Providers’ View on the First Kidney Transplantation Center in Ethiopia: Experience From Past to Present
Bibliographic record
Abstract
INTRODUCTION: Transplantation is the optimal management for patients with end-stage renal disease. In Ethiopia, the first national kidney transplantation center was opened at St. Paul's Hospital Millennium Medical College in September 2015. The aim of this study was to explore providers' views and experiences of the past to present at this center. METHODS: December, 2019. To ensure that appropriate informants would provide rich study data, 8 health care providers and top management members were purposefully chosen for in-depth interviews. A maximum variation sampling method was considered to include a representative sample of informants. Interviews were digitally audio-recorded, and transcribed verbatim. Transcribed data was coded and analyzed using Qualitative Data Analysis (QDA) Minor Lite software and Microsoft-Excel. RESULT: The participants (5 males and 3 females) approached were from different departments of the renal transplant center, and the main hospital. Eight main themes and 18 sub-themes were generated initially from all interviews totaling to 109 index codes. Further evaluation and recoding retained 5 main themes, and 14 sub-themes. The main themes are; challenges experienced during and after launching the center, commitment, sympathy and satisfaction, outcomes of renal transplant, actions to improve the quality of service, and how the transplant center should operate. Providers claim that they discharge their responsibilities through proper commitment and compassion, paying no attention to incentive packages. They also explained that renal transplantation would have all the outcomes related to economic, humanistic and clinical facets. CONCLUSION AND RECOMMENDATION: A multitude of challenges were faced during and after the establishment of the first renal transplant center in Ethiopia. Providers discharge their responsibility through a proper compassion for patients. Concerned stakeholders should actively collaborate to improve the quality of renal transplant services in the center.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".