The objective of this review is to assess and synthesize the role of the maternal and child health (MCH) handbook on improving healthcare service utilization, behavior change, and health outcomes for women and children. A systematic search of all relevant existing reports was conducted on 14 January 2021, using the following online bibliographic databases: PubMed, EMBASE, MEDLINE, The Cochrane Library, Academic Search Premier, Emcare, APA PsycINFO, and Web of Science. Two reviewers independently performed study selection, data extraction, and quality assessment. We included 7 trials from 1430 articles, and a total of 2643 women. As overall risk of bias assessment, most domains of the Cochrane risk-of-bias assessment tool showed a high or unclear risk of bias. The risk of ≥6 antenatal care (ANC) visits was 19% higher (RR 1.19, 95% CI 1.09 to 1.30, I2 = 47%, 2 studies, 955 women, moderate certainty of evidence) and skilled birth attendants during delivery was 13% higher (RR 1.13, 95% CI 1.04 to 1.24, I2 = 0%, 2 studies, 1094 women, low certainty of the evidence) in the intervention group than in the control group. The MCH handbook can increase maternal health service utilization and early breastfeeding practice. It also leads to a sense of autonomy during ANC, better communication with healthcare providers, and support from family members.

The Covid-19 pandemic has forced changes in our lifestyles and affected the relationships between father and infant. The aim of this study was to explore factors associated with father-infant bonding during the Covid-19 pandemic in Japan. This study was a cross-sectional study using a nationwide online survey data. The Japanese version of the Mother-to-Infant Bonding Scale (MIBS) was used for father-infant bonding. The study participants were divided into two groups depending on their partners’ parity. A linear regression model (Gauss-Markov-type) was used for the two groups. A total of 1,055 men were included in the analysis. Of these men, 521 (49.4%) had a partner who was primipara, and 534 (50.6%) had a partner who was multipara. No significant differences were found between the two groups for MIBS-J scores. The fathers’ mental health, relationship with the partner and family members, abusive behavior towards children, wanted pregnancy, and admission history to NICU for the youngest child were associated with father-infant bonding. As for factors related to Covid-19, caring for the child while the partner is at home has a negative impact on bonding, while fear related to infection with Covid-19 has no negative impact on the bonding.

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

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