A comparison of clinical registry versus administrative claims data for reporting of 30-day surgical complications

Annals of Surgery

Volumn 256, Issue 6, 2012, Pages 973-981

  Lawson, Elise H ^a   Louie, Rachel ^a   Zingmond, David S ^a   Brook, Robert H ^a,b,c   Hall, Bruce L ^d,e   Han, Lein ^f   Rapp, Michael ^f,g   Ko, Clifford Y ^a,d,h  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b RAND CORPORATION   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d AMERICAN COLLEGE OF SURGEONS   (United States)

^e BARNES JEWISH HOSPITAL   (United States)

^f CENTERS FOR MEDICARE AND MEDICAID SERVICES   (United States)

^g GEORGE WASHINGTON UNIVERSITY SCHOOL OF MEDICINE AND HEALTH SCIENCES   (United States)

^h VA GREATER LOS ANGELES HEALTHCARE SYSTEM   (United States)

Author keywords

Administrative claims; clinical registry; complications; postoperative; quality measurement; surgery

Indexed keywords

ANTIHYPERTENSIVE AGENT; ANTINEOPLASTIC AGENT; STEROID;

AGED; ANTIHYPERTENSIVE THERAPY; ARTICLE; CANCER CHEMOTHERAPY; DEEP VEIN THROMBOSIS; FEMALE; GENERAL SURGERY; GYNECOLOGIC SURGERY; HEAD AND NECK SURGERY; HEART INFARCTION; HOSPITAL PATIENT; HUMAN; HYPERTENSION; LUNG EMBOLISM; MAJOR CLINICAL STUDY; MALE; MEDICARE; NEUROSURGERY; ORTHOPEDIC SURGERY; OUTPATIENT; PNEUMONIA; POSTOPERATIVE COMPLICATION; PRIORITY JOURNAL; SEPSIS; SURGICAL INFECTION; URINARY TRACT INFECTION; UROLOGIC SURGERY; VASCULAR SURGERY;

AGED; AGED, 80 AND OVER; AMBULATORY SURGICAL PROCEDURES; FEMALE; HUMANS; MALE; MEDICARE; POSTOPERATIVE COMPLICATIONS; REGISTRIES; UNITED STATES;

EID: 84870062056     PISSN: 00034932     EISSN: 15281140     Source Type: Journal    
DOI: 10.1097/SLA.0b013e31826b4c4f     Document Type: Article

References (19)

1. Mallon B. Ernest Amory Codman: The End Result of a Life in Medicine. Philadelphia, PA: WB Saunders; 2000.
2. Iezzoni LI. Assessing quality using administrative data. Ann Intern Med. 1997;127:666-674.
3. Romano PS, Chan BK, Schembri ME, et al. Can administrative data be used to compare postoperative complication rates across hospitals? Med Care. 2002;40:856-867.
4. Cima RR, Lackore KA, Nehring SA, et al. How best to measure surgical quality? Comparison of the Agency for Healthcare Research and Quality Patient Safety Indicators (AHRQ-PSI) and the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) postoperative adverse events at a single institution. Surgery. 2011;150:943-949.
5. Steinberg SM, Popa MR, Michalek JA, et al. Comparison of risk adjustment methodologies in surgical quality improvement. Surgery. 2008;144:662-667.
6. Best WR, Khuri SF, Phelan M, et al. Identifying patient preoperative risk factors and postoperative adverse events in administrative databases: results from the Department of Veterans Affairs National Surgical Quality Improvement Program. J Am Coll Surg. 2002;194:257-266.
7. Romano PS, Mull HJ, Rivard PE, et al. Validity of selected AHRQ patient safety indicators based on VA National Surgical Quality Improvement Program data. Health Serv Res. 2009;44:182-204.
8. Bilimoria KY, Cohen ME, Ingraham AM, et al. Effect of postdischarge morbidity and mortality on comparisons of hospital surgical quality. Ann Surg. 2010;252:183-190.
9. Shiloach M, Frencher SK, Jr, Steeger JE, et al. Toward robust information: data quality and inter-rater reliability in the American College of Surgeons National Surgical Quality Improvement Program. J Am Coll Surg. 2010;210:6-16.
10. Khuri SF. The NSQIP: a new frontier in surgery. Surgery. 2005;138:837-843.
11. Ingraham AM, Richards KE, Hall BL, et al. Quality improvement in surgery: the American College of Surgeons National Surgical Quality Improvement Program approach. Adv Surg. 2010;44:251-267.
12. Research Data Assistance Center (ResDAC). Available at: http://www.resdac. org/Medicare/Data File Descriptions RIF.asp. Accessed November 18, 2011.
13. Lawson EH, Ko CY, Louie R, et al. Linkage of a clinical surgical registry with Medicare inpatient claims data using indirect identifiers. Surgery. In Press.
14. Elixhauser Comorbidity Software. Available at: http://www.hcup-us.ahrq. gov/toolssoftware/comorbidity/comorbidity.jsp. Accessed November 18, 2011.
15. Agency for Healthcare Research and Quality (AHRQ) Quality Indicators. Available at: http://www.qualityindicators.ahrq.gov/Modules/iqi overview.aspx. Accessed November 18, 2011.
16. Hospital-Acquired Conditions (HAC) in Acute Inpatient Prospective Payment System (IPPS) Hospitals. 2010. Available at: https://www.cms.gov/ hospitalacqcond/downloads/hacfactsheet.pdf. Accessed November 18, 2011.
17. Surgical Care Improvement Project Core Measure Set. Available at: http://www.jointcommission.org/assets/1/6/Surgical%20Care%20Improvement %20Project.pdf. Accessed November 18, 2011.
18. Fleiss J, Levin B, Paik M. Statistical Methods for Rates and Proportions. 3rd ed. Hoboken, NJ: Wiley; 2003.
19. ICD-9-CM Official Guidelines for Coding and Reporting. Available at: http://www.cdc.gov/nchs/data/icd9/icd9cm guidelines 2011.pdf. Accessed November 18, 2011.