Evidence map›Paper›PMID 39654833›Full record

ArticleInternational journal of population data science2024

Can administrative data be used to research health visiting in England? A completeness assessment of the Community Services Dataset.

Amanda Clery, Catherine Bunting, Mengyun Liu, Katie Harron, Jenny Woodman, Louise Mc Grath-Lone

Abstract read
In one paragraph

Article in International journal of population data science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

6 authors.

Amanda CleryUCL Great Ormond Street Institute of Child Health, University College London, London, WC1N 1EH.
Catherine BuntingUCL Great Ormond Street Institute of Child Health, University College London, London, WC1N 1EH.
Mengyun LiuUCL Great Ormond Street Institute of Child Health, University College London, London, WC1N 1EH.
Katie HarronUCL Great Ormond Street Institute of Child Health, University College London, London, WC1N 1EH.
Jenny WoodmanThomas Coram Research Unit, Social Research Institute, University College London, London, WC1H 0AA.
Louise Mc Grath-LoneThomas Coram Research Unit, Social Research Institute, University College London, London, WC1H 0AA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Health visiting is a community service provided to families with children under five in England and is a key focus of early years policy. Individual-level data on health visiting is captured in the Community Services Data Set (CSDS), an administrative dataset of publicly funded community services across England. Analyses of CSDS are considered experimental as the dataset matures. Objectives: In this study, we aimed to identify health visiting contacts in the CSDS and assess the completeness of these data from 2016/17 to 2019/20 compared to external reference data. Methods: We identified the number of the four mandated postnatal health visiting contacts delivered, excluding those scheduled but not attended, between April 2016 and March 2020. We compared counts by local authority (LA) and financial quarter against the Office for Health Improvement and Disparities' Health Visitor Service Delivery Metrics (HVSDM) to identify a subnational subset of complete CSDS data. We explored the representativeness of this subset. Results: During the study period, 10.2 million health visiting contacts were delivered to 2.4 million children in England. Of these, we identified 3.9 million mandated contacts based on CSDS codes and age at time of contact, which represented 44.7% of all mandated contacts reported in the HVSDM for the same period. There were 63 LAs with complete CSDS data in at least one quarter, which were broadly representative of English LAs overall. Variables related to staff characteristics were highly missing and only 13 LAs had four or more successive quarters of complete data needed for longitudinal, child-level analyses. Conclusions: We identified a subnational subset of complete CSDS data, compared to external reference data, which can be used for health visiting research. Until improvements are made to its completeness, analyses (particularly those requiring longitudinal data) may not be generalisable to the whole child population.

Indexed as

Community Health ServicesChild, PreschoolDatasets as TopicEnglandFemaleHumansInfantadministrative dataCommunity Services Data Setdata completenessdata representativenesshealth visiting

Identifiers

PMID39654833
PMCPMC11626512

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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.