Estimating surgical case durations and making comparisons among facilities: Identifying facilities with lower anesthesia professional fees

Anesthesia and Analgesia

Volumn 116, Issue 5, 2013, Pages 1103-1115

  Dexter, Franklin ^a   Epstein, Richard H ^b   Bayman, Emine O ^a   Ledolter, Johannes ^c  

^a UNIVERSITY OF IOWA   (United States)

^b THOMAS JEFFERSON UNIVERSITY   (United States)

^c UNIVERSITY OF IOWA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ANESTHESIA; BAYES THEOREM; COMPARATIVE STUDY; CONFIDENCE INTERVAL; CONSTANTS AND COEFFICIENTS; CURRENT PROCEDURAL TERMINOLOGY; GOVERNMENT; HUMAN; MEDICAL FEE; MORBIDITY; NONPARAMETRIC TEST; OPERATION DURATION; PREDICTIVE VALUE; PRIORITY JOURNAL; PRIVATE HEALTH INSURANCE; PROBABILITY; PUBLIC HEALTH INSURANCE; REVIEW; SAMPLE SIZE; STATISTICAL MODEL; STUDENT T TEST; SURGICAL MORTALITY; SYSTEMATIC REVIEW;

ANESTHESIA; BAYES THEOREM; CONFIDENCE INTERVALS; DATA INTERPRETATION, STATISTICAL; FEES, MEDICAL; FORECASTING; GENERAL SURGERY; HEALTH FACILITIES; HOSPITAL MORTALITY; HUMANS; INSURANCE, HEALTH; MODELS, ECONOMIC; POSTOPERATIVE COMPLICATIONS;

EID: 84876782232     PISSN: 00032999     EISSN: 15267598     Source Type: Journal    
DOI: 10.1213/ANE.0b013e31828b3813     Document Type: Review

References (86)

