Evidence map›Paper›PMID 39749240›Full record

ArticleFrontiers in public health2024

Assessing the impact of tech-driven solutions to manage COVID-19 in Saudi Arabia: insights from health information technology professionals.

Nesren S Farhah

Abstract read
In one paragraph

Article in Frontiers in public health, 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
–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

1 author.

Nesren S FarhahDepartment of Health Informatics, College of Health Science, Saudi Electronic University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The outbreak of the COVID-19 pandemic has disrupted the provision of healthcare services, forcing health systems, governments, and other public health stakeholders to embark on alternative means to deliver care. Method: This scenario has fueled the adoption of digital health technologies in the healthcare industry to enhance the management of the COVID-19 pandemic. This study aimed to investigate the effect of using health information technologies (HITs) in managing the COVID-19 pandemic in Saudi Arabia from the health information technology professionals' perspectives. In addition, the study aimed to evaluate the usefulness of using HITs interventions to manage COVID-19, assess HITs information exchange capability and quality, and measure practitioners' satisfaction with HITs. Results: The present study used a primary analysis and cross-sectional design. Data were collected using survey questionnaires and analyzed. A total of 371 participants ( Discussion: In addition, the study found HITs helpful in managing COVID-19, adding that these technologies improved providers' satisfaction concerning access to and value of information. The study found the need to address the challenges associated with HITs that prevent the effective deployment of HITs to manage COVID-19 and future pandemics.

Indexed as

COVID-19Medical InformaticsAdultCross-Sectional StudiesFemaleHealth PersonnelHumansMaleMiddle AgedPandemicsSARS-CoV-2Saudi ArabiaSurveys and QuestionnairesCOVID-19e-healthhealth information technologypublic healthrisk health

Identifiers

PMID39749240
PMCPMC11693719

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.