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Platform_Analytics.csv (45.1 kB)
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Interview_Expert_8.docx (43.87 kB)
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Interview_Expert_9.docx (50.54 kB)
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Interview_Expert_10.docx (50.18 kB)
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Interview_User_1.docx (48.1 kB)
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Interview_User_7.docx (49.58 kB)
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Meta_Data.docx (16.73 kB)
DATASET
Survey_1.csv (81.68 kB)
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Survey_2.csv (32.22 kB)
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Usability and preliminary efficacy of an AI-driven platform supporting dietary management in diabetes: A mixed-method study.

dataset
posted on 2023-04-17, 09:11 authored by Kim BulKim Bul, Nikki HollidayNikki Holliday, Cain Craig Truman Clark, Mohammad RA Bhuiyan, John Allen, Petra A. Wark

Survey file 1 and 2

Survey file 1 (before/first survey) and Survey file 2 (after/second survey) through online survey software Qualtrics XM. Online Qualtrics Survey file 1 (before/first survey) - CSV format to be opened in Microsoft Excel.

Online Qualtrics Survey file 2 (after/second survey) - CSV format to be opened in Microsoft Excel. Survey data have been anonymized by removing personal and sensitive data (see MetaData file) and data from the survey files have been merged into one SPSS file for analysis purposes. 


Semi-structured Interviews

Interviews were recorded through MS Teams (with a Dictaphone for backup recording) and transcribed by an external company (Just Delegate) in Microsoft Word.  Interview data have been anonymized by removing name, location and profession. Data has not been processed for analytical purposes. Interview transcripts to be opened in Microsoft Word.  


Platform analytics

Platform analytics were captured using MixPanel software. Platform analytics have been anonymized by removing email address and region. Data has been transferred into SPSS to generate descriptive statistics.Platform analytics - CSV format to be opened in Microsoft Excel.

Funding

West Midlands Academic Health and Science Network

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