ArticleFuture healthcare journal2023
To find fault is easy, to find no-fault is fair.
Article in Future healthcare journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
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Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The inequity of medical negligence-based adversarial litigation in the USA, UK and Australia is a recognised target for reform. Plaintiff autonomy is weakened by a dispute resolution system that has evolved around lawyers, opposed experts and indemnity insurers; the need to prove breach and causation excludes compensation for other categories of medical injury; and patient access to the system is restricted by high entry costs. Two strategies towards reform are raised here. A short-term approach involves routine initial use of a single court-appointed medical expert for assessment of errors and liabilities, thus improving access while relegating fault-finding to a reserve role. In the longer term, adversarial litigation could be replaced in part by a no-fault compensation scheme - such as in Scandinavia, France and New Zealand - funded by taxation and by re-directed medical indemnity fees. Reforms such as these would be challenging to implement, but are achievable, so it is not premature for relevant bodies to consider a timetable for action.
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Registered trials
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.