Evidence map›Paper›PMID 42327976›Full record

ArticleInternational journal of population data science2023

Sussex Integrated Dataset (SID) Data Resource Profile.

Elizabeth Ford, Jon Elsom, Paul Molyneux, David Crees, Yemisi Bakare, Dan Hughes

Abstract read
In one paragraph

Article in International journal of population data science, 2023. 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

6 authors.

Elizabeth FordDepartment of Primary Care and Public Health, Brighton and Sussex Medical School, Watson Building, Village Way, Falmer, Brighton, BN1 9PH.
Jon ElsomEast Sussex Healthcare NHS Trust, Conquest Hospital, The Ridge, St Leonards-on-Sea, East Sussex TN37 7RD.
Paul MolyneuxGRIP Analytics 3rd Floor 86 - 90 Paul Street, London, United Kingdom, EC2A 4NE.
David CreesEast Sussex Healthcare NHS Trust, Conquest Hospital, The Ridge, St Leonards-on-Sea, East Sussex TN37 7RD.
Yemisi BakareEast Sussex Healthcare NHS Trust, Conquest Hospital, The Ridge, St Leonards-on-Sea, East Sussex TN37 7RD.
Dan HughesNHS Sussex, Sackville House, Brooks Close, Lewes, East Sussex, BN7 2FZ.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents a data resource profile of the Sussex Integrated Dataset (SID). SID is a linked dataset of National Health Service (NHS) and adult social care data from across the geographical footprint of Sussex, in coastal Southeast England, and represents around 1.7 million patients. Living in a predominantly rural and coastal area, the population has more elderly people than the national average and is characterised by large differences in deprivation levels particularly in coastal towns. The city of Brighton and Hove has a large LGBTQ+ population and the largest cohort of people living with HIV outside of London. First linked in 2019, the dataset contains contributions from all NHS providers across East and West Sussex and the city of Brighton and Hove, including routinely collected data from all Sussex hospital trusts, general practitioners (up to 100% coverage), community and mental health trusts, ambulance data and local authority social care services. Most data sources provide information from 2017, with general practice data going back up to 20 years. Data quality is carefully monitored, demographics are harmonised within a "demographic milestones" table, and patient cohorts living with common long-term conditions are curated using a "semantic layer". Already used widely within NHS Sussex and by Local Authorities for public health, service evaluation, monitoring and planning, the SID is available more widely to use for research and innovation through the NHS Secure Data Environment Network.

Indexed as

Databases, FactualState MedicineAdultAgedEnglandFemaleHumansMaleMiddle Agedhealth datalinked datapopulation health managementpublic healthroutinely collected dataservice evaluation

Identifiers

PMID42327976
PMCPMC13277504

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.