Mobile Phone-Based Behavioral Interventions in Pregnancy to Promote Maternal and Fetal Health in High-Income Countries: Systematic Review

mHealth use during pregnancy: A systematic review

BACKGROUND

The use of mobile health (mHealth) therapies during pregnancy has aroused increasing attention. The objective of this study was to systematically evaluate the effects of mHealth interventions on pregnant women's quality of life and pregnancy outcomes, with specific attention to psychosocial health.

SEARCH STRATEGY

We performed a systematic review of the literature published between 2013 and 2023 from eight databases.

SELECTION CRITERIA

English-language original articles released in 2013-2023 on the use of modern technology in caring for pregnant women, and articles with the subject matter pregnant and financially independent women.

DATA COLLECTION AND ANALYSIS

The data focused on the intervention parameters defined as those that increase the frequency of medical examination attendance, including follow-up, and improve the level of health education, compliance with medical preventive procedures, and participation in health events.

MAIN RESULTS

Our results demonstrated that the quality of life of pregnant women using mHealth improved in the specified areas. These interventions, including various tools such as text messaging, voice calls, mobile applications, and wearable devices, have been shown to improve maternal and fetal health outcomes, particularly in low-resource settings, by providing educational resources, monitoring maternal and fetal health status, and increasing adherence to treatment plans.

CONCLUSION

The implementation of mHealth interventions during pregnancy can enhance the overall quality of healthcare and provide more promising pregnancy outcomes. Further investigation is needed to find the optimum types of mHealth intervention and how they can be integrated into existing healthcare systems.

Examining digital care relationships of medicaid participants in the pre/postnatal care period: a qualitative study

BACKGROUND

Underserved populations in the United States are at higher risk for poor maternal health outcomes. New models of care, such as telehealth, can offer additional support, including access to care 24/7/365 days a year; however, little is known about their impact on nurse-patient relationships. This study aimed to explore the perspectives of patients and nurses (registered and advanced practice registered nurses) on the relationships established through a telehealth program for pregnant and postpartum women.

METHODS

A qualitative, descriptive, longitudinal study was conducted between December 2022 and December 2023. Semi-structured interviews were completed with 28 individuals in the first year after the program's launch. Among the participants, 23 were pregnant or postpartum women enrolled in a pregnancy and postpartum support program, and five were nurses involved in delivering the program. The semi-structured interviews were conducted remotely using a phone or an online platform. The interviews were analyzed using thematic analysis.

RESULTS

Two major themes, Therapeutic Nurse-Patient Relationships and Programmatic Aspects that Support Virtual Relationships, along with twelve subthemes, were identified. Participants felt that the programmatic aspects allowed them to create meaningful relationships with their care providers. In addition, the digital services offered a nonjudgmental and supportive method for women to receive care and education when and where they need it. From the nurses' standpoint, they felt that they could personalize the care for women without the time limitations typical in an in-person clinical encounter.

CONCLUSIONS

Supporting women through digital models of care can influence their engagement and relationships with their nurses. Findings show that both the women and the nurses reported being able to establish positive relationships, although they described them differently. As a result, women reported feeling comfortable accessing care and asking pregnancy-related questions, suggesting that telehealth programs can foster the development of therapeutic nurse-patient relationships.

Factors influencing healthy dietary behavior changes among patients with gestational diabetes mellitus during pregnancy: A meta-synthesis using the theoretical domains framework

AIMS

To examine factors that facilitate and impede healthy dietary behavior modification in patients with gestational diabetes mellitus (GDM). Additionally, it sought to assess the strength of the evidence for these factors and offer insights into promoting positive behaviors.

METHODS

This systematic review adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting standards. We searched seven databases in February 2023 to include qualitative studies related to patients with GDM that explored their perceptions of and changes in healthy eating behaviors. Two researchers independently screened the articles, assessed their quality, extracted data, and coded the factors using the theoretical domain framework. For the factors involved, we performed a meta-synthesis based on their frequency and assigned a confidence level to determine their level of evidence.

RESULTS

We included 32 of the 536 extracted articles. Barriers identified by high levels of evidence include: "Environmental context and resources," "Social influences," "Knowledge," "Emotion," and "Social/professional roles and Identity." The facilitators identified by high levels of evidence include the following: "Beliefs about consequences," "Social influences," "Environmental context and resources," "Skill," and "Memory, attention, and decision processes."

CONCLUSION

This meta-synthesis highlights that healthy eating behavior change is influenced by the interaction of factors at different levels of individuals, organizations, and sociocultural environments. Furthermore, we established a framework that displayed the associations between these factors, giving prominence to those with higher levels of evidence. This framework will aid researchers in identifying priority areas for intervention and facilitating the implementation of high-quality strategies.

Effects of a Mobile Health Intervention Based on Behavioral Integrated Model on Cognitive and Behavioral Changes in Gestational Weight Management: Randomized Controlled Trial

BACKGROUND

The key to gestational weight management intervention involves health-related behaviors, including dietary and exercise management. Behavioral theory-based interventions are effective in improving health-related behaviors. However, evidence for mobile health interventions based on specific behavioral theories is insufficient and their effects have not been fully elucidated.

OBJECTIVE

This study aimed to examine the effects of a gestational mobile health intervention on psychological cognition and behavior for gestational weight management, using an integrated behavioral model as the theoretical framework.

METHODS

This study was conducted in a tertiary maternity hospital and conducted as a single-blind randomized controlled trial (RCT) in Changzhou, Jiangsu Province, China. Using the behavioral model, integrated with the protection motivation theory and information-motivation-behavioral skills model (PMT-IMB model), the intervention group received a mobile health intervention using a self-developed app from 14 to 37 gestational weeks, whereas the control group received routine guidance through the application. Psychological cognition and behaviors related to weight management during pregnancy were the main outcomes, which were measured at baseline, and at the second and third trimesters of pregnancy using a self-designed questionnaire. Generalized estimation and regression equations were used to compare the outcome differences between the intervention and control groups.

RESULTS

In total, 302 (302/360, 83.9%) participants underwent all measurements at 3 time points (intervention group: n=150; control group: n=152). Compared with the control group, the intervention group had significantly higher scores for information, perceived vulnerability, response cost, and exercise management in the second trimester, while their scores for perceived vulnerability, response cost, and diet management were significantly higher in the third trimester. The results of repeated measures analysis revealed that, in psychological cognition, the information dimension exhibited both the time effects (T3 β=3.235, 95% CI 2.859-3.611; P<.001) and the group effects (β=0.597, 95% CI 0.035-1.158; P=.04). Similarly, response costs demonstrated both the time effects (T3 β=0.745, 95% CI 0.199-1.291; P=.008) and the group effects (β=1.034, 95% CI 0.367-1.700; P=.002). In contrast, perceived vulnerability solely exhibited the group effects (β=0.669, 95% CI 0.050-1.288; P=.03). Regarding weight management behaviors, both time (T3 β=6, 95% CI 4.527-7.473; P<.001) and group (β=2.685, 95% CI 0.323-5.047; P=.03) had statistically significant impacts on the total points. Furthermore, the exercise management dimension also demonstrated both the time effects (T3 β=3.791, 95% CI 2.999-4.584; P<.001) and the group effects (β=1.501, 95% CI 0.232-2.771; P=.02).

CONCLUSIONS

The intervention program was effective in increasing psychological cognitions in terms of information, perceived vulnerability, and response costs, as well as promoting healthy behaviors among Chinese pregnant women. This study provides new evidence supporting the effectiveness of mobile intervention based on behavioral science theory in gestational weight management.

TRIAL REGISTRATION

Chinese Clinical Trial Registry ChiCTR2100043231; https://www.chictr.org.cn/showproj.html?proj=121736.

Home blood pressure monitoring and mobile health application practices among pregnant persons with and at risk of hypertensive disorders of pregnancy

OBJECTIVES

To examine training in and current home blood pressure monitoring (HBPM) practices in pregnancies with hypertensive disorders of pregnancy (HDP) or risk factors for HDP; and to explore interest in using mHealth applications for communicating with healthcare providers.

STUDY DESIGN

A cross-sectional survey was conducted on HBPM practices/training and interest in using mobile health (mHealth) applications among pregnant persons at an academic medical center.

OUTCOME MEASURES

The main outcomes measured were the proportion of participants who received training for HBPM, and the proportion interested in using mHealth applications for communication with providers related to managing HDP.

RESULTS

Of the 103 participants, 41 (39.8%) used HBPM. Of those who did HBPM, 36.6% received training from their healthcare providers. Training more often included instructions on positioning and how to perform HBPM, and rarely included advice on validated HBPM devices. Nearly all participants (98.1%) owned a smartphone, and 19.4% had a smartwatch. A significant majority expressed interest in using a secure mobile app for communication with providers (78.6%), and 88.3% were interested in wearing a smartwatch for remote monitoring. There were no significant differences in interest levels based on race, age, residence, or education, while there was higher interest (100% vs. 67%) in mobile apps for communication among those with HDP vs. risk factors for HDP.

CONCLUSIONS

Despite a low level of training for HBPM, there was high interest in using mHealth applications. Leveraging mHealth technology could help overcome the challenges of providing training for HBPM.

Attitudes, Beliefs, and Predictors of Gestational Weight Gain and Postpartum Weight Retention in South Africa: A Mixed Methods Analysis

Suboptimal gestational weight gain (GWG) is associated with pregnancy complications and postpartum weight retention (PPWR). Little data exists about GWG and PPWR attitudes and beliefs in low-and-middle-income countries (LMICs) to inform interventions. We examined GWG and PPWR attitudes, beliefs, and intentions among pregnant people, with and without HIV, in Cape Town, South Africa. Pregnant persons were enrolled between 2019 and 2022 (N = 400). Study visits were conducted at 24-28 weeks' and 33-38 weeks' gestation. Rate of GWG (kg/week) between the second and third trimesters was estimated and reported as below, above, or within the 2009 Institute of Medicine guidelines. Multivariable-multinomial regression estimated predictors of GWG. In-depth interviews among pregnant participants, community leaders and healthcare providers informed GWG attitudes, beliefs, and perceptions. Over 90% of participants experienced suboptimal rates of GWG (35% below and 47% above guidelines) during pregnancy. Living with HIV [OR 0.50, 95% CI (0.26-0.95)] was protective against GWG rate above guidelines compared to those without HIV. Being 25-29 years old was associated with GWG rate below guidelines [OR 0.28 95% CI (0.08-0.95)]. Little concordance occurred between intended and true GWG. Despite GWG category, two-thirds of participants felt it was 'very important' to monitor GWG while 44% viewed losing weight gained during pregnancy as "not important". Barriers to meeting GWG goals included lack of access to healthy foods, exercise opportunities, and education. Given rising obesity in women of reproductive age in LMIC, locally-adapted interventions are needed during pregnancy and postpartum to aide in healthy GWG and improve maternal-child health outcomes.

