Evidence map›Paper›PMID 36175095›Full record

ArticleBMJ open2022

Local area public sector spending and nutritional anaemia hospital admissions in England: a longitudinal ecological study.

Rosemary Jenkins, Eszter P Vamos, Kate E Mason, Konstantinos Daras, David Taylor-Robinson, Clare Bambra, Christopher Millett, Anthony A Laverty

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 3 institutions in 2 countries.

Rosemary JenkinsPublic Health Policy Evaluation Unit, School of Public Health, Imperial College London, Charing Cross Campus; The Reynolds Building; St Dunstan's Road, London W6 8RP, UK.ORCID 0000-0003-4600-2258
Eszter P VamosPublic Health Policy Evaluation Unit, School of Public Health, Imperial College London, Charing Cross Campus; The Reynolds Building; St Dunstan's Road, London W6 8RP, UK.
Kate E MasonDepartment of Public Health, Policy and Systems, Institute of Population Health, University of Liverpool; Waterhouse Building Block F, 2nd Floor, Liverpool L69 3BX, UK.ORCID 0000-0001-5020-5256
Konstantinos DarasDepartment of Public Health, Policy and Systems, Institute of Population Health, University of Liverpool; Waterhouse Building Block F, 2nd Floor, Liverpool L69 3BX, UK.ORCID 0000-0002-4573-4628
David Taylor-RobinsonDepartment of Public Health, Policy and Systems, Institute of Population Health, University of Liverpool; Waterhouse Building Block F, 2nd Floor, Liverpool L69 3BX, UK.
Clare BambraPopulation Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, NE1 4LE, UK.
Christopher MillettPublic Health Policy Evaluation Unit, School of Public Health, Imperial College London, Charing Cross Campus; The Reynolds Building; St Dunstan's Road, London W6 8RP, UK.
Anthony A LavertyPublic Health Policy Evaluation Unit, School of Public Health, Imperial College London, Charing Cross Campus; The Reynolds Building; St Dunstan's Road, London W6 8RP, UK a.laverty@imperial.ac.uk.ORCID 0000-0003-1318-8439
Charing Cross Hospital · GBUniversity of Liverpool · GBNewcastle University · GB

Funding

Department of HealthMedical Research Council MR/K02325X/1Medical Research Council MR/P008577/1
6 · The paper itself

Abstract

introductionReductions in local government spending may have impacts on diets and health which increase the risk of hospital admissions for nutritional anaemias. Mechanisms include potential impacts of changes to local authority (LA) services (eg, housing services) on personal resources and food access, availability and provision. We therefore investigated the association between changes in LA spending and nutritional anaemia-related hospital admissions. Specifically, we address whether greater cuts to LA spending were linked to increased hospital admissions for nutritional anaemias.

designLongitudinal analysis of LA panel data using Poisson fixed effects regression models.

setting312 LAs in England (2005-2018). MAIN EXPOSURE: Total LA service expenditure per capita per year. MAIN OUTCOME: Principal and total nutritional anaemia hospital admissions, for all ages and stratified by age (0-14, 15-64, 65+ years).

resultsLA service expenditure increased by 9% between 2005 and 2009 then decreased by 20% between 2010 and 2018. Total nutritional anaemia hospital admissions increased between 2005 and 2018 from 173 to 633 admissions per 100 000 population. A £100 higher LA service spending was associated with a 1.9% decrease in total nutritional anaemia hospital admissions (adjusted incidence rate ratio (aIRR): 0.98, 95% CI: 0.96 to 0.99). When stratified by age, this was seen only in adults. A £100 higher LA service spending was associated with a 2.6% decrease in total nutritional anaemia hospital admissions in the most deprived LAs (aIRR: 0.97, 95% CI: 0.95 to 1.0).

conclusionIncreased LA spending was associated with reduced hospital admissions for nutritional anaemia. Austerity-related reductions had the opposite effect, increasing admissions, with greater impacts in more deprived areas. This adds further evidence to the potential negative impacts of austerity policies on health and health inequalities. Among other impacts, re-investing in LA services may prevent hospital admissions associated with nutritional anaemias.

Indexed as

AnemiaPublic SectorAdultEnglandHospitalizationHospitalsHumansInfant, NewbornHealth policyPUBLIC HEALTHSOCIAL MEDICINE

Identifiers

PMID36175095
PMCPMC9528630
OpenAlexW4298008665

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.