Evidence map›Paper›PMID 41667290›Full record

ArticleBMJ mental health2026

Health economics analysis of restrictive school smartphone policies in secondary schools in England (SMART Schools).

Samuel J Perry, Victoria A Goodyear, Miranda Pallan, Peymane Adab, Sally Fenton, Maria Michail, Paul Patterson, Amie Randhawa, Alice J Sitch, Matthew Wade and 1 more

Abstract read
In one paragraph

Article in BMJ mental health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Samuel J PerryHealth Economics Unit, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, UK.ORCID http://orcid.org/0000-0002-6098-4369
Victoria A GoodyearSchool of Sport, Exercise and Rehabilitation Sciences, College of Life and Environmental Sciences, University of Birmingham, Birmingham, UK v.a.goodyear@bham.ac.uk.ORCID http://orcid.org/0000-0001-5045-8157
Miranda PallanDepartment of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, UK.ORCID http://orcid.org/0000-0002-2868-4892
Peymane AdabDepartment of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, UK.ORCID http://orcid.org/0000-0001-9087-3945
Sally FentonSchool of Sport, Exercise and Rehabilitation Sciences, College of Life and Environmental Sciences, University of Birmingham, Birmingham, UK.ORCID http://orcid.org/0000-0002-3732-1348
Maria MichailInstitute for Mental Health, University of Birmingham, Birmingham, UK.ORCID http://orcid.org/0000-0001-7380-3494
Paul PattersonBirmingham and Solihull Mental Health NHS Foundation Trust (BSMHFT), Birmingham, UK.ORCID http://orcid.org/0000-0003-3310-8635
Amie RandhawaSchool of Sport, Exercise and Rehabilitation Sciences, College of Life and Environmental Sciences, University of Birmingham, Birmingham, UK.ORCID http://orcid.org/0000-0002-3770-2028
Alice J SitchDepartment of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, UK.
Matthew Wadeukactive Research Institute, London, UK.ORCID http://orcid.org/0000-0002-9217-1493
Hareth Al-JanabiHealth Economics Unit, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, UK.ORCID http://orcid.org/0000-0002-3691-8310

Funding

NIHR National Institute of Health and Care Research NIHR 131396
6 · The paper itself

Abstract

backgroundMany countries have introduced restrictive smartphone policies in schools, aiming to improve adolescent health and educational outcomes. However, whether these policies represent value for money to schools remains unclear.

objectiveThe aim of this study was to estimate the costs and quality of life and mental well-being outcomes associated with restrictive and permissive phone policies in secondary schools in England, and conduct an economic evaluation to determine whether restrictive phone policies are cost effective for schools.

methodsA cost-utility analysis was conducted as part of a cross-sectional study on school smartphone policies in England (SMART Schools), comparing schools with restrictive (recreational phone use not permitted) and permissive (recreational phone use permitted) policies. Outcomes were valued using quality-adjusted life years (QALYs) and mental well-being adjusted life years (MWALYs). Costs were estimated from the school's perspective and comprised staff time spent on policy implementation. Mixed effects and linear regression models were used to estimate incremental differences in outcomes and per pupil costs.

findings815 pupils (aged 12-15) from 20 schools (13 restrictive, 7 permissive) were included in a complete case analysis. Differences between restrictive and permissive schools in incremental QALYs (0.009, 95% CI -0.014 to 0.032) and MWALYs (-0.004, 95% CI -0.044 to 0.036) were minimal. Time implementing and enforcing policies was equivalent to 3.1 FTE staff in restrictive and 3.3 FTE staff in permissive schools. The incremental difference in per pupil school year cost was -£94 (95% CI -£229 to £41). The cost-effectiveness acceptability curve indicated a 90% probability of restrictive policies being cost effective at a threshold of £20 000 and £30 000 per QALY.

conclusionsRestrictive school policies were associated with minimal differences in quality of life or mental well-being of pupils. However, they may offer some cost savings to schools by reducing staff time spent managing phone-related activities. CLINICAL IMPLICATIONS: School policies and practices require development to address the significant amount of time teachers spend managing phone use.

Indexed as

Organizational PolicySchoolsSmartphoneAdolescentChildCost-Benefit AnalysisCost-Effectiveness AnalysisCross-Sectional StudiesEnglandFemaleHumansMaleQuality-Adjusted Life YearsQuality of LifeMental Health

Identifiers

PMID41667290
PMCPMC12911762

What OpenQuestion holds

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LicenceCC BY
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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.