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
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 DisplayedMorden E, Byron S, Roth L
Health plans struggle to report on depression quality measures that require clinical data.
This study examined challenges and opportunities for reporting 5 HEDIS measures which used electronic clinical data to assess adolescent and perinatal depression care quality. Two learning collaboratives were convened with 10 health plans from 5 states. The authors conducted analysis of notes from collaborative meetings and individual calls with health plans to identify key challenges and strategies for reporting. The challenges most reported included: 1) lack of access to clinical data sources where the results of patient-reported tools were documented; 2) unavailability of the results of patient-reported tools in usable data fields; 3) lack of routine depression screening and ongoing assessment occurring in provider practices.
AHRQ-funded; HS025296.
Citation: Morden E, Byron S, Roth L .
Health plans struggle to report on depression quality measures that require clinical data.
Acad Pediatr 2022 Apr;22(3s):S133-s39. doi: 10.1016/j.acap.2021.09.022..
Keywords: Children/Adolescents, Depression, Behavioral Health, Quality Indicators (QIs), Quality Measures, Quality of Care
Coley RY, Boggs JM, Beck A
Defining success in measurement-based care for depression: a comparison of common metrics.
This study compared response and remission measures with effect size and severity-adjusted effect size (SAES) measures and examined the relationship between baseline symptom severity and treatment success for depression. Electronic records from two large integrated health systems were used to identify new psychotherapy episodes. Findings showed that response was preferable for comparing treatment outcomes, as it did not favor more or less baseline symptom severity, indicated clinically meaningful improvement, and was transparent and easy to calculate.
AHRQ-funded; HS026369.
Citation: Coley RY, Boggs JM, Beck A .
Defining success in measurement-based care for depression: a comparison of common metrics.
Psychiatr Serv 2020 Apr;71(4):312-18. doi: 10.1176/appi.ps.201900295..
Keywords: Depression, Behavioral Health, Patient-Centered Outcomes Research, Outcomes, Quality of Care, Quality Measures