ReviewJMIR mHealth and uHealth2018
The Usability and Effectiveness of Mobile Health Technology-Based Lifestyle and Medical Intervention Apps Supporting Health Care During Pregnancy: Systematic Review.
Review in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04752787 (The Effect of QR Code Supported Online Breastfeeding Training Given to Pregnant Women Expecting Twin Babies on Breastfeeding Intention and Feeding With Breast Milk in the First Six Months), which is not on this map. Cited by 100 papers, 17 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
The Effect of QR Code Supported Online Breastfeeding Training Given to Pregnant Women Expecting Twin Babies on Breastfeeding Intention and Feeding With Breast Milk in the First Six Months
Who cites it
100 citing papers in PubMed, 17 syntheses or guidelines pooled it, 221 citations in OpenAlex.
- Effectiveness of mobile health applications with behaviour change techniques in improving maternal health outcomes: a systematic review.BMC public health · 2026Pooled it
- The Effect of Smartphone Application-Based Self-Management Interventions Compared to Face-to-Face Diabetic Interventions for Pregnant Women With Gestational Diabetes Mellitus: A Meta-Analysis.Journal of diabetes research · 2025Pooled it
- Which criteria are important in usability evaluation of mHealth applications: an umbrella review.BMC medical informatics and decision making · 2024Pooled it
- Effectiveness of mHealth Apps for Maternal Health Care Delivery: Systematic Review of Systematic Reviews.Journal of medical Internet research · 2024Pooled it
- Mobile health apps for pregnant women usability and quality rating scales: a systematic review.BMC pregnancy and childbirth · 2024Pooled it
- A systematic review of digital interventions for smoking cessation in patients with serious mental illness.Psychological medicine · 2023Pooled it
- Influencing Factors to mHealth Uptake With Indigenous Populations: Qualitative Systematic Review.JMIR mHealth and uHealth · 2023Pooled it
- Addressing Preconception Behavior Change Through Mobile Phone Apps: Systematic Review and Meta-analysis.Journal of medical Internet research · 2023Pooled it
- Barriers to and Facilitators of Using eHealth to Support Gestational Diabetes Mellitus Self-management: Systematic Literature Review of Perceptions of Health Care Professionals and Women With Gestational Diabetes Mellitus.Journal of medical Internet research · 2022Pooled it
- Systematic Review of Interventions Addressing Food Insecurity in Pregnant Women and New Mothers.Current nutrition reports · 2022Pooled it
- Effects of mHealth on the psychosocial health of pregnant women and mothers: a systematic review.BMJ open · 2022Pooled it
- Effectiveness and Usability of Digital Tools to Support Dietary Self-Management of Gestational Diabetes Mellitus: A Systematic Review.Nutrients · 2021Pooled it
- Comprehensively addressing postpartum maternal health: a content and image review of commercially available mobile health apps.BMC pregnancy and childbirth · 2021Pooled it
- Mobile Phone Apps in Australia for Improving Pregnancy Outcomes: Systematic Search on App Stores.JMIR mHealth and uHealth · 2020Pooled it
- Exclusively Digital Health Interventions Targeting Diet, Physical Activity, and Weight Gain in Pregnant Women: Systematic Review and Meta-Analysis.JMIR mHealth and uHealth · 2020Pooled it
- Mobile Phone-Based Behavioral Interventions in Pregnancy to Promote Maternal and Fetal Health in High-Income Countries: Systematic Review.JMIR mHealth and uHealth · 2020Pooled it
- Effects of Social Media and Mobile Health Apps on Pregnancy Care: Meta-Analysis.JMIR mHealth and uHealth · 2019Pooled it
- Further development and (cost-)effectiveness of the Smarter Pregnancy lifestyle program tailored for pregnant women with obesity (HYGEIA trial).BMC pregnancy and childbirth · 2026Trial
- Effects of a Mobile Health Intervention on Weight Control and Pregnancy Outcomes in Overweight Pregnant Women: A Randomized Controlled Trial.Maternal and child health journal · 2025Trial
- Effects of a Mobile Health Intervention Based on Behavioral Integrated Model on Cognitive and Behavioral Changes in Gestational Weight Management: Randomized Controlled Trial.Journal of medical Internet research · 2025Trial
40 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA growing number of mobile health (mHealth) technology-based apps are being developed for personal lifestyle and medical health care support, of which several apps are related to pregnancy. Evidence on usability and effectiveness is limited but crucial for successful implementation.
objectiveThis study aimed to evaluate the usability, that is, feasibility and acceptability, as well as effectiveness of mHealth lifestyle and medical apps to support health care during pregnancy in high-income countries. Feasibility was defined as the actual use, interest, intention, and continued use; perceived suitability; and ability of users to carry out the activities of the app. Acceptability was assessed by user satisfaction, appreciation, and the recommendation of the app to others.
methodsWe performed a systematic review searching the following electronic databases for studies on mHealth technology-based apps in maternal health care in developed countries: EMBASE, MEDLINE Epub (Ovid), Cochrane Library, Web of Science, and Google Scholar. All included studies were scored on quality, using the ErasmusAGE Quality Score or the consolidated criteria for reporting qualitative research. Main outcome measures were usability and effectiveness of mHealth lifestyle and medical health care support apps related to pregnancy. All studies were screened by 2 reviewers individually, and the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement were followed.
resultsOur search identified 4204 titles and abstracts, of which 2487 original studies remained after removing duplicates. We performed full-text screening of 217 studies, of which 29 were included in our study. In total, 19 out of 29 studies reported on mHealth apps to adopt healthy lifestyles and 10 out of 29 studies to support medical care. The lifestyle apps evaluated in 19 studies reported on usability and effectiveness: 10 studies reported positive on acceptability, and 14 studies reported on feasibility with positive results except one study. In total, 4 out of 19 studies evaluating effectiveness showed significant results on weight gain restriction during pregnancy, intake of vegetables and fruits, and smoking cessation. The 10 studies on medical mHealth apps involved asthma care, diabetic treatment, and encouraging vaccination. Only one study on diabetic treatment reported on acceptability with a positive user satisfaction. In total, 9 out of 10 studies reported on effectiveness. Moreover, the power of most studies was inadequate to show significant effects.
conclusionsMost studies on mHealth apps to support lifestyle and medical care for high-income countries reveal the usability of these apps to reduce gestational weight gain, increase intakes of vegetables and fruit, to quit smoking cessation, and to support health care for prevention of asthma and infections during pregnancy. In general, the evidence on effectiveness of these apps is limited and needs further investigation before implementation in medical health care.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.