Evidence map›Paper›PMID 33589457›Full record

ArticleBMJ open2021

Cost-effectiveness and budget impact analysis of facility-based screening and treatment of hepatitis C in Punjab state of India.

Yashika Chugh, Madhumita Premkumar, Gagandeep Singh Grover, Radha K Dhiman, Yot Teerawattananon, Shankar Prinja

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

6 authors at 4 institutions in 3 countries.

Yashika ChughDepartment of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research School of Public Health, Chandigarh, Punjab, India.
Madhumita PremkumarDepartment of Hepatology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.ORCID 0000-0003-2961-4148
Gagandeep Singh GroverDepartment of Health and Family Welfare, National Viral Hepatitis Control Program, Government of Punjab, Chandigarh, India.
Radha K DhimanDirector, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.
Yot TeerawattananonHealth Intervention and Technology Assessment Program, Ministry of Public Health, Mueang Nonthaburi, Nonthaburi, Thailand.
Shankar PrinjaDepartment of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India shankarprinja@gmail.com.ORCID 0000-0001-7719-6986
Post Graduate Institute of Medical Education and Research · INGovernment of India · INMinistry of Public Health · THSanjay Gandhi Post Graduate Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDespite treatment availability, chronic hepatitis C virus (HCV) public health burden is rising in India due to lack of timely diagnosis. Therefore, we aim to assess incremental cost per quality-adjusted life year (QALY) for one-time universal screening followed by treatment of people infected with HCV as compared with a no screening policy in Punjab, India. STUDY

designDecision tree integrated with Markov model was developed to simulate disease progression. A societal perspective and a 3% annual discount rate were considered to assess incremental cost per QALY gained. In addition, budgetary impact was also assessed with a payer's perspective and time horizon of 5 years. STUDY

settingScreening services were assumed to be delivered as a facility-based intervention where active screening for HCV cases would be performed at 22 district hospitals in the state of Punjab, which will act as integrated testing as well as treatment sites for HCV.

interventionTwo intervention scenarios were compared with no universal screening and treatment (routine care). Scenario I-screening with ELISA followed by confirmatory HCV-RNA quantification and treatment. Scenario II-screening with rapid diagnostic test (RDT) kit followed by confirmatory HCV-RNA quantification and treatment. PRIMARY AND SECONDARY OUTCOME MEASURES: Lifetime costs; life years and QALY gained; and incremental cost-effectiveness ratio for each of the above-mentioned intervention scenario as compared with the routine care.

resultsScreening with ELISA and RDT, respectively, results in a gain of 0.028 (0.008 to 0.06) and 0.027 (0.008 to 0.061) QALY per person with costs decreased by -1810 Indian rupees (-3376 to -867) and -1812 Indian rupees (-3468 to -850) when compared with no screening. One-time universal screening of all those ≥18 years at a base coverage of 30%, with ELISA and RDT, would cost 8.5 and 8.3 times more, respectively, when compared with screening the age group of the cohort 40-45 years old.

conclusionOne-time universal screening followed by HCV treatment is a dominant strategy as compared with no screening. However, budget impact of screening of all ≥18-year-old people seems unsustainable. Thus, in view of findings from both cost-effectiveness and budget impact, we recommend beginning with screening the age cohort with RDT around mean age of disease presentation, that is, 40-45 years, instead of all ≥18-year-old people.

Indexed as

Hepatitis CHepatitis C, ChronicAdolescentAdultCost-Benefit AnalysisHepacivirusHumansIndiaMass ScreeningMiddle AgedQuality-Adjusted Life Yearshealth economicshealth policypublic health

Identifiers

PMID33589457
PMCPMC7887370
OpenAlexW3131560485

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.