Evidence map›Paper›PMID 31595403›Full record

ArticleJournal of clinical psychology in medical settings2020

Prevalence and Predictors of Depression Among Medical Residents in Western Saudi Arabia.

Abdullah Alshardi, Fayssal Farahat

Open access · hybridAbstract read
PubMed Publisher
In one paragraph

Article in Journal of clinical psychology in medical settings, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
8.5field-weighted citation impact, top 2% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

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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

2 authors at 2 institutions in 2 countries.

Abdullah AlshardiFamily Medicine, King Abdulaziz Medical City, Jeddah, Saudi Arabia.
Fayssal FarahatInfection Prevention and Control, King Abdulaziz Medical City, King Saud bin Abdulaziz University for Health Sciences, King Abdullah International Medical Research Center, Ministry of National Guard Health Affairs, Jeddah, Saudi Arabia. fmfayssal@gmail.com.ORCID 0000-0001-5186-2872
King Abdulaziz Medical City · SAKing Saud bin Abdulaziz University for Health Sciences · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is evidence of a higher depression rate among resident physicians compared to the general population. This study aimed to estimate the prevalence of depression and assess its severity and predictors among physician residents in Jeddah, Western Saudi Arabia. A cross-sectional survey was conducted using the self-administered Patient Health Questionnaire (PHQ-9). This study included 149 medical residents. More than half (53%) were female and 43% were married. A diagnosis of depression (mild to severe) was identified in 75.8% of the participants (mild in 35.6%, moderate in 34.2%, and severe depression in 6.0%). Residents in surgery and emergency programs were at an increased risk for moderate-to-severe depression (OR 2.60, 95% CI 1.13, 5.98; OR 4.90, 95% CI 1.08, 22.20; respectively). Mental health programs for resident physicians would facilitate the early detection of depression and mental disorders. However, adequate mentoring, managing workloads, and social off-duty activities are always vital.

Indexed as

Internship and ResidencyAdultCross-Sectional StudiesDepressive DisorderFemaleHumansMalePhysiciansPrevalenceSaudi ArabiaSeverity of Illness IndexSocial BehaviorSurveys and QuestionnairesWorkloadDepressionMedical residentsPrevalence

Identifiers

PMID31595403
OpenAlexW2980283503

What OpenQuestion holds

Textmetadata
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.