ReviewIranian journal of public health2023
Outcome's Classification in Mobile Applications Tailored to Parents of Premature Infants: A Systematic Review.
Review in Iranian journal of public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Identification and Assessment of Systematic Reviews for Evidence-Based Guideline Recommendations on Follow-Up of Preterm Born Children: A Mapping Review.Acta paediatrica (Oslo, Norway : 1992) · 2026Review
- Effectiveness of family-centered communication on caregiving ability and health outcomes in premature infants: a systematic review protocol.Systematic reviews · 2026Article
- Review
- The Neo-MILK Web App as a Health Technology to Support Mothers of Preterm and Sick Neonates During Lactation: Usability Study.JMIR pediatrics and parenting · 2025Article
- Optimal Discharge Education: Evidence for Enhancing Family Preparedness for Premature Infants.Journal of multidisciplinary healthcare · 2025Review
- Effects of perinatal mobile apps for couples on psychosocial and parenting outcomes: A systematic review and meta-analysis.PLOS mental health · 2025Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Integration of healthcare services for preterm neonates at home and hospital by mobile technology is an economical and convenient intervention, which is being increasingly applied worldwide. We aimed to classify the outcomes of mobile applications tailored to parents of premature infants. Methods: This systematic review was conducted by searching the six main databases until May 2021. Mobile applications tailored to parents of premature infants and the reported outcomes of this technology were identified and classified. Quality of screened articles checked by MMAT tool. Results: Overall, 10703 articles were retrieved, and after eliminating the duplicated articles, 9 articles were reviewed ultimately. Identified outcomes were categorized into three groups parental, application, and neonatal outcomes. In the parental outcomes, maternal stress/stress coping, parenting self-efficacy, satisfaction, anxiety, partnership advocacy/improved parent-infant relationship, feeling of being safe, reassurance and confidence, increase awareness, as well as discharge preparedness, were identified. In the application outcomes, application usage, ease of use/user-friendly, and usability of the designed application were placed. Finally, the neonatal outcomes include health and clinical items. Conclusion: Mobile applications can be useful in prematurity for educating pregnant mothers, managing stress and anxiety, supporting families, and preparing for discharge. Moreover, due to the coronavirus condition, providing remote services for parents is an appropriate solution to reduce the in-person visits to neonatal care centers. Development of tailored apps can promote the neonates' health and reduce their parents' stress.
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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 OpenQuestion graph.