Residential history, the electronic health record, and clinical medicine: A descriptive study in a lung transplant cohort.

Wayne M Tsuang, Jacqueline Curtis

Abstract read

In one paragraph

Article in Health & place, 2024. 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

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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

2 authors.

Wayne M TsuangLung Transplantation, Pulmonary & Critical Care Medicine, Cleveland Clinic, USA. Electronic address: tsuangw@ccf.org.

Jacqueline CurtisGIS Health & Hazards Lab, Department of Population and Quantitative Health Sciences, Case Western Reserve University, USA.

Funding

A place-based approach to geographic disparities in lung transplantR01HL164660 · NHLBI · CLEVELAND CLINIC LERNER COM-CWRU · PI Wayne M Tsuang · 2023 to 2026

$2.7M

NHLBI NIH HHS R01 HL164660NHLBI NIH HHS R01HL164660-01A1

6 · The paper itself

Abstract

Neighborhood level social determinants of health are commonly measured using a patient's most recent residential location. Not accounting for residential history, and therefore missing accumulated stressors from prior social vulnerabilities, could increase misclassification bias. We tested the hypothesis that the electronic health record could capture the residential history of lung transplant patients -a vulnerable population. After applying the Social Vulnerability Index (SVI) to individual residential histories, the most recent SVI equaled the first SVI in only 15.4% (58/374) of patients. There is a need for databases with residential histories to inform place-based determinants of health and applications to patient care.

Indexed as

Electronic Health RecordsLung TransplantationSocial Determinants of HealthAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedResidence CharacteristicsVulnerable PopulationsHuman mobilityLongitudinal data analysisMedical geographyPlaceResidential historyRespiratory

Identifiers

PMID38943794

DOI10.1016/j.healthplace.2024.103306

PMCPMC11920707

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.