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      eHealth as the Next-Generation Perinatal Care: An Overview of the Literature

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          Abstract

          Background

          Unrestricted by time and place, electronic health (eHealth) provides solutions for patient empowerment and value-based health care. Women in the reproductive age are particularly frequent users of internet, social media, and smartphone apps. Therefore, the pregnant patient seems to be a prime candidate for eHealth-supported health care with telemedicine for fetal and maternal conditions.

          Objective

          This study aims to review the current literature on eHealth developments in pregnancy to assess this new generation of perinatal care.

          Methods

          We conducted a systematic literature search of studies on eHealth technology in perinatal care in PubMed and EMBASE in June 2017. Studies reporting the use of eHealth during prenatal, perinatal, and postnatal care were included. Given the heterogeneity in study methods, used technologies, and outcome measurements, results were analyzed and presented in a narrative overview of the literature.

          Results

          The literature search provided 71 studies of interest. These studies were categorized in 6 domains: information and eHealth use, lifestyle (gestational weight gain, exercise, and smoking cessation), gestational diabetes, mental health, low- and middle-income countries, and telemonitoring and teleconsulting. Most studies in gestational diabetes and mental health show that eHealth applications are good alternatives to standard practice. Examples are interactive blood glucose management with remote care using smartphones, telephone screening for postnatal depression, and Web-based cognitive behavioral therapy. Apps and exercise programs show a direction toward less gestational weight gain, increase in step count, and increase in smoking abstinence. Multiple studies describe novel systems to enable home fetal monitoring with cardiotocography and uterine activity. However, only few studies assess outcomes in terms of fetal monitoring safety and efficacy in high-risk pregnancy. Patients and clinicians report good overall satisfaction with new strategies that enable the shift from hospital-centered to patient-centered care.

          Conclusions

          This review showed that eHealth interventions have a very broad, multilevel field of application focused on perinatal care in all its aspects. Most of the reviewed 71 articles were published after 2013, suggesting this novel type of care is an important topic of clinical and scientific relevance. Despite the promising preliminary results as presented, we accentuate the need for evidence for health outcomes, patient satisfaction, and the impact on costs of the possibilities of eHealth interventions in perinatal care. In general, the combination of increased patient empowerment and home pregnancy care could lead to more satisfaction and efficiency. Despite the challenges of privacy, liability, and costs, eHealth is very likely to disperse globally in the next decade, and it has the potential to deliver a revolution in perinatal care.

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          Most cited references87

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          Assessing the Effect of mHealth Interventions in Improving Maternal and Neonatal Care in Low- and Middle-Income Countries: A Systematic Review

          Introduction Maternal and neonatal mortality remains high in many low- and middle-income countries (LMIC). Availability and use of mobile phones is increasing rapidly with 90% of persons in developing countries having a mobile-cellular subscription. Mobile health (mHealth) interventions have been proposed as effective solutions to improve maternal and neonatal health. This systematic review assessed the effect of mHealth interventions that support pregnant women during the antenatal, birth and postnatal period in LMIC. Methods The review was registered with Prospero (CRD42014010292). Six databases were searched from June 2014–April 2015, accompanied by grey literature search using pre-defined search terms linked to pregnant women in LMIC and mHealth. Quality of articles was assessed with an adapted Cochrane Risk of Bias Tool. Because of heterogeneity in outcomes, settings and study designs a narrative synthesis of quantitative results of intervention studies on maternal outcomes, neonatal outcomes, service utilization, and healthy pregnancy education was conducted. Qualitative and quantitative results were synthesized with a strengths, weaknesses, opportunities, and threats analysis. Results In total, 3777 articles were found, of which 27 studies were included: twelve intervention studies and fifteen descriptive studies. mHealth interventions targeted at pregnant women increased maternal and neonatal service utilization shown through increased antenatal care attendance, facility-service utilization, skilled attendance at birth, and vaccination rates. Few articles assessed the effect on maternal or neonatal health outcomes, with inconsistent results. Conclusion mHealth interventions may be effective solutions to improve maternal and neonatal service utilization. Further studies assessing mHealth’s impact on maternal and neonatal outcomes are recommended. The emerging trend of strong experimental research designs with randomized controlled trials, combined with feasibility research, government involvement and integration of mHealth interventions into the healthcare system is encouraging and can pave the way to improved decision making on best practice implementation of mHealth interventions.
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            Effectiveness of mHealth interventions for maternal, newborn and child health in low– and middle–income countries: Systematic review and meta–analysis

