Perceived important managerial competencies for healthcare managers at a tertiary healthcare institution in Calabar, Cross River State, Nigeria
Bibliographic record
Abstract
Background: Management in healthcare industry has evolved over the years. There is increasing need for healthcare managers to acquire new skill sets particularly those related to strategic planning and business management.Aims: We sought to determine managerial competencies perceived as importsnt for healthcare managers in a tertiary healthcare institution in Calabar, Nigeria.Methods: A structured questionnaire (modeled after the Health Leadership Alliance competency questionnaire) was self-administered to 266 randomly selected managers comprising 5 strategic managers, 53 middle managers and 208 operational managers. Data were analyzed using SPSS version 20.Results: A total of 266 managers were included in this study with a M: F ratio of 1.3: 1. The findings of this study showed that operational, middle and strategic managers rated 27, 37 and 46 of the competencies as contributing significantly with a mean rating of ≥ 4. Important/essential competencies differed between the three tiers of management. Competencies related to financial/business management were not considered very important. The result from qualitative arm synchronized with the quantitative arm to some extent, and provided insight to the managers’ perspective.Conclusions: The findings of this study highlights the incongrous paradigm between managerial level and perceived important management competencies and supports the belief that there is inadequate managerial capacity especially those related to financial/business management.
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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 | 0.000 | 0.000 |
| 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 | 0.002 |
| 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".