Interactive Conversational Agents for Perinatal Health: A Mixed Methods Systematic Review

Background: Interactive conversational agents (chatbots) simulate human conversation using natural language processing and artificial intelligence. They enable dynamic interactions and are used in various fields, including education and healthcare. Objective: This systematic review aims to identify and synthesize studies on chatbots for women and expectant parents in the preconception, pregnancy, and postnatal period through 12 months postpartum. Methods: We searched in six electronic bibliographic databases (MEDLINE (Ovid), CINAHL (EBSCO), Embase, Web of Science, Inspec, and IEEE Xplore) using a pre-defined search strategy. We included sources if they focused on women in the preconception period, pregnant women and their partners, mothers, and fathers/coparents of babies up to 12 months old. Two reviewers independently screened studies and all disagreements were resolved by a third reviewer. Two reviewers independently extracted and validated data from the included studies into a standardized form and conducted quality appraisal. Results: Twelve studies met the inclusion criteria. Seven were from the USA, with others from Brazil, South Korea, Singapore, and Japan. The studies reported high user satisfaction, improved health intentions and behaviors, increased knowledge, and better prevention of preconception risks. Chatbots also facilitated access to health information and interactions with health professionals. Conclusion: We provide an overview of interactive conversational agents used in the perinatal period and their applications. Digital interventions using interactive conversational agents have a positive impact on knowledge, behaviors, attitudes, and the use of health services. Interventions using interactive conversational agents may be more effective than those using methods such as individual or group face-to-face delivery.

Implementing weight management during and after pregnancy to reduce diabetes and CVD risk in maternal and child populations

Maintaining a healthy weight during pregnancy is critical for both women's and children's health. Excessive gestational weight gain (GWG) can lead to complications such as gestational diabetes, hypertension and caesarean delivery. Insufficient GWG can cause fetal growth restriction and increase infant mortality risk. Additionally, postpartum weight retention raises risk of obesity, type 2 diabetes and other chronic diseases for both mother and child. This review seeks to identify current obstacles in weight management research during and after pregnancy and explore evidence-based strategies to overcome them. Pregnancy offers a window of opportunity for health behaviour changes as women are more receptive to education and have regular contact with health services. Staying within Institute of Medicine's recommended GWG ranges is associated with better maternal and fetal outcomes. Systematic review evidence supports structured diet and physical activity pregnancy interventions, leading to reduced GWG and fewer complications. Health economic evaluation indicates significant returns from implementation, surpassing investment costs due to decreased perinatal morbidity and adverse events. However, the most effective way to implement interventions within routine antenatal care remains unclear. Challenges increase in the postpartum period due to competing demands on women physically, mentally and socially, hindering intervention reach and retention. Flexible, technology-supported interventions are needed, requiring frameworks such as penetration-implementation-participation-effectiveness and template-for-intervention-description-and-replication for successful implementation. Greater research efforts are necessary to inform practice and investigate fidelity aspects through pragmatic implementation trials during the pregnancy and postpartum periods. Understanding the best ways to deliver interventions will empower women to maintain a healthy weight during their reproductive years.

Impact of an mHealth intervention on parents' emotional health and on the neurodevelopment of high-risk infants

We assess the prenatal and postnatal effect of the High-Risk Pregnancy and Baby Parenting programme, which is complemented with two mHealth (app-based) resources. The GLM Repeated Measures Model technique was used to explore differences in the emotional health of the participants and in their infants' neurodevelopment, comparing programme versus usual care groups, composed of 150 and 195 participants, respectively. The mothers presented lower levels of depression (mean difference 1.74, p = 0.04, 95% CI 0.07, 3.40) and higher levels of resilience (mean difference 4.09, p = 0.004, 95% CI 1.40, 6.78). For the fathers, positive effects on resilience were recorded (p < 0.001). A positive treatment effect was perceived in the infants' cognitive (p = 0.014), language (p < 0.001) and motor (p = 0.006) development. These findings suggest application of the programme can benefit maternal emotional health and infant neurodevelopment. M-Health technology could make this programme more accessible.

Prenatal and Pediatric Primary Care-Based Child Obesity Prevention: Effects of Adverse Social Determinants of Health on Intervention Attendance and Impact

Background: Adverse social determinants of health (SDoHs), specifically psychosocial stressors and material hardships, are associated with early childhood obesity. Less is known about whether adverse SDoHs modify the efficacy of early childhood obesity prevention programs. Methods: We conducted a secondary analysis of publicly insured birthing parent-child dyads with Latino backgrounds participating in a randomized controlled trial of the Starting Early Program (StEP), a child obesity prevention program beginning in pregnancy. We measured baseline adverse SDoHs categorized as psychosocial stressors (low social support, single marital status, and maternal depressive symptoms) and material hardships (food insecurity, housing disrepair, and financial difficulties) individually and cumulatively in the third trimester. Logistic regression models tested effects of adverse SDoHs on StEP attendance. We then tested whether adverse SDoHs moderated intervention impacts on weight at age 2 years. Results: We observed heterogeneous effects of adverse SDoHs on outcomes in 358 parent-child dyads. While housing disrepair decreased odds of higher attendance [adjusted odds ratio (aOR) 0.52, 95% confidence interval (CI): 0.29-0.94], high levels of psychosocial stressors doubled odds of higher attendance (aOR 2.36, 95% CI: 1.04-5.34). Similarly, while certain adverse SDoHs diminished StEP impact on weight (e.g., housing disrepair), others (e.g., high psychosocial stress) enhanced StEP impact on weight. Conclusions: Effects of adverse SDoHs on intervention outcomes depend on the specific adverse SDoH. Highest engagement and benefit occurred in those with high psychosocial stress at baseline, suggesting that StEP components may mitigate aspects of psychosocial stressors. Findings also support integration of adverse SDoH assessment into strategies to enhance obesity prevention impacts on families with material hardships. Trial Registration: This study is registered on clinicaltrials.gov: Starting Early Obesity Prevention Program (NCT01541761); https://clinicaltrials.gov/ct2/show/NCT01541761.

Impact of Digital Health Interventions on Birth Equity: A Review

The rise in smartphone utilization and technology uptake has popularized digital health interventions as a means of supporting healthy pregnancies and optimizing maternal and child health. Digital health interventions include several modalities, such as telemedicine, remote patient monitoring, smartphone applications, web-based interventions, wearables, and health information technology. However, the impact of these interventions on improving maternal and infant health outcomes by race and socioeconomic status to achieve birth equity is unknown. This review summarizes current literature on the impact of digital health interventions on the outcomes of communities of color and lower socioeconomic status in the United States. We demonstrate there is emerging evidence of the impact of digital health interventions on maternal health outcomes, particularly for telemedicine, but evidence specifically focused on assessing outcomes by race and ethnicity and for other modalities, like mHealth apps or wearables, is limited. Digital health interventions may play a part in birth equity initiatives, but should not be considered a standalone solution, and instead should be integrated into other existing efforts to achieve birth equity, like diversifying the clinician workforce, expanding access to high-quality prenatal and postpartum care, or delivering respectful maternity care.

Women's perspectives on mHealth behavior change interventions for the management of overweight, obesity, or gestational diabetes: A qualitative meta-synthesis

mHealth interventions play an increasingly important role in health behavior change for gestational diabetes or peripartum obesity management. This qualitative systematic review and meta-synthesis aims to explore women's perceptions of mHealth behavior change interventions for gestational diabetes and/or overweight/obesity management during pregnancy and the postpartum period. Cumulative Index of Nursing and Allied Health Literature (CINAHL), Cochrane, Excerpta Medica Database (EMBASE), Medical Literature Analysis and Retrieval System Online (MEDLINE), and Psychological Information Database (PsycINFO) databases were searched using a Sample, Phenomenon of Interest, Design, Evaluation and Research type (SPIDER) concept framework through to February 2024. Included studies were quality assessed using the Critical Appraisal Skills Programme checklist. Study findings were evaluated using reflexive thematic analysis and GRADE-Confidence in the Evidence from Reviews of Qualitative Research (CERQual) checklist. We identified 29 studies, representing 604 women's views from one upper middle-income and nine high-income countries. Two themes were generated: mHealth as a supportive tool; and mHealth as a personalizable tool. Women highlighted the importance of self-monitoring, information trustworthiness, peer support, motivational tools (goal setting, risk awareness, and problem solving) and convenience in achieving behavior change using mHealth technology. They suggest mHealth programs incorporate these elements to support user engagement and improved health outcomes. Understanding what women want as mHealth users is particularly important for effective interventions in gestational diabetes, weight management, and chronic disease prevention. Creating a better, more woman-centered experience by addressing central engagement issues should result in improved maternal health outcomes.

Effectiveness of a Mobile Phone Messaging-Based Message Framing Intervention for Improving Maternal Health Service Uptake and Newborn Care Practice in Rural Jimma Zone, Ethiopia: Protocol for a Cluster Randomized Controlled Trial

BACKGROUND

Ethiopia has high rates of maternal and neonatal mortality. In 2019 and 2020, the maternal and newborn mortality rates were estimated at 412 per 1,000,000 births and 30 per 10,000 births, respectively. While mobile health interventions to improve maternal and neonatal health management have shown promising results, there are still insufficient scientific studies to assess the effectiveness of mobile phone messaging-based message framing for maternal and newborn health.

OBJECTIVE

This research aims to examine the effectiveness of mobile phone messaging-based message framing for improving the use of maternal and newborn health services in the Jimma Zone, Ethiopia.

METHODS

A 3-arm cluster-randomized trial design was used to evaluate the effects of mobile phone-based intervention on maternal and newborn health service usage. The trial arms were (1) gain-framed messages (2) loss-framed messages, and (3) usual care. A total of 21 health posts were randomized, and 588 pregnant women who had a gestational age of 16-20 weeks, irrespective of their antenatal care status, were randomly assigned to the trial arms. The intervention consisted of a series of messages dispatched from the date of enrolment until 6-8 months. The control group received existing care without messages. The primary outcomes were maternal health service usage and newborn care practice, while knowledge, attitude, self-efficacy, iron supplementation, and neonatal and maternal morbidity were secondary outcomes. The outcomes will be analyzed using a generalized linear mixed model and the findings will be reported according to the CONSORT-EHEALTH (Consolidated Standards of Reporting Trials of Electronic and Mobile HEalth Applications and onLine TeleHealth) statement for randomized controlled trials.

RESULTS

Recruitment of participants was conducted and the baseline survey was administered in March 2023. The intervention was rolled out from May 2023 till December 2023. The end-line assessment was conducted in February 2024.

CONCLUSIONS

This trial was carried out to understand how mobile phone-based messaging can improve maternal and newborn health service usage. It provides evidence for policy guidelines around mobile health strategies to improve maternal and newborn health.

