Evidence map›Paper›PMID 34105080›Full record

ArticleApplied health economics and health policy2021

Allocating Public Spending Efficiently: Is There a Need for a Better Mechanism to Inform Decisions in the UK and Elsewhere?

Patricia Cubi-Molla, Martin Buxton, Nancy Devlin

Abstract read
In one paragraph

Article in Applied health economics and health policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. A Multi-dimensional Framework of Valued Output for Primary Care in England.Applied health economics and health policy · 2024
    Review
  2. Article
  3. Article
  4. Self-organization in Slovenian public spending.Royal Society open science · 2023
    Article
  5. Article
  6. Article
  7. Economic Evaluations of Speech and Language Therapy Interventions: A Scoping Review.International journal of language & communication disorders
    Article
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

3 authors.

Patricia Cubi-MollaOffice of Health Economics, 7th Floor Southside, 105 Victoria Street, London SW1E 6QT, London, UK. pcubi-molla@ohe.org.ORCID 0000-0002-2803-7337
Martin BuxtonBrunel University London, London, UK.
Nancy DevlinOffice of Health Economics, 7th Floor Southside, 105 Victoria Street, London SW1E 6QT, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the UK few if any regular processes explicitly address comparisons of value for money between spending in different government departments, despite the existence of mechanisms that could in principle achieve that. This leaves a very important gap in evidence and means that decisions about public spending allocations are likely to miss opportunities to improve social welfare from existing budgets. Greater attention to the development of methods and evidence to better inform the allocation of public sector spending between departments is therefore urgently needed. We identify a number of possible approaches to this-some of which are being used in different countries-and highlight their strengths and weaknesses. We propose a new, pragmatic approach that incorporates a generic descriptive system to measure the disparate outcomes produced by public sector activities in a commensurate manner. Discrete-choice experiments could be used to generate evidence of the relative importance placed on different aspects of public sector outcomes by members of the general public. The proposed approach would produce evidence on value for money across departments, and the generation of evidence on public preferences to support that.

Indexed as

BudgetsPublic SectorHumansSocial WelfareUnited Kingdom

Identifiers

PMID34105080
PMCPMC8187139

What OpenQuestion holds

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LicenceCC BY-NC
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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.