Evidence map›Paper›PMID 39759921›Full record

ArticleIranian journal of nursing and midwifery research

Health Information Disorders Models: A Scoping Review.

Amir Zalpour, Mohammadreza Hashemian, Ehsan Geraei, Firoozeh Zare-Farashbandi

Abstract readScoping Review
In one paragraph

Article in Iranian journal of nursing and midwifery research. 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

4 authors.

Amir ZalpourHealth Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Mohammadreza HashemianDepartment of Medical Librarianship and Information Sciences, School of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Ehsan GeraeiDepartment of Educational Sciences, Lorestan University, Khorramabad, Iran.
Firoozeh Zare-FarashbandiHealth Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The purpose of this scoping review is to identify the models of Health Information Disorders (HIDs), the components of these models, their study setting, and their designing approaches. Materials and Methods: In this study, PubMed, Web Of Science (WOS), Scopus, ProQuest, and Embase databases were searched to identify relevant articles. After screening the identified studies, 22 studies were selected. Data was extracted based on objectives and was combined and summarized by a narrative method. Results: The analysis of articles showed most of the included studies presented conceptual models or frameworks that provide a more structured and comprehensive view of a topic. The elements and components of the HID models were categorized into five main components, including information issues, communication issues, psychology issues, social issues and theories. Most studies employed, existing theories, evidence, or principles to design their approaches. The main setting of studies were COVID-19 and related topics such as vaccination. Conclusions: By synthesizing the HID models we tried to find the gap among types, components, designing approaches and setting of models. It seems we need some HID models based on contextual frameworks to understand deeply the way of being born, spread and death of HIDs in society. Also, future advancements in HID models should focus on other diseases rather than COVID-19 to provide a holistic approach in diverse healthcare landscapes.

Indexed as

Disinformationhealth communicationmisinformationtheoretical models

Identifiers

PMID39759921
PMCPMC11694584

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.