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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 4 of 4 Research Studies DisplayedJarrin OF, Nyandege AN, Grafova IB
Validity of race and ethnicity codes in Medicare administrative data compared with gold-standard self-reported race collected during routine home health care visits.
The authors compared the validity of two race/ethnicity variables found in Medicare administrative data against a gold-standard source also available in the Medicare data warehouse. They found that the race/ethnicity variables contained in Medicare administrative data for minority health disparities research can be improved through the use of self-reported race/ethnicity data. They conclude that future work to improve the accuracy of Medicare beneficiaries' race/ethnicity data should incorporate and augment the self-reported race/ethnicity data contained in assessment and survey data, available within the Medicare data warehouse.
AHRQ-funded; HS022406.
Citation: Jarrin OF, Nyandege AN, Grafova IB .
Validity of race and ethnicity codes in Medicare administrative data compared with gold-standard self-reported race collected during routine home health care visits.
Med Care 2020 Jan;58(1):e1-e8. doi: 10.1097/mlr.0000000000001216..
Keywords: Racial and Ethnic Minorities, Home Healthcare, Medicare, Data, Disparities, Research Methodologies
Nguyen A, Lau BD
Collecting sexual orientation and gender identity information: Filling the gaps in sexual and gender minority health.
A lack of sexual orientation and gender identity (SOGI) data collection limits understanding of the true size of and health outcomes among these populations. In this invited commentary, the authors discuss collection of these data.
AHRQ-funded; HS024547.
Citation: Nguyen A, Lau BD .
Collecting sexual orientation and gender identity information: Filling the gaps in sexual and gender minority health.
Med Care 2018 Mar;56(3):205-07. doi: 10.1097/mlr.0000000000000856..
Keywords: Data, Disparities, Racial and Ethnic Minorities, Racial and Ethnic Minorities, Sexual Health
Bakken S, Reame N
http://www.ingentaconnect.com/content/springer/arnr/2016/00000034/00000001/art00013
The promise and potential perils of big data for advancing symptom management research in populations at risk for health disparities.
The purposes of this chapter are to (a) briefly summarize the current drivers for the use of big data in research; (b) describe the promise of big data and associated data science methods for advancing symptom management research; and (c) explicate the potential perils of big data and data science from the perspective of the ethical principles of autonomy, beneficence, and justice.
AHRQ-funded; HS022961
Citation: Bakken S, Reame N .
The promise and potential perils of big data for advancing symptom management research in populations at risk for health disparities.
Annu Rev Nurs Res 2016;34:247-60. doi: 10.1891/0739-6686.34.247..
Keywords: Data, Disparities, Nursing, Patient-Centered Outcomes Research
Bakken S, Reame N
The promise and potential perils of big data for advancing symptom management research in populations at risk for health disparities.
The purposes of this chapter are to (a) briefly summarize the current drivers for the use of big data in research; (b) describe the promise of big data and associated data science methods for advancing symptom management research; and (c) explicate the potential perils of big data and data science from the perspective of the ethical principles of autonomy, beneficence, and justice.
AHRQ-funded; HS022961.
Citation: Bakken S, Reame N .
The promise and potential perils of big data for advancing symptom management research in populations at risk for health disparities.
Annu Rev Nurs Res 2016;34:247-60. doi: 10.1891/0739-6686.34.247..
Keywords: Disparities, Data, Patient-Centered Outcomes Research, Registries