IHTAS STUDY
This study by David Amadi outlines efficient methods for managing data in IHTAS research. It emphasizes the importance of accurately identifying participants for follow-up, capturing detailed information via the IHTAS system, and randomizing a sample of 1,655 individuals aged 13-24 from the KIDMS database. The study utilizes ACASI technology, allowing questions to be displayed and read out loud, ensuring participant privacy and data accuracy. Quality control measures are highlighted, alongside the challenges of working in diverse terrains. Ultimately, the study demonstrates how technology can enhance data collection for vulnerable groups.
IHTAS STUDY
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Presentation Transcript
IHTAS STUDY DATA MANAGEMENT By David Amadi
Objectives • Positively identify participants for follow up • Accurately Capture IHTAS information.
Processes in the system • Randomize 1655 persons aged 13-24 selected from KIDMS database. • Uploading residents data into laptops • Identification of participants in the field by FWs • Recording IHTAS data and anthropometric measurements • updates to the central database
Data Capture System • Use of ACASI • Inbuilt with skip pattern and validation checks • 3 languages • Questions are displayed and read aloud by the Computer • Total listening time: 30 – 45 minutes
Advantages of ACASI • Accurately measures stigmatized/sensitive behaviors • Headphones used to keep the interview private
Quality Control • Staging server conducts verification of the process • QC before Analysis to determine • Out of range checks • Logical checks • Check for missing values • Documentation of error instances • Correcting identified errors • Providing feedback to FWs
Challenges • Recharging of laptops • Expansive study region with challenging terrain during rainy season.
Conclusion • Standard survey information is efficiently delivered electronically • No violating anonymity • ACASI feasible for high risk groups, illiterate & computer-naïve persons • Recruits can play and re-play as needed