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Evaluation of Satisfaction With a Secure, Connected Mobile App for Women in Assisted Reproductive Technology Programs: Prospective Observational Study

Evaluation of Satisfaction With a Secure, Connected Mobile App for Women in Assisted Reproductive Technology Programs: Prospective Observational Study

Recently, connected apps have been developed for use in gynecology and obstetrics [25]. There are probably other connected apps in the world in the field of fertility, but to date and to our knowledge, there are very few publications on this subject. Boivin et al [26] were interested in the development of a mobile app (Medi Emo) to provide support during medically assisted reproduction.

Pauline Plouvier, Romaric Marcilly, Geoffroy Robin, Chaymae Benamar, Camille Robin, Virginie Simon, Anne Sophie Piau, Isabelle Cambay, Jessica Schiro, Christine Decanter

JMIR Hum Factors 2025;12:e63570

Accuracy, Quality, and Misinformation of YouTube Abortion Procedural Videos: Cross-Sectional Study

Accuracy, Quality, and Misinformation of YouTube Abortion Procedural Videos: Cross-Sectional Study

Each video’s accuracy was calculated based on how many steps on the corresponding Surgical Curriculum in Obstetrics and Gynecology (SCOG) checklist were included in each video (Multimedia Appendix 1). Each video’s quality was calculated using the LAP-VEGa S criteria (Multimedia Appendix 2) [8]. There is significant correlation between a score of ≥11 out of 18 on the LAP-VEGa S tool and recommended acceptance for publication, indicating adequate quality of educational content.

Nicole Acero, Emma Herrero, Juanita Foncham, Jamie McIlvaine, Emre Kayaalp, Melissa Figueora, Antonia Francis Oladipo

J Med Internet Res 2024;26:e50099

Understanding the Values, Qualities, and Preferences of Patients in Their Relationships With Obstetrics and Gynecology Providers: Cross-Sectional Survey With a Mixed Methods Approach

Understanding the Values, Qualities, and Preferences of Patients in Their Relationships With Obstetrics and Gynecology Providers: Cross-Sectional Survey With a Mixed Methods Approach

The patient-provider relationship in obstetrics and gynecology (OBGYN) presents unique complexities due to the sensitive nature of examinations and discussions. The patient provider relationship is further shaped by increasing emphasis on patient-centered care, which highlights the importance of patient needs, perspectives, beliefs, and values [1,2].

Ann Blair Kennedy, Anna Tarasidis Harb, Chloe Schockling, Lauren Jackson Ray, Jennifer Palomo, Rebecca Russ-Sellers

J Particip Med 2024;16:e58096

Artificial Intelligence–Augmented Clinical Decision Support Systems for Pregnancy Care: Systematic Review

Artificial Intelligence–Augmented Clinical Decision Support Systems for Pregnancy Care: Systematic Review

Because pregnancy care often is characterized by multi-modal (eg, clinical findings, medical imaging, noninvasive prenatal testing, and genomics), multi-specialty data (eg, obstetrics, maternal-fetal medicine, gynecology, reproductive endocrinology and infertility, and neonatology), and complex episodes (ie, from preconception, conception, prenatal, intrapartum, to post partum), precise and timely clinical decision support requires a very high level of EHR interoperability and clinical validity.

Xinnian Lin, Chen Liang, Jihong Liu, Tianchu Lyu, Nadia Ghumman, Berry Campbell

J Med Internet Res 2024;26:e54737

Machine Learning Model for Anesthetic Risk Stratification for Gynecologic and Obstetric Patients: Cross-Sectional Study Outlining a Novel Approach for Early Detection

Machine Learning Model for Anesthetic Risk Stratification for Gynecologic and Obstetric Patients: Cross-Sectional Study Outlining a Novel Approach for Early Detection

In addition to refining the models’ accuracy, we will explore their applicability across different medical fields, potentially extending beyond gynecology and obstetrics. The ultimate objective is to develop a dynamic, personalized anesthetic risk stratification framework that integrates multiple risk factors, uses advanced machine learning techniques, and leverages real-time data to substantially enhance the quality of patient care across health care settings.

Feng-Fang Tsai, Yung-Chun Chang, Yu-Wen Chiu, Bor-Ching Sheu, Min-Huei Hsu, Huei-Ming Yeh

JMIR Form Res 2024;8:e54097

Association Between Gestational Weeks, Initial Maternal Perception of Fetal Movement, and Individual Interoceptive Differences in Pregnant Women: Cross-Sectional Study

Association Between Gestational Weeks, Initial Maternal Perception of Fetal Movement, and Individual Interoceptive Differences in Pregnant Women: Cross-Sectional Study

Williams Obstetrics estimated it to be around 18-20 weeks for primiparous women and around 16-18 weeks for multiparous women [1]. Other studies reported that most pregnant women experience the onset of fetal movement at 16-20 weeks [2,14,15]. Therefore, we posit that the number of weeks at which fetal movements are first noticed in the participants of this study is approximately the same as the average number of weeks.

Miku Furusho, Minami Noda, Yoko Sato, Yoshiko Suetsugu, Seiichi Morokuma

Asian Pac Isl Nurs J 2024;8:e57128

Intention to Use Mobile-Based Partograph and Its Predictors Among Obstetric Health Care Providers Working at Public Referral Hospitals in the Oromia Region of Ethiopia in 2022: Cross-Sectional Questionnaire Study

Intention to Use Mobile-Based Partograph and Its Predictors Among Obstetric Health Care Providers Working at Public Referral Hospitals in the Oromia Region of Ethiopia in 2022: Cross-Sectional Questionnaire Study

The midwives, nurses, integrated emergency obstetrics and surgery professionals, general practitioners, obstetricians, and gynecologists are trained obstetric health care professionals. All obstetric health care providers who were working at Oromia region public referral hospitals and were available at the time of data collection were the source and study population of this study. The sample size for this study was calculated based on the rule of thumb of structural equation modeling.

Kefyalew Naniye Tilahun, Jibril Bashir Adem, Wabi Temesgen Atinafu, Agmasie Damtew Walle, Nebyu Demeke Mengestie, Abraham Yeneneh Birhanu

Online J Public Health Inform 2024;16:e51601

Patient and Provider Perspectives About the Use of Patient-Generated Health Data During Pregnancy: Qualitative Exploratory Study

Patient and Provider Perspectives About the Use of Patient-Generated Health Data During Pregnancy: Qualitative Exploratory Study

In obstetrics, patient-centered care is recognized as important, yet providing this care during pregnancy remains challenging [5-8] as providers need to gather information from patients about their health and well-being throughout their pregnancies. To facilitate the gathering of person-centered information, there is increasing interest in the role of patients in reporting health-related data to their providers to inform patient-centered care.

Sarah R MacEwan, Ramona G Olvera, Pallavi Jonnalagadda, Naleef Fareed, Ann Scheck McAlearney

JMIR Form Res 2024;8:e52397

Use of Electronic Patient Messaging by Pregnant Patients Receiving Prenatal Care at an Academic Health System: Retrospective Cohort Study

Use of Electronic Patient Messaging by Pregnant Patients Receiving Prenatal Care at an Academic Health System: Retrospective Cohort Study

As health systems have adopted electronic health records, patient portal platforms, including widely used mobile apps such as My Chart, have proliferated in both primary care and medical specialties, including obstetrics [1,2]. A patient portal is a secure web-based interface connected to the personal electronic health record.

Kai Holder, Joe Feinglass, Charlotte Niznik, Lynn M Yee

JMIR Mhealth Uhealth 2024;12:e51637