Protocol for a systematic review on the effect of demand generation interventions on uptake and use of modern contraceptives in LMIC
Bibliographic record
Abstract
BACKGROUND: Despite a global increase in contraception use, its prevalence remains low in low- and middle-income countries. One strategy to improve uptake and use of contraception, as an essential complement to policies and supply-side interventions, is demand generation. Demand generation interventions have reportedly produced positive effects on uptake and use of family planning services, but the evidence base remains poorly documented. To reduce this knowledge gap, we will conduct a systematic review on the impact of demand generation interventions on the use of modern contraception. The objectives of the review will be as follows: (1) to synthesize evidence on the impacts and costs of family planning demand generation interventions and on their effectiveness in improving modern contraceptive use and (2) to identify the indicators used to assess effectiveness, cost-effectiveness, and impacts of demand generation interventions. METHODS/DESIGN: We will systematically review the public health and health promotion literature in several databases (e.g., CINAHL, Medline, EMBASE) as well as gray literature. We will select articles from 1970 to 2015, in French and in English. The review will include studies that assess the impact of family planning programs or interventions on changes in contraception use. The studied interventions will be those with a demand generation component, even if a supply component is implemented. Two members of the team will independently search, screen, extract data, and assess the quality of the studies selected. Different tools will be used to assess the quality of the studies depending on the study design. If appropriate, a meta-analysis will be conducted. The analysis will involve comparing odd ratios (OR) DISCUSSION: The systematic review results will be disseminated to United Nations Population Fund program countries and will contribute to the development of a guidance document and programmatic tools for planning, implementing, and evaluating demand generation interventions in family planning. Improving the effectiveness of family planning programs is critical for empowering women and adolescent girls, improving human capital, reducing dependency ratios, reducing maternal and child mortality, and achieving demographic dividends in low- and middle-income countries. SYSTEMATIC REVIEW REGISTRATION: This protocol is registered in PROSPERO (CRD 42015017549).
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.
How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Protocol About the Canadian research system: no · About a Canadian topic: no | Systematic review | high |
| gpt | no category Domain: not available · Genre: Protocol About the Canadian research system: no · About a Canadian topic: no | Systematic review | high |
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 | 0.009 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.011 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedLabeled directly by 2 models reading the full record.
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".