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Surgeons’ Preoperative Work Burden Has Increased Before Total Joint Arthroplasty: A Survey of AAHKS Members

Authors :
James I. Huddleston
P. Maxwell Courtney
Joshua M. Kerr
Craig J. Della Valle
Matthew J. Grosso
Source :
The Journal of Arthroplasty. 35:1453-1457
Publication Year :
2020
Publisher :
Elsevier BV, 2020.

Abstract

Background Implementation of rapid recovery protocols and value-based programs in total joint arthroplasty (TJA) has required changes in preoperative management, such as optimization, education, and coordination. This study aimed to quantify the work burden associated with preoperative TJA care. Methods Two web-based surveys were distributed to surgeon members of the American Association of Hip and Knee Surgeons. The first questionnaire (265 respondents) consisted of questions related to preoperative patient care in TJA and the associated work burden by orthopedic surgeons and their financially dependent health care providers. The second survey (561 respondents) consisted of questions related to relative change in preoperative patient care work burden since 2013. Results Greater than 98% of survey respondents reported providing some level of preoperative medical optimization to their patients. The mean amount of reported time spent by the surgeon and/or a qualified health care provider in preoperative activities not included in work captured in current procedural terminology or hospital billing codes was 153 minutes. The mean amount of reported time spent by ancillary clinical staff in preoperative activities was 177 minutes. Most surgeons reported an increase in work burden for total knee (86%) and total hip (87%) arthroplasty since 2013, with a large portion reporting a 20% or greater increase in work (knee 66%, hip 64%). Conclusion To provide quality arthroplasty care with marked reductions in complication rates, lengths of stay, and readmissions, members of the American Association of Hip and Knee Surgeons report a substantial preoperative work burden that is not included in current coding metrics. Policy makers should account for this time in coding models to continue to promote pathway improvements.

Details

ISSN :
08835403
Volume :
35
Database :
OpenAIRE
Journal :
The Journal of Arthroplasty
Accession number :
edsair.doi.dedup.....f1125f419adb4cec012b1a44573782c4
Full Text :
https://doi.org/10.1016/j.arth.2020.01.079