National Healthcare Quality and Disparities Report
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AHRQ Research Studies Date
Topics
- Adverse Events (1)
- Arthritis (1)
- Cancer: Colorectal Cancer (1)
- Cardiovascular Conditions (4)
- Children/Adolescents (3)
- Critical Care (1)
- Data (3)
- Education: Continuing Medical Education (1)
- Electronic Health Records (EHRs) (3)
- Healthcare-Associated Infections (HAIs) (1)
- Healthcare Costs (1)
- Healthcare Delivery (1)
- Health Information Technology (HIT) (3)
- Health Services Research (HSR) (1)
- Heart Disease and Health (2)
- Hospital Discharge (2)
- Hospitals (1)
- Injuries and Wounds (1)
- Intensive Care Unit (ICU) (1)
- Medication (1)
- Newborns/Infants (1)
- Outcomes (2)
- Palliative Care (1)
- Patient-Centered Outcomes Research (1)
- Patient Safety (1)
- Practice Patterns (1)
- (-) Quality Improvement (12)
- Quality Measures (1)
- Quality of Care (7)
- Racial and Ethnic Minorities (2)
- (-) Registries (12)
- Simulation (1)
- Social Determinants of Health (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 12 of 12 Research Studies Displayedde Loizaga SR, Schneider K, Beck AF
Socioeconomic impact on outcomes during the first year of life of patients with single ventricle heart disease: an analysis of the National Pediatric Cardiology Quality Improvement Collaborative Registry.
In a retrospective cohort analysis of infants enrolled in the National Pediatric Cardiology Improvement Collaborative, researchers investigated the impact of community-level deprivation on morbidity and mortality for infants with single ventricle heart disease in the first year of life. They found that community deprivation was associated with mortality and length of stay for patients with single ventricle congenital heart disease. While patients near the mean deprivation index had a higher hazard of one year mortality compared to those at the extremes of the deprivation index, length of stay and deprivation index were linearly associated, demonstrating the complex nature of socioeconomic factors.
AHRQ-funded; HS021114.
Citation: de Loizaga SR, Schneider K, Beck AF .
Socioeconomic impact on outcomes during the first year of life of patients with single ventricle heart disease: an analysis of the National Pediatric Cardiology Quality Improvement Collaborative Registry.
Pediatr Cardiol 2022 Mar;43(3):605-15. doi: 10.1007/s00246-021-02763-2..
Keywords: Children/Adolescents, Social Determinants of Health, Quality Improvement, Quality of Care, Cardiovascular Conditions, Registries, Outcomes
Colman N, Newman JW, Nishisaki A
Translational simulation improves compliance with the NEAR4KIDS Airway Safety Bundle in a single-center PICU.
This single-center retrospective review discusses a translational simulation conducted to improve compliance with the National Emergency Airway Registry for Children (NEAR4KIDS) Airway Safety Quality Improvement (QI) bundle to improve the safety of tracheal intubations. The simulation was implemented between March and December 2018. Bundle adherence was assessed 12 months before simulation and 9 months after. Primary outcomes measures were compliance with the bundle and utilization of apneic oxygenation and secondary outcomes was the occurrence of adverse tracheal intubation-associated events. Preintervention bundle compliance was 66%, which increased to 93.7% after the simulation intervention. Adherence to apneic oxygenation was 27.9% before the intervention and increased to 77.9% after. There was no difference in the occurrence of tracheal intubation events.
AHRQ-funded; HS024511.
Citation: Colman N, Newman JW, Nishisaki A .
Translational simulation improves compliance with the NEAR4KIDS Airway Safety Bundle in a single-center PICU.
Pediatr Qual Saf 2021 May-Jun;6(3):e409. doi: 10.1097/pq9.0000000000000409..
Keywords: Children/Adolescents, Intensive Care Unit (ICU), Critical Care, Registries, Simulation, Patient Safety, Quality Improvement, Quality of Care
Hansen JE, Brown DW, Hanke SP
Angiotensin-converting enzyme inhibitor prescription for patients with single ventricle physiology enrolled in the NPC-QIC registry.
This study examined trends in the routine use of angiotension-converting enzyme inhibitors (ACEI) during palliation of hypoplastic left heart syndrome, which is considered controversial. The authors used patients enrolled in the National Pediatric Cardiology Quality Improvement Collaborative (NPC-QIC) registry from 2008 to 2016 who had been prescribed ACEI between stage 1 palliation (stage I Norwood procedure) discharge and stage 2 palliation (stage II superior cavopulmonary anastomosis procedure) admission. ACEI prescriptions declined from 45% in the pre-2010 period to 36.8% from 2011 to 2016. No difference was found in interstage mortality, change in atrioventricular valve regurgitation, or change in ventricular dysfunction between groups. Atrioventricular septal defect, and preoperative mechanical ventilation were associated with increased ACEI prescription.
AHRQ-funded; HS021114.
Citation: Hansen JE, Brown DW, Hanke SP .
Angiotensin-converting enzyme inhibitor prescription for patients with single ventricle physiology enrolled in the NPC-QIC registry.
J Am Heart Assoc 2020 May 18;9(10):e014823. doi: 10.1161/jaha.119.014823..
Keywords: Newborns/Infants, Medication, Heart Disease and Health, Cardiovascular Conditions, Practice Patterns, Registries, Quality Improvement, Quality of Care
Amin AP, Spertus JA, Kulkarni H
Improving care pathways for acute coronary syndrome: patients undergoing percutaneous coronary intervention.
