WIP 102 - Drowning Prevention Education: Identifying Channels And Disparities. A Survey Of Parents In Dallas Childrens Emergency Department

Poster Number: WIP 102
Publication Number: WIP 102.2620

Background: Drowning rates vary by state in the US. Texas has one of the highest drowning rates. The greatest drowning risk was for Texans were males, ages 1-4 years old, and black children.

The American Academy of Pediatrics recommends that providers engage in age-appropriate health education and health promotion with patients and parents during well-child visits. Unfortunately, according to a National Ambulatory Medical Care Survey, less than 15% of the patients who presented with an injury related health problem, received any kind of health education or health counseling regarding the prevention of injuries from their healthcare provider.

Although patient education alone may not prevent and control subsequent injuries in pediatric populations, identifying where our patients receive most of their education may be an important first step in the process of injury prevention & help us target them better.

Objective: To describe if families of children younger than 12 years have received information on drowning prevention and where they received it from. To also describe any disparities existing among this population as regards home residence, race, and having a primary care provider.

Design/Methods: An IRB exempt approval was obtained. We created a REDCap survey of questions to be completed by parents/caregivers of children 12 years and younger. We piloted our survey among a small sample of family, friends and physicians to ensure face and content validity. English version of the survey was translated to Spanish by expert translators. English or Spanish speaking families who visit the CMC Children's Dallas Emergency Department (ED) and meet eligibility criteria will be approached to complete surveys via either an iPad or a QR code.

We have commenced survey distribution with a goal of collecting 300 completed surveys. Our data will be analyzed using Univariate analysis and Multivariate logistic regression models as well as descriptive statistics.

Our results will help us modify educational channels to better target drowning prevention education for our population.