Challenges and diagnosis in therapy of secondary amenorrhoea in caesarean section patient with postpartum haemorrhage B-lynch sutures: a case report.

Introduction and importance: International Federation of Gynecology and Obstetrics (FIGO) and WHO report the incidence of postpartum haemorrhage (PPH) reaches 1-10% and contributes to an increase in postpartum maternal mortality with uterine atony as the most common cause. B-Lynch method is a suturing technique to overcome PPH. Although this method has proven useful as an emergency life-saving measure, the post-procedure complications are still able to occur. Presentation of case: The patient was not menstruating for 14 months after giving birth through caesarean section with B-Lynch due to PPH. Before pregnancy, she had regular menstruation cycle and normal menstrual duration. Her general and gynaecological status were normal. Ultrasound showed the impression of uterine hypoplasia and endometrium that were difficult to assess while both ovaries were normal. Diagnostic hysteroscopy showed a severe degree of Asherman's syndrome. The results of FSH, LH and estradiol were normal. Discussion: B-lynch suture is performed as a method to stop PPH in uterine atony. Secondary amenorrhoea occurs as a complication of B-lynch. Compression action of B-lynch can cause progressive myometrium necrosis resulting in synechiae and blockade of uterine blood flow. This will interfere with the development of the uterus. Intrauterine adhesions and amenorrhoea with normal levels of FSH, LH, and estradiol support the diagnosis of Asherman's syndrome. Conclusion: This case shows that the B-Lynch procedure, which is the worldwide recommended method for treating postpartum haemorrhage due to its high success rate, can cause complications of Asherman's syndrome and cause secondary amenorrhoea.

Social factors influence on anxiety, depression level and psychological trauma of obstetrics and gynecology residents during COVID-19 pandemic.

Background and aim: The novel coronavirus disease 2019 (COVID-19) has enforced obstetrics and gynecology (ObGyn) residency training process to undergo wide changes including lessons modifications, yet their mental health were not evaluated. Hence, this study aimed to evaluate the influence of social factors on anxiety, depression level, and psychological trauma of ObGyn residents during the COVID-19 pandemic as well as the impact of COVID-19 to residency training program. Methods: A cross-sectional study was conducted in three institutions in Indonesia: the University of Indonesia, the University of Lambung Mangkurat, and the University of Syiah Kuala. A total of 169 ObGyn residents agreed to participate and were enrolled in this study. Results: Total 169 residents were eligible with a mean age of 26-42 years. 76.9% of the residents were exposed to COVID-19 patients during clinical rotation. Approximately half of them (52.6%) thought COVID-19 has brought negative effects. Long-distance learning was considered of good quality by 40.2% of participants. The majority experienced enough resting periods, nearly half of them (45.5%) were concerned about the impact of being a less competent specialist. Conclusion: Overall, no significant statistical relationship were revealed between social factors and depression, anxiety and psychological trauma in ObGyn residents during COVID-19 pandemic.

Factors affecting knowledge regarding unmet need on fertile aged women in Indonesia: evaluation of 2012 and 2017 IDHS.

BACKGROUND: The Family Planning (FP) Program is a national method of controlling population growth rates while improving maternal and child health. Indonesia, as one of the largest countries, has abysmally low contraceptive coverage. One of its main issues is unmet contraceptive needs. This study aims to determine the factors that influence women's unmet need of childbearing age (WCA) in Indonesia. METHODS: We performed an unpaired comparative analytic study with a cross-sectional method was conducted on secondary data obtained from 2012 to 2017 Indonesia Demographic and Health Survey (IDHS). The subjects in this study were all women of childbearing age (15-49 years). Subjects with incomplete data were excluded from the study. Unmet need was defined as WCA who did not use contraception but decline to have more children or wanted to delay their pregnancies. Chi-square analysis was performed on categorical data and Mann-Whitney U analysis on numerical data. RESULT: A total of 45,607 WCA in the 2012 IDHS data and 29,627 WCA in the 2017 IDHS data were included in the study. In the 2012 IDHS data, factors influencing unmet needs were age (p = 0.023) and parity (p < 0.0001). In the 2017 IDHS data, factors influencing unmet needs were the residential area (p = 0.003), level of education (p = 0.008), level of spouse's education (p < 0.0001), employment status (p = 0.03), possession of electricity (p = 0.001), and possession of television (p = 0.01). CONCLUSION: Factors affecting unmet needs are age, parity, residential area, level of education, level of spouse's education, employment status, possession of television, and possession of electricity. There were no recurring factors on 2012 and 2017 IDHS data.

The Family Planning (FP) Program is a national method of controlling population growth rates while improving maternal and child health. Indonesia, as one of the largest countries, has abysmally low contraceptive coverage. One of its main issues is unmet contraceptive needs. This study aims to determine the factors that influence women's unmet need of childbearing age (WCA) in Indonesia.An unpaired comparative analytic study with a cross-sectional method was conducted on secondary data obtained from 2012 and 2017 Indonesia Demographic and Health Survey (IDHS). The subjects in this study were all women of childbearing age (15­49 years). Subjects with incomplete data were excluded from the study. Unmet need was defined as WCA who did not use contraception but decline to have more children or wanted to delay their pregnancies. Chi-square analysis was performed on categorical data and Mann­Whitney U analysis on numerical data. A total of 45,607 WCA in the 2012 IDHS data and 29,627 WCA in the 2017 IDHS data were included in the study. In the 2012 IDHS data, factors influencing unmet needs were age and parity. In the 2017 IDHS data, factors influencing unmet needs were the residential area, level of education, level of spouse's education, employment status, possession of electricity, and possession of television.In conclusion, factors affecting unmet needs are age, parity, residential area, level of education, level of spouse's education, employment status, possession of television, and possession of electricity. There were no recurring factors on 2012 and 2017 IDHS data.