Evidence map›Paper›PMID 41701714›Full record

ArticlePloS one2026

Improving access to free school meals: Evaluating the implementation of free school meal auto-enrolment processes.

Rob Oxley, Sundus Mahdi, Louise Padgett, Patience Gansallo, Myles Bremner, Cressida Pidgeon, Annie Connolly, Kate E Pickett, Bob Doherty, Maria Bryant

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Key action areas for transforming the UK food system: insights from the Transforming UK Food Systems (TUKFS) Programme project portfolio.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
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

10 authors.

Rob OxleyDepartment of Health Sciences, University of York, York, United Kingdom.ORCID https://orcid.org/0009-0008-3414-8106
Sundus MahdiDepartment of Health Sciences, University of York, York, United Kingdom.
Louise PadgettDepartment of Health Sciences, University of York, York, United Kingdom.
Patience GansalloDepartment of Health Sciences, University of York, York, United Kingdom.
Myles BremnerBremner & Co, Kineton, Warks, United Kingdom.
Cressida PidgeonBremner & Co, Kineton, Warks, United Kingdom.
Annie ConnollyThe Trussell Trust, Salisbury, Wiltshire, United Kingdom.
Kate E PickettDepartment of Health Sciences, University of York, York, United Kingdom.
Bob DohertySchool for Business and Society, University of York, York, United Kingdom.
Maria BryantDepartment of Health Sciences, University of York, York, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To receive benefits-related free school meals in England, households must currently have an annual household income of less than £7,400 (before any benefits-related income), and parents must submit an application. However, data estimates that ~11% do not apply. This equates to about 215,000 children who could, but do not, receive meals they are entitled to. As schools receive pupil premium funding based on these free school meal allocations, under registrations can impact children, families and the support that schools can offer. Free school meal auto-enrolment is a term to describe the processes by which local governments use welfare datasets to identify and register entitled children, allowing parents an opportunity to opt out should they wish. This process can increase registration uptake, though the current evidence regarding free school meal auto-enrolment is limited. This study aimed to explore factors that influence the successful implementation of free school meal auto-enrolment from a local government perspective. Qualitative data were collected through semi-structured interviews with local government authority representatives and national stakeholders (n = 20) across England, supported by documentary analysis (n = 142 relevant documents). Data were analysed deductively according to the Context and Implementation of Complex Interventions framework. Results revealed there was variation in how local governments undertook and experienced auto-enrolment processes, based on the degree to which it was prioritised, available resources and encountered barriers. Multiple barriers to implementation were described, including capacity, data access and resistance regarding data sharing legalities from information governance colleagues. While barriers could be overcome with adequate leadership support, funding and capacity, the reliance on these conditions may lead to inconsistent auto-enrolment delivery and a lottery in free school meal access across the country.

Indexed as

Food ServicesMealsSchoolsChildEnglandHumans

Identifiers

PMID41701714
PMCPMC12912541

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.