Trial reportInternational journal of community based nursing and midwifery2023
Usability and Quality Evaluation of the "E- Midwife" Mobile Application for Nurse-Midwives in Obstetric Complications: A Randomized Controlled Trial.
Trial report in International journal of community based nursing and midwifery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- Mobile health apps for pregnant women usability and quality rating scales: a systematic review.BMC pregnancy and childbirth · 2024Pooled it
- Evaluation of The Utilization of The iPosyandu Application in Enhancing Midwives' Competence in Early Pregnancy Detection Services: Mixed Methods Study.International journal of women's health · 2025Article
- Content, Behaviour Change Techniques, and Quality of Postpartum Depression Apps to Be Recommended by Midwives: Systematic Search and Evaluation.Nursing reports (Pavia, Italy) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Obstetric complications are illnesses that develop during childbirth. Smartphones, which facilitate the use of prompt features in the early diagnosis of challenges and quick delivery of respectful maternity care, are one of the most recent advances in health technology. The key objective of this project is to evaluate the usability and quality of the "E-Midwife" mobile application for nurse-midwives, which focuses on obstetric complications. Methods: This study is a component of a randomized controlled trial on nurse-midwives. This project followed a four-step approach: content development phase, app design phase, app development phase, and usability testing phase. The app was developed using extensive flowcharts, a definition of the navigational framework, a structured database, and user-friendly software. 140 out of the 196 nurse-midwives were allocated to the intervention (n=70) and control group (n=70), using random allocation. The intervention group used the application for 8 weeks. Usability and quality of the application were assessed using the system usability scale and the mobile application rating scale, respectively. SPSS statistical software, version 17, was used to analyze the dat. Results: The overall score of the usability testing of E-Midwife was 82.75±0.68. The total mean score of quality was 3.77±0.86. Therefore, it was shown to have good usability and quality. Conclusion: The E-midwife mobile application has a high usability and quality which makes its usage effective and efficient. It is recommended that these similar mobile apps should be used along with other educational methods for educating the nurse-midwives.
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.