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 DisplayedNa A, Middleton A, Haas A
Impact of diabetes on 90-day episodes of care after elective total joint arthroplasty among Medicare beneficiaries.
This study examined the impact of diabetes on 90-day episodes of care after elective total knee arthroplasty (TKA) and total hip arthroplasty (THA) in the United States. Complication (n = 521,230) and readmission (n = 515,691) data was extracted on Medicare beneficiaries using files from 2013 and 2014. Diabetes status was identified with ICD-9 codes. The odds ratio (OR) of TKA complications was significantly higher for patients with uncontrolled diabetes than those with no diabetes. The OR of THA complications was also significantly higher for controlled-complicated diabetes. OR of readmission was significantly higher for all diabetes groups.
AHRQ-funded; HS026133.
Citation: Na A, Middleton A, Haas A .
Impact of diabetes on 90-day episodes of care after elective total joint arthroplasty among Medicare beneficiaries.
J Bone Joint Surg Am 2020 Dec 16;102(24):2157-65. doi: 10.2106/jbjs.20.00203..
Keywords: Diabetes, Chronic Conditions, Orthopedics, Surgery
Lange JK, DiSegna ST, Yang W
Using cluster analysis to identify patient factors linked to differential functional gains after total knee arthroplasty.
This study used cluster analysis to identify patient factors linked to different outcomes following total knee arthroplasty (TKA). The study analyzed Short Form 36 Physical Component Score (PCS) trajectories of 656 patients at 3 time points over a 1-year period. The MultiExperiment View (MeV) built-in bootstrapping method was used to assess statistical significance of the clusters. They found two distinct clusters: Cluster 1 included 550 patients (84%) who demonstrated persistent improvement at 6 and 12 months. The remainder of patients consisted of Cluster 2 who demonstrated decline in PCS at 6 months but improved by 12 months. Cluster 1 was found to have higher baseline mental health scores, lower baseline PCS, and a significantly higher proportion of non-Hispanic Whites compared to Cluster 2.
AHRQ-funded; HS018910.
Citation: Lange JK, DiSegna ST, Yang W .
Using cluster analysis to identify patient factors linked to differential functional gains after total knee arthroplasty.
J Arthroplasty 2020 Jan;35(1):121-26.e6. doi: 10.1016/j.arth.2019.08.039..
Keywords: Orthopedics, Surgery, Arthritis, Outcomes, Chronic Conditions