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Multi-disciplinary patient-centered model for the expedited provision of costly therapies in community settings: the case of new medication for hepatitis C

Overview of attention for article published in Israel Journal of Health Policy Research, September 2017
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Title
Multi-disciplinary patient-centered model for the expedited provision of costly therapies in community settings: the case of new medication for hepatitis C
Published in
Israel Journal of Health Policy Research, September 2017
DOI 10.1186/s13584-017-0172-1
Pubmed ID
Authors

Nitzan Avisar, Yael Heller, Clara Weil, Aviva Ben-Baruch, Shani Potesman-Yona, Ran Oren, Gabriel Chodick, Varda Shalev, Nachman Ash

Abstract

In January 2015, the first interferon-free direct-acting antiviral (DAA) therapy for chronic hepatitis C virus (HCV) infection was approved for inclusion in Israel's national basket of health services. During 2015, HCV genotype 1 patients with advanced liver fibrosis (stage F3-F4) were eligible for treatment with ombitasvir/paritaprevir/ritonavir and dasabuvir (OMB/PTV/r + DSV) provided through the four national health plans. As all health plans committed to identifying eligible patients nationwide, risk-sharing agreements created an additional incentive to develop an innovative model for rapid treatment delivery. This article aims to describe the development and implementation of a multi-disciplinary patient-centered model for the expedited provision of costly therapies in a community setting, based on experience delivering new HCV therapy in 2015. We present the case of the Central District in Maccabi Healthcare Services (MHS), one of five districts in a 2-million-member healthcare provider. We describe the dimensions of the model and its implementation, including the composition and responsibilities of the multi-disciplinary team, screening for patient eligibility, provision of care, and barriers and facilitators identified at each stage. The experience of the MHS Central District indicates that good communication between all stakeholders was the key driver of successful implementation of the model. Overall, monthly treatment uptake increased following the intervention and by the end of 2015 a total of 99 patients were treated with OMB/PTV/r + DSV in this district. Early data indicate high effectiveness in this population and evaluation in ongoing. This multi-disciplinary patient-centered model enabled rapid integration of screening and disease staging to identify and treat eligible HCV patients in the MHS central district. The model forms the basis of the 2017 project to deliver DAAs according to broader health basket criteria and may be adapted for the provision of other innovative health technologies in different healthcare settings.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 84 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 20%
Researcher 10 12%
Student > Bachelor 8 10%
Student > Doctoral Student 7 8%
Other 5 6%
Other 11 13%
Unknown 26 31%
Readers by discipline Count As %
Medicine and Dentistry 18 21%
Nursing and Health Professions 8 10%
Social Sciences 6 7%
Pharmacology, Toxicology and Pharmaceutical Science 5 6%
Business, Management and Accounting 5 6%
Other 13 15%
Unknown 29 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 October 2017.
All research outputs
#20,448,386
of 23,003,906 outputs
Outputs from Israel Journal of Health Policy Research
#494
of 580 outputs
Outputs of similar age
#280,175
of 321,004 outputs
Outputs of similar age from Israel Journal of Health Policy Research
#13
of 16 outputs
Altmetric has tracked 23,003,906 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 580 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 321,004 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.