Evidence map›Paper›PMID 27066147›Full record

ArticleGMS health technology assessment2016

Complex health care interventions: Characteristics relevant for ethical analysis in health technology assessment.

Kristin Bakke Lysdahl, Bjørn Hofmann

Abstract read
In one paragraph

Article in GMS health technology assessment, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

2 authors.

Kristin Bakke LysdahlCentre for Medical Ethics, University of Oslo, Oslo, Norway.
Bjørn HofmannCentre for Medical Ethics, University of Oslo, Oslo, Norway; The Norwegian University of Science and Technology, Gjøvik, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complexity entails methodological challenges in assessing health care interventions. In order to address these challenges, a series of characteristics of complexity have been identified in the Health Technology Assessment (HTA) literature. These characteristics are primarily identified and developed to facilitate effectiveness, safety, and cost-effectiveness analysis. However, ethics is also a constitutive part of HTA, and it is not given that the conceptions of complexity that appears relevant for effectiveness, safety, and cost-effectiveness analysis are also relevant and directly applicable for ethical analysis in HTA. The objective of this article is therefore to identify and elaborate a set of key characteristics of complex health care interventions relevant for addressing ethical aspects in HTA. We start by investigating the relevance of the characteristics of complex interventions, as defined in the HTA literature. Most aspects of complexity found to be important when assessing effectiveness, safety, and efficiency turn out also to be relevant when assessing ethical issues of a given health technology. However, the importance and relevance of the complexity characteristics may differ when addressing ethical issues rather than effectiveness. Moreover, the moral challenges of a health care intervention may themselves contribute to the complexity. After identifying and analysing existing conceptions of complexity, we synthesise a set of five key characteristics of complexity for addressing ethical aspects in HTA: 1) multiple and changing perspectives, 2) indeterminate phenomena, 3) uncertain causality, 4) unpredictable outcome, and 5) ethical complexity. This may serve as an analytic tool in addressing ethical issues in HTA of complex interventions.

Indexed as

complex interventioncomplex technologyethical analysisethicshealth technologyhealth technology assessment

Identifiers

PMID27066147
PMCPMC4811193

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.