Evidence map›Paper›PMID 34096490›Full record

ArticleDisaster medicine and public health preparedness2022

Risk Assessment of COVID-19 in the Iranian Health System.

Hamidreza Khankeh, Pirhossein Kolivand, Mohammad Fathi, Hamidreza Lornejad, Masoumeh Abbasabadi-Arab

Open access · hybridAbstract read
In one paragraph

Article in Disaster medicine and public health preparedness, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 49% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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 at 2 institutions in 1 country.

Hamidreza KhankehUniversity of Social Welfare and Rehabilitation Science, Tehran, Iran.
Pirhossein KolivandNational Medical Emergency Organization, Ministry of Health and Medical Education, Tehran, Iran.
Mohammad FathiNational Medical Emergency Organization, Ministry of Health and Medical Education, Tehran, Iran.
Hamidreza LornejadNational Medical Emergency Organization, Ministry of Health and Medical Education, Tehran, Iran.
Masoumeh Abbasabadi-ArabNational Medical Emergency Organization, Ministry of Health and Medical Education, Tehran, Iran.
Ministry of Health and Medical Education · IRUniversity of Social Welfare and Rehabilitation Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe outbreak of coronavirus disease 2019 (COVID-19) has exerted unprecedented pressure on healthcare systems throughout the world. This study was designed to develop a national health emergency management program based on risk assessment for COVID-19.

methodsMixed-methods research was used. Based on recommendations of the national epidemiology committee, 2 risk scenarios were used as basic scenarios for risk assessment. Two rounds of Focus Group Discussions (FGDs) were conducted between January and May 2020 with 30 representatives of the health system. The data were collected, analyzed, and integrated by the research team.

resultsIn the risk matrix, "

conclusionsThe avoidance of environmental and individual contamination and healthcare worker burnout are the priorities in Iran. Attention to intersectoral cooperation, the involvement of non-governmental organizations and private center capacities, integration of information health systems, and developing evidence-based protocols are other measures that can improve the health system's capacity in the response COVID-19.

Indexed as

Burnout, ProfessionalCOVID-19Health PersonnelHumansIranRisk AssessmentCovid-19Emergency Management ProgramHealth SystemRisk Assessment

Identifiers

PMID34096490
PMCPMC8376844
OpenAlexW3170923984

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.