Evidence map›Paper›PMID 38223335›Full record

ArticleInternational journal of telemedicine and applications2024

Developing a Content Model of a Mobile-Based Application to Manage Patients with Low-Back and Neck Pain.

Yasaman Farjami Rad, Leila Shahmoradi, Noureddin Nakhostin Ansari, Scott Hasson, Maryam Ebrahimi, Meysam Rahmani Katigari

Open access · goldAbstract read
In one paragraph

Article in International journal of telemedicine and applications, 2024. 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
0.4field-weighted citation impact, top 37% 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.

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, 1 citations in OpenAlex.

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 at 4 institutions in 2 countries.

Yasaman Farjami RadSports Medicine Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-9421-838X
Leila ShahmoradiHealth Information Management Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-2269-9022
Noureddin Nakhostin AnsariDepartment of Physiotherapy, School of Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0003-2742-2273
Scott HassonDepartment of Physical Therapy, Augusta University, Augusta, Georgia, USA.ORCID https://orcid.org/0000-0002-3440-9504
Maryam EbrahimiDepartment of Health Information Technology, Neyshabur University of Medical Sciences, Neyshabur, Iran.ORCID https://orcid.org/0000-0003-1577-4685
Meysam Rahmani KatigariDepartment of Health Information Technology, Saveh University of Medical Sciences, Saveh, Iran.ORCID https://orcid.org/0000-0003-4087-2797
Tehran University of Medical Sciences · IRAugusta University · USSaveh University of Medical Sciences · IRUniversity of Neyshabur · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: As a complementary tool in health, the design of mobile applications to influence care and increase awareness of patients has grown a lot. The purpose of this study is to design and validate the content model of a mobile-based application for managing patients with low-back and neck pain. Methods: This descriptive-analytical study was conducted in two main stages to determine the content model of the application. The first stage consisted of three steps: finding the right exercise, determining the right scale to assess the pain intensity, and determining the appropriate features of the application. In the second stage, data elements collected from the previous stage were prepared in the form of a questionnaire that was given to 12 experts in physical therapy and sports medicine for validation. After collecting the questionnaire, data elements in all parts were analyzed based on the content validity ratio (CVR) and descriptive statistics indicators. Result: The content of the application was prepared in the three axes of exercises for low-back and neck pain, assessment of pain intensity, and features of the application. In the axis of sports exercises, 8 exercises for back pain and 3 exercises for neck pain were included according to the reference books. A Functional Rating Index (FRI) scale with 10 elements was selected in the axis of determining pain intensity. Also, 12 features such as the daily exercise section, using the animation, and using an audio file to explain how to do exercises were included in the model. Conclusion: According to the gaps identified in the existing applications, determining the content model of the application that is based on evidence and according to the opinion of experts is useful in improving the apps. The content model of this study was presented in 3 axes to increase the patient's willingness to do exercises, the correct way to perform exercises, conservative treatment, and check the progress of the treatment. The software developers can use these findings as a basis for designing new apps to manage low-back pain and neck pain.

Identifiers

PMID38223335
PMCPMC10787052
OpenAlexW4390603260

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.