Background: Women often experience many unique health issues and conditions throughout their working lives. The Internet of Things (IoT) is a system of interrelated digital devices that can enable data exchanges over a network without human-to-human or human-to-computer interaction. The usage of applications and IoT in improving women’s health has recently increased worldwide. However, there has been no consensus on the effectiveness of IoT in improving women’s health outcomes. Objective: This systematic review and network meta-analysis (NMA) aims to assess and synthesize the role of apps and the IoT in improving women’s health and to identify the ranking of interventions for ensuring better results for each stated outcome. Methods: Our systematic review and NMA will be conducted in accordance with the guidelines of the Cochrane Handbook. We will comprehensively search the following electronic databases: PubMed (including MEDLINE), Cochrane Central Register of Controlled Trials, Embase, Cumulative Index to Nursing and Allied Health Literature (ie, CINAHL), PsycINFO, ClinicalTrials.gov, and the World Health Organization International Clinical Trials Registry, along with other resources to identify relevant randomized controlled trials that have assessed the effects of various apps and the IoT with regard to improving working-aged women’s health in high-income countries. We will segment and analyze the results of the included studies based on age categories (women undergoing a preconception period, those undergoing gestational and postpartum periods, and menopausal and pre- and postmenopausal women) and the medical history (women who have a specific medical condition—eg, cancer or diabetes—and women who do not have them) separately. Two independent reviewers will perform the study selection, data extraction, and quality assessment. Our primary outcomes include health status, well-being, and quality of life. We will perform pairwise meta-analysis and NMA to estimate the direct, indirect, and relative effects of apps and the IoT on women’s health outcomes. We will also assess the hierarchy of interventions, statistical inconsistencies, and certainties of evidence for each outcome. Results: We plan to conduct the search in January 2023 and are currently discussing search strategies with the literature search specialists. The final report is planned for submission to a peer-reviewed journal in September 2023. Conclusions: To the best of our knowledge, this review will be the first to identify the ranking of IoT intervention for ensuring working-aged women’s health outcomes. These findings may be of great use to researchers, policy makers, and others with an interest in the field. Trial Registration: International Prospective Register of Systematic Reviews (PROSPERO) CRD42022384620; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=384620 International Registered Report Identifier (IRRID): PRR1-10.2196/45178

Background/Objectives: The Internet of Things (IoT), integrated with application software, has increasingly been used to support health management through monitoring indicators like physical activity, sleep, and heart rate, in pregnant and postpartum women. However, limited evidence exists regarding its effectiveness in improving health outcomes for pregnant and postpartum women. The objective of this systematic review and meta-analysis was to evaluate and synthesize the role of IoT in enhancing the health outcomes of pregnant and postpartum women. Methods: A systematic search was conducted on 13 February 2023, across CENTRAL, CINAHL, ClinicalTrials.gov, Embase, MEDLINE, PsycINFO, PubMed, and WHO ICTRP to identify all randomized controlled trials. Studies were included if they involved pregnant or postpartum women in high-income countries and used sensor-based data collection via smartphones or wearable devices. Two reviewers independently selected the studies, extracted data, and assessed the risk of bias using the Cochrane Collaboration’s risk of bias assessment tool 2.0. We performed a pairwise meta-analysis using a random effects model. The findings were reported according to PRISMA guidelines. Results: Seven studies with 1638 pregnant and postpartum women were included in this review. Of the seven included studies, half targeted women with gestational diabetes and the other half targeted obese women. A meta-analysis revealed that IoT interventions may reduce gestational weight gain in women with obesity with a mean difference of −3.35 kg (95% confidence interval (CI): −5.23 to−1.46; I² = 36%; two studies; 242 women; moderate certainty of evidence). Conclusions: This review suggested that IoT interventions may limit gestational weight gain in pregnant women with obesity. Future studies should evaluate the long-term effects of IoT-based interventions on maternal and neonatal health outcomes.

