Geospatial Analysis of Risk Factors Contributing to Loss to Follow-up in Cleft Lip/Palate Care.

Published online

Journal Article

Background: Multidisciplinary cleft care depends on follow-up at specified time points to monitor and address functional or aesthetic concerns that may arise during a child's development. However, loss to follow-up (LTFU) is common and can lead to missed opportunities for therapeutic and surgical intervention. This study explores clinical, demographic, and geographic determinants of LTFU in cleft care. Methods: Medical records were retrospectively evaluated for 558 pediatric patients of a single mid-volume cleft team. The primary outcome was LTFU. Spatial dependency was evaluated using variograms. The probability of LTFU was assessed using a generalized linear geostatistical model within a Bayesian framework. Risk maps were plotted to identify vulnerable communities within our state at higher risk of LTFU. Results: Younger age at last encounter was a strong predictor of LTFU (P < 0.0001), even when ignoring spatial dependency among observations. When accounting for spatial dependency, lower socioeconomic status [OR = 0.98; 95% CI = (0.97-0.99)] and cleft phenotype [OR = 0.55; 95% CI = (0.36, 0.81)] were significant predictors of LTFU. Distance from the cleft team and rural/urban designation were not statistically significant predictors. Cartographic representation of predicted probability of LTFU revealed vulnerable communities across our state, including in the immediate vicinity of our cleft center. Conclusions: Geostatistical methods are able to identify risk factors missed by traditional statistical analysis. Knowledge of vulnerable populations allow a cleft team to allocate more resources toward high-risk areas to rectify or prevent deficiencies in care.

Full Text

Duke Authors

Cited Authors

  • Sharif-Askary, B; Bittar, PG; Farjat, AE; Liu, B; Vissoci, JRN; Allori, AC

Published Date

  • September 2018

Published In

Volume / Issue

  • 6 / 9

Start / End Page

  • e1910 -

PubMed ID

  • 30349785

Pubmed Central ID

  • 30349785

International Standard Serial Number (ISSN)

  • 2169-7574

Digital Object Identifier (DOI)

  • 10.1097/GOX.0000000000001910

Language

  • eng

Conference Location

  • United States