Evidence map›Paper›PMID 39446253›Full record

ArticleHealth care analysis : HCA : journal of health philosophy and policy2026

Severity and Temporality in Healthcare Priority Setting - A Case for A Condition-specific Affectable Time-neutral Approach.

Lars Sandman, Niklas Juth

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Article in Health care analysis : HCA : journal of health philosophy and policy, 2026. 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
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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.

Lars SandmanNational Centre for Priorities in Health, Department of health, medicine and caring sciences, Linköping university, Linköping, Sweden. lars.sandman@liu.se.ORCID http://orcid.org/0000-0003-0987-7653
Niklas JuthCentre for Research and Bioethics, Department of Public Health and Caring Sciences, Uppsala university, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-1339-4956

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Priority setting of scarce resources in healthcare is high on the agenda of most healthcare systems implying a need to develop robust foundations for making fair allocation decisions. One central factor for such decisions in needs-based systems, following both empirical studies and theoretical analyses, is severity. However, it has been noted that severity is an under-theorized concept. One such aspect is how severity should relate to temporality. There is a rich discussion on temporality and distributive justice, however, this discussion needs to be adapted to the practical and ethical requirements of healthcare priority setting principles at mid-level. In this article, we analyze how temporal aspects should be taken into account when assessing severity as a modifier for cost-effectiveness. We argue that when assessing the severity of a condition, we have reason to look at complete conditions from a time-neutral perspective, meaning that we take the full affectable stretch of the condition into account without modifying severity as patients move through the temporal stretch and without discounting the future. We do not find support for taking the 'shape' of a condition into account per se, e.g. whether the severity has a declining or inclining curve, or that severity is intermittent rather than continuous. In order to take severity seriously, we argue that we have reason to apply a quantified approach where every difference in severity should impact on priority setting. In conclusion, we find that this approach is practically useful in actual priority setting.

Indexed as

Health Care RationingHealth PrioritiesSeverity of Illness IndexCost-Benefit AnalysisCost-Effectiveness AnalysisDecision MakingHumansTime FactorsFair AllocationHealthcarePriority SettingRationingSeverity

Identifiers

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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.