Optimising Qualitative Longitudinal Analysis: Insights From a Study of Traumatic Brain Injury Recovery and Adaptation

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aut.relation.journalNursing Inquiryen_NZ
aut.researcherFadyl, Joanna
dc.contributor.authorFadyl, JKen_NZ
dc.contributor.authorChannon, Aen_NZ
dc.contributor.authorTheadom, Aen_NZ
dc.contributor.authorMcPherson, KMen_NZ
dc.contributor.authorTBI Experiences Research Groupen_NZ
dc.date.accessioned2018-11-16T01:29:38Z
dc.date.available2018-11-16T01:29:38Z
dc.date.copyright2016en_NZ
dc.date.issued2016en_NZ
dc.description.abstractKnowledge about aspects that influence recovery and adaptation in the postacute phase of disabling health events is key to understanding how best to provide appropriate rehabilitation and health services. Qualitative longitudinal research makes it possible to look for patterns, key time points and critical moments that could be vital for interventions and supports. However, strategies that support robust data management and analysis for longitudinal qualitative research in health-care are not well documented in the literature. This article reviews three challenges encountered in a large longitudinal qualitative descriptive study about experiences of recovery and adaptation after traumatic brain injury in New Zealand, and the strategies and technologies used to address them. These were (i) tracking coding and analysis decisions during an extended analysis period; (ii) navigating interpretations over time and in response to new data; and (iii) exploiting data volume and complexity. Concept mapping during coding review, a considered combination of information technologies, employing both cross-sectional and narrative analysis, and an expectation that subanalyses would be required for key topics helped us manage the study in a way that facilitated useful and novel insights. These strategies could be applied in other qualitative longitudinal studies in healthcare inquiry to optimise data analysis and stimulate important insights.en_NZ
dc.identifier.citationNursing inquiry, 24(2), e12170.
dc.identifier.doi10.1111/nin.12170en_NZ
dc.identifier.issn1440-1800en_NZ
dc.identifier.issn1440-1800en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/12021
dc.languageengen_NZ
dc.publisherJohn Wiley & Sons
dc.relation.urihttps://onlinelibrary.wiley.com/doi/full/10.1111/nin.12170
dc.rightsCopyright © 2016 John Wiley & Sons. All rights reserved. Authors retain the right to place his/her pre-publication version of the work on a personal website or institutional repository. This article may not exactly replicate the final version published in (please see citation) as it is not a copy of this record. An electronic version of this article can be found online at: (Please see Publisher’s Version).
dc.rights.accessrightsOpenAccessen_NZ
dc.subjectData analysisen_NZ
dc.subjectData managementen_NZ
dc.subjectQualitative longitudinalen_NZ
dc.subjectQualitative methodsen_NZ
dc.titleOptimising Qualitative Longitudinal Analysis: Insights From a Study of Traumatic Brain Injury Recovery and Adaptationen_NZ
dc.typeJournal Article
pubs.elements-id217226
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Corporate Development & Support Group
pubs.organisational-data/AUT/Health & Environmental Science
pubs.organisational-data/AUT/Health & Environmental Science/Clinical Sciences
pubs.organisational-data/AUT/Health & Environmental Science/Public Health & Psych Studies
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