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Published in: BMC Health Services Research 1/2012

Open Access 01-12-2012 | Research article

Implementation of ICD-10 in Canada: how has it impacted coded hospital discharge data?

Authors: Robin L Walker, Deirdre A Hennessy, Helen Johansen, Christie Sambell, Lisa Lix, Hude Quan

Published in: BMC Health Services Research | Issue 1/2012

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Abstract

Background

The purpose of this study was to assess whether or not the change in coding classification had an impact on diagnosis and comorbidity coding in hospital discharge data across Canadian provinces.

Methods

This study examined eight years (fiscal years 1998 to 2005) of hospital records from the Hospital Person-Oriented Information database (HPOI) derived from the Canadian national Discharge Abstract Database. The average number of coded diagnoses per hospital visit was examined from 1998 to 2005 for provinces that switched from International Classifications of Disease 9th version (ICD-9-CM) to ICD-10-CA during this period. The average numbers of type 2 and 3 diagnoses were also described. The prevalence of the Charlson comorbidities and distribution of the Charlson score one year before and one year after ICD-10 implementation for each of the 9 provinces was examined. The prevalence of at least one of the seventeen Charlson comorbidities one year before and one year after ICD-10 implementation were described by hospital characteristics (teaching/non-teaching, urban/rural, volume of patients).

Results

Nine Canadian provinces switched from ICD-9-CM to ICD-I0-CA over a 6 year period starting in 2001. The average number of diagnoses coded per hospital visit for all code types over the study period was 2.58. After implementation of ICD-10-CA a decrease in the number of diagnoses coded was found in four provinces whereas the number of diagnoses coded in the other five provinces remained similar. The prevalence of at least one of the seventeen Charlson conditions remained relatively stable after ICD-10 was implemented, as did the distribution of the Charlson score. When stratified by hospital characteristics, the prevalence of at least one Charlson condition decreased after ICD-10-CA implementation, particularly for low volume hospitals.