Background: Effective communication has potential benefits for children, their families, and healthcare professionals. Although communication skills training programs are essential for healthcare professionals, their effects remain unclear. Aim: This review summarized existing communication skills training programs and evaluated their impact on healthcare professionals’ behavior and the health outcomes of children with life-threatening conditions and their families. Design: This systematic review was performed in accordance with the Cochrane Handbook version 6.4. Data sources: On January 21, 2024, we searched the following databases: Cochrane Central Register of Controlled Trials, PubMed, MEDLINE, Embase, PsycINFO, and CINAHL. The included studies’ risk of bias was assessed using a revised Cochrane risk-of-bias tool for randomized controlled trials 2. Owing to insufficient data and high heterogeneity, we could not perform a meta-analysis, so the findings were described narratively. Results: We identified nine studies, which included various diseases, training programs, and outcome measurement tools and timings. Among the nine studies, five of the six studies that assessed healthcare professionals’ behaviors reported that the interventions had improved them (low certainty of evidence). Only two studies reported on the quality of life and anxiety experienced by children and their families, with no clear difference between intervention and control groups. Conclusions: Communication skills training for healthcare professionals may improve their behaviors toward children with life-threatening conditions and their families. Measurement tools and timings must be standardized. Future research should develop training programs and assess their impact on children and their families, incorporating the perspective of children.

Background/Objectives: There is increased advocacy for the potential for digital applications (apps) and the Internet of Things (IoT) to improve women’s health. We conducted a systematic review to assess and synthesise the role of Apps and the IoT in improving the health of non-pregnant women. Methods: Six databases were searched from inception to 13 February 2023. We included randomised controlled trials that assessed the effects of various Apps and the IoT with regard to improving the health of non-pregnant women in high-income countries. Our primary outcomes were health status and well-being or quality of life, and we assessed behaviour change as the secondary outcome. Screening, data extraction, and quality assessment were performed in duplicate. Study quality was assessed using the Cochrane Risk of Bias 2.0 tool. Narrative methods were used to synthesise study outcomes. Results: The search retrieved 18,433 publications and seven publications from six studies met the inclusion criteria. Participants included overweight or obese women, postmenopausal women, or women with stage I–III breast cancer. Intervention types varied across included studies but broadly included wearable or sensor-based personal health tracking digital technologies. The most commonly assessed intervention effect was on behaviour change outcomes related to promoting physical activity. Interventions administered yielded positive effects on health outcomes and well-being or quality of life in one study each, while three of the four studies that assessed behaviour change reported significant positive effects. Most included studies had methodological concerns, while study designs and methodologies lacked comparability. Conclusions: Based on our findings, the use of apps and the IoT may be promising for facilitating behaviour change to promote physical activity. However, more evidence is needed to assess the effectiveness of the IoT for improving health status, well-being and quality of life among non-pregnant women.

