Evidence map›Paper›PMID 41972012›Full record

ArticleInternational journal of population data science2025

Strategies for ascertaining timing of address changes in administrative data.

Joseph Lam, Mario Cortina-Borja, Peter Christen, Richard Thomas, Robert Aldridge, Ruth Blackburn, Ruth Gilbert, Andy Boyd, Katie Harron

Abstract read
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In one paragraph

Article in International journal of population data science, 2025. 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

9 authors.

Joseph LamGreat Ormond Street Institute of Child Health, University College London, UK.
Mario Cortina-BorjaGreat Ormond Street Institute of Child Health, University College London, UK.
Peter ChristenUniversity of Edinburgh, UK.
Richard ThomasUnited Kingdom Longitudinal Linkage Collaboration, Bristol Medical School, University of Bristol, UK.
Robert AldridgeInstitute for Health Metrics and Evaluation, University of Washington, USA.
Ruth BlackburnGreat Ormond Street Institute of Child Health, University College London, UK.
Ruth GilbertGreat Ormond Street Institute of Child Health, University College London, UK.
Andy BoydUnited Kingdom Longitudinal Linkage Collaboration, Bristol Medical School, University of Bristol, UK.
Katie HarronGreat Ormond Street Institute of Child Health, University College London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Addresses captured in administrative health data can facilitate the analysis of place-based exposures and their influence on health. If patients change address, hospital records are updated when individuals next use health services: precise timing of addresses changes must therefore be inferred. There is therefore a need to determine the temporal accuracy of address recording in these data. Using deidentified data, we compared Lower Super Output Areas (LSOAs) derived from English hospital records (NHS_E,

Indexed as

Hospital RecordsHumansTime FactorsUnited KingdomaddressesbiasgeospatialUK LLC

Identifiers

PMID41972012
PMCPMC13062886

What OpenQuestion holds

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Registered trials

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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.