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Data of good quality on Minimum Service Standard of Maternal and Child Health (MSS MCH) is required to be utilized as a basis for planning. One of the data assessment models that has been developed is the Routine Data Quality Assessment (RDQA) model, which is an adaptation of the WHO model adopted by Pusdatin. No research has been conducted in Depok City until recently. Therefore, this study aimed to assess SPM data on maternal health, specifically indicators such as the K4 and Linakes, in Depok City. The assessment was conducted by considering the indicators of completeness, timeliness, internal consistency, external consistency, and accuracy as well as the organizational factors that influence them. The results showed that data completeness in Depok City was good, timeliness could not be optimally analyzed, internal consistency was relatively good although there was some inconsistent data in some puskesmas, external consistency was good, and lastly, inaccuracy was found in one of the health centers in Depok City.. In addition, this study also found organizational issues surrounding data collection that could potentially affect data quality.
In the last 2019, COVID-19 as New Emerging Disease causing a pandemic rapidly.The numbers of health care workers infected COVID-19 worldwide until 8 th April 2020 in 52 countries were 22.073. 2 nd March 2020, Depok city report the first case confirmed COVID-19 also the first case in Indonesia. Limited research about risk of healthcare worker infected COVID-19 and some of the research only examine in healthcare worker group became this research base to assess the association of healthcare worker and confirmed case in Depok City. A crossectional study has been done using secondary data obtained from Epidemiological Investigation Form from MOH Guidelines in Health District Office in Depok. This study using data obtained inMarch- June 2020 involving 925 respondents.The results show that status of healthcare worker cannot stand alone in the association with confirmed case COVID-19. Noted combinationbetween history of contact with suspect COVID-19 and visiting health care facility among respondentas health care worker elevated risk 2,13 times become confirmation cases of COVID-19 (95% CI 1,33-3,41) also significantly related to confirmation case of COVID-19 in Depok City (p= 0,002)
There have been millions of cases and hundreds of thousands of death caused by COVID-19. Depok City was the first city in Indonesia where COVID-19 cases were found. Depok City later became a vital city in the transmission of COVID-19 cases in Indonesia. The utilization of spatial analysis and analysis of epidemiological patterns are effective methods for understanding and controlling infectious diseases. This analysis included: the analysis of WHO epidemiological criteria, SNA analysis (Social Network Analysis), spatial analysis (Moran Index and LISA), and analysis of Effective Reproduction (Rt). The aim was to encourage appropriate policies and anticipate the spread of cases and mortality. This research was an analytical study using a cross-sectional design and ecological study, based on integrated surveillance data from Depok City, Picodep, from March 2020 to June 2021. A total of 19,314 patients in 2020, meanwhile a total of 39,706 were reached in 2021. That total was used for spatial analysis and the SNA analysis, we examined surveillance data from the data above, 3,118 patients were for 2020, while 3,405 patients were obtained in 2021. The population in this study was all of the positive COVID-19 patients from Picodep, in Depok City between March 2020 to June 2021. All of WHO epidemiological criteria in Depok City in mid-2020 and throughout 2021, indicated a very high incidence (CT-4). The Rt estimation for 2020, where almost the majority is above 1 with an average above 1, meant the pandemic was uncontrolled. There was the autocorrelation in 2020, which was 0.215 and then decreased to 0.196 in 2021. The average degree of cases in Depok City was 0.703 and 0.693, while from the cluster distribution, it was possible that the majority of one case, could infect one healthy person. The Epidemiological criteria (incidence, mortality, and hospitalization) besides the positivity rate in 2020 and 2021, had significant differences. The average Rt in 2020 and 2021 had a significant difference. The average degree in 2020 and 2021 had not a significant difference.
Community involvement is one of the important keys to handling public health problems, especially during a pandemic. The magnitude of the efforts made by the government needs to be balanced with the active participation of the community in the crisis response to the handling of the COVID-19 pandemic so that it can be handled quickly. Good practice in several countries with high public awareness to be actively involved in supporting the handling of COVID-19, the success rate in overcoming the impact of COVID-19 is quite high when compared to countries with citizens who are quite passive or even do not want to be involved at all (apathetic). The government has limitations, namely not being able to reach all components of people's lives. Thus, community involvement and participation will facilitate the government's task in carrying out the policies that have been made. The design of this study was quantitative with a cross sectional method to assess the correlation between the performance of Community-Based Surveillance (SBM) cadres and independent variables conducted at 11 Puskesmas in Depok City. In order to enrich the results of the discussion and implementation of the role of relevant agencies, the researcher added information sourced from in-depth interviews with key informants. The results showed that variables related to the early detection and reporting of COVID 19 by cadres, including marital status (p value = 0.0001), length of time being a cadre (p value = 0.038), training status (p value = 0.002), and professional behavior p value = 0.033). In addition, the most dominant factors influencing the performance of cadres in the early detection and reporting of COVID-19 is marital status after being controlled by other variables. The confounding variable in this study is the length of time being a cadre. Marital status had an OR of 15.34, meaning that marital status increased 15 times the performance of cadres in early detection and reporting of COVID-19 (95%CI=1.9-118.8) after being controlled by other variables with a p-value of 0.009. Furthermore, community-based surveillance training increased cadres' performance 3 times in early detection and reporting of COVID-19 (95%CI=1.3-5.05). However, when viewed from the p value, the training status gets the smallest number, namely 0.006, so it can be said that training is the most influential variable on the performance of SBM cadres in finding and reporting COVID-19 cases in Depok City.
