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Long-term spill-over impact of COVID-19 on health and healthcare of people with non-communicable diseases: a study protocol for a population-based cohort and health economic study
INTRODUCTION: The COVID-19 pandemic has a significant spill-over effect on people with non-communicable diseases (NCDs) over the long term, beyond the direct effect of COVID-19 infection. Evaluating changes in health outcomes, health service use and costs can provide evidence to optimise care for pe...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385580/ https://www.ncbi.nlm.nih.gov/pubmed/35973704 http://dx.doi.org/10.1136/bmjopen-2022-063150 |
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author | Youn, Hin Moi Quan, Jianchao Mak, Ivy Lynn Yu, Esther Yee Tak Lau, Chak Sing Ip, Mary Sau Man Tang, Sydney Chi Wai Wong, Ian Chi Kei Lau, Kui Kai Lee, Michael Shing Fung Ng, Carmen S Grépin, Karen Ann Chao, David Vai Kiong Ko, Welchie Wai Kit Lam, Cindy Lo Kuen Wan, Eric Yuk Fai |
author_facet | Youn, Hin Moi Quan, Jianchao Mak, Ivy Lynn Yu, Esther Yee Tak Lau, Chak Sing Ip, Mary Sau Man Tang, Sydney Chi Wai Wong, Ian Chi Kei Lau, Kui Kai Lee, Michael Shing Fung Ng, Carmen S Grépin, Karen Ann Chao, David Vai Kiong Ko, Welchie Wai Kit Lam, Cindy Lo Kuen Wan, Eric Yuk Fai |
author_sort | Youn, Hin Moi |
collection | PubMed |
description | INTRODUCTION: The COVID-19 pandemic has a significant spill-over effect on people with non-communicable diseases (NCDs) over the long term, beyond the direct effect of COVID-19 infection. Evaluating changes in health outcomes, health service use and costs can provide evidence to optimise care for people with NCDs during and after the pandemic, and to better prepare outbreak responses in the future. METHODS AND ANALYSIS: This is a population-based cohort study using electronic health records of the Hong Kong Hospital Authority (HA) CMS, economic modelling and serial cross-sectional surveys on health service use. This study includes people aged ≥18 years who have a documented diagnosis of diabetes mellitus, hypertension, cardiovascular disease, cancer, chronic respiratory disease or chronic kidney disease with at least one attendance at the HA hospital or clinic between 1 January 2010 and 31 December 2019, and without COVID-19 infection. Changes in all-cause mortality, disease-specific outcomes, and health services use rates and costs will be assessed between pre-COVID-19 and-post-COVID-19 pandemic or during each wave using an interrupted time series analysis. The long-term health economic impact of healthcare disruptions during the COVID-19 pandemic will be studied using microsimulation modelling. Multivariable Cox proportional hazards regression and Poisson/negative binomial regression will be used to evaluate the effect of different modes of supplementary care on health outcomes. ETHICS AND DISSEMINATION: The study was approved by the institutional review board of the University of Hong Kong, the HA Hong Kong West Cluster (reference number UW 21–297). The study findings will be disseminated through peer-reviewed publications and international conferences. |
format | Online Article Text |
id | pubmed-9385580 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-93855802022-08-19 Long-term spill-over impact of COVID-19 on health and healthcare of people with non-communicable diseases: a study protocol for a population-based cohort and health economic study Youn, Hin Moi Quan, Jianchao Mak, Ivy Lynn Yu, Esther Yee Tak Lau, Chak Sing Ip, Mary Sau Man Tang, Sydney Chi Wai Wong, Ian Chi Kei Lau, Kui Kai Lee, Michael Shing Fung Ng, Carmen S Grépin, Karen Ann Chao, David Vai Kiong Ko, Welchie Wai Kit Lam, Cindy Lo Kuen Wan, Eric Yuk Fai BMJ Open Health Services Research INTRODUCTION: The COVID-19 pandemic has a significant spill-over effect on people with non-communicable diseases (NCDs) over the long term, beyond the direct effect of COVID-19 infection. Evaluating changes in health outcomes, health service use and costs can provide evidence to optimise care for people with NCDs during and after the pandemic, and to better prepare outbreak responses in the future. METHODS AND ANALYSIS: This is a population-based cohort study using electronic health records of the Hong Kong Hospital Authority (HA) CMS, economic modelling and serial cross-sectional surveys on health service use. This study includes people aged ≥18 years who have a documented diagnosis of diabetes mellitus, hypertension, cardiovascular disease, cancer, chronic respiratory disease or chronic kidney disease with at least one attendance at the HA hospital or clinic between 1 January 2010 and 31 December 2019, and without COVID-19 infection. Changes in all-cause mortality, disease-specific outcomes, and health services use rates and costs will be assessed between pre-COVID-19 and-post-COVID-19 pandemic or during each wave using an interrupted time series analysis. The long-term health economic impact of healthcare disruptions during the COVID-19 pandemic will be studied using microsimulation modelling. Multivariable Cox proportional hazards regression and Poisson/negative binomial regression will be used to evaluate the effect of different modes of supplementary care on health outcomes. ETHICS AND DISSEMINATION: The study was approved by the institutional review board of the University of Hong Kong, the HA Hong Kong West Cluster (reference number UW 21–297). The study findings will be disseminated through peer-reviewed publications and international conferences. BMJ Publishing Group 2022-08-16 /pmc/articles/PMC9385580/ /pubmed/35973704 http://dx.doi.org/10.1136/bmjopen-2022-063150 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Health Services Research Youn, Hin Moi Quan, Jianchao Mak, Ivy Lynn Yu, Esther Yee Tak Lau, Chak Sing Ip, Mary Sau Man Tang, Sydney Chi Wai Wong, Ian Chi Kei Lau, Kui Kai Lee, Michael Shing Fung Ng, Carmen S Grépin, Karen Ann Chao, David Vai Kiong Ko, Welchie Wai Kit Lam, Cindy Lo Kuen Wan, Eric Yuk Fai Long-term spill-over impact of COVID-19 on health and healthcare of people with non-communicable diseases: a study protocol for a population-based cohort and health economic study |
title | Long-term spill-over impact of COVID-19 on health and healthcare of people with non-communicable diseases: a study protocol for a population-based cohort and health economic study |
title_full | Long-term spill-over impact of COVID-19 on health and healthcare of people with non-communicable diseases: a study protocol for a population-based cohort and health economic study |
title_fullStr | Long-term spill-over impact of COVID-19 on health and healthcare of people with non-communicable diseases: a study protocol for a population-based cohort and health economic study |
title_full_unstemmed | Long-term spill-over impact of COVID-19 on health and healthcare of people with non-communicable diseases: a study protocol for a population-based cohort and health economic study |
title_short | Long-term spill-over impact of COVID-19 on health and healthcare of people with non-communicable diseases: a study protocol for a population-based cohort and health economic study |
title_sort | long-term spill-over impact of covid-19 on health and healthcare of people with non-communicable diseases: a study protocol for a population-based cohort and health economic study |
topic | Health Services Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385580/ https://www.ncbi.nlm.nih.gov/pubmed/35973704 http://dx.doi.org/10.1136/bmjopen-2022-063150 |
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