Occupational Epidemiology/Clinical data monitoring and occupational risk indicators
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
- 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
- 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.