Implications of using administrative healthcare data to identify risk of motor vehicle crash-related injury: the importance of distinguishing crash from crash-related injury.
Nina R Joyce, Leah R Lombardi, Melissa R Pfeiffer, Allison E Curry, Seth A Margolis, Brian R Ott, Andrew R Zullo
{"title":"Implications of using administrative healthcare data to identify risk of motor vehicle crash-related injury: the importance of distinguishing crash from crash-related injury.","authors":"Nina R Joyce, Leah R Lombardi, Melissa R Pfeiffer, Allison E Curry, Seth A Margolis, Brian R Ott, Andrew R Zullo","doi":"10.1186/s40621-024-00523-3","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Administrative healthcare databases, such as Medicare, are increasingly used to identify groups at risk of a crash. However, they only contain information on crash-related injuries, not all crashes. If the driver characteristics associated with crash and crash-related injury differ, conflating the two may result in ineffective or imprecise policy interventions.</p><p><strong>Methods: </strong>We linked 10 years (2008-2017) of Medicare claims to New Jersey police crash reports to compare the demographics, clinical diagnoses, and prescription drug dispensings for crash-involved drivers ≥ 68 years with a police-reported crash to those with a claim for a crash-related injury. We calculated standardized mean differences to compare characteristics between groups.</p><p><strong>Results: </strong>Crash-involved drivers with a Medicare claim for an injury were more likely than those with a police-reported crash to be female (62.4% vs. 51.8%, standardized mean difference [SMD] = 0.30), had more clinical diagnoses including Alzheimer's disease and related dementias (13.0% vs. 9.2%, SMD = 0.20) and rheumatoid arthritis/osteoarthritis (69.5% vs 61.4%, SMD = 0.20), and a higher rate of dispensing for opioids (33.8% vs 27.6%, SMD = 0.18) and antiepileptics (12.9% vs 9.6%, SMD = 0.14) prior to the crash. Despite documented inconsistencies in coding practices, findings were robust when restricted to claims indicating the injured party was the driver or was left unspecified.</p><p><strong>Conclusions: </strong>To identify effective mechanisms for reducing morbidity and mortality from crashes, researchers should consider augmenting administrative datasets with information from police crash reports, and vice versa. When those data are not available, we caution researchers and policymakers against the tendency to conflate crash and crash-related injury when interpreting their findings.</p>","PeriodicalId":37379,"journal":{"name":"Injury Epidemiology","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11318118/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Injury Epidemiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s40621-024-00523-3","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Administrative healthcare databases, such as Medicare, are increasingly used to identify groups at risk of a crash. However, they only contain information on crash-related injuries, not all crashes. If the driver characteristics associated with crash and crash-related injury differ, conflating the two may result in ineffective or imprecise policy interventions.
Methods: We linked 10 years (2008-2017) of Medicare claims to New Jersey police crash reports to compare the demographics, clinical diagnoses, and prescription drug dispensings for crash-involved drivers ≥ 68 years with a police-reported crash to those with a claim for a crash-related injury. We calculated standardized mean differences to compare characteristics between groups.
Results: Crash-involved drivers with a Medicare claim for an injury were more likely than those with a police-reported crash to be female (62.4% vs. 51.8%, standardized mean difference [SMD] = 0.30), had more clinical diagnoses including Alzheimer's disease and related dementias (13.0% vs. 9.2%, SMD = 0.20) and rheumatoid arthritis/osteoarthritis (69.5% vs 61.4%, SMD = 0.20), and a higher rate of dispensing for opioids (33.8% vs 27.6%, SMD = 0.18) and antiepileptics (12.9% vs 9.6%, SMD = 0.14) prior to the crash. Despite documented inconsistencies in coding practices, findings were robust when restricted to claims indicating the injured party was the driver or was left unspecified.
Conclusions: To identify effective mechanisms for reducing morbidity and mortality from crashes, researchers should consider augmenting administrative datasets with information from police crash reports, and vice versa. When those data are not available, we caution researchers and policymakers against the tendency to conflate crash and crash-related injury when interpreting their findings.
期刊介绍:
Injury Epidemiology is dedicated to advancing the scientific foundation for injury prevention and control through timely publication and dissemination of peer-reviewed research. Injury Epidemiology aims to be the premier venue for communicating epidemiologic studies of unintentional and intentional injuries, including, but not limited to, morbidity and mortality from motor vehicle crashes, drug overdose/poisoning, falls, drowning, fires/burns, iatrogenic injury, suicide, homicide, assaults, and abuse. We welcome investigations designed to understand the magnitude, distribution, determinants, causes, prevention, diagnosis, treatment, prognosis, and outcomes of injuries in specific population groups, geographic regions, and environmental settings (e.g., home, workplace, transport, recreation, sports, and urban/rural). Injury Epidemiology has a special focus on studies generating objective and practical knowledge that can be translated into interventions to reduce injury morbidity and mortality on a population level. Priority consideration will be given to manuscripts that feature contemporary theories and concepts, innovative methods, and novel techniques as applied to injury surveillance, risk assessment, development and implementation of effective interventions, and program and policy evaluation.