PRENACEL - a mHealth messaging system to complement antenatal care: a cluster randomized trial

The impact of antenatal telehealth services on maternal and neonatal outcomes, a comparison of results before and during the COVID-19 pandemic: A systematic review and meta-analysis (The impact of telehealth services on maternal and neonatal outcomes)

OBJECTIVE

This review was conducted to examine the effectiveness of antenatal follow-up using telehealth in the pre-COVID-19 and active pandemic periods.

DESIGN

A systematic review and meta-analysis of randomized controlled trials.

METHODS

Searches were conducted from inception to September 2023 through PubMed, the Cochrane Library, EBSCO, Embase, Web of Science, all via Ovid SP, the National Thesis Center, TR Index, Turkiye Clinics, and DergiPark Academic. Data were combined in the meta-analysis. Risk of bias was assessed using the Cochrane Risk of Bias 2 tool and quality of evidence according to the Grading of Recommendations Assessment, Development and Evaluation guidelines.

RESULTS

The meta-analysis examining the effectiveness of antenatal telehealth services included 35 studies with a total sample size of 16 033. The combined results of the studies revealed that antenatal telehealth services were similar to face-to-face follow-ups for many maternal and newborn health outcomes. Maternal outcomes included abortion, preterm delivery, gestational diabetes, weight gain, hypertensive disorders, maternal hospitalization, number of antenatal follow-ups, use of induction, vaginal and instrumental delivery, planned and emergency cesarean section, shoulder dystocia, episiotomy, perineal laceration, childbirth under the supervision of qualified personnel, breastfeeding problems and postpartum depression. Neonatal outcomes included an APGAR score of <7, neonatal hypoglycemia, hyperbilirubinemia, admission into the neonatal intensive care unit, respiratory distress syndrome, neonatal death, birth weight, low birth weight and macrosomia. However, statistically significant reductions in excessive weight gain (p<0.001) and a 1.23-fold increase in vaccination administration (p=0.001) were observed with telehealth services. Additionally, the effects of telehealth services on preterm and cesarean delivery rates were similar in the pre-pandemic and pandemic periods.

CONCLUSION AND IMPLICATIONS FOR PRACTICE AND RESEARCH

This review reveals that while antenatal telehealth services are comparable to face-to-face care in terms of multiple pregnancy, delivery, and neonatal outcomes, they contribute to improvements in preventing extreme weight gain and vaccination hesitancy. These findings suggest that the telehealth method can be used as an alternative to face-to-face monitoring in antenatal follow-ups.

Impact of mHealth interventions on maternal, newborn, and child health from conception to 24 months postpartum in low- and middle-income countries: a systematic review

BACKGROUND

Mobile health (mHealth) technologies have been harnessed in low- and middle-income countries (LMICs) to address the intricate challenges confronting maternal, newborn, and child health (MNCH). This review aspires to scrutinize the effectiveness of mHealth interventions on MNCH outcomes during the pivotal first 1000 days of life, encompassing the period from conception through pregnancy, childbirth, and post-delivery, up to the age of 2 years.

METHODS

A comprehensive search was systematically conducted in May 2022 across databases, including PubMed, Cochrane Library, Embase, Cumulative Index to Nursing & Allied Health (CINAHL), Web of Science, Scopus, PsycINFO, and Trip Pro, to unearth peer-reviewed articles published between 2000 and 2022. The inclusion criteria consisted of (i) mHealth interventions directed at MNCH; (ii) study designs, including randomized controlled trials (RCTs), RCT variations, quasi-experimental designs, controlled before-and-after studies, or interrupted time series studies); (iii) reports of outcomes pertinent to the first 1000 days concept; and (iv) inclusion of participants from LMICs. Each study was screened for quality in alignment with the Cochrane Handbook for Systematic Reviews of Interventions and the Joanne Briggs Institute Critical Appraisal tools. The included articles were then analyzed and categorized into 12 mHealth functions and outcome domain categories (antenatal, delivery, and postnatal care), followed by forest plot comparisons of effect measures.

RESULTS

From the initial pool of 7119 articles, we included 131 in this review, comprising 56 RCTs, 38 cluster-RCTs, and 37 quasi-experimental studies. Notably, 62% of these articles exhibited a moderate or high risk of bias. Promisingly, mHealth strategies, such as dispatching text message reminders to women and equipping healthcare providers with digital planning and scheduling tools, exhibited the capacity to augment antenatal clinic attendance and enhance the punctuality of child immunization. However, findings regarding facility-based delivery, child immunization attendance, and infant feeding practices were inconclusive.

CONCLUSIONS

This review suggests that mHealth interventions can improve antenatal care attendance and child immunization timeliness in LMICs. However, their impact on facility-based delivery and infant feeding practices varies. Nevertheless, the potential of mHealth to enhance MNCH services in resource-limited settings is promising. More context-specific implementation studies with rigorous evaluations are essential.

Rapid systematic review of interventions to improve antenatal screening rates for syphilis, hepatitis B, and HIV in low- and middle-income countries

BACKGROUND

Infectious diseases including syphilis, HIV, and hepatitis B are major contributors to maternal and neonatal morbidity and mortality worldwide, especially in low- and middle-income countries (LMICs). The World Health Organization has prioritized elimination of vertical transmission of these three diseases.

OBJECTIVES

To rapidly assess the impact of interventions designed to improve antenatal screening rates for syphilis, HIV, and hepatitis B in LMICs and to identify areas for future implementation research.

SEARCH STRATEGY

A comprehensive search was conducted across PubMed, Embase, and EconLit, targeting articles published between January 1, 2013, and June 27, 2023.

