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Using Learning Outcome Measures to assess Doctoral Nursing Education

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Published on: June 21, 2010

Using health outcomes to validate access quality measures.

Julie C Prentice¹, Sydney Dy, Michael L Davies

¹Health Care Financing and Economics, VA Boston Health Care System, 150 South Huntington Ave, Mail Stop 152H, Boston, MA 02130. E-mails: jprentic@bu.edu.

The American Journal of Managed Care

|February 12, 2014

Summary

Different wait time measures predict diabetes outcomes for new and returning patients. Accountable care organizations (ACOs) should use specific wait time metrics to accurately assess healthcare quality.

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Oral Health Assessment by Lay Personnel for Older Adults

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Published on: February 2, 2020

Area of Science:

Health Services Research
Diabetes Care Management
Healthcare Quality Measurement

Background:

Medicare reforms incentivize Accountable Care Organizations (ACOs) to deliver high-quality care.
Reliable quality measures predicting health outcomes are essential for ACO success.
Glycated hemoglobin (A1C) levels are key indicators of diabetes control.

Purpose of the Study:

To evaluate alternative wait time metrics for predicting patient A1C levels.
To determine which wait time measures best correlate with diabetes outcomes.
To inform quality measurement strategies for Accountable Care Organizations.

Main Methods:

Retrospective analysis of Veterans Health Administration and Medicare data (2005-2010).
Used Heckman selection models to predict average and uncontrolled A1C levels, risk-adjusted for health status.
Compared facility-level primary care wait times using capacity, create date, and desired date measures for new and returning patients.

Main Results:

For new patients, capacity and create date wait times predicted A1C levels, but desired date did not.
For returning patients, retrospective create date and desired date wait times predicted higher/uncontrolled A1C.
Capacity and prospective create date measures did not predict outcomes for returning patients.

Conclusions:

Administrative wait time measures have differential predictive power for A1C based on patient type (new vs. returning).
Accountable Care Organizations must utilize specific, outcome-linked wait time measures for distinct patient subpopulations to ensure accurate quality assessment.
Tailored wait time metrics are crucial for effective healthcare quality evaluation in diabetes management.