TRIAL REGISTRATION

Pan African Clinical Trials Registry PACTR202201753436676; https://tinyurl.com/ykhnpc49.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/52395.

Holistic preconception care: Providing real-time guidance via a mobile app to optimise maternal and child health

Introduction

Preconception is a critical period to optimise gamete function and early placental development, essential for successful conception and long-term maternal-child health. However, there is a lack of preconception services and consequently, global fertility rates continue to fall and mothers embark on their pregnancy journey in poor health. There is an urgent need to implement a holistic community-level preconception care programme to optimise risk factors for poor fecundability and improve long-term maternal-child health.

Method

We reviewed current evidence on fecundability lifestyle risk factors, the efficacy of existing preconception interventions and the use of digital platforms for health optimisation, to create a new digital-based preconception intervention model that will be implemented via an app. We present the theory, content and mode of delivery of this holistic model targeting couples planning for pregnancy.

Results

We propose a new model featuring a user-friendly mobile app, which enables couples to self-assess fecundability risks through a personalised risk score that drives a tailored management plan. This tiered management provides anticipatory guidance supported by evidence-based recommen-dations, and promotes ongoing engagement for behavioural optimisation and specialist referrals as required. Based on the health belief model, this new model delivered with a mobile app seeks to shift couples' perceptions about their susceptibility and severity of subfertility, benefits of making a change and barriers to change.

Conclusion

Our proposed digital-based intervention model via a mobile app stands to enhance preconcep-tion care by providing personalised risk assessments, real-time feedback and tiered management to optimise preconception reproductive health of couples. This model forms a reference content framework for future preconception care intervention delivery.

Interventions to improve the quality of maternal care in Ethiopia: a scoping review

Introduction

Quality improvement interventions have been part of the national agenda aimed at reducing maternal and neonatal morbidities and mortality. Despite different interventions, neonatal mortality and morbidity rates remain steady. This review aimed to map and synthesize the evidence of maternal and newborn quality improvement interventions in Ethiopia.

Methods

A scoping review was reported based on the reporting items for systematic reviews and meta-analysis extensions for the scoping review checklist. Data extraction, collation, and organization were based on the Joanna Briggs Institute manual of the evidence synthesis framework for a scoping review. The maternal and neonatal care standards from the World Health Organization and the Donabedian quality of health framework were used to summarize the findings.

Results

Nineteen articles were included in this scoping review. The review found that the studies were conducted across various regions of Ethiopia, with the majority published after 2013. The reviewed studies mainly focused on three maternal care quality interventions: mobile and electronic health (eHealth), quality improvement standards, and human resource mobilization. Moreover, the reviewed studies explored various approaches to quality improvement, such as providing training to healthcare workers, health extension workers, traditional birth attendants, the community health development army, and mothers and supplying resources needed for maternal and newborn care.

Conclusion

In conclusion, quality improvement strategies encompass community involvement, health education, mHealth, data-driven approaches, and health system strengthening. Future research should focus on the impact of physical environment, culture, sustainability, cost-effectiveness, and long-term effects of interventions. Healthcare providers' knowledge, skills, attitudes, satisfaction, and adherence to guidelines should also be considered.

Pregnancy mobile app use: A survey of health information practices and quality awareness among pregnant women in Australia

BACKGROUND

Health-related mobile applications (apps) have the potential to improve health knowledge and promote healthy behaviours during pregnancy. Pregnancy apps are popular and extensively used by consumers.

OBJECTIVE

This study investigates the usage patterns, decision-making criteria and concerns regarding the quality and credibility of health-related information within pregnancy mobile applications. The aim of this study is to understand consumer perspectives to potentially contribute to guidelines for apps containing health-related information.

DESIGN

A cross-sectional study, utilising an online questionnaire for data collection.

METHODS

The study surveyed pregnant women in Australia who were recruited via online platforms, including social media and paid Facebook ads. Participants completed a 29-item questionnaire assessing their use of pregnancy apps, sources of health information and perceptions of app quality and safety, with data collected and analysed using the Qualtrics platform and SPSS Statistics.

RESULTS

The survey was survey completed by 427 current-or-recently pregnant individuals, aged 18 or over and located in Australia. Overall, 62.3% were currently pregnant and 37.7% were recently pregnant, within 6 months. Medical practitioners were the primary source of pregnancy-related health information, and pregnancy apps were the third most common source. Pregnancy apps were considered to be a trustworthy source of information by 63.8% of respondents and the majority used apps during pregnancy (94.2%). Of those who used pregnancy apps (n = 325), information being safe and trustworthy was their top priority when selecting an app. However, 35.5% (n = 115) had encountered information in an app they felt was unsafe or conflicted with previous knowledge or advice. Only 4.6% (n = 15) were aware that health-related apps are not screened for accurate information/undergo quality assurance checks before being made available to download. If provided with a guide to evaluate app quality, 74.6% (n = 241) would utilise the tool.

CONCLUSIONS

These findings highlight a need to promote the critical assessment of health information within pregnancy apps and to develop resources to support consumers in doing so.

Effectiveness of smoking cessation interventions among pregnant women: An updated systematic review and meta-analysis

OBJECTIVE

To carry out a systematic review of systematic reviews with an update of the existing evidence relating to a broad range of smoking cessation interventions, including psycho-social, digital and pharmacologic interventions, for pregnant women.

DATA-SOURCES

Search was conducted in March 2022 in PubMed, EMBASE, and Cochrane in two stages: 1) a search of systematic reviews and meta-analyses, published from January 2012 through January 2022; 2) an update of those that fulfilled eligibility criteria reproducing the primary search strategy.

STUDY ELIGIBILITY CRITERIA

We selected randomized clinical trials (RCTs) that evaluated the effectiveness of pharmacological, digital, and psychosocial interventions in aged 18 years and over who were daily smokers, and compared these with routine care, less intense interventions or placebo.

STUDY APPRAISAL AND SYNTHESIS METHODS

Data from eligible studies were manually extracted by two authors and reviewed by a third. The quality of the reviews was evaluated using the AMSTAR scale, and risk of bias was measured with the Rob-2 tool and GRADE level of evidence.

RESULTS

The meta-analysis included 63 RCTs (n = 19849 women). The interventions found to be effective were: financial incentives (RR:1.77; 95%CI:1.21-2.58), counseling (RR:1.27; 95%CI:1.13-1.43) and long-term nicotine replacement therapy (NRT) (RR:1.53; 95%CI:1.16-2.01). Short-term NRT, bupropion, digital interventions, feedback, social support, and exercise showed no effectiveness. The GRADE level of evidence was moderate-to-high for all interventions, with the exception of long-term NRT.

CONCLUSIONS

Non-pharmacological interventions for smoking cessation are the most effective for pregnant women. The moderator analysis suggests that pregnant women of low socioeconomic status might benefit less from smoking cessation interventions than women of a high socioeconomic status. These women are usually heavier smokers that live in pro-smoking environments and could require more intensive and targeted interventions.

App-Supported Lifestyle Interventions in Pregnancy to Manage Gestational Weight Gain and Prevent Gestational Diabetes: Scoping Review

BACKGROUND

Excessive gestational weight gain (GWG) and gestational diabetes mellitus (GDM) are common pregnancy complications that have been shown to be preventable through the use of lifestyle interventions. However, a significant gap exists between research on pregnancy lifestyle interventions and translation into clinical practice. App-supported interventions might aid in overcoming previous implementation barriers. The current status in this emerging research area is unknown.

OBJECTIVE

This scoping review aims to provide a comprehensive overview of planned, ongoing, and completed studies on eHealth and mobile health (mHealth) app-supported lifestyle interventions in pregnancy to manage GWG and prevent GDM. The review assesses the scope of the literature in the field; describes the population, intervention, control, outcomes, and study design (PICOS) characteristics of included studies as well as the findings on GWG and GDM outcomes; and examines app functionalities.

METHODS

The scoping review was conducted according to a preregistered protocol and followed established frameworks. Four electronic databases and 2 clinical trial registers were systematically searched. All randomized and quasi-randomized controlled trials (RCTs) of app-supported lifestyle interventions in pregnancy and related qualitative and quantitative research across the different study phases were considered for inclusion. Eligible studies and reports of studies were included until June 2022. Extracted data were compiled in descriptive analyses and reported in narrative, tabular, and graphical formats.

RESULTS

This review included 97 reports from 43 lifestyle intervention studies. The number of published reports has steadily increased in recent years; of the 97 included reports, 38 (39%) were trial register entries. Of the 39 identified RCTs, 10 efficacy or effectiveness trials and 8 pilot trials had published results on GWG (18/39, 46%); of these 18 trials, 7 (39%) trials observed significant intervention effects on GWG outcomes. Of all 39 RCTs, 5 (13%) efficacy or effectiveness trials reported GDM results, but none observed significant intervention effects on GDM. The RCTs included in the review were heterogeneous in terms of their PICOS characteristics. Most of the RCTs were conducted in high-income countries, included women with overweight or obesity and from all BMI categories, delivered multicomponent interventions, delivered interventions during pregnancy only, and focused on diet and physical activity. The apps used in the studies were mostly mHealth apps that included features for self-monitoring, feedback, goal setting, prompts, and educational content. Self-monitoring was often supported by wearable activity monitors and Bluetooth-connected weight scales.

CONCLUSIONS

Research in this field is nascent, and the effectiveness and implementability of app-supported interventions have yet to be determined. The complexity and heterogeneity of intervention approaches pose challenges in identifying the most beneficial app features and intervention components and call for consistent and comprehensive intervention and outcome reporting.

Pilot study of attentional retraining for postpartum smoking relapse

Introduction

Tobacco smoking is a leading cause of preventable death worldwide. The perinatal period provides a unique opportunity for intervention, as many smokers quit smoking during pregnancy but relapse postpartum. Novel relapse prevention interventions that reduce the burden of treatment attendance in this population are needed. Attentional retraining (AR) has been shown to reduce attentional biases toward smoking-related stimuli, a cognitive process implicated in smoking, AR has not been applied to perinatal smokers, and the effect of AR on craving and smoking is not clear. The goal of this study was to evaluate the delivery of AR for smoking cues in perinatal smokers utilizing a mobile intervention.

Methods

This pilot study utilized Ecological Momentary Assessment (EMA) methodology delivered on a mobile device to examine the relapse process and evaluate the utility of AR in former smokers attempting to remain abstinent postpartum. AR (or Control Training) was administered to abstinent smokers (N = 17) for up to 2 weeks both before and after delivery.

Results

All 17 participants completed the study. There was evidence that AR reduced attentional bias in the AR group (vs. Controls). There was no evidence that AR reduced craving. An exploratory analysis revealed that there was no evidence that AR reduced smoking during the study period.

Discussion

AR using EMA methodology via a mobile device is feasible in perinatal smokers. Further research using larger samples is required to evaluate the utility of mobile AR in reducing craving and smoking.

