Evidence map›Paper›PMID 35765643›Full record

ArticleJournal of ophthalmic & vision research

Psychological Impact of COVID-19 on Ophthalmologists in Iran.

Masomeh Kalantarion, Zhale Rajavi, Hamideh Sabbaghi, Bahareh Kheiri, Mohammad Hasan Shahriari, Farinaz Fatahi Mozafar

Open access · goldAbstract read
In one paragraph

Article in Journal of ophthalmic & vision research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 54% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 1 citations in OpenAlex.

  1. Pooled it
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 at 3 institutions in 1 country.

Bahareh KheiriOphthalmic Research Center, Research Institute for Ophthalmology and Vision Science, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mohammad Hasan ShahriariDepartment of Electrical Engineering, Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran.
Farinaz Fatahi MozafarDepartment of Psychology, Kish International Branch, Islamic Azad University, Kish Island, Iran.
Shahid Beheshti University of Medical Sciences · IRIslamic Azad University, Tehran · IRUniversity of Isfahan · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To identify the psychological impact of coronavirus disease on ophthalmologists practicing in Iran between August and December 2020. Methods: In this cross-sectional online survey, a standard Patient Health Questionnaire- 9 (PHQ- 9) was completed by 228 ophthalmologists who were practicing in Iran. The PHQ- 9 questionnaire was revised by adding two additional questions specifically applicable for the assessment of the psychological impact of coronavirus disease on the Iranian ophthalmologists. An organized classification regarding the assessment of different depression severities identified as no (0-4), mild (5-9), moderate (10-14), or severe (15-21) was then considered for data analysis. Results: The mean age of our participants was 49.0 Conclusion: High prevalence of depression was observed among older aged Iranian ophthalmologists living in high-risk contaminated regions who possessed serious concerns with respect to their training/profession and income. It is recommended that the health policymakers of Iran pay more attention to the ophthalmologists who experience the aforementioned factors.

Indexed as

Coronavirus DiseaseIranOphthalmologistsPsychological Impact

Identifiers

PMID35765643
PMCPMC9185195
OpenAlexW4229442473

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.