SELECTION CRITERIA

We included quantitative interventional studies in English, involving pregnant adults (15 years or older) from LMICs. Exclusions were studies based in high-income countries, qualitative studies, or those investigating accuracy of diagnostic methods.

DATA COLLECTION AND ANALYSIS

From an initial 5549 potential studies, 27 were finalized for review after various screening stages. Data extraction covered aspects such as study design, intervention details, and outcomes. Findings were qualitatively synthesized within a systems thinking framework.

MAIN RESULTS

The interventions assessed varied in terms of geographic locations, health care system levels, and modalities. The review highlighted the effectiveness of interventions such as community health interventions, service quality improvements, and financial incentives.

CONCLUSIONS

The study underscores the potential of specific interventions in enhancing antenatal screening rates in LMICs. However, there is a discernible research gap concerning hepatitis B. The findings emphasize the importance of capacity building and health systems strengthening in public health interventions.

Mapping the Role of Digital Health Interventions to Enhance Effective Coverage of Antenatal Care: A Scoping Review

Background

Antenatal care (ANC) is a core component of maternal health services. However, only half of the pregnant women in LMICs obtain WHO recommended minimum of four antenatal contacts. In addition, ANC 4+ is a commonly used indicator in monitoring ANC utilization. However, contact coverage alone provides no indications of service quality. In recent years, digital health interventions bring opportunities to provide quality maternal health care. Yet, there are few reviews on how digital health interventions contribute to improving effective coverage of antenatal care. A rigorous review that examines the role of digital health interventions in improving effective coverage of antenatal care is needed to examine how digital health solutions were rapidly deployed to support quality antenatal care service delivery.

Objective

This review aimed to map evidence on the role of digital health solutions on quality of antenatal care service to enhance effective ANC coverage.

Methods

A scoping review approach was used and four Databases (PubMed, Cochrane Library, Scopus and Embase) as well as search engines like Advanced Google Search and Google Scholar were searched from September 1 to 8, 2022. Thematic content analysis was used to present the findings.

Results

A total of 1701 articles were searched. A total of 27 full-text studies were included in the final analysis. The most reported use of digital health was for client education and behavior change communication. Most studies showed that digital health interventions have proven effective in improving antenatal care. However, most of the studies did not address to assess the quality of ANC services.

Conclusion

In this review, we found out that digital health solutions targeted at pregnant women can improve antenatal care services. There is body of evidence showing the effectiveness of digital health interventions on a range of maternal health outcomes. Few pieces of literature exist on the use of digital health interventions on the quality of antenatal care services. There is a need for more trial and program evaluation studies that examine the role of digital health interventions on the quality of ANC.

Artificial intelligence and digital health in improving primary health care service delivery in LMICs: A systematic review

AIM

Technology including artificial intelligence (AI) may play a key role to strengthen primary health care services in resource-poor settings. This systematic review aims to explore the evidence on the use of AI and digital health in improving primary health care service delivery.

METHODS

Three electronic databases were searched using a comprehensive search strategy without providing any restriction in June 2023. Retrieved articles were screened independently using the "Rayyan" software. Data extraction and quality assessment were conducted independently by two review authors. A narrative synthesis of the included interventions was conducted.

RESULTS

A total of 4596 articles were screened, and finally, 48 articles were included from 21 different countries published between 2013 and 2021. The main focus of the included studies was noncommunicable diseases (n = 15), maternal and child health care (n = 11), primary care (n = 8), infectious diseases including tuberculosis, leprosy, and HIV (n = 7), and mental health (n = 6). Included studies considered interventions using AI, and digital health of which mobile-phone-based interventions were prominent. m-health interventions were well adopted and easy to use and improved the record-keeping, service deliver, and patient satisfaction.

CONCLUSION

AI and the application of digital technologies improve primary health care service delivery in resource-poor settings in various ways. However, in most of the cases, the application of AI and digital health is implemented through m-health. There is a great scope to conduct further research exploring the interventions on a large scale.

Technologies Applied to the Mental Health Care of Pregnant Women: A Systematic Literature Review

OBJECTIVE

 This article aims to review the literature regarding the use of technologies to promote mental health for pregnant women. We seek to: understand the strategies that pregnant women use for mental health care. Also, we investigate the existence of scientific evidence that validates such practices.

METHODS

 This study follows the PRISMA guidelines for systematic reviews. We analyze 27 studies published between 2012 and 2019. We include publications in Portuguese, English, and Spanish.

RESULTS

 The results revealed several different possibilities to use technology, including the use of text messages and mobile applications on smartphones. Mobile applications are the most commonly used approaches (22.5%). Regarding the strategies used, cognitive-behavioral approaches, including mood checks, relaxation exercises, and psychoeducation comprised 44.12% of the content.

CONCLUSION

 There is a need for further investigation and research and development efforts in this field to better understand the possibilities of intervention in mental health in the digital age.

Effects of a mHealth voice messaging intervention on antenatal care utilisation at primary care level in Lagos, Nigeria: a cluster randomised trial

Background

Nigeria has one of the lowest antenatal care (ANC) utilization rates compared to other low- and middle-income nations. In order to ensure a positive pregnant experience, the World Health Organization recommends at least eight ANC visits during pregnancy. This study intends to examine the impact of a mobile phone-based voice message intervention on ANC use in Lagos, Nigeria.

Methods

In this cluster-randomized experiment, primary healthcare centres were divided into five intervention and five control groups using multistage simple random sampling. The intervention consisted of a weekly voice message transmitted through mobile phone from the time of recruitment in the first trimester until two weeks postpartum. Attending at least eight ANC visits before birth was the primary outcome. STATA v17.0 was used to conduct descriptive and bivariate analyses as well as multivariate linear models to calculate crude risk ratios.

