The volume–outcome relationship in laparoscopic cholecystectomy: a population-based study using propensity score matching

BackgroundThe volume–outcome relationship has been validated previously for surgical procedures and cancer treatments. However, no studies have longitudinally compared the relationships between volume and outcome, and none have systematically compared laparoscopic cholecystectomy (LC) surgery outcomes in Taiwan. This study purposed to explore the relationship between volume and hospital treatment cost after LC.MethodsThis cohort study retrospectively analyzed 247,751 LCs performed from 1998 to 2009. Hospitals were classified as low-, medium-, and high-volume hospitals if their annual number of LCs were 1–29, 30–84, ≥85, respectively. Surgeons were classified as low-, medium-, and high-volume surgeons if their annual number of LCs were 1–10, 11–24, ≥25, respectively. Hierarchical linear regression model and propensity score were used to assess the relationship between volume and hospital treatment cost.ResultsThe mean hospital treatment cost was US $2,504.53, and the average hospital costs for high-volume hospitals/surgeons were 33/47 % lower than those for low-volume hospitals and surgeons. When analyzed by propensity score, the hospital treatment cost differed significantly between high-volume hospitals/surgeons and low/medium-volume hospitals/surgeons (2,073.70 vs. 2,350.91/2,056.73 vs. 2,553.76, P < 0.001).ConclusionsAnalysis using a hierarchical linear regression model and propensity score found an association between high-volume hospitals and surgeons and hospital treatment cost in LC patients. Moreover, the significant factors associated with hospital resource utilization for this procedure include age, gender, comorbidity, hospital type, hospital volume, and surgeon volume. Additionally, analysis of the treatment strategies adopted at high-volume hospitals or by high-volume surgeons may improve overall hospital treatment cost.

[1]  Ó. Zurriaga,et al.  Bayesian Factor Analysis to Calculate a Deprivation Index and Its Uncertainty , 2011, Epidemiology.

[2]  C. Begg,et al.  The Effect of Clustering of Outcomes on the Association of Procedure Volume and Surgical Outcomes , 2003, Annals of Internal Medicine.

[3]  Shou-Hsia Cheng,et al.  Physician performance information and consumer choice: a survey of subjects with the freedom to choose between doctors , 2004, Quality and Safety in Health Care.

[4]  G. Fried,et al.  Defining the learning curve in laparoscopic paraesophageal hernia repair: a CUSUM analysis , 2011, Surgical Endoscopy.

[5]  F. Remzi,et al.  Does the learning curve during laparoscopic colectomy adversely affect costs? , 2010, Surgical Endoscopy.

[6]  J. Tseng,et al.  Hospital volume as a surrogate for laparoscopically assisted colectomy , 2009, Surgical Endoscopy.

[7]  E. McMurtry,et al.  The economic burden of complications during percutaneous coronary intervention , 2007, Quality and Safety in Health Care.

[8]  Donald Rubin,et al.  Estimating Causal Effects from Large Data Sets Using Propensity Scores , 1997, Annals of Internal Medicine.

[9]  K. Behrns The German Registry for Natural Orifice Translumenal Endoscopic Surgery: Report of the First 551 Patients , 2011 .

[10]  J. Tseng,et al.  Surgeon Volume Metrics in Laparoscopic Cholecystectomy , 2010, Digestive Diseases and Sciences.

[11]  J. Martellucci,et al.  Complications in laparoscopic adrenalectomy: the value of experience , 2011, Surgical Endoscopy.

[12]  W. Arns,et al.  Laparoscopic live donor nephrectomy: Are ten cases per year enough to reach the quality standards? A report from a single small-volume transplant center , 2010, Surgical Endoscopy.

[13]  Shu-Ping Lin,et al.  Study on doctor shopping behavior: insight from patients with upper respiratory tract infection in Taiwan. , 2010, Health policy.

[14]  L. Bardram,et al.  The quality of cholecystectomy in Denmark: outcome and risk factors for 20,307 patients from the national database , 2011, Surgical Endoscopy.

[15]  D. Oleynikov,et al.  Safety, efficacy, and cost-effectiveness of common laparoscopic procedures , 2011, Surgical Endoscopy.

[16]  E. Livingston,et al.  Procedure volume as a predictor of surgical outcomes. , 2010, JAMA.

[17]  Bradley P Carlin,et al.  Hierarchical Commensurate and Power Prior Models for Adaptive Incorporation of Historical Information in Clinical Trials , 2011, Biometrics.

[18]  P. Rosenbaum,et al.  Invited commentary: propensity scores. , 1999, American journal of epidemiology.

[19]  K. Chien,et al.  Impact of an audit program and other factors on door-to-balloon times in acute ST-elevation myocardial infarction patients destined for primary coronary intervention. , 2009, Academic Emergency Medicine.

[20]  M. Mercado,et al.  Transition from a low: to a high-volume centre for bile duct repair: changes in technique and improved outcome. , 2011, HPB : the official journal of the International Hepato Pancreato Biliary Association.

[21]  C. Chiu,et al.  Long-term outcomes of laparoscopic cholecystectomy: a prospective piecewise linear regression analysis , 2011, Surgical Endoscopy.

[22]  C. Tilquin,et al.  Risk Adjustment in Outcome Assessment: the Charlson Comorbidity Index , 1993, Methods of Information in Medicine.