Understanding coping strategies during pregnancy and the postpartum period: a qualitative study of women living with HIV in rural Uganda
Bibliographic record
Abstract
BACKGROUND: In sub-Saharan Africa, 58% of adults living with HIV are women. In Uganda, HIV prevalence is 8.3% for women compared to 6.1% for men. Access to antiretroviral therapy (ART) and prevention of mother to child transmission (PMTCT) programs have enabled women living with HIV (WLWH) to have children with minimal risk of perinatal transmission. Nevertheless, pregnant WLWH face many challenges. We explored women's perceptions of how they cope with the challenges of pregnancy and the postpartum period as HIV-infected women. METHODS: We conducted semi-structured interviews with postpartum WLWH accessing ART who had a pregnancy within 2 years prior to recruitment between February-August, 2014. Childbearing associated stressors and coping strategies were discussed. We used content analysis to identify major themes and NVivo 10 software facilitated data analysis. RESULTS: (IQR: 440-767), number of live births 4 (IQR: 2-6), and number of living children 3 (IQR: 2-4.3). We summarize five identified coping strategies within a socio-ecological framework according to Bronfenbrenner's Ecological Model. Coping strategies on the individual level included acceptance of self and HIV status, and self-reliance. On the interpersonal level, participants reported coping through support from partners, family, and friends. On the organizational level, participants reported coping through HIV-related healthcare delivery and system supports. At the community level, women reported coping through support from church and spirituality. CONCLUSIONS: The results highlight coping strategies used by WLWH to manage the myriad challenges faced during pregnancy and the postpartum period. Intervention programs for WLWH must emphasize psychosocial care and incorporate strategies that address psychosocial challenges in the HIV care package in order to optimize well-being. Additionally policies that support networks of WLWH should be put in place and funding support should be provided through existing funding mechanisms in order to respond to the needs and challenges of WLWH. Programmes that support WLWH for economic empowerment and improved livelihoods should be strengthened across all regions in the country.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".