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.
Introduction Indonesia has not optimally provided complete and reliable civil registration and vital statistics (CRVS). Death certification is one of the elements of the CRVS system. Reliable data on death rates and causes serve as the basis for building a strong evidence base for public health policy, planning, monitoring, and evaluation. This study aims to implement an approach to identifying the cause of death through verbal autopsy by empowering community health workers during the pandemic. Method This study is implementation research with the empowerment of the community, in this case, health cadres and health facilitators/workers, to identify the cause of death through a mobile-based verbal autopsy. This implementation research consisted of four main activities: community-based verbal autopsy, mobile-based verbal autopsy development, data collection, and analysis of the suspected causes of death using InterVA-5. Result From October to November 2020, a total of 143 respondents were willing to do a verbal autopsy interview (response rate of 58%). Of 143 respondents, most of them were women (112 or 78.3%), was the child of the deceased (61 or 42.7%) and lived with the deceased until before he/she died (120 or 83.9%). Based on the characteristics of the deceased, of 143 deceased, 78 (54.5%) were male, 134 (93.7%) were adults, 100 (69.9%) died at home, and 119 (83.2%) did not have a death certificate stating the cause of death. The cause of death of 143 deceased mainly was infectious disease (92 or 64.3%), followed by non-communicable disease (39 or 27.3%), external factors (5 or 3.5%), and unknown factors (4 or 2.8%). In sequence, the top five suspected causes of death are acute respiratory infection, including pneumonia (72 or 50.3%), other and unspecified infectious disease (18 or 12.6%), other and unspecified cardiac disease (17 or 11.9%), acute cardiac disease (4 or 2.8%), and Digestive neoplasms (4 or 2.8%). Conclusion The findings showed that the mobile-based verbal autopsy using a community-based mechanism was feasible during the COVID-19 pandemic.
Kesehatan ibu masih menjadi masalah kesehatan prioritas. Salah satu upaya yang sudah dilakukan pemerintah adalah melakukan pencatatan dan pelaporan kesehatan ibu menggunakan Pemantauan Wilayah Setempat Kesehatan Ibu dan Anak (PWS KIA). Namun ternyata ditemukan banyak permasalahan dalam pelaksanaannya, salah satunya karena PWS KIA masih menggunakan paper-based. Tujuan dari penelitian ini adalah untuk mengetahui manfaat penggunaan mHealth dalam pencatatan dan pelaporan kesehatan ibu. Metode yang digunakan adalah scoping review dari literatur yang diterbitkan lima tahun terakhir di pubmed dan google scholar yang membahas mengenai mHealth dalam pencatatan dan pelaporan kesehatan ibu. Hasil penelitian menunjukkan bahwa dari lima literatur yang terpilih, empat literatur menyebutkan manfaat mHealth pada data yang dihasilkan dan kualitas pelayanan, sedangkan satu literatur lainnya lebih berfokus pada manfaat mHealth pada kualitas pelayanan saja. Kesimpulannya adalah mHealth memiliki berbagai manfaat dalam pencatatan dan pelaporan kesehatan ibu. Oleh karena itu, diharapkan pengelola program kesehatan ibu dapat segera merancang dan menerapkan mHealth sebagai sistem pencatatan dan pelaporan kesehatan ibu supaya dapat mengatasi berbagai permasalahan yang ada saat ini.
Background The epidemiological transition from infectious to non-communicable disease (NCD) is characterized by an increasing incidence of cardiovascular disease (CVD). The Coronavirus Disease 2019 (COVID-19) pandemic has led to a significant decline in NCD screening and treatment activities in health centers. This study aims to revive and expand the coverage of NCD control programs, from the elderly to productive age groups, through the use of mHealth for the early detection of CVD, which is also provides health promotion media that is easily accessible. Methods This research is an operational study to develop a community-based early detection mechanism for CVD using mHealth during the COVID-19 pandemic in the Babakan Madang sub-district, Bogor district. Results The use of the mHealth application supported by community participation is proven to be able to reach the productive age population significantly (87.1%) in the Babakan Madang sub-district. The mHealth application simplifies CVD risk predictions so that it can be used by the public during the COVID-19 pandemic. Conclusion This application is also very well accepted by the community and is able to provide personalized health promotions.
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