Evidence map›Paper›PMID 26721732›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2016

Development of a large urban longitudinal HIV clinical cohort using a web-based platform to merge electronically and manually abstracted data from disparate medical record systems: technical challenges and innovative solutions.

Alan E Greenberg, Harlen Hays, Amanda D Castel, Thilakavathy Subramanian, Lindsey Powers Happ, Maria Jaurretche, Jeff Binkley, Mariah M Kalmin, Kathy Wood, Rachel Hart and 1 more

Registry-linked trialAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04998019 (Pragmatic Efficacy Trial of mHealth to Improve HIV Outcomes in the DC Cohort), which is not on this map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing 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.

NCT04998019 nacompletednot on this mapstarted 2022, after this paper: background citation

Pragmatic Efficacy Trial of mHealth to Improve HIV Outcomes in the DC Cohort

TypeinterventionalSponsorGeorge Washington UniversityRan2022 to 2025Enrolled682ConditionsHIV/AIDSArmsPositiveLinks
3 · Its place in the literature

Who cites it

63 citing papers in PubMed.

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3 more citing papers are in PubMed but not listed here.

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

11 authors.

Alan E GreenbergDepartment of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA. aeg1@gwu.edu.
Harlen HaysCerner Corporation, Kansas City, Missouri, USA.
Amanda D CastelDepartment of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA.
Thilakavathy SubramanianCerner Corporation, Kansas City, Missouri, USA.
Lindsey Powers HappDepartment of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA.
Maria JaurretcheDepartment of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA.
Jeff BinkleyCerner Corporation, Kansas City, Missouri, USA.
Mariah M KalminDepartment of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA.
Kathy WoodCerner Corporation, Kansas City, Missouri, USA.
Rachel HartCerner Corporation, Kansas City, Missouri, USA.
DC Cohort Executive Committee

Funding

Terry Beirn CPCRA Clinical Trials UnitUM1AI069503 · NIAID · GEORGE WASHINGTON UNIVERSITY · PI KAN, VIRGINIA · 2012 to 2020
$38.5M
SWG 2: Cure Research Scientific Working GroupP30AI117970 · NIAID · GEORGE WASHINGTON UNIVERSITY · PI Italo Mocchetti · 2015 to 2026
$29.6M
NIAID NIH HHS P30 AI117970NIAID NIH HHS UM1 AI069503
6 · The paper itself

Abstract

objectiveElectronic medical records (EMRs) are being increasingly utilized to conduct clinical and epidemiologic research in numerous fields. To monitor and improve care of HIV-infected patients in Washington, DC, one of the most severely affected urban areas in the United States, we developed a city-wide database across 13 clinical sites using electronic data abstraction and manual data entry from EMRs. MATERIALS AND

methodsTo develop this unique longitudinal cohort, a web-based electronic data capture system (Discovere®) was used. An Agile software development methodology was implemented across multiple EMR platforms. Clinical informatics staff worked with information technology specialists from each site to abstract data electronically from each respective site's EMR through an extract, transform, and load process.

resultsSince enrollment began in 2011, more than 7000 patients have been enrolled, with longitudinal clinical data available on all patients. Data sets are produced for scientific analyses on a quarterly basis, and benchmarking reports are generated semi-annually enabling each site to compare their participants' clinical status, treatments, and outcomes to the aggregated summaries from all other sites. DISCUSSION: Numerous technical challenges were identified and innovative solutions developed to ensure the successful implementation of the DC Cohort. Central to the success of this project was the broad collaboration established between government, academia, clinics, community, information technology staff, and the patients themselves.

conclusionsOur experiences may have practical implications for researchers who seek to merge data from diverse clinical databases, and are applicable to the study of health-related issues beyond HIV.

Indexed as

Databases, FactualElectronic Health RecordsHIV InfectionsInternetCohort StudiesConfidentialityDistrict of ColumbiaHumansSoftwareSystems IntegrationUrban PopulationcohortDC Cohortelectronic medical recordEMRHIV

Identifiers

PMID26721732
PMCPMC4901378

What OpenQuestion holds

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Registered trials

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.