Evidence map›Paper›PMID 33246414›Full record

ArticleBMC medical research methodology2020

Patient-specific record linkage between emergency department and hospital admission data for a cohort of people who inject drugs: methodological considerations for frequent presenters.

Rehana Di Rico, Dhanya Nambiar, Belinda Gabbe, Mark Stoové, Paul Dietze

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Article in BMC medical research methodology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Rehana Di RicoProgram for Behaviours and Health Risks, Burnet Institute, 85 Commercial Road, Melbourne, Victoria, 3004, Australia. rehana.dirico@honorary.burnet.edu.au.ORCID 0000-0003-4189-8446
Dhanya NambiarPopulation Health Research, Turning Point/ Central Clinical School, Monash University, 110 Church Street, Richmond, Victoria, 3121, Australia.
Belinda GabbeDepartment of Epidemiology and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, Victoria, 3004, Australia.
Mark StoovéProgram for Behaviours and Health Risks, Burnet Institute, 85 Commercial Road, Melbourne, Victoria, 3004, Australia.
Paul DietzeProgram for Behaviours and Health Risks, Burnet Institute, 85 Commercial Road, Melbourne, Victoria, 3004, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeople who inject drugs (PWID) have been identified as frequent users of emergency department (ED) and hospital inpatient services. The specific challenges of record linkage in cohorts with numerous administrative health records occurring in close proximity are not well understood. Here, we present a method for patient-specific record linkage of ED and hospital admission data for a cohort of PWID.

methodsData from 688 PWID were linked to two state-wide administrative health databases identifying all ED visits and hospital admissions for the cohort between January 2008 and June 2013. We linked patient-specific ED and hospital admissions data, using administrative date-time timestamps and pre-specified linkage criteria, to identify hospital admissions stemming from ED presentations for a given individual. The ability of standalone databases to identify linked ED visits or hospital admissions was examined.

resultsThere were 3459 ED visits and 1877 hospital admissions identified during the study period. Thirty-four percent of ED visits were linked to hospital admissions. Most links had hospital admission timestamps in-between or identical to their ED visit timestamps (n = 1035, 87%). Allowing 24-h between ED visits and hospital admissions captured more linked records, but increased manual inspection requirements. In linked records (n = 1190), the ED 'departure status' variable correctly reflected subsequent hospital admission in only 68% of cases. The hospital 'admission type' variable was non-specific in identifying if a preceding ED visit had occurred.

conclusionsLinking ED visits with subsequent hospital admissions in PWID requires access to date and time variables for accurate temporal sorting, especially for same-day presentations. Selecting time-windows to capture linked records requires discretion. Researchers risk under-ascertainment of hospital admissions if using ED data alone.

Indexed as

Emergency Service, HospitalPharmaceutical PreparationsCohort StudiesHospitalizationHospitalsHumansRetrospective StudiesPharmaceutical PreparationsAdministrative dataAustraliaData linkageFrequent presentersMethodsPatient pathwaysPeople who inject drugsRecord linkageVAEDVEMD

Identifiers

PMID33246414
PMCPMC7694355

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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.