Evidence map›Paper›PMID 29162573›Full record

Observational studyBMJ open2017

Data quality and 30-day survival for out-of-hospital cardiac arrest in the UK out-of-hospital cardiac arrest registry: a data linkage study.

Sangeerthana Rajagopal, Scott J Booth, Terry P Brown, Chen Ji, Claire Hawkes, A Niroshan Siriwardena, Kim Kirby, Sarah Black, Robert Spaight, Imogen Gunson and 3 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.4field-weighted citation impact, top 10% of its field
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

8 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Database quality assessment in research in paramedicine: a scoping review.Scandinavian journal of trauma, resuscitation and emergency medicine · 2023
    Article
  5. Observational
  6. Article
  7. Article
  8. 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

13 authors at 5 institutions in 1 country.

Sangeerthana RajagopalWarwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, UK.
Scott J BoothWarwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, UK.
Terry P BrownWarwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, UK.
Chen JiWarwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, UK.
Claire HawkesWarwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, UK.
A Niroshan SiriwardenaSchool of Health and Social Care, University of Lincoln, Lincoln, UK.ORCID http://orcid.org/0000-0003-2484-8201
Kim KirbySouth Western Ambulance Service NHS Foundation Trust, Exeter, UK.
Sarah BlackSouth Western Ambulance Service NHS Foundation Trust, Exeter, UK.
Robert SpaightEast Midlands Ambulance Service NHS Trust, Nottingham, UK.
Imogen GunsonWest Midlands Ambulance Service NHS Foundation Trust, Brierley Hill, UK.
Samantha J Brace-McDonnellWarwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, UK.
Gavin D PerkinsWarwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, UK.
OHCAO collaborators
University of Warwick · GBHeart of England NHS Foundation Trust · GBEast Midlands Ambulance Service NHS Trust · GBSouth Western Ambulance Service NHS Foundation Trust · GBUniversity of Lincoln · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe Out-of-Hospital Cardiac Arrest Outcomes (OHCAO) project aims to understand the epidemiology and outcomes of out-of-hospital cardiac arrest (OHCA) across the UK. This data linkage study is a subproject of OHCAO. The aim was to establish the feasibility of linking OHCAO data to National Health Service (NHS) patient demographic data and Office for National Statistics (ONS) date of death data held on the NHS Personal Demographics Service (PDS) database to improve OHCAO demographic data quality and enable analysis of 30-day survival from OHCA. DESIGN AND

settingData were collected from 1 January 2014 to 31 December 2014 as part of a prospective, observational study of OHCA attended by 10 English NHS Ambulance Services. 28 729 OHCA cases had resuscitation attempted by Emergency Medical Services and were included in the study. Data linkage was carried out using a data linkage service provided by NHS Digital, a national provider of health-related data. To assess data linkage feasibility a random sample of 3120 cases was selected. The sample was securely transferred to NHS Digital to be matched using OHCAO patient demographic data to return previously missing demographic data and provide ONS date of death data.

resultsA total of 2513 (80.5%) OHCAO cases were matched to patients in the NHS PDS database. Using the linkage process, missing demographic data were retrieved for 1636 (72.7%) out of 2249 OHCAO cases that had previously incomplete demographic data. Returned ONS date of death data allowed analysis of 30-day survival status. The results showed a 30-day survival rate of 9.3%, reducing unknown survival status from 46.1% to 8.5%.

conclusionsIn this sample, data linkage between the OHCAO registry and NHS PDS database was shown to be feasible, improving demographic data quality and allowing analysis of 30-day survival status.

Indexed as

Data AccuracySurvival RateDatabases as TopicFeasibility StudiesHumansInformation Storage and RetrievalOut-of-Hospital Cardiac ArrestProspective StudiesRegistriesState MedicineUnited Kingdomcardiac arrestemergency medical servicesmedical record linkageout-of-hospital cardiac arrestresuscitation

Identifiers

PMID29162573
PMCPMC5719320
OpenAlexW2771020605

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.