Non-pharmacological interventions for smoking cessation: analysis of systematic reviews and meta-analyses

BACKGROUND

Although non-pharmacological smoking cessation measures have been widely used among smokers, current research evidence on the effects of smoking cessation is inconsistent and of mixed quality. Moreover, there is a lack of comprehensive evidence synthesis. This study seeks to systematically identify, describe, and evaluate the available evidence for non-pharmacological interventions in smoking populations through evidence mapping (EM), and to search for best-practice smoking cessation programs.

METHODS

A comprehensive search for relevant studies published from the establishment of the library to January 8, 2023, was conducted in PubMed, Web of Science, Embase, the Cochrane Library, CNKI, CBM, Wan Fang, and VIP. Two authors independently assessed eligibility and extracted data. The PRISMA statement and AMSTAR 2 tool were used to evaluate the report quality and methodology quality of systematic reviews/meta-analyses (SRs/MAs), respectively. Bubble plots were utilized to display information, such as the study population, intervention type, evidence quality, and original study sample size.

RESULTS

A total of 145 SRs/MAs regarding non-pharmacological interventions for smoking cessation were investigated, with 20 types of interventions identified. The most commonly used interventions were cognitive behaviour education (n = 32, 22.07%), professional counselling (n = 20, 13.79%), and non-nicotine electronic cigarettes (e-cigarettes) (n = 13, 8.97%). Among them, counselling and behavioural support can improve smoking cessation rates, but the effect varies depending on the characteristics of the support provided. These findings are consistent with previous SRs/MAs. The general population (n = 108, 74.48%) was the main cohort included in the SRs/MAs. The total score of PRISMA for the quality of the reports ranged from 8 to 27, and 13 studies (8.97%) were rated as high confidence, and nine studies (6.21%) as moderate confidence, in the AMSTAR 2 confidence rating.

CONCLUSIONS

The abstinence effect of cognitive behaviour education and money incentive intervention has advantages, and non-nicotine e-cigarettes appear to help some smokers transition to less harmful replacement tools. However, the methodological shortcomings of SRs/MAs should be considered. Therefore, to better guide future practice in the field of non-pharmacological smoking cessation, it is essential to improve the methodological quality of SRs and carry out high-quality randomized controlled trials (RCTs).

A Complex mHealth Coaching Intervention to Prevent Overweight, Obesity, and Diabetes in High-Risk Women in Antenatal Care: Protocol for a Hybrid Type 2 Effectiveness-Implementation Study

BACKGROUND

Women with overweight and obesity are at higher risk of developing complications in pregnancy such as gestational diabetes and longer-term chronic conditions. Research concerning health behavior change interventions during pregnancy and postpartum shows promising effects, but implementation into routine services is sparsely investigated. Most interventions focus on the antenatal or postpartum life stages, failing to meet the needs of women. IMPACT DIABETES Bump2Baby is a multicenter project across 4 high-income countries developed to test the implementation of an antenatal and postpartum evidence-based mobile health (mHealth) coaching intervention called Bump2Baby and Me (B2B&Me) designed to sit alongside usual care in the perinatal period.

OBJECTIVE

We aim to explore the feasibility and implementation of the B2B&Me intervention and investigate the effectiveness of this intervention in women at risk of gestational diabetes.

METHODS

IMPACT DIABETES Bump2Baby is a hybrid type 2 effectiveness-implementation study, which integrates an evidence-based mHealth coaching app that includes personalized health behavior change coaching provided by health care professionals alongside antenatal care from the first antenatal visit to 12 months postpartum. The mHealth app offers the possibility of synchronous calls, asynchronous contact (including coach-participant text and video messaging exchanges tailored to the participant's needs), and ongoing access to an extensive library of bespoke intervention materials. Participants will interact asynchronously with their health coach throughout the intervention via the app. This randomized controlled trial across 4 clinical sites within Ireland, the United Kingdom, Spain, and Australia will recruit 800 women in early pregnancy to evaluate the effectiveness on postpartum weight. The Exploration, Preparation, Implementation, and Sustainment implementation framework is the theoretical underpinning of the study. The implementation evaluation will be assessed at the individual, hospital staff, and broader community levels using the Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework. Data sources for the RE-AIM evaluation will include app and platform analytics, screening and training records, participant medical records, key informant interviews, participant and partner exit interviews, cost data, study questionnaires, staff surveys, and blood sample analyses.

RESULTS

The study was approved and registered with the Australian New Zealand Clinical Trials Registry on November 19, 2020. Recruitment commenced on February 9, 2021, and data collection is ongoing. Publication of the results is expected in 2024.

CONCLUSIONS

This is the first hybrid effectiveness-implementation study of an 18-month mHealth coaching intervention in at-risk women that we are aware of. As research aims to move toward real-world implementable solutions, it is critical that hybrid studies are conducted. The data from this large multicenter study will be useful in planning the potential implementation and scale-up of evidence-based perinatal health behavior change interventions.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry ACTRN12620001240932; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=380020&isReview=true.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/51431.

Digital Parenting Interventions for Fathers of Infants From Conception to the Age of 12 Months: Systematic Review of Mixed Methods Studies

BACKGROUND

Digital interventions help address barriers to traditional health care services. Fathers play an important parenting role in their families, and their involvement is beneficial for family well-being. Although digital interventions are a promising avenue to facilitate father involvement during the perinatal period, most are oriented toward maternal needs and do not address the unique needs of fathers.

OBJECTIVE

This systematic review describes the digital interventions that exist or are currently being developed for fathers of infants from conception to 12 months postpartum.

METHODS

A systematic search of the MEDLINE, PsycINFO, Cochrane Central Register of Controlled Trials, Embase (using Ovid), and CINAHL (using EBSCO) databases was conducted to identify articles from database inception to June 2022, of which 39 met the inclusion criteria. Articles were included if they were peer-reviewed and described a digital intervention that targeted fathers of fetuses or infants aged ≤12 months. Systematic reviews, meta-analyses, and opinion pieces were excluded. Data from these studies were extracted and themed using a narrative synthesis approach. Quality appraisal of the articles was conducted using the Mixed Methods Appraisal Tool.

RESULTS

A total of 2816 articles were retrieved, of which 39 (1.38%) met the inclusion criteria for eligibility after removing duplicates and screening. Eligible articles included 29 different interventions across 13 countries. Most articles (22/29, 76%) described interventions that were exclusively digital. There were a variety of digital modalities, but interventions were most commonly designed to be delivered via a website or web-based portal (14/29, 48%). Just over half (21/39, 54%) of the articles described interventions designed to be delivered from pregnancy through the postpartum period. Only 26% (10/39) of the studies targeted fathers exclusively. A wide range of outcomes were included, with 54% (21/39) of the studies including a primary outcome related to intervention feasibility. Qualitative and mixed methods studies reported generally positive experiences with digital interventions and qualitative themes of the importance of providing support to partners, improving parenting confidence, and normalization of stress were identified. Of the 18 studies primarily examining efficacy outcomes, 13 (72%) reported a statistically significant intervention effect. The studies exhibited a moderate quality level overall.

CONCLUSIONS

New and expecting fathers use digital technologies, which could be used to help address father-specific barriers to traditional health care services. However, in contrast to the current state of digital interventions for mothers, father-focused interventions lack evaluation and evidence. Among the existing studies on digital interventions for fathers, there seem to be mixed findings regarding their feasibility, acceptability, and efficacy. There is a need for more development and standardized evaluation of interventions that target father-identified priorities. This review was limited by not assessing equity-oriented outcomes (eg, race and socioeconomic status), which should also be considered in future intervention development.

SweetMama: Usability Assessment of a Novel Mobile Application Among Low-Income Pregnant People to Assist With Diabetes Management and Support

Background

Mobile health tools may be effective strategies to improve engagement, education, and diabetes-related health during pregnancy. We developed SweetMama, a patient-centered, interactive mobile application (app) designed to support and educate low-income pregnant people with diabetes. Our objective was to evaluate the SweetMama user experience and acceptability.

Methods

SweetMama is a mobile app with static and dynamic features. Static features include a customized homepage and resource library. Dynamic features include delivery of a theory-driven diabetes-specific curriculum via 1) motivational, tip, and goal-setting messages aligning with treatment and gestational age; 2) appointment reminders; and 3) ability to mark content as "favorite." In this usability assessment, low-income pregnant people with gestational or type 2 diabetes used SweetMama for 2 weeks. Participants provided qualitative feedback (via interviews) and quantitative feedback (via validated usability/satisfaction measures) on their experience. User analytic data detailed the duration and type of interactions users had with SweetMama.

Results

Of 24 individuals enrolled, 23 used SweetMama and 22 completed exit interviews. Participants were mostly non-Hispanic Black (46%) or Hispanic (38%) individuals. Over the 14-day period, users accessed SweetMama frequently (median number of log-ins 8 [interquartile range 6-10]), for a median of 20.5 total minutes, and engaged all features. A majority (66.7%) rated SweetMama as having moderate or high usability. Participants emphasized design and technical strengths and beneficial effects on diabetes self-management and also identified limitations of the user experience.

Conclusion

Pregnant people with diabetes found SweetMama to be user-friendly, informative, and engaging. Future work must study its feasibility for use throughout pregnancy and its efficacy to improve perinatal outcomes.

Improving Engagement in Antenatal Health Behavior Programs-Experiences of Women Who Did Not Attend a Healthy Lifestyle Telephone Coaching Program

Living Well during Pregnancy (LWdP) is a telephone-based antenatal health behavior intervention that has been shown to improve healthy eating behaviors and physical activity levels during pregnancy. However, one-third of eligible, referred women did not engage with or dropped out of the service. This study aimed to explore the experiences and perceptions of women who were referred but did not attend or complete the LWdP program to inform service improvements and adaptations required for scale and spread and improve the delivery of patient-centered antenatal care. Semi-structured telephone interviews were conducted with women who attended ≤2 LWdP appointments after referral. The interviews were thematically analyzed and mapped to the Theoretical Domains Framework and Behavior Change Wheel/COM-B Model to identify the barriers and enablers of program attendance and determine evidence-based interventions needed to improve service engagement and patient-centered antenatal care. Three key themes were identified: (1) the program content not meeting women's expectations and goals; (2) the need for flexible, multimodal healthcare; and (3) information sharing throughout antenatal care not meeting women's information needs. Interventions to improve women's engagement with LWdP and patient-centered antenatal care were categorized as (1) adaptations to LWdP, (2) training and support for program dietitians and antenatal healthcare professionals, and (3) increased promotion of positive health behaviors during pregnancy. Women require flexible and personalized delivery of the LWdP that is aligned with their individual goals and expectations. The use of digital technology has the potential to provide flexible, on-demand access to and engagement with the LWdP program, healthcare professionals, and reliable health information. All healthcare professionals are vital to the promotion of positive health behaviors in pregnancy, with the ongoing training and support necessary to maintain clinician confidence and knowledge of healthy eating, physical activity, and weight gain during pregnancy.

Effect of digital health, biomarker feedback and nurse or midwife-led counselling interventions to assist pregnant smokers quit: a systematic review and meta-analysis

OBJECTIVE

To assess the effect of digital health (DH), biomarker feedback (BF) and nurse or midwife-led counselling (NoMC) interventions on abstinence in pregnant smokers during pregnancy and postpartum.

SETTINGS

Any healthcare setting servicing pregnant women, including any country globally.

PARTICIPANTS

Pregnant women of any social, ethnic or geographical background who smoke.

METHODS

We searched Embase, Medline, Web Of Science, Google Scholar, PsychINFO, CINAHL and PubMed between 2007 and November 2021. We included published original intervention studies in English with comparators (usual care or placebo). Two independent assessors screened and abstracted data. We performed a random-effects meta-analysis, assessed risk of bias with the Cochrane Tool and used Grading of Recommendations Assessment, Development and Evaluation to assess the quality of evidence.

RESULTS

We identified 57 studies and included 54 in the meta-analysis. Sixteen studies assessed DH (n=3961), 6 BF (n=1643), 32 NoMC (n=60 251), 1 assessed NoMC with BF (n=1120) and 2 NoMC with DH interventions (n=2107). DH interventions had moderate certainty evidence to achieve continuous abstinence (CA) at late pregnancy (4 studies; 2049 women; RR=1.98, 95% CI 1.08 to 3.64, p=0.03) and low certainty evidence to achieve point prevalence abstinence (PPA) postpartum (5 studies; 2238 women; RR=1.46, 95% CI 1.05 to 2.02, p=0.02). NoMC interventions had moderate certainty evidence to achieve PPA in late pregnancy (15 studies; 16 234 women; RR=1.54, 95% CI 1.16 to 2.06, p<0.01) and low certainty evidence to achieve PPA postpartum (13 studies; 5466 women; RR=1.79, 95% CI 1.14 to 2.83, p=0.01). Both DH and BF interventions did not achieve PPA at late pregnancy, nor NoMC interventions achieve CA postpartum. The certainty was reduced due to risk of bias, heterogeneity, inconsistency and/or imprecision.

CONCLUSION

NoMC interventions can assist pregnant smokers achieve PPA and DH interventions achieve CA in late pregnancy. These interventions may achieve other outcomes.

The Impact of Digital Health on Smoking Cessation

BACKGROUND

Smartphones have become useful tools for medicine, with the use of specific apps making it possible to bring health care closer to inaccessible areas, continuously monitor a patient's pathology at any time and place, promote healthy habits, and ultimately improve patients' quality of life and the efficiency of the health care system. Since 2020, the use of smartphones has reached unprecedented levels. There are more than 350,000 health apps, according to a 2021 IQVIA Institute report, that address, among other things, the management of patient appointments; communication among different services or professionals; the promotion of lifestyle changes related to adopting healthy habits; and the monitoring of different pathologies and chronic conditions, including smoking cessation. The number of mobile apps for quitting smoking is high. As early as 2017, a total of 177 unique smoking cessation-relevant apps were identified in the iPhone App Store, 139 were identified in Google Play, 70 were identified in the BlackBerry app store, and 55 were identified in the Windows Phone Store, but very few have adequate scientific support. It seems clear that efforts are needed to assess the quality of these apps, as well as their effectiveness in different population groups, to have tools that offer added value to standard practices.

OBJECTIVE

This viewpoint aims to highlight the benefits of mobile health (mHealth) and its potential as an adjuvant tool in health care.

METHODS

A review of literature and other data sources was performed in order to show the current status of mobile apps that can offer support for smoking cessation. For this purpose, the PubMed, Embase, and Cochrane databases were explored between May and November 2022.

RESULTS

In terms of smoking cessation, mHealth has become a powerful coadjuvant tool that allows health workers to perform exhaustive follow-ups for the process of quitting tobacco and provide support anytime and anywhere. mHealth tools are effective for different groups of smokers (eg, pregnant women, patients with chronic obstructive pulmonary disease, patients with mental illness, and the general population) and are cost-effective, generating savings for the health system. However, there are some patient characteristics that can predict the success of using mobile apps in the smoking cessation process, such as the lower age of patients, dependence on tobacco, the number of quit attempts, and the previous use of mobile apps, among others. Therefore, it is preferable to offer these tools to patients with a higher probability of quitting tobacco.

CONCLUSIONS

mHealth is a promising tool for helping smokers in the smoking cessation process. There is a need for well-designed clinical studies and economic evaluations to jointly assess the effectiveness of new interventions in different population groups, as well as their impact on health care resources.

Trajectories of Digital Prenatal Service Utilization and Pregnancy Outcomes: A Multitrajectory Analysis

Objective

To identify trajectories of prenatal digital service utilization across pregnancy and examine their associations with pregnancy outcomes.

Patients and Methods

Data were extracted from 5409 pregnant people enrolled in Maven, a comprehensive digital platform for women's and family health, between January 1, 2020, and May 27, 2022. Multitrajectory modeling used digital service utilization data (eg, articles read, classes attended, and appointments with providers) at each trimester to identify trajectories of digital use across pregnancy. Multinomial logistic regression models tested for associations between the utilization trajectories and user-reported pregnancy education, experiences, and outcomes.

Results

Four distinct trajectories of digital service utilization were identified and labeled as follows: (1) baseline users (52% of users), (2) just-in-timers (16%), (3) learners (26%), and (4) super users (6%). Users varied across trajectories by race, perinatal support interests, mental health, and parity. Compared with baseline users, trajectories reflective of more digital health service utilization were all positively associated with self-reported influence of Maven on pregnancy education, maternity care experience, and clinical outcomes.

Conclusion

Distinct trajectories of digital health utilization emerged among pregnant individuals with differences in user characteristics and medical risks by trajectory group. Users in higher-use trajectories reported greater benefits from digital health. These findings may be used to inform gaps in existing prenatal care and help provide tailored services to reflect the unique needs of each individual pregnancy.

Systematic review on the cost and cost-effectiveness of mHealth interventions supporting women during pregnancy

OBJECTIVES

The increased integration of digital health into maternity care-alongside growing use of, and access to, personal digital technology among pregnant women-warrants an investigation of the cost-effectiveness of mHealth interventions used by women during pregnancy and the methodological quality of the cost-effectiveness studies.

METHODS

A systematic search was conducted to identify peer-reviewed studies published in the last ten years (2011-2021) reporting on the costs or cost-effectiveness of mHealth interventions used by women during pregnancy. Available data related to program costs, total incremental costs and incremental cost-effectiveness ratios (ICERs) were reported in 2020 United States Dollars. The quality of cost-effectiveness studies was assessed using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS).

FINDINGS

Nine articles reporting on eight studies met the inclusion criteria. Direct intervention costs ranged from $7.04 to $86 per woman, total program costs ranged from $241,341 to $331,136 and total incremental costs ranged from -$21.16 to $1.12 million per woman. The following ICERs were reported: $2168 per DALY averted, $203.44 per woman ceasing smoking, and $3475 per QALY gained. The full economic evaluation studies (n = 4) were moderate to high in quality and all reported the mHealth intervention as cost-effective. Other studies (n = 4) were low to moderate in quality and reported low costs or cost savings associated with the implementation of the mHealth intervention.

CONCLUSIONS FOR PRACTICE

Preliminary evidence suggests mHealth interventions may be cost-effective and "low-cost" but more evidence is needed to ascertain the cost-effectiveness of mHealth interventions regarding positive maternal and child health outcomes and longer-term health service utilisation.

Effectiveness of Smartphone-Based Lifestyle Interventions on Women with Gestational Diabetes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Background

Gestational diabetes mellitus (GDM) is a condition that causes poor glucose tolerance during pregnancy and usually resolves after birth. Having GDM impacts the mother and baby. Smartphone-based lifestyle interventions may offer innovative solutions.

Aim

To examine the effects of smartphone-based lifestyle interventions on compliance, Hemoglobin A1c (HbA1c), maternal outcomes, infant outcomes, psychological status, satisfaction, and cost effectiveness among women with GDM.

Methods

Randomized controlled trials (RCTs) of smartphone-based lifestyle interventions for women with GDM aged over 18 years were included. A systematic search of PubMed, Embase, Web of Science, CINAHL, and Cochrane Library for articles published from January 2007 to March 2022 and updated on 12 October 2022. Data were extracted independently by two researchers, and the risk of bias in individual trials was rated using the Cochrane risk-of-bias tool (RoB 2). Meta-analysis was conducted by using RevMan 5.3.

Results

Ten studies were included involving 1626 participants. The mean ages of the women were 32.42 ±4.68 years. Eight out of 10 studies were conducted in developed countries. Meta-analysis found that smartphone-based lifestyle interventions statistically improved compliance [SMD = 7.36, 95% CI = (4.05 to 10.68), P < 0.0001] and decreased the incidences of neonatal intensive care unit (NICU) admission [RR = 0.64, 95% CI = (0.47,0.86), P = 0.003], compared with controls. However, intervention effects on HbA1c, maternal outcomes, neonatal hypoglycemia, and infant birth weight were non significant. Moreover, the satisfaction of intervention is high in this review. Contrastingly, no significant effects were observed for psychological status and cost-effectiveness.

Conclusion

Smartphone-based lifestyle interventions may improve patient compliance and reduce NICU admissions. These findings may aid in developing future intervention strategies, help elucidate future research directions, and guide clinical practice for women with GDM. Future high-quality RCTs must be further studied at larger scales to examine smartphone-based lifestyle interventions' long-term effects and cost-effectiveness.

Optimizing Engagement in an mHealth Intervention for Diabetes Support During Pregnancy: the Role of Baseline Patient Health and Behavioral Characteristics

BACKGROUND

Mobile health (mHealth) technology that addresses diabetes mellitus in pregnancy has the potential to improve maternal and child health while diminishing socioeconomic and racial disparities. Little is known about health literacy, electronic health literacy, or patient characteristics that contribute to increased mHealth use. In this pilot study, we aimed to examine patient factors associated with user engagement with a novel app for diabetes support during pregnancy.

METHOD

Low-income pregnant individuals with gestational or type 2 diabetes mellitus were recruited for a 2-week usability assessment of a novel mHealth smartphone application, "SweetMama," designed to improve diabetes care. This analysis of user characteristics was a pilot assessment of data from the usability study phase. Participants completed assessments of patient health literacy, electronic health literacy, diabetes self-efficacy, and activation. User metrics (eg, sessions and total duration of use) were evaluated by participant characteristics. Descriptive analyses were conducted to assess outcomes with respect to patient's clinical history, health literacy, electronic health literacy, diabetes self-efficacy, and activation.

