Issues Encountered in a Qualitative Secondary Analysis of Help-Seeking in the Prodrome to Psychosis

Community Health Systems Resource Group, The Hospital for Sick Children, 555 University Avenue, Toronto, Ontario, M5G 1X8, Canada.
The Journal of Behavioral Health Services & Research (Impact Factor: 1.37). 11/2007; 34(4):431-42. DOI: 10.1007/s11414-007-9079-x
Source: PubMed


Primary data are rarely used explicitly as a source of data outside of the original research purpose for which they were collected. As a result, qualitative secondary analysis (QSA) has been described as an "invisible enterprise" for which there is a "notable silence" amongst the qualitative research community. In this paper, we report on the methodological implications of conducting a secondary analysis of qualitative data focusing on parents' narratives of help-seeking activities in the prodrome to psychosis. We review the literature on QSA, highlighting the main characteristics of the approach, and discuss issues and challenges encountered in conducting a secondary analysis. We conclude with some thoughts on the implications for conducting a QSA in children's mental health services and research.

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Available from: Brenda M Gladstone
    • "teachers, students, parents, and community) about educational inequities for an improved understanding to better serve the needs of all learners. QSA is defined as the use of existing data collected from prior studies to pursue a new research question or utilize alternative theoretical perspectives (Gladstone et al. 2007; Heaton, 1998). While utilizing quantitative data in secondary analyses is quite common, using qualitative data similarly is an emerging phenomenon (see e.g. "
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    • "There was a wide range in sample size amongst the studies. The smallest (n = 10) was from a qualitative study comprising interviews with parents who had sought help for children with early signs of mental disorder in Canada;17 the largest was a nationwide epidemiological study, known as the Canadian Community Health Survey (n = 123,543).18 The majority of studies were cross-sectional designs (73%), followed by qualitative studies (14%). "
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    • "A secondary analysis of the qualitative data was determined to be the most effective approach to meet the study's goal. Secondary analyses of qualitative data focus on more in-depth explorations of a specific theme or new question generated from a larger, parent study (Gladstone et al., 2007; Hinds et al., 1997). At the time the secondary data analysis occurred for this study, the IRB approvals from the second phase of the study (2008) remained active and covered the secondary analysis. "
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