Evidence map›Paper›PMID 39506769›Full record

ArticleBMC medical informatics and decision making2024

A national platform for advancing self-care processes for the most common illnesses and conditions: designing, evaluating, and implementing.

Khadijeh Moulaei, Somayeh Salehi, Masoud Shahabian, Babak Sabet, Farshid Rezaei, Adrina Habibzadeh, Mohammad Reza Afrash

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Article in BMC medical informatics and decision making, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

7 authors.

Khadijeh MoulaeiHealth Management and Economics Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran.
Somayeh SalehiDepartment of Health Information Technology, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Masoud ShahabianDepartment of Emergency Medicine, Besat Hospital, AJA University of Medical Sciences, Tehran, Iran.
Babak SabetDepartment of Surgery, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Farshid RezaeiDirector General of Health Education and Promotion, Public Health Deputy, Ministry of Health, Tehran, Iran.
Adrina HabibzadehNetwork of Interdisciplinarity in Neonates and Infants (NINI), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
Mohammad Reza AfrashDeparment of Artificial Intelligence, Smart University of Medical Sciences, Tehran, Iran. Mmdrza.lp19@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEffective self-care practices are crucial for maintaining health and well-being, as inadequate self-care can lead to increased health risks and decreased overall quality of life. To address these issues, one promising approach involves leveraging progressive web app (PWA) platforms to educate and empower individuals with necessary self-care services. This study aims to design, implement, and evaluate a national self-care PWA platform, aiming to enhance accessibility and effectiveness in promoting health and self-care practices. The platform designed to improve self-care processes can be utilized by mothers, children, adolescents, youth, adults, and patients with emotional and mental disorders.

methodsThis study was conducted in three phases. In the first phase, during 35 meetings with 19 health care providers including physicians and another group of professionals, the most common illnesses and conditions that require self-care were identified. Platform capabilities were then assessed based on stakeholder opinions. Subsequently, during 15 meetings 19 health care providers identified a comprehensive list of conditions benefiting from dedicated decision aids to enhance individuals' self-care processes. In the second phase, a progressive web app platform was designed based on these common illnesses and conditions and capabilities and subsequently evaluated. To usability evaluation the platform, 26 evaluators utilized the system for two weeks. The QUIS 5.5 questionnaire was employed for evaluation, and the results were analyzed using SPSS 23. In the final phase, the system was implemented at the Smart University of Medical Sciences (SMUMS), affiliated with the Ministry of Health and Medical Education in Iran.

resultsBased on the most common illnesses and conditions (n = 87) and identified capabilities, the national self-care platform was designed with eight sections catering to 'Maternal and child health services,' 'Mothers,' 'Infants,' 'Teenagers,' 'Adults,' 'Elderly,' 'Health of All Age Groups,' 'Patients with Mental and Emotional Health Disorders,' and 'General Information' for user education. Furthermore, the platform features 54 decision aids (DA), teleconsultation services, and a self-care magazine (Access link: https://khodmoragheb.ir/ ). These features were integrated to provide comprehensive support and resources for self-care. A mean exceeding 7 was attained across all evaluated dimensions, indicating that evaluators generally agreed the platform performed well.

conclusionThe designed national self-care platform offers a promising solution for managing healthcare challenges. This innovative approach addresses the specific needs of individuals and extends its reach to Persian-speaking patients worldwide, fostering a global impact. By embracing self-care practices on an international scale, this platform contributes to a more inclusive and accessible healthcare landscape for individuals in Iran, Afghanistan, Tajikistan, and beyond.

Indexed as

Mobile ApplicationsSelf CareAdolescentAdultFemaleHumansMaleYoung AdultPlatformProgressive web app (PWA)Self-care

Identifiers

PMID39506769
PMCPMC11542451

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.