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Routine healthcare disruptions: a longitudinal study on changes in self-management behavior during the COVID-19 pandemic
BACKGROUND: The outbreak of COVID-19 had a significant impact on routines and continuity of professional care. As frequent users of this professional care, especially for people with chronic diseases this had consequences. Due to barriers in access to healthcare, an even greater appeal was made on t...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951824/ https://www.ncbi.nlm.nih.gov/pubmed/36829185 http://dx.doi.org/10.1186/s12913-023-09119-x |
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author | Menting, Juliane van Schelven, Femke Aussems, Claire Heijmans, Monique Boeije, Hennie |
author_facet | Menting, Juliane van Schelven, Femke Aussems, Claire Heijmans, Monique Boeije, Hennie |
author_sort | Menting, Juliane |
collection | PubMed |
description | BACKGROUND: The outbreak of COVID-19 had a significant impact on routines and continuity of professional care. As frequent users of this professional care, especially for people with chronic diseases this had consequences. Due to barriers in access to healthcare, an even greater appeal was made on the self-management behaviors of this group. In the present study, we aim to investigate the extent to which self-management changed during the recent pandemic, and which factors contributed to these changes. METHODS: The Dutch ‘National Panel of people with Chronic Illness or Disability’ was used to collect self-reported data of people with at least one chronic disease. Self-management was assessed with the Partners in Health questionnaire at two time points: before the crisis in 2018 and during the second wave of crisis in Autumn 2020. Paired t-tests were used to analyze changes in self-management. Potential associating factors on three levels – patient, organization and environment – were assessed in 2020 and their impact on self-management changes was tested with multinomial logistic regression. RESULTS: Data from 345 panel members was available at two time points. In the majority of people, self-management behaviors were stable (70.7%). About one in seven experienced improved self-management (15.1%), and a similar proportion experienced deteriorated self-management (14.2%). Sex, physical disability, mental health and daily stressors due to COVID-19 (patient level), changes in healthcare access (organization level), and social support (environment level) were significantly associated with experienced changes in self-management. CONCLUSIONS: People with chronic diseases experienced different trajectories of self-management changes during COVID-19. We need to be aware of people who seem to be more vulnerable to a healthcare crisis and report less stable self-management, such as those who experience mental health problems or daily stressors. Continuity of care and social support can buffer the impact of a healthcare crisis on self-management routines of people with chronic diseases. |
format | Online Article Text |
id | pubmed-9951824 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-99518242023-02-24 Routine healthcare disruptions: a longitudinal study on changes in self-management behavior during the COVID-19 pandemic Menting, Juliane van Schelven, Femke Aussems, Claire Heijmans, Monique Boeije, Hennie BMC Health Serv Res Research BACKGROUND: The outbreak of COVID-19 had a significant impact on routines and continuity of professional care. As frequent users of this professional care, especially for people with chronic diseases this had consequences. Due to barriers in access to healthcare, an even greater appeal was made on the self-management behaviors of this group. In the present study, we aim to investigate the extent to which self-management changed during the recent pandemic, and which factors contributed to these changes. METHODS: The Dutch ‘National Panel of people with Chronic Illness or Disability’ was used to collect self-reported data of people with at least one chronic disease. Self-management was assessed with the Partners in Health questionnaire at two time points: before the crisis in 2018 and during the second wave of crisis in Autumn 2020. Paired t-tests were used to analyze changes in self-management. Potential associating factors on three levels – patient, organization and environment – were assessed in 2020 and their impact on self-management changes was tested with multinomial logistic regression. RESULTS: Data from 345 panel members was available at two time points. In the majority of people, self-management behaviors were stable (70.7%). About one in seven experienced improved self-management (15.1%), and a similar proportion experienced deteriorated self-management (14.2%). Sex, physical disability, mental health and daily stressors due to COVID-19 (patient level), changes in healthcare access (organization level), and social support (environment level) were significantly associated with experienced changes in self-management. CONCLUSIONS: People with chronic diseases experienced different trajectories of self-management changes during COVID-19. We need to be aware of people who seem to be more vulnerable to a healthcare crisis and report less stable self-management, such as those who experience mental health problems or daily stressors. Continuity of care and social support can buffer the impact of a healthcare crisis on self-management routines of people with chronic diseases. BioMed Central 2023-02-24 /pmc/articles/PMC9951824/ /pubmed/36829185 http://dx.doi.org/10.1186/s12913-023-09119-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits 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/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Menting, Juliane van Schelven, Femke Aussems, Claire Heijmans, Monique Boeije, Hennie Routine healthcare disruptions: a longitudinal study on changes in self-management behavior during the COVID-19 pandemic |
title | Routine healthcare disruptions: a longitudinal study on changes in self-management behavior during the COVID-19 pandemic |
title_full | Routine healthcare disruptions: a longitudinal study on changes in self-management behavior during the COVID-19 pandemic |
title_fullStr | Routine healthcare disruptions: a longitudinal study on changes in self-management behavior during the COVID-19 pandemic |
title_full_unstemmed | Routine healthcare disruptions: a longitudinal study on changes in self-management behavior during the COVID-19 pandemic |
title_short | Routine healthcare disruptions: a longitudinal study on changes in self-management behavior during the COVID-19 pandemic |
title_sort | routine healthcare disruptions: a longitudinal study on changes in self-management behavior during the covid-19 pandemic |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951824/ https://www.ncbi.nlm.nih.gov/pubmed/36829185 http://dx.doi.org/10.1186/s12913-023-09119-x |
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