{"id":6591,"date":"2016-12-14T00:00:00","date_gmt":"2016-12-14T05:00:00","guid":{"rendered":"https:\/\/icesontario.wpengine.com\/journal-articles\/positive-predictive-values-of-international-classification-of-diseases-10th-revision-coding-algorithms-to-identify-patients-with-autosomal-dominant-polycystic-kidney-disease\/"},"modified":"2023-06-14T19:37:12","modified_gmt":"2023-06-14T23:37:12","slug":"positive-predictive-values-of-international-classification-of-diseases-10th-revision-coding-algorithms-to-identify-patients-with-autosomal-dominant-polycystic-kidney-disease","status":"publish","type":"journal_article","link":"https:\/\/www.ices.on.ca\/fr\/publications\/journal-articles\/positive-predictive-values-of-international-classification-of-diseases-10th-revision-coding-algorithms-to-identify-patients-with-autosomal-dominant-polycystic-kidney-disease\/","title":{"rendered":"Positive predictive values of international classification of diseases, 10th revision coding algorithms to identify patients with autosomal dominant polycystic kidney disease"},"content":{"rendered":"

Background <\/strong>— International Classification of Diseases, 10th Revision codes (ICD-10) for autosomal dominant polycystic kidney disease (ADPKD) is used within several administrative healthcare databases. It is unknown whether these codes identify patients who meet strict clinical criteria for ADPKD.<\/p>\n

Objective <\/strong>— The objective of this study is (1) to determine whether different ICD-10 coding algorithms identify adult patients who meet strict clinical criteria for ADPKD as assessed through medical chart review and (2) to assess the number of patients identified with different ADPKD coding algorithms in Ontario.<\/p>\n

Design<\/strong> — Validation study of healthcare database codes, and prevalence.<\/p>\n

Setting <\/strong>— Ontario, Canada.<\/p>\n

Patients<\/strong> — For the chart review, 201 adult patients with hospital encounters between April 1, 2002, and March 31, 2014, assigned either ICD-10 codes Q61.2 or Q61.3.<\/p>\n

Measurements<\/strong> — This study measured positive predictive value of the ICD-10 coding algorithms and the number of Ontarians identified with different coding algorithms.<\/p>\n

Methods<\/strong> — We manually reviewed a random sample of medical charts in London, Ontario, Canada, and determined whether or not ADPKD was present according to strict clinical criteria.<\/p>\n

Results <\/strong>— The presence of either ICD-10 code Q61.2 or Q61.3 in a hospital encounter had a positive predictive value of 85% (95% confidence interval [CI], 79%-89%) and identified 2981 Ontarians (0.02% of the Ontario adult population). The presence of ICD-10 code Q61.2 in a hospital encounter had a positive predictive value of 97% (95% CI, 86%-100%) and identified 394 adults in Ontario (0.003% of the Ontario adult population).<\/p>\n

Limitations <\/strong>— (1) We could not calculate other measures of validity; (2) the coding algorithms do not identify patients without hospital encounters; and (3) coding practices may differ between hospitals.<\/p>\n

Conclusions<\/strong> — Most patients with ICD-10 code Q61.2 or Q61.3 assigned during their hospital encounters have ADPKD according to the clinical criteria. These codes can be used to assemble cohorts of adult patients with ADPKD and hospital encounters.<\/p>\n","protected":false},"excerpt":{"rendered":"

Background — International Classification of Diseases, 10th Revision codes (ICD-10) for autosomal dominant polycystic kidney disease (ADPKD) is used within several administrative healthcare databases. It is unknown whether these codes identify patients who meet strict clinical criteria for ADPKD. Objective — The objective of this study is (1) to determine whether different ICD-10 coding algorithms […]<\/p>\n","protected":false},"template":"","migration-helper-automated":[],"migration-manual":[],"topic":[59,49],"migration-helper-qa-sample-set":[],"class_list":["post-6591","journal_article","type-journal_article","status-publish","hentry","topic-data-science","topic-kidney-disease"],"acf":{"citation":"Kalatharan V, Pei Y, Clemens KK, McTavish RK, Dixon SN, Rochon M, Nash DM, Jain A, Sarma S, Zaleski A, Lum A, Garg AX. Can J Kidney Health Dis<\/em>. 2016; 3:1-7.","source_url":"http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2054358116679130","ices_scientist":[1206,1280,1371,1242,1208],"site":[6739,6733],"research_program":[6743],"news_release":[],"journal_article":[],"atlas":[],"research_report":[],"infographic":[],"video":[],"downloads":null,"links":null,"sitecore_item_id":"845610D8-17CB-45B9-9467-564C416280E0","sitecore_item_name":"Positive-predictive-values-of-international-classification-of-diseases","sitecore_field_values":"{\n \"Title\": \"Positive predictive values of international classification of diseases, 10th revision coding algorithms to identify patients with autosomal dominant polycystic kidney disease\",\n \"Summary\": \"This study examines the accuracy of administrative codes used to identify patients with polycystic kidney disease in healthcare administrative databases.\",\n \"Citation\": \"

Kalatharan V, Pei Y, Clemens KK, McTavish RK, Dixon SN, Rochon M, Nash DM, Jain A, Sarma S, Zaleski A, Lum A, Garg AX. Can J Kidney Health Dis<\/em>. 2016; 3:1-7.<\/p>\",\n \"Abstract\": \"

Background <\/strong>— International Classification of Diseases, 10th Revision codes (ICD-10) for autosomal dominant polycystic kidney disease (ADPKD) is used within several administrative healthcare databases. It is unknown whether these codes identify patients who meet strict clinical criteria for ADPKD.<\/p>rn

Objective <\/strong>— The objective of this study is (1) to determine whether different ICD-10 coding algorithms identify adult patients who meet strict clinical criteria for ADPKD as assessed through medical chart review and (2) to assess the number of patients identified with different ADPKD coding algorithms in Ontario.<\/p>rn

Design<\/strong> — Validation study of healthcare database codes, and prevalence.<\/p>rn

Setting <\/strong>— Ontario, Canada.<\/p>rn

Patients<\/strong> — For the chart review, 201 adult patients with hospital encounters between April 1, 2002, and March 31, 2014, assigned either ICD-10 codes Q61.2 or Q61.3.<\/p>rn

Measurements<\/strong> — This study measured positive predictive value of the ICD-10 coding algorithms and the number of Ontarians identified with different coding algorithms.<\/p>rn

Methods<\/strong> — We manually reviewed a random sample of medical charts in London, Ontario, Canada, and determined whether or not ADPKD was present according to strict clinical criteria.<\/p>rn

Results <\/strong>— The presence of either ICD-10 code Q61.2 or Q61.3 in a hospital encounter had a positive predictive value of 85% (95% confidence interval [CI], 79%-89%) and identified 2981 Ontarians (0.02% of the Ontario adult population). The presence of ICD-10 code Q61.2 in a hospital encounter had a positive predictive value of 97% (95% CI, 86%-100%) and identified 394 adults in Ontario (0.003% of the Ontario adult population).<\/p>rn

Limitations <\/strong>— (1) We could not calculate other measures of validity; (2) the coding algorithms do not identify patients without hospital encounters; and (3) coding practices may differ between hospitals.<\/p>rn

Conclusions<\/strong> — Most patients with ICD-10 code Q61.2 or Q61.3 assigned during their hospital encounters have ADPKD according to the clinical criteria. These codes can be used to assemble cohorts of adult patients with ADPKD and hospital encounters.<\/p>rn

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