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 Date
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 DisplayedFranc BL, Thombley R, Luo Y
Using diagnosis codes in claims data to identify cohorts of breast cancer patients following initial treatment.
This article describes how researchers trying to study patterns of care and medical service utilization can use diagnosis codes to help identify patients who had undergone initial breast cancer treatment during the first 5 years after treatment for the primary cancer. The authors used claims data of 51,278 newly diagnosed breast cancer (BC) patients from the BC subset of the 2000-2014 SEER-Medicare linked database. From that database they determined the fraction of BC patients who could be identified using BC-specific does 174.x and v10.3 during the year of diagnosis/treatment and during each of the following 5 years after treatment. They then developed a list of diagnosis codes that were found more often in claims from BC patients than in claims of a cohort of patients without a BC diagnosis. They were able to identify BC patients as belonging to 5 different subgroups. In any single year 72.8-99.1% of BC patients had a claim with a174.x diagnosis code. Another 0-11% of BC patients had a v10.3 code. From their findings they concluded that BC patients can be robustly identified within claims databases.
AHRQ-funded; HS024936.
Citation: Franc BL, Thombley R, Luo Y .
Using diagnosis codes in claims data to identify cohorts of breast cancer patients following initial treatment.
Breast J 2020 Jul;26(7):1472-74. doi: 10.1111/tbj.13758..
Keywords: Cancer: Breast Cancer, Cancer, Diagnostic Safety and Quality, Women, Research Methodologies
Munger Clary HM, Croxton RD, Allan J
Who is willing to participate in research? A screening model for an anxiety and depression trial in the epilepsy clinic.
This study assessed the willingness of epilepsy patients positively screened for anxiety and/or depression to participate in a research study. A total of 199 patients screened positively during a routine epilepsy screening visit and 154 (77.4%) opted-in for further research assessment. Nearly half of those 199 individuals were already being treated for anxiety and/or depression, with 46.7% receiving neither antidepressants or therapy. Higher depression scores and current treatment were independently associated with opting in. One-quarter reported a past psychiatric hospitalization, but only half of those individuals were currently receiving mental health specialty care.
AHRQ-funded; HS025723.
Citation: Munger Clary HM, Croxton RD, Allan J .
Who is willing to participate in research? A screening model for an anxiety and depression trial in the epilepsy clinic.
Epilepsy Behav 2020 Mar;104(Pt A):106907. doi: 10.1016/j.yebeh.2020.106907..
Keywords: Anxiety, Depression, Behavioral Health, Neurological Disorders, Chronic Conditions, Screening, Diagnostic Safety and Quality, Health Services Research (HSR), Research Methodologies