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AHRQ Research Studies Date
Topics
- Comparative Effectiveness (1)
- (-) Data (5)
- Healthcare Cost and Utilization Project (HCUP) (1)
- Health Information Technology (HIT) (1)
- Health Services Research (HSR) (1)
- (-) Hospital Discharge (5)
- Hospitals (1)
- Maternal Care (1)
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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 5 of 5 Research Studies DisplayedZingmond 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)
Andrews RM
AHRQ Author: Andrews RM
Statewide hospital discharge data: Collection, use, limitations, and improvements.
The purpose of the article is to provide background information on statewide hospital discharge data and the context for the other articles in this special issue of HSR that focus on the products and lessons learned by the Enhanced State Data grantees. The author provides an overview of statewide hospital discharge data, including content and coverage, and its evolution and improvement over time.
AHRQ-authored
Citation: Andrews RM .
Statewide hospital discharge data: Collection, use, limitations, and improvements.
Health Serv Res 2015 Aug;50 Suppl 1:1273-99. doi: 10.1111/1475-6773.12343..
Keywords: Healthcare Cost and Utilization Project (HCUP), Hospital Discharge, Data
Salemi JL, Salinas-Miranda AA, Wilson RE
Transformative use of an improved all-payer hospital discharge data infrastructure for community-based participatory research: a sustainability pathway.
The researchers describe the use of a clinically enhanced maternal and child health (MCH) database to strengthen community-engaged research activities, and to support the sustainability of data infrastructure initiatives. The population-based, longitudinal database was used to supplement data collected from focus groups and community surveys with epidemiological and health care cost data on important MCH disparity issues in the target community.
AHRQ-funded; HS019997.
Citation: Salemi JL, Salinas-Miranda AA, Wilson RE .
Transformative use of an improved all-payer hospital discharge data infrastructure for community-based participatory research: a sustainability pathway.
Health Serv Res 2015 Aug;50 Suppl 1:1322-38. doi: 10.1111/1475-6773.12309..
Keywords: Maternal Care, Comparative Effectiveness, Hospital Discharge, Data, Quality Improvement
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