Enhanced REVENUE After Surgery? A Cost-Standardized Enhanced Recovery Pathway for Mastectomy Decreases Length of Stay
Background Enhanced recovery after surgery (ERAS) protocols have been shown to improve surgical, anesthetic, and economic outcomes in intermediate-to-high-risk surgeries. Its influence on length of stay and cost of low-risk surgeries has yet to be robustly studied. As value-based patient care comes...
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Veröffentlicht in: | World journal of surgery 2019-03, Vol.43 (3), p.839-845 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Background
Enhanced recovery after surgery (ERAS) protocols have been shown to improve surgical, anesthetic, and economic outcomes in intermediate-to-high-risk surgeries. Its influence on length of stay and cost of low-risk surgeries has yet to be robustly studied. As value-based patient care comes to the forefront of anesthesiology research, the focus shifts to strategies that maintain quality while effectively containing cost.
Methods
In July 2016, we implemented an ERAS for mastectomy protocol consisting of limiting fasting state, preoperative multimodal analgesia, and pectoralis I and II blocks. After 1 year, patient records were retrospectively reviewed for length of stay, opioid consumption, pain scores, and hospital charges.
Results
Implementation of an ERAS protocol for mastectomies led to a decrease in opioid consumption, and statistically significant decrease in length of stay (1.19 vs. 1.44,
p
= 0.01). No significant change in hospital charges was observed ($25,787 vs. $25,863,
p
= 0.97); however, the variance of charges was significantly decreased (6.8 × 10
7
vs. 1.5 × 10
8
,
p
= 0.002). The decrease in length of stay translated to an extra 100 hospital bed days which can provide up to an additional $2,100,000 in gross patient service revenue from additional mastectomy volume.
Conclusion
ERAS protocols for mastectomies may prove beneficial by allowing growing hospitals to increase bed capacity and consequently surgical volume. Despite no change in hospital charges, we predict a potential increase in gross patient service revenue of $2.1 million due to saved hospital bed days. |
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ISSN: | 0364-2313 1432-2323 |
DOI: | 10.1007/s00268-018-4850-0 |