Data overview

This page describes the datasets used to inform the Sheffield Tobacco and Alcohol Policy Modelling. The data described includes evidence extracted from published literature and ‘derived model inputs’ that are calculated by processes that use the STAPM data and code.

The data is used for 1) understanding past trends, and 2) the projection of future trends to estimate the potential effects of new policy or interventions. This work is being conducted at a range of geographic scales, including national and local authority level.


Data in the Sheffield Centre for Health and Related Research (SCHARR) at the University of Sheffield is managed and processed according to the a ScHARR Information Governance Policy. Ethics approvals for the use of data for projects are obtained as necessary and each dataset has its own data management plan. The terms of the data sharing agreements with the data owners are followed.

Those who carried out the original collection and analysis of the data bear no responsibility for their further analysis or interpretation.

To keep track of the status of each dataset, a dataset information sheet documents the relevant information, including the location of key files and dates of key agreements and approvals (this is accessible only to the project team).


List of datasets


Health state utility values

To calculate change to Quality Adjusted Life Years (QALYs) requires: (1) an estimate of change to the number of years of life lived; (2) estimates of (a) the health state utility values associated with being in each of the 84 tobacco- or alcohol-related health states considered in STAPM, and (b) the utility value associated with not having any tobacco- or alcohol-related conditions. STAPM uses the methodology to estimate utility values that was developed to support the original Sheffield Alcohol Policy Model. See the methodology report that accompanies the qalyr R package.


Evidence extracted from published literature


Data checks

Data checks are explanations and visualisations of the data used to inform the modelling. They are useful to support understanding and quality assuring the data inputs.

Scotland

Understanding Society