Occupational Epidemiology/Clinical data monitoring and indicators for repatriation program
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The research questions
[edit | edit source]- How is the development over time of the clinical data values ?
- Are there any valid clinical indicators to be used for preventing repatriation? [1]
Objectives
[edit | edit source]- To monitor and evaluate the basic clinical data from the health examinations
- To find clinical tests with high sensitivity and predictive value for +/- being repatriated
Project methodology
[edit | edit source]- Cross-sectional study with prevalence of the clinical data over years for trends (a)
- Case-control study with logistic regression analysis
a) Google Forms program has to be developed for clinics without a dataprogram. This program can be of benefit in the future for all clinics. The first step is to describe all the variables in Word.
The study populations
[edit | edit source]- Samples of clinical data from the health examinations in many clinics
- Samples of repatriated seafarers as the cases and non-repatriated seafarers as the controls
Hypotheses
[edit | edit source]- < 40 BMI is not a risk for repatriation
- Prediabetes and prehypertension either
- No specific "extra" lab test predict repatriation
References
[edit | edit source]- ↑ Lefkowitz RY, Slade MD, Redlich CA. Risk factors for merchant seafarer repatriation due to injury or illness at sea. International Maritime Health. 2015;66(2):61–6.