UNASSIGNED: Abortion is a public health problem in Latin America and is more common among women living with HIV.
UNASSIGNED: to verify the incidence and factors associated with induced abortion in a cohort of women living with HIV assisted in a reference service for care for individuals with HIV/AIDS in Rio de Janeiro/Brazil.
UNASSIGNED: Prospective cohort during the period 1996-2016. We estimated the incidence of induced abortions during follow-up in the cohort by calculating person-time incidence rates [per 100 persons-years (PY)] and investigated the factors associated with the outcome \"induced abortion\" using a generalized linear mixed model.
UNASSIGNED: 753 women and 210 pregnancies were included in the present analysis. We estimated an induced abortion incidence rate of 0.68/100 persons-years (95% confidence interval [CI]: 0.47; 0.94) in the study period, with a significant reduction after 2006. The main factors associated with an induced abortion were currently living with a partner (adjusted OR [AdjOR] 0.32 95% CI: 0.10-0.98), number of children (2 children AdjOR 0.12, 95% CI: 0.02-0.95) and the type of antiretroviral treatment used (regimen without Efavirenz: AdjOR: 0.11, 95% CI 0.02-0.70).
UNASSIGNED: We showed a significant reduction in the incidence of induced abortions in a cohort of women living with HIV in Rio de Janeiro, Brazil, probably due to a decrease in the incidence of pregnancies observed in the same period. The factors associated with a lower occurrence of induced abortion suggest a good integration between the clinical and reproductive assistance offered to those women.

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BACKGROUND: Recently, the incidence of missed miscarriage has gradually increased, and medical abortion is a common method to terminate a pregnancy. In the process of medical abortion, massive vaginal bleeding takes place, leading to emergency surgical haemostasis. Emergency surgery may produce infection and organ damage. Our study aimed to investigate the high-risk factors for massive haemorrhage during a medical abortion.
METHODS: A total of 1062 missed miscarriage patients who underwent medical abortion participated in this retrospective study. According to the amount of bleeding, the patients were divided into a massive haemorrhage group and a control group. By comparing the general conditions of the two groups, such as fertility history, uterine surgery history, uterine fibroids, etc., the high-risk factors for massive haemorrhage during medical abortion were identified.
RESULTS: Relative to the control group, the massive haemorrhage group exhibited a higher proportion of patients with a previous artificial abortion (51.9% vs. 38.1%, P = 0.001). Additionally, the massive haemorrhage group had a lower percentage of first-time pregnant women (32.1% vs. 40.4%) and a higher proportion of women with shorter pregnancy intervals (44.9% vs. 33.1%, P = 0.03). Furthermore, there were notable differences between the two groups regarding maximum fibroid size, the duration of amenorrhea, and gestational week (P < 0.05).
CONCLUSIONS: In this study, we determined that a history of artificial abortion and an amenorrhea duration of > 11 weeks represented high-risk factors for massive vaginal bleeding during medical abortion in missed miscarriage patients.

OBJECTIVE: Pregnancies ending before gestational week 12 are common but not notified to the Medical Birth Registry of Norway. Our goal was to develop an algorithm that more completely detects and dates all possible pregnancy outcomes (i.e., miscarriages, elective terminations, ectopic pregnancies, molar pregnancies, stillbirths, and live births) by using diagnostic codes from primary and secondary care registries to complement information from the birth registry.
METHODS: We used nationwide linked registry data between 2008 and 2018 in a hierarchical manner: We developed the UiO pregnancy algorithm to arrive at unique pregnancy outcomes, considering codes within 56 days as the same event. To estimate the gestational age of pregnancy outcomes identified in the primary and secondary care registries, we inferred the median gestational age of pregnancy markers (45 ICD-10 codes and 9 ICPC-2 codes) from pregnancies registered in the medical birth registry. When no pregnancy markers were available, we assigned outcome-specific gestational age estimates. The performance of the algorithm was assessed by blinded clinicians.
RESULTS: Using only the medical birth registry, we identified 649 703 pregnancies, including 1369 (0.2%) miscarriages and 3058 (0.5%) elective terminations. With the new algorithm, we detected 859 449 pregnancies, including 642 712 live-births (74.8%), 112 257 miscarriages (13.1%), 94 664 elective terminations (11.0%), 6429 ectopic pregnancies (0.7%), 2564 stillbirths (0.3%), and 823 molar pregnancies (0.1%). The median gestational age was 10+1 weeks (IQR 10+0-12+2) for miscarriages and 8+0 weeks (IQR 8+0-9+6) for elective terminations. Gestational age could be inferred using pregnancy markers for 66.3% of miscarriages and 47.2% of elective terminations.
CONCLUSIONS: The UiO pregnancy algorithm improved the detection and dating of early non-live pregnancy outcomes that would have gone unnoticed if relying solely on the medical birth registry information.

