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Karin A. Mack
Centers for Disease Control and Prevention
101Publications
30H-index
3,967Citations
Publications 101
Newest
#1Juliet Haarbauer-Krupa (CDC: Centers for Disease Control and Prevention)H-Index: 6
#2Tadesse Haileyesus (CDC: Centers for Disease Control and Prevention)H-Index: 14
Last.Andrew Joseph (Georgia Institute of Technology)
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Abstract Introduction : Falls are the leading cause of traumatic brain injury (TBI) for children in the 0–4 year age group. There is limited literature pertaining to fall-related TBIs in children age 4 and under and the circumstances surrounding these TBIs. This study provides a national estimate and describes actions and products associated with fall-related TBI in this age group. Method : Data analyzed were from the 2001–2013 National Electronic Injury Surveillance System–All Injury Program (N...
#1Natalie Wilkins (CDC: Centers for Disease Control and Prevention)H-Index: 5
#2Xinjian Zhang (CDC: Centers for Disease Control and Prevention)H-Index: 3
Last.Roderick John McClure (UNE: University of New England (United States))H-Index: 36
view all 15 authors...
Abstract In this ecological study, we attempt to quantify the extent to which differences in homicide and suicide death rates between three countries, and among states/provinces within those countries, may be explained by differences in their social, economic, and structural characteristics. We examine the relationship between state/province level measures of societal risk factors and state/province level rates of violent death (homicide and suicide) across Australia, Canada, and the United Stat...
#1Cora Peterson (CDC: Centers for Disease Control and Prevention)H-Index: 11
#2Likang Xu (CDC: Centers for Disease Control and Prevention)H-Index: 16
Last.Karin A. Mack (CDC: Centers for Disease Control and Prevention)H-Index: 30
view all 4 authors...
Abstract Objective To classify and compare US nationwide opioid-related hospital inpatient discharges over time by discharge type: 1) opioid use disorder (OUD) diagnosis without opioid overdose, detoxification, or rehabilitation services, 2) opioid overdose, 3) OUD diagnosis or opioid overdose with detoxification services, and 4) OUD diagnosis or opioid overdose with rehabilitation services. Methods Survey-weighted national analysis of hospital discharges in the Healthcare Cost and Utilization P...
#1Karin A. Mack (CDC: Centers for Disease Control and Prevention)H-Index: 30
#2Holly Hedegaard (CDC: Centers for Disease Control and Prevention)H-Index: 1
Last.Erin K. Sauber-Schatz (CDC: Centers for Disease Control and Prevention)H-Index: 6
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AbstractObjectives: Both the National Vital Statistics System (NVSS) and the Fatality Analysis Reporting System (FARS) can be used to examine motor vehicle crash (MVC) deaths. These 2 data systems operate independently, using different methods to collect and code information about the type of vehicle (e.g., car, truck, bus) and road user (e.g., occupant, motorcyclist, pedestrian) involved in an MVC. A substantial proportion of MVC deaths in NVSS are coded as “unspecified” road user, which reduce...
#1Judy Qualters (CDC: Centers for Disease Control and Prevention)
#2Angela Marr (CDC: Centers for Disease Control and Prevention)H-Index: 3
Last.Karin A. Mack (CDC: Centers for Disease Control and Prevention)H-Index: 30
view all 4 authors...
The Division of Analysis, Research, and Practice Integration (DARPI) at the U.S. Centers for Disease Control and Prevention’s Injury Center is taking stock of five years of research and practice. This session will start with a brief, high-level overview of accomplishments to date, but then turn more directly to new initiatives that will advance the field of injury prevention. DARPI seeks to actively catalyze systems change, as well as the translation and implementation of effective prevention st...
#1Karin A. Mack (CDC: Centers for Disease Control and Prevention)H-Index: 30
The Division of Analysis, Research and Practice Integration (DARPI) was established in 2013 and has been fast at work to grow a base for the intersection of science and action and to build the case for a systems perspective. We argue that population level reductions in injury-related morbidity and mortality is rarely achieved by simply multiplying the scale of a prevention program that has been shown to be efficacious under controlled research circumstances. More often population level impact is...
#1Christopher L. Ringwalt (UNC: University of North Carolina at Chapel Hill)H-Index: 33
#2Catherine Sanford (UNC: University of North Carolina at Chapel Hill)H-Index: 4
Last.Karin A. Mack (CDC: Centers for Disease Control and Prevention)H-Index: 30
view all 8 authors...
Effective community-based actions are urgently needed to combat the ongoing epidemic of opioid overdose. Community readiness (CR) has been linked to communities’ support for collective action, which in turn has been associated with the success of community-wide prevention strategies and resulting behavior change. Our study, conducted in North Carolina, assessed the relationship between CR and two indices of opioid overdose. County-level data included a survey of health directors that assessed CR...
#1Cora Peterson (CDC: Centers for Disease Control and Prevention)H-Index: 11
#2Likang Xu (CDC: Centers for Disease Control and Prevention)H-Index: 16
Last.Karin A. Mack (CDC: Centers for Disease Control and Prevention)H-Index: 30
view all 5 authors...
Abstract Background Understanding more about circumstances in which patients receive an opioid use disorder (OUD) diagnosis might illuminate opportunities for intervention and ultimately prevent opioid overdoses. This study aimed to describe patient and clinical characteristics of hospital discharges documenting OUD among patients not being treated for opioid overdose, detoxification, or rehabilitation. Methods We assessed patient, payer, and clinical characteristics of nationally-representative...
#1Alexis B. Peterson (CDC: Centers for Disease Control and Prevention)H-Index: 1
#2Erin K. Sauber-Schatz (USPHS: United States Public Health Service)H-Index: 6
Last.Karin A. Mack (CDC: Centers for Disease Control and Prevention)H-Index: 30
view all 3 authors...
Abstract Introduction: As more states legalize medical/recreational marijuana use, it is important to determine if state motor-vehicle surveillance systems can effectively monitor and track driving under the influence (DUI) of marijuana. This study assessed Colorado's Department of Revenue motor-vehicle crash data system, Electronic Accident Reporting System (EARS), to monitor non-fatal crashes involving driving under the influence (DUI) of marijuana. Methods: Centers for Disease Control and Pre...
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