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Nurses' blame attributions towards different types of cancer: A cross-sectional study
Linda Dong-Ling Wang1, Liying Zhan2, Jingyu Zhang3
1School of Public Health, The University of Hong Kong, 5/F William Mong Block, 21 Sassoon Road, Hong Kong; Department of Anesthesiology, The Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University, 268 College Road, Lucheng District, Wenzhou City, Zhejiang, China.
Background:
Public health education increasingly emphasizes the link of personal lifestyle with cancer risk, which may result in unintended negative social effects such as triggering stigma and/or blame towards cancer patients when their illness is perceived to be caused by personal behaviours or disapproved lifestyles.
Objectives:
To explore nurses' blame attributions towards patients with different types of cancer and to identify associated factors.
Design:
Cross-sectional survey.
Setting:
A tertiary cancer-specialized hospital in Beijing.
Participants:
317 Chinese oncology nurses working in the cancer hospital.
Methods:
Participant nurses completed a self-administrated anonymous questionnaire and rated how much they would blame someone with a diagnosis of breast cancer, cervical cancer, colon cancer, liver cancer, lung cancer, as well as leukaemia and obesity.
Results:
More than half of the oncology nurses (57.1%) attributed at least some blame to patients with leukaemia, following with breast cancer (67.5%), cervical cancer (79.2%), liver cancer (79.2%), and colon cancer (78.5%). Lung cancer patients attracted at least some blame by 82.0% of participating nurses. Attributions of blame for patients with lung, cervical, colon and liver cancer were most common among nurses with shorter working experience.
Conclusions:
This study demonstrated that a high proportion of Chinese nurses attributed at least some blame to patients with different cancers despite being working in a cancer-specialized hospital. Future education and support for nurses are essential to avoid negative attitudes and blame attributions to cancer patients in order to enhance the quality of care.
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