Using Spatial Analysis to Predict Health Care Use at the Local Level: A Case Study of Type 2 Diabetes Medication Use and Its Association with Demographic Change and Socioeconomic Status

• Aletta Dijkstra ,

  * E-mail: a.dijkstra@rug.nl

  Affiliation Unit of PharmacoEpidemiology & PharmacoEconomics (PE2), Department of Pharmacy, University of Groningen, Groningen, The Netherlands

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• Fanny Janssen,

  Affiliations Unit of PharmacoEpidemiology & PharmacoEconomics (PE2), Department of Pharmacy, University of Groningen, Groningen, The Netherlands, Population Research Centre, Faculty of Spatial Sciences, University of Groningen, Groningen, The Netherlands

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• Marinus De Bakker,

  Affiliation Groningen Center for Spatial Information, Faculty of Spatial Sciences, University of Groningen, Groningen, The Netherlands

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• Jens Bos,

  Affiliation Unit of PharmacoEpidemiology & PharmacoEconomics (PE2), Department of Pharmacy, University of Groningen, Groningen, The Netherlands

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• René Lub,

  Affiliation Unit of PharmacoEpidemiology & PharmacoEconomics (PE2), Department of Pharmacy, University of Groningen, Groningen, The Netherlands

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• Leo J. G. Van Wissen,

  Affiliations Population Research Centre, Faculty of Spatial Sciences, University of Groningen, Groningen, The Netherlands, Netherlands Interdisciplinary Demographic Institute (NIDI), The Hague, The Netherlands

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• Eelko Hak

  Affiliation Unit of PharmacoEpidemiology & PharmacoEconomics (PE2), Department of Pharmacy, University of Groningen, Groningen, The Netherlands

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