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Understanding Adherence and Prescription Patterns Using Large-Scale Claims Data

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  • Margrét Bjarnadóttir
  • Sana Malik
  • Eberechukwu Onukwugha
  • Tanisha Gooden
  • Catherine Plaisant

Abstract

This proof-of-concept study illustrates the use of visual analytics tools in characterizing longitudinal medication possession. We find that prescription patterns and associated prescription costs are more influenced by allowable gap lengths than by definitions and treatment of overlap. Research using medication gaps and overlaps to define medication possession in prescription claims data should pay particular attention to the definition and use of gap lengths. Copyright Springer International Publishing Switzerland 2016

Suggested Citation

  • Margrét Bjarnadóttir & Sana Malik & Eberechukwu Onukwugha & Tanisha Gooden & Catherine Plaisant, 2016. "Understanding Adherence and Prescription Patterns Using Large-Scale Claims Data," PharmacoEconomics, Springer, vol. 34(2), pages 169-179, February.
    • Handle: RePEc:spr:pharme:v:34:y:2016:i:2:p:169-179
    DOI: 10.1007/s40273-015-0333-4
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    Cited by:

    1. Galetsi, P. & Katsaliaki, K. & Kumar, S., 2019. "Values, challenges and future directions of big data analytics in healthcare: A systematic review," Social Science & Medicine, Elsevier, vol. 241(C).

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