Threats and Challenges to Childhood Health II

Reviews
Shared by: sammyc2007
Categories
Stats
views:
40
rating:
not rated
reviews:
0
posted:
4/11/2008
language:
pages:
0
Injury and Trauma Stephen M. Bowman, PhD, MHA University of Arkansas for Medical Sciences Injury Impact • Leading cause of death for age 1-44 • About ¼ of all years of potential life lost before age 75 are due to injury (U.S. 2004) • Lifetime medical costs for children 0-14 who were injured in 2000 are estimated to be nearly $12 billion (Finkelstein, 2006). • But…injury research funding from NIH ranks 67th! Injury as Leading Cause of Death (Ages 0 to 19, 2004, U.S.) 12000 10000 8000 6000 4000 2000 0 Deaths 0- 4 o 5t 9 0t 1 14 o 5t 1 Suicide 19 o Unintentional Homicide 16,807 deaths in 2004 Source: CDC WISQARS Injury as Leading Cause of Death (Ages 0 to 19, 2004) 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% % of All Deaths <1 to 1 4 to 5 9 1 14 o 0t Suicide 5t 1 19 o Unintentional Homicide 16,807 deaths in 2004 Source: CDC WISQARS Injury Deaths – All Cause (Ages 0 to 19) 60 55 50 45 40 35 30 25 20 15 10 5 0 198 1 198 2 198 3 198 4 198 5 198 6 198 7 198 8 198 9 199 0 199 1 199 2 199 3 199 4 199 5 199 6 199 7 199 8 199 9 200 0 200 1 200 2 Rate per 100,000 Year White Black Native American Asian/PI Source: CDC WISQARS 200 3 200 4 All Homicide (15-19 year olds) 60 50 40 30 20 10 0 1996 1997 1998 1999 2000 Year White Black Native American Asian/PI Source: CDC WISQARS Rate per 100,000 2001 2002 2003 2004 All Suicide (15-19 year olds) 25 Rate per 100,000 20 15 10 5 0 1996 1997 1998 1999 2000 Year White Black Native American Asian/PI Source: CDC WISQARS 2001 2002 2003 2004 All Motor Vehicle Traffic Deaths (ages 15 to 19) 40 35 30 25 20 15 10 5 0 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 Year Males Females Source: CDC WISQARS Rate per 100,000 Motorcycle Injury Deaths 3 Rate per 100,000 2.5 2 1.5 1 0.5 0 1999 2000 2001 Year U.S. Deaths 15-19 yo deaths Source: CDC WISQARS 2002 2003 2004 ATV Injury Trends Consumer Product Safety Commission, 2004 Trauma Systems • Meta-analysis and systematic review reports 15% reduction in mortality (Celso, 2006). • Wide variability by state – – 15 states have no formal system. – Success of implementation variable • In states with formal systems, the number of trauma center varies from 0.37 to 42.04 per million population (MacKenzie, 2003). Timely Access to a Level I or II Trauma Center (<45 minute response by ground or air, source: American Trauma Society) Pediatric mortality by ISS and year (Washington State, Age<15) 25% Mortality (%) 20% 15% 10% 5% 0% 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 Year 0-8 9 to 15 16-75 Pediatric Spleen Management Clinical Decision-Making in Blunt Spleen Injury mortality blood loss multiple injuries delayed rupture pseudoaneurysm infection OPSI transfusions LOS economics Splenectomy NOM The Washington State Experience: Pediatric Blunt Spleen Injury Substantial variability in management lead to the development of a state-wide action plan: • Data to trauma providers • Educate trauma providers on the guidelines and ‘Liver/Spleen Injury in Children Algorithm’ • Target specific care providers for follow-up Impact of a Statewide Quality Improvement Initiative in Improving the Management of Pediatric Splenic Injuries in Washington State Stephen M. Bowman, PhD, Sam R. Sharar, MD, Linda Quan, MD University of Arkansas for Medical Sciences and University of Washington Accepted for publication – Journal of Trauma Objectives • To evaluate the effect of a statewide quality improvement initiative on splenectomy rates in children. • To examine splenectomy rates before and after implementation of the quality improvement initiative. • To examine the likelihood of children with splenic injuries receiving care at pediatric trauma hospitals before and after the initiative, compared to general trauma hospitals located in both urban and rural settings. Methods • Design: Retrospective cohort study using Washington Trauma Registry for years 1999-2001 (pre-intervention) and 2003-2005 (post-intervention). • Inclusion criteria: Children ages 0-14 years who were hospitalized with a traumatic (non-iatrogenic) splenic injury. • Dependent variable: Splenectomy • Independent variable: Pediatric trauma designation • Control and confounding variables: Patient and injury characteristics • Analysis: Multivariable logistic regression, clustering on hospital identifier Results Splenectomies were more common in the preintervention period compared to the postintervention period (13.6% vs. 7.8%, p=.027). Spleen Injury Management by Hospital Type and Intervention Period (Washington State Trauma Registry) Factors associated with splenectomy in children 0-14 years, excluding pediatric designation Risk Factor Adjusted Logistic Regression† OR (95% CI) P Value__ Accepted for publication – Journal of Trauma Factors associated with splenectomy in children 0-14 years, including pediatric designation Risk Factor Adjusted Logistic Regression† OR (95% CI) P Value Accepted for publication – Journal of Trauma Factors associated with the likelihood of receiving definitive care at pediatric designated hospitals Risk Factor Adjusted Logistic Regression† OR (95% CI) P Value Accepted for publication – Journal of Trauma Thanks! bowmanstephenm@uams.edu (501) 364-3357

Related docs
premium docs
Other docs by sammyc2007