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Using meta-ethnography to synthesize relevant studies : capturing the bigger picture in dementia with challenging behavior within families / Alexandra Feast, Martin Orrell, Georgina Charlesworth, Fiona Poland, Katie Featherstone, Nina Melunsky, Esme Moniz-Cook.

By: Contributor(s): Material type: TextSeries: Publisher: London : SAGE Publications Ltd, 2018Description: 1 online resource : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781526444899 (ebook) :
Subject(s): DDC classification:
  • 001.42 23
Online resources: In understanding the range and depth of people's experiences, it is important to include the wide range of approaches which capture the richness within a given knowledge base. However, systematic reviews using quantitative data alone risk missing findings that can contribute to a better understanding of a research question. In response, meta-ethnography has emerged as a potentially useful method to synthesize and integrate both qualitative and quantitative data from different perspectives using qualitative methodology. In this case study, we describe how we have used meta-ethnography to better understand how families experience dementia. We address a particular issue of selecting the highest quality evidence across a range of epistemologies.
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Includes bibliographical references and index.

In understanding the range and depth of people's experiences, it is important to include the wide range of approaches which capture the richness within a given knowledge base. However, systematic reviews using quantitative data alone risk missing findings that can contribute to a better understanding of a research question. In response, meta-ethnography has emerged as a potentially useful method to synthesize and integrate both qualitative and quantitative data from different perspectives using qualitative methodology. In this case study, we describe how we have used meta-ethnography to better understand how families experience dementia. We address a particular issue of selecting the highest quality evidence across a range of epistemologies.

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