One of the causes of MMR and AKB in Indonesia mostly occurs due to hypertension (25%). Prevention of preeclampsia is by screening pre-eclampsia in pregnant women at >20 weeks gestation. The role of cadres is very important in helping midwives to detect high-risk pregnant women. The purpose of the study was to determine the effectiveness of health education on the use of pre-eclampsia screening on cadre skills in detecting high-risk pregnant women in posyandu working areas of Tanta Health Center. This research method includes experimental research using pre-experimental designs type Pretes-Posttest Design. The population is posyandu cadres for pregnant women and toddlers in the Tanta Health Center work area as many as 80 people with sampling techniques with Quota Sampling as many as 40 respondents. The data analysis technique uses the Wilcoxon signed Rank test. The results showed that there was a difference between cadres' skills in detecting high-risk pregnant women before and after health education about the use of pre-eclampsia screening.

Hb examination on female catin is useful to determine the status of anemia so that it can be prevented and intervened before pregnancy. According to the 2021 report of the Tapin District Health Office, the incidence of anemia in Catin was 160 people (14.1%) from 1135 catin examined. Puskesmas Tapin Utara is one of the puskesmas in Tapin regency that has provided reproductive health services to catin with the second most catin targets in Tapin district. The purpose of the study was to determine the implementation of anemia screening in women at the North Tapin health center. Quantitative descriptive observational research method on catin characteristics of anemic women through the reproductive health register instrument of the North Tapin Health Center in 2021. The results of the study of 130 women screened at the North Tapin health center in 2021 were 23 adolescents (17.7%), 107 adults (82.3). Very Thin category 12 people (9.2%), Thin category 23 people (17.7%), Normal 71 people (54.6%), Obese 10 people (7.7%), and Obesity 14 people (10.8%). Anemia 23 people (17.7%) and those who are not anemic 107 people (82.3%).