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A novel school-based approach to screening for attention deficit hyperactivity disorder

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Abstract

Current approaches to screening for ADHD result in high rates of false positives. A proof of concept study to investigate the added benefits in the school-based detection of ADHD of adding a standardised teacher to teacher interview to traditional parent and teacher report questionnaires. A school-based study of diagnostic accuracy of ADHD using a novel 2-stage screening process. Participants were all 1026 pupils enrolled in grades 1 to 6 (ages 6–12 years) of a school in Hunan Province, China. The primary outcome was a diagnosis of ADHD on the Kiddie Schedule for Affective Disorders and Schizophrenia Present Lifetime version. 230 (22.4%) of the 1026 students screened positive at Stage 1 (parent and teacher questionnaires) (Sensitivity 0.86 [95% CI, 0.75 to 0.96], specificity 0.80 [95% CI, 0.78–0.83], false positive rate 0.20 (95% CI, 0.18 to 0.23), false negative rate was 0.14 (95% CI, 0.12 to 0.16). 65 remained screen-positive at the Stage 2 screen (teacher to teacher SNAP-IV interview). 36/65 (55.4%) of these Stage 2 screen positive participants and 1/144 (0.7%) of the screen negative subjects met DSM-IV criteria for ADHD (sensitivity 0.83 [95% CI, 0.71–0.95]; specificity of 0.97 [95% CI, 0.96–0.98]; false positive rate 0.03 [95% CI, 0.01 to 0.04], false negative rate 0.16 [95% CI, 0.15 to 0.19]. Adding teacher to teacher interviews to traditional questionnaire-based screening has the potential to improve the clinical utility of school-based screening for ADHD reducing the proportion of false positives, without a negative impact on sensitivity.

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Availability of data and materials

Whilst participants gave permission for their data to be used for research, they did not consent to share this information publicly. This is in line with the recommendations by the Institutional Review Board and principle 9 of the Declaration of Helsinki. Thos seeking access to the data should apply jointly to Prof. David Coghill (david.coghill@unimelb.edu.au) and Professor Linyan Su (xysulinyan@126.com). Following application, consideration will be made for allowing access to a de-identified data file.

Abbreviations

ADHD:

Attention Deficit Hyperactivity Disorder

ARI:

Average rating per-item

CI:

Confidence interval

DSM-IV:

Diagnostic and statistical manual of mental disorders. 4th ed.

GP:

General practitioner

KSADS-PL:

Kiddie Schedule for Affective Disorders and Schizophrenia Present Lifetime version

NPV:

Negative predictive value

ODD:

Oppositional defiant disorder

PPV:

Positive predictive value

SNAP-IV:

Swanson Nolan and Pelham- IV ADHD rating scale

References

  1. Coghill D, Soutullo C, d’Aubuisson C, Preuss U, Lindback T, Silverberg M, Buitelaar J (2008) Impact of attention-deficit/hyperactivity disorder on the patient and family: results from a European survey. Child Adolesc Psychiatry Ment Health 2(1):31

    Article  Google Scholar 

  2. Danckaerts M, Sonuga-Barke EJ, Banaschewski T, Buitelaar J, Dopfner M, Hollis C, Santosh P, Rothenberger A, Sergeant J, Steinhausen HC, Taylor E, Zuddas A, Coghill D (2010) The quality of life of children with attention deficit/hyperactivity disorder: a systematic review. Eur Child Adolesc Psychiatry 19(2):83–105. https://doi.org/10.1007/s00787-009-0046-3

    Article  PubMed  Google Scholar 

  3. Polanczyk GV, Willcutt EG, Salum GA, Kieling C, Rohde LA (2014) ADHD prevalence estimates across three decades: an updated systematic review and meta-regression analysis. Int J Epidemiol. https://doi.org/10.1093/ije/dyt261

    Article  PubMed  PubMed Central  Google Scholar 

  4. Hinshaw SP, Scheffler RM, Fulton BD, Aase H, Banaschewski T, Cheng W, Mattos P, Holte A, Levy F, Sadeh A, Sergeant JA, Taylor E, Weiss MD (2011) International variation in treatment procedures for ADHD: social context and recent trends. Psychiatr Serv 62(5):459–464. https://doi.org/10.1176/appi.ps.62.5.459

    Article  PubMed  Google Scholar 

  5. Danielson ML, Bitsko RH, Ghandour RM, Holbrook JR, Kogan MD (2018) Prevalence of Parent-Reported ADHD Diagnosis and Associated Treatment Among US Children and Adolescents. J Clin Child Adol Psych 47(2):199–212. https://doi.org/10.1080/15374416.2017.1417860

    Article  Google Scholar 

  6. Holden SE, Jenkins-Jones S, Poole CD, Morgan CL, Coghill D, Currie CJ (2013) The prevalence and incidence, resource use and financial costs of treating people with attention deficit/hyperactivity disorder (ADHD) in the United Kingdom (1998 to 2010). Child Adolesc Psychiatry Mental Health 7(1):34. https://doi.org/10.1186/1753-2000-7-34

