ArticleJournal of education and health promotion2021
Training pain management to nursing students: Designing, implementing, and evaluating a mobile-based application.
Article in Journal of education and health promotion, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Mobile applications for ophthalmology: a quantitative and qualitative analysis.BMC health services research · 2026Pooled it
- Impact of an algorithm-based postoperative pain management in patients undergoing abdominal surgery-A prospective interventional study.Journal of education and health promotion · 2026Article
- Identifying self-care needs of patients with chronic obstructive pulmonary disease to design a mobile phone application-based self-care program.Journal of education and health promotion · 2026Article
- Polycystic ovary syndrome (PCOS) management using a nutrition recommender mobile application: identifying key requirements.BMC women's health · 2025Article
- The effect of educational intervention based on mobile learning on the knowledge and self-efficacy of healthcare providers in vaccination.Journal of education and health promotion · 2025Article
- Nurses' Roles in mHealth App Development: Scoping Review.JMIR nursing · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPain is a common health issue and acute pain is the main problem for patients after surgery and injury. Inadequate and inappropriate management of pain is dangerous and costly for patients and leads to undesirable health effects. To overcome this problem, empowerment of the health-care team, especially nurses, is essential. Today, to improve the quality of health-care provision, various methods are used that e-learning is one of them. MATERIALS AND
methodsBased on the studies on pain management, existing parameters were extracted, and according to them, the educational content of the software was approved by nursing professors and anesthesiologists. The Unified Modeling Language diagrams were designed to provide a better understanding of the entities and the order in which the software operates. The software was implemented in the google android studio environment using Photoshop and JQuery mobile. Finally, the software was evaluated by using Questionnaire for User Interface Satisfaction. The software was evaluated by experts and students in two stages. The first stage was evaluated by eight anesthesiologists and nursing professors, and the second stage was evaluated with the participation of 55 undergraduate students and 28 M.Sc. nursing students.
resultsThe software was developed with two main modules of training and testing, and sections of the report, about us and exit, and four scenarios for the test section. In the initial evaluation of software by experts with an average of 91.85%, and in the second assessment of students, with a mean of 78.15%, application software was evaluated at a good level.
conclusionsIn order to teach academic and practical (clinical) materials to students, the use of digital teaching aids and e-learning, along with traditional methods such as lectures, increases the students' eagerness, and motivation to learn more and thereby enhance the level of learning and improving the quality of education.
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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.