Experiences and needs of persons who have undergone limb amputation in Saki West, Oyo State, Nigeria
Bibliographic record
Abstract
BACKGROUND: Amputation is a life-changing experience involving the surgical removal of a body part. However, little is known about the experiences of persons who have undergone limb amputation in the Saki West Local Government Area (LGA), which prompted this study. METHODS: An exploratory qualitative study design was used. Thirty participants were interviewed using face-to-face focus group discussions. Five sessions were conducted, with six participants in each session. Data were analysed using the thematic analysis framework of Braun and Clarke. RESULTS: A total of 76.3% of the participants were males and 73.3% were married. Their ages ranged from 22 and 69 y, with a mean age of 48.0 y and a monthly income of 20 000 naira (US$12). Three major themes emerged from the study: the needs and challenges of those who have undergone amputation, coping strategies of those who have undergone amputation and recommendations by persons who have undergone amputation. The study revealed that people who have undergone amputation experienced psychological pain, such as a loss of self-worth and stigmatization from friends and loved ones. Coping strategies identified were accepting the situation and emotional support from family. Participants recommended providing financial support, empowerment programs, employment opportunities and fostering a community of amputees in the Saki West LGA. CONCLUSIONS: Amputees undergo psychological and psychosocial problems that can affect their health and recovery. They need emotional and financial support, rehabilitation services and provision of prostheses from family, society and the government. These services should be adequately provided in the Saki West LGA, the largest among the 10 suburban local governments in Oyo State, with numerous commercial activities and a high risk for road traffic accidents.
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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 | 0.000 |
| 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".