Skip to main content

Advertisement

Log in

Online child and adolescent mental health surveys can be good enough

  • Original Paper
  • Published:
Social Psychiatry and Psychiatric Epidemiology Aims and scope Submit manuscript

Abstract

Purpose

To assess the value and practicability of online child mental health surveys.

Methods

Study 1 followed up an existing low-risk sample from the general population. Study 2 recruited a new high-risk sample via a parents’ organization for children with a neurological condition. Both studies invited parents of 2–17 year olds to complete the online development and well-being assessment. Pre-existing data on the Study 1 sample made it possible to examine selective participation.

Results

Response rates were low (20 % for Study 1, 8 % for Study 2). Participation in Study 1 was lower for parents who rented rather than owned their home, for non-traditional families, for parents living in more deprived areas, and for Asian families. Nevertheless, studies 1 and 2 generally replicated the findings of previous interviewer-based surveys with higher response rates.

Conclusions

Online surveys can be quick and easy to carry out and can potentially generate good enough data for service planning and other purposes despite low response rates, selective participation and missing data. Web-based assessments are a useful addition to the researcher’s toolbox, but they do not render the other tools redundant.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

References

  1. Heiervang E, Goodman R (2011) Advantages and limitations of web-based surveys: evidence from a child mental health survey. Soc Psychiatry Psychiatr Epidemiol 46:69–76

    Article  PubMed  Google Scholar 

  2. Freeman C, Tyrer P (1989) Reseach methods in psychiatry: a beginner’s guide. Royal College of Psychiatrists, Gaskell

    Google Scholar 

  3. Galea S, Tracy M (2007) Participation rates in epidemiologic studies. Ann Epidemiol 17:643–653

    Article  PubMed  Google Scholar 

  4. Morton SMB, Bandara DK, Robinson EM, Atatoa Carr PE (2012) In the 21st century, what is an acceptable response rate? Aust N Z J Public Health 36:106–108

    Article  PubMed  Google Scholar 

  5. Lundberg I, Damström Thakker K, Hällström T, Forsell Y (2005) Determinants of non-participation, and the effects of non-participation on potential cause-effect relationships, in the PART study on mental disorders. Soc Psychiatry Psychiatr Epidemiol 40:475–483

    Article  PubMed  Google Scholar 

  6. Sanders D, Clarke HD, Stewart MC, Whiteley P (2007) Does mode matter for modeling political choice? Evidence from the AC2005 British election study. Polit Anal 15:257–285

    Article  Google Scholar 

  7. Wolke D, Waylen A, Samara M, Steer C, Goodman R, Ford T, Lamberts K (2009) Does selective dropout in longitudinal studies lead to biased prediction of behaviour disorders? Br J Psychiatry 195:249–256

    Article  PubMed  Google Scholar 

  8. Ford T, Goodman R, Meltzer H (2003) The British child and adolescent mental health survey 1999: the prevalence of DSM-IV disorders. J Am Acad Child Adolesc Psychiatry 42:1203–1211

    Article  PubMed  Google Scholar 

  9. Green H, McGinnity A, Meltzer H, Ford T, Goodman R (2005) Mental health of children and young people in Great Britain, 2004. Palgrave Macmillan, Basingstoke

    Google Scholar 

  10. Goodman R (1997) The strengths and difficulties questionnaire: a research note. J Child Psychol Psychiatry 38:581–586

    Article  PubMed  CAS  Google Scholar 

  11. Goodman R (2001) Psychometric properties of the strengths and difficulties questionnaire (SDQ). J Am Acad Child Adolesc Psychiatry 40:1337–1345

    Article  PubMed  CAS  Google Scholar 

  12. Goodman R (1999) The extended version of the strengths and difficulties questionnaire as a guide to child psychiatric caseness and consequent burden. J Child Psychol Psychiatry 40:791–801

    Article  PubMed  CAS  Google Scholar 

  13. Goodman R, Renfrew D, Mullick M (2000) Predicting type of psychiatric disorder from strengths and difficulties questionnaire (SDQ) scores in child mental health clinics in London and Dhaka. Eur Child Adolesc Psychiatry 9:129–134

    Article  PubMed  CAS  Google Scholar 

  14. Goodman R, Ford T, Richards H, Gatward R, Meltzer H (2000) The development and well-being assessment: description and initial validation of an integrated assessment of child and adolescent psychopathology. J Child Psychol Psychiatry 41:645–655

    Article  PubMed  CAS  Google Scholar 

  15. Ford T, Goodman R, Meltzer H (2003) The British child and adolescent mental health survey 1999: the prevalence of DSM-IV disorders. J Am Acad Child Adolesc Psychiatry 42:1203–1211

    Article  PubMed  Google Scholar 

  16. Craig R, Hirani V (2010) Health survey for England 2009. The Information Centre, London

    Google Scholar 

  17. Noble M, Wright G, Dibben C, Smith G, McLennan D, Anttila C et al (2004) Indices of deprivation 2004. Office of the Deputy Prime Minister, London

    Google Scholar 

  18. Goodman R, Graham P (1996) Psychiatric problems in children with hemiplegia: cross sectional epidemiological survey. BMJ 312:1065–1069

    Article  PubMed  CAS  Google Scholar 

  19. Goodman R, Yude C, Richards H, Taylor E (1996) Rating child psychiatric caseness from detailed case histories. J Child Psychol Psychiatry 37:369–379

    Article  PubMed  CAS  Google Scholar 

  20. Goodman R, Yude C (2000) Emotional, behavioural and social consequences. In: Neville B, Goodman R (eds) Congenital hemiplegia: clinics in developmental medicine, no 150. Mac Keith Press, London, pp 166–178

    Google Scholar 

  21. Ford T, Hamilton H, Meltzer H, Goodman R (2007) Child mental health is everybody’s business: the prevalence of contact with public sector services by type of disorder among British school children in a three-year period. Child Adolesc Mental Health 12:13–20

    Article  Google Scholar 

  22. Fombonne E (2009) Epidemiology of pervasive developmental disorders. Pediatr Res 65:591–598

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Robert Goodman.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Goodman, R. Online child and adolescent mental health surveys can be good enough. Soc Psychiatry Psychiatr Epidemiol 48, 1317–1325 (2013). https://doi.org/10.1007/s00127-013-0658-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00127-013-0658-2

Keywords

Navigation