Occupational Epidemiology/Clinical data monitoring and occupational risk indicators

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Study 1 Monitoring of clinical data[edit]

The aim is to contribute to the prevention of occupational diseases among seafarers, fishermen and other professions. Method: registration of clinical data and work-anamnesis, from new health examinations prospectively. To be completed on the phone together with the patient. All answers are kept in Excel format with the ID and the answers can also be printed out in Pdf or paper. Summary data are analysed without names and with no personal identification, so that all information is kept strong confidential.

Google Forms Monitoring of clinical data and occupational health[edit]

Steps for completion of the research project:[edit]

Tareas Start date End date Notes
1. Complete the research course 1Electronic research tools 1 Start date End date Notes
1. Complete the research course How to start and complete research projects Start date End date Notes
2. Search literature Start date End date Notes
3, Drafting the research protocol with search and review of the literature Start date End date STROBE_checklist_cross-sectional-Espanol.doc?dl=0 Entrevista estudio pautas
4. Data collection Start date End date Notes
5. Analysis of the data Start date End date Notes
6. Drafting article and abstract in the IMRAD-structuree Start date End date Notes
7. Keep references mainly peer-reviewed articles Start date End date Notes
8. Publication the "School Journal" or an indexed scientific journal Start date End date Notes
9. Presentation at conferences Start date End date Notes

RECORD Checklist English [edit]

Routine data recorded[edit]

Research project meetings[edit]

Study 2[edit]

Clinical data monitoring and indicators for repatriation program[edit]

Objectives[edit]

  1. To monitor trends of the clinical data and lab values from the routine health examinations BMI, pre-hypertension, pre-diabetes etc in the seafaring population
  2. To study which are the major etiological, predictive variables that can reduce the number of repatriations.

In case of illness, the seafarers are repatriated and very little is known how to reduce the number of these repatriations. The research question is to identify clinical indicators with high predictive value for +/- repatriation, including mental health problems.