Evidence map›Paper›PMID 37200765›Full record

ArticleAdvanced biomedical research2023

Development and Evaluation of a Self-care Application Based on Herbal Medicine for Skin and Hair Diseases.

Leila Shahmoradi, Nakisa Izadi, Laila Shirbeigi, Reza Nazari, Sorayya Rezayi

Abstract read
In one paragraph

Article in Advanced biomedical research, 2023. 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

5 authors.

Leila ShahmoradiDepartment of Health Information Management and Medical Informatics, School of Allied Medical Sciences, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Nakisa IzadiMaster of Science in Health Information Technology, School of Allied Medical Sciences, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Laila ShirbeigiDepartment of Persian Medicine, School of Persian Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Reza NazariMaster of Science in Medical Informatics, School of Allied Medical Sciences, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Sorayya RezayiDepartment of Health Information Management and Medical Informatics, School of Allied Medical Sciences, Tehran University of Medical Sciences (TUMS), Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Self-care applications are effective in the control and treatment of disease symptoms. Today, the mobile phone is used as one of the tools that can help us in this regard. The present study attempts to develop and evaluate a functional self-care mobile-phone application for patients with skin and hair problems using treatment protocols of herbal medicine. Materials and Methods: This study is a descriptive-applied type. At first, a questionnaire was prepared for data need assessment and also to determine the data items and required capabilities of the application. Based on the results, an application was designed using the Java programing language in the Android software environment. In the next step, the application was installed on the mobile phones of several specialists and patients, and the necessary corrections were made. Then, the final version of the application was evaluated. Results: The most critical data elements of the mobile application for skin and hair patients included the application's functionality, temperament survey, and clinical information. After considering users' feedback, the screen functionality, the application's information and idiom, and overall functionality of the application were evaluated and approved by the users. Conclusion: By and large, the developed application could help the patients to receive the best and high-priority treatment protocols based on their own temperament.

Indexed as

E-healthherbal medicinemobile healthtelemedicinetraditional medicine

Identifiers

PMID37200765
PMCPMC10186037

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.