RESULTS

Twenty-two diverse, low-income pregnant patients with either gestational or type 2 diabetes engaged with SweetMama for 14 days. Participants with gestational diabetes had greater mean minutes of use per session and mean total duration of use than those with type 2 diabetes. Participants with greater electronic health literacy, lower patient activation, and greater self-efficacy demonstrated greater total duration of use. No user metrics differed significantly by participant general health literacy.

CONCLUSIONS

Findings of this pilot study suggest engagement with a novel mHealth app for diabetes support during pregnancy varied by baseline behavioral and clinical characteristics. Results could indicate that digital health literacy better differentiates engagement patterns than general health literacy.

Systematic Review of Interventions Addressing Food Insecurity in Pregnant Women and New Mothers

PURPOSE OF THE REVIEW

Food insecurity can have a negative health impact for women during pregnancy and the postpartum period; however, there are a range of barriers to meeting nutritional guidelines during pregnancy. Food insecurity is associated with an increased risk of pregnancy complications and mental and physical health outcomes. This review aims to provide insight into programmes and interventions which have targeted food insecurity in pregnant and early postpartum women. The central research question for this review is as follows: What programmes and interventions have sought to address food insecurity among pregnant and postpartum women? A systematic search of five electronic databases including Medline, CINAHL, Global Health, Embase, and Cochrane was undertaken on August 2021. Key thematic areas searched were food insecurity, pregnancy, nutritional outcomes, and interventions or programmes. Only studies that were published since 2000 in English were considered.

RECENT FINDINGS

Eleven studies were included in this review. Studies employed a range of methods and outcomes measures. They were conducted in mostly low- and middle-income countries, and in general, focused on nutritional supplementation, with some studies also incorporating nutrition education or counselling. The findings of this review suggest that while there are a range of possible interventions that seek to address food insecurity and hunger among pregnant and postpartum women, the limited number of robust evaluations or long-term interventions mean that evidence for any one intervention type is limited. Furthermore, the programmes and interventions that do exist are generally embedded within a single context or structure, and as such, may not be able to be widely implemented. (Prospero Registration CRD42022245787).

Technology-based innovative healthcare solutions for improving maternal and child health outcomes in low- and middle-income countries: A network meta-analysis protocol

AIM

The aims of the study were to synthesize the role of technology-based healthcare interventions (TBIs) and to identify the most effective interventions for the best functional maternal and child health (MCH) outcomes among low-risk pregnant women in low- and middle-income countries (LMICs).

DESIGN

A systematic review and network meta-analysis (NMA).

METHODS

We will perform a comprehensive search in electronic databases and other resources to identify relevant randomized controlled trials. Two reviewers will independently perform study selection, data extraction and quality assessment. Our primary outcomes include proportion of recommended antenatal care visits, skilled delivery care, postnatal care visits and exclusive breastfeeding practices. We will use pairwise random-effects meta-analysis and NMAs to estimate direct, indirect and relative effects using the relevant intervention classifications for each outcome separately. We plan to assess hierarchy of interventions, statistical inconsistency and certainty of evidence.

RESULTS

This review will compare the effectiveness of different form of TBIs on a comprehensive range of MCH outcomes and will provide the outcome-specific reliable evidence of the most effective interventions on improving MCH in LMICs. The review findings will guide researchers, stakeholders or policymakers on the potential use of TBIs in the given contexts that could achieve the best functional MCH outcomes in LMICs.

Effectiveness of mobile application-based perinatal interventions in improving parenting outcomes: A systematic review

Objective

Parents face many challenges during the perinatal period and are at risk for mental health issues, especially during the current coronavirus (COVID-19) pandemic. Mobile application-based interventions can help parents to improve their psychosocial well-being in a convenient and accessible manner. This review aims to examine the effectiveness of mobile application-based perinatal interventions in improving parenting self-efficacy, anxiety, and depression (primary outcomes), as well as stress, social support, and parent-child bonding (secondary outcomes) among parents.

Methods

Seven electronic databases (PubMed, Embase, CINAHL, PsycINFO, Web of Science, Scopus, and ProQuest Thesis and Dissertations) were searched from their respective inception dates until August 2021. The Cochrane Risk of Bias-2 tool was used to conduct quality appraisals. Results were narratively synthesized due to the high heterogeneity of intervention and participant types.

Findings

A total of 6164 articles were retrieved from the seven electronic databases and citation searching. After excluding duplicate records and irrelevant titles/abstracts, 105 full texts were examined. Full-text screening excluded another 93 articles, leaving 12 included studies in this review. All studies were rated as having some concerns or a high overall risk of bias. Mobile application-based interventions were found to be feasible and promising in improving parents’ overall well-being post-intervention during the perinatal period. Further research would be needed to determine their long-term effects.

Key conclusions and implications for practice

Parental well-being was shown to improve using the following intervention components: educational resources on perinatal and infant care, psychotherapy, and support from peers and healthcare professionals. Hence, future interventions could aim to include these components and evaluate all inter-related parenting outcomes (parenting self-efficacy, stress, anxiety, depression, social support, and parent-child bonding). Parents could be provided with experiential learning exposure by using computer animations and virtual reality. Future research could be conducted on more fathers and parents from varied geographical regions.

Diabetes Technology Meeting 2021

Diabetes Technology Society hosted its annual Diabetes Technology Meeting on November 4 to November 6, 2021. This meeting brought together speakers to discuss various developments within the field of diabetes technology. Meeting topics included blood glucose monitoring, continuous glucose monitoring, novel sensors, direct-to-consumer telehealth, metrics for glycemia, software for diabetes, regulation of diabetes technology, diabetes data science, artificial pancreas, novel insulins, insulin delivery, skin trauma, metabesity, precision diabetes, diversity in diabetes technology, use of diabetes technology in pregnancy, and green diabetes. A live demonstration on a mobile app to monitor diabetic foot wounds was presented.

A Mobile Education and Social Support Group Intervention for Improving Postpartum Health in Northern India: Development and Usability Study

BACKGROUND

Structural and cultural barriers limit Indian women's access to adequate postnatal care and support despite their importance for maternal and neonatal health. Targeted postnatal education and support through a mobile health intervention may improve postnatal recovery, neonatal care practices, nutritional status, knowledge and care seeking, and mental health.

OBJECTIVE

We sought to understand the feasibility and acceptability of our first pilot phase, a flexible 6-week postnatal mobile health intervention delivered to 3 groups of women in Punjab, India, and adapt our intervention for our next pilot phase, which will formally assess intervention feasibility, acceptability, and preliminary efficacy.

METHODS

Our intervention prototype was designed to deliver culturally tailored educational programming via a provider-moderated, voice- and text-based group approach to connect new mothers with a social support group of other new mothers, increase their health-related communication with providers, and refer them to care needed. We targeted deployment using feature phones to include participants from diverse socioeconomic groups. We held moderated group calls weekly, disseminated educational audios, and created SMS text messaging groups. We varied content delivery, group discussion participation, and chat moderation. Three groups of postpartum women from Punjab were recruited for the pilot through community health workers. Sociodemographic data were collected at baseline. Intervention feasibility and acceptability were assessed through weekly participant check-ins (N=29), weekly moderator reports, structured end-line in-depth interviews among a subgroup of participants (15/29, 52%), and back-end technology data.

RESULTS

The participants were aged 24 to 28 years and 1 to 3 months postpartum. Of the 29 participants, 17 (59%) had their own phones. Half of the participants (14/29, 48%) attended ≥3 of the 6 calls; the main barriers were childcare and household responsibilities and network or phone issues. Most participants were very satisfied with the intervention (16/19, 84%) and found the educational content (20/20, 100%) and group discussions (17/20, 85%) very useful. The participants used the SMS text messaging chat, particularly when facilitator-moderated. Sustaining participation and fostering group interactions was limited by technological and sociocultural challenges.

CONCLUSIONS

The intervention was considered generally feasible and acceptable, and protocol adjustments were identified to improve intervention delivery and engagement. To address technological issues, we engaged a cloud-based service provider for group calls and an interactive voice response service provider for educational recordings and developed a smartphone app for the participants. We seek to overcome sociocultural challenges through new strategies for increasing group engagement, including targeting midlevel female community health care providers as moderators. Our second pilot will assess intervention feasibility, acceptability, and preliminary effectiveness at 6 months. Ultimately, we seek to support the health and well-being of postpartum women and their infants in South Asia and beyond through the development of efficient, acceptable, and effective intervention strategies.

Child Anthropometrics and Neurodevelopment at 2 and 3 Years of Age Following an Antenatal Lifestyle Intervention in Routine Care-A Secondary Analysis from the Cluster-Randomised GeliS Trial

Maternal characteristics around pregnancy may influence obesity risk and neurodevelopment in children. To date, the effect of antenatal lifestyle interventions on long-term child development is unclear. The objective was to investigate the potential long-term effects of an antenatal lifestyle intervention programme conducted alongside routine care on child anthropometrics and neurodevelopment up to 3 years of age. Mother-child pairs from the cluster-randomised GeliS trial were followed up to 3 years of age. Data on child anthropometrics in both groups were collected from routine health examinations. Neurodevelopment was assessed via questionnaire. Of the 2286 study participants, 1644 mother-child pairs were included in the analysis. Children from the intervention group were less likely to score below the cut-off in Fine motor (p = 0.002), and more likely to have a score below the cut-off in Problem-solving (p < 0.001) compared to the control group at 3 years of age. Mean weight, height, head circumference, body mass index, and the respective z-scores and percentiles were comparable between the groups at 2 and 3 years of age. We found no evidence that the lifestyle intervention affected offspring development up to 3 years of age. Further innovative intervention approaches are required to improve child health in the long-term.

Efficacy of a Smartphone Application to Promote Maternal Influenza Vaccination: A Randomized Controlled Trial

The maternal vaccine coverage rate has been low in Taiwan. We developed an “Influenza Vaccination Reminder Application” and evaluated its efficacy in improving vaccination intention among pregnant women in Taiwan. A randomized controlled trial was conducted to compare the positive change in vaccination intention between the experimental group and the control group. Pregnant women who were more than 20 years old and at less than 32 weeks of gestation were recruited from four regional hospitals in southern Taiwan during November 2020 to April 2021. Pregnant women were randomly assigned to the experimental group, to whom the “Influenza Vaccination Reminder Application” was provided for at least two months, while pregnant women in the control group received regular maternal education only. The differences in knowledge about influenza and its vaccines, attitudes towards maternal influenza vaccination, and behavior intention of influenza vaccination among pregnant women before and after the experiment intervention were compared between two groups. The results included 126 women in the experimental group and 117 women in the control group and showed that the “Influenza Vaccination Reminder Application” increased pregnant women’s knowledge about influenza and vaccines (percentage increase in the experimental group and control group: 11.64% vs. 7.39%), strengthened their positive attitudes towards maternal influenza vaccination (percentage increase: 5.39% vs. 1.44%), and promoted positive behavioral intention toward influenza vaccination (proportion of participants with positive change in vaccination intention: 17.46% vs. 7.69%). The study supports use of “Influenza Vaccination Reminder Application” to promote the behavior intention of influenza vaccination among pregnant women in Taiwan.

