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The Design, Development, and Evaluation of a Qualitative Data Collection Application for Pregnant Women
Author(s) -
Keedle Hazel,
Schmied Virginia,
Burns Elaine,
Dahlen Hannah
Publication year - 2018
Publication title -
journal of nursing scholarship
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.009
H-Index - 80
eISSN - 1547-5069
pISSN - 1527-6546
DOI - 10.1111/jnu.12344
Subject(s) - data collection , computer science , phone , mobile phone , qualitative research , focus group , qualitative property , relevance (law) , construct (python library) , mobile apps , internet privacy , variety (cybernetics) , mhealth , multimedia , medical education , data science , world wide web , medicine , nursing , psychological intervention , artificial intelligence , social science , philosophy , mathematics , law , business , linguistics , sociology , telecommunications , marketing , machine learning , political science , programming language , statistics
Purpose This article explores the development and evaluation of a smartphone mobile software application (app) to collect qualitative data. The app was specifically designed to capture real‐time qualitative data from women planning a vaginal birth after caesarean delivery. This article outlines the design and development of the app to include funding, ethics, and the recruitment of an app developer, as well as the evaluation of using the app by seven participants. Organizing Construct Data collection methods used in qualitative research include interviews and focus groups (either online, face‐to‐face, or by phone), participant diaries, or observations of interactions. This article identifies an alternative data collection methodology using a smartphone app to collect real‐time data. Conclusions The app provides real‐time data and instant access to data alongside the ability to access participants from a variety of locations. This allows the researcher to gain insight into the experiences of participants through audio or video recordings in longitudinal studies without the need for constant interactions or interviews with participants. Clinical Relevance Using smartphone applications can allow researchers to access participants who are traditionally hard to reach and access their data in real time. Evaluating these apps before use in research is invaluable.