Original article
Suicide Attempt Admissions From a Single Children's Hospital Before and After the Introduction of Netflix Series 13 Reasons Why

https://doi.org/10.1016/j.jadohealth.2018.08.028Get rights and content

Abstract

Purpose

Release of the Netflix series 13 Reasons Why in March 2017 raised concern over associated suicide attempts. This study aimed to identify trends in self-harm admissions to a tertiary children's hospital with special attention paid to the time after series release.

Methods

Records for admitted patients ages 4–18 years from January 2012 to October 2017 were identified based on ICD codes indicating self-harm. Admissions were grouped by month, and the ARMA (Auto Regression and Moving Average) model was used in analysis. Log transformation was used to obtain a constant variance, and seasonal terms were added for adjustment. A “postintervention” level shift, temporary shift, and linear growth term were incorporated as predictors in ARMA models to test for differences using the series premier as the intervention. Terms from the best fitting model (without intervention effects) were fit to preintervention data and forecast predictions were compared to the observed data from the postintervention period.

Results

Seven hundred seventy-five records were included in analysis. There was an increase of .024 in the log of suicide admission counts per month (p < .001). The model that best explained the data was an ARMA (2,2) model with cubic growth curve terms, a post-intervention level shift, and a postintervention linear growth term, indicating an increase in observed over expected admissions following the premiere.

Conclusions

Suicide admission counts increased over the time series. Actual suicide admissions following March 2017 were higher than predicted using the optimal model, suggesting an effect that temporally coincides with the release of 13 Reasons Why.

Section snippets

Methods

Admission records were obtained for TCH, a 314-bed facility that is the primary statewide tertiary referral center for children in Oklahoma with approximately 10,000 admissions per year from all counties in the state. Hospital electronic medical records for patients aged 4–18 years who were admitted between January 2012 and October 2017 were initially identified based on ICD9 and ICD10 billing codes indicating suicide attempt, suicidal ideation, self-harm, or poisoning [(ICD9 = E950-959),

Results

There were 1701 charts identified in the data screen, of which 926 were excluded due to the final diagnoses not being consistent with SHID or SI. This large number of exclusions from the initial data screen is explained primarily by the breadth of search terms that was used to be reasonably sure to identify all potential SHID/SI events given the limitations and variability of identifying charts by diagnoses codes. For example, the code for adverse event from medication was included, but this

Discussion

The results of this study demonstrate strong evidence of an overall increase in SHID/SI admissions from 2012 to 2017, which is congruent with national data on deaths by suicide previously cited. The model that best fit the data from our institution contained a clear ‘intervention’ effect that coincided with the release and popularity of 13 Reasons Why. Similarly, forecasted counts based on preshow trends significantly underestimated actual counts for the period after series release. While no

Acknowledgments

Partial results were presented in abstract/poster form at the Southern Society for Pediatric Research Regional Meeting in New Orleans in February 2018 and the Society of Pediatric Psychology Annual meeting in April of 2018. Dr.’s Cooper, Wallace, and Deleon drafted parts of the initial manuscript. There was no sponsor for this study and no payment was received by any author in production of the manuscript.

References (26)

  • BJ Insel et al.

    Impact of modeling on adolescent suicidal behavior

    Psychiatr Clin N Am

    (2008)
  • “13 Reasons Why” Netflix series: Considerations for educators.

  • B Butler

    ‘13 Reasons Why’ depicts a graphic suicide. Experts say there's a problem with that

  • M Gould et al.

    Media contagion and suicide among the young

    Am Behav Sci

    (2003)
  • J Howard

    Why teen mental health experts are focused on ‘13 Reasons Why’

  • AS Mueller et al.

    Suicidal disclosures among friends: Using social network data to understand suicide contagion

    J Health Soc Behav

    (2015)
  • (2017)
  • Center for Disease Control and Prevention: National Suicide Statistics

  • Suicide rates for teens aged 15–19 Years, by sex – United States, 1975–2015

  • Trends in the prevalence of suicide-related behavior, national YRBS: 1991–2014

  • A year in bingeing

  • C. Littleton

    Ted Sarandos blasts NBC's Netflix rating info: 'Remarkably Inaccurate'

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    Conflicts of interest: The authors have no conflicts of interest relevant to this article to disclose.

    Financial disclosure: The authors have no financial relationships relevant to this article to disclose.

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