1. Dexter F, Epstein RH, Lee JD, Ledolter J. Automatic updating of times remaining in surgical cases using bayesian analysis of historical case duration data and "instant messaging" updates from anesthesia providers. Anesth Analg 2009;108:929-40
2. Ledolter J, Dexter F, Epstein RH. Analysis of variance of communication latencies in anesthesia: Comparing means of multiple log-normal distributions. Anesth Analg 2011;113:888-96
3. Dexter F, Wachtel RE, Sohn MW, Ledolter J, Dexter EU, Macario A. Quantifying effect of a hospital's caseload for a surgical specialty on that of another hospital using multi-Attribute market segments. Health Care Manag Sci 2005;8:121-31
4. Dexter F, Birchansky L, Bernstein JM, Wachtel RE. Case scheduling preferences of one Surgeon's cataract surgery patients. Anesth Analg 2009;108:579-82
5. Dexter F, Epstein RH, Traub RD, Xiao Y. Making management decisions on the day of surgery based on operating room efficiency and patient waiting times. Anesthesiology 2004;101:1444-53
6. Dexter F, Wachtel RE, Epstein RH. Event-based knowledge elicitation of operating room management decision-making using scenarios adapted from information systems data. BMC Med Inform Decis Mak 2011;11:2
7. Dexter F, Macario A, Epstein RH, Ledolter J. Validity and usefulness of a method to monitor surgical services' average bias in scheduled case durations. Can J Anaesth 2005;52:935-9
8. McIntosh C, Dexter F, Epstein RH. The impact of service-specific staffing, case scheduling, turnovers, and first-case starts on anesthesia group and operating room productivity: A tutorial using data from an Australian hospital. Anesth Analg 2006;103:1499-516
9. Dexter F, Macario A, Ledolter J. Identification of systematic underestimation (bias) of case durations during case scheduling would not markedly reduce overutilized operating room time. J Clin Anesth 2007;19:198-203
10. Dexter F, Weih LS, Gustafson RK, Stegura LF, Oldenkamp MJ, Wachtel RE. Observational study of operating room times for knee and hip replacement surgery at nine U.S. community hospitals. Health Care Manag Sci 2006;9:325-39
11. Berry M, Berry-Stölzle T, Schleppers A. Operating room management and operating room productivity: The case of Germany. Health Care Manag Sci 2008;11:228-39
12. Sulecki L, Dexter F, Zura A, Saager L, Epstein RH. Lack of value of scheduling processes to move cases from a heavily used main campus to other facilities within a health care system. Anesth Analg 2012;115:395-401
13. Cassera MA, Zheng B, Martinec DV, Dunst CM, Swanström LL. Surgical time independently affected by surgical team size. Am J Surg 2009;198:216-22
14. Dexter F, Dexter EU, Masursky D, Nussmeier NA. Systematic review of general thoracic surgery articles to identify predictors of operating room case durations. Anesth Analg 2008;106: 1232-41
15. Stepaniak PS, Heij C, de Vries G. Modeling and prediction of surgical procedure times. Statistica Neerlandica 2010;64:1-18
16. Eijkemans MJ, van Houdenhoven M, Nguyen T, Boersma E, Steyerberg EW, Kazemier G. Predicting the unpredictable: A new prediction model for operating room times using individual characteristics and the surgeon's estimate. Anesthesiology 2010;112:41-9
17. Stepaniak PS, Vrijland WW, de Quelerij M, de Vries G, Heij C. Working with a fixed operating room team on consecutive similar cases and the effect on case duration and turnover time. Arch Surg 2010;145:1165-70
18. Gillespie BM, Chaboyer W, Fairweather N. Factors that influence the expected length of operation: Results of a prospective study. BMJ Qual Saf 2012;21:3-12
19. Dexter F, Traub RD. Sequencing cases in the operating room: Predicting whether one surgical case will last longer than another. Anesth Analg 2000;90:975-9
20. Weiss EN. Models for determining estimated start times and case orderings in hospital operating rooms. IIE Transactions 1990;22:143-50
21. Wachtel RE, Dexter F. A simple method for deciding when patients should be ready on the day of surgery without procedure-specific data. Anesth Analg 2007;105:127-40
22. Wachtel RE, Dexter F. Influence of the operating room schedule on tardiness from scheduled start times. Anesth Analg 2009;108:1889-901
23. Smallman B, Dexter F. Optimizing the arrival, waiting, and NPO times of children on the day of pediatric endoscopy procedures. Anesth Analg 2010;110:879-87
24. Dexter F, Macario A, O'Neill L. A strategy for deciding operating room assignments for second-shift anesthetists. Anesth Analg 1999;89:920-4
25. Dexter EU, Dexter F, Masursky D, Kasprowicz KA. Prospective trial of thoracic and spine surgeons' updating of their estimated case durations at the start of cases. Anesth Analg 2010;110:1164-8
26. Dalton JE, Kurz A, Turan A, Mascha EJ, Sessler DI, Saager L. Development and validation of a risk quantification index for 30-day postoperative mortality and morbidity in noncardiac surgical patients. Anesthesiology 2011;114:1336-44
