Predicting the cost op hospital stay for stroke patients: the use of diagnosis related groups

T.L.C.M. Groot; G. Voss; F. Nieman; A. Ament; A Boreas; G. Blaauw; s. evers; j. lodder

doi:10.1016/S0168-8510(01)00219-6

Predicting the cost op hospital stay for stroke patients: the use of diagnosis related groups

T.L.C.M. Groot, G. Voss, F. Nieman, A. Ament, A Boreas, G. Blaauw, s. evers, j. lodder

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Research output: Contribution to Journal › Article › Academic

Original language	English
Pages (from-to)	21-42
Number of pages	11
Journal	Health Policy
Volume	61
Issue number	1
DOIs	https://doi.org/10.1016/S0168-8510(01)00219-6
Publication status	Published - 2002

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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http://www.deepdyve.com/lp/elsevier/predicting-the-cost-of-hospital-stay-for-stroke-patients-the-use-of-GqXI4zytPZ

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title = "Predicting the cost op hospital stay for stroke patients: the use of diagnosis related groups",

author = "T.L.C.M. Groot and G. Voss and F. Nieman and A. Ament and A Boreas and G. Blaauw and s. evers and j. lodder",

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T1 - Predicting the cost op hospital stay for stroke patients: the use of diagnosis related groups

AU - Groot, T.L.C.M.

AU - Voss, G.

AU - Nieman, F.

AU - Ament, A.

AU - Boreas, A

AU - Blaauw, G.

AU - evers, s.

AU - lodder, j.

PY - 2002

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DO - 10.1016/S0168-8510(01)00219-6

M3 - Article

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VL - 61

SP - 21

EP - 42

JO - Health Policy

JF - Health Policy

IS - 1

ER -

Predicting the cost op hospital stay for stroke patients: the use of diagnosis related groups

UN SDGs

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