Results

458 women participated. All intervention group women (269 women, or 58.7% of the sample) received the text message. These ladies were mostly married, Christian, had several children, and had completed high school. Women who received the intervention were more likely to attend eight ANC visits.

Conclusion

A voice message-based intervention can boost ANC utilization, according to the conclusion. This contributes to the existing body of information about the influence of mHealth treatments on maternal health outcomes and serves as a useful tool for ensuring that no woman is left behind.

Effects of mHealth Interventions on Improving Antenatal Care Visits and Skilled Delivery Care in Low- and Middle-Income Countries: Systematic Review and Meta-analysis

BACKGROUND

The poor coverage of essential maternal services, such as antenatal care (ANC) and skilled delivery care utilization, accounts for higher maternal and infant mortality in low- and middle-income countries (LMICs). Although mobile health (mHealth) interventions could potentially improve the service utilization in resource-limited settings, their effectiveness remains unclear.

OBJECTIVE

This review aimed to summarize the effect of mHealth interventions on improving the uptake of ANC visits, skilled birth attendance at the time of delivery, and facility delivery among pregnant women in LMICs.

METHODS

We conducted a comprehensive search on 9 electronic databases and other resources from inception to October 2020. We included individual randomized controlled trials and cluster randomized controlled trials that assessed the effectiveness of mHealth interventions for improving perinatal health care utilization among healthy pregnant women in LMICs. We performed a random-effects meta-analysis and estimated the pooled effect size by using risk ratios (RRs) with 95% CIs. In addition, 2 reviewers independently assessed the risk of bias of the included studies by using the Cochrane risk of bias tool and the certainty of the evidence by using the Grading of Recommendation, Assessment, Development and Evaluation approach.

RESULTS

A total of 9 studies (10 articles) that randomized 10,348 pregnant women (n=6254, 60.44% in the intervention group; n=4094, 39.56% in the control group) were included in this synthesis. The pooled estimates showed a positive effect of mHealth interventions on improving 4 or more ANC visit utilizations among pregnant women in LMICs, irrespective of the direction of interventions (1-way communications: RR 2.14, 95% CI 1.76-2.60, I²=36%, 2 studies, moderate certainty; 2-way communications: RR 1.17, 95% CI 1.08-1.27, I²=59%, 3 studies, low certainty). Only 2-way mHealth interventions were effective in improving the use of skilled birth attendance during delivery (RR 1.23, 95% CI 1.14-1.33, I²=0%, 2 studies, moderate certainty), but the effects were unclear for 1-way mHealth interventions (RR 1.04, 95% CI 0.97-1.10, I²=73%, 3 studies, very low certainty) when compared with standard care. For facility delivery, the interventions were effective in settings where fewer pregnant women used facility delivery (RR 1.68, 95% CI 1.30-2.19, I²=36%, 2 studies, moderate certainty); however, the effects were unclear in settings where most pregnant women already used facility delivery (RR 1.01, 95% CI 0.97-1.04, I²=0%, 1 study, low certainty).

CONCLUSIONS

mHealth interventions may contribute to improving ANC and skilled delivery care utilization among pregnant women in LMICs. However, more studies are required to improve their reproducibility and efficiency or strengthen the evidence of different forms of mHealth interventions because of the considerable heterogeneity observed in the meta-analyses.

TRIAL REGISTRATION

PROSPERO CRD42020210813; https://tinyurl.com/2n7ny9a7.

The role of digital patient education in maternal health: A systematic review

OBJECTIVE

To assess the recent trends, acceptability, and effectiveness of digital maternal patient education through summarizing the literature.

METHODS

Articles published in 2010-2020 on patient education, digital tools, and maternal health were searched on PubMed. Abstract and full texts were reviewed to identify eligible studies and extract key information.

RESULTS

Digital patient education studies covered various topics throughout pregnancy, with the greatest number of studies targeting the prenatal period. Among the 55 studies, 38 (69%) reported significant patient outcomes, with the main benefits of increased knowledge (83.3%), emotional benefits (73.7%), and behavioral changes (60.6%). The number of studies per year increased steadily over the past decade, with frequently utilized formats of texts with images (40%), SMS (30.9%), and videos (25.5%). Video produced the highest rate of positive patient outcomes; however, no statistical significance was found.

CONCLUSION

Our study presented evidence supporting the high effectiveness and prevalence of digital tools in maternal patient education, and analyzed the content, platforms, and formats utilized by digital tools of the past decade.

PRACTICE IMPLICATIONS

Digital tools are effective and feasible in conducting maternal patient education. No specific patient education format is found to be superior in improving patient's health outcomes.

Postpartum Care Behavior Improvement during COVID-19 Pandemic in Indonesia Using Mobile-Health Interactive Message

Background

Since 2018, maternal mortality in Semarang City, Indonesia, has mostly (75%) occurred during the postpartum period. Therefore, a health intervention is necessary to improve safe and effective postpartum care. During the Covid-19 pandemic, a mobile-based health intervention is preferred due to the government's regulation of COVID-19 safety prevention. This study aimed to determine the effectiveness of the mobile-health interactive message on the postpartum care behavior of mothers and their husbands.

