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The Potential Role of Digital Health in Obesity Care
Obesity is a complex, multi-factorial, chronic condition which increases the risk of a wide range of diseases including type 2 diabetes mellitus, cardiovascular disease and certain cancers. The prevalence of obesity continues to rise and this places a huge economic burden on the healthcare system. E...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Healthcare
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362065/ https://www.ncbi.nlm.nih.gov/pubmed/35925469 http://dx.doi.org/10.1007/s12325-022-02265-4 |
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author | Hinchliffe, Nigel Capehorn, Matthew S. Bewick, Michael Feenie, John |
author_facet | Hinchliffe, Nigel Capehorn, Matthew S. Bewick, Michael Feenie, John |
author_sort | Hinchliffe, Nigel |
collection | PubMed |
description | Obesity is a complex, multi-factorial, chronic condition which increases the risk of a wide range of diseases including type 2 diabetes mellitus, cardiovascular disease and certain cancers. The prevalence of obesity continues to rise and this places a huge economic burden on the healthcare system. Existing approaches to obesity treatment tend to focus on individual responsibility and diet and exercise, failing to recognise the complexity of the condition and the need for a whole-system approach. A new approach is needed that recognises the complexity of obesity and provides patient-centred, multidisciplinary care which more closely meets the needs of each individual with obesity. This review will discuss the role that digital health could play in this new approach and the challenges of ensuring equitable access to digital health for obesity care. Existing technologies, such as telehealth and mobile health apps and wearable devices, offer emerging opportunities to improve access to obesity care and enhance the quality, efficiency and cost-effectiveness of weight management interventions and long-term patient support. Future application of machine learning and artificial intelligence to obesity care could see interventions become increasingly automated and personalised. |
format | Online Article Text |
id | pubmed-9362065 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Healthcare |
record_format | MEDLINE/PubMed |
spelling | pubmed-93620652022-08-10 The Potential Role of Digital Health in Obesity Care Hinchliffe, Nigel Capehorn, Matthew S. Bewick, Michael Feenie, John Adv Ther Review Obesity is a complex, multi-factorial, chronic condition which increases the risk of a wide range of diseases including type 2 diabetes mellitus, cardiovascular disease and certain cancers. The prevalence of obesity continues to rise and this places a huge economic burden on the healthcare system. Existing approaches to obesity treatment tend to focus on individual responsibility and diet and exercise, failing to recognise the complexity of the condition and the need for a whole-system approach. A new approach is needed that recognises the complexity of obesity and provides patient-centred, multidisciplinary care which more closely meets the needs of each individual with obesity. This review will discuss the role that digital health could play in this new approach and the challenges of ensuring equitable access to digital health for obesity care. Existing technologies, such as telehealth and mobile health apps and wearable devices, offer emerging opportunities to improve access to obesity care and enhance the quality, efficiency and cost-effectiveness of weight management interventions and long-term patient support. Future application of machine learning and artificial intelligence to obesity care could see interventions become increasingly automated and personalised. Springer Healthcare 2022-08-04 2022 /pmc/articles/PMC9362065/ /pubmed/35925469 http://dx.doi.org/10.1007/s12325-022-02265-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Review Hinchliffe, Nigel Capehorn, Matthew S. Bewick, Michael Feenie, John The Potential Role of Digital Health in Obesity Care |
title | The Potential Role of Digital Health in Obesity Care |
title_full | The Potential Role of Digital Health in Obesity Care |
title_fullStr | The Potential Role of Digital Health in Obesity Care |
title_full_unstemmed | The Potential Role of Digital Health in Obesity Care |
title_short | The Potential Role of Digital Health in Obesity Care |
title_sort | potential role of digital health in obesity care |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362065/ https://www.ncbi.nlm.nih.gov/pubmed/35925469 http://dx.doi.org/10.1007/s12325-022-02265-4 |
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