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Author Howard, Heather, author

Title Interpretative phenomenological analysis : making meaning of the care decision-making experience for pregnant opioid-dependent women / Heather Howard
Published London : SAGE Publications Ltd, 2017
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Sage Research Methods Cases    View Resource Record  

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Description 1 online resource : illustrations
Series SAGE Research Methods. Cases
SAGE Research Methods. Cases
Summary This case study describes how I utilized interpretative phenomenological analysis in understanding the lived experience of 20 pregnant women who self-identified as opioid dependent in their prenatal care. Interpretative phenomenological analysis is a qualitative research approach designed for researchers to understand how people make sense of their major life experiences. This approach allows the researcher to understand how the participants make meaning of being pregnant and opioid dependent and their intersection with the health care professionals. Specifically, there is a discussion of potential challenges, such as sampling and analysis issues, within the context of interpretative phenomenological analysis and of the major themes that arose. Finally, reflections on my feminist-theoretical interpretations of the findings within the context of interpretative phenomenological analysis are presented. Utilizing a feminist-theoretical lens, the participants experienced constrained treatment and constrained prenatal care choices while navigating complex outside factors within the context of their recovery. Other important findings had to do with the participants' care and concern for their fetuses, their experience of internal and external stigma, and their identified importance of peer and professional support during their pregnancy and postpartum period
Bibliography Includes bibliographical references and index
Notes Description based on XML content
Subject Opioid abuse -- Research -- Case studies.
Pregnant women -- Drug use -- Research -- Case studies.
Qualitative research -- Methodology -- Case studies.
Genre/Form Case studies.
Case studies.
Form Electronic book
ISBN 1526423375
9781526423375 (ebook)