ArticleTransfusion medicine (Oxford, England)2026
Timely geographic access to blood banking facilities: A pan-India modelling study.
Article in Transfusion medicine (Oxford, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEfficient blood transfusion planning requires knowledge of the distribution and accessibility of blood banking facilities (BBFs). We mapped population-level, timely geographic access to BBFs across 735 districts across India. STUDY DESIGN AND
methodsWe conducted a pan-India geospatial modelling study using 2024 data from e-RaktKosh, a centralised blood management system. As outcomes, we estimated BBFs per million people, travel time to the nearest BBF, and access population coverage (APC), defined as the proportion of the population with access to the nearest BBF by motorised transport (60 min) and walking (30 min).
resultsIn 2024, India had 5679 BBFs, averaging 4.13 facilities per million people. Median travel times to the nearest BBF were 35.25 min by motorised transport and 253.27 min by walking. For APCs, 93.86% of people were within 60 min of their nearest BBF by motorised transport, while 16.21% were within 30 min by walking. There were large differences in APCs across districts and states, with notable rural-urban disparities. DISCUSSION: Access to blood banking facilities in India exhibits geographic disparities, with the northeastern states and island Union Territories having prolonged median travel times and low APC values. Rural areas are disproportionately adversely affected. Future efforts should focus on using timely geographic access data to inform strategic infrastructure planning and resource allocation, enhancing healthcare equity.
Indexed as
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.