ArticleDigital health
The role of telemedicine services in changing users' intentions for presenting to the emergency departments in Saudi Arabia.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- The COVID-19 Pandemic and Emergencies in Otolaryngology-Head and Neck Surgery: An Analysis of Patients Presenting to Emergency Rooms in South-West Germany: A Bi-Center Study.Diseases (Basel, Switzerland) · 2024Article
- Breaking the Emergency Room Cycle: The Impact of Telemedicine on Emergency Department Utilization.Cureus · 2024Article
- Healthcare Providers' Experience with Saudi Arabia's 937 Virtual Medical Call Centers and Telehealth.Journal of multidisciplinary healthcare · 2024Article
- A Systematic Review of the Causes, Consequences, and Solutions of Emergency Department Overcrowding in Saudi Arabia.Cureus · 2023Review
- Telemedicine Acceptability Among Patients of Primary Health Care Clinics in the Western Region, Saudi Arabia.Cureus · 2023Article
- The Role of Telemedicine in Prehospital Traumatic Hand Injury Evaluation.Diagnostics (Basel, Switzerland) · 2023Review
- Telehealth and Transformation of Nursing Care in Saudi Arabia: A Systematic Review.International journal of telemedicine and applications · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Emergency department (ED) overcrowding is described as one of the main issues in any hospital. In Saudi Arabia, the ministry of health applied new telemedicine technology to serve patients by using the mobile application, including the Sehha application and 937 medical call center. The main aim of this study is to determine the role of different telemedicine services in changing the intention users' intentions for visiting the emergency departments in Saudi Arabia. Methods: A cross-sectional study was conducted during August 2020 to May 2021 among 319 patients using two telemedicine services in Saudi Arabia, including the medical call center and Sehha smartphone application. The primary endpoint of this study was to determine the number of patients intended to visit ER before and after contacting one of the two telemedicine services and the frequency of people who changed their opinion to visit an ED. Results: This study analyzed the data from 319 patients who completed the survey provided by the Saudi Ministry of Health concerning information related to their health status and ED visits. Among patients that had the intention to visit the ED ( Conclusions: The implemented telemedicine services in Saudi Arabia, namely the Sehha application and medical call center, could reduce those intended to visit ED and consequently reduce the overload of EDs by providing medical advice to patients concerning their minor medical issues.
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.