ArticleHealthcare informatics research2022
Development and Usability Evaluation of a Telemedicine System for Management and Monitoring of Patients with Diabetic Foot.
Article in Healthcare informatics research, 2022. 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, 6 citations in OpenAlex.
- Digital Health Technologies for Diabetic Foot Ulcers: A Systematic Review of Clinical Evidence, Access Inequities, and Public Health Integration.International journal of environmental research and public health · 2025Pooled it
- My diabetes care: an AI-based mobile app with conversational agent for type 2 diabetes self-management.Scientific reports · 2025Article
- Implementation of a patient-centered remote wound monitoring system for management of diabetic foot ulcers.Frontiers in endocrinology · 2023Article
- The role of social networks in diabetes self-care: A cross-sectional study.Health science 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
4 authors at 3 institutions in 2 countries.
Funding
Abstract
objectiveThe aim of the present study was to develop and evaluate the usability of a telemedicine system for management and monitoring of patients with diabetic foot.
methodsThis study was conducted in four phases. In the first phase, the information needs and characteristics required to design the telemedicine system were identified based on a literature review. Then, in a two-stage Delphi survey, 15 experts approved the identified information needs and characteristics. The prototype telemedicine system was then designed. In the third phase, system usability was evaluated through a semi-structured interview. In the fourth phase, users' satisfaction with the designed system was analyzed.
resultsOut of 115 information needs and required characteristics, 95 were considered in the system design. Eight main pages for enabling patient-physician interactions and physician-physician interactions, monitoring the patient and controlling the disease process, providing medical consultation, and prescribing medications were considered. In the third phase, 26 distinct problems were identified. However, 75% of the participants were very satisfied with the system.
conclusionsThis study presents an attempt to design and evaluate a telemedicine system for the management and monitoring of patients with diabetic foot. In this system, patients receiving medical services or physicians who encounter rare cases can send the complete medical history, clinical test results, and videos and images related to the foot to specialist physicians. After examining the medical history or images and videos, the physician can provide the necessary medication prescriptions and laboratory tests or other recommendations.
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.