Siregar K.N., Kurniawan R., BaharuddinNur R.J., Nuridzin D.Z., Handayani Y., Retnowati, Rohjayanti, Halim L.
Department of Biostatistics and Population Studies, Faculty of Public Health, Universitas Indonesia, Depok, Indonesia; Health Informatics Research Cluster, Faculty of Public Health, Universitas Indonesia, Depok, Indonesia; Research Center of Biostatistics and Health Informatics, Faculty of Public Health, Universitas Indonesia, Depok, Indonesia; Head of Section of NCD Control Program, District Health Office, Bogor District, Indonesia; Coordinator of Health Centers, Babakan Madang Sub-district, Bogor District, Indonesia
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. © 2021, The Author(s).
Cardiovascular disease; Community-based; COVID-19; Early detection; Mhealth
BMC Public Health
Publisher: BioMed Central Ltd
Volume 21, Issue 1, Art No 1308, Page – , Page Count
Journal Link: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85110791693&doi=10.1186%2fs12889-021-11384-6&partnerID=40&md5=7ace2c9456ffe6fe460b0266babc32ba
Type: All Open Access, Gold, Green
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