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To establish a supportive care framework for addressing unmet needs among breast cancer survivors, providing practical guidance for healthcare providers to assess and manage these needs, ultimately enhancing the health outcomes and quality of life of breast cancer survivors.
We conducted a two-round Delphi survey to gather expert opinions regarding the unmet needs supportive care framework for breast cancer survivors.
Initial framework identification and inquiry questionnaire creation was achieved via literature search and expert group discussions, which included 15 experts from nursing practice, clinical medicine, nursing management and nursing education was conducted using a Delphi survey. To establish consensus, a two-round Delphi poll was done, using criteria based on the mean (≥4.0), coefficient of variation (CV < 0.25) and percentage for entire score (≥20%).
Experts reached a consensus, leading to six care modules, and 28 care entries: Tumour Detection Support (three care entries), Management of Complications of Antitumor Therapy (seven care entries), Healthy Lifestyle Management (five care entries), Sexual and Fertility Support (four care entries), Psychosocial Support (four care entries) and Resource and Linkage Support (five care entries).
To address breast cancer survivors' unmet needs, a supportive framework was developed to actively enhance their health outcomes. However, further refinement and feasibility testing using mobile devices or artificial intelligence are required.
This pioneering framework prioritises addressing unmet needs and equips healthcare providers to assess and manage these needs effectively, facilitating the implementation of programs aimed at improving the well-being of breast cancer survivors.
This study was guided by a modified guideline for the Conducting and Reporting of Delphi Studies (CREDES) (Palliative Medicine, 31(8), 684, 2017).
No Patient or Public Contribution.
The Delphi study methodology does not require registration.
To investigate the impact of socio-demographic factors and job stressors on the emotional intelligence of psychiatric nurses.
Emotional intelligence plays a crucial role in enabling nurses to effectively manage their own emotions, comprehend the emotions of others and assist individuals in dealing with diverse stressors. Nevertheless, a comprehensive conceptualization of the relationship between job stressors and emotional intelligence remains lacking.
This study employs a multi-centre cross-sectional design.
A multi-centre cross-sectional survey involving 1083 registered nurses from 11 psychiatric hospitals across four provinces in China was conducted. Non-probability sampling was utilised. The survey encompassed assessments of nurse job stressors, emotional intelligence using a scale and socio-demographic characteristics using a questionnaire. A multiple linear regression model was applied to identify significant variables associated with emotional intelligence based on demographic attributes and various nurse job stressors. The study adhered to the STROBE checklist.
The findings revealed a noteworthy negative correlation between nurse job stressors and emotional intelligence. Socio-demographic factors and job stressors of certain nurses were able to predict emotional intelligence and its dimensions among psychiatric nurses, with percentages of 44.50%, 40.10%, 36.40%, 36.60% and 34.60%.
Providing emotional intelligence training for psychiatric nurses could enhance their capacity to cope effectively with workplace stress, particularly among younger nurses who engage in limited physical activities.
The analysis of the relationship between emotional intelligence and nurse job stressors could facilitate early detection and intervention by managers based on pertinent factors. This, in turn, could elevate the emotional intelligence level of psychiatric nurses.
This study did not recruit participants, so details of participants were not be involved.
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