Data extraction, coding, and synthesis
To ensure accuracy and consistency of data extraction and coding at least 2 researchers extracted and coded data independently. Any disagreements in the processes of data selection and abstraction were resolved by the consensus method (searching for possible rating errors, followed by a discussion and arbitration by a third researcher) [17].
Descriptive data was extracted by one researcher (KH or MH) and then verified by the second researcher (AL). Extracted data included: (1) the descriptive characteristics of the original studies (e.g., participants, target behavior), synthesized in the analyzed reviews and stakeholders’ documents; (2) data necessary for quality evaluation. These descriptive characteristics and quality evaluations are presented in Additional file 1.
Next, the intervention and policy characteristics were extracted. Each document was searched for good practice characteristics. In particular, we retrieved the names of characteristics (as documented by authors of original documents) and their operationalization or definition (e.g., an explanation of the function of a characteristic within the context of development, implementation, and evaluation of policies and interventions). In case of systematic reviews these characteristic had to be included in the original analysis (as a significant determinant or as a moderator) as well as into original conclusions of the review. In case of stakeholders’ documents and position review papers, attributes of intervention/policies listed in the respective documents were coded as good practice characteristics if they were indicated as crucial for the development, implementation, and evaluation of any interventions or policies targeting healthy diet and physically active lifestyle
Data extraction, coding, and synthesis
To ensure accuracy and consistency of data extraction and coding at least 2 researchers extracted and coded data independently. Any disagreements in the processes of data selection and abstraction were resolved by the consensus method (searching for possible rating errors, followed by a discussion and arbitration by a third researcher) [17].
Descriptive data was extracted by one researcher (KH or MH) and then verified by the second researcher (AL). Extracted data included: (1) the descriptive characteristics of the original studies (e.g., participants, target behavior), synthesized in the analyzed reviews and stakeholders’ documents; (2) data necessary for quality evaluation. These descriptive characteristics and quality evaluations are presented in Additional file 1.
Next, the intervention and policy characteristics were extracted. Each document was searched for good practice characteristics. In particular, we retrieved the names of characteristics (as documented by authors of original documents) and their operationalization or definition (e.g., an explanation of the function of a characteristic within the context of development, implementation, and evaluation of policies and interventions). In case of systematic reviews these characteristic had to be included in the original analysis (as a significant determinant or as a moderator) as well as into original conclusions of the review. In case of stakeholders’ documents and position review papers, attributes of intervention/policies listed in the respective documents were coded as good practice characteristics if they were indicated as crucial for the development, implementation, and evaluation of any interventions or policies targeting healthy diet and physically active lifestyle
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