Nurses’ blame attributions towards different types of cancer: A cross-sectional study
Section snippets
Background
It is estimated that 65% of all cancers are attributable to modifiable lifestyle factors (American Cancer Society, 2013). Recent decades, public health education increasingly emphasizes the link of personal lifestyle factors 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 (particularly disapproved) lifestyles (Chapple et al., 2004, Lebel
Study setting and sample
This study was performed in a territory cancer hospital located in Beijing, which is a renowned cancer centre in China devoted exclusively to cancer care, cancer education, cancer research, and cancer prevention. Total 320 nurses from different departments of the cancer hospital voluntarily completed a structured self-administered questionnaire in September 2014. Three respondents who completed only half of the questionnaire were excluded from the analysis. The effective response rate was 99.1%
Participants characteristics
Table 1 presents the characteristics of participants. The vast majority of participants were females (99.1%) and had associate degree or higher educational attainment (97.5%). More than half of all participants were married (51.3%) and aged less than 30 years (56.9%). Moreover, 23.3% of the participants had family history of cancer. Five (1.6%) participants reported that they have ever been diagnosed with tumour including breast fibroma (1), thyroid tumour (3), and trichoblastoma (1). The
Discussion
To the best of our knowledge, the present study is the first study exploring blame attributions across different cancer types in Chinese population with data collected from a sample of clinical nurses working in a territory cancer hospital. Compared to Marlow et al.’s findings (Marlow et al., 2010), the general pattern of blame attribution variation among selected cancers is similar in that lung cancer patients attracted the highest blame (support our Hypothesis 1) and leukaemia patients was
Acknowledgements
We would like to thank the staffs of the cancer hospital for their participation in this study.
Conflict of interest: The authors declare that there are no conflicts of interest.
Funding: This study did not receive grant support.
Ethical approval: Ethical approval was obtained from the hospital where data collected.
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These authors contribute equally to this study.