Literature DB >> 10630724

Quality of hospital discharge and physician data for type of breast cancer surgery.

S P Pinfold1, V Goel, C Sawka.   

Abstract

OBJECTIVE: The quality of coding for breast surgical procedures was examined by comparing hospital discharge abstracts and physician claims with data abstracted from records of women diagnosed with node-negative breast cancer from April 1, 1991, to December 31, 1991.
METHODS: The node-negative breast cancer cohort was linked with a population registry file. Hospital discharge abstracts and physician billing claims were retrieved for matched subjects. Overall agreement between two data sets was defined as the number of cases for which there was a match by specific type of procedure out of all eligible cases that were matched with the health care utilization file. Specific agreement was assessed by the kappa statistic, using only those records in the administrative data set that were coded for mastectomy or breast-conserving surgery.
RESULTS: Of 735 eligible cases in the node-negative breast cancer cohort, 655 (89.1%) were linked to a health care utilization file. Overall agreement between surgeon billing claims and charts was 95.4% (CI = 93.5, 96.9) for most definitive procedure. Agreement for breast surgery type was 98.1% (kappa = 0.96; CI = 0.87,1.0) for cases coded as breast-conserving surgery or mastectomy. When hospital discharge and chart data were compared, overall agreement was 86.2% (CI = 83.4, 88.8), whereas agreement for breast surgery type was 93.2% (kappa = 0.86; CI = 0.77, 0.94).
CONCLUSION: Overall, definitive surgical procedure in the two administrative databases accurately reflected information recorded in patients' charts. Physician claims appeared to provide more accurate information than did hospital discharge data.

Entities:  

Mesh:

Year:  2000        PMID: 10630724     DOI: 10.1097/00005650-200001000-00011

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  13 in total

1.  Evaluation of factors influencing accuracy of principal procedure coding based on ICD-9-CM: an Iranian study.

Authors:  Mehrdad Farzandipour; Abbas Sheikhtaheri
Journal:  Perspect Health Inf Manag       Date:  2009-05-07

2.  The impact of intraoperative cholangiography on recurrent pancreatitis and biliary complications in patients with gallstone pancreatitis.

Authors:  Paul M Johnson; Mark J Walsh
Journal:  J Gastrointest Surg       Date:  2012-10-06       Impact factor: 3.452

3.  Clinical, sociodemographic, and service provider determinants of guideline concordant colorectal cancer care for Appalachian residents.

Authors:  Steven T Fleming; Heath B Mackley; Fabian Camacho; Eric E Seiber; Niraj J Gusani; Stephen A Matthews; Jason Liao; Tse-Chuan Yang; Wenke Hwang; Nengliang Yao
Journal:  J Rural Health       Date:  2013-06-26       Impact factor: 4.333

4.  Using administrative databases to measure waiting times for patients undergoing major cancer surgery in Ontario, 1993-2000.

Authors:  Marko Simunovic; Marc-Erick Thériault; Lawrence Paszat; Angela Coates; Timothy Whelan; Eric Holowaty; Mark Levine
Journal:  Can J Surg       Date:  2005-04       Impact factor: 2.089

5.  Treatment patterns for prostate cancer: comparison of Medicare claims data to medical record review.

Authors:  Steven T Fleming; Ann S Hamilton; Susan A Sabatino; Gretchen G Kimmick; Xiao-Cheng Wu; Jean B Owen; Bin Huang; Wenke Hwang
Journal:  Med Care       Date:  2014-09       Impact factor: 2.983

6.  Using appendiceal perforation rates to measure impact of a disaster on healthcare system effectiveness.

Authors:  Dominic Mack; George Staben Rust; Peter Baltrus; Barbara Moore; Charles Sow; Vijaykumar Patel; Dwayne Thomas
Journal:  South Med J       Date:  2013-01       Impact factor: 0.954

7.  Same question, different data source, different answers? Data source agreement for surgical procedures on women with breast cancer.

Authors:  D Turner; K J Hildebrand; K Fradette; Latosinsky S
Journal:  Healthc Policy       Date:  2007-08

8.  Validation of colorectal cancer surgery data from administrative data sources.

Authors:  Xue Li; Charlotte King; Christopher deGara; Jonathon White; Marcy Winget
Journal:  BMC Med Res Methodol       Date:  2012-07-11       Impact factor: 4.615

9.  Using administrative health data to describe colorectal and lung cancer care in New South Wales, Australia: a validation study.

Authors:  David E Goldsbury; Katie Armstrong; Leonardo Simonella; Bruce K Armstrong; Dianne L O'Connell
Journal:  BMC Health Serv Res       Date:  2012-11-09       Impact factor: 2.655

10.  Hospital discharge diagnostic and procedure codes for upper gastro-intestinal cancer: how accurate are they?

Authors:  Efty Stavrou; Nicole Pesa; Sallie-Anne Pearson
Journal:  BMC Health Serv Res       Date:  2012-09-21       Impact factor: 2.655

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.