Methods

The study was conducted in a quasi-experimental design. It includes the treatment group and the control group, in which each group consists of 46 pairs of pregnant women in the third trimester and their husbands. The research subjects were chosen through the purposive sampling technique. Data collection was conducted via interviews and observations. The m-health intervention is carried out in the form of text messages, images, videos, and interactive mentoring. The latter was carried out through group messaging via the WhatsApp application for the treatment group. Meanwhile, the control group received regular counseling from the local Community Health Center. Data analysis was performed by Mann-Whitney test, unpaired T-Test, Chi-Square Test dan Fisher Exact Test.

Results

Intervention for 2.5 months increased the knowledge of mothers and husbands. The intervention for 3.5 months improved the mother's attitude, but not the husband's attitude. The intervention also improves maternal practices related to postpartum visits, such as Early Initiation of Breastfeeding assistance requests from health workers, iron tablets and nutritious food consumption, personal hygiene, postpartum danger signs monitoring, and the husband's practice of accompanying mothers during postpartum visits.

Conclusion

Mobile-Health interactive messages effectively improved postpartum care behavior for mothers and their husbands.

Communication Intervention Using Digital Technology to Facilitate Informed Choices at Childbirth in the Context of the COVID-19 Pandemic: Protocol for a Randomized Controlled Trial

BACKGROUND

In Brazil and other low- and middle-income countries, excess interventions in childbirth are associated with an increase in preterm and early-term births, contributing to stagnant morbidity and mortality of mothers and neonates. The fact that women often report a negative experience with vaginal childbirth, with physical pain and feelings of unsafety, neglect, or abuse, may explain the high acceptability of elective cesarean sections. The recognition of information needs and of the right to informed choice during childbirth can help change this reality. The internet has been the main source of health information, but its quality is highly variable.

OBJECTIVE

This study aimed to develop and evaluate an information and communication strategy through a smartphone app with respect to childbirth, to facilitate informed choices for access to safer and evidence-based care in the context of the COVID-19 pandemic.

METHODS

A randomized controlled trial, with 2 arms (intervention and control) and a closed, blind, parallel design, will be conducted with a smartphone app designed for behavior and opinion research in Brazil, with women of reproductive age previously registered on the app. After completing an entry questionnaire to verify the eligibility criteria and obtaining ethical consent, approximately 20,000 participants will be randomly allocated to the intervention and control groups at a 1:1 ratio. Participants allocated to the intervention group will be invited to engage in a digital information and communication strategy, which is designed to expand evidence-based knowledge on the advantages and disadvantages of options for labor and childbirth and the safety of the care processes. The information is based on the guidelines of the Ministry of Health and the World Health Organization for a positive childbirth experience and has been updated to include the new challenges and disruptions in maternity care within the context of the COVID-19 pandemic. The control group will receive information regarding disposable and reusable diapers as a placebo intervention. The groups will be compared in their responses in generating the birth plan and the entry and exit questionnaires, regarding responses less or more aligned with the guidelines for a positive childbirth experience. A qualitative component to map information needs is included.

RESULTS

The digital trial started recruiting participants in late October 2020, and data collection has been projected to be complete by December 2020.

CONCLUSIONS

This study will evaluate an innovative intervention that has the potential to promote better communication between women and providers, such that they can make better choices using an approach suitable for use during the COVID-19 pandemic.

TRIAL REGISTRATION

The Brazilian Clinical Trials Registry U1111-1255-8683; http://www.ensaiosclinicos.gov.br/rg/RBR-3g5f9f/.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/25016.

Using electronic communication technologies for improving syphilis partner notification in Chile: healthcare providers' perspectives - a qualitative case study

Background Partner notification (PN) in Australia has been studied and improved in recent decades. International researchers have highlighted the use of electronic communication technologies to assist PN (Internet partner notification or IPN). Using the Australian experience as an example, the aim of this study is to explore clinicians' perspectives on the use of specialised websites, such as Let them know, to facilitate PN in the Chilean context.

METHODS

Semi-structured interviews were conducted with healthcare providers (HCPs) in 14 primary health care centres and six sexual health units located at two regional Health Services, as well as with key informants from different backgrounds. Interviews were transcribed verbatim and QSR International's NVivo 11 PRO Software was used for cross-case thematic analysis, which followed an inductive approach. Selected quotes were translated from Spanish to English. Codes and themes were reviewed by the research team.

RESULTS

Most participants were unaware of IPN and demonstrated interest. Many agreed this could be a feasible strategy considering the high use of mobile technologies and the Internet in Chile. Participants' primary concerns around this approach were confidentiality, privacy and efficacy, given the local cultural context. The use of a counsellor to offer professional support and guidance was identified as essential to strengthen PN in Chile.

CONCLUSION

The use of IPN could be an alternative PN strategy for Chile. However, the involvement of local staff and further research to explore patients' perceptions and preferences will be essential in tailoring interventions.

[Severe maternal morbidity in public hospitals in Ribeirão Preto, São Paulo State, Brazil]

This study analyzed the occurrence of severe maternal morbidity, the most frequent diagnostic criteria, and the quality of obstetric care in public hospitals in Ribeirão Preto, São Paulo State, Brazil. A quantitative surveillance survey of severe maternal morbidity used World Health Organization (WHO) criteria for potentially life-threatening conditions and maternal near miss. Cases were identified from August 1, 2015, to February 2, 2016. The sample included 259 women with severe maternal morbidity (potentially life-threatening conditions/maternal near miss) during the gestational and postpartum cycle, hospitalized for childbirth in the four public institutions providing obstetric care in the city. The descriptive analysis was based on absolute and relative rates of diagnostic criteria for potentially life-threatening conditions and maternal near miss, besides description of the women in the sample (sociodemographic characteristics, obstetric history, and prenatal and childbirth care). Quality of care indicators set by the WHO based on morbimortality were also calculated. There were 3,497 deliveries, 3,502 live births in all the hospitals in the city, two maternal deaths, and 19 maternal near miss. Maternal near miss ratio was 5.4 cases per 1,000 live births, and the maternal mortality ratio was 57.1 deaths per 100,000 live birth. The mortality rate among cases with severe maternal outcome (maternal near miss plus maternal death) was 9.5%. The study revealed important potentially life-threatening conditions and maternal near miss rates. The occurrence of deaths from hemorrhagic causes highlights the need to improve the quality of obstetric care. The findings can potentially help improve local policy for obstetric care.

