Prevalence and determinants of self‐reported anxiety and stress among women with abortion‐related complications admitted to health facilities in Eastern and Southern Africa: A cross‐sectional survey
Bibliographic record
Abstract
OBJECTIVE: To estimate the prevalence of women who were admitted to health facilities with abortion-related complications who reported feeling anxious/stressed during their stay, and to identify sociodemographic, facility, and abortion-related characteristics associated with self-reported experience of anxiety/stress. METHODS: We used data from four countries in Eastern and Southern Africa (Kenya, Malawi, Mozambique, and Uganda) collected from 2017-2018 as part of the World Health Organization (WHO) Multi-Country Survey on Abortion-related morbidity (MCS-A). Information was extracted from women's medical records and their participation in audio computer-assisted self-interviews (ACASI). Based on a question in the ACASI, "Did you encounter any anxiety or stress during your hospital stay?", the percentage of women who self-reported feeling anxious/stressed during their facility stay was calculated. Generalized estimating equations were used to identify the determinants of anxiety/stress following a hierarchical approach whereby potential determinants were grouped from most distal to most proximal and analyzed accordingly. RESULTS: There were 1254 women with abortion-related complications included in the analysis, of which 56.5% self-reported that they felt anxious/stressed during their facility stay. We found evidence that lower socioeconomic status, lower levels of education, no previous childbirth, no previous abortion, higher gestational age at abortion, and use of unsafe methods of abortion were independent determinants of self-reporting anxiety/stress. CONCLUSIONS: Action should be taken to reduce experience of anxiety/stress among women attending facilities for postabortion complications, including reducing the number of women experiencing abortion-related complications by improving access to safe abortion. This issue warrants further study using more comprehensive and validated tools to understand the levels and drivers of anxiety/stress self-reported by women attending facilities with abortion-related complications.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".