National Healthcare Quality and Disparities Report
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Search All Research Studies
Topics
- Adverse Events (1)
- Cancer (1)
- Cardiovascular Conditions (1)
- Comparative Effectiveness (1)
- (-) Data (9)
- Electronic Health Records (EHRs) (2)
- Health Information Technology (HIT) (1)
- Health Services Research (HSR) (1)
- Hospital Discharge (1)
- (-) Hospitals (9)
- Mortality (2)
- Patient-Centered Outcomes Research (2)
- Patient Safety (4)
- Quality Improvement (3)
- Quality Indicators (QIs) (1)
- Quality of Care (4)
- Racial and Ethnic Minorities (3)
- Registries (2)
- Research Methodologies (1)
- Sepsis (2)
- Social Determinants of Health (1)
- Surgery (1)
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 9 of 9 Research Studies DisplayedHsu YJ, Kosinski AS, Wallace AS
Using a society database to evaluate a patient safety collaborative: the Cardiovascular Surgical Translational Study.
The authors assessed the utility of using external databases for quality improvement (QI) evaluations in the context of an innovative QI collaborative aimed to reduce three infections and improve patient safety across the cardiac surgery service line. They compared changes in each outcome between 15 intervention hospitals and 52 propensity score-matched hospitals, and found that improvement trends in several outcomes among the studied intervention hospitals were not statistically different from those in comparison hospitals. They conclude that using external databases may permit comparative effectiveness assessment by providing concurrent comparison groups, additional outcome measures, and longer follow-up.
AHRQ-funded; HS019934.
Citation: Hsu YJ, Kosinski AS, Wallace AS .
Using a society database to evaluate a patient safety collaborative: the Cardiovascular Surgical Translational Study.
J Comp Eff Res 2019 Jan;8(1):21-32. doi: 10.2217/cer-2018-0051..
Keywords: Patient Safety, Quality Improvement, Quality Indicators (QIs), Quality of Care, Surgery, Cardiovascular Conditions, Comparative Effectiveness, Data, Hospitals, Research Methodologies, Patient-Centered Outcomes Research
Liang C, Gong Y
Predicting harm scores from patient safety event reports.
The Harm Scale developed by the AHRQ is widely used in the US hospitals. However, recent studies have indicated a moderate to poor inter-rater reliability of the scale across a number of US hospitals. This study proposed that key information to identify and refine the severity of harm is contained in the narrative data in patient safety reports. The researchers found that using automated text classification to categorize harm score provided reduced subjective judgments and improved efficiency.
AHRQ-funded; HS022895.
Citation: Liang C, Gong Y .
Predicting harm scores from patient safety event reports.
Stud Health Technol Inform 2017;245:1075-79..
Keywords: Adverse Events, Data, Hospitals, Patient Safety
Rhee C, Dantes R, Epstein L
Incidence and trends of sepsis in US hospitals using clinical vs claims data, 2009-2014.
The researchers estimated the US national incidence of sepsis and trends using detailed clinical data from the electronic health record (EHR) systems of diverse hospitals. In clinical data from 409 hospitals, sepsis was present in 6 percent of adult hospitalizations, and in contrast to claims-based analyses, neither the incidence of sepsis nor the combined outcome of death or discharge to hospice changed significantly between 2009-2014.
AHRQ-funded; HS025008.
Citation: Rhee C, Dantes R, Epstein L .
Incidence and trends of sepsis in US hospitals using clinical vs claims data, 2009-2014.
JAMA 2017 Oct 3;318(13):1241-49. doi: 10.1001/jama.2017.13836.
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Keywords: Data, Electronic Health Records (EHRs), Hospitals, Mortality, Sepsis
Couture B, Fagan M, Gershanik E
Towards analytics of the patient and family perspective: a case study and recommendations for data capture of safety and quality concerns.
Patient Family Relations (PFR) programs provide the opportunity to capture patient/family safety concerns in the hospital. This study analyzed PFR concern submissions over a 20 month period, as well as a comparison of structured data fields to those of the AHRQ Common Format. The authors identified statistically significant differences in rates of concern submissions, methods of submission, and role of submitter across patient populations.
AHRQ-funded; HS023535.
Citation: Couture B, Fagan M, Gershanik E .
Towards analytics of the patient and family perspective: a case study and recommendations for data capture of safety and quality concerns.
AMIA Annu Symp Proc 2017 Apr 16;2017:615-24..
Keywords: Data, Quality of Care, Hospitals, Patient Safety
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
Sundararajan V, Romano PS, Quan H
Capturing diagnosis-timing in ICD-coded hospital data: recommendations from the WHO ICD-11 topic advisory group on quality and safety.
The purpose of this project was to develop a consensus opinion regarding capturing diagnosis-timing in coded hospital data. The WHO Quality and Safety Topic Advisory Group has undertaken a narrative literature review, scanned national experiences focusing on countries currently using timing flags, and held a series of meetings to derive formal recommendations regarding diagnosis-timing reporting. This paper discusses their concerns and recommendations.
AHRQ-funded; HS020543.
Citation: Sundararajan V, Romano PS, Quan H .
Capturing diagnosis-timing in ICD-coded hospital data: recommendations from the WHO ICD-11 topic advisory group on quality and safety.
Int J Qual Health Care 2015 Aug;27(4):328-33. doi: 10.1093/intqhc/mzv037..
Keywords: Patient Safety, Quality of Care, Quality Improvement, Hospitals, Data
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
Wang HE, Donnelly JP, Shapiro NI
Hospital variations in severe sepsis mortality.
The authors characterized variations in severe sepsis mortality between hospitals in the United States. They used hospital discharge data from the University HealthSystem Consortium and found variations in institutional severe sepsis observed mortality rates and observed-to-expected mortality ratios.
AHRQ-funded; HS019465; HS013852.
Citation: Wang HE, Donnelly JP, Shapiro NI .
Hospital variations in severe sepsis mortality.
Am J Med Qual 2015 Jul-Aug;30(4):328-36. doi: 10.1177/1062860614534461.
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Keywords: Data, Hospitals, Mortality, Patient-Centered Outcomes Research, Sepsis
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