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Stay in treatment: Predicting dropout from pediatric weight management study protocol

INTRODUCTION: Childhood obesity is a serious public health concern. Multidisciplinary pediatric weight management programs have been deemed effective. However, effectiveness of these programs is impacted by attrition, limiting health benefits to children, and inefficiently utilizing scarce resources...

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Autores principales: Berry, Diane C., Rhodes, Erinn T., Hampl, Sarah, Young, Caroline Blackwell, Cohen, Gail, Eneli, Ihuoma, Fleischman, Amy, Ip, Edward, Sweeney, Brooke, Houle, Timothy T., Skelton, Joseph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8209185/
https://www.ncbi.nlm.nih.gov/pubmed/34169176
http://dx.doi.org/10.1016/j.conctc.2021.100799
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author Berry, Diane C.
Rhodes, Erinn T.
Hampl, Sarah
Young, Caroline Blackwell
Cohen, Gail
Eneli, Ihuoma
Fleischman, Amy
Ip, Edward
Sweeney, Brooke
Houle, Timothy T.
Skelton, Joseph
author_facet Berry, Diane C.
Rhodes, Erinn T.
Hampl, Sarah
Young, Caroline Blackwell
Cohen, Gail
Eneli, Ihuoma
Fleischman, Amy
Ip, Edward
Sweeney, Brooke
Houle, Timothy T.
Skelton, Joseph
author_sort Berry, Diane C.
collection PubMed
description INTRODUCTION: Childhood obesity is a serious public health concern. Multidisciplinary pediatric weight management programs have been deemed effective. However, effectiveness of these programs is impacted by attrition, limiting health benefits to children, and inefficiently utilizing scarce resources. METHODS: We have developed a model (the Outcomes Forecasting System, OFS) that isolates variables associated with attrition from pediatric weight management, with the potential to forecast participant dropout. In Aim 1, we will increase the power and precision of the OFS and then validate the model through the consistent acquisition of key patient, family, and treatment data, from three different weight management sites. In Aim 2, external validity will be established through the application of the OFS at a fourth pediatric weight management program. Aim 3 will be a pilot clinical trial, incorporating an intervention built on the results of Aims 1 and 2 and utilizing the OFS to reduce attrition. DISCUSSION: A greater understanding of the patient, family, and disease-specific factors that predict dropout from pediatric weight management can be utilized to prevent attrition. The goal of the current study is to refine the OFS to a level of precision and efficiency to be a valuable tool to any weight management program. By identifying the most pertinent factors driving attrition across weight management sites, new avenues for treatment will be identified. This study will result in a valuable forecasting tool that will be applicable for diverse programs and populations, decrease program costs, and improve patient retention, adherence, and outcomes. CLINICALTRIALS.GOV IDENTIFIER: NCT04364282.
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spelling pubmed-82091852021-06-23 Stay in treatment: Predicting dropout from pediatric weight management study protocol Berry, Diane C. Rhodes, Erinn T. Hampl, Sarah Young, Caroline Blackwell Cohen, Gail Eneli, Ihuoma Fleischman, Amy Ip, Edward Sweeney, Brooke Houle, Timothy T. Skelton, Joseph Contemp Clin Trials Commun Article INTRODUCTION: Childhood obesity is a serious public health concern. Multidisciplinary pediatric weight management programs have been deemed effective. However, effectiveness of these programs is impacted by attrition, limiting health benefits to children, and inefficiently utilizing scarce resources. METHODS: We have developed a model (the Outcomes Forecasting System, OFS) that isolates variables associated with attrition from pediatric weight management, with the potential to forecast participant dropout. In Aim 1, we will increase the power and precision of the OFS and then validate the model through the consistent acquisition of key patient, family, and treatment data, from three different weight management sites. In Aim 2, external validity will be established through the application of the OFS at a fourth pediatric weight management program. Aim 3 will be a pilot clinical trial, incorporating an intervention built on the results of Aims 1 and 2 and utilizing the OFS to reduce attrition. DISCUSSION: A greater understanding of the patient, family, and disease-specific factors that predict dropout from pediatric weight management can be utilized to prevent attrition. The goal of the current study is to refine the OFS to a level of precision and efficiency to be a valuable tool to any weight management program. By identifying the most pertinent factors driving attrition across weight management sites, new avenues for treatment will be identified. This study will result in a valuable forecasting tool that will be applicable for diverse programs and populations, decrease program costs, and improve patient retention, adherence, and outcomes. CLINICALTRIALS.GOV IDENTIFIER: NCT04364282. Elsevier 2021-06-09 /pmc/articles/PMC8209185/ /pubmed/34169176 http://dx.doi.org/10.1016/j.conctc.2021.100799 Text en © 2021 Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Berry, Diane C.
Rhodes, Erinn T.
Hampl, Sarah
Young, Caroline Blackwell
Cohen, Gail
Eneli, Ihuoma
Fleischman, Amy
Ip, Edward
Sweeney, Brooke
Houle, Timothy T.
Skelton, Joseph
Stay in treatment: Predicting dropout from pediatric weight management study protocol
title Stay in treatment: Predicting dropout from pediatric weight management study protocol
title_full Stay in treatment: Predicting dropout from pediatric weight management study protocol
title_fullStr Stay in treatment: Predicting dropout from pediatric weight management study protocol
title_full_unstemmed Stay in treatment: Predicting dropout from pediatric weight management study protocol
title_short Stay in treatment: Predicting dropout from pediatric weight management study protocol
title_sort stay in treatment: predicting dropout from pediatric weight management study protocol
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8209185/
https://www.ncbi.nlm.nih.gov/pubmed/34169176
http://dx.doi.org/10.1016/j.conctc.2021.100799
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