Conclusion

In conclusion, implementation of ICD-10-CA in Canadian provinces did not substantially change coding practices, but there was some coding variation in the average number of diagnoses per hospital visit across provinces.
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Literature
1.
go back to reference Asch SM, Sloss EM, Hogan C, Brook RH, Kravitz RL: Measuring underuse of necessary care among elderly Medicare beneficiaries using inpatient and outpatient claims. [see comments]. JAMA. 2000, 284: 2325-2333. 10.1001/jama.284.18.2325.CrossRefPubMed Asch SM, Sloss EM, Hogan C, Brook RH, Kravitz RL: Measuring underuse of necessary care among elderly Medicare beneficiaries using inpatient and outpatient claims. [see comments]. JAMA. 2000, 284: 2325-2333. 10.1001/jama.284.18.2325.CrossRefPubMed
2.
go back to reference Feasby TE, Quan H, Ghali WA: Provincial carotid endarterectomy outcomes. Can J Neurol Sci. 2002, 29: 333-336.CrossRefPubMed Feasby TE, Quan H, Ghali WA: Provincial carotid endarterectomy outcomes. Can J Neurol Sci. 2002, 29: 333-336.CrossRefPubMed
3.
go back to reference McAlister FA, Quan H, Fong A, Jin Y, Cujec B, Johnson D: Effect of invasive coronary revascularization in acute myocardial infarction on subsequent death rate and frequency of chronic heart failure. Am J Cardiol. 2008, 102: 1-5. 10.1016/j.amjcard.2008.02.089.CrossRefPubMed McAlister FA, Quan H, Fong A, Jin Y, Cujec B, Johnson D: Effect of invasive coronary revascularization in acute myocardial infarction on subsequent death rate and frequency of chronic heart failure. Am J Cardiol. 2008, 102: 1-5. 10.1016/j.amjcard.2008.02.089.CrossRefPubMed
4.
go back to reference Tu JV, Austin PC, Chan BT: Relationship between annual volume of patients treated by admitting physician and mortality after acute myocardial infarction. JAMA. 2001, 285: 3116-3122. 10.1001/jama.285.24.3116.CrossRefPubMed Tu JV, Austin PC, Chan BT: Relationship between annual volume of patients treated by admitting physician and mortality after acute myocardial infarction. JAMA. 2001, 285: 3116-3122. 10.1001/jama.285.24.3116.CrossRefPubMed
5.
go back to reference Rosenthal GE, Harper DL, Quinn LM, Cooper GS: Severity-adjusted mortality and length of stay in teaching and nonteaching hospitals. Results of a regional study [see comments]. JAMA. 1997, 278: 485-490. 10.1001/jama.1997.03550060061037.CrossRefPubMed Rosenthal GE, Harper DL, Quinn LM, Cooper GS: Severity-adjusted mortality and length of stay in teaching and nonteaching hospitals. Results of a regional study [see comments]. JAMA. 1997, 278: 485-490. 10.1001/jama.1997.03550060061037.CrossRefPubMed
6.
go back to reference Mitchell JB, Bubolz T, Paul JE, Pashos CL, Escarce JJ, Muhlbaier LH, et al: Using Medicare claims for outcomes research. Med Care. 1994, 32: JS38-JS51. 10.1097/00005650-199407001-00003.CrossRefPubMed Mitchell JB, Bubolz T, Paul JE, Pashos CL, Escarce JJ, Muhlbaier LH, et al: Using Medicare claims for outcomes research. Med Care. 1994, 32: JS38-JS51. 10.1097/00005650-199407001-00003.CrossRefPubMed
7.
go back to reference Deyo RA, Taylor VM, Diehr P, Conrad D, Cherkin DC, Ciol M, et al: Analysis of automated administrative and survey databases to study patterns and outcomes of care. Spine. 1994, 19: 2083S-2091S. 10.1097/00007632-199409151-00011.CrossRefPubMed Deyo RA, Taylor VM, Diehr P, Conrad D, Cherkin DC, Ciol M, et al: Analysis of automated administrative and survey databases to study patterns and outcomes of care. Spine. 1994, 19: 2083S-2091S. 10.1097/00007632-199409151-00011.CrossRefPubMed
8.
9.
go back to reference World Health Organization: International Statistical Classification of Disease and Related Health Problems, Tenth Revision (ICD-10). 2004, Geneva: World Health Organization World Health Organization: International Statistical Classification of Disease and Related Health Problems, Tenth Revision (ICD-10). 2004, Geneva: World Health Organization