27. Dexter F, Dexter EU, Ledolter J. Influence of procedure classification on process variability and parameter uncertainty of surgical case durations. Anesth Analg 2010;110:1155-63
28. Barber JA, Thompson SG. Analysis of cost data in randomized trials: An application of the non-parametric bootstrap. Stat Med 2000;19:3219-36
29. Strum DP, May JH, Vargas LG. Modeling the uncertainty of surgical procedure times: Comparison of log-normal and normal models. Anesthesiology 2000;92:1160-7
30. Todd MM, Hindman BJ, Clarke WR, Torner JC; Intraoperative Hypothermia for Aneurysm Surgery Trial (IHAST) Investigators. Mild intraoperative hypothermia during surgery for intracranial aneurysm. N Engl J Med 2005;352:135-45
31. Dexter F, Ledolter J. Bayesian prediction bounds and comparisons of operating room times even for procedures with few or no historic data. Anesthesiology 2005;103:1259-167
32. Spangler WE, Strum DP, Vargas LG, May JH. Estimating procedure times for surgeries by determining location parameters for the lognormal model. Health Care Manag Sci 2004;7:97-104
33. Stepaniak PS, Heij C, Mannaerts GH, de Quelerij M, de Vries G. Modeling procedure and surgical times for current procedural terminology-Anesthesia- surgeon combinations and evaluation in terms of case-duration prediction and operating room efficiency: A multicenter study. Anesth Analg 2009;109:1232-45
34. He B, Dexter F, Macario A, Zenios S. The timing of staffing decisions in hospital operating room: Incorporating workload heterogeneity into the newsvendor problem. Manuf Serv Op 2012;14:99-114
35. Dexter F, Traub RD. Statistical method for predicting when patients should be ready on the day of surgery. Anesthesiology 2000;93:1107-14
36. Bayman EO, Chaloner K, Cowles MK. Detecting qualitative interaction: A Bayesian approach. Stat Med 2010;29:455-63
37. Mahaney KB, Todd MM, Bayman EO, Torner JC; IHAST Investigators. Acute postoperative neurological deterioration associated with surgery for ruptured intracranial aneurysm: Incidence, predictors, and outcomes. J Neurosurg 2012;116: 1267-78
38. Finney DJ. On the distribution of a variate whose logarithm is normally distributed. J R Stat Soc Series B Stat Methodol 1941;7:155-61
39. Zhou XH. Estimation of the log-normal mean. Stat Med 1998;17:2251-64
40. Zellner A. Bayesian and non-Bayesian analysis of the log-normal distribution and log-normal regression. J Am Stat Assoc 1971;66:327-30
41. Wachtel RE, Dexter F. Reducing tardiness from scheduled start times by making adjustments to the operating room schedule. Anesth Analg 2009;108:1902-9
42. Kaushik R. Bleeding complications in laparoscopic cholecystectomy: Incidence, mechanisms, prevention and management. J Minim Access Surg 2010;6:59-65
43. Zhou J, Dexter F. Method to assist in the scheduling of add-on surgical cases-upper prediction bounds for surgical case durations based on the log-normal distribution. Anesthesiology 1998;89:1228-32
44. Clopper CJ, Pearson ES. The use of confidence or fiducial limits illustrated in the case of the binomial. Biometrika 1934;26:404-13
45. Hahn GJ, Meeker WQ. Statistical intervals. A guide for practitioners. New York: Wiley, 1991:82-4, 100-5
46. Hall P, Rieck A. Improving coverage accuracy of nonparametric prediction intervals. J R Stat Soc Ser B 2001;63:717-25
47. Dexter F. Application of prediction levels to OR scheduling. AORN J 1996;63:607-15
48. Li Y, Zhang S, Baugh RF, Huang JZ. Predicting surgical case durations using ill-conditioned CPT code matrix. IIE Transactions 2010;42:121-35
49. Zhou J, Dexter F, Macario A, Lubarsky DA. Relying solely on historical surgical times to estimate accurately future surgical times is unlikely to reduce the average length of time cases finish late. J Clin Anesth 1999;11:601-5
50. Dexter F, Traub RD, Fleisher LA, Rock P. What sample sizes are required for pooling surgical case durations among facilities to decrease the incidence of procedures with little historical data? Anesthesiology 2002;96:1230-6
51. Dexter F, Macario A. What is the relative frequency of uncommon ambulatory surgery procedures performed in the United States with an anesthesia provider? Anesth Analg 2000;90: 1343-7
52. Silber JH, Rosenbaum PR, Zhang X, Even-Shoshan O. Estimating anesthesia and surgical procedure times from medicare anesthesia claims. Anesthesiology 2007;106:346-55
53. Jones HE, Spiegelhalter DJ. The identification of "unusual" health-care providers from a hierarchical model. Am Stat 2011;65:154-63
54. Silber JH, Rosenbaum PR, Zhang X, Even-Shoshan O. Influence of patient and hospital characteristics on anesthesia time in medicare patients undergoing general and orthopedic surgery. Anesthesiology 2007;106:356-64
55. Dexter F, Davis M, Egger Halbeis CB, Halbeis CE, Marjamaa R, Marty J, McIntosh C, Nakata Y, Thenuwara KN, Sawa T, Vigoda M. Mean operating room times differ by 50% among hospitals in different countries for laparoscopic cholecystectomy and lung lobectomy. J Anesth 2006;20:319-22
56. Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-Analysis. Stat Med 2002;21:1539-58
57. Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gøtzsche PC, Ioannidis JP, Clarke M, Devereaux PJ, Kleijnen J, Moher D. The PRISMA statement for reporting systematic reviews and meta-Analyses of studies that evaluate health care interventions: Explanation and elaboration. J Clin Epidemiol 2009; 62:e1-34
58. Dexter F, Bayman EO, Epstein RH. Statistical modeling of average and variability of time to extubation for meta-Analysis comparing desflurane to sevoflurane. Anesth Analg 2010;110:570-80
59. Wachtel RE, Dexter F, Epstein RH, Ledolter J. Meta-Analysis of desflurane and propofol average times and variability in times to extubation and following commands. Can J Anaesth 2011;58:714-24
60. Ledolter J, Dexter F. Analysis of interventions influencing or reducing patient waiting while stratifying by surgical procedure. Anesth Analg 2011;112:950-7
61. DerSimonian R, Laird N. Meta-Analysis in clinical trials. Control Clin Trials 1986;7:177-88
62. Jackson D, Bowden J, Baker R. How does the DerSimonian and Laird procedure for random effects meta-Analysis compare with its more efficient but harder to compute counterparts? J Stat Plan and Inference. 2010;140:961-70
63. Spiegelhalter DJ. Handling over-dispersion of performance indicators. Qual Saf Health Care 2005;14:347-51
64. Strum DP, Sampson AR, May JH, Vargas LG. Surgeon and type of anesthesia predict variability in surgical procedure times. Anesthesiology 2000;92:1454-66
65. Wright IH, Kooperberg C, Bonar BA, Bashein G. Statistical modeling to predict elective surgery time. Comparison with a computer scheduling system and surgeon-provided estimates. Anesthesiology 1996;85:1235-45
66. Chen L. 1995 for testing the mean of a skewed distribution was published in JASA 1995;90:767-72
67. Banik S, Kibria BMG. Comparison of some parametric and nonparametric type one sample confidence intervals for estimating the mean of a positively skewed distribution. Commun Stat Simulat 2010;39:361-89
68. Krishnamoorthy K, Mathew T. Inferences on the means of lognormal distributions using generalized p-values and generalized confidence intervals. J Stat Plan Inference 2003;115:103-121
69. Kuntz L, Vera A. Transfer pricing in hospitals and efficiency of physicians: The case of anesthesia services. Health Care Manage Rev 2005;30:262-9
70. Schuster M, Standl T, Reissmann H, Kuntz L, Am Esch JS. Reduction of anesthesia process times after the introduction of an internal transfer pricing system for anesthesia services. Anesth Analg 2005;101:187-94
71. Jones HE, Ohlssen DI, Spiegelhalter DJ. Use of the false discovery rate when comparing multiple health care providers. J Clin Epidemiol 2008;61:232-40
72. Benjamini Y, Hochberg Y. Controlling the false discovery rate: A practical and powerful approach to multiple testing. J R Stat Soc B 1995;57:289-300
73. Dexter F, Dexter EU, Ledolter J. Importance of appropriately modeling procedure and duration in logistic regression studies of perioperative morbidity and mortality. Anesth Analg 2011;113: 1197-201
74. Allen BT, Anderson CB, Rubin BG, Thompson RW, Flye MW, Young-Beyer P, Frisella P, Sicard GA. The influence of anesthetic technique on perioperative complications after carotid endarterectomy. J Vasc Surg 1994;19:834-42
75. Serletti JM, Higgins JP, Moran S, Orlando GS. Factors affecting outcome in free-Tissue transfer in the elderly. Plast Reconstr Surg 2000;106:66-70
76. Farwell DG, Reilly DF, Weymuller EA Jr, Greenberg DL, Staiger TO, Futran NA. Predictors of perioperative complications in head and neck patients. Arch Otolaryngol Head Neck Surg 2002;128:505-11
77. Penel N, Mallet Y, Roussel-Delvallez M, Lefebvre JL, Yazdanpanah Y. Factors determining length of the postoperative hospital stay after major head and neck cancer surgery. Oral Oncol 2008;44:555-62
78. Greenblatt DY, Rajamanickam V, Mell MW. Predictors of surgical site infection after open lower extremity revascularization. J Vasc Surg 2011;54:433-9
79. Postoperative Visual Loss Study Group. Risk factors associated with ischemic optic neuropathy after spinal fusion surgery. Anesthesiology 2012;116:15-24
80. Glaser D, Hastings RH. An introduction to multilevel modeling for anesthesiologists. Anesth Analg 2011;113:877-87
81. Muralidhar K, Zanakis SH. A simple minimum-bias percentile estimator of the location parameter for the gamma, weibull, and log-normal distributions. Decision Sciences 1992;23: 862-79
82. Shapiro SS, Wilk MB, Chen HJ. A comparative study of various tests for normality. J Am Stat Assoc 1968;63:1343-72
83. Shapiro SS, Wilk MB. An analysis of variance test for normality. Biometrika 1965;52:591-611
84. Lilliefors HW. On the Kolmogorov-Smirnov test for normality with mean and variance unknown. J Am Stat Assoc 1967;62:399-402
85. Sprent P. Applied Nonparametric Statistical Methods. New York: Chapman and Hall, 1989:49-58
86. Johnson NL, Kotz S, Balakrishnan N. Continuous Univariate Distributions. Vol 1. 2nd ed. New York: John Wiley, 1994:223