National Healthcare Quality and Disparities Report
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Search All Research Studies
Topics
- Cancer (1)
- (-) Data (10)
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- (-) Racial and Ethnic Minorities (10)
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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.
Results
1 to 10 of 10 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
Polubriaginof FCG, Ryan P, Salmasian H
Challenges with quality of race and ethnicity data in observational databases.
This study assessed the quality of race and ethnicity information in observational health databases as well as electronic health records (EHRs) and to propose patient self-recording as a way to improve accuracy. Data from the Healthcare Cost and Utilization Project (HCUP) and Optum Labs, and from a single New York City healthcare system’s EHR was compared. Among 160 million patients in the HCUP database, no race or ethnicity data was recorded for 25% of the records. Among the 2.4 million patients in the New York City HER, race or ethnicity was unknown for 57%. However, when patients were allowed to directly record their race and ethnicity, percentages rose to 86%.
AHRQ-funded; HS021816; HS023704; HS024713.
Citation: Polubriaginof FCG, Ryan P, Salmasian H .
Challenges with quality of race and ethnicity data in observational databases.
J Am Med Inform Assoc 2019 Aug;26(8-9):730-36. doi: 10.1093/jamia/ocz113..
Keywords: Healthcare Cost and Utilization Project (HCUP), Data, Racial and Ethnic Minorities, Electronic Health Records (EHRs), Health Information Technology (HIT), Health Services Research (HSR)
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
Yoon S, Co MC, Jr., Suero-Tejeda N
A data mining approach for exploring correlates of self-reported comparative physical activity levels of urban Latinos.
The authors applied data mining techniques to a community-based behavioral dataset to build prediction models to gain insights about physical activity levels as the foundation for future interventions for urban Latinos. They identified environment factors and psychological factors. They concluded that the data mining methods were useful to build prediction models to gain insights about perceptions of physical activity behavior as compared to peers.
AHRQ-funded; HS019853; HS022961.
Citation: Yoon S, Co MC, Jr., Suero-Tejeda N .
A data mining approach for exploring correlates of self-reported comparative physical activity levels of urban Latinos.
Stud Health Technol Inform 2016;225:553-7.
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Keywords: Data, Lifestyle Changes, Racial and Ethnic Minorities, Racial and Ethnic Minorities, Urban Health
Colantonio LD, Kent ST, Kilgore ML
Agreement between Medicare pharmacy claims, self-report, and medication inventory for assessing lipid-lowering medication use.
This paper analyzed the agreement between Medicare claims for lipid-lowering medication (LLM) and LLM use. Many Medicare beneficiaries reporting LLM use or having LLMs in a medication inventory have no claims for these medications.
AHRQ-funded; HS018517.
Citation: Colantonio LD, Kent ST, Kilgore ML .
Agreement between Medicare pharmacy claims, self-report, and medication inventory for assessing lipid-lowering medication use.
Pharmacoepidemiol Drug Saf 2016 Jul;25(7):827-35. doi: 10.1002/pds.3970.
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Keywords: Medicare, Medication, Elderly, Racial and Ethnic Minorities, Data
Lee SJ, Grobe JE, Tiro JA
Assessing race and ethnicity data quality across cancer registries and EMRs in two hospitals.
The objective of this study was to characterize the quality of race/ethnicity data collection efforts. The authors assessed race and ethnicity data quality across cancer registries and electronic medical records in two hospitals. Their findings suggested that high-quality race/ethnicity data are attainable. Many of the "errors" in race/ethnicity data were caused by missing or "Unknown" data values.
AHRQ-funded; HS022418.
Citation: Lee SJ, Grobe JE, Tiro JA .
Assessing race and ethnicity data quality across cancer registries and EMRs in two hospitals.
J Am Med Inform Assoc 2016 May;23(3):627-34. doi: 10.1093/jamia/ocv156..
Keywords: Cancer, Data, Electronic Health Records (EHRs), Health Information Technology (HIT), Hospitals, Racial and Ethnic Minorities, Registries
Zingmond DS, Parikh P, Louie R
Improving hospital reporting of patient race and ethnicity--approaches to data auditing.
This study investigated new metrics to improve the reporting of patient race and ethnicity (R/E) by hospitals. It examined agreement between hospital reported R/E versus self-report among mothers delivering babies and a cancer cohort in California. It concluded that comparison between reported R/E and R/E estimates using zip code level data may be a reasonable first approach to evaluate and track hospital R/E reporting.
AHRQ-funded; HS019963.
Citation: Zingmond DS, Parikh P, Louie R .
Improving hospital reporting of patient race and ethnicity--approaches to data auditing.
Health Serv Res 2015 Aug;50 Suppl 1:1372-89. doi: 10.1111/1475-6773.12324..
Keywords: Racial and Ethnic Minorities, Hospitals, Hospital Discharge, Health Services Research (HSR), Registries, Quality Improvement, Quality of Care, Data
Bigback KM, Hoopes M, Dankovchik J
Using record linkage to improve race data quality for American Indians and Alaska Natives in two Pacific Northwest State Hospital Discharge Databases.
This study aimed to evaluate and adjust for American Indian and Alaska Native (AI/AN) racial misclassification in two hospital discharge datasets in the Pacific Northwest. It found that in Oregon, 55.4 percent of matching records were misclassified (66.5 percent miscoded white, and 22.1 percent were missing race information). Linkage increased ascertainment of AI/AN hospitalizations by 31.8 percent in Oregon and 33.9 percent in Washington.
AHRQ-funded; HS019972.
Citation: Bigback KM, Hoopes M, Dankovchik J .
Using record linkage to improve race data quality for American Indians and Alaska Natives in two Pacific Northwest State Hospital Discharge Databases.
Health Serv Res 2015 Aug;50 Suppl 1:1390-402. doi: 10.1111/1475-6773.12331..
Keywords: Racial and Ethnic Minorities, Quality Improvement, Registries, Hospital Discharge, Data
Bakken SN, Hill JN, Guihan M
Factors influencing consent for electronic data linkage in urban Latinos.
Within the context of patient participation in a Learning Health System, this study examined consent rates and factors associated with consent for linking survey data with electronic clinical data in a sample of 2,271 Latinos. Consent rate was 96.3%. Government insurance status and health literacy significantly influenced the odds of consent.
AHRQ-funded; HS022961.
Citation: Bakken SN, Hill JN, Guihan M .
Factors influencing consent for electronic data linkage in urban Latinos.
Stud Health Technol Inform 2015;216:984..
Keywords: Racial and Ethnic Minorities, Health Information Technology (HIT), Electronic Health Records (EHRs), Data, Racial and Ethnic Minorities
Gomez SL, Lichtensztajn DY, Parikh P
Hospital practices in the collection of patient race, ethnicity, and language data: a statewide survey, California, 2011.
The authors reported on a sruvey of general acute care hospitals in California to elucidate practices regarding collection and auditing of patient race, ethnicity, and primary spoken language (REL). They found that the majority of hospitals used standardized forms for collection, and 75% audited patient information for completeness. They concluded that California hospitals are collecting information on patient REL as mandated, but variation in data collection exists, and hospitals may benefit from standardized data collection and auditing practices.
AHRQ-funded; HS019963.
Citation: Gomez SL, Lichtensztajn DY, Parikh P .
Hospital practices in the collection of patient race, ethnicity, and language data: a statewide survey, California, 2011.
J Health Care Poor Underserved 2014 Aug;25(3):1384-96. doi: 10.1353/hpu.2014.0126.
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Keywords: Data, Hospitals, Racial and Ethnic Minorities, Social Determinants of Health