What question did this study set out to answer?

To develop an updated and efficient medication mapping approach using pharmacy claims data to identify chronic disease status when clinical records are unavailable.

October 30, 2013BMC Public HealthOpen Access

Identifying patients with chronic conditions using pharmacy data in Switzerland: an updated mapping approach to the classification of medications

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Authors

CHCarola A. HuberHelsana Group (Switzerland)TSThomas D. SzucsUniversity of Basel RRRoland RapoldHelsana Group (Switzerland)

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Implication

Methodological study demonstrates an updated medication mapping approach for detecting chronic conditions in patient populations, indicating viable disease surveillance when clinical data are missing.

Key Points

To develop an updated and efficient medication mapping approach using pharmacy claims data to identify chronic disease status when clinical records are unavailable.
Developed an updated classification scheme to map pharmacy drug dispensing claims to specific chronic conditions.
Evaluated the feasibility of utilizing routine pharmacy claims as a proxy for measuring disease burden and supporting health policy models.
Established an improved, feasible mapping system capable of identifying chronic conditions directly from medication records.
Demonstrated that pharmacy data can serve as an effective data source to measure population disease burden and inform risk adjustment modeling.

Cite This Study

Huber et al. (2013) studied this question.

synapsesocial.com/papers/69d8a2db33ca018b39ae3cdb https://doi.org/10.1186/1471-2458-13-1030

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Identifying patients with chronic conditions using pharmacy data in Switzerland: an updated mapping approach to the classification of medications

Discussion

Member takes

Implication

Key Points

Cite This Study

Identifying patients with chronic conditions using pharmacy data in Switzerland: an updated mapping approach to the classification of medications

Discussion

Member takes

Implication

Key Points

Cite This Study

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