10.
go back to reference World Health Organization: ICD Implementation by Countries and by Year. 2003, Geneva: World Health Organization World Health Organization: ICD Implementation by Countries and by Year. 2003, Geneva: World Health Organization
11.
go back to reference Quan H, Parsons GA, Ghali WA: Validity of procedure codes in international classification of diseases, 9th revision, clinical modification administrative data. Med Care. 2004, 42: 801-809. 10.1097/01.mlr.0000132391.59713.0d.CrossRefPubMed Quan H, Parsons GA, Ghali WA: Validity of procedure codes in international classification of diseases, 9th revision, clinical modification administrative data. Med Care. 2004, 42: 801-809. 10.1097/01.mlr.0000132391.59713.0d.CrossRefPubMed
12.
go back to reference Quan H, Parson G, Ghali W: Validity of information on comorbidity derived from ICD-9-CM administrative data. Med Care. 2002, 40: 675-685. 10.1097/00005650-200208000-00007.CrossRefPubMed Quan H, Parson G, Ghali W: Validity of information on comorbidity derived from ICD-9-CM administrative data. Med Care. 2002, 40: 675-685. 10.1097/00005650-200208000-00007.CrossRefPubMed
13.
go back to reference Quan H, Parsons GA, Ghali WA: Assessing accuracy of diagnosis-type indicators for flagging complications in administrative data. J Clin Epidemiol. 2004, 57: 366-372. 10.1016/j.jclinepi.2003.01.002.CrossRefPubMed Quan H, Parsons GA, Ghali WA: Assessing accuracy of diagnosis-type indicators for flagging complications in administrative data. J Clin Epidemiol. 2004, 57: 366-372. 10.1016/j.jclinepi.2003.01.002.CrossRefPubMed
14.
go back to reference Iezzoni LI, Burnside S, Sickles L, Moskowitz MA, Sawitz E, Levine PA: Coding of acute myocardial infarction. Clinical and policy implications. Ann Intern Med. 1988, 109: 745-751.CrossRefPubMed Iezzoni LI, Burnside S, Sickles L, Moskowitz MA, Sawitz E, Levine PA: Coding of acute myocardial infarction. Clinical and policy implications. Ann Intern Med. 1988, 109: 745-751.CrossRefPubMed
15.
go back to reference Lee DS, Donovan L, Austin PC, Gong Y, Liu PP, Rouleau JL, et al: Comparison of coding of heart failure and comorbidities in administrative and clinical data for use in outcomes research. Med Care. 2005, 43: 182-188. 10.1097/00005650-200502000-00012.CrossRefPubMed Lee DS, Donovan L, Austin PC, Gong Y, Liu PP, Rouleau JL, et al: Comparison of coding of heart failure and comorbidities in administrative and clinical data for use in outcomes research. Med Care. 2005, 43: 182-188. 10.1097/00005650-200502000-00012.CrossRefPubMed
16.
go back to reference Weingart SN, Iezzoni LI, Davis RB, Palmer RH, Cahalane M, Hamel MB, et al: Use of administrative data to find substandard care: validation of the complications screening program. Med Care. 2000, 38: 796-806. 10.1097/00005650-200008000-00004.CrossRefPubMed Weingart SN, Iezzoni LI, Davis RB, Palmer RH, Cahalane M, Hamel MB, et al: Use of administrative data to find substandard care: validation of the complications screening program. Med Care. 2000, 38: 796-806. 10.1097/00005650-200008000-00004.CrossRefPubMed
17.
go back to reference Hsia DC, Ahern CA, Ritchie BP, Moscoe LM, Krushat WM: Medicare reimbursement accuracy under the prospective payment system, 1985 to 1988. JAMA. 1992, 268: 896-899. 10.1001/jama.1992.03490070078046.CrossRefPubMed Hsia DC, Ahern CA, Ritchie BP, Moscoe LM, Krushat WM: Medicare reimbursement accuracy under the prospective payment system, 1985 to 1988. JAMA. 1992, 268: 896-899. 10.1001/jama.1992.03490070078046.CrossRefPubMed
18.
