National Healthcare Quality and Disparities Report
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Search All Research Studies
Topics
- Adverse Events (2)
- Cardiovascular Conditions (1)
- Central Line-Associated Bloodstream Infections (CLABSI) (1)
- Children/Adolescents (1)
- Comparative Effectiveness (1)
- (-) Data (11)
- Elderly (1)
- Electronic Health Records (EHRs) (1)
- Healthcare-Associated Infections (HAIs) (2)
- Health Information Technology (HIT) (1)
- Health Services Research (HSR) (1)
- Hospital Discharge (1)
- Hospitals (4)
- Injuries and Wounds (1)
- Kidney Disease and Health (1)
- Medical Errors (1)
- Medicare (1)
- Patient-Centered Outcomes Research (1)
- Patient Safety (5)
- Provider Performance (1)
- Public Health (1)
- Quality Improvement (4)
- Quality Indicators (QIs) (1)
- (-) Quality of Care (11)
- Racial and Ethnic Minorities (1)
- Registries (2)
- Research Methodologies (1)
- Social Media (1)
- Surgery (2)
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 11 of 11 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
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
Hu Z, Melton GB, Arsoniadis EG
Strategies for handling missing clinical data for automated surgical site infection detection from the electronic health record.
Proper handling of missing data is important for many secondary uses of electronic health record (EHR) data. Data imputation methods can be used to handle missing data, but their use for postoperative complication detection is unclear. Overall, models with missing data imputation almost always outperformed reference models without imputation that included only cases with complete data for detection of SSI overall achieving very good average area under the curve values.
AHRQ-funded; HS024532.
Citation: Hu Z, Melton GB, Arsoniadis EG .
Strategies for handling missing clinical data for automated surgical site infection detection from the electronic health record.
J Biomed Inform 2017 Apr;68:112-20. doi: 10.1016/j.jbi.2017.03.009.
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Keywords: Data, Electronic Health Records (EHRs), Healthcare-Associated Infections (HAIs), Registries, Surgery, Injuries and Wounds, Health Information Technology (HIT), Quality Improvement, Quality of Care, Adverse Events
Kang H, Gong Y
A novel schema to enhance data quality of patient safety event reports.
In this study, the researchers designed a patient safety event (PSE) similarity searching model based on semantic similarity measures, and proposed a novel schema of PSE reporting system which can effectively learn from previous experiences and timely inform the subsequent actions. Their system will not only help promote the report qualities but also serve as a knowledge base and education tool to guide healthcare providers in terms of preventing the recurrence of PSEs.
AHRQ-funded; HS022895.
Citation: Kang H, Gong Y .
A novel schema to enhance data quality of patient safety event reports.
AMIA Annu Symp Proc 2017 Feb 10;2016:1840-49.
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Keywords: Quality of Care, Patient Safety, Data, Adverse Events, Medical Errors
Govindan S, Chopra V, Iwashyna TJ
Do clinicians understand quality metric data? An evaluation in a Twitter-derived sample.
The researchers assessed clinician comprehension of central line-associated blood stream infection (CLABSI) quality metric data. It found that the mean percentage of correct answers was 61 percent. Overall, doctor performance was better than performance by nurses and other respondents. In basic numeracy, mean percent correct was 82 percent. For risk-adjustment numeracy, the mean percent correct was 70 percent.
AHRQ-funded; HS022835.
Citation: Govindan S, Chopra V, Iwashyna TJ .
Do clinicians understand quality metric data? An evaluation in a Twitter-derived sample.
J Hosp Med 2017 Jan;12(1):18-22.
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Keywords: Central Line-Associated Bloodstream Infections (CLABSI), Data, Quality of Care, Provider Performance, Social Media
Chien AT, Kuhlthau KA, Toomey SL
Development of the children with disabilities algorithm.
The researchers developed the Children with Disabilities algorithm (CWDA), which uses International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes to identify CWD. They concluded that ICD-9-CM codes can be classified by their likelihood of indicating CWD. CWDA triangulates well with parent report and physician assessment of child disability status. CWDA is a new tool that can be used to assess care quality for CWD.
AHRQ-funded; HS020513.
Citation: Chien AT, Kuhlthau KA, Toomey SL .
Development of the children with disabilities algorithm.
Pediatrics 2015 Oct;136(4):e871-8. doi: 10.1542/peds.2015-0228..
Keywords: Children/Adolescents, Quality of Care, Data, Children/Adolescents
van Mourik MS, van Duijn PJ, Moons KG
Accuracy of administrative data for surveillance of healthcare-associated infections: a systematic review.
The researchers conducted a systematic review evaluating the diagnostic accuracy of administrative data for the detection of HAI. They concluded that administrative data had limited and highly variable accuracy for the detection of HAI, and their judicious use for internal surveillance efforts and external quality assessment is recommended.
AHRQ-funded; HS018414.
Citation: van Mourik MS, van Duijn PJ, Moons KG .
Accuracy of administrative data for surveillance of healthcare-associated infections: a systematic review.
BMJ Open 2015 Aug 27;5(8):e008424. doi: 10.1136/bmjopen-2015-008424..
Keywords: Healthcare-Associated Infections (HAIs), Data, Patient Safety, Quality of Care
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
Dixon BE, Vreeman DJ, Grannis SJ
The long road to semantic interoperability in support of public health: experiences from two states.
This article illustrates the current state of semantic interoperability using a case example drawn from public health and discusses three policy strategies for strengthening interoperability. It also presents recommendations for improving the use of clinical data and information for public health, including disease surveillance, community assessment and measurement of care quality.
AHRQ-funded; HS020909
Citation: Dixon BE, Vreeman DJ, Grannis SJ .
The long road to semantic interoperability in support of public health: experiences from two states.
J Biomed Inform. 2014 Jun;49:3-8. doi: 10.1016/j.jbi.2014.03.011..
Keywords: Public Health, Data, Quality of Care
Beaubrun AC, Kanda E, Bond TC
Form CMS-2728 data versus erythropoietin claims data: implications for quality of care studies.
The purpose of this study was to compare predialysis erythropoietin-simulating agents (ESA) care reported on Form CMS-2728 with Medicare claims for ESA treatment submitted for patients 67 years and older at initiation of dialysis with Medicare as the primary payer. It found that the agreement between Form CMS-2728 and claims data is poor and discordant results are observed when comparing the use of these data sources to predict health outcomes.
AHRQ-funded; HS000032.
Citation: Beaubrun AC, Kanda E, Bond TC .
Form CMS-2728 data versus erythropoietin claims data: implications for quality of care studies.
Ren Fail 2013;35(3):320-6. doi: 10.3109/0886022x.2012.747967..
Keywords: Medicare, Data, Elderly, Quality of Care, Kidney Disease and Health