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CNS Drugs

, Volume 26, Issue 3, pp 269–276 | Cite as

Risk of Road Traffic Accidents in Patients Discharged Following Treatment for Psychotropic Drug Overdose

A Self-Controlled Case Series Study in Australia
  • Tharaka L. Dassanayake
  • Alison L. Jones
  • Patricia T. Michie
  • Gregory L. Carter
  • Patrick McElduff
  • Barrie J. Stokes
  • Ian M. Whyte
Original Research Article

Abstract

Background: Use of psychotropic drugs is known to impair driving and increase the risk of road traffic accidents. They are also the most common drugs taken in overdose in hospital-treated episodes of self-poisoning. Most patients who take psychotropic drug overdoses are discharged within 48 hours, while they still have possible subclinical drug effects.

Objective: Using a self-controlled case series design, we aimed to determine whether patients with psychotropic drug overdose are at a higher risk of a traffic accident in the period following discharge compared with a control period not associated with hospital-treated drug overdose.

Methodology: Using the New South Wales (NSW) Admitted Patient Data Collection (APDC) as the primary source, we retrieved 40 845 hospital separation records dated between 1 July 2000 and 30 June 2008 (8 years) in patients aged 18–80 years admitted to a hospital in NSW following an intentional self-poisoning with a psychotropic drug (coded X61 or X62 as the International Classification of Diseases, 10th Edition, [ICD-10] external causeof injury). Of these, 33 459 hospital separations (i.e. discharges, transfers and deaths) involving 24 284 patients were considered eligible as the patients were discharged directly into the community where they could have driven a motor vehicle. We selected three separate post-admission periods (3 days, 1 week and 4 weeks), subtracted the number of inpatient days from each and calculated three separate post-discharge periods (immediate, intermediate and extended, respectively) for each episode of overdose. The control period was the duration of the study period where the individual was aged 18 years or older, excluding the total person-days in the post-discharge period/s and the index inpatient period/s. The APDC dataset was linked to the NSW Roads and Traffic Authority CrashLink dataset to identify any accidents in which each patient was involved as a motor-vehicle driver during the follow-up period. Incidence rate ratio (IRR) for matched post-discharge and control periods was found using random effects Poisson regression.

Results: Seventy-two percent of the subjects were discharged within 2 days following their admission with overdose. Compared with the corresponding control periods the risk of a traffic accident was 3.5 times higher (IRR =3.49; 95% CI 1.66, 7.33; p = 0.001) during the immediate, 1.9 times higher (IRR= 1.88; 95% CI 1.09, 3.25; p = 0.023) during the intermediate and 1.6 times higher (IRR= 1.65; 95% CI 1.27, 2.15; p = 0.0002) during the extended post-discharge period.

Conclusions: Self-poisoning with psychotropic drugs is associated with a markedly increased risk of a traffic accident during the first few days following discharge. These findings raise clinical and medico-legal implications concerning fitness-to-drive during this period. The risk reduces with time but remains significantly elevated after 4 weeks post-overdose. Further research is necessary to find out the factors contributing to this ongoing risk.

Keywords

Traffic Accident Psychotropic Drug Control Period Incidence Rate Ratio Accident Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

This study was funded by the University of Newcastle Centre for Health Record Linkage (CHeReL) Committee with CheReL Data Linkage Credits. All stages of the study and manuscript preparation were independent of the funding body. We acknowledge NSW Department of Health for providing hospital separation data, NSW Roads and Traffic Authority (RTA) for providing traffic accident data and CHeReL for conducting primary APDC and CrashLink data linkage. We thank Jane Roberson and Catherine D’Este from the School of Medicine and Public Health of the University of Newcastle for their contribution in designing this study. The authors have no conflicts of interest to declare.

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Copyright information

© Adis Data Information BV 2012

Authors and Affiliations

  • Tharaka L. Dassanayake
    • 1
    • 2
  • Alison L. Jones
    • 2
    • 3
  • Patricia T. Michie
    • 1
  • Gregory L. Carter
    • 4
    • 5
  • Patrick McElduff
    • 6
  • Barrie J. Stokes
    • 2
  • Ian M. Whyte
    • 2
    • 7
  1. 1.School of PsychologyThe University of NewcastleNewcastleAustralia
  2. 2.Discipline of Clinical Pharmacology and Toxicology, School of Medicine and Public Health, Faculty of HealthThe University of NewcastleNewcastleAustralia
  3. 3.Graduate School of MedicineUniversity of WollongongWollongongAustralia
  4. 4.Department of Consultation-Liaison PsychiatryCalvary Mater NewcastleNewcastleAustralia
  5. 5.School of Medicine and Public Health, Faculty of HealthThe University of NewcastleNewcastleAustralia
  6. 6.Centre for Epidemiology and Biostatistics, School of Medicine and Public Health, Faculty of HealthThe University of NewcastleNewcastleAustralia
  7. 7.Department of Clinical Toxicology and PharmacologyCalvary Mater NewcastleNewcastleAustralia

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