<p>Quality of Long-acting Reversible Contraception Provision in Lomé, Togo</p>
Bibliographic record
Abstract
CONTEXT: Provision of high-quality contraceptive counseling and services is essential to ensure family planning (FP) programs are rights-based and voluntary. Togo's modern contraceptive use has steadily increased with almost a quarter of the method mix attributed to long-acting reversible contraceptives (LARC). The purpose of this study is to assess the quality of LARC provision in Togo. METHODS: Data for this study were collected in 2016 as part of a larger research study conducted in Lomé, Togo to assess the effectiveness of the ongoing FP service delivery model. Quality of FP service was assessed in terms of program capacity and program performance. Program capacity was measured with five individual variables and program performance was measured with the Method Information Index (MII). Descriptive statistics and mixed effects models were used to assess likelihood of LARC uptake. RESULTS: Of the 669 clients included in the study, 19.4% received a LARC method. Multivariable results show that LARC uptake is significantly associated with supervisory visit at the facility in the last three months (program capacity indicator) (OR 1.44; 95%CI 1.48-2.39) and is twice as likely for those with a positive MII score, even after controlling for provider and client characteristics (OR 2.1; 95%CI 1.61-2.51). CONCLUSION: This study identified supervisory visits and comprehensive contraceptive counseling as the key quality factors positively associated with uptake of LARC. Continued focus on quality of care and provider-client information exchange is necessary to ensure women's FP needs are met.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".