Costs of childhood vaccine delivery in Iraq: a cross-sectional study
Bibliographic record
Abstract
OBJECTIVES: In recent years, Iraq has expanded and revised the childhood immunisation schedule, but estimates of the costs of the programme are unavailable. The objective of this study was to estimate the economic costs of delivering childhood vaccines in Iraq from a government perspective. SETTING: Health facilities were sampled using multistage probabilistic sampling and stratifying the country into three regions: Central and South, North/Kurdistan Region, and Retaken Areas. Cost data were collected from 97 health facilities and 44 district and regional vaccine stores. Total national costs were extrapolated using sample weight calibration. PARTICIPANTS: Administrators at each health facility and vaccine store were interviewed using a standardised survey. PRIMARY AND SECONDARY OUTCOME MEASURES: Total costs of vaccine delivery per year, costs per dose delivered and delivery costs per fully vaccinated child. RESULTS: An estimated 15.3 million vaccine doses were delivered in 2018, costing US$99.35 million, excluding costs of vaccines and injection material. Nearly 90% of delivery costs were attributed to personnel salaries. Vaccine record-keeping and management (21%) and facility-based vaccine delivery (19%) were the largest cost contributors. Vaccine transport and storage, programme management, and outreach services represented 13%, 12% and 10%, respectively. All other activities represented less than 10% of the total cost. Average costs per dose delivered was US$6.48, ranging from US$9.13 in Retaken Areas to US$5.84 in the Central and South. Vaccine delivery costs per fully vaccinated child totalled US$149. CONCLUSION: This study provides baseline evidence of the current programme costs and human resource uses which can be used for annual planning, identifying areas for improvement, and targeting strategies to increase programme efficiency.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".