cancer: A concept analysis

Cited by 3 publications

References 28 publications

Multi-stage optimization strategy based on contextual analysis to create M-health components for case management model in breast cancer transitional care: the CMBM study as an example

Multi-stage optimization strategy based on contextual analysis to create M-health components for case management model in breast cancer transitional care: the CMBM study as an example

Effect of Behavioral Activation on Stigma and Quality of Life in Patients With Advanced Esophageal and Gastric Cancer: A Randomized Controlled Trial

Impact of psychological resilience and social support on psycho-social adjustment in postoperative patients with primary hepatocellular carcinoma: mediating effects of fear of progression

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