ReviewPatient preference and adherence2014
Patient adherence issues in the treatment of hepatitis C.
Review in Patient preference and adherence, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Hepatitis C cure as a 'gathering': Attending to the social and material relations of hepatitis C treatment.Sociology of health & illness · 2022Article
- Adherence to clinical follow-up recommendations for liver function tests: A cross-sectional study of patients with HCV and their associated risk behaviors.Preventive medicine reports · 2021Article
- Efficacy and tolerability of DAAs in HCV-monoinfected and HCV/HIV-coinfected patients with psychiatric disorders.BMC infectious diseases · 2020Observational
- A Randomized Controlled Trial to Assess the Impact of Clinical Pharmacy Interventions on Treatment Outcomes, Health Related Quality of Life and Medication Adherence Among Hepatitis C Patients.Patient preference and adherence · 2019Article
- Cost effectiveness of hepatitis C treatments: Need for a comprehensive evaluation.The Kaohsiung journal of medical sciences · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The current standard-of-care treatments for chronic hepatitis C, based on a bitherapy that combines peginterferon alpha-2a or -2b and ribavirin for all genotypes, and on a triple therapy with the addition of an antiprotease specifically for genotype 1, are associated with a limited adherence that decreases their efficacy. The main factors limiting adherence are difficulties in taking the treatment and side effects that worsen the quality of life of the patients. Programs of therapeutic education are essential to improve adherence, quality of life, likelihood of viral suppression, improvement of liver disease, and decrease of late complications. Therapeutic education should be understood as an acquisition of decisional, technical, and social competency with the purpose of making the patient able to make health choices, realize their own life plans, and use health care resources in the best manner. The patient should be placed in the center of an organization, comprising various care workers who include social service professionals and medical staff. For hepatitis C, therapeutic education may be separated into three phases: a first phase corresponding to the educative diagnosis; a second phase corresponding to support during treatment; and the third phase corresponding to support after treatment. Therapeutic education is performed using various instruments and methods specifically adapted to the needs and expectations of individual patients. Upcoming treatments for hepatitis C, with evidence for high efficacy, few side effects, and shorter duration, will certainly change the landscape of adherence and the management of therapeutic education.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.