Evidence map›Paper›PMID 30950881›Full record

ArticleAIDS (London, England)2019

Heterogeneity in the costs of medical care among people living with HIV/AIDS in the United States.

Benjamin Enns, Emanuel Krebs, William C Mathews, Richard D Moore, Kelly A Gebo, Bohdan Nosyk, HIV Research Network

Abstract read
In one paragraph

Article in AIDS (London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

7 authors.

Benjamin EnnsBC Centre for Excellence in HIV/AIDS, Vancouver, British Columbia, Canada.
Emanuel KrebsBC Centre for Excellence in HIV/AIDS, Vancouver, British Columbia, Canada.
William C MathewsDepartment of Medicine, University of California, San Diego, La Jolla, California.
Richard D MooreDepartment of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Kelly A GeboDepartment of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Bohdan NosykBC Centre for Excellence in HIV/AIDS, Vancouver, British Columbia, Canada.
HIV Research Network

Funding

Localized economic modeling to support implementation of the Ending the HIV Epidemic initiativeR01DA041747 · NIDA · SIMON FRASER UNIVERSITY · PI NOSYK, BOHDAN · 2016 to 2025
$5.5M
NIDA NIH HHS R01 DA041747
6 · The paper itself

Abstract

objectiveThe costs of medical care for people with HIV/AIDS (PWH) vary substantially across demographic groups, stages of disease progression and regionally across the United States. We aimed to estimate medical costs for PWH and examine the heterogeneity in costs within key patient groups typically distinguished in cost-effectiveness analyses.

designRetrospective cohort study using health administrative databases for diagnosed PWH in care at 17 HIV Research Network sites across the United States.

methodsWe estimated mean quarterly costs for key patient groups using multivariable generalized linear mixed effects models. We used quantile regression to highlight differences in the effect of covariates within each patient group (difference between covariate estimates at the mean versus the 90th percentile of quarterly costs), identifying covariates with a larger effect among the highest cost PWH, or generating greater uncertainty in mean cost estimates.

resultsOur sample included 40 022 patients with a median age of 39 years. Mean quarterly costs were highest for people who inject drugs with advanced disease progression and for PWH on antiretroviral treatment (ART). Within patient groups, we found the most heterogeneity at different levels of resource use for PWH on ART and PWH off ART with CD4 cell counts less than 200 cells/μl, people who inject drugs, as well as PWH in the South.

conclusionThe study quantifies heterogeneity in costs both across and within key PWH patient groups. Our results highlight the need for sensitivity analysis on cost estimates and may inform decisions on model structure in cost-effectiveness analyses on HIV/AIDS treatment and prevention strategies.

Indexed as

Acquired Immunodeficiency SyndromeAdolescentAdultAgedAged, 80 and overComorbidityDemographyFemaleGeographyHealth Care CostsHumansMaleMiddle AgedRetrospective StudiesUnited StatesYoung Adult

Identifiers

PMID30950881
PMCPMC6602862

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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.