Evidence map›Paper›PMID 25411095›Full record

ArticlePharmacoEconomics2015

Resource modelling: the missing piece of the HTA jigsaw?

Praveen Thokala, Simon Dixon, Beate Jahn

Abstract read
PubMed Publisher
In one paragraph

Article in PharmacoEconomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Quantifying the Impact of Capacity Constraints in Economic Evaluations: An Application in Precision Medicine.Medical decision making : an international journal of the Society for Medical Decision Making · 2022
    Article
  8. Article
  9. Addressing Challenges of Economic Evaluation in Precision Medicine Using Dynamic Simulation Modeling.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2020
    Article
  10. Review
  11. Article
  12. Constrained Optimization for Decision Making in Health Care Using Python: A Tutorial.Medical decision making : an international journal of the Society for Medical Decision Making
    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

3 authors.

Praveen ThokalaHealth Economics and Decision Science, School of Health and Related Research, University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK, p.thokala@sheffield.ac.uk.
Simon Dixon
Beate Jahn

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Within health technology assessment (HTA), cost-effectiveness analysis and budget impact analyses have been broadly accepted as important components of decision making. However, whilst they address efficiency and affordability, the issue of implementation and feasibility has been largely ignored. HTA commonly takes place within a deliberative framework that captures issues of implementation and feasibility in a qualitative manner. We argue that only through a formal quantitative assessment of resource constraints can these issues be fully addressed. This paper argues the need for resource modelling to be considered explicitly in HTA. First, economic evaluation and budget impact models are described along with their limitations in evaluating feasibility. Next, resource modelling is defined and its usefulness is described along with examples of resource modelling from the literature. Then, the important issues that need to be considered when undertaking resource modelling are described before setting out recommendations for the use of resource modelling in HTA.

Indexed as

Models, EconomicBiomedical TechnologyBudgetsCost-Benefit AnalysisDecision MakingHumansTechnology Assessment, Biomedical

Identifiers

What OpenQuestion holds

Textmetadata
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.