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Table 2 Overview of data analysed for each results section

From: Decision makers’ experience of participatory dynamic simulation modelling: methods for public health policy

Results section

Analysis based on:

Pre-modelling interviews

Post-modelling interviews

DIP

DIP

Alcohol

Childhood Obesity

Pre-modelling perceptions of evidence use in decision making

X

   

Experiences of participatory modelling

 

X

X

X

Learning through participation

 

X

X

X

Experience of using dynamic simulation modelling to inform decision making

  

X

X

  1. DIP - Dynamic simulation modelling to inform the prevention and management of diabetes in pregnancy
  2. Alcohol - Dynamic simulation modelling to inform reductions of alcohol related harms
  3. Childhood Obesity - Dynamic simulation modelling to inform how best to reach the Premiers target for reducing childhood overweight and obesity
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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