Targeted client communication via mobile devices for improving maternal, neonatal, and child health

BACKGROUND

The global burden of poor maternal, neonatal, and child health (MNCH) accounts for more than a quarter of healthy years of life lost worldwide. Targeted client communication (TCC) via mobile devices (MD) (TCCMD) may be a useful strategy to improve MNCH.

OBJECTIVES

To assess the effects of TCC via MD on health behaviour, service use, health, and well-being for MNCH.

SEARCH METHODS

In July/August 2017, we searched five databases including The Cochrane Central Register of Controlled Trials, MEDLINE and Embase. We also searched two trial registries. A search update was carried out in July 2019 and potentially relevant studies are awaiting classification.

SELECTION CRITERIA

We included randomised controlled trials that assessed TCC via MD to improve MNCH behaviour, service use, health, and well-being. Eligible comparators were usual care/no intervention, non-digital TCC, and digital non-targeted client communication.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures recommended by Cochrane, although data extraction and risk of bias assessments were carried out by one person only and cross-checked by a second.

MAIN RESULTS

We included 27 trials (17,463 participants). Trial populations were: pregnant and postpartum women (11 trials conducted in low-, middle- or high-income countries (LMHIC); pregnant and postpartum women living with HIV (three trials carried out in one lower middle-income country); and parents of children under the age of five years (13 trials conducted in LMHIC). Most interventions (18) were delivered via text messages alone, one was delivered through voice calls only, and the rest were delivered through combinations of different communication channels, such as multimedia messages and voice calls. Pregnant and postpartum women TCCMD versus standard care For behaviours, TCCMD may increase exclusive breastfeeding in settings where rates of exclusive breastfeeding are less common (risk ratio (RR) 1.30, 95% confidence intervals (CI) 1.06 to 1.59; low-certainty evidence), but have little or no effect in settings where almost all women breastfeed (low-certainty evidence). For use of health services, TCCMD may increase antenatal appointment attendance (odds ratio (OR) 1.54, 95% CI 0.80 to 2.96; low-certainty evidence); however, the CI encompasses both benefit and harm. The intervention may increase skilled attendants at birth in settings where a lack of skilled attendants at birth is common (though this differed by urban/rural residence), but may make no difference in settings where almost all women already have a skilled attendant at birth (OR 1.00, 95% CI 0.34 to 2.94; low-certainty evidence). There were uncertain effects on maternal and neonatal mortality and morbidity because the certainty of the evidence was assessed as very low. TCCMD versus non-digital TCC (e.g. pamphlets) TCCMD may have little or no effect on exclusive breastfeeding (RR 0.92, 95% CI 0.79 to 1.07; low-certainty evidence). TCCMD may reduce 'any maternal health problem' (RR 0.19, 95% CI 0.04 to 0.79) and 'any newborn health problem' (RR 0.52, 95% CI 0.25 to 1.06) reported up to 10 days postpartum (low-certainty evidence), though the CI for the latter includes benefit and harm. The effect on health service use is unknown due to a lack of studies. TCCMD versus digital non-targeted communication No studies reported behavioural, health, or well-being outcomes for this comparison. For use of health services, there are uncertain effects for the presence of a skilled attendant at birth due to very low-certainty evidence, and the intervention may make little or no difference to attendance for antenatal influenza vaccination (RR 1.05, 95% CI 0.71 to 1.58), though the CI encompasses both benefit and harm (low-certainty evidence). Pregnant and postpartum women living with HIV TCCMD versus standard care For behaviours, TCCMD may make little or no difference to maternal and infant adherence to antiretroviral (ARV) therapy (low-certainty evidence). For health service use, TCC mobile telephone reminders may increase use of antenatal care slightly (mean difference (MD) 1.5, 95% CI -0.36 to 3.36; low-certainty evidence). The effect on the proportion of births occurring in a health facility is uncertain due to very low-certainty evidence. For health and well-being outcomes, there was an uncertain intervention effect on neonatal death or stillbirth, and infant HIV due to very low-certainty evidence. No studies reported on maternal mortality or morbidity. TCCMD versus non-digital TCC The effect is unknown due to lack of studies reporting this comparison. TCCMD versus digital non-targeted communication TCCMD may increase infant ARV/prevention of mother-to-child transmission treatment adherence (RR 1.26, 95% CI 1.07 to 1.48; low-certainty evidence). The effect on other outcomes is unknown due to lack of studies. Parents of children aged less than five years No studies reported on correct treatment, nutritional, or health outcomes. TCCMD versus standard care Based on 10 trials, TCCMD may modestly increase health service use (vaccinations and HIV care) (RR 1.21, 95% CI 1.08 to 1.34; low-certainty evidence); however, the effect estimates varied widely between studies. TCCMD versus non-digital TCC TCCMD may increase attendance for vaccinations (RR 1.13, 95% CI 1.00 to 1.28; low-certainty evidence), and may make little or no difference to oral hygiene practices (low-certainty evidence). TCCMD versus digital non-targeted communication TCCMD may reduce attendance for vaccinations, but the CI encompasses both benefit and harm (RR 0.63, 95% CI 0.33 to 1.20; low-certainty evidence). No trials in any population reported data on unintended consequences.

