Predicting Enrollment in Multidisciplinary Clinical Care for Pediatric Weight Management

J Pediatr. 2018 Nov:202:129-135. doi: 10.1016/j.jpeds.2018.06.038. Epub 2018 Jul 17.

Abstract

Objectives: To characterize the children who were referred, determine the proportion of referred children who enrolled, and examine factors associated with enrollment in multidisciplinary clinical care for pediatric weight management.

Study design: This cross-sectional study included the population of children (2-17 years of age; body mass index of ≥85th percentile) referred to 1 of 3 hospital-based multidisciplinary weight management clinics in Alberta, Canada, from April 2013 to April 2016. Referral and enrollment data were obtained from Alberta Health Services databases. Bivariate and multivariable logistic regression models were used to determine the independent and combined effects of predictors of enrollment.

Results: Of the 2014 children (51.8% male; mean body mass index z-score: 3.42 ± 0.03) referred to multidisciplinary clinical care, 757 (37.6%) enrolled in care. Most referred children had severe obesity and were referred by physicians. Several factors independently predicted enrollment; however, in our most parsimonious multivariable model, only the time gap (OR, 0.94; 95% CI, 0.88-0.99; P = .03) between the attendance date of the orientation session and the booking date of initial appointment predicted enrollment for all children. Body mass index z-score (OR, 0.81; 95% CI, 0.67-0.98; P = .03) and time gap (OR, 0.92; 95% CI, 0.85-0.99; P = .02) predicted enrollment in children with severe obesity exclusively.

Conclusions: Fewer than 40% of referred children enrolled in multidisciplinary clinical care. Reducing the duration of enrollment and providing additional support for treatment initiation to children with severe obesity may enhance treatment uptake for pediatric weight management.

Keywords: children; cross-sectional; enrollment; obesity; weight management.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Alberta
  • Body Mass Index
  • Child
  • Child, Preschool
  • Cross-Sectional Studies
  • Female
  • Humans
  • Male
  • Patient Participation / statistics & numerical data*
  • Pediatric Obesity / therapy*
  • Referral and Consultation
  • Retrospective Studies
  • Weight Reduction Programs*

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