Role of Organizational Culture and Implementing the Critical Success Factors Resulting in Reduced Medical Errors from the Viewpoint of Nurses
Bibliographic record
Abstract
Background and Aim : A set of management practices called critical success factors and organizational culture can lead to a misplaced program for reaching a goal in the hospital. The incidence of medical errors, one of the most important issues influenced by multiple factors, undermines the quality of healthcare provision and satisfaction and increases costs. Considering that medical errors constitute 44,000-98,000 of the annual deaths in the United States and the lack of reliable statistics in Iran, we aimed to examine the roles of organizational culture and critical success factors in reducing medical errors. Materials and Methods : This applied cross-sectional study was performed among the staff of hospitals affiliated to Arak University of Medical Sciences, Arak, Iran. A 44-item questionnaire was used to collect the data. The questionnaire was designed based on the studies by McFadden, Cameron and Quinn, and Gowen and Tallon, the validity and reliability of which were confirmed in this study. Descriptive (frequency distribution) and inferential statistics (ANOVA, two-sample-t-test, and linear regression) were employed to analyze the data in SPSS, version. Ethical Considerations : The informed consent was obtained from participants after explaining the research aims and the participants assured about the confidentiality of information. Findings : Most of the respondents were women (58.1%) and within the 30-40 years age group (52.5%). Further, 50.4% of the participants had a Bachelor’s degree. Two main hypotheses and 10 sub-hypotheses were tested and partially accepted. Our results suggested that staff participation, error report, cultural change, education and training, statistical reports, system redesign, collaborative culture, hierarchical culture, mission culture, compatibility culture, and implementation of critical success factors can contribute to reducing errors. Conclusion : Hospital managers must try to encourage the development and maintenance of a culture that emphasizes on interpersonal relationships, development of human resources, mentoring co-workers, teamwork and participation, trust, and commitment. To this end, hospital managers should recognize the role of organizational maturity in reducing medical errors and encourage employees to develop organizational culture and increase organizational maturity. Citation: Ghasemi M, Jarahi H. Role of Organizational Culture and Implementing the Critical Success Factors Resulting in Reduced Medical Errors from the Viewpoint of Nurses. Bioeth Health Law J. 2017; 1(3):19-26.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".