Improving Hispanic childhood obesity using an algorithm-based quality initiative in pediatric primary care
Abstract
Child obesity is increasing and is considered one of the most serious health concerns of the 21st
century. Hispanic children represent the largest group of obese children in the U.S. when
compared to other ethnic groups. Health care providers (HCPs) have been recognized as key
players in the prevention and treatment of child obesity, yet many studies indicate clinical
practice guidelines are not always followed. The purpose of this quality initiative was to improve
HCP management, and counseling of overweight and obese Hispanic children between the ages
of 6-16 years, by providing an educational session and management tools to pediatric providers
in a South Texas clinic. HCPs attended a 30-minute educational session, guided by the American
Academy of Pediatrics’ algorithm for childhood obesity management; and the 5210 Healthy
Habits Questionnaire was used to assist providers with assessment and counseling of patients and
parents. Provider practice changes were compared to the same timeframe a year earlier via chart
review. The sample of charts reviewed included 193 children, 51% male, 41% overweight or
obese in 2019 and 135 children, 41% male, 47% overweight or obese in 2020; at least 96%
identified as Latino/Hispanic and mean age was 10.4 years in both groups. Provider
documentation of healthy activities assessment improved 17-25%, healthy habit counseling 12-
21.5%, and referrals to dietitian 6%, post-intervention. Results were promising and trending
toward positive practice changes, however greater improvement in HCP practices and patient
outcomes may have been realized if the timeline of the project had not been interrupted by
competing healthcare priorities due to the COVID-19 pandemic. Providing algorithm-based
education and resources for primary care providers in a pediatric clinic can improve practice and
has the potential to impact outcomes for overweight and obese Hispanic children.
Rights
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