AUTHORS' CONCLUSIONS

The effect of TCCMD for most outcomes is uncertain. There may be improvements for some outcomes using targeted communication but these findings were of low certainty. High-quality, adequately powered trials and cost-effectiveness analyses are required to reliably ascertain the effects and relative benefits of TCCMD. Future studies should measure potential unintended consequences, such as partner violence or breaches of confidentiality.

PRENACEL partner - use of short message service (SMS) to encourage male involvement in prenatal care: a cluster randomized trial

Background

The partner has an important role when he participates of the prenatal care as showed in the positive results relate to the mother and the child health. For this reason it is an important strategy to bring future fathers closer to health services and to improve their link with paternity.

Aim

To evaluate whether the implementation of SMS technology, through the PRENACEL program for the partner as a health education program, is a useful supplement to the standard prenatal monitoring.

Methods

A parallel cluster randomized trial was carried out, with the clusters representing primary care health units. The 20 health units with the largest number of pregnant women in 2013 were selected for the study. There was a balance of the health units according to the size of the affiliated population and the vulnerability situation and these were allocated in intervention and control health units by the randomization. The partners of the pregnant women who started prenatal care prior to the 20th week of gestation were the study population of the intervention group. The participants received periodic short text messages via mobile phone with information about the pregnancy and birth. In the control group units the partners, together with the women, received the standard prenatal care.

Results

One hundred eighty-six partners were interviewed, 62 from the PRENACEL group, 73 from the intervention group that did not opt ​​for PRENACEL and 51 from the control group. A profile with a mean age of 30 years was found and the majority of respondents (51.3%) declared themselves as brown race/color. The interviewees presented a mean of 9.3 years of study. The majority of the men (95.2%) cohabited with their partner and 63.7% were classified as socioeconomic class C. The adherence to the PRENACEL program was 53.4%. In relation to the individual results, there was a greater participation of the PRENACEL partners in the prenatal consultations, as well as a greater presence of them accompanying the woman at the moment of the childbirth when compared to the other groups.

Conclusion

The study showed that a health education strategy using communication technology seems to be a useful prenatal care supplement; the intervention had a good acceptability and has a promising role in men’s involvement in prenatal, labour and postpartum care of their partners.

Trial registration

Clinical trial registry: RBR-54zf73, U1111–1163-7761.

A communication and information strategy in health and preparation for childbirth: a randomized cluster trial (PRENACEL)

PRENACEL is a study that incorporates two innovative approaches to maternal and perinatal health: the need to improve women's level of satisfaction with the birthing experience and an assessment of the impacts of information and communication technologies in health. The approaches involve a communication program via short cellphone text messages, developed for Brazilian pregnant women in prenatal care in the Brazilian Unified National Health System. The analysis aims to determine whether the program contributes positively to women's perceived preparedness for childbirth. A randomized cluster trial was performed in 20 primary care units in Ribeirão Preto, São Paulo State, in 2015 and 2016. Data were collected for 1,210 women from interviews and patient charts. The data were submitted to two analytical models, per protocol and intention-to-treat. Women that had received information from the PRENACEL program during pregnancy were more likely to feel prepared for labor and delivery and to feel that prenatal care had helped them feel more prepared. There were also positive impacts on bonding with the newborn and breastfeeding in the delivery room and on knowledge of obstetric interventions. No differences were seen in the other maternal and perinatal outcomes, including women's satisfaction with the birthing care. PRENACEL can help expand women's access to strategic information for them to feel better prepared for the birthing experience.

Barriers to the Use of Mobile Health in Improving Health Outcomes in Developing Countries: Systematic Review

Background

The use of mobile health (mHealth) technologies to improve population-level health outcomes around the world has surged in the last decade. Research supports the use of mHealth apps to improve health outcomes such as maternal and infant mortality, treatment adherence, immunization rates, and prevention of communicable diseases. However, developing countries face significant barriers to successfully implement, sustain, and expand mHealth initiatives to improve the health of vulnerable populations.

Objective

We aimed to identify and synthesize barriers to the use of mHealth technologies such as text messaging (short message service [SMS]), calls, and apps to change and, where possible, improve the health behaviors and health outcomes of populations in developing countries.

Methods

We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist. Deriving search criteria from the review’s primary objective, we searched PubMed and CINAHL using an exhaustive terms search (eg, mHealth, text messaging, and developing countries, with their respective Medical Subject Headings) limited by publication date, English language, and full text. At least two authors thoroughly reviewed each article’s abstract to verify the articles were germane to our objective. We then applied filters and conducted consensus meetings to confirm that the articles met the study criteria.

Results

Review of 2224 studies resulted in a final group of 30 articles for analysis. mHealth initiatives were used extensively worldwide for applications such as maternal health, prenatal care, infant care, HIV/AIDS prevention, treatment adherence, cardiovascular disease, diabetes, and health education. Studies were conducted in several developing countries in Africa, Asia, and Latin America. From each article, we recorded the specific health outcome that was improved, mHealth technology used, and barriers to the successful implementation of the intervention in a developing country. The most prominent health outcomes improved with mHealth were infectious diseases and maternal health, accounting for a combined 20/30 (67%) of the total studies in the analysis. The most frequent mHealth technology used was SMS, accounting for 18/30 (60%) of the studies. We identified 73 individual barriers and grouped them into 14 main categories. The top 3 barrier categories were infrastructure, lack of equipment, and technology gap, which together accounted for 28 individual barriers.

