The Effect of COVID-19 Pandemic on Anxiety Disorders among Workers in a Hospital in Balikpapan, East Kalimantan
Bibliographic record
Abstract
Introduction. During the global COVID-19 pandemic, health workers were found to have a higher prevalence ofanxiety disorder compared to non-health workers. Anxiety disorder that occurs chronically have a 25% chance to become a major depression disorder.Objective. The aim of this study is to understand the anxiety condition and related risk factors among workers in a Balikpapan hospital during the COVID-19 pandemic.Method. The design of this research used a cross sectional method that involved 279 respondents who are workers in a Balikpapan hospital. The study used SPSS version 20.0, using the chi square and Fisher’s Exact test for the bivariate analysis, and the logistic regression with enter method for the multivariate analysis.Results. The study shows that using the General Anxiety Disorder 7 (GAD-7) questionnaire from 279 hospitalworkers, there were 10.8% with mild-, 1.45% with moderate-, and 0.4% with severe anxiety disorder. A significant relation was found between anxiety disorder and risk factors such as being a health worker with p=0.001 and a 4.8 ORadj (95% CI: 1.9-12.3), working in areas with high risk of transmitting COVID-19 with p=0.04 and a 5.1 ORadj (95% CI: 1.0-24.2), and workers who are being quarantined with p=0.001 a 10.5 ORadj (2.6-42.3) after being adjusted by age and gender variables.Conclusion. Significant relations were found between anxiety disorder among hospital workers with risk factorssuch as being health workers, working in areas with high risk of transmitting COVID-19, and workers who arebeing quarantined. Researchers strongly advise health providers to do regular monitoring and seek moral support especially for workers who have higher risk of anxiety disorder.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".