BACKGROUND In high-income countries, numerous health issues faced by women during pregnancy and the postpartum period are linked to everyday lifestyle habits such as diet, exercise, and sleep. To enhance women's lifestyle behaviors and health management, there has been an increasing integration of the Internet of Things (IoT) with application software. IoT has been widely used to monitor specific health indicators, including physical activity, sleep patterns, and heart rate, in pregnant and postpartum women. However, there are few reviews evaluating the effectiveness of IoT in improving health outcomes in women during pregnancy and the postpartum period. OBJECTIVE The objective of this systematic review and meta-analysis was to evaluate and synthesize the role of IoT in enhancing the health outcomes of pregnant and postpartum women. METHODS A systematic search was conducted on February 13, 2023, across CENTRAL, CINAHL, ClinicalTrials.gov, Embase, MEDLINE, PsycINFO, PubMed, and WHO ICTRP to identify all randomized controlled trials. The studies included pregnant or postpartum women in high-income countries and interventions involving the application of data collection and monitoring using sensors in smartphones and wearable devices. Two reviewers independently selected the studies, extracted data, and assessed the risk of bias. The Cochrane Collaboration's risk of bias assessment tool 2.0 was used to evaluate the risk of bias. We performed a pairwise meta-analysis using a fixed effects model when the between-study heterogeneity was low. The Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach was employed to assess the certainty of evidence. The findings were reported according to the preferred reporting items for systematic review and meta-analysis (PRISMA) guidelines. RESULTS Eight studies, comprising a total of 2,028 pregnant and postpartum women, were included in this review. Of the eight included studies, half targeted women with gestational diabetes and the other half targeted obese women. A meta-analysis revealed that IoT interventions may limit gestational weight gain in women with obesity. The intervention groups showed 3.27 kg less weight gain during pregnancy than the control groups (mean difference [MD], -3.27; 95% confidence interval [CI], -4.76– -1.79; I² = 36%; two studies; 242 women; moderate certainty of evidence). Body fat percentage in postpartum women was 0.35% lower in the intervention than in the control groups (MD, -0.35; 95% CI, -0.62– -0.07; I² = 53%; three studies; 1511 women; low certainty of evidence). CONCLUSIONS This review suggested that IoT interventions may limit gestational weight gain in pregnant women with obesity and reduce postpartum body fat in women with weight issues or gestational diabetes. Future studies should evaluate maternal and newborn health outcomes with IoT interventions. CLINICALTRIAL PROSPERO (register number: CRD42022384620) INTERNATIONAL REGISTERED REPORT RR2-10.2196/45178

BACKGROUND Women often experience many unique health issues and conditions throughout their working lives. The Internet of Things (IoT) is a system of interrelated digital devices that can enable data exchanges over a network without human-to-human or human-to-computer interaction. The usage of applications and IoT in improving women’s health has recently increased worldwide. However, there has been no consensus on the effectiveness of IoT in improving women’s health outcomes. OBJECTIVE This systematic review and network meta-analysis (NMA) aims to assess and synthesize the role of apps and the IoT in improving women’s health and to identify the ranking of interventions for ensuring better results for each stated outcome. METHODS Our systematic review and NMA will be conducted in accordance with the guidelines of the Cochrane Handbook. We will comprehensively search the following electronic databases: PubMed (including MEDLINE), Cochrane Central Register of Controlled Trials, Embase, Cumulative Index to Nursing and Allied Health Literature (ie, CINAHL), PsycINFO, ClinicalTrials.gov, and the World Health Organization International Clinical Trials Registry, along with other resources to identify relevant randomized controlled trials that have assessed the effects of various apps and the IoT with regard to improving working-aged women’s health in high-income countries. We will segment and analyze the results of the included studies based on age categories (women undergoing a preconception period, those undergoing gestational and postpartum periods, and menopausal and pre- and postmenopausal women) and the medical history (women who have a specific medical condition—eg, cancer or diabetes—and women who do not have them) separately. Two independent reviewers will perform the study selection, data extraction, and quality assessment. Our primary outcomes include health status, well-being, and quality of life. We will perform pairwise meta-analysis and NMA to estimate the direct, indirect, and relative effects of apps and the IoT on women’s health outcomes. We will also assess the hierarchy of interventions, statistical inconsistencies, and certainties of evidence for each outcome. RESULTS We plan to conduct the search in January 2023 and are currently discussing search strategies with the literature search specialists. The final report is planned for submission to a peer-reviewed journal in September 2023. CONCLUSIONS To the best of our knowledge, this review will be the first to identify the ranking of IoT intervention for ensuring working-aged women’s health outcomes. These findings may be of great use to researchers, policy makers, and others with an interest in the field. CLINICALTRIAL International Prospective Register of Systematic Reviews (PROSPERO) CRD42022384620; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=384620 INTERNATIONAL REGISTERED REPORT PRR1-10.2196/45178