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Dataset Information

Development of a Metric to Detect and Decrease Low-Value Prescribing in Older Adults.


ABSTRACT:

Importance

Metrics that detect low-value care in common forms of health care data, such as administrative claims or electronic health records, primarily focus on tests and procedures but not on medications, representing a major gap in the ability to systematically measure low-value prescribing.

Objective

To develop a scalable and broadly applicable metric that contains a set of quality indicators (EVOLV-Rx) for use in health care data to detect and reduce low-value prescribing among older adults and that is informed by diverse stakeholders' perspectives.

Design, setting, and participants

This qualitative study used an online modified-Delphi method to convene an expert panel of 15 physicians and pharmacists. This panel, comprising clinicians, health system leaders, and

SUBMITTER: Radomski TR 

PROVIDER: S-EPMC8848205 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature