ArticlePLOS global public health2024
Improving the last mile delivery of vaccines through an informed push model: Experiences, opportunities and costs based on an implementation study in a rural district in Uganda.
Article in PLOS global public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Article
- Vaccine cold chain and understanding what underpins vaccine security for vaccine preventable diseases.BMJ medicine · 2026Review
- Missed Opportunities for Childhood Immunization in Pakistan: Failure to Vaccinate Despite Health System Contact.Gates open research · 2026Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Developing countries face challenges in ensuring equitable, timely, and efficient vaccine availability at health facilities. In Uganda, the distribution of vaccines from district stores to the last-mile health facilities is hindered by an unpredictable and unreliable mixed push-pull delivery system. This system often results in poor vaccine management, stock-outs, and missed vaccination opportunities. This pilot study aimed to enhance the efficiency of last-mile vaccine delivery by implementing an informed push model. The specific goals were to improve vaccine lead time, standardize cold chain management during transportation, and evaluate the costs of implementing the informed push model. A mixed methods approach was used to evaluate the impact of the informed push model in Gomba district, Uganda. Both quantitative and qualitative data were collected at baseline and endline. Quantitative data included mode, frequency, lead-time, and costs of vaccine delivery, vaccine stock status, and cold chain maintenance during transportation, gathered through semi-structured interviews. Qualitative data on experiences and challenges were collected using a guide. Descriptive statistics were used for quantitative data analysis, while an ingredients approach was used for costing data. Thematic analysis was applied to qualitative data. The informed push system significantly improved vaccine delivery efficiency and quality in Gomba district. The average lead-time for vaccine delivery reduced from 14 days at baseline to 5 days at endline. Timely vaccine receipt at health facilities increased from 36.8% to 100%. Temperature monitoring during transit improved from 26.3% to 100%. The proportion of facilities experiencing stock-outs dropped from 79.0% to 36.8%. Monthly distribution costs decreased from $494.8 ($0.07 per child) to $445.9 ($0.06 per child). The informed push model is a cost-effective strategy for improving last-mile vaccine delivery by reducing lead times, enhancing cold chain management, and decreasing stock-outs. Integration into the national immunization program is recommended for broader adoption in Uganda.
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.