Feasibility of continuous smart health monitoring in pregnant population: A mixed-method approach.

The utilization of smart monitoring technology offers potential for enhancing health outcomes, yet its feasibility and acceptance among Hispanic pregnant individuals remain uncertain. This is particularly crucial to investigate within the context of apparently healthy individuals identified as low risk, who still face a 10% likelihood of complications. Given their frequent underrepresentation in healthcare services and relative lack of attention, improving the feasibility of remote monitoring in this population could yield significant benefits. To address this gap, our study aimed to adapt and evaluate the practicality of a smart monitoring platform among healthy Hispanic pregnant women during the second and third trimesters of pregnancy, as well as one week following childbirth, a period when complications often arise. This longitudinal study followed n = 16 participants for an average of 17 weeks. Participants were instructed to wear the Oura ring for objective data collection, including activity, sleep, and heart rate, and to complete survey questions through REDcap to assess mental health and lifestyle factors. The study framework utilized the RE-AIM approach, with acceptability and adherence as key components of the feasibility evaluation. Our findings revealed that completion rates for biweekly and monthly surveys remained consistently high until after childbirth (approximately 80%), while daily question completion remained above 80% until 38th week of gestation, declining thereafter. The wearing rate of the Oura ring remained consistently above 80% until the 35th gestational week, decreasing to around 31% postpartum. Participants cited barriers to wearing the ring during the postpartum period, including difficulties managing the newborn, forgetfulness, and concerns about scratching the baby's skin. The enrollment rate was 71.42%, with an attrition rate of 6.25%. Thematic analysis of one-on-one interviews identified three main themes: personal desire for health improvement, social acceptability and support, and conditions influencing device/platform efficiency. In conclusion, while adherence varied based on gestational week and survey frequency, the study demonstrated strong acceptability of the smart monitoring platform among the study population, indicated by the high enrollment rate. Qualitative insights underscored the significance of personal motivation, social support, and device/platform efficiency in enhancing patient engagement with digital health monitoring during pregnancy, offering valuable considerations for future healthcare interventions in this domain.

Phenotyping the autonomic nervous system in pregnancy using remote sensors: potential for complication prediction.

Objectives: The autonomic nervous system (ANS) plays a central role in dynamic adaptation during pregnancy in accordance with the pregnancy demands which otherwise can lead to various pregnancy complications. Despite the importance of understanding the ANS function during pregnancy, the literature lacks sufficiency in the ANS assessment. In this study, we aimed to identify the heart rate variability (HRV) function during the second and third trimesters of pregnancy and 1 week after childbirth and its relevant predictors in healthy pregnant Latina individuals in Orange County, CA. Materials and methods: N = 16 participants were enrolled into the study from which N = 14 (N = 13 healthy and n = 1 complicated) participants proceeded to the analysis phase. For the analysis, we conducted supervised machine learning modeling including the hierarchical linear model to understand the association between time and HRV and random forest regression to investigate the factors that may affect HRV during pregnancy. A t-test was used for exploratory analysis to compare the complicated case with healthy pregnancies. Results: The results of hierarchical linear model analysis showed a significant positive relationship between time (day) and average HRV (estimated effect = 0.06; p < 0.0001), regardless of being healthy or complicated, indicating that HRV increases during pregnancy significantly. Random forest regression results identified some lifestyle and sociodemographic factors such as activity, sleep, diet, and mental stress as important predictors for HRV changes in addition to time. The findings of the t-test indicated that the average weekly HRV of healthy and non-healthy subjects differed significantly (p < 0.05) during the 17 weeks of the study. Conclusion: It is imperative to focus our attention on potential autonomic changes, particularly the possibility of increased parasympathetic activity as pregnancy advances. This observation may challenge the existing literature that often suggests a decline in parasympathetic activity toward the end of pregnancy. Moreover, our findings indicated the complexity of HRV prediction, involving various factors beyond the mere passage of time. To gain a more comprehensive understanding of this dynamic state, future investigations should delve into the intricate relationship between autonomic activity, considering diverse parasympathetic and sympathetic metrics, and the progression of pregnancy.

