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Original article

Vol. 155 No. 6 (2025)

High data retrieval rates with SwissPedData for paediatric traumatic brain injuries in children’s hospitals: a multicentre, point-prevalence study

Cite this as:
Swiss Med Wkly. 2025;155:4065
Published
26.06.2025

Summary

STUDY AIMS: SwissPedNet aims to improve the quality of multicentre research through standardised documentation of routine healthcare data. Therefore, SwissPedData was developed as a set of defined common data elements to be documented in each electronic patient file in a standardised format. This study evaluates the preparedness of the ten SwissPedNet hospitals for SwissPedData before its nationwide implementation, focusing on: (a) whether the defined common data elements are effectively documented and can be retrieved for children presenting with traumatic brain injuries to paediatric emergency departments, and (b) analysis of the content of these common data elements to assess how children with traumatic brain injuries are treated in paediatric emergency departments across Switzerland.

METHODS: This multicentre point-prevalence study, conducted in June 2023, included all children up to 16 years presenting with traumatic brain injuries to ten SwissPedNet paediatric emergency departments over one calendar week. To assess the documentation of common data elements, a questionnaire was developed, consisting of 21 common data elements defined by SwissPedData, covering patient demographics, accident details, symptoms, paediatric emergency department course, and if applicable, inpatient course. Each hub retrospectively collected data from the electronic health records of all traumatic brain injury patients during the specified week. The primary objective was to assess the rate of successful data retrieval, defined as the presence of documented information for specific common data elements. Data were classified as missing if no information regarding a specific common data element was found in the electronic health record. The retrieval rate of each common data element was evaluated, and the average time investment per patient was recorded to estimate the associated workload. The secondary objectives focused on the content of the compiled common data element information, assessing causes and symptoms of traumatic brain injuries and injury severity and comparing management procedures for traumatic brain injury patients across Switzerland. Logistic regression was used to assess associations between specific patient characteristics (e.g. symptoms), the probability of having computed tomography (CT) scans in paediatric emergency departments, and the rate of hospitalisations.

RESULTS: During the study period, a total of 349 children with traumatic brain injury were treated; the median age was 4.0 years (interquartile range [IQR] 2.0–7.5 years). Data retrieval rates exceeded 90% for each common data element; specifically, common data elements with numeric information were extracted in 98.3% to 100% of cases, while those with standardised options or free-text entries had a retrieval rate of 91.7% to 100%. However, data on written discharge information were available for only 51.2% of outpatients and 53.3% of inpatients, with significant variability among hospitals. Data collection efforts varied among the ten participating hubs, with an average time investment per patient ranging from 0.5 to 2 hours and limited involvement of information technology (IT) departments. The prevalence of traumatic brain injury patients at the paediatric emergency departments was 6% (range: 3% to 11.5%), with most traumatic brain injuries occurring at home (48%) or on playgrounds (18.9%). The primary trauma mechanism was a fall (56.5%), usually from a height of less than 1 metre. Most patients (99.1%) had a normal Glasgow Coma Scale (GCS). CT scans were performed in ten cases in the paediatric emergency departments, revealing pathologies in four cases, and resulting in neurosurgical intervention in one case. Factors associated with undergoing a CT scan or being hospitalised included lower triage category numbers and loss of consciousness.

CONCLUSIONS: Common data elements are conscientiously documented within clinical information systems for patients with traumatic brain injuries in paediatric emergency departments, but data extraction requires considerable time and effort, underscoring the need for additional technical support. Although traumatic brain injuries are a common reason for paediatric emergency department visits, they are generally mild in severity. Although Switzerland has no national guidelines for treating children with traumatic brain injuries, management practices, particularly the low rate of CT scans in children with traumatic brain injury and normal GCS, appear to be fairly consistent across hospitals.

