@inbook{d7299e69516f4dcea87572514c452886,
title = "Using Thematic Analysis in Healthcare HCI at CHI: A Scoping Review",
abstract = "CHI papers researching healthcare human-computer interaction (HCI) are increasingly reporting the use of {"}thematic analysis{"}(TA). TA refers to a range of flexible and evolving approaches for qualitative data analysis. Its increased use demonstrates a change in research practices, and with that the emergence of new local standards. We need to understand and reflect upon these emerging local practices, including departures from what is advocated as quality TA practice more generally. Toward this, we conducted a scoping review of a decade of CHI publications (2012 - 2021) that researched healthcare and termed their analysis approach {"}thematic analysis{"}; 78 papers reporting a total of 100 TAs were included. We contribute a description of 1) the contexts in which TA is being used, 2) the TA approaches being conducted, and 3) how TA is being reported. Drawing on this, we discuss opportunities to improve research practice when using TA in healthcare HCI.",
keywords = "healthcare, qualitative research, thematic analysis",
author = "Robert Bowman and Camille Nadal and Kellie Morrissey and Anja Thieme and Gavin Doherty",
note = "Publisher Copyright: {\textcopyright} 2023 Owner/Author.; 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 ; Conference date: 23-04-2023 Through 28-04-2023",
year = "2023",
month = apr,
day = "19",
doi = "10.1145/3544548.3581203",
language = "English",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery ",
booktitle = "CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems",
address = "United States",
}