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Query: UMLS:C0684249 (lung carcinoma)
 23,830 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Lung cancer stigma is an important phenomenon experienced by many lung cancer patients that can be a barrier to medical help-seeking behavior. The purpose of this study was to shorten the Cataldo Lung Cancer Stigma Scale (CLCSS). The original 31-item scale had excellent internal consistency reliability but item redundancy. The majority of lung cancer patients are diagnosed at an advanced stage, and patient burden with survey completion may be higher in this population. To reduce patient burden with participation in lung cancer stigma-related research, a psychometrically sound short measure of lung cancer stigma is valuable. Factor analysis was used to evaluate the dimensionality of the CLCSS. Results were used to shorten the measure to 21 items. The shortened scale showed strong evidence of internal consistency reliability (Cronbach's alpha =.93). Results also indicate the scale is three dimensional with reliable subscales: stigma and blame, social isolation, and discrimination.
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PMID:Development of a short version of the Cataldo Lung Cancer Stigma Scale. 2515 91

People with lung cancer and others affected by the condition are using social media to share information and support, but little is known about how these behaviours vary between different platforms. To investigate this, we extracted posts from Twitter (using relevant hashtags), the Lung Cancer Support Group on Facebook and the Macmillan.org.uk lung cancer discussion forum for a single month. Interaction Process Analysis revealed that all three platforms were used more for giving than seeking information, opinion or suggestions. However, interaction types (including sentiment) varied between platforms, reflecting their digital architectures, user-base and inclusion of a moderator. For example, a higher percentage of information-seeking and sentiment marked the Macmillan.org.uk, compared with Twitter and the Facebook Group. Further analysis of the messages using a four-dimensional typology of social support revealed that emotional and informational support types were most prevalent on the Macmillan.org.uk forum, closely followed by the Facebook Group. Contrary to expectations, Twitter posts showed the most companionship support, reflecting the use of hashtags as user-generated signals of community belonging and interests. Qualitative analysis revealed an unanticipated sub-category of spiritual support, which featured uniquely in the Lung Cancer Support Group on Facebook. There was little evidence of trolling or stigma, although some users remarked that lung cancer was unfairly resourced compared with other cancers. These findings provide new insights about how people affected by lung cancer use social media and begin to elucidate the value of different platforms as channels for patient engagement and support, or as potential research data sources.
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PMID:The social dynamics of lung cancer talk on Twitter, Facebook and Macmillan.org.uk. 3130 97