Evidence map›Paper›PMID 19929229›Full record

ArticleAIDS patient care and STDs2009

Factors that influence an HIV coinfected patient's decision to start hepatitis C treatment.

Karen Chan Osilla, Gery Ryan, Laveeza Bhatti, Matthew Goetz, Mallory Witt, Glenn Wagner

Abstract read
In one paragraph

Article in AIDS patient care and STDs, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
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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

6 authors.

Karen Chan OsillaRAND Corporation, Santa Monica, California 90407, USA. karenc@rand.org
Gery Ryan
Laveeza Bhatti
Matthew Goetz
Mallory Witt
Glenn Wagner

Funding

Enhancing HCV Treatment Decisions in HIV Co-Infected Patients and Their ProvidersR21MH078740 · NIMH · RAND CORPORATION · PI WAGNER, GLENN JOHN · 2008 to 2009
$432k
NIMH NIH HHS R21 MH078740
6 · The paper itself

Abstract

Liver disease is a leading cause of morbidity and mortality among patients coinfected with HIV and hepatitis C (HCV), yet few HIV coinfected patients actually receive HCV treatment. Providers must first be willing to prescribe treatment, but the patient ultimately makes the decision to accept or decline a treatment recommendation. We used a process model framework to explore the factors influencing patients' treatment decision-making. We conducted semistructured interviews with 35 HIV coinfected patients and 11 primary care providers at three HIV clinics in Los Angeles, California. Patients reported that stability of HIV disease, perceived need for HCV treatment, treatment readiness, willingness to deal with side effects, absence of substance abuse, and stability of mental health and overall life circumstances are key factors influencing treatment decision-making. Patients also spoke of the influence of the trusting relationship that many had with their provider, and providers acknowledged an awareness of the influence of how they present the risks and benefits of HCV treatment and the overall tone of their recommendation (encouraging, dissuasive, or neutral). These results speak to a social decision-making process between the patient and provider-a partnership that involves sequential interactions whereby both the patient and provider may influence the other's evaluation of the patient's readiness for treatment, with treatment initiation dependent on both agreeing on the need for treatment and the patient's readiness for treatment.

Indexed as

AdultAntiviral AgentsDecision MakingFemaleHepatitis CHIV InfectionsHumansInterviews as TopicMaleMiddle AgedPhysician-Patient RelationsAntiviral Agents

Identifiers

PMID19929229
PMCPMC2832645

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.