    Article  Google Scholar 

  7. Jin W, Du Y, Zhong X, Coghill D (2013) Prevalence and contributing factors to attention deficit hyperactivity disorder: A study of five- to fifteen-year-old children in Zhabei District. Shanghai Asia-Pacific Psychiatry. https://doi.org/10.1111/appy.12114

    Article  PubMed  Google Scholar 

  8. Thomas R, Mitchell GK, Batstra L (2013) Attention-deficit/hyperactivity disorder: are we helping or harming? BMJ 347:f6172. https://doi.org/10.1136/bmj.f6172

    Article  PubMed  Google Scholar 

  9. Sayal K, Prasad V, Daley D, Ford T, Coghill D (2018) ADHD in children and young people: prevalence, care pathways, and service provision. Lancet Psychiatry 5(2):175–186. https://doi.org/10.1016/S2215-0366(17)30167-0

    Article  PubMed  Google Scholar 

  10. Sayal K, Goodman R, Ford T (2006) Barriers to the identification of children with attention deficit/hyperactivity disorder. J Child Psychol Psychiatry 47(7):744–750

    Article  Google Scholar 

  11. Sayal K, Ford T, Goodman R (2010) Trends in recognition of and service use for attention-deficit hyperactivity disorder in Britain, 1999–2004. Psychiatr Serv 61(8):803–810

    Article  Google Scholar 

  12. Sayal K, Owen V, White K, Merrell C, Tymms P, Taylor E (2010) Impact of early school-based screening and intervention programs for ADHD on children’s outcomes and access to services: follow-up of a school-based trial at age 10 years. Arch Pediatr Adolesc Med 164(5):462–469

    Article  Google Scholar 

  13. Sayal K, Hornsey H, Warren S, MacDiarmid F, Taylor E (2006) Identification of children at risk of Attention Deficit/Hyperactivity Disorder: a school-based intervention. Soc Psychiatry Psychiatr Epidemiol 41(10):806–813

    Article  Google Scholar 

  14. Bied A, Biederman J, Faraone S (2017) Parent-based diagnosis of ADHD is as accurate as a teacher-based diagnosis of ADHD. Postgrad Med 129(3):375–381. https://doi.org/10.1080/00325481.2017.1288064

    Article  PubMed  PubMed Central  Google Scholar 

  15. Chang LY, Wang MY, Tsai PS (2016) Diagnostic accuracy of rating scales for attention-deficit/hyperactivity disorder: a meta-analysis. Pediatrics 137(3):e20152749. https://doi.org/10.1542/peds.2015-2749

    Article  PubMed  Google Scholar 

  16. Bossuyt PM, Reitsma JB, Bruns DE, Gatsonis CA, Glasziou PP, Irwig LM, Lijmer JG, Moher D, Rennie D, de Vet HC (2003) Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative. BMJ 326(7379):41–44

    Article  Google Scholar 

  17. Coghill D, Seth S (2015) Effective management of attention-deficit/hyperactivity disorder (ADHD) through structured re-assessment: the Dundee ADHD Clinical Care Pathway. Child Adolesc Psychiatry Mental Health 9:52. https://doi.org/10.1186/s13034-015-0083-2

    Article  Google Scholar 

  18. Döpfner M, Steinhausen HC, Coghill D, Dalsgaard S, Poole L, Ralston SJ, Rothenberger A, Baldursson G, Curatolo P, Falissard B, Hervas A, Le Heuzey MF, Nøvik TS, Pereira RR, Preuss U, Rasmussen P, Riley AW, Spiel G, Vlasveld L (2006) Cross-cultural reliability and validity of ADHD assessed by the ADHD rating scale in a pan-European study. Euro Child Adolesc Psychiatry 15(SUPPL 1): I/46-I/55. doi:https://doi.org/10.1007/s00787-006-1007-8

  19. Coghill D, Banaschewski T, Lecendreux M, Soutullo C, Johnson M, Zuddas A, Anderson C, Civil R, Higgins N, Lyne A, Squires L (2013) European, randomized, phase 3 study of lisdexamfetamine dimesylate in children and adolescents with attention-deficit/hyperactivity disorder. Eur Neuropsychopharmacol 23(10):1208–1218. https://doi.org/10.1016/j.euroneuro.2012.11.012

    Article  CAS  PubMed  Google Scholar 

  20. Gau SS, Lin CH, Hu FC, Shang CY, Swanson JM, Liu YC, Liu SK (2009) Psychometric properties of the Chinese version of the Swanson, Nolan, and Pelham, Version IV Scale-Teacher Form. J Pediatr Psychol 34(8):850–861. https://doi.org/10.1093/jpepsy/jsn133

    Article  PubMed  Google Scholar 

  21. Gau SS, Shang CY, Liu SK, Lin CH, Swanson JM, Liu YC, Tu CL (2008) Psychometric properties of the Chinese version of the Swanson, Nolan, and Pelham, version IV scale - parent form. Int J Methods Psychiatr Res 17(1):35–44. https://doi.org/10.1002/mpr.237

