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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 DisplayedAlapati V, Tang F, Charlap E
Discharge heart rate after hospitalization for myocardial infarction and long-term mortality in 2 US registries.
In this study, researchers evaluated the association of discharge and admission heart rates with 3-year mortality. They concluded that a higher discharge heart rate after AMI was more strongly associated with 3-year mortality than a high heart rate at admissions.
AHRQ-funded; HS011282.
Citation: Alapati V, Tang F, Charlap E .
Discharge heart rate after hospitalization for myocardial infarction and long-term mortality in 2 US registries.
J Am Heart Assoc 2019 Feb 5;8(3):e010855. doi: 10.1161/jaha.118.010855..
Keywords: Cardiovascular Conditions, Hospital Discharge, Mortality, Heart Disease and Health, 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
Naessens JM, Visscher SL, Peterson SM
Incorporating the last four digits of social security numbers substantially improves linking patient data from de-identified hospital claims databases.
The study objective was to assess algorithms for linking patients across de-identified databases without compromising confidentiality. It found that addition of SSNL4 to administrative data, accompanied by appropriate data use and data release policies, can enable trusted repositories to link data with nearly perfect accuracy.
AHRQ-funded; HS020043.
Citation: Naessens JM, Visscher SL, Peterson SM .
Incorporating the last four digits of social security numbers substantially improves linking patient data from de-identified hospital claims databases.
Health Serv Res 2015 Aug;50 Suppl 1:1339-50. doi: 10.1111/1475-6773.12323..
Keywords: Data, Registries, Hospital Discharge, Health Information Technology (HIT)
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