Home Research Research Library Data Disaggregation of Asian Americans: Implications for the Physician Workforce Data Disaggregation of Asian Americans: Implications for the Physician Workforce 2024 Author(s) Ha, Emmeline, and Kuwahara, Rita Kaur Topic(s) Education & Training Keyword(s) Policy Brief Commentaries Volume 37(2):346-348 Source Journal of the American Board of Family Medicine Health equity advocates have long called for data disaggregation to address health disparities with more representative population data. Data disaggregation involves the breakdown of large categories into specific component parts for further analysis. In racial and ethnic data, aggregated data sets have especially adversely impacted the Asian American population, a heterogenous group with rootsinmorethan 20 countries and wide variations in socioeconomic factors across subgroups. When reported as a whole… ABFM Research Read all 2021 Using the Family Medicine National Graduate Survey to Improve Residency Education by Monitoring Training Outcomes Go to Using the Family Medicine National Graduate Survey to Improve Residency Education by Monitoring Training Outcomes 2015 The Predictive Validity of the ABFM’s In-Training Examination Go to The Predictive Validity of the ABFM’s In-Training Examination 2022 The American Board of Family Medicine’s 8 Years of Experience with Differential Item Functioning Go to The American Board of Family Medicine’s 8 Years of Experience with Differential Item Functioning 2017 Resident and Residency Characteristics Associated With Self-reported Preparedness for Population Health Management Go to Resident and Residency Characteristics Associated With Self-reported Preparedness for Population Health Management
Author(s) Ha, Emmeline, and Kuwahara, Rita Kaur Topic(s) Education & Training Keyword(s) Policy Brief Commentaries Volume 37(2):346-348 Source Journal of the American Board of Family Medicine
ABFM Research Read all 2021 Using the Family Medicine National Graduate Survey to Improve Residency Education by Monitoring Training Outcomes Go to Using the Family Medicine National Graduate Survey to Improve Residency Education by Monitoring Training Outcomes 2015 The Predictive Validity of the ABFM’s In-Training Examination Go to The Predictive Validity of the ABFM’s In-Training Examination 2022 The American Board of Family Medicine’s 8 Years of Experience with Differential Item Functioning Go to The American Board of Family Medicine’s 8 Years of Experience with Differential Item Functioning 2017 Resident and Residency Characteristics Associated With Self-reported Preparedness for Population Health Management Go to Resident and Residency Characteristics Associated With Self-reported Preparedness for Population Health Management
2021 Using the Family Medicine National Graduate Survey to Improve Residency Education by Monitoring Training Outcomes Go to Using the Family Medicine National Graduate Survey to Improve Residency Education by Monitoring Training Outcomes
2015 The Predictive Validity of the ABFM’s In-Training Examination Go to The Predictive Validity of the ABFM’s In-Training Examination
2022 The American Board of Family Medicine’s 8 Years of Experience with Differential Item Functioning Go to The American Board of Family Medicine’s 8 Years of Experience with Differential Item Functioning
2017 Resident and Residency Characteristics Associated With Self-reported Preparedness for Population Health Management Go to Resident and Residency Characteristics Associated With Self-reported Preparedness for Population Health Management