{"id":5256,"date":"2012-06-01T00:00:00","date_gmt":"2012-06-01T04:00:00","guid":{"rendered":"https:\/\/icesontario.wpengine.com\/journal-articles\/techniques-for-estimating-health-care-costs-with-censored-data-an-overview-for-the-health-services-researcher\/"},"modified":"2023-06-14T19:55:58","modified_gmt":"2023-06-14T23:55:58","slug":"techniques-for-estimating-health-care-costs-with-censored-data-an-overview-for-the-health-services-researcher","status":"publish","type":"journal_article","link":"https:\/\/www.ices.on.ca\/fr\/publications\/journal-articles\/techniques-for-estimating-health-care-costs-with-censored-data-an-overview-for-the-health-services-researcher\/","title":{"rendered":"Techniques for estimating healthcare costs with censored data: an overview for the health services researcher"},"content":{"rendered":"<p><strong>Objective<\/strong> &#x2014; The aim of this study was to review statistical techniques for estimating the mean population cost using healthcare cost data that, because of the inability to achieve complete follow-up until death, are right censored. The target audience is health service researchers without an advanced statistical background.<\/p>\n<p><strong>Methods<\/strong> &#x2014; Data were sourced from longitudinal heart failure costs from Ontario, Canada, and administrative databases were used for estimating costs. The dataset consisted of 43,888 patients, with follow-up periods ranging from 1 to 1538 days (mean 576 days). The study was designed so that mean healthcare costs over 1080 days of follow-up were calculated using na&#xef;ve estimators such as full-sample and uncensored case estimators. Reweighted estimators &#8211; specifically, the inverse probability weighted estimator &#8211; were calculated, as was phase-based costing. Costs were adjusted to 2008 Canadian dollars using the Bank of Canada consumer price index (http:\/\/www.bankofcanada.ca\/en\/cpi.html).<\/p>\n<p><strong>Results<\/strong> &#x2014; Over the restricted follow-up of 1080 days, 32% of patients were censored. The full-sample estimator was found to underestimate mean cost (&#x24;30,420) compared with the reweighted estimators (&#x24;36,490). The phase-based costing estimate of &#x24;37,237 was similar to that of the simple reweighted estimator.<\/p>\n<p><strong>Conclusion<\/strong> &#x2014; The authors recommend against the use of full-sample or uncensored case estimators when censored data are present. In the presence of heavy censoring, phase-based costing is an attractive alternative approach.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Objective &#x2014; The aim of this study was to review statistical techniques for estimating the mean population cost using healthcare cost data that, because of the inability to achieve complete follow-up until death, are right censored. The target audience is health service researchers without an advanced statistical background. Methods &#x2014; Data were sourced from longitudinal [&hellip;]<\/p>\n","protected":false},"template":"","migration-helper-automated":[],"migration-manual":[],"topic":[61],"migration-helper-qa-sample-set":[],"class_list":["post-5256","journal_article","type-journal_article","status-publish","hentry","topic-health-economics"],"acf":{"citation":"Wijeysundera HC, Wang X, Tomlinson G, Ko DT, Krahn MD. <em>Clinicoecon Outcomes Res<\/em>. 2012; 4:144-55. Epub 2012 Jun 1.","source_url":"https:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC3377439\/","ices_scientist":[1133,1146],"site":[6733,6735],"research_program":[6742,6746],"news_release":[],"journal_article":[],"atlas":[],"research_report":[],"infographic":[],"video":[],"downloads":null,"links":null,"sitecore_item_id":"8064F460-9509-4FF5-9F71-AC2F8F353A31","sitecore_item_name":"Techniques-for-estimating-health-care-costs-with-censored-data-an-overview-for-the-health-services","sitecore_field_values":"{\n  \"Title\": \"Techniques for estimating healthcare costs with censored data: an overview for the health services researcher\",\n  \"Short title\": \"Techniques for estimating healthcare\",\n  \"Citation\": \"<p>Wijeysundera HC, Wang X, Tomlinson G, Ko DT, Krahn MD. <em>Clinicoecon Outcomes Res<\/em>. 2012; 4:144-55. Epub 2012 Jun 1.<\/p>\",\n  \"Abstract\": \"<p><strong>Objective<\/strong> &mdash; The aim of this study was to review statistical techniques for estimating the mean population cost using healthcare cost data that, because of the inability to achieve complete follow-up until death, are right censored. The target audience is health service researchers without an advanced statistical background.<\/p>n<p><strong>Methods<\/strong> &mdash; Data were sourced from longitudinal heart failure costs from Ontario, Canada, and administrative databases were used for estimating costs. The dataset consisted of 43,888 patients, with follow-up periods ranging from 1 to 1538 days (mean 576 days). The study was designed so that mean healthcare costs over 1080 days of follow-up were calculated using na&iuml;ve estimators such as full-sample and uncensored case estimators. Reweighted estimators - specifically, the inverse probability weighted estimator - were calculated, as was phase-based costing. Costs were adjusted to 2008 Canadian dollars using the Bank of Canada consumer price index (http:\/\/www.bankofcanada.ca\/en\/cpi.html).<\/p>n<p><strong>Results<\/strong> &mdash; Over the restricted follow-up of 1080 days, 32% of patients were censored. The full-sample estimator was found to underestimate mean cost ($30,420) compared with the reweighted estimators ($36,490). The phase-based costing estimate of $37,237 was similar to that of the simple reweighted estimator.<\/p>n<p><strong>Conclusion<\/strong> &mdash; The authors recommend against the use of full-sample or uncensored case estimators when censored data are present. In the presence of heavy censoring, phase-based costing is an attractive alternative approach.<\/p>n<p><a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC3377439\/\" title=\"Opens external link\">View full text<\/a><\/p>\",\n  \"Keywords\": \"{5B386094-8417-4B93-9D08-2F46BC0458AB}|{CDDF7B9A-B998-4F32-B509-5A4A5C703470}\",\n  \"Research Programs\": \"{BEC72DE0-BA8C-42B8-ACE5-EE29FFB2CB3B}|{CFE36C89-C969-4C23-B5E4-1BA9E5BDC273}\",\n  \"ICES Locations\": \"{4FCAABBA-14A5-42E6-8F33-BC6C2F1D9908}|{FBE2D1B1-C0BA-423F-8D16-39466B6C1424}\",\n  \"ICES Scientists\": \"{8C2597F4-2B41-4E87-9F28-6887C689651B}|{B3827152-93D1-4FB2-B106-590CB331A264}|{9EB22F72-67F1-409E-AB1B-D1C045367A84}\",\n  \"Downloads\": null,\n  \"Posted Date\": \"20120601T000000\"\n}","previous_url":"https:\/\/www.ices.on.ca\/Publications\/Journal-Articles\/2012\/January\/Techniques-for-estimating-health-care-costs-with-censored-data-an-overview-for-the-health-services"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>ICES | Techniques for estimating healthcare costs with censored data: an overview for the health services researcher<\/title>\n<meta name=\"description\" content=\"Objective &#x2014; 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