References

  1. Rakic M, Jaboyedoff M, Bachmann S, Berger C, Diezi M, do Canto P, et al. Clinical data for paediatric research: the Swiss approach : Proceedings of the National Symposium in Bern, Switzerland, Dec 5-6, 2019. BMC Proc. 2021 Sep;15 Suppl 13:19. doi: https://doi.org/10.1186/s12919-021-00226-3
  2. Berry JG, Blaine K, Rogers J, McBride S, Schor E, Birmingham J, et al. A framework of pediatric hospital discharge care informed by legislation, research, and practice. JAMA Pediatr. 2014 Oct;168(10):955–62. doi: https://doi.org/10.1001/jamapediatrics.2014.891
  3. Jaboyedoff M, Rakic M, Bachmann S, Berger C, Diezi M, Fuchs O, et al. SwissPedData: standardising hospital records for the benefit of paediatric research. Swiss Med Wkly. 2021 Dec;151(5152):w30069. doi: https://doi.org/10.4414/SMW.2021.w30069
  4. Wismer AC, Rakic M, Kuehni CE, Jaboyedoff M, Romano F, Kopp MV, et al. Consensus Minimal Dataset for Pediatric Emergency Medicine in Switzerland. Pediatr Emerg Care. 2022 Oct;38(10):511–6. doi: https://doi.org/10.1097/PEC.0000000000002841
  5. Mawji A, Li E, Chandna A, Kortz T, Akech S, Wiens MO, et al. Common data elements for predictors of pediatric sepsis: A framework to standardize data collection. PLoS One. 2021 Jun;16(6):e0253051. doi: https://doi.org/10.1371/journal.pone.0253051
  6. Grinspan ZM, Patel AD, Shellhaas RA, Berg AT, Axeen ET, Bolton J, et al.; Pediatric Epilepsy Learning Healthcare System. Design and implementation of electronic health record common data elements for pediatric epilepsy: foundations for a learning health care system. Epilepsia. 2021 Jan;62(1):198–216. doi: https://doi.org/10.1111/epi.16733
  7. Ward SL, Flori HR, Bennett TD, Sapru A, Mourani PM, Thomas NJ, et al. Design and Rationale for Common Data Elements for Clinical Research in Pediatric Critical Care Medicine. Pediatr Crit Care Med. 2020 Nov;21(11):e1038–41. doi: https://doi.org/10.1097/PCC.0000000000002455
  8. Al Mukhtar A, Bergenfeldt H, Edelhamre M, Vedin T, Larsson PA, Öberg S. The epidemiology of and management of pediatric patients with head trauma: a hospital-based study from Southern Sweden. Scand J Trauma Resusc Emerg Med. 2022 Dec;30(1):67. doi: https://doi.org/10.1186/s13049-022-01055-9
  9. SwissPedNet. Quality Management of SwissPedNet. 2024. Available from: https://www.swisspednet.ch/header/quality-management
  10. STaR Child Health. Completed standards. 2024. Available from: https://www.starchildhealth.org/standards
  11. Menon DK, Schwab K, Wright DW, Maas AI; Demographics and Clinical Assessment Working Group of the International and Interagency Initiative toward Common Data Elements for Research on Traumatic Brain Injury and Psychological Health. Position statement: definition of traumatic brain injury. Arch Phys Med Rehabil. 2010 Nov;91(11):1637–40. doi: https://doi.org/10.1016/j.apmr.2010.05.017
  12. Pardey TG. The clinical practice of Emergency Department Triage: Application of the Australasian Triage Scale—An extended literature review: Part I: Evolution of the ATS. Australas Emerg Nurs J. 2006;9(4):155–62. doi: https://doi.org/10.1016/j.aenj.2006.09.003
  13. J Murray M. The Canadian Triage and Acuity Scale: A Canadian perspective on emergency department triage. Emerg Med (Fremantle). 2003 Feb;15(1):6–10. doi: https://doi.org/10.1046/j.1442-2026.2003.00400.x
  14. Lyttle MD, Crowe L, Oakley E, Dunning J, Babl FE. Comparing CATCH, CHALICE and PECARN clinical decision rules for paediatric head injuries. Emerg Med J. 2012 Oct;29(10):785–94. doi: https://doi.org/10.1136/emermed-2011-200225
  15. Deakyne Davies SJ, Grundmeier RW, Campos DA, Hayes KL, Bell J, Alessandrini EA, et al.; Pediatric Emergency Care Applied Research Network. The Pediatric Emergency Care Applied Research Network Registry: A Multicenter Electronic Health Record Registry of Pediatric Emergency Care. Appl Clin Inform. 2018 Apr;9(2):366–76. doi: https://doi.org/10.1055/s-0038-1651496
  16. Wilson L, Boase K, Nelson LD, Temkin NR, Giacino JT, Markowitz AJ, et al. A Manual for the Glasgow Outcome Scale-Extended Interview. J Neurotrauma. 2021 Sep;38(17):2435–46. doi: https://doi.org/10.1089/neu.2020.7527
