Background: Pregnant women and their families, especially those navigating chronic illness or challenging life situations, often seek information and counseling. The pregnancy period and the transition to parenthood can exacerbate these circumstances, leaving families particularly vulnerable. Addressing stressful situations becomes a hurdle in this context. Digital health technologies (DHTs), encompassing mobile apps, wearable devices and online platforms, present a valuable avenue for pregnant women and their families to access health information, educational parenting resources and personalized recommendations. The aim is to analyze the current research of digital health interventions designed to support parents throughout the transition from pregnancy to parenthood.
Methods: We conducted a scoping review and analyzed MEDLINE via PubMed, CINAHL, Cochrane Library, IEEE Xplore Digital Library, ScienceDirect and PsycINFO. Relevant German and English articles from 2004 to 2023 referring to DHTs to improve the time before and after birth were included.
Results: In 78 articles, pregnant women and parents utilized various DHTs such as mobile applications, multi-functional digital platforms, social media, videos and health websites during the transition from pregnancy to parenthood. Mobile apps and multi-component digital interventions were most frequently used in these studies. A large proportion of the studies employed experimental designs such as randomized controlled trials (RCTs) and quasi-experimental methods. DHTs empower healthcare professionals to enhance parental health education for expecting and new parents in areas such as breastfeeding, preterm birth risks and mental health. DHTs provide accessible support, instruction, counseling and health services, including care for premature infants and guidance on baby-care practices. These DHTs also enable innovative monitoring of pregnancy progress, women's health, breastfeeding and mental wellbeing, thereby revolutionizing healthcare support for pregnant individuals and young families.
Conclusion: DHTs allow pregnant women and their families to access health information, participate in parenting training, and receive personalized recommendations. This can contribute to increased self-care and a sense of control over the pregnancy journey. There is also a need for research to understand the effectiveness and feasibility of implementing and evaluation existing digital health interventions.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.zefq.2024.11.013 | DOI Listing |
BMC Med Inform Decis Mak
January 2025
Department of Nutritional and Metabolic Psychiatry, The Affiliated Brain Hospital, Guangzhou Medical University, No. 36 Fangcun Mingxin Road, Liwan District, Guangzhou, 510370, China.
Background: The practical application of infectious disease emergency plans in mental health institutions during the ongoing pandemic has revealed significant shortcomings. These manifest as chaotic management of mental health care, a lack of hospital infection prevention and control (IPC) knowledge among medical staff, and unskilled practical operation. These factors result in suboptimal decision-making and emergency response execution.
View Article and Find Full Text PDFBMC Oral Health
January 2025
Department of Stomatology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China.
Background: Proper torque control is crucial to the outcome of orthodontic treatment. This study aimed to employ finite element analysis to compare the torque capabilities of a novel spherical self-ligating bracket with a lock-hook system against those of commonly used passive self-ligating and conventional bracket systems, as well as to reveal the biomechanical changes in the periodontal ligament (PDL) during torque expression.
Methods: A maxillary right central incisor, along with its PDL and alveolar bone, were modeled.
BMC Oral Health
January 2025
Oral Medicine, Periodontology and Oral Diagnosis, Faculty of Dentistry, Assiut University, Assiut, Egypt.
Objective: This study aimed to evaluate the clinical performance (degree of trueness) of a novel scan body "tooth-modified Scan body" (TMSB)& conventional scan body (CSB) in implant-supported full arch screw retained cases.
Methods: Seven edentulous arches (two maxillae, five mandibles) in 6 patients were rehabilitated with monolithic zirconia screw-retained implant prostheses supported by 4 (n = 1) and 5 implants (n = 6) for a total amount of 34 implants. Implant locations were scanned by intra-oral scanner (IOS) using two types of scan bodies, conventional scan bodies (CSB) in group (1) and tooth-modified scan bodies (TMSB) in group (2).
BMC Med Inform Decis Mak
January 2025
QUEST Center for Responsible Research, Berlin Institute of Health at Charité Universitätsmedizin Berlin, Berlin, Germany.
Background: Machine learning (ML) is increasingly used to predict clinical deterioration in intensive care unit (ICU) patients through scoring systems. Although promising, such algorithms often overfit their training cohort and perform worse at new hospitals. Thus, external validation is a critical - but frequently overlooked - step to establish the reliability of predicted risk scores to translate them into clinical practice.
View Article and Find Full Text PDFBMC Psychiatry
January 2025
Brain and Mind Institute, Aga Khan University, Stadium Road, Karachi, 74800, Pakistan.
Background: With a shortage of mental health specialists and a significant rural population in Pakistan, leveraging community-based healthcare workers becomes crucial to address mental health needs. Equipping the healthcare workers with digital tools such as mobile applications have the potential to increase access to mental health support in low-resource areas. This study examines the acceptability, appropriateness, barriers, and facilitators to implementing a technology-assisted mental health intervention (mPareshan) delivered by Lady Health Workers (LHWs) in rural Pakistan.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!