go back to reference Kokotailo RA, Hill MD: Coding of stroke and stroke risk factors using international classification of diseases, revisions 9 and 10. Stroke. 2005, 36: 1776-1781. 10.1161/01.STR.0000174293.17959.a1.CrossRefPubMed Kokotailo RA, Hill MD: Coding of stroke and stroke risk factors using international classification of diseases, revisions 9 and 10. Stroke. 2005, 36: 1776-1781. 10.1161/01.STR.0000174293.17959.a1.CrossRefPubMed
19.
go back to reference Henderson T, Shepheard J, Sundararajan V: Quality of diagnosis and procedure coding in ICD-10 administrative data. Med Care. 2006, 44: 1011-1019. 10.1097/01.mlr.0000228018.48783.34.CrossRefPubMed Henderson T, Shepheard J, Sundararajan V: Quality of diagnosis and procedure coding in ICD-10 administrative data. Med Care. 2006, 44: 1011-1019. 10.1097/01.mlr.0000228018.48783.34.CrossRefPubMed
20.
go back to reference Kaafarani HM, Borzecki AM, Itani KM, Loveland S, Mull HJ, Hickson K, et al: Validity of selected Patient Safety Indicators: opportunities and concerns. J Am Coll Surg. 2011, 212: 924-934. 10.1016/j.jamcollsurg.2010.07.007.CrossRefPubMed Kaafarani HM, Borzecki AM, Itani KM, Loveland S, Mull HJ, Hickson K, et al: Validity of selected Patient Safety Indicators: opportunities and concerns. J Am Coll Surg. 2011, 212: 924-934. 10.1016/j.jamcollsurg.2010.07.007.CrossRefPubMed
21.
go back to reference Jette N, Reid AY, Quan H, Hill MD, Wiebe S: How accurate is ICD coding for epilepsy?. Epilepsia. 2010, 51: 62-69.CrossRefPubMed Jette N, Reid AY, Quan H, Hill MD, Wiebe S: How accurate is ICD coding for epilepsy?. Epilepsia. 2010, 51: 62-69.CrossRefPubMed
22.
go back to reference Statistics Canada: Household Surveys Methodology Division. External Linkage of Person-oriented Information 1992/93 to 2000/01 Hospital Morbidity Files. 2003, Statistics Canada Statistics Canada: Household Surveys Methodology Division. External Linkage of Person-oriented Information 1992/93 to 2000/01 Hospital Morbidity Files. 2003, Statistics Canada
23.
go back to reference Mendelssohn DC, Barrett BJ, Brownscombe LM, Ethier J, Greenberg DE, Kanani SD, et al: Elevated levels of serum creatinine: recommendations for management and referral. CMAJ. 1999, 161: 413-417.PubMedPubMedCentral Mendelssohn DC, Barrett BJ, Brownscombe LM, Ethier J, Greenberg DE, Kanani SD, et al: Elevated levels of serum creatinine: recommendations for management and referral. CMAJ. 1999, 161: 413-417.PubMedPubMedCentral
24.
go back to reference Canadian Institute for Health Information: Canadian Coding Standards for ICD-10-CA and CCI 2006. 2006, Ottawa: CIHI Canadian Institute for Health Information: Canadian Coding Standards for ICD-10-CA and CCI 2006. 2006, Ottawa: CIHI
25.
go back to reference Charlson ME, Pompei P, Ales KL, MacKenzie CR: A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987, 40: 373-383. 10.1016/0021-9681(87)90171-8.CrossRefPubMed Charlson ME, Pompei P, Ales KL, MacKenzie CR: A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987, 40: 373-383. 10.1016/0021-9681(87)90171-8.CrossRefPubMed
26.
go back to reference Quan H, Sundararajan V, Halfon P, Fong A, Burnand B, Luthi JC, et al: Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care. 2005, 43: 1130-1139. 10.1097/01.mlr.0000182534.19832.83.CrossRefPubMed Quan H, Sundararajan V, Halfon P, Fong A, Burnand B, Luthi JC, et al: Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care. 2005, 43: 1130-1139. 10.1097/01.mlr.0000182534.19832.83.CrossRefPubMed
27.
go back to reference Deyo RA, Cherkin DC, Ciol MA: Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992, 45: 613-619. 10.1016/0895-4356(92)90133-8.CrossRefPubMed Deyo RA, Cherkin DC, Ciol MA: Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992, 45: 613-619. 10.1016/0895-4356(92)90133-8.CrossRefPubMed
28.
