Analysis of medical malpractice clams and measures proposed by the Health Professionals Ethics Federal Committee of Ethiopia: review of the three years proceedings.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Mediccil malpractice is professional negligence by a healthcare provider in which the treatment provided falls below the starndard and causes injury or death to the patient. OBJECTIVE: To describe the adverse medical events, claims and decisions taken by the Ethiopian Health Professionals Ethics Committee at the Federal level. METHODS: A three-year report of the Ethics Committee and relevant documents of proclamations and regulations were reviewed. RESULTS: Between January 2011 and December 2013, the committee reviewed 60 complaints against health professionals. About one third of the complaints were filed by the patients and/or their families, about 32% by the police or court and the rest were filed by Addis Ababa health bureau, health professionals and other unrelateed observers. Thirty-nine complaints were related to death of the patient and 15 complaints were about disability. Twenty-five of the claims were against Obstetric and Gynecology specialists and 9 were against general surgeons. The committee verified that 14 of the 60 claims hadethical breach and/or negligence (incompetence). The committee took reasonable time to review complaints and respond the concerned authorities. CONCLUSION: The study showed that of the total claims lower than a quarter (23.3%) were proven beyond the benefit ofdoubt. More than 3/4 (76.7) of the complaints were wrong. Hospitals should lead in preventing patient injury. Creation of more awareness among Obstetrics and Gynecology specialists, General and Orthopaedic Surgeons about medical errors is needed and special training should be given.to those joining these specialities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.037 | 0.058 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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 it