Evidence map›Paper›PMID 27694678›Full record

ArticleInternational journal of health policy and management2016

UK and Twenty Comparable Countries GDP-Expenditure-on-Health 1980-2013: The Historic and Continued Low Priority of UK Health-Related Expenditure.

Andrew J E Harding, Colin Pritchard

Abstract read
In one paragraph

Article in International journal of health policy and management, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Mortality in the USA, the UK and Other Western Countries, 1989-2015: What Is Wrong With the US?International journal of health services : planning, administration, evaluation · 2021
    Article
  4. Article
  5. Article
  6. 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

2 authors.

Andrew J E HardingFaculty of Health & Social Sciences, Bournemouth University, Dorset, UK.
Colin PritchardFaculty of Health & Social Sciences, Bournemouth University, Dorset, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is well-established that for a considerable period the United Kingdom has spent proportionally less of its gross domestic product (GDP) on health-related services than almost any other comparable country. Average European spending on health (as a % of GDP) in the period 1980 to 2013 has been 19% higher than the United Kingdom, indicating that comparable countries give far greater fiscal priority to its health services, irrespective of its actual fiscal value or configuration. While the UK National Health Service (NHS) is a comparatively lean healthcare system, it is often regarded to be at a 'crisis' point on account of low levels of funding. Indeed, many state that currently the NHS has a sizeable funding gap, in part due to its recently reduced GDP devoted to health but mainly the challenges around increases in longevity, expectation and new medical costs. The right level of health funding is a political value judgement. As the data in this paper outline, if the UK 'afforded' the same proportional level of funding as the mean average European country, total expenditure would currently increase by one-fifth.

Indexed as

Developed CountriesEuropeGross Domestic ProductHealth ExpendituresHumansPoliticsState MedicineUnited KingdomHealthcare ExpenditureInternational Comparison.UK gross domestic product (GDP)

Identifiers

PMID27694678
PMCPMC5010654

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.