A grounded theory of regaining normalcy and reintegration of women with obstetric fistula in Kenya
Bibliographic record
Abstract
BACKGROUND: Obstetric fistula is a reproductive health problem causing immense suffering to 1% of women in Kenya that is formed as sequelae of prolonged obstructed labour. It is a chronic illness that disrupts women lives, causing stigma and isolation. Fistula illness often introduces a crisis in women's life begetting feelings of shame and serious disruption to their social, psychological, physical and economic lives, in addition to dealing with moral and hygiene challenges. Currently, women undergo free of charge surgery at vesicovaginal fistula (VVF) camps held in national referral hospitals and dedicated fistula centres generating a significant pool of women who have undergone surgery and are ready to regain normal lives. OBJECTIVE: The purpose of this study was to explore experiences of women immersing back into communities and their return to normalcy after surgery in three VVF repair centres in Kenya. We set out to answer the question: what strategies improve obstetric fistula patients' reintegration process? METHODS: We used grounded theory methodology to capture the reintegration and regaining normalcy experiences of women after surgery. Narrative interviews were held with 60 women during community follow-up visits in their homes after 6-19 months postoperatively. Grounded theory processes of theoretical sampling, repeated measurement; constant comparative coding in three stage open, axial and selective coding; memoing, reflexivity and positionality were applied. Emergent themes helped generate a grounded theory of reintegration and regaining normalcy for fistula patients. RESULTS: To regain normal healthy lives, women respond to fistula illness by seeking surgery.. After surgery, four possible outcomes of the reintegration process present; reintegration fully or partially back into their previous communities, not reintegrated or newly integrating away from previous social and family settings. The reintegration statuses point to the diversity outcomes of care for fistula patients and the necessity of tailoring treatment programs to cater for individual patient needs. CONCLUSION: The emerging substantive theory on the process of reintegration and regaining normalcy for fistula patients is presented. The study findings have implications for fistula care, training and policy regarding women's health, suggesting a model of care that encompasses physical, social, economic and psychological aspects of care after surgery and discharge.
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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 | 0.019 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.017 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".