Clustering-based approach for categorizing pregnant women in obstetrics and maternity care

When a pregnant woman is guided to a hospital for obstetrics purposes, many outcomes are possible, depending on her current conditions. An improved understanding of these conditions could provide a more direct medical approach by categorizing the different types of patients, enabling a faster response to risk situations, and therefore increasing the quality of services. In this case study, the characteristics of the patients admitted in the maternity care unit of Centro Hospitalar of Porto are acknowledged, allowing categorizing the patient women through clustering techniques. The main goal is to predict the patients’ route through the maternity care, adapting the services according to their conditions, providing the best clinical decisions and a cost-effective treatment to patients. The models developed presented very interesting results, being the best clustering evaluation index: 0.65. The evaluation of the clustering algorithms proved the viability of using clustering based data mining models to characterize pregnant patients, identifying which conditions can be used as an alert to prevent the occurrence of medical complications.

Maternal adjustment and maternal attitudes in adolescent and adult pregnant women

Study Objective: This study analyzes differences between adolescent and adult pregnant women and the contribution of maternal age to maternal adjustment and maternal attitudes during pregnancy. Design, Setting, and Participants: A sample of 398 Portuguese pregnant women (111 younger than 19 years) was recruited in a Portuguese Maternity Hospital and completed the Maternal Adjustment and Maternal Attitudes Questionnaire between the 24th and 36th weeks of gestation. Main Outcome Measures: Maternal Adjustment and Maternal Attitudes Questionnaire. Results: Adolescent pregnant women show lower maternal adjustment (poorer body image and worse marital relationship) and poorer maternal attitudes (more negative attitudes to sex) than adult pregnant women. When controlling for socio-demographics, age at pregnancy predicts poorer body image and more negative attitudes to sex, but not a worse marital relationship, more somatic symptoms or negative attitudes to pregnancy and the baby. A worse marital relationship was better predicted by living without the partner, and more somatic symptoms and negative attitudes to pregnancy and the baby was predicted by higher education. Conclusion: Adolescent pregnant women show lower maternal adjustment and poorer maternal attitudes than adult pregnant women according to socio-demographics and unfavorable developmental circumstances.

Massage therapy reduces pain in pregnant women, alleviates prenatal depression in both parents and improves their relationships

Prenatally depressed women (N=47) were randomly assigned to a group that received massage twice weekly from their partners from 20 weeks gestation until the end of pregnancy or a control group. Self-reported leg pain, back pain, depression, anxiety and anger decreased more for the massaged pregnant women than for the control group women. In addition, the partners who massaged the pregnant women versus the control group partners reported less depressed mood, anxiety and anger across the course of the massage therapy period. Finally, scores on a relationship questionnaire improved more for both the women and the partners in the massage group. These data suggest that not only mood states but also relationships improve mutually when depressed pregnant women are massaged by their partners.