Asked but not received: postpartum contraception access in opioid-using pregnant patients
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
PURPOSE: To identify differences between desired and received postpartum contraception in opioid-using pregnant patients. MATERIALS AND METHODS: This single-centre retrospective study included pregnant patients who reported current opioid use, with a positive urine drug screen (UDS) for opioids, and a documented contraceptive plan in the medical record who delivered between December 1, 2016, and December 31, 2020. Patients who delivered outside the sponsoring institution and those taking medications for opioid use disorder (MOUD) or hospital-administered opioids were excluded. Descriptive statistics were performed including counts, percentages, and means. RESULTS: A total of 101 patients met the criteria for inclusion. Over two-thirds of patients did not receive their desired form of contraception at the time of hospital discharge. Long-acting reversible contraception (LARC) was the most preferred form of contraception at the time of admission. Depot medroxyprogesterone acetate (DMPA) was the most common contraceptive received at the time of hospital discharge, with around one-third of patients receiving DMPA. Only 25 patients (24.8%) presented for a postpartum follow-up appointment. Of the women who did not receive their desired form of contraception at the time of discharge, 19 (27.9%) were pregnant again within two years. CONCLUSIONS: Increased focus is needed on the prevention of unintended pregnancies in opioid-using patients, including policies to increase access to contraception, including LARCs.
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 | 0.004 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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