Impact of social support and mindfulness in the associations between perceived risk of COVID-19 acquisition and pregnancy outcomes in Iranian population: a longitudinal cohort study.

BACKGROUND AND AIMS: Various devastating infection outbreaks including COVID-19, threat both mother and fetus health. These life-threating outbreaks as potential harms are highly associated with relevant perceived risk. Social support and mindfulness are two factors that may moderate the associations between the perceived risk of COVID-19 and pregnancy outcomes. In this study we investigated the potential moderating impact of social support and mindfulness in the aforementioned association. METHODS: This study is a longitudinal cohort study in which 483 Iranian pregnant women in Tehran have been studied. Perceived risk of COVID-19 questions, Mindful Attention Awareness Scale (MAAS), and Multidimensional Scale of Perceived Social Support (MSPSS) were used through an online platform to assess the independent variables during pregnancy. Neonatal and maternal outcomes including gestational diabetes, gestational hypertension, preeclampsia, abortion, birth weight, and gestational age at birth, was extracted from Electronic Health Record (EHR) after childbirth as the dependent variables. The aim of the study is to investigate whether social support and mindfulness can affect the associations between perceived risk of Covid-19 acquisition and pregnancy outcomes. RESULTS: Perceived risk of COVID-19 was negatively associated with pregnancy outcomes including birth weight (-28, 95% CI [-53, -3.4], p < .05) and gestational age at birth (-0.9, 95% CI [-2,0.11], p < .05). However, social support could not moderate these associations. Mindfulness, on the other hand, moderated the association between perceived risk and stillbirth meaning that by increasing mindfulness, the association between the perceived risk and stillbirth may also be increased (OR = 0.03; p < .05). CONCLUSION: The findings of this study showed that social support lacks the moderating impact on the association between perceived risk of COVID-19 and pregnancy outcomes. Mindfulness, on the other hand, indicate a positive moderating impact for the association between perceived risk of Covid-19 and stillbirth. More studies in different populations are suggested to investigate the impact of mindfulness and social support on the association between perceived risk and pregnancy outcomes.

What constitutes philosophical activity in nursing? Toward a definition of nursing philosophy based on an interpretive synthesis of the recent literature.

Nursing claims a significant history of engaging philosophical inquiry. To better understand the rationale for this engagement, and what nursing understands itself to achieve through philosophical inquiry, we conducted an interpretive synthesis of the recent nursing literature to identify what nurses are doing when they say they are doing philosophy. The overarching finding was that while vanishingly few articles articulated any definition of philosophy, the synthesis showed how nursing considers philosophical engagement a generative mode for asking and answering questions in/for nursing. Whatever aspects of nursing were focused on in these articles, and they were myriad, philosophy was invoked as an appropriate modality to work through that aspect rigorously, critically, and with an expectation that something "knowledgeable" would result from the effort. Based on the synthesis, we conclude that nursing philosophy could be considered a specific modality of nursing practice by which nursing is both done and delineated, a discursive practice in which we continually assess and explore and adapt and advance our understanding of the discipline in service to advancing our unique efficacy. This definition of "nursing philosophy" provides an opening for further inquiry helping to illuminate its functionalities and potentialities for outputs that can facilitate rigorous practice, education, and scholarship.

Heart Rate Variability and Pregnancy Complications: Systematic Review.

BACKGROUND: The autonomic nervous system (ANS) is known as a critical regulatory system for pregnancy-induced adaptations. If it fails to function, life-threatening pregnancy complications could occur. Hence, understanding and monitoring the underlying mechanism of action for these complications are necessary. OBJECTIVE: We aimed to systematically review the literature concerned with the associations between heart rate variability (HRV), as an ANS biomarker, and pregnancy complications. METHODS: We performed a comprehensive search in the PubMed, Medline Completion, CINAHL Completion, Web of Science Core Collection Classic, Cochrane Library, and SCOPUS databases in February 2022 with no time span limitation. We included studies concerned with the association between any pregnancy complications and HRV, with or without a control group. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guideline was used for the review of the studies, and Covidence software was used for the study selection process. For data synthesis, we used the guideline by Popay et al. RESULTS: Finally, 12 studies with 6656 participants were included. Despite the methodological divergency that hindered a comprehensive comparison, our findings suggest that ANS is linked with some common pregnancy complications including fetal growth. However, existing studies do not support an association between ANS and gestational diabetes mellitus. Studies that linked pulmonary and central nervous system disorders with ANS function did not provide enough evidence to draw conclusions. CONCLUSIONS: This review highlights the importance of understanding and monitoring the underlying mechanism of ANS in pregnancy-induced adaptations and the need for further research with robust methodology in this area.

