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Potentials of community-based early detection of cardiovascular disease risk during the COVID-19 pandemic
BACKGROUND: The Coronavirus Disease 2019 (COVID-19) pandemic has led to a significant decline in Non Communicable Diseases (NCD) screening and early detection activities, especially Cardiovascular Disease (CVD). This study aims to assess the potential of community-based self-screening of CVD risk th...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8254668/ https://www.ncbi.nlm.nih.gov/pubmed/34217235 http://dx.doi.org/10.1186/s12889-021-11384-6 |
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author | Siregar, Kemal Nazarudin Kurniawan, Rico BaharuddinNur, Ryza Jazid Nuridzin, Dion Zein Handayani, Yolanda Retnowati Rohjayanti Halim, Lindawati |
author_facet | Siregar, Kemal Nazarudin Kurniawan, Rico BaharuddinNur, Ryza Jazid Nuridzin, Dion Zein Handayani, Yolanda Retnowati Rohjayanti Halim, Lindawati |
author_sort | Siregar, Kemal Nazarudin |
collection | PubMed |
description | BACKGROUND: The Coronavirus Disease 2019 (COVID-19) pandemic has led to a significant decline in Non Communicable Diseases (NCD) screening and early detection activities, especially Cardiovascular Disease (CVD). This study aims to assess the potential of community-based self-screening of CVD risk through the mhealth application. METHODS: This is operational research by actively involving the community to carry out self-screening through the mHealth application. Community health workers were recruited as facilitators who encourage the community to carry out self-screening. To evaluate the potential of community-based self-screening of CVD risk, we use several indicators: responses rate, level of CVD risk, and community acceptance. RESULTS: Of the 846 individuals reached by the cadres, 53% or 442 individuals carried out self-screening. Based on the results of self-screening of CVD risk, it is known that around 21.3% are at high risk of developing CVD in the next 10 years. The results of the evaluation of semi-structured questions showed that about 48% of the people had positive impressions, 22% assessed that this self-screening could increase awareness and was informative, 3% suggested improvements to self-screening tools. CONCLUSION: Cadres play an important role in reaching and facilitating the community in their environment to remain aware of their health conditions by conducting self-screening of CVD risk. The availability of the mHealth application that the public can easily access can simplify CVD risk prediction and expand screening coverage, especially during the COVID-19 pandemic, where there are social restrictions policies and community activities. |
format | Online Article Text |
id | pubmed-8254668 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82546682021-07-06 Potentials of community-based early detection of cardiovascular disease risk during the COVID-19 pandemic Siregar, Kemal Nazarudin Kurniawan, Rico BaharuddinNur, Ryza Jazid Nuridzin, Dion Zein Handayani, Yolanda Retnowati Rohjayanti Halim, Lindawati BMC Public Health Research BACKGROUND: The Coronavirus Disease 2019 (COVID-19) pandemic has led to a significant decline in Non Communicable Diseases (NCD) screening and early detection activities, especially Cardiovascular Disease (CVD). This study aims to assess the potential of community-based self-screening of CVD risk through the mhealth application. METHODS: This is operational research by actively involving the community to carry out self-screening through the mHealth application. Community health workers were recruited as facilitators who encourage the community to carry out self-screening. To evaluate the potential of community-based self-screening of CVD risk, we use several indicators: responses rate, level of CVD risk, and community acceptance. RESULTS: Of the 846 individuals reached by the cadres, 53% or 442 individuals carried out self-screening. Based on the results of self-screening of CVD risk, it is known that around 21.3% are at high risk of developing CVD in the next 10 years. The results of the evaluation of semi-structured questions showed that about 48% of the people had positive impressions, 22% assessed that this self-screening could increase awareness and was informative, 3% suggested improvements to self-screening tools. CONCLUSION: Cadres play an important role in reaching and facilitating the community in their environment to remain aware of their health conditions by conducting self-screening of CVD risk. The availability of the mHealth application that the public can easily access can simplify CVD risk prediction and expand screening coverage, especially during the COVID-19 pandemic, where there are social restrictions policies and community activities. BioMed Central 2021-07-04 /pmc/articles/PMC8254668/ /pubmed/34217235 http://dx.doi.org/10.1186/s12889-021-11384-6 Text en © The Author(s) 2021 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 Siregar, Kemal Nazarudin Kurniawan, Rico BaharuddinNur, Ryza Jazid Nuridzin, Dion Zein Handayani, Yolanda Retnowati Rohjayanti Halim, Lindawati Potentials of community-based early detection of cardiovascular disease risk during the COVID-19 pandemic |
title | Potentials of community-based early detection of cardiovascular disease risk during the COVID-19 pandemic |
title_full | Potentials of community-based early detection of cardiovascular disease risk during the COVID-19 pandemic |
title_fullStr | Potentials of community-based early detection of cardiovascular disease risk during the COVID-19 pandemic |
title_full_unstemmed | Potentials of community-based early detection of cardiovascular disease risk during the COVID-19 pandemic |
title_short | Potentials of community-based early detection of cardiovascular disease risk during the COVID-19 pandemic |
title_sort | potentials of community-based early detection of cardiovascular disease risk during the covid-19 pandemic |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8254668/ https://www.ncbi.nlm.nih.gov/pubmed/34217235 http://dx.doi.org/10.1186/s12889-021-11384-6 |
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