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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 DisplayedGoz V, Martin BI, Donnally CJ
Potential selection bias in observational studies comparing cervical disc arthroplasty to anterior cervical discectomy and fusion.
This retrospective cohort study looked at potential selection bias for spinal patients undergoing cervical disc arthroplasty (CDA) or anterior cervical discectomy and fusion (ACDF). A total of ACDF or CDA 290,419 procedures were identified in adults from 2004-2014 using ICD-9-CM diagnosis and procedure codes. The vast majority (98.2%) underwent ACDF. CDA patients were younger and healthier with a higher socioeconomic status than ACDF patients. CDA was also $574 more expensive in the fully specified model. There was no statistically significant difference in terms of complications between the two procedures.
AHRQ-funded; HS024714.
Citation: Goz V, Martin BI, Donnally CJ .
Potential selection bias in observational studies comparing cervical disc arthroplasty to anterior cervical discectomy and fusion.
Spine 2020 Jul 15;45(14):960-67. doi: 10.1097/brs.0000000000003427..
Keywords: Surgery, Orthopedics, Research Methodologies
Weng Y, Tian L, Tedesco D
Trajectory analysis for postoperative pain using electronic health records: a nonparametric method with robust linear regression and K-medians cluster analysis.
Postoperative pain scores are widely monitored and collected in the electronic health record, yet current methods fail to fully leverage the data with fast implementation. This article describes a trajectory analysis for postoperative pain using electronic health records. A robust linear regression was fitted to describe the association between the log-scaled pain score and time from discharge after total knee replacement.
AHRQ-funded; HS024096.
Citation: Weng Y, Tian L, Tedesco D .
Trajectory analysis for postoperative pain using electronic health records: a nonparametric method with robust linear regression and K-medians cluster analysis.
Health Informatics J 2020 Jun;26(2):1404-18. doi: 10.1177/1460458219881339..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Pain, Surgery, Orthopedics, Research Methodologies, Health Services Research (HSR)