Evidence map›Paper›PMID 30178073›Full record

ArticleHealth care analysis : HCA : journal of health philosophy and policy2019

Why We Don't Need "Unmet Needs"! On the Concepts of Unmet Need and Severity in Health-Care Priority Setting.

Lars Sandman, Björn Hofmann

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In one paragraph

Article in Health care analysis : HCA : journal of health philosophy and policy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Pooled it
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  6. Should Severity Assessments in Healthcare Priority Setting be Risk- and Time-Sensitive?Health care analysis : HCA : journal of health philosophy and policy · 2023
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  13. Severity as a Priority Setting Criterion: Setting a Challenging Research Agenda.Health care analysis : HCA : journal of health philosophy and policy · 2020
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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 SandmanDepartment of Medical and Health Sciences, National Center for Priority Setting in Health-Care, Linköping University, Linköping, Sweden. lars.sandman@liu.se.ORCID http://orcid.org/0000-0003-0987-7653
Björn HofmannInstitute for the Health Sciences, The Norwegian University for Science and Technology (NTNU) Gjøvik, PO Box 191, 2802, Gjøvik, Norway.ORCID http://orcid.org/0000-0001-6709-4265

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In health care priority setting different criteria are used to reflect the relevant values that should guide decision-making. During recent years there has been a development of value frameworks implying the use of multiple criteria, a development that has not been accompanied by a structured conceptual and normative analysis of how different criteria relate to each other and to underlying normative considerations. Examples of such criteria are unmet need and severity. In this article these crucial criteria are conceptually clarified and analyzed in relation to each other. We argue that disease-severity and condition-severity should be distinguished and we find the latter concept better reflects underlying normative values. We further argue that unmet need does not fulfil an independent and relevant role in relation to condition-severity except for in some limited situations when having to distinguish between conditions of equal severity (and where other features also equals each other).

Indexed as

Health Care RationingHealth PrioritiesHealth Services Needs and DemandDecision MakingHumansPriority settingRationingSeverityUnmet need

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.