MétaCan
Menu
Back to cohort
Record W2162091202

Prevalence Of Anxiety And Depression Among Doctors Working In A Private Hospital In Pakistan

2012· article· en· W2162091202 on OpenAlexaboutno aff
Naheed Nabi, Aisha Yousuf, Azam Iqbal

Bibliographic record

VenueAsean Journal of Psychiatry · 2012
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDepression (economics)AnxietyMedicinePsychiatryAffect (linguistics)Quarter (Canadian coin)Hospital Anxiety and Depression ScaleCross-sectional studyTeaching hospitalFamily medicineClinical psychologyPsychology
DOInot available

Abstract

fetched live from OpenAlex

Objectives: Anxiety and depression among doctors may negatively affect quality of patient care, patient safety, and professionalism. Despite the potentially serious personal and professional consequences of depression, there are very limited researches done on depression among Pakistani doctors. Therefore this study was aimed to determine the prevalence of anxiety and depression among doctors in a private teaching hospital in Pakistan. Method: This was a cross-sectional survey conducted in a tertiary care teaching hospital in Pakistan. The Self-Reporting Questionnaire for Anxiety and Depression (SRQ 20) Scale was administered to a sample of 300 medical doctors. Chi-square test and multiple regressions were used for data analysis. Results: Anxiety and Depression among doctors was measured to be 27.3 % (95% CI: 22.3, 32.4) in our study. Conclusion: More than one quarter of our doctors are suffering from anxiety and depression but this subject is fairly neglected in Pakistan and more studies should be conducted to collect more validated information on this matter. ASEAN Journal of Psychiatry, Vol.13(1): January - June 2012: XX XX.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.390

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.328
Teacher spread0.316 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueAsean Journal of PsychiatrySame topicHealth and Well-being StudiesFrench-language works237,207