Evaluating concordance between government administrative data and externally collected data among high-volume government health facilities in Uttar Pradesh, India.

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.

1. Association of affirmative action with health and education outcomes and services in India.Proceedings of the National Academy of Sciences of the United States of America · 2025
   Article
2. Understanding reasons for and strategic responses to administrative health data misreporting in an Indian state.Health policy and planning · 2023
   Article
3. Survey implementation process and interviewer effects on skipping sequence of maternal and child health indicators from National Family Health Survey: An application of cross-classified multilevel model.SSM - population health · 2022
   Article
4. National guidelines for data quality in surveys: An overview.The Indian journal of medical research · 2022
   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

6 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.

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