Conclusions

This systematic review shed light on the most prominent health outcomes that can be improved using mHealth technology interventions in developing countries. The barriers identified will provide leaders of future intervention projects a solid foundation for their design, thus increasing the chances for long-term success. We suggest that, to overcome the top three barriers, project leaders who wish to implement mHealth interventions must establish partnerships with local governments and nongovernmental organizations to secure funding, leadership, and the required infrastructure.

Expectations of healthcare quality: A cross-sectional study of internet users in 12 low- and middle-income countries

BACKGROUND

High satisfaction with healthcare is common in low- and middle-income countries (LMICs), despite widespread quality deficits. This may be due to low expectations because people lack knowledge about what constitutes good quality or are resigned about the quality of available services.

METHODS AND FINDINGS

We fielded an internet survey in Argentina, China, Ghana, India, Indonesia, Kenya, Lebanon, Mexico, Morocco, Nigeria, Senegal, and South Africa in 2017 (N = 17,996). It included vignettes describing poor-quality services-inadequate technical or interpersonal care-for 2 conditions. After applying population weights, most of our respondents lived in urban areas (59%), had finished primary school (55%), and were under the age of 50 (75%). Just over half were men (51%), and the vast majority reported that they were in good health (73%). Over half (53%) of our study population rated the quality of vignettes describing poor-quality services as good or better. We used multilevel logistic regression and found that good ratings were associated with less education (no formal schooling versus university education; adjusted odds ratio [AOR] 2.22, 95% CI 1.90-2.59, P < 0.001), better self-reported health (excellent versus poor health; AOR 5.19, 95% CI 4.33-6.21, P < 0.001), history of discrimination in healthcare (AOR 1.47, 95% CI 1.36-1.57, P < 0.001), and male gender (AOR 1.32, 95% CI 1.23-1.41, P < 0.001). The survey did not reach nonusers of the internet thus only representing the internet-using population.

CONCLUSIONS

Majorities of the internet-using public in 12 LMICs have low expectations of healthcare quality as evidenced by high ratings given to poor-quality care. Low expectations of health services likely dampen demand for quality, reduce pressure on systems to deliver quality care, and inflate satisfaction ratings. Policies and interventions to raise people's expectations of the quality of healthcare they receive should be considered in health system quality reforms.

Mobile Web-based Education: Engagement and Satisfaction with HiChart among Pregnant Women

PURPOSE

This study aimed to examine engagement and satisfaction with a mobile web-based education program (HiChart) among pregnant women.

METHODS

A cross-sectional descriptive study was conducted of 97 pregnant women hospitalized for obstetric care. Data were collected from October 1 to November 30, 2016, and were analyzed with descriptive statistics.

RESULTS

Among participants, 16.5% engaged fully with HiChart, while 43.3% engaged partially. The overall satisfaction with HiChart was high. Some main reasons for not engaging with the education were participants' unawareness of the text messages, lack of time, and poor internet connection. The participants suggested that more educational content needed to be covered, such as coping with infant emergencies and information about the neonatal intensive care unit.

CONCLUSION

To increase pregnant women's engagement with mobile web-based education, efforts are needed to strengthen the system of sending text messages as part of mobile web-based education to all patients, to inform pregnant women that an educational web link was sent, and to encourage them to engage with mobile web-based education. Furthermore, it is essential to improve the HiChart service by providing educational content corresponding to users' needs.

Evaluating the use of text message communication in a postpartum patient navigation program for publicly insured women

OBJECTIVE

To compare communication between navigators and women according to follow-up status in a postpartum patient navigation program ("Navigating New Motherhood" [NNM]).

METHODS

This is a mixed methods secondary analysis of text message and email transcripts from NNM. Transcripts were analyzed by number of messages sent, received, and unanswered. Message themes were qualitatively analyzed using constant comparative technique. Bivariable and multivariable tests were conducted.

RESULTS

Most women (98.2%) communicated with navigators via text message. Women who completed postpartum follow-up sent and received more texts than women who did not (7.8 vs. 3.7, p < 0.001 and 11.5 vs. 8.0, p < 0.05, respectively); exchange of ≥6 messages was associated with greater odds of follow-up (adjusted odds ratio 2.89, 95% CI1.13-7.41). Lack of patient response was also associated with lack of follow-up (p < 0.001). Four categories of message themes were identified: Rapport-building, Postpartum Care Coordination, Maternal Health, and Motherhood. Message threads with more Rapport-building or Maternal Health messages were associated with more frequent patient follow-up (p < 0.01 and p < 0.05, respectively), as was average number of emoticons per message thread (2.1 vs. 1.2, p = 0.01).

CONCLUSION

More frequent and multidimensional communication was associated with follow-up in a postpartum patient navigation program.

PRACTICE IMPLICATIONS

Text messaging can serve as a favorable communication platform within patient navigation.

Impact of mobile health interventions during the perinatal period for mothers in low- and middle-income countries: a systematic review protocol

REVIEW QUESTION

The objective of this review is to determine the impact of mother-targeted mobile health (mHealth) education interventions available during the perinatal period in low- and middle-income countries on maternal and newborn outcomes. Thus, the review questions are: what is the impact of mother-targeted mHealth education interventions on.

