National Healthcare Quality and Disparities Report
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Topics
- Adverse Events (2)
- Anxiety (1)
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- Cancer: Breast Cancer (1)
- Children/Adolescents (2)
- Chronic Conditions (1)
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- (-) Diagnostic Safety and Quality (7)
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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 7 of 7 Research Studies DisplayedLiu FF, Lew A, Andes E
Implementation strategies for depression and anxiety screening in a pediatric cystic fibrosis center: a quality improvement project.
The objective of this study was to share key strategies that led to successful mental health screening (MHS) implementation in one pediatric cystic fibrosis center and to report implementation and screening outcomes. Results showed that leveraging coproduction to address stakeholder needs led to successful implementation of a sustainable MHS process.
AHRQ-funded; HS026393.
Citation: Liu FF, Lew A, Andes E .
Implementation strategies for depression and anxiety screening in a pediatric cystic fibrosis center: a quality improvement project.
Pediatr Pulmonol 2020 Dec;55(12):3328-36. doi: 10.1002/ppul.24951..
Keywords: Children/Adolescents, Respiratory Conditions, Chronic Conditions, Depression, Anxiety, Behavioral Health, Screening, Implementation, Quality Improvement, Quality of Care, Diagnostic Safety and Quality
Rauscher GH, Tossas-Milligan K, Macarol T
Trends in attaining mammography quality benchmarks with repeated participation in a quality measurement program: going beyond the mammography quality standards act to address breast cancer disparities.
The Mammography Quality Standards Act requires that mammography facilities conduct audits, but there are no specifications on the metrics to be measured. In this study, the authors present trends from the first 5 years of data collection to examine whether continued participation in this quality improvement program was associated with an increase in the number of benchmarks met for breast cancer screening.
AHRQ-funded; HS018366.
Citation: Rauscher GH, Tossas-Milligan K, Macarol T .
Trends in attaining mammography quality benchmarks with repeated participation in a quality measurement program: going beyond the mammography quality standards act to address breast cancer disparities.
J Am Coll Radiol 2020 Nov;17(11):1420-28. doi: 10.1016/j.jacr.2020.07.019..
Keywords: Cancer: Breast Cancer, Cancer, Women, Screening, Quality Measures, Quality Improvement, Quality of Care, Diagnostic Safety and Quality
Bronsert M, Singh AB, Henderson WG
Identification of postoperative complications using electronic health record data and machine learning.
Investigators developed a machine learning algorithm for identifying patients with one or more complications using data from the electronic health record (EHR). They concluded that using machine learning on EHR postoperative data linked to American College of Surgeons National Surgical Quality Improvement Program outcomes data, a model with 163 predictors from the EHR identified complications well at their institution.
AHRQ-funded; HS026019.
Citation: Bronsert M, Singh AB, Henderson WG .
Identification of postoperative complications using electronic health record data and machine learning.
Am J Surg 2020 Jul;220(1):114-19. doi: 10.1016/j.amjsurg.2019.10.009..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Surgery, Quality Improvement, Quality of Care, Diagnostic Safety and Quality
Dadlez NM, Adelman J, Bundy DG
Contributing factors for pediatric ambulatory diagnostic process errors: Project RedDE.
This study examined root causes of three common pediatric diagnostic errors by having 31 practices enrolled in a national QI collaborative perform monthly “mini-RCAs” (mini root cause analyses). The diagnoses errors studied were missed adolescent depression, missed elevated blood pressure, and missed actionable laboratory values. Twenty-eight practices submitted 184 mini-RCAs with the most common causes being patient volume (adolescent depression and elevated BP), inadequate staffing (adolescent depression), clinic milieu (elevated BP), written communication and provider knowledge (actionable laboratory values), and electronic health records (EHRs) – (elevated BP and actionable laboratory values). The median number of mini-RCAs submitted was 6.
AHRQ-funded; HS024538; HS024713; HS026121.
Citation: Dadlez NM, Adelman J, Bundy DG .
Contributing factors for pediatric ambulatory diagnostic process errors: Project RedDE.
Pediatr Qual Saf 2020 May-Jun;5(3):e299. doi: 10.1097/pq9.0000000000000299..
Keywords: Children/Adolescents, Diagnostic Safety and Quality, Quality Improvement, Quality of Care, Medical Errors, Adverse Events, Patient Safety
Kocher KE, Arora R, Bassin BS
Baseline performance of real-world clinical practice within a statewide emergency medicine quality network: the Michigan Emergency Department Improvement Collaborative (MEDIC).
The Michigan Emergency Department Improvement Collaborative (MEDIC) has baseline performance data to identify practice variation across 15 diverse emergency departments on key emergency care quality indicators. The authors assessed MEDIC quality measures and found that performance varied greatly, with demonstrated opportunity for improvement. They conclude that MEDIC provides a robust platform for emergency physician engagement across emergency department practice settings to improve care and is a model for other states.
AHRQ-funded; HS024160.
Citation: Kocher KE, Arora R, Bassin BS .
Baseline performance of real-world clinical practice within a statewide emergency medicine quality network: the Michigan Emergency Department Improvement Collaborative (MEDIC).
Ann Emerg Med 2020 Feb;75(2):192-205. doi: 10.1016/j.annemergmed.2019.04.033..
Keywords: Emergency Department, Quality Improvement, Quality Indicators (QIs), Quality Measures, Quality of Care, Imaging, Diagnostic Safety and Quality
Colton K, Richards CT, Pruitt PB
Early stroke recognition and time-based emergency care performance metrics for intracerebral hemorrhage.
This study compared time for early stroke recognition for intracerebral hemorrhage for hospitals with and without stroke teams. An observational cohort study was conducted at an urban comprehensive stroke center from 2009 to 2017 with 204 cases included. Stroke team activation resulted in faster emergency care compared to no activation. This process resulted in shorter onset-to-arrival times, higher NIH Stroke Scale scores, and higher Glasgow Coma Scale scores.
AHRQ-funded; HS023437.
Citation: Colton K, Richards CT, Pruitt PB .
Early stroke recognition and time-based emergency care performance metrics for intracerebral hemorrhage.
J Stroke Cerebrovasc Dis 2020 Feb;29(2):104552. doi: 10.1016/j.jstrokecerebrovasdis.2019.104552..
Keywords: Stroke, Emergency Department, Provider Performance, Diagnostic Safety and Quality, Quality Improvement, Quality Indicators (QIs), Patient-Centered Outcomes Research, Outcomes, Quality of Care, Evidence-Based Practice, Hospitals
Sheehan SE, Safdar N, Singh H
Detection and remediation of misidentification errors in radiology examination ordering.
In this study, the investigators described the pilot testing of a quality improvement methodology using electronic trigger tools and preimaging checklists to detect "wrong-side" misidentification errors in radiology examination ordering, and to measure staff adherence to departmental policy in error remediation. The investigators concluded that their trigger tool enabled the detection of substantially more imaging ordering misidentification errors than preimaging safety checklists alone, with a high positive predictive value.
AHRQ-funded; HS022087; HS017820.
Citation: Sheehan SE, Safdar N, Singh H .
Detection and remediation of misidentification errors in radiology examination ordering.
Appl Clin Inform 2020 Jan;11(1):79-87. doi: 10.1055/s-0039-3402730..
Keywords: Medical Errors, Adverse Events, Diagnostic Safety and Quality, Patient Safety, Imaging, Quality Improvement, Quality of Care