Search Articles

View query in Help articles search

Search Results (1 to 10 of 19 Results)

Download search results: CSV END BibTex RIS


Impact of a 6-Week Postpartum Text Messaging Program (Essential Coaching for Every Mother) at 6 Months: Follow-Up Study to a Randomized Controlled Trial

Impact of a 6-Week Postpartum Text Messaging Program (Essential Coaching for Every Mother) at 6 Months: Follow-Up Study to a Randomized Controlled Trial

Secondary outcomes included postpartum anxiety symptoms (Postpartum Specific Anxiety Scale [PSAS] [15]), postpartum depression symptoms (Edinburgh Postnatal Depression Scale [EPDS] [16]), and perceived social support (Multidimensional Scale of Perceived Social Support [17]).

Justine Dol, Marsha Campbell-Yeo, Megan Aston, Douglas McMillan, Amy K Grant

JMIR Pediatr Parent 2025;8:e62841

Essential Coaching for Every Mother Tanzania (ECEM-TZ): Protocol for a Type 1 Hybrid Effectiveness-Implementation Randomized Controlled Trial

Essential Coaching for Every Mother Tanzania (ECEM-TZ): Protocol for a Type 1 Hybrid Effectiveness-Implementation Randomized Controlled Trial

The goal of the ECEM-TZ intervention is to improve maternal access to knowledge during the immediate 6-week postnatal period, and to increase maternal self-efficacy and improve mental health outcomes.

Justine Dol, Lilian Teddy Mselle, Marsha Campbell-Yeo, Columba Mbekenga, Thecla Kohi, Douglas McMillan, Cindy-Lee Dennis, Gail Tomblin Murphy, Megan Aston

JMIR Res Protoc 2024;13:e63454

Perceived Acceptability of Technology Modalities for the Provision of Universal Child and Family Health Nursing Support in the First 6-8 Months After Birth: Cross-Sectional Study

Perceived Acceptability of Technology Modalities for the Provision of Universal Child and Family Health Nursing Support in the First 6-8 Months After Birth: Cross-Sectional Study

Services routinely offered by CFHN services include universal health home visits in the first month of a child’s life, postnatal care, immunizations, child health, and developmental checks (through the Personal Health Record or “Blue Book”), feeding support and maternal psychosocial assessments and screening [1].

Tessa Delaney, Jacklyn K Jackson, Alison L Brown, Christophe Lecathelinais, Luke Wolfenden, Nayerra Hudson, Sarah Young, Daniel Groombridge, Jessica Pinfold, Paul David Craven, Sinead Redman, John Wiggers, Melanie Kingsland, Margaret Hayes, Rachel Sutherland

JMIR Pediatr Parent 2024;7:e59191

Understanding Symptom Self-Monitoring Needs Among Postpartum Black Patients: Qualitative Interview Study

Understanding Symptom Self-Monitoring Needs Among Postpartum Black Patients: Qualitative Interview Study

High-risk features included attendance at a high-risk clinic for prenatal or postnatal care, inpatient hospitalization within 12 months post partum, a prescription of an antidepressant or benzodiazepine within 12 months of the pregnancy, or a new diagnosis of depression or anxiety within 12 months of the pregnancy. High-risk clinics treated various conditions, but the most common conditions were gestational hypertension and gestational diabetes.

Natalie Benda, Sydney Woode, Stephanie Niño de Rivera, Robin B Kalish, Laura E Riley, Alison Hermann, Ruth Masterson Creber, Eric Costa Pimentel, Jessica S Ancker

J Med Internet Res 2024;26:e47484

The Finnegan Score for Neonatal Opioid Withdrawal Revisited With Routine Electronic Data: Retrospective Study

The Finnegan Score for Neonatal Opioid Withdrawal Revisited With Routine Electronic Data: Retrospective Study

Primary NAS was coded when at least 1 FS was documented before any opioid medication was administered, any surgery was performed, and the patient had not yet approached postpartum day 8. i NAS was coded when any opioid medication was administered before the patient’s first FS regardless of postnatal age. Patients with documented FS who did not meet any of these criteria were excluded.

Till Rech, Kerstin Rubarth, Christoph Bührer, Felix Balzer, Christof Dame

JMIR Pediatr Parent 2024;7:e50575

Predicting Fetal Alcohol Spectrum Disorders Using Machine Learning Techniques: Multisite Retrospective Cohort Study

Predicting Fetal Alcohol Spectrum Disorders Using Machine Learning Techniques: Multisite Retrospective Cohort Study

The most severe form of FASD, otherwise known as fetal alcohol syndrome (FAS), is characterized by distinct facial malformations, prenatal or postnatal growth retardation, and central nervous system abnormalities [2]. In the United States, it is predicted that around 1%-5% of school-aged children have FASDs and 0.6%-0.9% have FAS [3]. While FASDs are 100% preventable if a pregnant woman abstains from consuming alcohol [4], more than 10% of women drink during pregnancy [5].

Sarah Soyeon Oh, Irene Kuang, Hyewon Jeong, Jin-Yeop Song, Boyu Ren, Jong Youn Moon, Eun-Cheol Park, Ichiro Kawachi

J Med Internet Res 2023;25:e45041