{"id":20394,"date":"2024-09-16T16:00:00","date_gmt":"2024-09-16T20:00:00","guid":{"rendered":"https:\/\/www.ices.on.ca\/?post_type=journal_article&p=20394"},"modified":"2024-09-18T14:25:07","modified_gmt":"2024-09-18T18:25:07","slug":"days-at-home-after-traumatic-brain-injury","status":"publish","type":"journal_article","link":"https:\/\/www.ices.on.ca\/fr\/publications\/journal-articles\/days-at-home-after-traumatic-brain-injury\/","title":{"rendered":"Days at home after traumatic brain injury: moving beyond mortality to evaluate patient-centered outcomes using population health data"},"content":{"rendered":"

Background and objectives<\/strong> \u2014 Administrative data are invaluable for assessing outcomes at the population level. However, there are few validated patient-centered outcome measures that capture morbidity following traumatic brain injury (TBI) using these data. We sought to characterize and validate days at home (DAH) as a measure to quantify population-level outcomes after moderate to severe TBI. We additionally assessed the earliest feasible outcome assessment period for patients with TBI using this outcome measure.<\/p>\n

Methods<\/strong> \u2014 This multicenter retrospective cohort study used linked health administrative data sources to identify adults with moderate to severe TBI presenting to trauma centers in Ontario, Canada, between 2009 and 2021. DAH at 180 days (DAH180 days) reflects the total number of days spent alive and at home excluding the days spent institutionalized across care settings. Construct validity was determined using hierarchical quantile regression to assess the associations between clinical and injury covariates with DAH180 days. Predictive validity was assessed using Spearman rank correlation. We estimated minimally important difference (MID) in DAH180 days to aid with outcome measure interpretability.<\/p>\n

Results<\/strong> \u2014 There were 6,340 patients who met inclusion criteria. Median DAH180 days was 70 days (interquartile range 0\u2013144). Mortality occurred in 2,162 (34.1%) patients within 90 days following injury. Patients in the lower DAH180 days group were more commonly older (absolute standardized difference [ASD] = 0.68) with higher preinjury health resource utilization (ASD =0.36) and greater injury severity (ASD = 0.81). Increased baseline health resource utilization (\u221210.1 days, 95% CI \u221217.4 to \u22122.8, p = 0.0041), older age (\u22124.6 days, 95% CI \u22125.7 to \u22123.4, p < 0.001), higher cranial injury severity (\u221284.6 days, 95% CI \u221298.3 to \u221271.0, p < 0.001), and major extracranial injuries (\u221214.2 days, 95% CI \u221219.5 to \u22128.93, p < 0.001) were significantly associated with fewer DAH180 days. DAH180 days was positively correlated with DAH at up to 3 years (r = 0.91, 95% CI 0.90\u20130.92) and negatively correlated with direct health care expenditure (rs = \u22120.89, 95% CI \u22120.88 to \u22120.90). The average MID estimated from anchor-based and distribution-based methods was 18 days.<\/p>\n

Discussion<\/strong> \u2014 We validate DAH180 days as a potentially useful outcome measure with construct, predictive, and face validity in a population with moderate to severe TBI. Given the intensity of acute care requirements for patients with TBI, our work highlights DAH180 days as a feasible and sufficiently responsive outcome measure.<\/p>\n","protected":false},"excerpt":{"rendered":"

Background and objectives \u2014 Administrative data are invaluable for assessing outcomes at the population level. However, there are few validated patient-centered outcome measures that capture morbidity following traumatic brain injury (TBI) using these data. We sought to characterize and validate days at home (DAH) as a measure to quantify population-level outcomes after moderate to severe […]<\/p>\n","protected":false},"template":"","migration-helper-automated":[],"migration-manual":[],"topic":[62,30,55],"migration-helper-qa-sample-set":[],"class_list":["post-20394","journal_article","type-journal_article","status-publish","hentry","topic-health-services-research","topic-home-and-community-care","topic-injuries-and-accidents"],"acf":{"citation":"Malhotra AK, Nathens AB, Shakil H, Jaffe RH, Essa A, Mathieu F, Badhiwala J, Yuan E, Thorpe K, Kulkarni AV, Witiw CD, Wilson JR. Neurology<\/em>. 2024; 103:e209904.","source_url":"https:\/\/doi.org\/10.1212\/WNL.0000000000209904","ices_scientist":[1303],"site":[6733],"research_program":[6745],"news_release":"","journal_article":"","atlas":"","research_report":"","infographic":"","video":"","downloads":null,"links":null,"sitecore_item_id":"","sitecore_item_name":"","sitecore_field_values":"","previous_url":""},"yoast_head":"\nICES | Days at home after traumatic brain injury: moving beyond mortality to evaluate patient-centered outcomes using population health data<\/title>\n<meta name=\"description\" content=\"Background and objectives \u2014 Administrative data are invaluable for assessing outcomes at the population level. 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