Descriptive Study to Assess the Level of Depression, Anxiety and Stress among Staff Nurses in Selected Hospital, Rajouri.
Bibliographic record
Abstract
Background: "Nurses are the forefront workers of the health care team.They have to deal with everyday challenges, that the profession demands, say in the case of an epidemic outbreak such as Covid-19 or a routine, herculean workload in their health care settings.Also, less pay, a deteriorated staff ratio as well as unfavourable working standards often causes the nurses to experience stress, anxiety and depression in their profession".A Descriptive study was conducted to assess the level of Depression, Anxiety and Stress experienced among staff nurses working in selected hospital, Rajouri district, J&K.The objectives of the study were to assess the level of Depression, Anxiety and Stress among staff nurses and to find out the association between level of Depression, Anxiety and Stress among staff nurses with selected demographic variables.Materials and Methods: The study adopted a Descriptive design.100 nurses from a selected hospital were enrolled using simple random sampling technique.The conceptual framework of the study was based on Rosenstock and Becker's Heath Belief Model, 1974.Tools used for data collection were Demographic Performa and the Depression, Anxiety and Stress scale.[DASS-21].Results: Findings of the study revealed moderate level of depression, Stress and Anxiety with a Mean Depression score (14.135.59),Mean Anxiety score (11.815.09)and a Mean Stress score (22.557.03)respectively.Significant association was observed between the level of Depression and demographic variables such as Gender, Type of family (p<0.01,p<0.05).Both level of anxiety and level of Stress were associated between demographic variables such as, Gender and Housing Loan.(p<0.01,p<0.05).Conclusion: The findings of the study confirmed that the Staff Nurses experienced a moderate level of Depression, Anxiety & Stress.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".