Literature DB >> 18752818

Assessing melanoma risk factors: how closely do patients and doctors agree?

E Richtig1, E Santigli, R Fink-Puches, W Weger, R Hofmann-Wellenhof.   

Abstract

OBJECTIVES: Self-examination of the skin has been associated with a reduced risk of advanced melanoma, but self-assessment has corresponded imperfectly with clinical examination by a dermatologist, and shown only moderate accuracy in identifying individuals at risk. STUDY
DESIGN: Population-based screening campaign in Styria, Austria.
METHODS: One thousand two hundred and twenty-three Caucasians volunteered for a free skin assessment by a dermatologist. First, they answered a questionnaire in which they assessed their own melanoma risk factors, and they were subsequently examined by a dermatologist. Kappa agreements between the two assessments were calculated.
RESULTS: The overall kappa agreements on the estimated number of naevi, the assessment of skin phototype and the perception of increased melanoma risk were 0.34 [95% confidence interval (CI) 0.30-0.37], 0.28 (95%CI 0.24-0.32) and 0.24 (95% CI 0.18-0.30), respectively. Kappa agreements below 0.40 are considered poor. Stratification by age and gender revealed slightly higher scores for subgroups on single items.
CONCLUSIONS: Screening for melanoma should be population based and should not be limited to self-referrals since self-assessment for melanoma risk factors is inaccurate. Educational programmes must be developed to improve self-assessment and to target populations at risk.

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Year:  2008        PMID: 18752818     DOI: 10.1016/j.puhe.2008.04.012

Source DB:  PubMed          Journal:  Public Health        ISSN: 0033-3506            Impact factor:   2.427


  1 in total

1.  Accuracy of self-reported nevus and pigmentation phenotype compared with clinical assessment in a population-based study of young Australian adults.

Authors:  Anne E Cust; Kristen M Pickles; Chris Goumas; Thao Vu; Helen Schmid; Eduardo Nagore; John Kelly; Joanne F Aitken; Graham G Giles; John L Hopper; Mark A Jenkins; Graham J Mann
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2015-01-27       Impact factor: 4.254

  1 in total

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