National Healthcare Quality and Disparities Report
Latest available findings on quality of and access to health care
Data
- Data Infographics
- Data Visualizations
- Data Tools
- Data Innovations
- All-Payer Claims Database
- Healthcare Cost and Utilization Project (HCUP)
- Medical Expenditure Panel Survey (MEPS)
- AHRQ Quality Indicator Tools for Data Analytics
- State Snapshots
- United States Health Information Knowledgebase (USHIK)
- Data Sources Available from AHRQ
Search All Research Studies
Topics
- Asthma (1)
- Children/Adolescents (1)
- Clinical Decision Support (CDS) (1)
- Disparities (1)
- Emergency Department (1)
- (-) Evidence-Based Practice (2)
- Healthcare Delivery (1)
- Health Information Technology (HIT) (1)
- Outcomes (1)
- Patient-Centered Outcomes Research (1)
- (-) Racial and Ethnic Minorities (2)
- Respiratory Conditions (1)
AHRQ Research Studies
Sign up: AHRQ Research Studies Email updates
Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 2 of 2 Research Studies DisplayedKrishnan JA, Margellos-Anast H, Kumar R
Coordinated Health Care Interventions for Childhood Asthma Gaps in Outcomes (CHICAGO) plan.
The purpose of this clinical trial was to compare an emergency-department- (ED) only intervention and home visits by community health workers for 6 months (ED-plus-home) and enhanced usual care (UC). The study enrolled children aged 5 to 11 years with uncontrolled asthma. The primary outcomes were change over 6 months in the Patient-Reported Outcomes Measurement Information System Asthma Impact Scale score in children and Satisfaction with Participation in Social Roles score in caregivers. The secondary outcomes included guideline-recommended ED discharge care and self-management. The study found that of the 373 children recruited, only 63% completed the 6-month follow-up visit. Differences in Asthma Impact Scores or caregivers' Satisfaction with Participation in Social Roles scores were not significant. However, in the intervention groups guideline-recommended ED discharge care improved significantly versus in the UC group, and self-management behaviors were significantly improved in the ED-plus-home group versus in the ED-only and UC groups.
AHRQ-funded; HS027804.
Citation: Krishnan JA, Margellos-Anast H, Kumar R .
Coordinated Health Care Interventions for Childhood Asthma Gaps in Outcomes (CHICAGO) plan.
J Allergy Clin Immunol Glob 2023 Aug; 2(3). doi: 10.1016/j.jacig.2023.100100..
Keywords: Children/Adolescents, Asthma, Respiratory Conditions, Outcomes, Patient-Centered Outcomes Research, Evidence-Based Practice, Emergency Department, Clinical Decision Support (CDS), Health Information Technology (HIT), Racial and Ethnic Minorities
Jain A, Brooks JR, Alford CC
AHRQ Author: Jain A, Alford CC, Chang CS, Mueller NM, Umscheid CA, Bierman AS
Awareness of racial and ethnic bias and potential solutions to address bias with use of health care algorithms.
This AHRQ-authored study examined the increased use of health care algorithms in health decision tools, and whether including a patient's race or ethnicity among their inputs can lead clinicians and decision-makers to make choices that vary by race and potentially affect inequities. This qualitative survey included 42 organization representatives (e.g., clinical professional societies, universities, government agencies, payers, and health technology organizations) and individuals. The respondents identified 18 algorithms currently in use with the potential for bias. Seven qualitative themes with 31 subthemes were identified including: (1) algorithms are in widespread use and have significant repercussions, (2) bias can result from algorithms whether or not they explicitly include race, (3) clinicians and patients are often unaware of the use of algorithms and potential for bias, (4) race is a social construct used as a proxy for clinical variables, (5) there is a lack of standardization in how race and social determinants of health are collected and defined, (6) bias can be introduced at all stages of algorithm development, and (7) algorithms should be discussed as part of shared decision-making between the patient and clinician.
AHRQ-authored.
Citation: Jain A, Brooks JR, Alford CC .
Awareness of racial and ethnic bias and potential solutions to address bias with use of health care algorithms.
JAMA Health Forum 2023 Jun 2; 4(6):e231197. doi: 10.1001/jamahealthforum.2023.1197..
Keywords: Racial and Ethnic Minorities, Disparities, Healthcare Delivery, Evidence-Based Practice