National Healthcare Quality and Disparities Report
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- Access to Care (13)
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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
376 to 381 of 381 Research Studies DisplayedNett S, Emeriaud G, Jarvis JD
Site-level variance for adverse tracheal intubation-associated events across 15 North American PICUs: a report from the national emergency airway registry for children*.
This observational study of 15 pediatric intensive care units (PICUs) found that substantial site-level variance exists in tracheal intubation practice, adverse tracheal intubation associated-events and severe tracheal intubation associated-events. After adjusting for patient and provider characteristics, neither PICU size nor presence of fellowship training program explained site-level variance.
AHRQ-funded; HS021583
Citation: Nett S, Emeriaud G, Jarvis JD .
Site-level variance for adverse tracheal intubation-associated events across 15 North American PICUs: a report from the national emergency airway registry for children*.
Pediatr Crit Care Med. 2014 May;15(4):306-13. doi: 10.1097/pcc.0000000000000120..
Keywords: Children/Adolescents, Intensive Care Unit (ICU), Registries, Adverse Events
Li L, Vollmer WM, Butler MG
A comparison of confounding adjustment methods for assessment of asthma controller medication effectiveness.
Using three confounding adjustment procedures—covariate-adjusted regression, propensity score regression, and high-dimemsional propensity score regression—on a population of 24,680 children with asthma, researchers found that patients treated with leukotriene antagonists were no more likely than those treated with inhaled corticosteroids to experience adverse outcomes.
AHRQ-funded; HS019669
Citation: Li L, Vollmer WM, Butler MG .
A comparison of confounding adjustment methods for assessment of asthma controller medication effectiveness.
Am J Epidemiol. 2014 Mar 1;179(5):648-59. doi: 10.1093/aje/kwt323..
Keywords: Comparative Effectiveness, Outcomes, Children/Adolescents, Asthma, Medication
Dougherty D, Chen X, Gray DT
AHRQ Author: Dougherty D, Gray DT
Child and adolescent health care quality and disparities: are we making progress?
The authors sought to examine trends over time in health care quality and disparities by race, Hispanic ethnicity, income, insurance, gender, rurality, and special health care needs. Using data from the 2011 National Healthcare Quality Report and Naitonal Healthcare Disparities Reprot, they found that there was some progress in health care quality and reducing disparities in children's health care quality from 2000 to 2009, but opportunities for targeting improvement strategies remain.
AHRQ-authored.
Citation: Dougherty D, Chen X, Gray DT .
Child and adolescent health care quality and disparities: are we making progress?
Acad Pediatr 2014 Mar-Apr;14(2):137-48. doi: 10.1016/j.acap.2013.11.008.
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Keywords: Children/Adolescents, Children's Health Insurance Program (CHIP), Disparities, Quality of Care
Bauer NS, Carroll AE, Downs SM
Understanding the acceptability of a computer decision support system in pediatric primary care.
In this study, the investigators examine the attitudes and opinions of pediatric users' toward the Child Health Improvement through Computer Automation (CHICA) system, a computer decision support system linked to an electronic health record in four community pediatric clinics. The investigators found that pediatric users appreciated the system's automation and enhancements that allowed relevant and meaningful clinical data to be accessible at point of care.
AHRQ-funded; HS018453; HS017939.
Citation: Bauer NS, Carroll AE, Downs SM .
Understanding the acceptability of a computer decision support system in pediatric primary care.
J Am Med Inform Assoc 2014 Jan-Feb;21(1):146-53. doi: 10.1136/amiajnl-2013-001851..
Keywords: Children/Adolescents, Clinical Decision Support (CDS), Shared Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT), Primary Care
Bauer NS, Carroll AE, Downs SM
Understanding the acceptability of a computer decision support system in pediatric primary care.
In this study, the investigators examine the attitudes and opinions of pediatric users' toward the Child Health Improvement through Computer Automation (CHICA) system, a computer decision support system linked to an electronic health record in four community pediatric clinics. The investigators found that pediatric users appreciated the system's automation and enhancements that allowed relevant and meaningful clinical data to be accessible at point of care.
AHRQ-funded; HS018453; HS017939.
Citation: Bauer NS, Carroll AE, Downs SM .
Understanding the acceptability of a computer decision support system in pediatric primary care.
J Am Med Inform Assoc 2014 Jan-Feb;21(1):146-53. doi: 10.1136/amiajnl-2013-001851..
Keywords: Children/Adolescents, Clinical Decision Support (CDS), Shared Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT), Primary Care
Lawrence JM, Black MH, Zhang JL
Validation of pediatric diabetes case identification approaches for diagnosed cases by using information in the electronic health records of a large integrated managed health care organization.
The researchers explored the utility of different algorithms for diabetes case identification by using electronic health records. They found that case identification accuracy was highest in 75% of bootstrapped samples for those who had 1 or more outpatient diabetes diagnoses or 1 or more insulin prescriptions and in 25% of samples for those who had 2 or more outpatient diabetes diagnoses and 1 or more antidiabetic medications.
AHRQ-funded; HS019859.
Citation: Lawrence JM, Black MH, Zhang JL .
Validation of pediatric diabetes case identification approaches for diagnosed cases by using information in the electronic health records of a large integrated managed health care organization.
Am J Epidemiol 2014 Jan;179(1):27-38. doi: 10.1093/aje/kwt230..
Keywords: Children/Adolescents, Diabetes, Chronic Conditions, Electronic Health Records (EHRs), Health Information Technology (HIT), Diagnostic Safety and Quality