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Building blocks for measuring care coordination with claims data.

Jodi B Segal¹, Eva H DuGoff

¹1 Johns Hopkins School of Medicine , Baltimore, Maryland.

Population Health Management

|March 11, 2014

Summary

This summary is machine-generated.

Measuring care coordination is essential for evaluating healthcare initiatives. This study identifies four key components and measures using administrative data to assess coordinated care

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Area of Science:

Health Services Research
Healthcare Management
Medical Informatics

Background:

Effective care coordination is crucial for improving patient outcomes and controlling healthcare costs.
Current methods for measuring care coordination are insufficient to evaluate various healthcare initiatives.
Administrative data offer a valuable resource for assessing care coordination at multiple levels.

Purpose of the Study:

To identify and describe key components of care coordination.
To develop corresponding measures for assessing care coordination.
To provide tools for evaluating the impact of coordinated care on health outcomes and costs.

Main Methods:

Literature review on care coordination measurement.
Expert panel input to define core components.
Development of patient-level, provider-level, and system-level measures.

Main Results:

Identified four fundamental building blocks of care coordination.
Proposed specific measures linked to each building block.
Highlighted the utility of these measures across diverse clinical conditions.

Conclusions:

The proposed framework and measures can assess care coordination effectiveness.
Administrative data can be leveraged to quantify care coordination.
This approach can inform policies aimed at improving healthcare delivery and patient outcomes.