Evidence map›Paper›PMID 25045533›Full record

ArticleAIDS research and treatment2014

Cost of Care for HIV-Infected Patients with Co-Occurring Substance Use Disorder or Psychiatric Disease: Report from a Large, Integrated Health Plan.

Gerald N DeLorenze, Ai-Lin Tsai, Michael A Horberg, Charles P Quesenberry

Abstract read
In one paragraph

Article in AIDS research and treatment, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

4 authors.

Gerald N DeLorenzeDivision of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612, USA.
Ai-Lin TsaiDivision of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612, USA.
Michael A HorbergMid-Atlantic Permanente Research Institute, Mid-Atlantic Permanente Medical Group, Rockville, MD 20852, USA.
Charles P QuesenberryDivision of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612, USA.

Funding

Integrated Drug and Medical Care-Cost and EffectivenessR37DA010572 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WEISNER, CONSTANCE M. · 2001 to 2010
$4.7M
NIDA NIH HHS R37 DA010572
6 · The paper itself

Abstract

Background. The costs of providing care to HIV-infected (HIV+) patients with co-occurring diagnoses of substance use (SU) disorder or psychiatric disease (PD) are not well documented. It is our objective to evaluate costs in these HIV+ patients receiving care in a large health plan. Methods. We conducted a retrospective cohort study from 1995 to 2010 to compare costs of healthcare in HIV+ patients with and without co-occurring SU disorder and/or PD diagnoses. Estimates of proportional differences in costs (rate ratios) were obtained from repeated measures generalized linear regression. Models were stratified by cost category (e.g., inpatient, outpatient). Results. Mean total healthcare costs per patient per year were higher in HIV+ patients diagnosed with SU disorder or PD compared to HIV+ patients without these comorbid conditions. After controlling for confounders, total mean costs remained significantly higher in patients diagnosed with SU disorder (RR = 1.24, 95% CI = 1.18-1.31) or PD (RR = 1.19, 95% CI = 1.15-1.24). Mean outpatient care costs were significantly greater in patients with both SU disorder and PD (RR = 1.52, 95% CI = 1.41-1.64). Conclusions. Given these higher expenditures in the care of HIV+ patients with comorbid SU disorder and/or PD, greater efforts to facilitate SU disorder or PD treatment initiation and persistence could provide substantial savings.

Identifiers

PMID25045533
PMCPMC4090559

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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.