ArticleJournal of healthcare engineering2021
The Development and Usability Assessment of an mHealth Application to Encourage Self-Care in Pregnant Women against COVID-19.
Article in Journal of healthcare engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.
- Design and development of a mobile-based self-care application for patients with depression and anxiety disorders.BMC medical informatics and decision making · 2023Pooled it
- Cognitive training using a mobile app as a coping tool against COVID-19 distress: A crossover randomized controlled trial.Journal of affective disorders · 2022Trial
- Design and Usability Evaluation of a Smartphone Application for Postoperative Self-Management in Breast Cancer Patients.Cancer medicine · 2026Article
- Effectiveness of a developed self-care mobile application for chest trauma patients: an interventional study.BMC health services research · 2026Article
- Health Literacy and Self-care among Pregnant Women in a Low Income Country: A Pilot Study in Indonesia.Ethiopian journal of health sciences · 2025Article
- The persian version of mhealth app usability questionnaire (MAUQ) for patients: a psychometric assessment study.BMC medical informatics and decision making · 2025Article
- Prenatal mobile applications reported in the scientific literature: a scoping review.Revista da Escola de Enfermagem da U S P · 2025Article
- The psychometric assessment of the provider version of mHealth App Usability Questionnaire (MAUQ) in persian language.BMC medical informatics and decision making · 2024Article
- Design, development and evaluation of registry software for upper limb disabilities.Healthcare technology letters · 2024Article
- Stress Coping Strategies of Pregnant Women during COVID-19 Pandemic: a Literature Review.Maedica · 2024Article
- A national platform for advancing self-care processes for the most common illnesses and conditions: designing, evaluating, and implementing.BMC medical informatics and decision making · 2024Article
- Article
- Design and development of a self-care application for patients with liver cirrhosis.Gastroenterology and hepatology from bed to bench · 2024Article
- Utilization of telehealth services in low- and middle-income countries amid the COVID-19 pandemic: a narrative summary.Global health action · 2023Review
- Barriers and facilitators of using health information technologies by women: a scoping review.BMC medical informatics and decision making · 2023Article
- An intelligent decision support system for acute postoperative endophthalmitis: design, development and evaluation of a smartphone application.BMC medical informatics and decision making · 2023Article
- Development and usability evaluation of a mHealth application for albinism self-management.BMC medical informatics and decision making · 2023Article
- Lessons from digital technology-enabled health interventions implemented during the coronavirus pandemic to improve maternal and birth outcomes: a global scoping review.BMC pregnancy and childbirth · 2023Article
- Self-care for coronavirus disease through electronic health technologies: A scoping review.Health science reports · 2023Article
- Vitamins and minerals, education, and self-care need during preconception to 1000 days of life in Southeast Asia: An expert panel opinion.SAGE open medicine · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has caused serious concerns in pregnant women. Self-care mHealth applications can provide helpful guidelines for COVID-19 prevention or management in case of infection. This study aimed to develop and then assess a self-care smartphone-based application to provide self-care for pregnant women against COVID-19. The present study was conducted in two phases. First, a needs assessment was performed based on the opinions of 30 obstetricians and pregnant women. Then, relying on the results, a smartphone-based application was prototyped and assessed in terms of its usability and user satisfaction. To assess the application, 36 pregnant women (11 infected with COVID-19) were asked to use the application for a week. The QUIS questionnaire 5.5 was used for assessment, and the results were analyzed via descriptive statistics in SPSS 23. According to the obstetricians and pregnant women, of the 41 information requirements, 35 data elements were noted to be essential in the needs assessment. Features of the application were placed in four categories of User's Profile, Lifestyle, Disease Management and Control, and Application Functions (e.g., introducing high-risk places in terms of COVID-19 prevalence in each city, introducing specialized COVID-19 medical centers to pregnant women to receive services, medication management, stress management and control, nutrition and diet management, sleep management, contacting physicians, doctor's appointment reminder, searching the available educational materials, and making application adjustments such as text font, size, and color). With an average score of 7.94 (out of 9), pregnant women rated the application at a good level. The application can be used to reduce anxiety and stress about COVID-19 in mothers, provide access to reliable information to answer possible questions, identify high-risk locations, and provide pregnant women with instant access to healthcare facilities and information related to COVID-19 self-care processes.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.