A self-report questionnaire to detect hand dermatitis in nurses.

Occup Med (Lond)

Occupational Health Service, Guy's and St Thomas' NHS Foundation Trust/Faculty of Life Sciences and Medicine, King's College London, London, UK.

Published: December 2020

Background: Hand dermatitis is highly prevalent among nurses due to their frequent exposure to wet work. Providing cost-effective dermatological health surveillance for this occupational group presents a challenge to health service providers.

Aims: To ascertain the predictive value of nurses' self-assessment of whether they had current hand dermatitis using a screening questionnaire when compared with the assessment made by a dermatologist of the nurses' hand photographs.

Methods: We conducted a cross-sectional study comparing the self-report decision made by student and intensive care nurses using a single hand dermatitis screening question with the clinical assessment of their hand photographs made by dermatologists using a standardized photographic guide.

Results: We analysed data collected at study baseline (n = 1599). The results showed that the screening question had a high negative predictive value (91%; 95% CI 89-93), but a low positive predictive value (39%; 95% CI 34-45). It demonstrated acceptable accuracy in distinguishing those with and without the disease (area under the receiver operator curve = 0.7) and had a high specificity (86%; 95% CI 84-88) but a sensitivity of only 52% (95% CI 46-59) in identifying hand dermatitis.

Conclusions: We found that nurses were able to accurately self-assess themselves as not having any signs of hand dermatitis. By contrast, they were less able to accurately self-assess positive cases suggesting under-recognition of early disease. We propose that a questionnaire containing a single hand dermatitis screening question should be considered as a tool for screening out clear cases as part of a workplace health surveillance programme for detecting hand dermatitis.

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http://dx.doi.org/10.1093/occmed/kqaa188DOI Listing

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