Factors Affecting Hand Hygiene Performance of Pediatric Intensive Care Unit Health Care Team during the Outbreak of COVID-19 Disease in Iran: A Qualitative Study
Bibliographic record
Abstract
Background: This study aimed to determine factors affecting compliance with Hand Hygiene (HH) from the perspective of the health care team working in the pediatric intensive care unit of a children's tertiary center, Ali -Asghar hospital, in Tehran, Iran.Methods: we recruited 35 Pediatric ICU health care workers, including nurses, attending physicians and medical students, selected by purposive sampling between February to November 2020. Data were collected using deep semi-structured interviews, and analyzed through Graneheim and Lundman’s (2004) qualitative conventional content analysis method. All interviews were recorded and typed in the MAXQDA software and then analyzed in eight steps including writing interviews, determining the semantic units, text coding, matching codes with text, categorizing and developing categories, reviewing the categories, identifying the sub themes and reporting the findings.Results: 68.5% of the participants were female, with an average age of 32.7 years and work experience of 8.6 years. After reviewing all codes obtained, 4 main categories were finally extracted. (I) Meta-organizational factors including two subcategories of macro-health policy, sanctions and economic problems, (II) Organizational factors including three subcategories of incoherence in observing the rules, monitoring and evaluation, and the prevailing attitude of the organization, (III) Individual factors including three subcategories of attitude of the health care team towards patients, skin reactions to hand sanitizers, concerns about their own health and health of their family, (IV) Characteristics of the clinical environment including three subcategories of professional relationships, special conditions governing the pediatric ICU, and care facilities.Conclusion: Overall, 234 codes were extracted from the interviews and after the integration of similarities, four key themes including Meta-organizational factors, Organizational factors, Individual factors and Characteristics of the clinical environment were obtained indicating factors affecting hand hygiene performance of the PICU health care team.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".