Table 2.
Resources to solve a health care problem
| Total | Never/rarely | Often/very often | p-value* | ||
|---|---|---|---|---|---|
| Resources | n | % | % | ||
| Colleagues | Before: | 173 | 3 % | 79 % | |
| After: | 172 | 2 % | 65 % | 0.0002 | |
| Internet resources, e.g., PubMed, Google | Before: | 170 | 15 % | 56 % | |
| After: | 174 | 1 % | 85 % | <0.0001 | |
| Textbooks | Before: | 173 | 13 % | 48 % | |
| After: | 171 | 36 % | 23 % | <0.0001 | |
| Journals (original research reports and review articles) | Before: | 172 | 22 % | 44 % | |
| After: | 171 | 5 % | 69 % | <0.0001 | |
| Electronic resources, computer databases available from the Hospital/University library | Before: | 171 | 64 % | 20 % | |
| After: | 172 | 9 % | 62 % | <0.0001 | |
| Secondary journals and Clinical Practice Guidelines, e.g., Cochrane, Clinical Evidence, EBM-Guidelines, Up To Date | Before: | 170 | 73 % | 5 % | |
| After: | 174 | 4 % | 76 % | <0.0001 | |
Distribution of responses before and after training to the survey questions ”What types of resource do you use /do you think you will use to solve a specific health care problem?” *Wilcoxon test for matched pairs – comparison of the values before and after the training