This study examined ways to improve care pathways for acute coronary syndrome (ACS) patients who are low-risk with no complications. They looked at 434,172 low-risk uncomplicated ACS patients eligible for early discharge from the Premier database and identified ACS care pathways. They compared percutaneous coronary intervention (PCI) types (trans-radial intervention [TRI] vs. transfemoral intervention (TFI) and by length of stay (LOS). Associations with costs and outcomes were tested using hierarchical, mixed-effects regression and projections of cost savings were obtained using modeling. More cost-savings were associated with TRI versus TFI. There was not an increased risk of adverse outcomes with a shorter LOS.
AHRQ-funded; HS022481.
Citation: Amin AP, Spertus JA, Kulkarni H .
Improving care pathways for acute coronary syndrome: patients undergoing percutaneous coronary intervention.
Am J Cardiol 2020 Feb;125(3):354-61. doi: 10.1016/j.amjcard.2019.10.019..
Keywords: Heart Disease and Health, Cardiovascular Conditions, Quality Improvement, Quality of Care, Healthcare Delivery, Registries, Healthcare Costs
Anderson JB, Brown DW, Lihn S
Power of a learning network in congenital heart disease.
This paper discusses the efforts of the National Pediatric Cardiology Quality Improvement Collaborative (NPC-QIC). The collaborative formed to improve outcomes in infants with hypoplastic left heart syndrome. It sought to (1) decrease mortality, (2) reduce growth failure, and (3) reduce hospital readmissions due to major medical problems during the interstage period between discharge following stage 1 palliation (S1P) and admission for stage 2 palliation (S2P).
AHRQ-funded; HS016957.
Citation: Anderson JB, Brown DW, Lihn S .
Power of a learning network in congenital heart disease.
World J Pediatr Congenit Heart Surg 2019 Jan;10(1):66-71. doi: 10.1177/2150135118815023..
Keywords: Cardiovascular Conditions, Children/Adolescents, Education: Continuing Medical Education, Palliative Care, Quality Improvement, Registries
Devine EB, Van Eaton E, Zadworny ME
Automating electronic clinical data capture for quality improvement and research: The CERTAIN Validation Project of Real World Evidence.
Washington State's Surgical Care Outcomes and Assessment Program (SCOAP) is a network of hospitals participating in quality improvement (QI) registries wherein data are manually abstracted from EHRs. To create the Comparative Effectiveness Research and Translation Network (CERTAIN), researchers semi-automated SCOAP data abstraction using a centralized federated data model, created a central data repository (CDR), and assessed whether these data could be used as real world evidence for QI and research. They concluded that semi-automated data abstraction may be useful, although raw data collected as a byproduct of health care delivery is not immediately available for use as real world evidence. New approaches to gathering and analyzing extant data are required.
AHRQ-funded; HS020025.
Citation: Devine EB, Van Eaton E, Zadworny ME .
Automating electronic clinical data capture for quality improvement and research: The CERTAIN Validation Project of Real World Evidence.
eGEMS 2018 May 22;6(1):8. doi: 10.5334/egems.211..
Keywords: Patient-Centered Outcomes Research, Quality Improvement, Registries, Surgery, Electronic Health Records (EHRs)
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
Tonner C, Schmajuk G, Yazdany J
A new era of quality measurement in rheumatology: electronic clinical quality measures and national registries.
This article reviews the evolution of quality measurement in rheumatology, highlighting new health-information technology infrastructure and standards that are enabling unprecedented innovation in this field. Its authors assert that quality measurement and improvement is increasingly an essential component of rheumatology practice. Advances in health information technology are likely to continue to make implementation of electronic clinical quality measures (eCQMs) easier and measurement more clinically meaningful and accurate in coming years.
AHRQ-funded; HS024412.
Citation: Tonner C, Schmajuk G, Yazdany J .
A new era of quality measurement in rheumatology: electronic clinical quality measures and national registries.
Curr Opin Rheumatol 2017 Mar;29(2):131-37. doi: 10.1097/bor.0000000000000364.
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Keywords: Quality Measures, Registries, Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Improvement
Yazdany J, Bansback N, Clowse M
Rheumatology informatics system for effectiveness: a national informatics-enabled registry for quality improvement.
The authors reported on the Rheumatology Informatics System for Effectiveness (RISE) registry's architecture and initial data and demonstrated how RISE is being used to improve care quality. They concluded that RISE provides critical infrastructure for improving care quality in rheumatology and is a unique data source to generate new knowledge.
AHRQ-funded; HS024412.
Citation: Yazdany J, Bansback N, Clowse M .
Rheumatology informatics system for effectiveness: a national informatics-enabled registry for quality improvement.
Arthritis Care Res 2016 Dec;68(12):1866-73. doi: 10.1002/acr.23089.
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Keywords: Quality of Care, Health Information Technology (HIT), Quality Improvement, Registries, Arthritis
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
Merkow RP, Kmiecik TE, Bentrem DJ
Effect of including cancer-specific variables on models examining short-term outcomes.
The objectives of this paper were 1) to examine differences between existing American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) variables and cancer registry variables, and 2) to determine whether the addition of cancer-specific variables improves modeling of short-term outcomes. The researchers found that, although advanced disease stage and neoadjuvant therapy variables were predictors of short-term outcomes, their inclusion did not improve the models.
AHRQ-funded; HS021857.
Citation: Merkow RP, Kmiecik TE, Bentrem DJ .
Effect of including cancer-specific variables on models examining short-term outcomes.
Cancer 2013 Apr 1;119(7):1412-9. doi: 10.1002/cncr.27891.
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Keywords: Cancer: Colorectal Cancer, Outcomes, Quality Improvement, Registries