            Objective To assess the effectiveness of mHealth interventions for maternal, newborn and child health (MNCH) in low– and middle–income countries (LMIC). Methods 16 online international databases were searched to identify studies evaluating the impact of mHealth interventions on MNCH outcomes in LMIC, between January 1990 and May 2014. Comparable studies were included in a random–effects meta–analysis. Findings Of 8593 unique references screened after de–duplication, 15 research articles and two conference abstracts met inclusion criteria, including 12 intervention and three observational studies. Only two studies were graded at low risk of bias. Only one study demonstrated an improvement in morbidity or mortality, specifically decreased risk of perinatal death in children of mothers who received SMS support during pregnancy, compared with routine prenatal care. Meta–analysis of three studies on infant feeding showed that prenatal interventions using SMS/cell phone (vs routine care) improved rates of breastfeeding (BF) within one hour after birth (odds ratio (OR) 2.01, 95% confidence interval (CI) 1.27–2.75, I2 = 80.9%) and exclusive BF for three/four months (OR 1.88, 95% CI 1.26–2.50, I2 = 52.8%) and for six months (OR 2.57, 95% CI 1.46–3.68, I2 = 0.0%). Included studies encompassed interventions designed for health information delivery (n = 6); reminders (n = 3); communication (n = 2); data collection (n = 2); test result turnaround (n = 2); peer group support (n = 2) and psychological intervention (n = 1). Conclusions Most studies of mHealth for MNCH in LMIC are of poor methodological quality and few have evaluated impacts on patient outcomes. Improvements in intermediate outcomes have nevertheless been reported in many studies and there is modest evidence that interventions delivered via SMS messaging can improve infant feeding. Ambiguous descriptions of interventions and their mechanisms of impact present difficulties for interpretation and replication. Rigorous studies with potential to offer clearer evidence are underway.
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              Review: engaging patients as vigilant partners in safety: a systematic review.

              Several initiatives promote patient involvement in error prevention, but little is known about its feasibility and effectiveness. A systematic review was conducted on the evidence of patients' attitudes toward engagement in error prevention and the effectiveness of efforts to increase patient participation. Database searches yielded 3,840 candidate articles, of which 21 studies fulfilled the inclusion criteria. Patients share a positive attitude about engaging in their safety at a general level, but their intentions and actual behaviors vary considerably. Studies applied theories of planned behavior and indicate that self-efficacy, preventability of incidents, and effectiveness of actions seem to be central to patients' intention to engage in error prevention. Rigorous evaluations of major educational campaigns are lacking. Interventions embedded within clinical settings have been effective to some extent. Evidence suggests that involvement in safety may be successful if interventions promote complex behavioral change and are sensitively implemented in health care settings.
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                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J. Med. Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications (Toronto, Canada )
                1439-4456
                1438-8871
                June 2018
                05 June 2018
                : 20
                : 6
                : e202
                Affiliations
                [1] 1 Division of Woman and Baby University Medical Center Utrecht Utrecht University Utrecht Netherlands
                [2] 2 Department of Clinical Chemistry and Hematology University Medical Center Utrecht Utrecht University Utrecht Netherlands
                Author notes
                Corresponding Author: Josephus FM van den Heuvel jheuve10@ 123456umcutrecht.nl
                Author information
                http://orcid.org/0000-0002-1285-1019
                http://orcid.org/0000-0002-7315-3409
                http://orcid.org/0000-0001-5245-3747
                http://orcid.org/0000-0003-2867-2581
                http://orcid.org/0000-0001-6356-7707
                http://orcid.org/0000-0001-8801-5546
                http://orcid.org/0000-0002-7372-4291
                Article
                v20i6e202
                10.2196/jmir.9262
                6008510
                29871855
                01d7fd6a-9b53-455f-8b73-73f8e20ce908
                ©Josephus FM van den Heuvel, T Katrien Groenhof, Jan HW Veerbeek, Wouter W van Solinge, A Titia Lely, Arie Franx, Mireille N Bekker. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 05.06.2018.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 2 November 2017
                : 14 December 2017
                : 19 January 2018
                : 10 March 2018
                Categories
                Review
                Review

                Medicine
                pregnancy,ehealth,telemedicine,pregnancy complications,fetal monitoring,patient-centered care,pregnancy, high risk,diabetes, gestational,remote consultation,ambulatory monitoring,obstetrics,perinatal care,antenatal care

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