Evidence map›Paper›PMID 29788482›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2018

A telehealth system for automated diagnosis of asthma and chronical obstructive pulmonary disease.

Lejla Gurbeta, Almir Badnjevic, Mirjana Maksimovic, Enisa Omanovic-Miklicanin, Ervin Sejdic

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04820790 (Mobile Application for Monitoring Patients With Home Oxygen. A Protocol of a Randomized and Controlled Clinical Trial.), which is not on this map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
21.8field-weighted citation impact, top 1% of its field
1 · What the graph read from 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.

2 · The registry

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.

NCT04820790 nacompletednot on this mapstarted 2023, after this paper: background citation

Mobile Application for Monitoring Patients With Home Oxygen. A Protocol of a Randomized and Controlled Clinical Trial.

TypeinterventionalSponsorToDoMedRan2023 to 2024Enrolled45ConditionsOxygen-therapyArmsMobile applications
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 79 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. A Service-oriented Framework for Developing Personalized Patient Care Plans for COVID-19.Proceedings of the ... International Conference on Digital Government Research. International Conference on Digital Government Research · 2021
    Article
  6. Article
  7. Article
  8. Review
  9. IoT-Based Applications in Healthcare Devices.Journal of healthcare engineering · 2021
    Review
  10. Article
  11. Article
  12. Personalized medicine for patients with COPD: where are we?International journal of chronic obstructive pulmonary disease · 2019
    Review
  13. Acoustic Methods for Pulmonary Diagnosis.IEEE reviews in biomedical engineering · 2019
    Review
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 2 countries.

Lejla GurbetaVerlab Ltd Sarajevo, International Burch University Sarajevo, Francuske revolucije bb, Sarajevo, Bosnia and Herzegovina.
Almir BadnjevicVerlab Ltd Sarajevo, International Burch University Sarajevo, Francuske revolucije bb, Sarajevo, Bosnia and Herzegovina.
Mirjana MaksimovicFaculty of Electrical Engineering, University of East Sarajevo, Sarajevo, Bosnia and Herzegovina.
Enisa Omanovic-MiklicaninFaculty of Agriculture and Food Sciences, University of Sarajevo, Sarajevo, Bosnia and Herzegovina.
Ervin SejdicDepartment of Electrical and Computer Engineering, Swan-son School of Engineering, University of Pittsburgh, Pennsylvania, USA.
Verlab (Bosnia and Herzegovina) · BAUniversity of East Sarajevo · BAUniversity of Pittsburgh · USUniversity of Sarajevo · BA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents the development and real-time testing of an automated expert diagnostic telehealth system for the diagnosis of 2 respiratory diseases, asthma and Chronic Obstructive Pulmonary Disease (COPD). The system utilizes Android, Java, MATLAB, and PHP technologies and consists of a spirometer, mobile application, and expert diagnostic system. To evaluate the effectiveness of the system, a prospective study was carried out in 3 remote primary healthcare institutions, and one hospital in Bosnia and Herzegovina healthcare system. During 6 months, 780 patients were assessed and diagnosed with an accuracy of 97.32%. The presented approach is simple to use and offers specialized consultations for patients in remote, rural, and isolated communities, as well as old and less physically mobile patients. While improving the quality of care delivered to patients, it was also found to be very beneficial in terms of healthcare.

Indexed as

Expert SystemsMobile ApplicationsTelemedicineAdultAsthmaFemaleHumansMaleMiddle AgedProspective StudiesPulmonary Disease, Chronic ObstructiveSpirometry

Identifiers

PMID29788482
PMCPMC7646878
OpenAlexW2804868450

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.