Evaluation of decompression safety in an occupational diving group using self reported diving exposure and health status.
BACKGROUND
Many occupational diving groups have substantially different diving patterns to those for which decompression schedules are validated.


OBJECTIVE
To evaluate tuna farm occupational diving practice against existing decompression models and describe a method for collecting and modelling self reported field decompression data.


METHODS
Machine readable objective depth/time profiles were obtained from depth/time recorders worn by tuna farm occupational divers. Divers' health status was measured at the end of each working day using a self administered health survey that produces an interval diver health score (DHS) with possible values ranging from 0 to 30. Depth/time profiles were analysed according to existing decompression models. The contribution of diving exposure and between diver variability to DHS was evaluated using linear regression.


RESULTS
The mean risk of decompression sickness was calculated as 0.005 (SD 0.003, n = 383). The mean DHS following diving was 3 (SD 2, n = 383) and following non-diving activities was 1 (SD 1, n = 41). After accounting for between diver variability in intercept, DHS was found to increase one unit for every 1% increase in the risk of decompression sickness.


CONCLUSIONS
A method has been established for the collection and analysis of self reported objective decompression data from occupational diving groups that can potentially be used as the basis for development of purpose designed occupational diving decompression schedules.
Doolette
D J
DJ
Anaesthesia & Intensive Care, The University of Adelaide, Australia. David.Doolette@adelaide.edu.au
Gorman
D F
DF
D003664:Decompression / Q000009:adverse effects* / Q000592:standards; D003665:Decompression Sickness / Q000517:prevention & control*; D004242:Diving / Q000009:adverse effects*; D004869:Equipment Safety; D005398:Fisheries; D006304:Health Status; D006801:Humans; D009784:Occupational Diseases / Q000517:prevention & control*; D011364:Professional Practice; D011446:Prospective Studies; D012044:Regression Analysis; D012307:Risk Factors; D012449:Safety