Effect of a Mobile App on Preoperative Patient Preparation for Major Ambulatory Surgery: Protocol for a Randomized Controlled Trial

BACKGROUND

Inadequate preoperative patient preparation causes organizational, economic, and emotional problems to patients and professionals. In Spain, no current evidence is available on either the rate of compliance or the impact of good compliance with preoperative recommendations by patients in the ambulatory setting. However, it is known that around 25% of surgical cancellations in the major ambulatory surgery (MAS) are due to poor compliance with these recommendations and, therefore, avoidable. Introducing innovative tools based on mobile health (mHealth) apps may help patients meet the preoperative recommendations and, consequently, reduce the rate of cancellations in the ambulatory setting.

OBJECTIVE

The objective of this study was to evaluate the effectiveness of the Listeo+ mHealth app as a tool for improving compliance with preoperative recommendations in MAS versus standard of care (SOC).

METHODS

A multicenter, randomized, open-label clinical trial that compares SOC with the additional use of Listeo+, a specific mHealth app for MAS preoperative patient monitoring, is being conducted. The study will include patients aged ≥18 years with surgical indication for MAS who meet the necessary technological and connectivity requirements. Patients in the control group will receive written preoperative recommendations, while those in the intervention group will additionally use the Listeo+ mHealth app. There will be a competitive recruitment of 790 patients during 6 months in 4 hospitals in Andalusia (Spain) that belong to the National Health System. The primary efficacy outcome is the level of compliance with preoperative recommendations. Secondary outcomes include the rate of cancellations, associated resource consumption, and perceived usability and utility with Listeo+ by participants of the intervention group. Simple randomization 1:1 procedure will be used to allocate patients to each study group.

RESULTS

The technological development of Listeo+ and the integration and interoperability of information systems was completed in September 2017. Subsequently, simulation tests were performed with Listeo+, and a pilot study was initiated with real patients that concluded successfully in October 2017. Patient recruitment began in December 2017 in the 4 participating centers. After an intermediate analysis performed 10 months after the start of the recruitment phase, the data collection and cleaning phases are estimated to be completed in April 2019, and the analysis with the final results will be conducted in July 2019.

CONCLUSIONS

Progress in the integration and interoperability of information systems represents a major step forward in the field of mHealth. The app will allow health professionals to monitor in real-time patients' preparation and critical preoperative recommendations fulfillment. We expect a reduction in avoidable preoperative cancellations due to a lack of or a poor patient preparation. Self-assessed Web-based questionnaires and focus group will provide important information about the perceived usability and utility of Listeo+ app among patients and health care professionals.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/10938.

mHealth resources for asthma and pregnancy care: Methodological issues and social media recruitment. A discussion paper

AIMS

A discussion of methodological issues and social media recruitment to a feasibility study to investigate mHealth resources for asthma and pregnancy care.

BACKGROUND

Pregnant women with asthma are reported to be poorly supported according to an international research. We sought to establish if a mHealth intervention might be feasible and acceptable to them.

DESIGN

A Phase I or modelling study.

METHODS

A project team designed an intervention to address UK national guidelines for the management of asthma during pregnancy, using other resources already accessible on the web. This was made available on a project website optimized for mobile phone usage. Links were Tweeted and advertised on Facebook, asking participants to access the project website, which included links to the resources and before- and after-use questionnaires to establish baseline symptom data and participant views of the resources.

RESULTS

Despite 55,700 Twitter impressions in a 76-day period over winter 2016-2017, this recruitment strategy garnered 402 engagements but only seven respondents for questionnaire 1 and zero respondents for questionnaire 2.

CONCLUSIONS

We could not recruit to this study despite believing that social media recruitment would be effective and we recommend that social media recruitment be used cautiously. Apparently, we did not sufficiently address the theoretical aspects of communications theory and were not clear enough about our key messages. Publication bias may exist about the non-publication of other failed telemedicine studies using social media; this goes largely unreported in some systematic reviews and may influence researchers' decision-making about social media recruitment.

Pregnant women's experiences with an integrated diagnostic and decision support device for antenatal care in Ghana

Background

Quality antenatal care (ANC) is recognised as an opportunity for screening and early identification of pregnancy-related complications. In rural Ghana, challenges with access to diagnostic services demotivate women from ANC attendance and referral compliance, leading to absent or late identification and management of high-risk women. In 2016, an integrated diagnostic and clinical decision support system tagged ‘Bliss4Midwives’ (B4M), was piloted in Northern Ghana. The device facilitated non-invasive screening of pre-eclampsia, gestational diabetes and anaemia at the point-of-care. This study aimed to explore the experiences of pregnant women with B4M, and its influence on service utilisation (“pull effect”) and woman-provider relationships (“woman engagement”).

Methods

Through an embedded study design, qualitative methods including individual semi-structured interviews and non-participant observation were employed. Interviews were conducted with 20 pregnant women and 10 health workers, supplemented by ANC observations in intervention facilities. Secondary data on ANC registrations over a one-year period were extracted from health facility records to support findings on the perceived influence of B4M on service utilisation.

Results

Women’s first impressions of the device were mostly emotive (excitement, fear), but sometimes neutral. Although it is inconclusive whether B4M increased ANC registration, pregnant women generally valued the availability of diagnostic services at the point-of-care. Additionally, by fostering some level of engagement, the intervention made women feel listened to and cared for. Process outcomes of the B4M encounter also showed that it was perceived as improving the skills and knowledge of the health worker, which facilitated trust in diagnostic recommendations and was therefore believed to motivate referral compliance.

Conclusions

This study suggests that mHealth diagnostic and decision support devices enhance woman engagement and trust in health workers skills. There is need for further inquiry into how these interventions influence maternal health service utilization and women’s expectations of pregnancy care.

Electronic supplementary material

The online version of this article (10.1186/s12884-018-1853-7) contains supplementary material, which is available to authorized users.