Evidence map›Paper›PMID 41647669›Full record

ArticleThe journal of climate change and health

Role of medicines dispensation data in city-based air-health surveillance and health preparedness.

Ritu Parchure, Santu Ghosh, Santosh Satam, Aparna Gokhale, Balasaheb Pawar, Vinay Kulkarni

Abstract read
In one paragraph

Article in The journal of climate change and health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ritu ParchurePrayas Health Group, Pune, India.
Santu GhoshSt John's Medical College, Bengaluru, India.
Santosh SatamDepartment of Pharmacy, Deenanath Mangeshkar Hospital and Research Center, Pune, India.
Aparna GokhaleDepartment of Pharmacy, Deenanath Mangeshkar Hospital and Research Center, Pune, India.
Balasaheb PawarDepartment of Respiratory Medicine, Deenanath Mangeshkar Hospital and Research Center, Pune, India.
Vinay KulkarniPrayas Health Group, Pune, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Air pollution in India is a significant public health issue. Air-health surveillance has been recently introduced in heavily polluted Indian cities, to inform relevant mitigation and health preparedness actions. The air-health surveillance tracks emergency room visits (ERV) for acute respiratory illnesses in select sentinel hospitals. Reporting from multiple facilities is necessary to get a representative picture, but expanding coverage poses challenges. In this context, pharmaceutical data can serve as an alternative data source to aid surveillance efforts. Methods: We examined the potential role of data on sales of respules (a combination of corticosteroid and bronchodilator medicines, used in nebulizers) as an indicator in air-health surveillance. The association between daily respules sold at a trust-based hospital in Pune, India, and daily concentration of local ambient particulate matter (PM Results: A positive correlation, with a lag effect, was observed. A 10 µg/m Discussion: The findings indicate that respules sold could serve as a reliable proxy for tracking health impacts from air pollution. Conclusion: Our study provides a proof-of-concept analysis showing that pharmaceutical data can be used as a proxy measure to assess the short-term health impacts of air pollution. Further exploration is needed to evaluate its utility for air-health surveillance efforts in India.

Indexed as

Ambient air pollutionClimate changeHealth adaptationHealth impactsHealth surveilliance

Identifiers

PMID41647669
PMCPMC12851262

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.