Alessandro Brunelli1, Polyvios Drosos2, Padma Dinesh3, Haaris Ismail4, Vinod Bassi4. 1. Department of Thoracic Surgery, St. James's University Hospital, Leeds, United Kingdom. Electronic address: brunellialex@gmail.com. 2. Department of Thoracic Surgery, St. James's University Hospital, Leeds, United Kingdom. 3. Department of Oncology, Leeds Teaching Hospital National Health Service (NHS) Trust, Leeds, United Kingdom. 4. Costing Team, Finance Department, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom.
Abstract
BACKGROUND: The objective of this study was to verify the association between the thoracic mortality and morbidity (TMM) classification system and hospital costs after lung resection. METHODS: Consecutive patients (n = 503) submitted to anatomic lung resections were analyzed (April 1, 2014, to March 31, 2016). TMM system was used to grade the severity of complications. Postoperative costs were retrieved from the financial department using an electronic patient-level information system. RESULTS: Two hundred seventy-two patients (54%) did not experience any complication. The distribution of postoperative complications in the remaining patients according to the TMM classification system was as follows: 57 (25%) grade I, 108 (47%) grade II, 29 (12%) grade III, 17 (7%) grade IV, and 20 (9%) grade V. The average postoperative cost of the uncomplicated patients was $3,560 (95% confidence interval [CI]: $3,440 to $3,680). The average postoperative costs of the patients with complications increased along with the grade of the TMM system; it was $4,548 (95% CI: $4,134 to $4,962) for grade I, $4,909 (95% CI: $4,537 to $5,281) for grade II, $6,392 (95% CI: $5,303 to $7,483) for grade III, and $14,547 (95% CI: $6,334 to $22,760) for grade IV. The average postoperative cost for the patients who eventually died was $17,695 (95% CI: $11,246 to $24,144). Linear regression analysis showed that a prolonged length of hospital stay (p < 0.0001) and an unplanned admission to the intensive care unit (p < 0.0001) were significantly associated with postoperative costs in patients with major complications. CONCLUSIONS: The severity of complications graded by the TMM system was associated with increasing postoperative costs. This instrument may be used to adjust lung resection reimbursement tariffs.
BACKGROUND: The objective of this study was to verify the association between the thoracic mortality and morbidity (TMM) classification system and hospital costs after lung resection. METHODS: Consecutive patients (n = 503) submitted to anatomic lung resections were analyzed (April 1, 2014, to March 31, 2016). TMM system was used to grade the severity of complications. Postoperative costs were retrieved from the financial department using an electronic patient-level information system. RESULTS: Two hundred seventy-two patients (54%) did not experience any complication. The distribution of postoperative complications in the remaining patients according to the TMM classification system was as follows: 57 (25%) grade I, 108 (47%) grade II, 29 (12%) grade III, 17 (7%) grade IV, and 20 (9%) grade V. The average postoperative cost of the uncomplicated patients was $3,560 (95% confidence interval [CI]: $3,440 to $3,680). The average postoperative costs of the patients with complications increased along with the grade of the TMM system; it was $4,548 (95% CI: $4,134 to $4,962) for grade I, $4,909 (95% CI: $4,537 to $5,281) for grade II, $6,392 (95% CI: $5,303 to $7,483) for grade III, and $14,547 (95% CI: $6,334 to $22,760) for grade IV. The average postoperative cost for the patients who eventually died was $17,695 (95% CI: $11,246 to $24,144). Linear regression analysis showed that a prolonged length of hospital stay (p < 0.0001) and an unplanned admission to the intensive care unit (p < 0.0001) were significantly associated with postoperative costs in patients with major complications. CONCLUSIONS: The severity of complications graded by the TMM system was associated with increasing postoperative costs. This instrument may be used to adjust lung resection reimbursement tariffs.
Authors: Diego Gonzalez-Rivas; Yung Chia Kuo; Ching Yang Wu; Maria Delgado; de la Torre Mercedes; Ricardo Fernandez; Eva Fieira; Ming Ju Hsieh; Marina Paradela; Yin Kai Chao; Ching Feng Wu Journal: Medicine (Baltimore) Date: 2018-10 Impact factor: 1.817