Table 1

Task, type of data and analysis plan in EQUIPT

TaskData/collection methodsAnalysis
1. Comparative assessment of contexts in which tobacco sits in sample countriesDesk 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 toolStakeholder 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 toolEconomic 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 decisionsData based on the outcomes of probabilistic sensitivity analysis ROI values for each countryRegression-based ‘importance’ analysis
Comparative (statistical) analysis
5. Drawing policy recommendationsStakeholder workshops to contextualisation of research findings (QL)Ranking exercise and qualitative assessment
6. Testing of transferable policy recommendationsAdditional 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 findingsOnline survey (QL/QN)Descriptive statistics, ranking and qualitative assessment
  • CER, Comparative effectiveness research; QL, qualitative; QN, quantitative; ROI, Return on Investment.