Evidence map›Paper›PMID 25612149›Full record

Observational studyNPJ primary care respiratory medicine2015

Birth data accessibility via primary care health records to classify health status in a multi-ethnic population of children: an observational study.

Rachel Bonner, Vassiliki Bountziouka, Janet Stocks, Seeromanie Harding, Angela Wade, Chris Griffiths, David Sears, Helen Fothergill, Hannah Slevin, Sooky Lum

Abstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in NPJ primary care respiratory medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

10 authors.

Rachel BonnerRespiratory, Critical Care & Anaesthesia Section (Portex Unit), UCL, Institute of Child Health, London, UK.
Vassiliki BountzioukaRespiratory, Critical Care & Anaesthesia Section (Portex Unit), UCL, Institute of Child Health, London, UK.
Janet StocksRespiratory, Critical Care & Anaesthesia Section (Portex Unit), UCL, Institute of Child Health, London, UK.
Seeromanie HardingMRC/CSO, Social and Public Health Sciences Unit, University of Glasgow, 4 Lilybank Gardens, Glasgow, UK.
Angela WadeClinical Epidemiology, Nutrition and Biostatistics Section, UCL, Institute of Child Health, London, UK.
Chris GriffithsCentre for Primary Care and Public Health, Blizard Institute, Queen Mary University of London, London, UK.
David Sears1] Respiratory, Critical Care & Anaesthesia Section (Portex Unit), UCL, Institute of Child Health, London, UK [2] Lung Function Unit, Royal Brompton Hospital, London, UK.
Helen Fothergill1] Respiratory, Critical Care & Anaesthesia Section (Portex Unit), UCL, Institute of Child Health, London, UK [2] Torbay Hospital, South Devon NHS Trust, Torquay, Devon, UK.
Hannah Slevin1] Respiratory, Critical Care & Anaesthesia Section (Portex Unit), UCL, Institute of Child Health, London, UK [2] Faculty of Medicine, University of Southampton, Southampton, UK.
Sooky LumRespiratory, Critical Care & Anaesthesia Section (Portex Unit), UCL, Institute of Child Health, London, UK.

Funding

Medical Research Council MC_EX_G0701943Medical Research Council MC_U130015185Medical Research Council MC_UU_12017/1Wellcome Trust 094129Wellcome Trust WT094129MA
6 · The paper itself

Abstract

backgroundAccess to reliable birth data (birthweight (BW) and gestational age (GA)) is essential for the identification of individuals who are at subsequent health risk.

aimsThis study aimed to explore the feasibility of retrospectively collecting birth data for schoolchildren from parental questionnaires (PQ) and general practitioners (GPs) in primary care clinics, in inner city neighbourhoods with high density of ethnic minority and disadvantaged populations.

methodsAttempts were made to obtain birth data from parents and GPs for 2,171 London primary schoolchildren (34% White, 29% Black African origin, 25% South Asians, 12% Other) as part of a larger study of respiratory health.

resultsInformation on BW and/or GA were obtained from parents for 2,052 (95%) children. Almost all parents (2,045) gave consent to access their children's health records held by GPs. On the basis of parental information, GPs of 1,785 children were successfully contacted, and GPs of 1,202 children responded. Birth data were retrieved for only 482 children (22% of 2,052). Missing birth data from GPs were associated with non-white ethnicity, non-UK born, English not the dominant language at home or socioeconomic disadvantage. Paired data were available in 376 children for BW and in 407 children for GA. No significant difference in BW or GA was observed between PQ and GP data, with <5% difference between sources regardless of normal or low birth weight, or term or preterm status.

conclusionsParental recall of birth data for primary schoolchildren yields high quality and rapid return of data, and it should be considered as a viable alternative in which there is limited access to birth records. It provides the potential to include children with an increased risk of health problems within epidemiological studies.

Indexed as

Birth CertificatesMedical RecordsMental RecallBirth WeightChildChild, PreschoolEthnicityFemaleGestational AgeHealth StatusHumansMaleMedical ReceptionistsParentsPrimary Health CareSurveys and Questionnaires

Identifiers

PMID25612149
PMCPMC4353844

What OpenQuestion holds

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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.