Effectiveness of a Step Counter Smartband and Midwife Counseling Intervention on Gestational Weight Gain and Physical Activity in Pregnant Women With Obesity (Pas and Pes Study): Randomized Controlled Trial

Background

Women who are pregnant and have obesity and excessive gestational weight gain (GWG) present a higher risk of maternal and perinatal complications. The use of mobile apps and a wristband during pregnancy may contribute to promoting healthy lifestyles and, thus, improving maternal and neonatal health.

Objective

This study aims to evaluate the effectiveness of a complex digital health intervention, using a smartband and app with midwife counseling, on GWG and physical activity (PA) in women who are pregnant and have obesity and analyze its impact on maternal and perinatal outcomes. In addition, we aim to study the frequency of use, usability, and satisfaction with the mobile apps used by the women in the intervention group.

Methods

A parallel, 2-arm, randomized controlled trial was conducted. A total of 150 women who were pregnant and had obesity were included. The intervention group received a complex combined digital intervention. The intervention was delivered with a smartband (Mi Band 2) linked to the app Mi Fit to measure PA and the Hangouts app with the midwife to provide personal health information. The control group received usual care. The validated Spanish versions of the International Physical Activity Questionnaire–Short Form and the System Usability Scale were used. Satisfaction was measured on a 1- to 5-point Likert scale.

Results

We analyzed 120 women, of whom 30 (25%) were withdrawn because of the COVID-19 pandemic. The median GWG in the intervention group was 7.0 (IQR 4-11) kg versus 9.3 (IQR 5.9-13.3) kg in the control group (P=.04). The adjusted mean GWG per week was 0.5 (95% CI 0.4-0.6) kg per week in the control group and 0.3 (95% CI 0.3-0.4) kg per week in the intervention group (df=0.1, 95% CI −0.2 to 0.03; P=.008). During the 35 and 37 gestational weeks, women in the intervention group had higher mean PA than women in the control group (1980 metabolic equivalents of tasks–minutes per week vs 1386 metabolic equivalents of tasks–minutes per week, respectively; P=.01). No differences were observed between the study groups in the incidence of maternal and perinatal outcomes. In the intervention group, 61% (36/59) of the women who were pregnant used the smartband daily, and 75% (44/59) evaluated the usability of the Mi Fit app as excellent. All women in the intervention group used the Hangouts app at least once a week. The mean of the satisfaction scale with the health counseling app and midwife support was 4.8/5 (SD 0.6) points.

Conclusions

The use of a complex mobile health intervention was associated with adequate GWG, which was lower in the intervention group than in the control group. In addition, we observed that the intervention group had increases in PA. No differences were observed in maternal perinatal complications.

Trial Registration

ClinicalTrials.gov NCT03706872; https://www.clinicaltrials.gov/ct2/show/NCT03706872

Exploring digital health interventions for pregnant women at high risk for pre-eclampsia and eclampsia in low-income and-middle-income countries: a scoping review

OBJECTIVE

To explore digital health interventions that have been used to support pregnant women at high risk for pre-eclampsia/eclampsia (HRPE/E) in low-income and middle-income countries (LMICs).

DESIGN

Scoping review.

DATA SOURCE

EMBASE, MEDLINE, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews and CINAHL were searched between 1 January 2000 and 20 October 2020.

ELIGIBILITY CRITERIA

The review included original research studies that were published in English, involved pregnant women at HRPE/E and implemented digital health interventions for PE/E in LMICs.

DATA EXTRACTION AND SYNTHESIS

Two reviewers independently completed the data extraction for each of the 19 final articles. An inductive approach was used to thematically organise and summarise the results from the included articles.

RESULTS

A total of 19 publications describing 7 unique studies and 9 different digital health interventions were included. Most studies were conducted in South Asia and sub-Saharan Africa (n=16). Of nine unique digital health interventions, two served the purpose of predicting risk for adverse maternal health outcomes while seven focused on monitoring high-risk pregnant women for PE/E. Both of these purposes used mobile phone applications as interface to facilitate data collection, decision making, and communication between health workers and pregnant women. The review identified key functions of interventions including data collection, prediction of adverse maternal outcomes, integrated diagnostic and clinical decision support, and personal health tracking. The review reported three major outcomes: maternal health outcomes including maternal and neonatal morbidity and mortality (n=4); usability and acceptability including ease-of-use, and perceived usefulness, (n=5); and intervention feasibility and fidelity including accuracy of device, and intervention implementation (n=7).

CONCLUSION

Although the current evidence base shows some potential for the use of digital health interventions for PE/E, more prospective experimental and longitudinal studies are needed prior to recommending the use of digital health interventions for PE/E.

An ethical exploration of pregnancy related mHealth: does it deliver?

Many pregnant women use pregnancy related mHealth (PRmHealth) applications, encompassing a variety of pregnancy apps and wearables. These are mostly directed at supporting a healthier fetal development. In this article we argue that the increasing dominance of PRmHealth stands in want of empirical knowledge affirming its beneficence in terms of improved pregnancy outcomes. This is a crucial ethical issue, especially in the light of concerns about increasing pressures and growing responsibilities ascribed to pregnant women, which may, in turn, be reinforced by PRmHealth. A point can be made that it would be ethically askew if PRmHealth does not lead to improved pregnancy outcomes, while at the same time increasing maternal duties to closely monitor fetal development. We conclude that more research is needed to get a view on the benefits and burdens of PRmHealth in order to ethically assess whether the latter are proportionate to the former. If not, there is a case in saying that endorsement of PRmHealth is overdemanding.

Identifying Mobile Health Technology Experiences and Preferences of Low-Income Pregnant Women with Diabetes

BACKGROUND

Rapid expansion of mobile technology has resulted in the development of many mobile health ("mHealth") platforms for health monitoring and support. However, applicability, desirability, and extent of tailoring of these platforms for pregnant women, particularly in populations who experience the greatest health inequities-such as women with diabetes mellitus (DM) and/or those with greater socioeconomic barriers-remains unknown. The objective is to understand low-income pregnant women's experiences and preferences for mHealth tools to support DM health and improve DM self-management during pregnancy.

METHODS

Low-income pregnant and postpartum women were included in individual interviews or focus groups; women with type 2 DM, gestational DM, or no DM were included. Analysis was performed with the constant comparison method.

RESULTS

In this population of 45 (N=37 with DM) low-income, largely minority, pregnant and postpartum women, 100% reported access to smartphones and prior experience with apps. Interest in mHealth to support health and engagement during pregnancy was high. Preferences for general mHealth features included education that reduces uncertainty, support communities, visualizing progress, convenient access to information, and support for better management of pregnancy-related tasks. Preferred design elements included personalization, interactive features, and integrated graphics. Women with DM expressed multiple additional DM-specific needs, including support tools for DM self-management and self-regulation tasks.

CONCLUSION

Pregnant and postpartum women, especially those with DM, desire mHealth technology to support engagement and to adapt lifestyle guidelines and treatment requirements for a healthy pregnancy. Further work to develop mHealth interventions tailored for target populations remains a key step in reducing health inequities and promoting access to evidence-based perinatal health interventions.

Maternal knowledge-seeking behavior among pregnant women in Tanzania

BACKGROUND

Maternal mortality continues to be a global challenge with about 830 women dying of childbirth and pregnancy complications every day. Tanzania has a maternal mortality rate of 524 deaths per 100,000 live births.

OBJECTIVE

Knowing symptoms associated with antenatal risks among pregnant women may result in seeking care earlier or self-advocating for more immediate treatment in health facilities. This article sought to identify knowledge-seeking behaviors of pregnant women in Northern Tanzania, to determine the challenges met and how these should be addressed to enhance knowledge on pregnancy risks and when to seek care.

METHODS

Interview questions and questionnaires were the main data collection tools. Six gynecologists and four midwives were interviewed, while 168 pregnant women and 14 recent mothers participated in the questionnaires.

RESULTS

With the rise in mobile technology and Internet penetration in Tanzania, more women are seeking information through online sources. However, for women to trust these sources, medical experts have to be involved in developing the systems.

CONCLUSION

Through expert systems diagnosis of pregnancy complications and recommendations from experts can be made available to pregnant women in Tanzania. In addition, self-care education during pregnancy will save women money and reduce hospital loads in Tanzania.

Design of the Maternal Website EMAeHealth That Supports Decision-Making During Pregnancy and in the Postpartum Period: Collaborative Action Research Study

Background

Despite the benefit maternal education has for women, it needs new tools to increase its effectiveness and scope, in tune with the needs of current users.

Objective

We attempted to develop a multifunctional personalized eHealth platform aimed at the self-management of health in relation to maternity, which can be considered a flexible and adaptable maternal education tool.

Methods

The International Patient Decision Aid Standards (IPDAS) were applied. A website prototype was developed for implementation in the public health system using a collaborative action research process, in which experts and patients participate, with qualitative research techniques, as well as focus groups, prioritization, and consensus techniques.

Results

We have proposed a website that includes (1) systematically updated information related to clinical practice guidelines, (2) interaction between peers and users/professionals, (3) instruments for self-assessment of health needs as a basis for working on counseling, agreement on actions, help in the search for resources, support in decision-making, and monitoring and evaluation of results, and (4) access for women to their clinical data and the option of sharing the data with other health agents. These components, with different access requirements, would be reviewed through iterative cycles depending on the frequency and effectiveness resulting from their use and would be accessible from any digital device.

Conclusions

A website that supports maternal education should contain not only information, but also resources for individual attention and social support. Its usefulness for the health and satisfaction of women should be evaluated in various different environments.

Perceptions and experiences of healthcare providers during COVID-19 pandemic in Karachi, Pakistan: an exploratory qualitative study

OBJECTIVE

To explore healthcare provider's perspectives and experiences of the barriers and facilitators to treat and manage COVID-19 cases.

DESIGN AND SETTING

We conducted an exploratory qualitative study using a purposive sampling approach, at a private tertiary care teaching hospital in Karachi, Pakistan. Study data were analysed manually using the conventional content analysis technique.

PARTICIPANTS

Key-informant interviews (KIIs) were conducted with senior management and hospital leadership and in-depth interviews (IDIs) were conducted with front-line healthcare providers.

