The primary aim of this paper was to outline the processes involved in building the Partners Arthroplasty Registry (PAR), established in April 2016 to capture baseline and outcome data for patients undergoing arthroplasty in a regional healthcare system. A secondary aim was to determine the quality of PAR’s data. A tertiary aim was to report preliminary findings from the registry and contributions to quality improvement initiatives and research up to March 2019. Structured Query Language was used to obtain data relating to patients who underwent total hip or knee arthroplasty (THA and TKA) from the hospital network’s electronic medical record (EMR) system to be included in the PAR. Data were stored in a secure database and visualized in dashboards. Quality assurance of PAR data was performed by review of the medical records. Capture rate was determined by comparing two months of PAR data with operating room schedules. Linear and binary logistic regression models were constructed to determine if length of stay (LOS), discharge to a care home, and readmission rates improved between 2016 and 2019.Aims
Methods
This analysis aims to provide an update of the Level-IV Partners Arthroplasty Registry (PAR), a quality-improvement initiative and research data repository. The Harris Joint Registry was founded in 1969 and has since expanded to become the Partners Arthroplasty Registry (PAR). Today, the PAR captures data on total hip and total knee arthroplasties conducted at seven hospitals in Massachusetts. Over time, data has been sourced through independent collection at a single hospital, retrospective sourcing through the Research Patient Data Registry (RPDR), and currently through the Enterprise Data Warehouse (EDW). Various statistical methods analyzed changing trends of care provided to patients across affiliated institutions. PROMs collected in the PAR are the PROMIS Physical Function and Global Health Short Forms, the HOOS and KOOS. The registry is an associate member of ISAR and will incorporate the international implant library.Introduction
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