    Article  PubMed  PubMed Central  Google Scholar 

  22. Kaufman J, Birmaher B, Brent DA, Ryan ND, Rao U (2000) K-SADS-PL. J Am Acad Child Adolesc Psychiatry 39(10):1208

    Article  CAS  Google Scholar 

  23. Gau SSF, Chong MY, Chen THH, Cheng ATA (2005) A 3-year panel study of mental disorders among adolescents in Taiwan. Am J Psychiatry 162(7):1344–1350

    Article  Google Scholar 

  24. Altman DG, Bland JM (1994) Diagnostic tests 3: receiver operating characteristic plots. BMJ 309(6948):188

    Article  CAS  Google Scholar 

  25. Altman DG, Bland JM (1994) Diagnostic tests 2: Predictive values. BMJ 309(6947):102

    Article  CAS  Google Scholar 

  26. Altman DG, Bland JM (1994) Diagnostic tests 1: Sensitivity and specificity. BMJ 308(6943):1552

    Article  CAS  Google Scholar 

  27. Deeks JJ, Altman DG (2004) Diagnostic tests 4: likelihood ratios. BMJ 329(7458):168–169. https://doi.org/10.1136/bmj.329.7458.168

    Article  PubMed  PubMed Central  Google Scholar 

  28. Gardner MJ, Altman DG (1986) Confidence intervals rather than P values: estimation rather than hypothesis testing. Br Med J 292(6522):746–750

    Article  CAS  Google Scholar 

  29. Costa DS, de Paula JJ, Malloy-Diniz LF, Romano-Silva MA, Miranda DM (2019) Parent SNAP-IV rating of attention-deficit/hyperactivity disorder: accuracy in a clinical sample of ADHD, validity, and reliability in a Brazilian sample. Jornal de pediatria 95(6):736–743. https://doi.org/10.1016/j.jped.2018.06.014

    Article  PubMed  Google Scholar 

  30. Visser SN, Danielson ML, Bitsko RH, Holbrook JR, Kogan MD, Ghandour RM, Perou R, Blumberg SJ (2014) Trends in the parent-report of health care provider-diagnosed and medicated attention-deficit/hyperactivity disorder: United States, 2003–2011. J Am Acad Child Adolesc Psychiatry 53(1):34–46. https://doi.org/10.1016/j.jaac.2013.09.001

    Article  PubMed  Google Scholar 

  31. Scotland NQI (2008) Attention deficit and hyperkinetic disorders: services over Scotland. Edinburgh

  32. Scotland HI (2012) Attention Deficit and Hyperkinetic Disorders Services Over Scotland. Health Improvement Scotland, Edinburgh

    Google Scholar 

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Acknowledgements

Dr Fan Yang; Data collection, Dr Guangwen Huang; Study coordination with school, Mr Shun Au: UK/China study coordination, Prof. Eric Taylor: Comments on manuscript and editing first draft of manuscript.

Funding

Professor Coghill received funding as part of a research grant from Shire to support travel to China and accommodation whilst there. No other funding was received for study design, the collection, analysis, and interpretation of data, for the writing of the report or the decision to submit the article for publication. All researchers were fully independent from funders and had full access to all of the data. The researchers take responsibility for the integrity of the data and the accuracy of the data analysis.

Author information

Authors and Affiliations

Authors

Contributions

DC: conceptualized and designed the study, designed and implemented the statistical plan, led the discussion and interpretation of results, drafted the initial manuscript, approved the final manuscript as submitted and is guarantor for the study. YD, LS: contributed to study design, discussion and interpretation of results, critical review and editing of manuscript drafts and approved the final manuscript as submitted. WG: was responsible for on-site study coordination, clinical assessments and data collection, discussion and interpretation of results, critical review and editing of manuscript drafts and approved the final manuscript as submitted. DL, QX: were involved in clinical assessments and data collection, discussion and interpretation of results, critical review and editing of manuscript drafts and approved the final manuscript as submitted. MM: was involved in analysis and interpretation of the results, critical review and editing of manuscript drafts. All authors read and approved the final manuscript.

Corresponding author

Correspondence to David Coghill.

Ethics declarations

Conflict o interests

All authors have completed the Unified Competing Interest form at http://www.icmje.org/coi_disclosure.pdf (available on request from the corresponding author). None of the authors received and financial support for writing this article. David Coghill has received research support and/or honoraria from Shire/Takeda, Medice, Servier and Oxford University Press, Yasong Du has received research support and/or honoraria from Shire, Lilly, Janssen-Cilag and Linyang Su has received research support and/or honoraria from Shire, Lilly, Janssen-Cilag. None of the other authors have any financial disclosures relevant to this article. Other than the financial disclosures noted above none of the authors have conflicts of interest to disclose.

Consent to participate

All participants gave consent to participate.

Ethical standards

All procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008. All procedures involving human subjects/patients were approved by the ethical review board of the Second Xiangya Hospital of Central South University, Hunan, China (ref no. 2009 S170).

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Coghill, D., Du, Y., Jiang, W. et al. A novel school-based approach to screening for attention deficit hyperactivity disorder. Eur Child Adolesc Psychiatry 31, 909–917 (2022). https://doi.org/10.1007/s00787-021-01721-w

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  • DOI: https://doi.org/10.1007/s00787-021-01721-w

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