Evidence map›Paper›PMID 29549065›Full record

ArticleJMIR public health and surveillance2018

Defining Care Patterns and Outcomes Among Persons Living with HIV in Washington, DC: Linkage of Clinical Cohort and Surveillance Data.

Amanda D Castel, Arpi Terzian, Jenevieve Opoku, Lindsey Powers Happ, Naji Younes, Michael Kharfen, Alan Greenberg, DC Cohort Executive Committee

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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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

8 authors.

Amanda D CastelDepartment of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States.ORCID http://orcid.org/0000-0002-9095-2413
Arpi TerzianDepartment of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States.ORCID http://orcid.org/0000-0001-8956-4010
Jenevieve OpokuHIV/AIDS, Hepatitis, STD, and TB Administration, The District of Columbia Department of Health, Washington, DC, United States.ORCID http://orcid.org/0000-0002-0085-057X
Lindsey Powers HappDepartment of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States.ORCID http://orcid.org/0000-0002-6782-1618
Naji YounesDepartment of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States.ORCID http://orcid.org/0000-0002-8913-0340
Michael KharfenHIV/AIDS, Hepatitis, STD, and TB Administration, The District of Columbia Department of Health, Washington, DC, United States.ORCID http://orcid.org/0000-0002-3569-8184
Alan GreenbergDepartment of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States.ORCID http://orcid.org/0000-0003-1674-0217
DC Cohort Executive Committee *Department of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States.

Funding

The DC Cohort: A Longitudinal Population-Based Cohort Study of People Living with HIV in Washington, DCR24AI152598 · NIAID · GEORGE WASHINGTON UNIVERSITY · PI Amanda Derryck Castel, Marinella Temprosa · 2020 to 2026
$37.9M
CPCRA Clinical Trials UnitU01AI069503 · NIAID · GEORGE WASHINGTON UNIVERSITY · PI GORDIN, FRED M · 2007 to 2011
$33.9M
NIAID NIH HHS R24 AI152598NIAID NIH HHS U01 AI069503
6 · The paper itself

Abstract

backgroundTriangulation of data from multiple sources such as clinical cohort and surveillance data can help improve our ability to describe care patterns, service utilization, comorbidities, and ultimately measure and monitor clinical outcomes among persons living with HIV infection.

objectivesThe objective of this study was to determine whether linkage of clinical cohort data and routinely collected HIV surveillance data would enhance the completeness and accuracy of each database and improve the understanding of care patterns and clinical outcomes.

methodsWe linked data from the District of Columbia (DC) Cohort, a large HIV observational clinical cohort, with Washington, DC, Department of Health (DOH) surveillance data between January 2011 and June 2015. We determined percent concordance between select variables in the pre- and postlinked databases using kappa test statistics. We compared retention in care (RIC), viral suppression (VS), sexually transmitted diseases (STDs), and non-HIV comorbid conditions (eg, hypertension) and compared HIV clinic visit patterns determined using the prelinked database (DC Cohort) versus the postlinked database (DC Cohort + DOH) using chi-square testing. Additionally, we compared sociodemographic characteristics, RIC, and VS among participants receiving HIV care at ≥3 sites versus <3 sites using chi-square testing.

resultsOf the 6054 DC Cohort participants, 5521 (91.19%) were included in the postlinked database and enrolled at a single DC Cohort site. The majority of the participants was male, black, and had men who have sex with men (MSM) as their HIV risk factor. In the postlinked database, 619 STD diagnoses previously unknown to the DC Cohort were identified. Additionally, the proportion of participants with RIC was higher compared with the prelinked database (59.83%, 2678/4476 vs 64.95%, 2907/4476; P<.001) and the proportion with VS was lower (87.85%, 2277/2592 vs 85.15%, 2391/2808; P<.001). Almost a quarter of participants (23.06%, 1279/5521) were identified as receiving HIV care at ≥2 sites (postlinked database). The participants using ≥3 care sites were more likely to achieve RIC (80.7%, 234/290 vs 62.61%, 2197/3509) but less likely to achieve VS (72.3%, 154/213 vs 89.51%, 1869/2088). The participants using ≥3 care sites were more likely to have unstable housing (15.1%, 64/424 vs 8.96%, 380/4242), public insurance (86.1%, 365/424 vs 57.57%, 2442/4242), comorbid conditions (eg, hypertension) (37.7%, 160/424 vs 22.98%, 975/4242), and have acquired immunodeficiency syndrome (77.8%, 330/424 vs 61.20%, 2596/4242) (all P<.001).

conclusionsLinking surveillance and clinical data resulted in the improved completeness of each database and a larger volume of available data to evaluate HIV outcomes, allowing for refinement of HIV care continuum estimates. The postlinked database also highlighted important differences between participants who sought HIV care at multiple clinical sites. Our findings suggest that combined datasets can enhance evaluation of HIV-related outcomes across an entire metropolitan area. Future research will evaluate how to best utilize this information to improve outcomes in addition to monitoring them.

Indexed as

antiretroviral therapyhealth information technologyHIV/AIDSretentionsurveillanceviral suppression

Identifiers

PMID29549065
PMCPMC5878363

What OpenQuestion holds

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LicenceCC BY
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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.