» Articles » PMID: 22784239

Validation of Colorectal Cancer Surgery Data from Administrative Data Sources

Overview
Publisher Biomed Central
Date 2012 Jul 13
PMID 22784239
Citations 16
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Surgery is the primary treatment for colorectal cancer for both curative and palliative intent. Availability of high quality surgery data is essential for assessing many aspects of the quality of colorectal cancer care. The objective of this study was to determine the quality of different administrative data sources in identifying surgery for colorectal cancer with respect to completeness and accuracy.

Methods: All residents in Alberta, Canada who were diagnosed with invasive colorectal cancer in years 2000-2005 were identified from the Alberta Cancer Registry and included in the study. Surgery data for these patients were obtained from the Cancer Registry (which collects the date of surgery for which the primary tumor was removed) and compared to surgery data obtained from two different administrative data sources: Physician Billing and Hospital Inpatient data. Sensitivity, specificity, positive predictive value, negative predictive value and observed agreement were calculated compared to the Cancer Registry data.

Results: The Physician Billing data alone or combined with Hospital Inpatient data demonstrated equally high sensitivity (97% for both) and observed agreement with the Cancer Registry data (93% for both) for identifying surgeries. The Hospital Inpatient data, however, had the highest specificity (80%). The positive predictive value varied by disease stage and across data sources for stage IV (99% for stages I-III and 83-89% for stage IV), the specificity is better for colon cancer surgeries (72-85%) than for rectal cancer surgeries (60-73%); validation measures did not vary over time.

Conclusion: Physician Billing data identify the colorectal cancer surgery more completely than Hospital Inpatient data although both sources have a high level of completeness.

Citing Articles

Bleeding risk from nonsteroidal anti-inflammatory drugs after functional endoscopic sinus surgery: Analysis of the TriNetX database.

Salmon M, Eide J, Kshirsagar R, Palmer J, Adappa N, Kohanski M World J Otorhinolaryngol Head Neck Surg. 2024; 10(4):303-308.

PMID: 39677052 PMC: 11634731. DOI: 10.1002/wjo2.142.


Patient, physician and geographic predictors of cardiac stress testing strategy in Ontario, Canada: a population-based study.

Roifman I, Han L, Fang J, Chu A, Austin P, Ko D BMJ Open. 2022; 12(3):e059199.

PMID: 35273065 PMC: 8915339. DOI: 10.1136/bmjopen-2021-059199.


Estimating the optimal rate of adjuvant chemotherapy utilization for stage III colon cancer.

Karim S, Booth C, Brennan K, Peng Y, Siemens D, Krzyzanowska M Cancer Med. 2019; 8(12):5590-5599.

PMID: 31407518 PMC: 6745837. DOI: 10.1002/cam4.2456.


Do Diagnostic and Procedure Codes Within Population-Based, Administrative Datasets Accurately Identify Patients with Rectal Cancer?.

Musselman R, Gomes T, Rothwell D, Auer R, Moloo H, Boushey R J Gastrointest Surg. 2018; 23(2):367-376.

PMID: 30511129 DOI: 10.1007/s11605-018-4043-z.


Population-based study to re-evaluate optimal lymph node yield in colonic cancer.

Del Paggio J, Peng Y, Wei X, Nanji S, MacDonald P, Nair C Br J Surg. 2017; 104(8):1087-1096.

PMID: 28542954 PMC: 7938819. DOI: 10.1002/bjs.10540.


References
1.
Lipscomb J, Gillespie T . State-level cancer quality assessment and research: building and sustaining the data infrastructure. Cancer J. 2011; 17(4):246-56. PMC: 4879873. DOI: 10.1097/PPO.0b013e3182296422. View

2.
Beatty J, Adachi M, Bonham C, Atwood M, Potts M, Hafterson J . Utilization of cancer registry data for monitoring quality of care. Am J Surg. 2011; 201(5):645-9. DOI: 10.1016/j.amjsurg.2011.01.004. View

3.
Cooper G, Virnig B, Klabunde C, Schussler N, Freeman J, Warren J . Use of SEER-Medicare data for measuring cancer surgery. Med Care. 2002; 40(8 Suppl):IV-43-8. DOI: 10.1097/00005650-200208001-00006. View

4.
Kahn L, Blustein J, Arons R, Yee R, Shea S . The validity of hospital administrative data in monitoring variations in breast cancer surgery. Am J Public Health. 1996; 86(2):243-5. PMC: 1380336. DOI: 10.2105/ajph.86.2.243. View

5.
Meguerditchian A, Stewart A, Roistacher J, Watroba N, Cropp M, Edge S . Claims data linked to hospital registry data enhance evaluation of the quality of care of breast cancer. J Surg Oncol. 2010; 101(7):593-9. DOI: 10.1002/jso.21528. View