Investigation of the effectiveness of psychiatric interventions on the mental health of pregnant women in Kashan City - Iran: A clinical trial study.

AIM

Pregnancy is one of the most sensitive periods in a person's life; therefore maternal mental illness during pregnancy increases the risk for adverse developmental outcomes in children (Jha et al., 2018). The aim of this study was to determine the effectiveness of psychiatric interventions in the mental health of pregnant women in Kashan, Iran.

METHODS

The purpose of this clinical trial was to evaluate an integrated model of mental health during pregnancy over the period of 2015-2018 in Kashan. Subjects consisted in 202 pregnant women (101 in the intervention group and 101 in the control group) who were referred to Kashan Health Centers in the 6th to 10th weeks of pregnancy. The General Health Questionnaire-28, Golombok Rust Inventory of Marital State, an interview on psychiatric symptoms, and a review of the history of the mental health of the mother and first-degree relatives were utilized for data collection. In the intervention group, psychiatric measures and predictive drug treatments were presented.

RESULTS

Overall, from among 102 pregnant mothers, 39 women (37.14%) were identified as at-risk and high-risk. The highest number of mothers identified as at-risk and high-risk were in the first trimester of pregnancy and in the 6th to 10th weeks of care (64%). With the start of psychiatric interventions in the intervention group, the subscale of physical complaints and anxiety showed a significant decrease compared to the control group (P < 0.01). Mental health improvement was achieved in 95% of expectant mothers through Level I predictive measures, and only 5% of participants required the specialist level of intervention.

CONCLUSION

By identifying psychiatric disorders in pregnant mothers during the first level of pregnancy care services and taking suitable measures, an integrated model for mental health services in primary health care for pregnant women can help managers, policymakers, and decision-makers to improve health and reduce the costs in the health system in order to achieve the Sustainable Development Goals.