Background: Family planning clinical encounters are important opportunities for HIV prevention. Our objectives were to 1) estimate the proportion of patients seeking induced abortion and early pregnancy loss management eligible for HIV pre-exposure prophylaxis (PrEP) and 2) compare PrEP eligibility and uptake between patients with unintended and intended pregnancy.
Methods: We conducted a cross-sectional survey and a nested prospective cohort study of patients seeking an induced abortion or early pregnancy loss management. We assessed pregnancy intendedness, PrEP awareness, HIV risk and risk perception, desire for same-day PrEP start, and PrEP continuation at 30 days. We used the χ and Fisher's exact tests to assess differences between the participants with intended and unintended pregnancy. We had 80% power to detect a 14% difference in PrEP eligibility between the groups.
Results: We enrolled 250 women. Fifty-six percent (139) had an unintended pregnancy and 44% (110) had an intended pregnancy. PrEP eligibility did not differ significantly between the patients with intended and unintended pregnancy (16% vs. 10%; p = .18). More than one-half (54%, 135/250) were unaware of PrEP before their study visit, and 93% (232/250) considered themselves unlikely to acquire HIV. Of 33 women who were PrEP eligible, 11 accepted same-day start and 1 continued PrEP at 30 days.
Conclusions: Intendedness of pregnancy was unrelated to PrEP eligibility in women seeking induced abortion and early pregnancy loss management. Most patients seeking these services are unaware of PrEP. Integrating PrEP into family planning care is likely to increase awareness and uptake of PrEP in women.
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http://dx.doi.org/10.1016/j.whi.2021.12.005 | DOI Listing |
Med Phys
January 2025
Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China.
Background: Online adaptive radiotherapy (OART) and rapid quality assurance (QA) are essential for effective heavy ion therapy (HIT). However, there is a shortage of deep learning (DL) models and workflows for predicting Monte Carlo (MC) doses in such treatments.
Purpose: This study seeks to address this gap by developing a DL model for independent MC dose (MCDose) prediction, aiming to facilitate OART and rapid QA implementation for HIT.
Aesthetic Plast Surg
January 2025
Department of Plastic Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea.
Background: In the realm of implant-based breast reconstruction, mastectomy flap necrosis (MFN) is a prevalent yet grave complication that poses a threat to the stability of the inserted prosthesis. Although numerous investigations have scrutinized the risk factors for MFN development, few have delved into the aftermath, specifically implant failure or salvage. This study seeks to appraise the prognosis of the implanted prosthesis following MFN occurrence, as well as identify predictors of such outcomes.
View Article and Find Full Text PDFAcad Radiol
January 2025
Department of Ultrasound, Chengdu Second People's Hospital, Chengdu 610000, China (X.L., X.Q.). Electronic address:
Rationale And Objectives: This study aims to develop a radiopathomics model based on preoperative ultrasound and fine-needle aspiration cytology (FNAC) images to enable accurate, non-invasive preoperative risk stratification for patients with papillary thyroid carcinoma (PTC). The model seeks to enhance clinical decision-making by optimizing preoperative treatment strategies.
Methods: A retrospective analysis was conducted on data from PTC patients who underwent thyroidectomy between October 2022 and May 2024 across six centers.
BMJ Open
January 2025
Department of Community Medicine and Family Medicine, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.
Background: The avoidable causes of infant mortality should be identified, and interventions should be made to improve the infant mortality rate. The cause of infant deaths should be assessed in both medical and social contexts.
Objectives: We aimed to determine the medical causes of infant mortality by verbal autopsy and its determinants in two rural blocks of the Khordha district of Odisha and assess the pathway of care and delay in seeking care for the illness preceding infant death using the three-delay model.
JMIR Res Protoc
January 2025
Department of Public Health Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Cheras, Malaysia.
Background: Postpartum depression remains a significant concern, posing substantial challenges to maternal well-being, infant health, and the mother-infant bond, particularly in the face of barriers to traditional support and interventions. Previous studies have shown that mobile health (mHealth) interventions offer an accessible means to facilitate early detection and management of mental health issues while at the same time promoting preventive care.
Objective: This study aims to evaluate the effectiveness of the Leveraging on Virtual Engagement for Maternal Understanding & Mood-enhancement (LoVE4MUM) mobile app, which was developed based on the principles of cognitive behavioral therapy and psychoeducation and serves as an intervention to prevent postpartum depression.
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