Mobile Technologies in Achieving and Maintaining Asthma Control in Children: First Results of MedQuizBot Chat Bot
Open accessAbstract
Background. Anti-inflammatory therapy is used to achieve and maintain asthma control, as well as respiratory function indicators monitoring. Telemedicine technologies can be used for this purpose, and it became particularly essential during the COVID-19 pandemic. Objective. The aim of the study is to analyze efficacy of the mobile technology MedQuizBot for asthma monitoring, to estimate patient compliance to use such instruments of self-control via the bot and without it, and bot's functioning satisfaction. Methods. 6-month prospective observational comparative study in patients with asthma from 4 to 17 years old was conducted. All patients were divided into two groups: patients who have used MedQuizBot and patients who have used any other self-control tools. Patients had to enter peakflowmetry data daily and undergo asthma control tests monthly. Patients were able to communicate with their doctor remotely via the chat bot. Main study indicators: determining the efficacy of MedQuizBot in patients with asthma by estimating the compliance to self-control tools at using the bot. Secondary study indicators: estimation of patients satisfaction on using the MedQuizBot and determination of level of asthma control due to the obtained data results. Results. 41 patients have used MedQuizBot, 27 patients were in the control group. Patients who used the bot more often answered asthma control test questions. Patients over 12 years old have completed the asthma control test less often than young children: ACT was filled on average in 1.5 times, САСТ — 1.8 times. 51% of patients filled in data on peakflowmetry via the new technology, patients from control group did not start the picflowmetry diary. Patients under 12 years old, who filled up the test with their parents, has entered picflowmetry data 7 times more often than adolescents. The asthma was under control in 70% of patients. The data was entered into the system 2.5 times more often during the lockdown period due to COVID-19 pandemic and during the tree flowering season in comparison to other periods of2020. Patients noted the usability of the MedQuizBot and agreed to use it in future. Conclusion. MedQuizBot is effective in achieving asthma control mainly during the period of need — in case of insufficient control over the disease itself (exposure to pollen allergens, acute respiratory diseases), during the limitations in medical care availability.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Methodological quality was poor in 4 studies (≤14).
“poor (≤14) in the other 4 studies [50,54,56,73]”
From Effectiveness and Acceptability of Asynchronous Digital Health in Asthma Care: Mixed Methods Systematic Review (2024) · cites this paper as [54]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 9 · Cited by 5
- Authors
- Arimova, P. S., Namazova-Baranova, L. S., Levina, J. G., Kalugina, V. G., Vishneva, E. A., & Kharitonova, E. Y.
- Affiliations
- Russian Academy of Sciences (RU)
- Belgorod National Research University (RU)
- Research Institute of Pediatrics and Children's Health in Central Clinical Hospital of the Russian Academy of Sciences
- Research Institute of Pediatrics and Children's Health in Central Clinical Hospital of the Russian Academy of Sciences; Pirogov Russian National Research Medical University
- Pirogov Russian National Research Medical University (RU)
- ORCID
- Venue
- Pediatric pharmacology
- Publisher
- Paediatrician Publishers LLC
- Published
- 2021-07-30
- Volume
- 18
- Issue
- 3
- Pages
- 214-220
- ISSN
- 1727-5776 (ISSN-L)
- 2500-3089
- OpenAlex
- W3188600431
- Cited by
- 5
- References
- 9
- Citations by year
- 2024: 3 · 2022: 1 · 2021: 1
- FWCI
- 1.41
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Педиатрическая фармакология (publishedVersion, cc-by-nc)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Педиатрическая фармакология (submittedVersion, cc-by-nc)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Physiology › Asthma and respiratory diseases
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Keywords
- childhood asthma, asthma control, chatbots, mobile health, telemedicine, Asthma Control Test, medication adherence, patient satisfaction, COVID-19 lockdown, pollen allergens
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review