Machine Learning Approach for Preterm Birth Prediction Using Health Records: Systematic Review.

BACKGROUND: Preterm birth (PTB), a common pregnancy complication, is responsible for 35% of the 3.1 million pregnancy-related deaths each year and significantly affects around 15 million children annually worldwide. Conventional approaches to predict PTB lack reliable predictive power, leaving >50% of cases undetected. Recently, machine learning (ML) models have shown potential as an appropriate complementary approach for PTB prediction using health records (HRs). OBJECTIVE: This study aimed to systematically review the literature concerned with PTB prediction using HR data and the ML approach. METHODS: This systematic review was conducted in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. A comprehensive search was performed in 7 bibliographic databases until May 15, 2021. The quality of the studies was assessed, and descriptive information, including descriptive characteristics of the data, ML modeling processes, and model performance, was extracted and reported. RESULTS: A total of 732 papers were screened through title and abstract. Of these 732 studies, 23 (3.1%) were screened by full text, resulting in 13 (1.8%) papers that met the inclusion criteria. The sample size varied from a minimum value of 274 to a maximum of 1,400,000. The time length for which data were extracted varied from 1 to 11 years, and the oldest and newest data were related to 1988 and 2018, respectively. Population, data set, and ML models' characteristics were assessed, and the performance of the model was often reported based on metrics such as accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve. CONCLUSIONS: Various ML models used for different HR data indicated potential for PTB prediction. However, evaluation metrics, software and package used, data size and type, selected features, and importantly data management method often remain unjustified, threatening the reliability, performance, and internal or external validity of the model. To understand the usefulness of ML in covering the existing gap, future studies are also suggested to compare it with a conventional method on the same data set.

The Anti-Inflammatory Properties of the Topical Application of Human Milk in Dermal and Optical Diseases.

METHODS: The various datasets including Ovid, PubMed, Google Scholar, Science Direct, Magiran, Irandoc, SID, and IranMedex were searched from 1990 to 2018. From the 119 reviewed articles, 20 articles were selected to be included in the current article. RESULTS: There is a consensus among the literature and ancient texts regarding the effectiveness of THM in curing the various types of skin damages, such as cord separation, atopic dermatitis, diaper dermatitis, conjunctivitis, scratches, insect bite, perineal ulcer, and nipple ulcer. However, the importance of its application has not been given much attention. CONCLUSION: According to the information obtained from the articles reviewed, the THM appears to be an effective, safe, and available treatment compared to conventional chemical treatments. This study suggests THM as an alternative remedy to minimize the frequent use of chemical-based treatments. More research may be beneficial to reach certainty in terms of curative properties of THM in similar or different injuries in different populations.

Comparison the effects of topical application of olive and calendula ointments on Children's diaper dermatitis: A triple-blind randomized clinical trial.

This study compares the effective of of topical application of olive and calendula ointments on childrens' diaper dermatitis (DD). This triple-blind clinical trial was conducted on 73 healthy children under the age of 2 years with non-severe and not infected DD, referred to a pediatric healthcare center in Tabriz, Iran. The children were assigned to 1.5% olive ointment (n = 37) and 1.5% calendula ointment (n = 39) using a random block method with the ratio of 2:2. The severity of DD in both groups was measured and compared on a six-point scale on days 0 (before the intervention) and 3, 5, and 7 after interventions. The findings releaved there was not significant stastistical difference between the olive oil and calendula groups in terms of severity of DD in the third, fifth and seventh days. No adverse effect was reported from either of the medications in this study. The external validity and consequently the ability to generalize the findings may be diminished as this study was conducted at a single site. Owing to olive ointment and calendula ointment providing the same results in the healing of DD, olive ointment can be used as an alternative case to DD.