21/37 Application Development Award - Core outcome data sets for population health research
- For help with your application contact email@example.com
- For more information about the funding Programme, visit the PHR Page
- Tips for success in applying
- Word version of the stage 2 application form*
- MRC Public Health Intervention Development Scheme (PHIND)
*Please note: This document is to be used as a guide and to assist with completion of the on-line application form only, for example to see how many characters are accepted in each section and how the printed complete form is laid out. Please do not try to use this as an application form, you must apply using the online form available through the links available when calls are open. You should also refer to the application form guidance notes which can be found next to the ‘Apply Now’ button.
The Public Health Research (PHR) Programme is accepting stage 2 applications to this Application Development Award - Core outcome data sets in population health research (with a focus on wider determinants).
In order to apply you will need to carefully review the:
This funding opportunity is for applications of up to £50,000 over a maximum of six months. The aim of this Application Development Award scheme is to provide funding for underpinning development work that will add to the current knowledge base and will ultimately support and inform applications to a future funding call aimed at developing core outcome datasets. The Programme is only interested in core outcome datasets for research on the wider determinants of health.
- Methods of, and processes for, developing core outcome data sets for population health research on the wider determinants.
- Identification of stakeholders that need to be involved so that the outcomes included are relevant to policy and decision makers (applicants are encouraged here to consider both health and non-health sector stakeholders).
- Methods for identifying and prioritising those wider determinants whose research could most benefit from the development of core outcome datasets.
- Assessing the scope for indicators of inequality / disadvantage to be built into such datasets.