Observational studyJMIR mHealth and uHealth2020
Using eHealth to Support COVID-19 Education, Self-Assessment, and Symptom Monitoring in the Netherlands: Observational Study.
Observational study in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 4 of them syntheses 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
46 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Facilitators and barriers of mHealth interventions during the Covid-19 pandemic: systematic review.BMC health services research · 2023Pooled it
- The Role of Digital Technology in Curbing COVID-19.International journal of environmental research and public health · 2022Pooled it
- COVID-19 Mobile Apps: A Systematic Review of the Literature.Journal of medical Internet research · 2020Pooled it
- Telehealth-Based Services During the COVID-19 Pandemic: A Systematic Review of Features and Challenges.Frontiers in public healthPooled it
- Evaluating the effect of infographics on public recall, sentiment and willingness to use face masks during the COVID-19 pandemic: a randomised internet-based questionnaire study.BMC public health · 2021Trial
- Feasibility, utility, usability and acceptance of a multimodal telemonitoring for COVID-19 patients in general practitioners practices in Germany: a mixed methods study with patients.BMC health services research · 2025Article
- Analysis of the status of leprosy symptom surveillance in Guangdong province: an exploring effort to promote early detection.BMC public health · 2025Article
- Review
- Mobile Phone Syndromic Surveillance for Respiratory Conditions in an Emergency (COVID-19) Context in Colombia: Representative Survey Design.Journal of medical Internet research · 2024Article
- COVID-19 Vaccine Effectiveness and Digital Pandemic Surveillance in Germany (eCOV Study): Web Application-Based Prospective Observational Cohort Study.Journal of medical Internet research · 2024Observational
- Multilingual Framework for Risk Assessment and Symptom Tracking (MRAST).Sensors (Basel, Switzerland) · 2024Article
- Utilisation of the web-based Home Assessment Tool among patients with COVID-19 in Selangor, Malaysia: An observational study.Malaysian family physician : the official journal of the Academy of Family Physicians of Malaysia · 2024Article
- Design, development and evaluation of a mobile-based self-care application for patients with COVID-19 not requiring hospitalization; a study of Northwest of Iran.BMC medical informatics and decision making · 2023Article
- Evaluating the Added Value of Digital Contact Tracing Support Tools for Citizens: Framework Development.JMIR research protocols · 2023Article
- Article
- Formative Evaluation of a Student Symptom Decision Tree for COVID-19.Health behavior and policy review · 2023Article
- Self-care for coronavirus disease through electronic health technologies: A scoping review.Health science reports · 2023Article
- Use of and Satisfaction With Mobile Health Education During the COVID-19 Pandemic in Thailand: Cross-sectional Study.JMIR formative research · 2023Article
- Health care professionals' perspectives on the utilisation of a remote surveillance and care tool for patients with COVID-19 in general practice: a qualitative study.BMC primary care · 2022Article
- Online symptoms self-assessment during COVID-19 pandemic: an analysis of a COVID-19 portal responses from Canada.Scientific reports · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe coronavirus disease (COVID-19) situation demands a lot from citizens, health care providers, and governmental institutions. Citizens need to cope with guidelines on social interaction, work, home isolation, and symptom recognition. Additionally, health care providers and policy makers have to cope with unprecedented and unpredictable pressure on the health care system they need to manage. By providing citizens with an app, they always have access to the latest information and can assess their own health. This data could be used to support policy makers and health care providers to get valuable insights in the regional distribution of infection load and health care consumption.
objectiveThe aim of this observational study is to assess people's use of an app to support them with COVID-19 education, self-assessment, and monitoring of their own health for a 7-day period. In addition, we aim to assess the usability of this data for health care providers and policy makers by applying it to an interactive map and combining it with hospital data. The secondary outcomes of the study were user's satisfaction with the information provided in the app, perceived usefulness of the app, health care providers they contacted, and the follow-up actions from this contact.
methodsThis observational cohort study was carried out at the nonacademic teaching hospital "Elisabeth Twee Steden" (ETZ) in Tilburg, Netherlands. From April 1, 2020, onwards ETZ offered the COVID-19 education, self-assessment, and symptom tracking diary to their already existing app for patient education and monitoring.
resultsBetween April 1 and April 20, 2020, a total of 6194 people downloaded the app. The self-assessment functionality was used abundantly to check one's health status. In total, 5104 people responded to the question about severe symptoms, from which 242 indicated to suffer from severe symptoms. A total of 4929 people responded to the question about mild symptoms, from which 3248 indicated to suffer from these. The data was successfully applied to an interactive map, displaying user demographics and health status. Furthermore, the data was linked to clinical data. App users were satisfied with the information in the app and appreciated the symptom diary functionality. In total, 102 users reached out to a health care provider, leading to 91 contacts.
conclusionsOur study demonstrated the successful implementation and use of an app with COVID-19 education, self-assessment, and a 7-day symptom diary. Data collected with the app were successfully applied to an interactive map. In addition, we were able to link the data to COVID-19 screening results from the hospital's microbiology laboratory. This data could be used to support policy makers and health care providers to get valuable insights in the regional distribution of infection load and health care consumption.
trial registrationNetherlands Trial Register NL8501; https://www.trialregister.nl/trial/8501.
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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.