Wikiversity

Occupational Epidemiology/Clinical data monitoring and occupational risk indicators/Clinical data monitoring and indicators for repatriation program

< Occupational Epidemiology‎ | Clinical data monitoring and occupational risk indicators

The research questions

edit
  1. How is the development over time of the clinical data values ?
  2. Are there any valid clinical indicators to be used for preventing repatriation? [1]

Objectives

edit
  1. To monitor and evaluate the basic clinical data from the health examinations
  2. To find clinical tests with high sensitivity and predictive value for +/- being repatriated

Project methodology

edit
  1. Cross-sectional study with prevalence of the clinical data over years for trends (a)
  2. 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
  1. Samples of clinical data from the health examinations in many clinics
  2. Samples of repatriated seafarers as the cases and non-repatriated seafarers as the controls

Hypotheses

edit
  1. < 40 BMI is not a risk for repatriation
  2. Prediabetes and prehypertension either
  3. No specific "extra" lab test predict repatriation

References

edit
  1. ↑ 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.
Retrieved from "https://en.wikiversity.org/w/index.php?title=Occupational_Epidemiology/Clinical_data_monitoring_and_occupational_risk_indicators/Clinical_data_monitoring_and_indicators_for_repatriation_program&oldid=1986281"