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Geospatial Analysis of Risk Factors Contributing to Loss to Follow-up in Cleft Lip/Palate Care
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 surgic...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6191231/ https://www.ncbi.nlm.nih.gov/pubmed/30349785 http://dx.doi.org/10.1097/GOX.0000000000001910 |
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author | Sharif-Askary, Banafsheh Bittar, Peter G. Farjat, Alfredo E. Liu, Beiyu Vissoci, Joao Ricardo Nickenig Allori, Alexander C. |
author_facet | Sharif-Askary, Banafsheh Bittar, Peter G. Farjat, Alfredo E. Liu, Beiyu Vissoci, Joao Ricardo Nickenig Allori, Alexander C. |
author_sort | Sharif-Askary, Banafsheh |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6191231 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-61912312018-10-22 Geospatial Analysis of Risk Factors Contributing to Loss to Follow-up in Cleft Lip/Palate Care Sharif-Askary, Banafsheh Bittar, Peter G. Farjat, Alfredo E. Liu, Beiyu Vissoci, Joao Ricardo Nickenig Allori, Alexander C. Plast Reconstr Surg Glob Open Original 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. Wolters Kluwer Health 2018-09-14 /pmc/articles/PMC6191231/ /pubmed/30349785 http://dx.doi.org/10.1097/GOX.0000000000001910 Text en Copyright © 2018 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The American Society of Plastic Surgeons. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Original Article Sharif-Askary, Banafsheh Bittar, Peter G. Farjat, Alfredo E. Liu, Beiyu Vissoci, Joao Ricardo Nickenig Allori, Alexander C. Geospatial Analysis of Risk Factors Contributing to Loss to Follow-up in Cleft Lip/Palate Care |
title | Geospatial Analysis of Risk Factors Contributing to Loss to Follow-up in Cleft Lip/Palate Care |
title_full | Geospatial Analysis of Risk Factors Contributing to Loss to Follow-up in Cleft Lip/Palate Care |
title_fullStr | Geospatial Analysis of Risk Factors Contributing to Loss to Follow-up in Cleft Lip/Palate Care |
title_full_unstemmed | Geospatial Analysis of Risk Factors Contributing to Loss to Follow-up in Cleft Lip/Palate Care |
title_short | Geospatial Analysis of Risk Factors Contributing to Loss to Follow-up in Cleft Lip/Palate Care |
title_sort | geospatial analysis of risk factors contributing to loss to follow-up in cleft lip/palate care |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6191231/ https://www.ncbi.nlm.nih.gov/pubmed/30349785 http://dx.doi.org/10.1097/GOX.0000000000001910 |
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