Evidence map›Paper›PMID 33247820›Full record

ArticleInternational journal of clinical pharmacy2021

Improving access to the treatment of hepatitis C in low- and middle-income countries: evaluation of a patient assistance programme.

Salamat Ali, Tofeeq Ur-Rehman, Mashhood Ali, Sayeed Haque, Faisal Rasheed, Eleri Lougher, Muhammad Sarfraz Nawaz, Vibhu Paudyal

Open access · hybridAbstract read
In one paragraph

Article in International journal of clinical pharmacy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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

8 authors at 6 institutions in 2 countries.

Salamat AliDepartment of Pharmacy, Quaid-i-Azam University, Islamabad, Pakistan.
Tofeeq Ur-RehmanDepartment of Pharmacy, Quaid-i-Azam University, Islamabad, Pakistan.
Mashhood AliDepartment of Gastroenterology, Pakistan Institute of Medical Sciences (PIMS), Islamabad, Pakistan.
Sayeed HaqueInstitute of Clinical Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
Faisal RasheedUBT Laboratory, Nuclear Medicines, Oncology and Radiotherapy Institute, Islamabad, Pakistan.
Eleri LougherAbertawe Bro Morgannwg University Health Board, Princess of Wales Hospital, Bridgend, UK.
Muhammad Sarfraz NawazDivision of Biologicals, Drug Regulatory Authority of Pakistan, Islamabad, Pakistan.
Vibhu PaudyalSchool of Pharmacy, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK. v.paudyal@bham.ac.uk.ORCID http://orcid.org/0000-0002-4173-6490
Quaid-i-Azam University · PKUniversity of Birmingham · GBInstitute of Radiotherapy and Nuclear Medicine · PKPakistan Institute of Medical Sciences · PKPakistan Nuclear Regulatory Authority · PKPrincess of Wales Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Modern antiviral treatments have high cure rates against the hepatitis C virus however, the high cost associated with branded medicines and diagnostic tests, have resulted in poor access for many low-income patients residing in low-and-middle-income countries. Objective This study aimed to evaluate the role of a patient assistance programme and generic medicines in improving access to treatment of low-income hepatitis C patients in a low-and-middle-income country. Setting A major teaching public hospital in Islamabad, Pakistan. Methods Hepatitis C patients who presented and enrolled for the patient assistance programme during 12 months (1st July 2015 and 30th June 2016) were included. Demography, prescription characteristics, the total costs of Hepatitis C treatment, medicine cost supported by the programme, out-of-pocket cost borne by the patient and average cost effectiveness ratio per sustained virologic response were calculated and compared for different generic and branded regimens. Main outcome measure cost contribution of patient assistance programme. Results A total of 349 patients initiated the treatment through the programme and of those 334 (95.7%) completed the prescribed treatment. There were 294 (88.02%) patients who achieved sustained virologic response. Patient assistance programme contributed medicines cost averaging 60.28-86.26% of the total cost of treatment ($1634.6) per patient. The mean (SE) cost per patient for generic option (Sofosbuvir/Ribavirin) was the lowest [$658.36 (22.3) per patient, average cost effectiveness ratio = $720.1/SVR] than branded option (Sovaldi/Ribavirin) [$2218.66 (37.6) per patient, average cost effectiveness ratio = $2361.8/SVR] of the three available treatment regimens. From patients' perspectives, the mean (SE) out-of-pocket cost was $296.9 (6.7) which primarily included diagnostic cost (69.9%) of the total cost. Conclusions Patient assistance programme, combined with generic brands of newer hepatitis C treatment offered a significant reduction in cost and widens access to hepatitis C treatment in low-and middle-income countries. However, substantial out-of-pocket costs of the treatment presents an important barrier for service access. There is a scope to widen such financial assistance programme to offer other costs attributed to patients, specifically for diagnosis, to widen service use in low-and-middle-income countries.

Indexed as

Hepatitis CHepatitis C, ChronicAntiviral AgentsDeveloping CountriesDrug Therapy, CombinationHepacivirusHumansRibavirinSofosbuvirAntiviral AgentsRibavirinSofosbuvirAccess to drugsGeneric medicinesHepatitis C treatmentLower-middle-income countryPatient assistant programme

Identifiers

PMID33247820
PMCPMC8352841
OpenAlexW3106689077

What OpenQuestion holds

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LicenceCC BY
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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.