Mental Burden in Data Management for Detection of Pregnant Women at Risk of Preeclampsia

Cahya Tri Purnami1), Suharyo Hadisaputro2),  Lutfan Lazuardi3),

Syarief Thaufik H4), Farid Agushybana 5)


1) Doctoral Program of Medicine and Health Sciences, Faculty of Medicine, Universitas Diponegoro

2) School of Health Polytechnics, Ministry of Health Semarang

3) Department of Health Policy and Management, Faculty of Medicine, Universitas Gadjah Mada

4) Department of Midwifery, Faculty of Medicine, Universitas Diponegoro

5) Faculty of Public Health, Universitas Diponegoro



Background: Preeclampsia (PE) is a leading cause of maternal mortality, responsible annually for over 60,000 maternal deaths around the world. PE early detection is es­sential to start a pre­ven­tive therapy. However, PE detection through recording and re­por­ting can be mentally demanding for midwives. This study aimed to examine mental burden in data management for detec­tion of pregnant women at risk of pre­eclampsia.

Subjects and Method: This study was a cross-sectional study conducted at 2 com­munity health centres  (Grobogan and Semarang) in Central Java. A total sample of 110 midwives was selec­ted for this study. The dependent variable was mental burden. The inde­­pendent data were demographic characteristics, ability in data management, per­cep­tion of leadership reprimand, perceived threat, perceptions of abilities, and percep­tions of the demands of work assignments. The data were collected by questionnaire and analyzed using descriptive and bivariate analysis.

Results: A total of 93.6% midwives had training in data management. 96.4% had ≥5 years ex­perience in pregnancy examination. 98% midwives were Diploma III of Mid­wife. Mental burden score was around 11 to 23 (Mean= 18.06; SD= 2.06). The ability in mana­ging data was inversely related to mental burden (OR= 0.23; p= 0.025). The percep­tion of the leadership’s reprimand (p= 0.721), perceived threat (p= 0.069), and the demands of work assignments (p= 0.221) were not significantly related to mental bur­den among midwife.

Conclusion: The ability in managing data is inversely to mental burden among mid­wives.

Keywords:  data management, mental burden, midwife, preeclampsia

Correspondence: Cahya Tri Purnami. Doctoral Program of Medicine and Health Sciences, Faculty of Medicine, Universitas Diponegoro, Semarang. Email: Mobile: 08122830445.



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