Evidence map›Paper›PMID 21756008›Full record

ArticlePharmacoEconomics2011

To fund or not to fund: development of a decision-making framework for the coverage of new health technologies.

Tania Stafinski, Devidas Menon, Christopher McCabe, Donald J Philippon

Abstract read
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In one paragraph

Article in PharmacoEconomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

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  15. Assessing the impact of deliberative processes on the views of participants: is it 'in one ear and out the other'?Health expectations : an international journal of public participation in health care and health policy · 2014
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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

4 authors.

Tania StafinskiSchool of Public Health, University of Alberta, Edmonton, AB, Canada. tanias@ualberta.ca
Devidas Menon
Christopher McCabe
Donald J Philippon

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAttempts to improve the acceptability of resource allocation decisions around new health technologies have spanned many years, fields and disciplines. Various theories of decision making have been tested and methods piloted, but, despite their availability, evidence of sustained uptake is limited. Since the challenge of determining which of many technologies to fund is one that healthcare systems have faced since their inception, an analysis of actual processes, criticisms confronted and approaches used to manage them may serve to guide the development of an 'evidence-informed' decision-making framework for improving the acceptability of decisions.

objectiveThe purpose of this study was to develop a technology funding decision-making framework informed by the experiences of multiple healthcare systems and the views of senior-level decision makers in Canada.

methodsA 1-day, facilitated workshop was held with 16 senior-level healthcare decision makers in Canada. International examples of actual technology funding decision-making processes were presented. Participants discussed key elements of these processes, debated strengths and weaknesses and highlighted unresolved challenges. The findings were used to construct a technology decision-making framework on which participant feedback was then sought. Its relevance, content, structure and feasibility were further assessed through key informant interviews with ten additional senior-level decision makers.

resultsSix main issues surrounding current processes were raised: (i) timeliness; (ii) methodological considerations; (iii) interpretations of 'value for money'; (iv) explication of social values; (v) stakeholder engagement; and (vi) 'accountability for reasonableness'. While no attempt was made to force consensus on what should constitute each of these, there was widespread agreement on questions that must be addressed through a 'robust' process. These questions, grouped and ordered into three phases, became the final framework.

conclusionsA decision-making framework informed by processes in other jurisdictions and the views of local decision makers was developed. Pilot testing underway in one Canadian jurisdiction will identify any further refinements needed to optimize its usefulness.

Indexed as

Biomedical TechnologyCanadaDecision MakingDelivery of Health CareHumansResource Allocation

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.