Evidence map›Paper›PMID 38215072›Full record

ArticlePloS one2024

The impact of the newly developed school-based 'Digital Health Contact'-Evaluating a health and wellbeing screening tool for adolescents in England.

Alice Porter, Katrina d'Apice, Patricia Albers, Nicholas Woodrow, Hannah Fairbrother, Katie Breheny, Clare Mills, Sarah Tebbett, Frank De Vocht

Abstract read
In one paragraph

Article in PloS one, 2024. 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
–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

2 citing papers in PubMed.

  1. Mood Monitoring in Schools: A Promising Alternative to Single-Time-Point Screening.International journal of environmental research and public health · 2026
    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

9 authors.

Alice PorterPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0001-5281-7694
Katrina d'ApicePopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
Patricia AlbersPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0001-5710-8483
Nicholas WoodrowSchool of Health and Related Research (ScHARR), University of Sheffield, Sheffield, United Kingdom.
Hannah FairbrotherHealth Sciences School, University of Sheffield, Sheffield, United Kingdom.
Katie BrehenyPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
Clare MillsPublic Health, Leicester City Council, Leicester, United Kingdom.
Sarah TebbettLeicestershire Partnership NHS Trust, Leicester, United Kingdom.
Frank De VochtPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSupporting adolescents with their health and wellbeing is an international public health priority. Schools are well placed to universally detect unmet health needs and support pupils. This study aimed to evaluate the effectiveness of a digital health and wellbeing screening tool, called the 'Digital Health Contact' (DHC) implemented in schools in the East Midlands of England. The DHC, delivered by Public Health Nurses (School Nurses) (PHN(SN)), aims to identify pupils with unmet health needs (via a 'red flag' system) and provide appropriate support. MATERIALS AND

methodsUsing data from 22 schools which took part in the DHC and 14 schools which did not take part, across three academic years (2018-2020), we conducted a controlled interrupted timeseries analysis with negative binomial regression to explore the effect of the DHC on the number of annual referrals to PHN(SN). Using DHC data from 164 pupils, we further conducted a Difference-in-Difference analysis to explore the impact of 'red flag' and referral via the DHC in Year 9 (age 13-14) on the number of red flags in Year 11 (age 15-16).

resultsAcross all schools, the mean annual number of referrals increased over the three year follow-up period. In the adjusted model, the number of referrals was comparable between schools taking part in the DHC and non-participating schools (0.15 referrals [95% CI -0.21, 0.50]). Red flag score was not significantly different among Year 11 pupils, after being referred via the DHC in Year 9 (-0.36 red flags [95% CI -0.97, 0.24]). DISCUSSION: The DHC, and similar screening tools, have the potential to raise awareness of the health and wellbeing support in schools and provide an additional pathway of referral to this support for pupils with unmet health needs, without replacing the traditional pathway where pupils refer themselves or are referred by teachers.

Indexed as

Digital HealthAdolescentEnglandHumans

Identifiers

PMID38215072
PMCPMC10786370

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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.