Evidence map›Paper›PMID 35719716›Full record

ArticleInternational journal of population data science2022

Data resource: Children receiving care and support and children in need, administrative records in Wales.

Alexandra Lee, Martin Elliott, Jonathan Scourfield, Stuart Bedston, Karen Broadhust, David V Ford, Lucy J Griffiths

Abstract read
In one paragraph

Article in International journal of population data science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Antecedents and outcomes of a later attention-deficit hyperactivity disorder (ADHD) diagnosis in females.The British journal of psychiatry : the journal of mental science · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Data resource profile: children looked after administrative records in Wales.International journal of population data science · 2022
    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

7 authors.

Alexandra LeePopulation Data Science, Swansea University Medical School, Swansea, SA2 8PP, UK.
Martin ElliottCASCADE, School of Social Sciences, Cardiff University, 1-3 Museum Place, Cardiff, CF10 3BD, UK.
Jonathan ScourfieldCASCADE, School of Social Sciences, Cardiff University, 1-3 Museum Place, Cardiff, CF10 3BD, UK.
Stuart BedstonPopulation Data Science, Swansea University Medical School, Swansea, SA2 8PP, UK.
Karen BroadhustCentre for Child and Family Justice Research, Dept of Sociology, Lancaster University, Lancaster, LA1 4YN, UK.
David V FordPopulation Data Science, Swansea University Medical School, Swansea, SA2 8PP, UK.
Lucy J GriffithsPopulation Data Science, Swansea University Medical School, Swansea, SA2 8PP, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In Wales, the Children in Need (CIN) dataset includes information relating to needs of children and social care support. Before the Social Services and Well-being (Wales) Act 2014 came into force in April 2016, this data collection was named the Children in Need census, changing to Children Receiving Care and Support (CRCS) after this date to reflect better the children eligible for inclusion. This paper describes these datasets, their potential for research and their limitations. We describe data that researchers can access via the Secure Anonymised Information Linkage (SAIL) Databank and exploratory linkages made to health records. Methods: CIN and CRCS data were transferred to the SAIL Databank using a standardised approach to provide de-identified data with Anonymised Linking Fields (ALF) for successfully matched records. The linkage method relies on the use of Unique Pupil Numbers (UPN). As such, no records are currently available for children without a UPN, which includes most under age three. ALFs enabled linkage to individual-level health data within SAIL. Health service use was compared to non-CIN/CRCS populations. Results: CRCS data held within the SAIL Databank comprises 25,972 records, 81% of the total number of records reported by the Welsh Government. The CIN data contains 108,449 records, 79% of the Welsh Government's records for this data collection. Health service use of children in need, and children receiving care and support, was roughly equal to that of the non-CIN/CRCS population, except GP visits, where children in need had fewer consultations, and children receiving care and support had more consultations than the comparison population. Conclusion: Researchers can access Welsh CIN and CRCS datasets through the SAIL Databank, enabling research opportunities. Work is ongoing to improve records and to understand better the health and health service use among children captured by CIN and CRCS censuses.

Indexed as

CensusesResearch DesignChildDatabases, FactualData CollectionHumansWalesadministrative datachildrendata linkagesocial care

Identifiers

PMID35719716
PMCPMC9152699

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.