Table 2 Top five statements, rated in terms of how important a it would be for the INTREC training program to provide instruction to the topic referred to in the statement (African participants, Asian participants, all participants)
Statement number (corresponds to list in Additional file 1) | Statement (topic) | Average importance score |
|---|---|---|
African researchers | ||
23 | Indicators to measure, analyse and evaluate (the dynamics of) health inequalities in different contexts | 4.47 |
24 | Translating research into policy: how to package lessons learned from research projects into policy messages | 4.40 |
29 | Methods for measuring/studying health inequalities | 4.37 |
20 | Analysis of longitudinal data | 4.33 |
6 | Health systems influencing health (in)equalities | 4.23 |
Asian researchers | ||
1 | Evidence on causes of health inequalities in my country | 4.50 |
24 | Translating research into policy: how to package lessons learned from research projects into policy messages | 4.42 |
20 | Analysis of longitudinal data | 4.33 |
35 | Monitoring and evaluation methods | 4.33 |
22 | Public health and public health interventions in the community | 4.25 |
All researchers | ||
20 | Analysis of longitudinal data | 4.39 |
24 | Translating research into policy: how to package lessons learned from research projects into policy messages | 4.39 |
23 | Indicators to measure, analyse and evaluate (the dynamics of) health inequalities in different contexts | 4.37 |
29 | Methods for measuring/studying health inequalities | 4.24 |
22 | Public health and public health interventions in the community | 4.22 |