RESULTS

A total of 31 interviews (KIIs=19; IDIs=12) were conducted, between April and May 2020. Three overarching themes emerged. The first was 'challenges faced by front-line healthcare providers working in COVID-19 wards. Healthcare workers experienced increased anxiety due to the fear of acquiring infection and transmitting it to their family members. They felt overwhelmed due to the exhaustive donning and doffing process, intense work and stigmatisation. The second theme was 'enablers supporting healthcare providers to deal with the COVID-19 pandemic'. Front liners pointed out several enabling factors that supported hospital staff including a safe hospital environment, adequate training, a strong system of information sharing and supportive management. The third theme was 'recommendations to support the healthcare workforce during the COVID-19 crisis'. Healthcare workers recommended measures to mitigate current challenges including providing risk allowance to front-line healthcare providers, preparing a backup health workforce, and establishing a platform to address the mental health needs of the healthcare providers.

CONCLUSION

This study provides an initial evidence base of healthcare providers' experiences of managing patients with COVID-19 in the early stage of the pandemic and highlights measures needed to address the encountered challenges. It offers lessons for hospitals in low-income and middle-income countries to ensure a safe working environment for front-line workers in their fight against COVID-19.

A systematic review of economic evaluations of web-based or telephone-delivered interventions for preventing overweight and obesity and/or improving obesity-related behaviors

Obesity prevention interventions with behavioral or lifestyle-related components delivered via web-based or telephone technologies have been reported as comparatively low cost as compared with other intervention delivery modes, yet to date, no synthesized evidence of cost-effectiveness has been published. This study aimed to conduct a systematic review of economic evaluations of obesity prevention interventions with a telehealth or eHealth intervention component. A systematic search of six academic databases was conducted through October 2020. Studies were included if they reported full economic evaluations of interventions aimed at preventing overweight or obesity, or interventions aimed at improving obesity-related behaviors, with at least one intervention component delivered by telephone (telehealth) or web-based technology (eHealth). Findings were reported narratively, based on the Consolidated Health Economic Evaluation Reporting Standards. Twenty-seven economic evaluations were included from 20 studies meeting the inclusion criteria. Sixteen of the included interventions had a telehealth component, whereas 11 had an eHealth component. Seventeen interventions were evaluated using cost-utility analysis, five with cost-effectiveness analysis, and five undertook both cost-effectiveness and cost-utility analyses. Only eight cost-utility analyses reported that the intervention was cost-effective. Comparison of results from cost-effectiveness analyses was limited by heterogeneity in methods and outcome units reported. The evidence supporting the cost-effectiveness of interventions with a telehealth or eHealth delivery component is currently inconclusive. Although obesity prevention telehealth and eHealth interventions are gaining popularity, more evidence is required on their effectiveness and cost-effectiveness.

Adherence to Immunosuppression Medications among Heart Transplant Recipients: Challenges, Opportunities, and Potential Role of Digital Approaches in the COVID-19 Era

Society and medical practice have been restructured dramatically to avoid further spread of the COVID-19 virus; telehealth/telemedicine, mask wearing, and nationwide social distancing practices have become widespread. However, we still face unprecedented challenges in fields where patients require frequent and active follow-up visits for monitoring, including that of solid-organ transplant, and in particular, heart transplant. Adherence to immunosuppression remains a unique challenge in heart transplantation, especially during the COVID-19 pandemic. Failure to adhere to immunosuppression can have disastrous consequences, including graft rejection and death. In this article, we discuss challenges related to adherence to immunosuppression medications among heart transplant recipients, as well as opportunities to leverage digital approaches and interventions to monitor and optimize adherence behavior and health outcomes in this population.

A Strategic Program for Risk Assessment and Intervention to Mitigate Environmental Stressor-Related Adverse Pregnancy Outcomes in the Indian Population

The Problem: Global environmental stressors of human health include, but are not limited to, conflict, migration, war, natural disasters, climate change, pollution, trauma, and pandemics. In combination with other factors, these stressors influence physical and mental as well as reproductive health. Maternal stress is a known factor for adverse pregnancy outcomes such as preterm birth (PTB); however, environmental stressors are less well-understood in this context and the problem is relatively under-researched. According to the WHO, major Indian cities including New Delhi are among the world's 20 most polluted cities. It is known that maternal exposure to environmental pollution increases the risk of premature births and other adverse pregnancy outcomes which is evident in this population.

Response to the Problem: Considering the seriousness of this problem, an international and interdisciplinary group of researchers, physicians, and organizations dedicated to the welfare of women at risk of adverse pregnancy outcomes launched an international program named Optimal Pregnancy Environment Risk Assessment (OPERA). The program aims to discover and disseminate inexpensive, accessible tools to diagnose women at risk for PTB and other adverse pregnancy outcomes due to risky environmental factors as early as possible and to promote effective interventions to mitigate these risks. OPERA has been supported by the Worldwide Universities Network, World Health Organization (WHO) and March of Dimes USA.

Addressing the Problem: This review article addresses the influence of environmental stressors on maternal-fetal health focusing on India as a model population and describes the role of OPERA in helping local practitioners by sharing with them the latest risk prediction and mitigation tools. The consequences of these environmental stressors can be partially mitigated by experience-based interventions that build resilience and break the cycle of inter- and-transgenerational transmission. The shared knowledge and experience from this collaboration are intended to guide and facilitate efforts at the local level in India and other LMIC to develop strategies appropriate for the jurisdiction for improving pregnancy outcomes in vulnerable populations.

Physical Activity in Pregnancy: Beliefs, Benefits, and Information-Seeking Practices of Pregnant Women in South Africa

Background

Notwithstanding the benefits of physical activity (PA) during pregnancy, anecdotal evidence suggests ignorance, unscientific beliefs, and lack of awareness about PA among pregnant South African women.

Aim

This study examined the beliefs, perceived benefits, and sources of information on PA during pregnancy.

Methods

A cross-sectional descriptive study was employed between June and September 2019 using an interviewer-administered questionnaire with 1,082 pregnant women. These women were attending antenatal primary health–care clinics in Buffalo City, Eastern Cape, South Africa. A self-designed questionnaire solicited information on beliefs, benefits, and sources of information regarding PA during pregnancy.

Results

A majority of the participants held positive beliefs concerning PA during pregnancy. They maintained that PA was safe for mother and fetus, improved labor and delivery (93.1%), promoted energy (89.0%), and should be discontinued when tired (76.6%). Most held negative convictions that PA during pregnancy increased body temperature (64.5%) and that pregnancy was a time to rest and refrain from PA (56.5%). Predominantl sources of information received about PA during pregnancy were television, the radio, and other media (70.2%). Most participants were aware of the benefits of PA during pregnancy —— reduction in infant weight (61.4%), lessening of moodiness (90.4), and decreased risk of gestational diabetes mellitus (92.9%), pregnancy-induced hypertension (92.5%), and complications at birth (97.8%), while common negative perceptions included musculoskeletal discomfort (82.7%), and back pain (85.7%). An overwhelming majority affirmed that PA improved self-image (95.7%), sleep patterns (94.2%), and respiratory function (95.8%).

Conclusion

Our findings suggested that women hold positive beliefs and perceive PA as beneficial to their health and the baby; however, they received most of their information from the Internet. Most women regarded pregnancy as a period to relax and rest. Interventions to promote PA during pregnancy are needed.

Symptoms and syndromes associated with SARS-CoV-2 infection and severity in pregnant women from two community cohorts

We tested whether pregnant and non-pregnant women differ in COVID-19 symptom profile and severity, and we extended previous investigations on hospitalized pregnant women to those who did not require hospitalization. Two female community-based cohorts (18-44 years) provided longitudinal (smartphone application, N = 1,170,315, n = 79 pregnant tested positive) and cross-sectional (web-based survey, N = 1,344,966, n = 134 pregnant tested positive) data, prospectively collected through self-participatory citizen surveillance in UK, Sweden and USA. Pregnant and non-pregnant were compared for frequencies of events, including SARS-CoV-2 testing, symptoms and hospitalization rates. Multivariable regression was used to investigate symptoms severity and comorbidity effects. Pregnant and non-pregnant women positive for SARS-CoV-2 infection were not different in syndromic severity, except for gastrointestinal symptoms. Pregnant were more likely to have received testing, despite reporting fewer symptoms. Pre-existing lung disease was most closely associated with syndromic severity in pregnant hospitalized. Heart and kidney diseases and diabetes increased risk. The most frequent symptoms among non-hospitalized women were anosmia [63% pregnant, 92% non-pregnant] and headache [72%, 62%]. Cardiopulmonary symptoms, including persistent cough [80%] and chest pain [73%], were more frequent among pregnant who were hospitalized. Consistent with observations in non-pregnant populations, lung disease and diabetes were associated with increased risk of more severe SARS-CoV-2 infection during pregnancy.

Mobile App-Based Intervention for Pregnant Women With Stress Urinary Incontinence: Protocol for a Hybrid Effectiveness-Implementation Trial

Background

Stress urinary incontinence (SUI) is a common source of distress among women during and after pregnancy. It has a negative effect on quality of life but with poor care-seeking. Mobile health (mHealth) may be a promising solution with potential advantages. However, there is uncertainty whether a mobile app is effective for SUI symptom improvement during and after pregnancy. The implementation is also unclear. We developed an app named UIW (Urinary Incontinence for Women) aimed at improving perinatal incontinence.

Objective

The objective of this study is to evaluate the effectiveness of the UIW app-based intervention in improving SUI symptoms among pregnant women and explore the facilitators and barriers to using the UIW app to help refine and optimize the intervention.

Methods

This study is a hybrid effectiveness-implementation trial with a randomized controlled trial alongside a mixed-methods process evaluation according to the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework. Pregnant women with SUI (n=336) will be recruited from a university-affiliated hospital in China. They will be randomly allocated (1:1) to either the intervention group that receive usual care plus UIW app or control group that receive usual care alone. The intervention period will last 2 months. The 5 dimensions of the RE-AIM framework will be evaluated at recruitment (-T1), baseline (T0), immediately after intervention (T1), 42 days after delivery (T2), 3 months after delivery (T3), and 6 months after delivery (T4) through project documents, online questionnaires and a pelvic floor muscle training diary, surface electromyography, log data in the background management system, and qualitative interviews. Data analysis will follow the intention-to-treat principle. Descriptive statistics, t tests, chi-square tests, and a linear mixed model will be used to analyze the quantitative data. Deductive and inductive content analysis will be used to analyze the qualitative data.

Results

The effectiveness-implementation trial started in June 2020, trial recruitment was completed in October 2020, and the intervention will last for a 2-month period. Completion of the 6-month follow-up will be in July 2021, and we anticipate that the results of this study will be published in December 2021.

Conclusions

This study will evaluate both effectiveness and implementation of the UIW app-based intervention among pregnant women. The hybrid effectiveness-implementation trial design according to the RE-AIM framework with a mixed-methods approach will give valuable insights into the effects as well as facilitators and barriers to the implementation that will influence the effects of the UIW app-based intervention.

Trial Registration

Chinese Clinical Trial Registry ChiCTR1800016171; http://www.chictr.org.cn/showproj.aspx?proj=27455

International Registered Report Identifier (IRRID)

PRR1-10.2196/22771