Observational studyBMJ open2019
How universal are universal preschool health checks? An observational study using routine data from New Zealand's B4 School Check.
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.
What it found
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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.
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.
Who cites it
14 citing papers in PubMed, 22 citations in OpenAlex.
- Recognizing Growth Concerns in 1- to 5-Year-Olds: A Practical Algorithm for Screening and Early Intervention in Primary Care.Children (Basel, Switzerland) · 2026Article
- Data resource profile: education and health data in New Zealand's Integrated Data Infrastructure.International journal of population data science · 2026Article
- A scoping review of ear and hearing health research in Aotearoa New Zealand: a focus on equity.Journal of the Royal Society of New Zealand · 2025Review
- Pacific oral health: a scoping review.Frontiers in oral health · 2025Review
- Vision impairment and differential access to eye health services in Aotearoa New Zealand: a scoping review.BMJ public health · 2024Article
- 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 · 2024Article
- Article
- Identifying neurodevelopmental disabilities from nationalised preschool health check.The Australian and New Zealand journal of psychiatry · 2023Article
- A better start national science challenge: supporting the future wellbeing of our tamariki E tipu, e rea, mō ngā rā o tō ao: grow tender shoot for the days destined for you.Journal of the Royal Society of New Zealand · 2023Review
- Use of Population-Level Administrative Data in Developmental Science.Annual review of developmental psychology · 2022Article
- Consequences of barriers to primary health care for children in Aotearoa New Zealand.SSM - population health · 2022Article
- Parental mental illness, attendance at preventive child healthcare and dental caries in the offspring: a nation-wide population-based cohort study.Social psychiatry and psychiatric epidemiology · 2021Article
- Implementation of the norwegian 'Starting right' child health service innovation: implementation adjustments, adoption, and acceptability.BMC health services research · 2021Article
- Decomposing ethnic differences in body mass index and obesity rates among New Zealand pre-schoolers.International journal of obesity (2005) · 2019Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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