Risk factors for non-participation in a universal developmental surveillance program in a population in Australia.

Objectives: This study examined the risk factors for non-participation in a developmental surveillance program in a population in south-west Sydney with a high proportion of culturally diverse and socioeconomically disadvantaged people. Methods: Data from 850 and 625 12- and 18-month-old children re...

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Published in:Australian Health Review Vol. 44; no. 4; pp. 512 - 521
Main Authors: Ayer, Chandra, Eapen, Valsamma, Overs, Bronwyn, Descallar, Joseph, Jalaludin, Bin, Eastwood, John Graeme, Dissanayake, Cheryl, Williams, Katrina, Murphy, Elisabeth, Woolfenden, Susan
Format: research tables/charts Journal Article
Published: CSIRO Publishing 2020
Online Access:View this record in EBSCOhost
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      dt: 2020
      vid: 44
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      pub: CSIRO Publishing
      place: Canberra ACT, <Blank>
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        10.1071/AH18236
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        atl: Risk factors for non-participation in a universal developmental surveillance program in a population in Australia.
      aug:
        au:
          Ayer, Chandra
          Eapen, Valsamma
          Overs, Bronwyn
          Descallar, Joseph
          Jalaludin, Bin
          Eastwood, John Graeme
          Dissanayake, Cheryl
          Williams, Katrina
          Murphy, Elisabeth
          Woolfenden, Susan
        affil: Royal Far West, PO Box 52, Manly, NSW 1655, Australia.
      sug:
        subj:
          Risk Assessment
          Patient Compliance
          Infant Development Disorders Risk Factors
          Universal Health Care
          Disease Surveillance New South Wales
          Socioeconomic Factors
          Cultural Diversity
          Human
          New South Wales
          Infant
          Preventive Health Care
          Questionnaires
          Medical Records, Personal
          Sex Factors
          Odds Ratio
          Confidence Intervals
          Economic Status
          Prospective Studies
          Parents
          Self Report
          Multiple Logistic Regression
          Models, Statistical
          Data Analysis Software
          Mothers
          Fathers
          Male
          Female
          Residence Characteristics
          Funding Source
          Infant: 1-23 months
          Male
          Female
      ab: Objectives: This study examined the risk factors for non-participation in a developmental surveillance program in a population in south-west Sydney with a high proportion of culturally diverse and socioeconomically disadvantaged people. Methods: Data from 850 and 625 12- and 18-month-old children respectively from the Watch Me Grow (WMG) birth cohort were used for this study. Logistic regression models were used to assess risk factors for 12- and 18-month non-attendance at Well Child Visits, as well as non-completion of the developmental surveillance questionnaire Parents' Evaluation of Developmental Status (PEDS) in the child's personal health record (PHR). Results: Independent risk factors for non-attendance at Well Child Visits were female sex of the child (odds ratio (OR) 12 months 1.5; 95% confidence interval (CI) 1.0–2.3), mother's country of birth Australia (OR 18 months 1.8; 95% CI 1.2–2.7), annual household income less than A$25 001 (OR 12 months 1.8; 95% CI 1.0–3.2) and residing in a socioeconomically disadvantaged neighbourhood (OR 12 months 1.7; 95% CI 1.1–2.5). Independent risk factors for non-completion of PEDS in those who did not attend the Well Child Visit compared with those who did attend and did complete PEDS were household annual income at birth less than A$25 001 (OR 12 months 3.9; 95% CI 1.9–8.1) and residing in a socioeconomically disadvantaged neighbourhood (OR 12 months 2.1 (95% CI 1.2–3.7) and OR 18 months 2.0 (95% CI 1.2–3.6)). Conclusions: In this population, children exposed to socioeconomic disadvantage are less likely to have attended a Well Child Visit and to have a completed PEDS in their PHR at 12 and/or 18 months of age. What is known about the topic?: Developmental problems are common in early childhood, and children from socioeconomically disadvantaged households are at higher risk. Universal developmental surveillance programs may be effective at early identification of children at risk of developmental problems. Early childhood interventions, when accessed, can lessen the effects of developmental problems in later years. What does this paper add?: This paper highlights that children exposed to socioeconomic disadvantage in early childhood who are at higher risk of having developmental problems are also at higher risk of missing out on early identification by non-participation in universal developmental surveillance. What are the implications for practitioners?: A more equitable model of developmental surveillance should include a framework of proportionate universalism to ensure optimal engagement of high-risk population groups.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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