go back to reference Quan H, Li B, Saunders LD, Parsons GA, Nilsson CI, Alibhai A, et al: Assessing validity of ICD-9-CM and ICD-10 administrative data in recording clinical conditions in a unique dually coded database. Health Serv Res. 2008, 43: 1424-1441. 10.1111/j.1475-6773.2007.00822.x.CrossRefPubMedPubMedCentral Quan H, Li B, Saunders LD, Parsons GA, Nilsson CI, Alibhai A, et al: Assessing validity of ICD-9-CM and ICD-10 administrative data in recording clinical conditions in a unique dually coded database. Health Serv Res. 2008, 43: 1424-1441. 10.1111/j.1475-6773.2007.00822.x.CrossRefPubMedPubMedCentral
29.
go back to reference Januel JM, Luthi JC, Quan H, Borst F, Taffe P, Ghali WA, et al: Improved accuracy of comorbidity coding over time after the introduction of ICD-10 administrative data. BMC Health Serv Res. 2011, 11: 194-10.1186/1472-6963-11-194.CrossRefPubMedPubMedCentral Januel JM, Luthi JC, Quan H, Borst F, Taffe P, Ghali WA, et al: Improved accuracy of comorbidity coding over time after the introduction of ICD-10 administrative data. BMC Health Serv Res. 2011, 11: 194-10.1186/1472-6963-11-194.CrossRefPubMedPubMedCentral
30.
go back to reference Canadian Institute for Health Information: Case Mix Group + Tool Kit, Transitioning to the New CMG + Grouping Methodology (and Associated Health Resource Indicators), 2007–2008. 2007, Ottawa: CIHI Canadian Institute for Health Information: Case Mix Group + Tool Kit, Transitioning to the New CMG + Grouping Methodology (and Associated Health Resource Indicators), 2007–2008. 2007, Ottawa: CIHI
31.
go back to reference Preyra C: Coding response to a case-mix measurement system based on multiple diagnoses. Health Serv Res. 2004, 39: 1027-1045. 10.1111/j.1475-6773.2004.00270.x.CrossRefPubMedPubMedCentral Preyra C: Coding response to a case-mix measurement system based on multiple diagnoses. Health Serv Res. 2004, 39: 1027-1045. 10.1111/j.1475-6773.2004.00270.x.CrossRefPubMedPubMedCentral
32.
go back to reference Gibson N, Bridgman SA: A novel method for the assessment of the accuracy of diagnostic codes in general surgery. Ann R Coll Surg Engl. 1998, 80: 293-296.PubMedPubMedCentral Gibson N, Bridgman SA: A novel method for the assessment of the accuracy of diagnostic codes in general surgery. Ann R Coll Surg Engl. 1998, 80: 293-296.PubMedPubMedCentral
33.
go back to reference Quan H, Khan N, Hemmelgarn BR, Tu K, Chen G, Campbell N, et al: Validation of a case definition to define hypertension using administrative data. Hypertension. 2009, 54: 1423-1428. 10.1161/HYPERTENSIONAHA.109.139279.CrossRefPubMed Quan H, Khan N, Hemmelgarn BR, Tu K, Chen G, Campbell N, et al: Validation of a case definition to define hypertension using administrative data. Hypertension. 2009, 54: 1423-1428. 10.1161/HYPERTENSIONAHA.109.139279.CrossRefPubMed
34.
go back to reference Chen G, Khan N, Walker R, Quan H: Validating ICD coding algorithms for diabetes mellitus from administrative data. Diabetes Res Clin Pract. 2010, 89: 189-195. 10.1016/j.diabres.2010.03.007.CrossRefPubMed Chen G, Khan N, Walker R, Quan H: Validating ICD coding algorithms for diabetes mellitus from administrative data. Diabetes Res Clin Pract. 2010, 89: 189-195. 10.1016/j.diabres.2010.03.007.CrossRefPubMed
35.
go back to reference National Center for Health Statistics: Classifications of Diseases and Functioning & Disability. About the International classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM). 2009 National Center for Health Statistics: Classifications of Diseases and Functioning & Disability. About the International classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM). 2009
Metadata
Title
Implementation of ICD-10 in Canada: how has it impacted coded hospital discharge data?
Authors
Robin L Walker
Deirdre A Hennessy
Helen Johansen
Christie Sambell
Lisa Lix
Hude Quan
Publication date
01-12-2012
Publisher
BioMed Central
Published in
BMC Health Services Research / Issue 1/2012
Electronic ISSN: 1472-6963
DOI
https://doi.org/10.1186/1472-6963-12-149

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