Ten years of in vitro fertilization in Indonesia: Access to infertility care in a developing country.

OBJECTIVE: This research was conducted to assess access to assisted reproductive technologies (ART) and the current status of the in vitro fertilization (IVF) program that have been implemented in Indonesia over the last 10 years. METHODS: We established a retrospective cohort study and descriptive analysis of the current state of access to infertility care in Indonesia. The data were collected from all IVF centers, clinics, and hospitals in Indonesia from 2011 to 2020, including the number of IVF clinics, total ART cycles, retrieved fresh and frozen embryos, average age of IVF patients, IVF pregnancy rate, and causes of infertility. RESULTS: The number of reported fertility clinics in Indonesia has increased from 14 clinics in 2011 to 41 clinics by 2020. As many as 69 569 ART cycles were conducted over the past 10 years, of which 51 892 cycles used fresh embryos and 17 677 cycles used frozen embryos. The leading cause of consecutive infertility diagnosis was male infertility. Nearly half of the women who underwent IVF procedures (48.9%) were under 35 years old. The pregnancy rate outcome of women who underwent IVF ranged from 24.6% to 37.3%. CONCLUSION: Developments in ART in Indonesia have led to improvements in the ART cycles performed throughout the 10 year period. The identification of key areas that require improvement can provide an opportunity to enhance access to infertility care.

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.