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  1. 4 ημέρες πριν · For instance, Example A ensures consistent and concise data collection that would likely be required at minimum for a funder (Refer to Table 1); however, it requires the participant to select exactly one of the available options for race and ethnicity. A participant who does not identify with the race options listed must select from the ...

  2. This video outlines the importance of accurate and standardized. collection of data on race, ethnicity and language (REaL). Practical steps required to routinize REaL data workflows are discussed. Strategies enabling patients to self-identify REaL characteristics are.

  3. The frequency of race and ethnic categories before and after application of the mapping algorithm is presented in Appendix A2, with the numbers of women by self-identified race and ethnicity “as collected on Form 2 or Form 41”, including the Form 41 race and ethnicity subgroups, juxtaposed with the numbers after the mapping

  4. By collecting and stratifying patient race, ethnicity and language (REAL) data, hospitals and care systems can identify which, if any, health care disparities exist—and then target interventions to address the disparities.

  5. 16 Μαρ 2017 · This issue brief documents how race, ethnicity, and language data are collected for the Medicaid programs in the 50 U.S. states, the District of Columbia, and five U.S. territories: American Samoa, Guam, the Commonwealth of Northern Mariana Islands (CNMI), Puerto Rico, and the U.S. Virgin Islands.

  6. Use Inclusive Language: Use inclusive language when describing demographic information (for example, "xx identified as women, xx as men, and xx as non-binary" instead of "xx males and xx females"). For the U.S. context, APA resources on inclusive and bias-free language are useful:

  7. Height is a polygenic trait with a high degree of heritability. Most (95%) children with short stature (defined as height below the third percentile) and poor growth (growth velocity <5 cm/year) do not have an endocrine disorder.

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