Evidence map›Paper›PMID 36747505›Full record

ReviewZeitschrift fur Gesundheitswissenschaften = Journal of public health2023

Characteristics and specifications of dashboards developed for the COVID-19 pandemic: a scoping review.

Taleb Khodaveisi, Hossein Dehdarirad, Hamid Bouraghi, Ali Mohammadpour, Fereydun Sajadi, Mohammad Hosseiniravandi

Abstract readReview
In one paragraph

Review in Zeitschrift fur Gesundheitswissenschaften = Journal of public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Creating Interactive Data Dashboards for Evidence Syntheses.Cochrane evidence synthesis and methods · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
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.

Taleb KhodaveisiDepartment of Health Information Technology, School of Allied Medical Sciences, Hamadan University of Medical Sciences, Hamadan, Iran.ORCID https://orcid.org/0000-0003-3574-423X
Hossein DehdariradDepartment of Medical Library and Information Science, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-6685-5429
Hamid BouraghiDepartment of Health Information Technology, School of Allied Medical Sciences, Hamadan University of Medical Sciences, Hamadan, Iran.ORCID https://orcid.org/0000-0003-3842-3554
Ali MohammadpourDepartment of Health Information Technology, School of Allied Medical Sciences, Hamadan University of Medical Sciences, Hamadan, Iran.ORCID https://orcid.org/0000-0001-8796-8513
Fereydun SajadiDepartment of Ophthalmology, Tehran University of Medical Sciences, Farabi Eye Hospital, Tehran, Iran.ORCID https://orcid.org/0000-0002-3168-464X
Mohammad HosseiniravandiDepartment of Health Information Technology, School of Allied Medical Sciences, Torbat Heydarieh University of Medical Sciences, Torbat Heydarieh, Razavi Khorasan Iran.ORCID 0000-0003-4753-4213

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: The use of information-based solutions such as dashboards is on the rise for taking fact-based actions against the COVID-19 crisis. This scoping review aimed to comprehensively investigate COVID-19 dashboards from different technical perspectives. Subject and methods: Three main bibliographic databases, PubMed, Web of Science, and Scopus, were searched on 28 August 2021 to retrieve relevant studies. Arksey and O'Malley's (Int J Soc Res Methodol 8(1):19-32, 2005) methodological framework and the enhanced version of this methodology developed by Levac et al. (Implement Sci 5(1):1-9, 2010) were adopted for conducting this review. Results: In total, 26 articles were included. The COVID-19 dashboards mainly focused on the infected (n = 25), deceased (n = 17), and recovered cases (n = 13), as well as the performed test (n = 10). Most of the dashboards were interactive, with public accessibility targeting various user groups. While some dashboards were both informative and supportive (38%), most were mainly informative (92%). The dashboard data were generally analyzed using simple techniques (58%) and delivered through web-based applications (88%). Conclusion: Dashboards can help immediately manage, analyze, and summarize a huge amount of information about a COVID-19 outbreak. The findings revealed that the developed COVID-19 dashboards share more or less analogous characteristics that could lay the groundwork for designing and developing dashboards for any other pandemic.

Indexed as

CoronavirusCOVID-19DashboardHealth information systemsInformation managementPandemic

Identifiers

PMID36747505
PMCPMC9894516

What OpenQuestion holds

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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.