ReviewTanaffos2021
Telemedicine Services in Chronic Obstructive Pulmonary Disease: A Systematic Review of Patients' Adherence.
Review in Tanaffos, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- A Systematic Review of Health Management Mobile Applications in COVID-19 Pandemic: Features, Advantages, and Disadvantages.BioMed research international · 2024Pooled it
- Telerehabilitation Interventions That Improve Adherence to Pulmonary Rehabilitation in Patients With Chronic Respiratory Diseases: A Realist Review.Journal of clinical nursing · 2026Review
- Consideration of Sex, Gender, or Age on Outcomes of Digital Technologies for Treatment and Monitoring of Chronic Obstructive Pulmonary Disease: Overview of Systematic Reviews.Journal of medical Internet research · 2023Review
- Review
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 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The current systematic review aimed to determine the effect of telemedicine services on adherence in patients with chronic obstructive pulmonary disease (COPD) and to describe the type of adherence and applied devices and modules. Materials and Methods: We reviewed PubMed, Scopus, Web of Science, and Embase databases to identify relevant studies from the time of inception of these databases to March 10, 2019, using three groups of keywords. The first group comprised words describing COPD, the second group included words describing types of telemedicine interventions, and the third group contained words describing adherence. The reference list of identified articles was also hand-searched to retrieve possibly relevant articles. Results: In total 21 articles were included, in which 13 reported a positive effect for telemedicine on patients' adherence. Adherence to treatment was classified under six categories. The highest frequency belongs to the adherence to performing exercises and participation in training sessions, using the system, using devices, measuring (like blood pressure, oxygen saturation, heart rate, weight, temperature, sputum volume) and reporting symptoms and the results of measurements, completing tasks, and medication. Conclusion: This study demonstrated the effectiveness of telemedicine services on adherence to treatment plans in patients with COPD. The following factors contribute to the effectiveness of telemedicine services: patient support by healthcare professionals and easy access to them, uninterrupted execution of telemedicine programs, follow-up and supervision of providers, creating and maintaining motivation in patients, and provision of different self-management modules.
Indexed as
Identifiers
35382079PMC8978036W4287301536What 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.