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START readme
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This file focuses more on the details of the data package. For 'administrative' metadata on this data,
please view the metadata file within the parent folder of this data package (where this readme file
is also found).


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## General
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+ Author(s): Laura H.H. Winkens; Arend Ligtenberg; Monique Simons.
+ Project: Measuring, analyzing and mapping environmental influences on (and changes in) spatial patterns: evidence for just-in-time adaptive interventions
+ Contact: laura.winkens@wur.nl

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## Title
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"Data underlying the development of a Just-In-Time Adaptive Intervention for healthy dietary changes"

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## Methods
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# Introduction

In the project 'Measuring, analyzing and mapping environmental influences on (and changes in) spatial patterns: evidence for Just-In-Time Adaptive Interventions' (ZonMw) we collected data on the initial and pre-use acceptance, engagement and usability of Just-In-Time Adaptive Interventions (JITAIs) in the food domain. These results were used in the development of our JITAI 'EetWijzer' targeting healthy dietary changes. 


This data package consists of data from different co-creation studies:

1) four focus groups in 14 participants of the general population;

2) one focus group in 6 participants with low literacy levels;

3) a questionnaire study in 137 participants from the general population;

4) a beta test with 23 users from the general population. They used the app for two weeks and answered questions at follow-up. 


Ethical approval for all studies was obtained from the Social Ethics Committee of the Wageningen University & Research.


# Measurements and data collection

Study 1 and 2) Due to Covid-19, focus groups were held online through Microsoft Teams. The focus groups were recorded and transcribed afterwards. The transcripts were analyzed using inductive thematic analysis. The Atlas.ti version 9.0.22 software was used to do the coding. Codes were attached to text segments and grouped afterwards into specific themes that captured the discussed items and were interesting in relation to the research questions. Coding was done by three persons and the attached codes were compared and discussed and adjusted if necessary.

Study 3) The questionnaire was administered through Qualtrics. See document 'Questionnaire JITAI preferences.pdf' for the questionnaire.

Study 4) The beta test was performed in the city of Wageningen, the Netherlands. Our EetWijzer app is available for Android phones in the google play store. After installing the app, participants created an account and choose a goal that they would like to work on, i.e., healthier snacking, eating less meat, or eating more vegetables and fruit. After creating an account, the app is activated and starts tracking the location of the user using GPS data collected by the smartphone of the participants when they are in the intervention geofence, i.e., the city Wageningen. Once activated, the app sends out a prompt to its user when the person enters a specific radius around a food outlet and when the person stays in this fence over a defined time threshold.  It also sends prompts at moments during the day related to the chosen goal, i.e., 11.00h, 15.00h, and 20.00h for the goal healthier snacking and at 12.00h and 17.00h for the goals of eating less meat and more vegetables and fruit. The prompts that were send at the visited locations and at the pre-specified times were based on preferences of end-users as indicated during the focus groups and questionnaire study and consisted of reminders of the chosen goal, suggestions for food to be consumed, and recipes. Based on the chosen goal and on location or time, a related prompt was randomly selected and send from a list of messages in the app. 


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## FolderStructure
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"There is only one parent directory present containing all files."

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## FolderContents
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- parent_folder/
Contains the following data:
1) the questionnare for the Qualtrics survey "Questionnaire JITAI preferences.pdf"
2) raw data on the Qualtrics survey "Questionnaire July 2021 JITAI preferences.csv"
3) summary of transcripts of focus groups "Transcripts focus groups.zip" 
4) summary of transcript of focus group low literacy "Transcript low literate group_summary.txt" 
5) Raw data of the follow-up questionnaire of the beta test "Follow up questionnaire beta test JITAI _2022.csv"
5) administrative document: README.txt

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## Software
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SoftwareRequired: 

No specific software required.

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## FileFormats
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+ .csv
+ .txt

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## CodeBook
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Please view codebook.csv (where this readme file is also found) for documentation of abbreviations, 
column names, datapoints, etc. The file codebook.csv uses the columns:

+ index = a number used to distinguish the different entries.
+ code = the abbreviation, variable / data / column name used.
+ used = location where the code is used. (filename, foldername, columnname, datapoint, protocol, etc.).
+ meaning = the literal meaning of the code. (e.g., fully written out abbreviation)
+ represents = what the code represents in terms of data or usage. (e.g., units of measurements, 
coding used,more in depth explanation)

Note that this file is ';' delimited. To avoid possible confusion and inconsistencies, sentences within 
cells do not contain reading symbols as comma's or semicolons. When required, separation within sections of
a sentence is made possible using the hashtag symbol (#). Example: The sex of an animal is described as
"m = male pig (boar) # f = female pig (sow)" where the hashtag separates the element in a sentence.


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END readme
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