Knowledge and practice of handoff among doctors in a tertiary care hospital in Manipur: A cross-sectional study
Bibliographic record
Abstract
ABSTRACT Context: The exchange of patient information and the transfer of responsibility for patient care between health-care providers constitute a vital aspect of health-care communication and maintain continuum of care and patient safety. There are limited data on knowledge and practice of handoff among resident doctors in Manipur. Aims: To assess the knowledge and practice of handoff among resident doctors of a tertiary care hospital, in Imphal, and to determine the association between sociodemographic characteristics and handoff practice. Subjects and Methods: A cross-sectional study among 279 resident doctors of a tertiary care hospital in Manipur was conducted. The data were collected using a pretested structured questionnaire. Statistical Analysis: The data were analyzed using IBM SPSS version 26.0. Descriptive statistics such as percentage, mean, and standard deviation were used to represent quantitative data. Chi-square test or Fisher’s exact test were used for categorical data. P < 0.05 was considered statistically significant. Results: The mean age of participants was 29.65 ± 3.97 years. More than two-thirds of the participants were inadequately practicing handoff in patient care. There were significant associations between the knowledge pertaining to questions, “When does handoff occur in patient care?” ( P = 0.013), “What is the purpose of handoff?” ( P = 0.024), and “What are the characteristics of good handoff?”( P = 0.019) with the practice of handoff. Conclusion: Although more than 4/5 th of the doctors had good knowledge, only a quarter of them had adequate handoff practice.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".