BACKGROUND: Access to post-abortion contraception (PAC) is critical for reducing unintended pregnancies and supporting reproductive decision-making. Patients often face challenges in identifying, accessing and initiating their preferred contraceptive methods post-abortion. This may be particularly so with telemedicine models of care with absence of in-person appointments, and reduced opportunities to provide some contraceptive methods. This qualitative service evaluation explored patients\' perspectives on PAC consultations and decision-making to inform future PAC service models in the era of telemedicine.
METHODS: Qualitative interviews with 15 patients who had telemedicine medical abortion at home up to 12 weeks\' gestation. Data were analysed using reflexive thematic analysis.
RESULTS: Contraceptive discussions during pre-abortion consultations were valued for supporting informed choices about future contraceptive use. Decision-making was influenced by previous contraception experiences, emotional state at the time of abortion and concerns about contraceptive \'failure\'. Some preferred non-hormonal methods due to past negative experiences with hormonal contraceptives. However, limited information about \'natural\' contraceptive methods and concerns about discussing these with healthcare professionals were described. Barriers to accessing preferred methods, particularly long-acting reversible contraception (LARC), included reduced availability of appointments and caring responsibilities. Fast-tracked appointments for LARC fitting post-abortion were valued. The need for flexible PAC consultations and access after abortion, for example, remote consultations complemented by personalised interactions with sexual and reproductive health experts, was emphasised.
CONCLUSIONS: The findings highlight the need for flexible and more accessible PAC service models in the era of telemedicine care to ensure timely access to preferred contraceptive methods.

BACKGROUND: Pregnancy termination or induced abortion is not decriminalized, and access to safe abortion services is largely unavailable in Papua New Guinea (PNG). However, the practice is common throughout the country. This study aimed to estimate the prevalence and determine factors associated with pregnancy termination among married women aged 15-49 years in PNG.
METHODS: Secondary data from the 2016-2018 PNG Demographic and Health Survey (PNGDHS) was used. A total weighted sample of 6,288 married women were included. The Complex Sample Analysis method was used to account for the cluster design and sample weight of the study. Chi-square tests and multivariable logistic regression were used to assess factors associated with pregnancy termination. Adjusted odds ratios (aORs) with 95% Confidence Intervals (CIs) were reported.
RESULTS: The prevalence of pregnancy termination was 5.3%. Nearly half (45.2%) of all pregnancy terminations occurred in the Highlands region. Women aged 35-44 years (aOR = 8.54; 95% CI: 1.61-45.26), not working (aOR = 6.17; 95% CI: 2.26-16.85), owned a mobile phone (aOR = 3.77; 95% CI: 1.60-8.84), and lived in urban areas (aOR = 5.66; 95% CI: 1.91-16.81) were more likely to terminate a pregnancy. Women who experienced intimate partner violence (IPV) were 2.27 times (aOR = 2.27; 95% CI: 1.17-4.41) more likely to terminate a pregnancy compared to those who did not experience IPV. Women with unplanned pregnancies were 6.23 times (aOR = 6.23; 95% CI: 2.61-14.87) more likely to terminate a pregnancy. Women who knew about modern contraceptive methods and made independent decisions for contraceptive use were 3.38 and 2.54 times (aOR = 3.38; 95% CI: 1.39-8.18 and aOR = 2.54; 95% CI: 1.18-5.45, respectively) more likely to terminate a pregnancy.
CONCLUSIONS: The findings highlight the role of sociodemographic and maternal factors in pregnancy termination among married women in PNG. Efforts aimed at reducing unplanned pregnancies and terminations should focus on comprehensive sexual and reproductive health education and improving easy access to contraceptives for married couples. Post-abortion care should also be integrated into the country\'s legal framework and added as an important component of existing sexual and reproductive health services.

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The June 24, 2022 US Supreme Court decision in Dobbs v Jackson Women\'s Health Organization resulted in an expansive restriction on abortion access that had been constitutionally guaranteed for nearly half a century. Currently, 14 states have implemented complete bans on abortion with very limited exceptions, and an additional 7 states have implemented abortion bans at 6 to 18 weeks\' gestation. It has been well demonstrated that restrictive policies disproportionately limit abortion access for minoritized people and people of low socioeconomic status; the financial and geographic barriers of these post-Dobbs restrictions will only exacerbate this disparity. Proponents of abortion restrictions, who identify as pro-life, assert that these policies are essential to protect children, women, and families. We examine whether the protection of these groups extends past conception by evaluating the association between state abortion legislation and state-based policies and programs designed to provide medical and social support for children, women, and families. We found that states with the most restrictive post-Dobbs abortion policies in fact have the least comprehensive and inclusive public infrastructure to support these groups. We suggest further opportunities for advocacy. (Am J Public Health. 2024;114(10):1043-1050. https://doi.org/10.2105/AJPH.2024.307792).

Objectives. To assess the impact of Ohio\'s abortion policy changes on abortion provision following Dobbs v Jackson Women\'s Health Organization. Methods. We analyzed quantitative and write-in responses from an ongoing survey of 6 abortion facilities in Ohio for 3 time periods: January‒June 2022 (pre-Dobbs), July‒September 2022 (6-week ban in effect), and October 2022‒June 2023 (post-Dobbs, ban blocked). We disaggregated counts by method, gestation, and state of residence. Results. Following Dobbs, Ohio banned abortions after detection of embryonic cardiac activity, and monthly abortion provision decreased 56%. Several months after the ban was lifted, monthly abortion means exceeded pre-Dobbs means. The percentage of patients from out of state increased over time. Conclusions. The post-Dobbs enactment of a restrictive abortion ban drastically reduced availability of reproductive health care in Ohio. Nevertheless, Ohio remained an important destination for patients from surrounding states with abortion restrictions. Public Health Implications. Gestational bans decrease access to necessary health care; instead, states like Ohio should work to eliminate barriers to abortion care to support the health and well-being of people in their own and surrounding states. (Am J Public Health. 2024;114(10):1034-1042. https://doi.org/10.2105/AJPH.2024.307775).