Preoperative Follow-up in Bariatric Surgery: Why They Give Up? Rate, Causes, and Economic Impact of Dropout

被引:6
|
作者
Paolino, Luca [1 ]
Le Fouler, Adrien [1 ]
Epaud, Salome [2 ]
Bathaei, Sarah [3 ]
Mokhtari, Nawel [1 ]
Lazzati, Andrea [1 ,4 ]
机构
[1] Ctr Hosp Intercommunal Creteil, Dept Gen Surg, 40 Ave Verdun, F-94000 Creteil, France
[2] Kaduceo SAS, 96 Ave Jules Julien, F-31400 Toulouse, France
[3] Ctr Hosp Intercommunal Creteil, Nutr Unit, 40 Ave Verdun, F-94000 Creteil, France
[4] Univ Paris Est Creteil, INSERM IMRB U955, Creteil, France
关键词
Bariatric surgery; Attrition; Dropped out; economic impact; PREDICTORS; PATIENT;
D O I
10.1007/s11695-023-06742-9
中图分类号
R61 [外科手术学];
学科分类号
摘要
Background Preoperative attrition is highly prevalent in patients referred for bariatric surgery. Little information is available neither on reasons reported by patients for attrition in knowledge nor costs of attrition in a publicly funded health system.Objectives To assess the reasons for the attrition of bariatric candidates and calculate its economic impact on a population with obesity in a public hospital in France.Methods This is a retrospective study including all bariatric surgery candidates between 2014 and 2018 in our Center of Excellence in Obesity Care. Data were extracted from the hospital information system, and patient-related outcomes were collected via a standardized questionnaire. Economic analysis was performed. Primary outcome was to analyze the rate of preoperative attrition. Secondary outcome was reasons for discontinuation and their economic impact.Results In total, 1360 patients were referred for bariatric surgery at our hospital, and 1225 were included in the study. Attrition rate in preoperative phase was 46.8%. Three factors were significantly associated with follow-up fragmentation risk: unemployment (OR 0.52, 95% CI 0.29-0.7, p < 0.001), active smoking (OR 2.24, 95% CI 1.53-5.15, p < 0.001), and body mass index (OR 0.98, 95% CI 0.97-1.00, p = 0.036). Average cost to the healthcare system was euro792 for each patient who dropped out.Conclusions We identified predictors and patient-reported factors that seem to be beyond the possibility of removal by health professionals. We should consider and address preventable factors, through the development of care pathways tailored to the individual profile of a patient.
引用
收藏
页码:2652 / 2657
页数:6
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