Evidence map›Paper›PMID 38752075›Full record

ArticleCureus2024

Risk Factors Associated With Unsuccessful Linkage to Outpatient Hepatitis C Care.

Carlo Foppiano Palacios, Brianna Dubose, Sarah Schmalzle

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. 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

3 authors.

Carlo Foppiano PalaciosDepartment of Medicine, Cooper University Hospital, Camden, USA.
Brianna DuboseDepartment of Medicine, University of Maryland School of Medicine, Baltimore, USA.
Sarah SchmalzleInstitute of Human Virology, University of Maryland School of Medicine, Baltimore, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Modern direct-acting antivirals (DAAs) can treat and cure hepatitis C virus (HCV) infection. Treatment of HCV at a population level has the potential to decrease the prevalence of chronic HCV infection and sequela. Unfortunately, many patients fall off the HCV treatment cascade and do not complete HCV treatment. As social determinants of health (SDHs) affect HCV acquisition, we sought to evaluate factors that may limit successful linkage to outpatient HCV care. Methods We conducted a case-control study by matching patients who missed and those who attended their outpatient HCV visits in 2018. We matched cases in a 1:1 ratio using propensity scores. Results Of 1,539 patients, 161 (10.5%) did not attend their HCV clinic appointment. Factors associated with a missed HCV visit on bivariate testing included identifying as Black (p=0.03), housing instability (p<0.001), transportation difficulty (p<0.001), history of medication non-adherence (p<0.001), and undergoing screening during an inpatient admission (p<0.001). Multivariate testing found transportation difficulty (p<0.001) and inpatient admission (p=0.002) to be associated with missing their HCV appointment. Patients who attended their HCV visit were more likely to be alive by the end of 2018 (p=0.07). Conclusion Patients who missed an initial scheduled infectious disease (ID) clinic appointment for HCV treatment had higher rates of housing instability, transportation difficulties, and medication non-adherence. Patients diagnosed with HCV infection should be provided additional support as appropriate to address the social determinants of health that may limit linkage to outpatient HCV care.

Indexed as

barriers to carehepatitis c virus (hcv) infectionlinkage to caresocial determinants of health (sdhs)transitions of care

Identifiers

PMID38752075
PMCPMC11095415

What OpenQuestion holds

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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.