Task, type of data and analysis plan in EQUIPT
| Task | Data/collection methods | Analysis |
|---|---|---|
| 1. Comparative assessment of contexts in which tobacco sits in sample countries | Desk reviews of literature (QL) Survey data (QN) Model input parameters (QN) | Narrative literature analysis Statistical analysis Expert review of evidence |
| 2. Needs assessment to inform how differential contexts demand the most appropriate approach to ROI tool development and usage of the tool | Stakeholder interviews (QL/QN) Stakeholder consensus meetings (QL) | Statistical analysis on the intention to use, complemented by content analysis Ranking exercise and qualitative assessment |
| 3. Development of core components and country-specific components (local models) of the ROI tool | Economic modelling (QN) Quality checks and validation (QL/QN) User-interface (QN) | Deterministic and probabilistic sensitivity analysis Validation checklist Visual basic programming |
| 4. CER, based on local ROI models, to identify key determinants of policy decisions | Data based on the outcomes of probabilistic sensitivity analysis ROI values for each country | Regression-based ‘importance’ analysis Comparative (statistical) analysis |
| 5. Drawing policy recommendations | Stakeholder workshops to contextualisation of research findings (QL) | Ranking exercise and qualitative assessment |
| 6. Testing of transferable policy recommendations | Additional data from out-of-sample countries (QN/QL) | Reanalysis of ROI metrics based on ‘out-of-sample’ data |
| 7. Assessing the most-preferred method for communicating findings | Online survey (QL/QN) | Descriptive statistics, ranking and qualitative assessment |
CER, Comparative effectiveness research; QL, qualitative; QN, quantitative; ROI, Return on Investment.