ArticleBMC health services research2025
Towards mitigating overcrowding in urban Indian healthcare facilities: stakeholder perception analysis for existing and potential new patient referral mechanisms.
Article in BMC health services research, 2025. 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPublic healthcare delivery in India faces several operational challenges, including congestion and long wait times at higher-level facilities and low utilization of lower-level facilities. Effective referral mechanisms can help address these issues. However, before designing and implementing potential new referral mechanisms, it is essential to understand patient and provider views. The objective of this study is to quantitatively assess patient and provider perceptions of both existing and potential new referral mechanisms and their association with patient socioeconomic and demographic attributes.
methodsA cross-sectional survey was conducted to record and examine patient referral mechanisms - from patient and provider perspectives - currently operational at public healthcare facilities in an urban Indian district. Patient and doctor perceptions regarding potential new referral mechanisms were also assessed, such as medical referral with noncompliance penalties for out-of-turn visits to higher-level facilities, and operational referral, which involves referring patients to same-tier facilities with lower patient loads. Multinomial logistic regression was used to identify statistically significant associations between patient perceptions and socioeconomic and demographic attributes.
resultsSurvey results provided quantitative evidence of nonadherence to existing referral mechanisms by a significant proportion of patients, and logistic regression analyses showed statistical associations between patient socioeconomic and demographic variables and their willingness towards implementation of potential new referral mechanisms.
conclusionsBased on study findings, existing referral mechanisms can be strengthened, and potential new referral mechanisms, with appropriate refinements, can be introduced to mitigate overcrowding, care provision delays, and other operational challenges in Indian healthcare delivery.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.