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Peer-reviewedCC BY 4.0Urology Practice

Component-Level Cost and Variability Drivers of Intradetrusor OnabotulinumtoxinA Injections Across Office and Operating Room Settings

  1. 1Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
  2. 2Department of Strategic Decision Support, University of Pennsylvania, Philadelphia, Pennsylvania
  3. 3Division of Urology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania

Abstract

Introduction:: The purpose of this study was to identify component-level drivers of cost variability for intradetrusor onabotulinumtoxinA (BTX-A) injections for overactive bladder across office-based clinic, tertiary operating room (OR), and hospital outpatient department (HOPD) settings.

Methods:: We performed a retrospective cost analysis of BTX-A injection encounters from January 2020 to June 2025 using institutional activity-based cost accounting data. Costs were grouped into procedural components and categorized as direct or indirect. Mean costs were compared using Welch t tests with Bonferroni correction. Utilization-adjusted variance decomposition identified component-level drivers of cost variability.

Results:: The cohort included 322 tertiary OR, 125 HOPD, and 1492 clinic encounters. Mean total costs were $4633.87 in the tertiary OR, $5063.32 in the HOPD, and $1899.01 in clinic. Total cost variability differed by setting. In the tertiary OR, variability was driven by supplies (29.5%), OR time (25.7%), and postanesthesia recovery (25.5%), while direct cost variability was dominated by supplies (45.1%) and indirect variability by OR time (56.0%). In the HOPD, total cost variability was driven by OR time (41.2%), anesthesia (29.2%), and recovery (16.1%), with similar drivers of indirect variability. In the clinic, total and direct cost variability were driven primarily by cystoscopy (63.9% and 68.7%) and BTX-A (36.1% and 31.3%), while indirect variability was driven by BTX-A (65.4%).

Conclusions:: Cost variability differs substantially across procedural settings. Cost-containment efforts should target setting-specific variance drivers rather than mean costs or site of service alone.

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BibTeX
@article{patel2026componentlevel,
  title = {{Component-Level Cost and Variability Drivers of Intradetrusor OnabotulinumtoxinA Injections Across Office and Operating Room Settings}},
  author = {Saawan D. Patel and Evan Rosario and Robert Stetson and Ariana L. Smith},
  journal = {Urology Practice},
  year = {2026},
  month = sep,
  doi = {10.1097/upj.0000000000001067},
  url = {https://doi.org/10.1097/upj.0000000000001067},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Component-Level Cost and Variability Drivers of Intradetrusor OnabotulinumtoxinA Injections Across Office and Operating Room Settings
AU  - Saawan D. Patel
AU  - Evan Rosario
AU  - Robert Stetson
AU  - Ariana L. Smith
PY  - 2026
DA  - 2026/09/03
JO  - Urology Practice
DO  - 10.1097/upj.0000000000001067
UR  - https://doi.org/10.1097/upj.0000000000001067
AB  - Introduction:: The purpose of this study was to identify component-level drivers of cost variability for intradetrusor onabotulinumtoxinA (BTX-A) injections for overactive bladder across office-based clinic, tertiary operating room (OR), and hospital outpatient department (HOPD) settings.  Methods:: We performed a retrospective cost analysis of BTX-A injection encounters from January 2020 to June 2025 using institutional activity-based cost accounting data. Costs were grouped into procedural components and categorized as direct or indirect. Mean costs were compared using Welch t tests with Bonferroni correction. Utilization-adjusted variance decomposition identified component-level drivers of cost variability.  Results:: The cohort included 322 tertiary OR, 125 HOPD, and 1492 clinic encounters. Mean total costs were $4633.87 in the tertiary OR, $5063.32 in the HOPD, and $1899.01 in clinic. Total cost variability differed by setting. In the tertiary OR, variability was driven by supplies (29.5%), OR time (25.7%), and postanesthesia recovery (25.5%), while direct cost variability was dominated by supplies (45.1%) and indirect variability by OR time (56.0%). In the HOPD, total cost variability was driven by OR time (41.2%), anesthesia (29.2%), and recovery (16.1%), with similar drivers of indirect variability. In the clinic, total and direct cost variability were driven primarily by cystoscopy (63.9% and 68.7%) and BTX-A (36.1% and 31.3%), while indirect variability was driven by BTX-A (65.4%).  Conclusions:: Cost variability differs substantially across procedural settings. Cost-containment efforts should target setting-specific variance drivers rather than mean costs or site of service alone.
SN  - 2352-0779
SN  - 2352-0787
ER  -