  17. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009 Apr;42(2):377–81. doi: https://doi.org/10.1016/j.jbi.2008.08.010
  18. Harris PA, Taylor R, Minor BL, Elliott V, Fernandez M, O’Neal L, et al.; The REDCap consortium. Building an international community of software partners. J Biomed Inform. 2019;95:103208. doi: https://doi.org/10.1016/j.jbi.2019.103208
  19. Wuerdeman L, Volk L, Pizziferri L, Tsurikova R, Harris C, Feygin R, et al. How accurate is information that patients contribute to their Electronic Health Record? AMIA Annu Symp Proc. 2005;2005:834–8.
  20. Hong CJ, Kaur MN, Farrokhyar F, Thoma A. Accuracy and completeness of electronic medical records obtained from referring physicians in a Hamilton, Ontario, plastic surgery practice: A prospective feasibility study. Plast Surg (Oakv). 2015;23(1):48–50. doi: https://doi.org/10.1177/229255031502300101
  21. Ebbers T, Kool RB, Smeele LE, Dirven R, den Besten CA, Karssemakers LH, et al. The Impact of Structured and Standardized Documentation on Documentation Quality; a Multicenter, Retrospective Study. J Med Syst. 2022 May;46(7):46. doi: https://doi.org/10.1007/s10916-022-01837-9
  22. Yengo-Kahn AM, Hibshman N, Bezzerides M, Feldman MJ, Vukovic AA, Mummareddy N, et al. Improving Discharge Instructions Following a Concussion Diagnosis in the Pediatric Emergency Department: A Pre-post Intervention Study. Pediatr Qual Saf. 2021;26;6(5):e456. doi: https://doi.org/10.1097/pq9.0000000000000456
  23. Kenei J, Opiyo E. Modeling and Visualization of Clinical Texts to Enhance Meaningful and User-Friendly Information Retrieval. Med. Sci. Forum. 2023;10(1):9. doi: https://doi.org/10.3390/IECH2022-12294
  24. Sheehan J, Hirschfeld S, Foster E, Ghitza U, Goetz K, Karpinski J, et al. Improving the value of clinical research through the use of Common Data Elements. Clin Trials. 2016 Dec;13(6):671–6. doi: https://doi.org/10.1177/1740774516653238
  25. Landolsi MY, Hlaoua L, Ben Romdhane L. Information extraction from electronic medical documents: state of the art and future research directions. Knowl Inf Syst. 2023;65(2):463–516. doi: https://doi.org/10.1007/s10115-022-01779-1
  26. Langlois JA, Rutland-Brown W, Thomas KE. Traumatic brain injury in the United States: emergency department visits, hospitalizations, and death.2006 Centers for disease control and prevention. Available from: https://stacks.cdc.gov/view/cdc/12294/ced_12294_DS1.pdf doi: https://doi.org/10.1037/e721222007-001
  27. McKinlay A, Grace RC, Horwood LJ, Fergusson DM, Ridder EM, MacFarlane MR. Prevalence of traumatic brain injury among children, adolescents and young adults: prospective evidence from a birth cohort. Brain Inj. 2008 Feb;22(2):175–81. doi: https://doi.org/10.1080/02699050801888824
  28. Keenan HT, Bratton SL. Epidemiology and outcomes of pediatric traumatic brain injury. Dev Neurosci. 2006;28(4-5):256–63. doi: https://doi.org/10.1159/000094152
  29. Shan J, Warton EM, Reed ME, Vinson DR, Kuppermann N, Dayan PS, et al. Computed Tomography Use in Children With Minor Head Trauma Presenting to 21 Community Emergency Departments Within an Integrated Health-Care System. Perm J. 2021;22;26(1):32-7.
  30. Sawaya RD, Wakil C, Wazir A, Shayya S, Berbari I, Safa R, et al. Does implementation of the PECARN rules for minor head trauma improve patient-centered outcomes in a lower resource emergency department: a retrospective cohort study. BMC Pediatr. 2020 Sep;20(1):439. doi: https://doi.org/10.1186/s12887-020-02328-x
  31. Kuppermann N, Holmes JF, Dayan PS, Hoyle JD Jr, Atabaki SM, Holubkov R, et al. Identification of children at very low risk of clinically-important brain injuries after head trauma: a prospective cohort study. Lancet. 2009;3;374(9696):1160-70. doi: https://doi.org/10.1016/S0140-6736(09)61558-0
  32. Stopa BM, Amoroso S, Ronfani L, Neri E, Barbi E, Lee LK. Comparison of minor head trauma management in the emergency departments of a United States and Italian Children’s hospital. Ital J Pediatr. 2019 Feb;45(1):24. doi: https://doi.org/10.1186/s13052-019-0615-0