Evidence map›Paper›PMID 30948582›Full record

Observational studyBMJ open2019

How universal are universal preschool health checks? An observational study using routine data from New Zealand's B4 School Check.

Sheree Gibb, Barry Milne, Nichola Shackleton, Barry J Taylor, Richard Audas

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Pacific oral health: a scoping review.Frontiers in oral health · 2025
    Review
  5. Article
  6. Parents' Participation in School Health Examinations for Their Adolescent Children in Finland.The Journal of school nursing : the official publication of the National Association of School Nurses · 2024
    Article
  7. Article
  8. Identifying neurodevelopmental disabilities from nationalised preschool health check.The Australian and New Zealand journal of psychiatry · 2023
    Article
  9. Review
  10. Use of Population-Level Administrative Data in Developmental Science.Annual review of developmental psychology · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. 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

5 authors at 2 institutions in 1 country.

Sheree GibbDepartment of Public Health, University of Otago Wellington, Wellington, New Zealand.ORCID 0000-0002-9708-8816
Barry MilneA Better Start National Science Challenge, Dunedin, New Zealand.
Nichola ShackletonA Better Start National Science Challenge, Dunedin, New Zealand.
Barry J TaylorA Better Start National Science Challenge, Dunedin, New Zealand.
Richard AudasA Better Start National Science Challenge, Dunedin, New Zealand.
University of Otago · NZUniversity of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe aimed to estimate how many children were attending a universal preschool health screen and to identify characteristics associated with non-participation.

designAnalysis of population-level linked administrative data.

participantsChildren were considered eligible for a B4 School Check for a given year if:(1) they were ever resident in New Zealand (NZ),(2) lived in NZ for at least 6 months during the reference year, (3) were alive at the end of the reference year, (4) either appeared in any hospital (including emergency) admissions, community pharmaceutical dispensing or general practitioner enrolment datasets during the reference year or (5) had a registered birth in NZ. We analysed 252 273 records over 4 years, from 1 July 2011 to 30 June 2015.

resultsWe found that participation rates varied for each component of the B4 School Check (in 2014/2015 91.8% for vision and hearing tests (VHTs), 87.2% for nurse checks (including height, weight, oral health, Strengths and Difficulties Questionnaire [SDQ] and parental evaluation of development status) and 62.1% for SDQ - Teacher [SDQ-T]), but participation rates for all components increased over time. Māori and Pacific children were less likely to complete the checks than non-Māori and non-Pacific children (for VHTs: Māori: OR=0.60[95% CI 0.61 to 0.58], Pacific: OR=0.58[95% CI 0.60 to 0.56], for nurse checks: Māori: OR=0.63[95% CI 0.64 to 0.61], Pacific: OR=0.67[95% CI 0.69 to0.65] and for SDQ-T: Māori: OR=0.76[95% CI 0.78 to 0.75], Pacific: OR=0.37[95% CI 0.38 to 0.36]). Children from socioeconomically deprived areas, with younger mothers, from rented homes, residing in larger households, with worse health status and with higher rates of residential mobility were less likely to participate in the B4 School Check than other children.

conclusionThe patterns of non-participation suggest a reinforcing of existing disparities, whereby the children most in need are not getting the services they potentially require. There needs to be an increased effort by public health organisations, community and whānau/family to ensure that all children are tested and screened.

Indexed as

Child WelfareAdolescentChildChild Health ServicesHealth Status DisparitiesHumansMaleNew ZealandPatient Acceptance of Health CareSchool Health Serviceschildhood interventiondata linkagehealthcare disparities

Identifiers

PMID30948582
PMCPMC6500230
OpenAlexW2928253780

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.