Evidence map›Paper›PMID 27582707›Full record

ArticleFrontiers in pharmacology2016

Health Economic Data in Reimbursement of New Medical Technologies: Importance of the Socio-Economic Burden as a Decision-Making Criterion.

Georgi Iskrov, Svetlan Dermendzhiev, Tsonka Miteva-Katrandzhieva, Rumen Stefanov

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. 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

4 authors.

Georgi IskrovDepartment of Social Medicine and Public Health, Faculty of Public Health, Medical University of PlovdivPlovdiv, Bulgaria; Institute for Rare DiseasesPlovdiv, Bulgaria.
Svetlan DermendzhievSection of Occupational Diseases and Toxicology, Second Department of Internal Medicine, Faculty of Medicine, Medical University of Plovdiv Plovdiv, Bulgaria.
Tsonka Miteva-KatrandzhievaDepartment of Social Medicine and Public Health, Faculty of Public Health, Medical University of PlovdivPlovdiv, Bulgaria; Institute for Rare DiseasesPlovdiv, Bulgaria.
Rumen StefanovDepartment of Social Medicine and Public Health, Faculty of Public Health, Medical University of PlovdivPlovdiv, Bulgaria; Institute for Rare DiseasesPlovdiv, Bulgaria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAssessment and appraisal of new medical technologies require a balance between the interests of different stakeholders. Final decision should take into account the societal value of new therapies.

objectiveThis perspective paper discusses the socio-economic burden of disease as a specific reimbursement decision-making criterion and calls for the inclusion of it as a counterbalance to the cost-effectiveness and budget impact criteria. RESULTS/

conclusionsSocio-economic burden is a decision-making criterion, accounting for diseases, for which the assessed medical technology is indicated. This indicator is usually researched through cost-of-illness studies that systematically quantify the socio-economic burden of diseases on the individual and on the society. This is a very important consideration as it illustrates direct budgetary consequences of diseases in the health system and indirect costs associated with patient or carer productivity losses. By measuring and comparing the socio-economic burden of different diseases to society, health authorities and payers could benefit in optimizing priority setting and resource allocation. New medical technologies, especially innovative therapies, present an excellent case study for the inclusion of socio-economic burden in reimbursement decision-making. Assessment and appraisal have been greatly concentrated so far on cost-effectiveness and budget impact, marginalizing all other considerations. In this context, data on disease burden and inclusion of explicit criterion of socio-economic burden in reimbursement decision-making may be highly beneficial. Realizing the magnitude of the lost socio-economic contribution resulting from diseases in question could be a reasonable way for policy makers to accept a higher valuation of innovative therapies.

Indexed as

burden of diseasecost-effectivenesscost-of-illnessdecision-makinghealth technology assessmentrare diseasesreimbursementsocio-economic burden

Identifiers

PMID27582707
PMCPMC4987332

What OpenQuestion holds

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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.