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Indirect estimation techniques, when used with an understanding of the probabilistic nature of the data, can supplement direct data collection efforts Addressing health and health care disparities requires the full involvement of organizations that have an existing infrastructure for quality measurement and improvement.
Although hospitals, community health centers (CHCs), physician practices, health plans, and local, state, and federal agencies can all play key roles by incorporating race, ethnicity, and language data into existing data collection and quality reporting efforts, each faces opportunities and challenges in attempting to achieve this objective.
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There are two ways to go about it: you can use information that's already out there (after all, there's no sense in reinventing the wheel); or, if what you are looking for just doesn't seem to exist, you can collect new information yourself.
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Explicitly expressing the rationale for the data collection and training staff, organizational leadership, and the public to appreciate the need to use valid collection mechanisms may improve the situation.
Nevertheless, some entities face health information technology (Health IT) constraints and internal resistance.