Evidence map›Paper›PMID 41250752›Full record

ArticleAnesthesiology and pain medicine2025

Telemedicine Solutions for Chronic Pain: Design, Implementation, and Evaluation of a Novel System.

Shahabedin Rahmatizadeh, Zeinab Kohzadi, Ali Dabbagh, Hassan Emami, Zahra Kohzadi, Mehrdad Taheri

Abstract read
In one paragraph

Article in Anesthesiology and pain medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Shahabedin RahmatizadehDepartment of Health Information Management and Technology, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0003-2429-1642
Zeinab KohzadiDepartment of Health Information Management and Technology, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Ali DabbaghDepartment of Anesthesiology, Anesthesiology Research Center, Shahid Modarres Hospital, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0003-4344-8131
Hassan EmamiDepartment of Health Information Management and Technology, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0003-4309-5049
Zahra KohzadiIlam County Health Center, Ilam University of Medical Sciences, Ilam, Iran.
Mehrdad TaheriDepartment of Anesthesiology, Imam Hossein Hospital, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-8482-5434

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic pain is a complex condition affecting a significant portion of the population, and various approaches are being explored for its management. Objectives: This study aims to design and evaluate a telemedicine system for chronic pain management. Methods: A developmental cross-sectional study was conducted in three phases: Identifying a minimum dataset through literature review and expert opinion, developing and testing a prototype using Nielsen's Ten Heuristics, and finalizing and evaluating the system with the Questionnaire for User Interface Satisfaction (QUIS). Results: The minimum dataset included 56 elements across eight categories. The system was developed as a web-based platform. Usability evaluation based on Nielsen's ten principles showed that the highest number of issues (n = 9) and the greatest severity (mean score 2.37) were related to the system-real world consistency. User satisfaction with the interface was favorable, with mean scores of 8.07 ± 0.41 for specialists and 7.73 ± 0.55 for patients. Conclusions: The designed telemedicine system for chronic pain management, considering its features, provides specialized services to patients with chronic pain who are unable to visit a pain specialist in person. Additionally, by eliminating unnecessary visits to medical centers, this system can be beneficial in reducing related costs.

Indexed as

Chronic PainInternet-based InterventionPain ManagementTelemedicineUser-Centered Design

Identifiers

PMID41250752
PMCPMC12619899

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.