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Comparison of physician referral and insurance claims data-based risk prediction as approaches to identify patients for care management in primary care: an observational study

Primary care-based care management (CM) could reduce hospital admissions in high-risk patients. Identification of patients most likely to benefit is needed as resources for CM are limited. This study aimed to compare hospitalization and mortality rates of patients identified for CM either by treatin...

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Bibliographic Details
Main Authors: Freund, Tobias (Author) , Gondan, Matthias (Author) , Rochon, Justine (Author) , Peters-Klimm, Frank (Author) , Campbell, Stephen (Author) , Wensing, Michel (Author) , Szecsenyi, Joachim (Author)
Format: Article (Journal)
Language:English
Published: 20 October 2013
In: BMC family practice
Year: 2013, Volume: 14, Issue: 1
ISSN:1471-2296
DOI:10.1186/1471-2296-14-157
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1186/1471-2296-14-157
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Author Notes:Tobias Freund, Matthias Gondan, Justine Rochon, Frank Peters-Klimm, Stephen Campbell, Michel Wensing and Joachim Szecsenyi
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Summary:Primary care-based care management (CM) could reduce hospital admissions in high-risk patients. Identification of patients most likely to benefit is needed as resources for CM are limited. This study aimed to compare hospitalization and mortality rates of patients identified for CM either by treating primary care physicians (PCPs) or predictive modelling software for hospitalization risk (PM).
Item Description:Gesehen am 17.05.2021
Physical Description:Online Resource
ISSN:1471-2296
DOI:10.1186/1471-2296-14-157

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