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HEDIS, what is it? What does it mean to me? How does it affect my practice?
Insights
Healthcare data comparison requires standardized collection and severity adjustments for valid health plan analysis. Ensuring data improves quality, not just cost control, benefits all stakeholders.
Area of Science:
- Health Services Research
- Quality Improvement Science
Background:
- Healthcare data collection for comparison is necessary but faces challenges.
- Current methods require adjustments for illness severity to ensure valid physician-patient population comparisons.
Purpose of the Study:
- To highlight the need for fact-based health coverage comparisons.
- To address concerns regarding data collection intrusions and punitive use of analyzed data.
Main Methods:
- Discussion of Healthplan Employer Data and Information Set (HEDIS) data collection and analysis.
- Emphasis on the need for severity of illness adjustments in data analysis.
- Exploration of data usage for Continuous Quality Improvement (CQI) versus punitive measures.
Main Results:
- Standardization of HEDIS data collection by a single entity would reduce practice intrusions.
- Clarification is needed on whether HEDIS data will be used for punitive deselection or CQI.
- Contractual agreements may be necessary to address HEDIS process concerns.
Conclusions:
- HEDIS data, when collected reliably and used for improvement, benefits purchasers, patients, and physicians.
- Continuous monitoring of HEDIS development is crucial for data consistency, meaningfulness, and quality improvement.
- Future HEDIS processes should prioritize reliable data collection and meaningful analysis for healthcare quality enhancement.
Abstract:
Collection of data to allow for fact based comparison of health coverage is needed. While the intent is commendable, one must contemplate how to deal with the stream of auditors coming into the office Another issue, proposed to be addressed in the 1996 version, is adjustment of the data for severity of illness. Physician-patient populations are not exactly alike and require severity adjustments to enable valid comparison. Results of data analysis should be shared with the physician. Clarification with each health plan is necessary to ascertain if the analyzed data will be used in a punitive manner (deselection) or in a true CQI (continuous quality improvement) process to allow for identification of weakness and subsequent improvement. Hopefully in the future it will be possible for HEDIS data to be collected by one organization with subsequent distribution of the information to the respective health plans. Not only would this decrease intrusions into daily operation of a medical practice, it would also result in a standardization of collection methodology among all health plans. Until the HEDIS process matures, it may be wise to address some of these concerns in the contract between the physician and health plan. HEDIS can be of benefit not only to employers, but to everyone involved in the health care system--purchasers, patients, and physicians. The HEDIS development process must be closely monitored to be certain data collection is consistent ant reliable, the data collected is meaningful, and the data analysis results are used to improve health care quality--not just for cost control and health planning.
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