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Table 1 Checklist of items to include when reporting a mapping study

From: Preferred reporting items for studies mapping onto preference-based outcome measures: The MAPS statement

Section/topic Item number Recommendation Reported on page number/line number
Title and abstract
 Title 1 Identify the report as a study mapping between outcome measures. State the source measure(s) and generic, preference-based target measure(s) used in the study. _____________
 Abstract 2 Provide a structured abstract including, as applicable: objectives; methods, including data sources and their key characteristics, outcome measures used and estimation and validation strategies; results, including indicators of model performance; conclusions; and implications of key findings. _____________
Introduction
 Study rationale 3 Describe the rationale for the mapping study in the context of the broader evidence base. _____________
 Study objective 4 Specify the research question with reference to the source and target measures used and the disease or population context of the study. _____________
Methods    
 Estimation sample 5 Describe how the estimation sample was identified, why it was selected, the methods of recruitment and data collection, and its location(s) or setting(s). _____________
 External validation sample 6 If an external validation sample was used, the rationale for selection, the methods of recruitment and data collection, and its location(s) or setting(s) should be described. ____________
 Source and target measures 7 Describe the source and target measures and the methods by which they were applied in the mapping study. _____________
 Exploratory data analysis 8 Describe the methods used to assess the degree of conceptual overlap between the source and target measures. _____________
 Missing data 9 State how much data were missing and how missing data were handled in the sample(s) used for the analyses. _____________
 Modelling approaches 10 Describe and justify the statistical model(s) used to develop the mapping algorithm. _____________
 Estimation of predicted scores or utilities 11 Describe how predicted scores or utilities are estimated for each model specification. _____________
 Validation methods 12 Describe and justify the methods used to validate the mapping algorithm. _____________
 Measures of model performance 13 State and justify the measure(s) of model performance that determine the choice of the preferred model(s) and describe how these measures were estimated and applied. _____________
Results
 Final sample size(s) 14 State the size of the estimation sample and any validation sample(s) used in the analyses (including both number of individuals and number of observations). _____________
 Descriptive information 15 Describe the characteristics of individuals in the sample(s) (or refer back to previous publications giving such information). Provide summary scores for source and target measures, and summarise results of analyses used to assess overlap between the source and target measures. _____________
 Model selection 16 State which model(s) is(are) preferred and justify why this(these) model(s) was(were) chosen. _____________
 Model coefficients 17 Provide all model coefficients and standard errors for the selected model(s). Provide clear guidance on how a user can calculate utility scores based on the outputs of the selected model(s). _____________
 Uncertainty 18 Report information that enables users to estimate standard errors around mean utility predictions and individual-level variability. _____________
 Model performance and face validity 19 Present results of model performance, such as measures of prediction accuracy and fit statistics for the selected model(s) in a table or in the text. Provide an assessment of face validity of the selected model(s). _____________
Discussion
 Comparisons with previous studies 20 Report details of previously published studies developing mapping algorithms between the same source and target measures and describe differences between the algorithms, in terms of model performance, predictions and coefficients, if applicable. _____________
 Study limitations 21 Outline the potential limitations of the mapping algorithm. _____________
 Scope of applications 22 Outline the clinical and research settings in which the mapping algorithm could be used. _____________
Other
 Additional information 23 Describe the source(s) of funding and non-monetary support for the study, and the role of the funder(s) in its design, conduct and report. Report any conflicts of interest surrounding the roles of authors and funders. _____________