Emergency department visits for self-harm in adolescents after release of the Netflix series ‘13 Reasons Why’

Arendt, F, Scherr, S, Till, B, et al (2017) Suicide on TV: Minimising the risk to vulnerable viewers. BMJ 358: j3876.
Google Scholar | Medline Austin, P (2009) Using the standardized difference to compare the prevalence of a binary variable between two groups in observational research. Communications in Statistics—Simulation and Computation 38: 1228–1234.
Google Scholar | Crossref | ISI Ayers, JW, Althouse, BM, Leas, EC, et al (2017) Internet searches for suicide following the release of 13 Reasons Why. JAMA Internal Medicine 177: 1527–1529.
Google Scholar | Crossref | Medline Bethell, J, Rhodes, AE (2019) Identifying deliberate self-harm in emergency department data. Health Reports 20: 35–42.
Google Scholar Bridge, JA, Greenhouse, JB, Ruch, D, et al (2020) Association between the release of Netflix’s 13 Reasons Why and suicide rates in the United States: An interrupted time series analysis. Journal of the American Academy of Child and Adolescent Psychiatry 59: 236–243.
Google Scholar | Crossref | Medline Cooper, MT, Bard, D, Wallace, R, et al (2018) Suicide attempt admissions from a single children’s hospital before and after the introduction of Netflix Series 13 Reasons Why. Journal of Adolescent Health 63: 688–693.
Google Scholar | Crossref | Medline Fazel, S, Runeson, B (2020) Suicide. New England Journal of Medicine 382: 266–274.
Google Scholar | Crossref | Medline Feuer, V, Havens, J (2017) Teen suicide: Fanning the flames of a public health crisis. Journal of the American Academy of Child and Adolescent Psychiatry 56: 723–724.
Google Scholar | Crossref | Medline Government of Ontario . Personal Health Information Protection Act, 2004, S.O. 2004, c. 3, Sched. A. Available at: www.ontario.ca/laws/statute/04p03 (accessed 8 December 2020).
Google Scholar Hong, V, Ewell Foster, CJ, Magness, CS, et al (2019) 13 Reasons why: Viewing patterns and perceived impact among youths at risk of suicide. Psychiatric Services 70: 107–114.
Google Scholar | Crossref | Medline Jarvi, S, Jackson, B, Swenson, L, et al (2013) The impact of social contagion on non-suicidal self-injury: A review of the literature. Archives of Suicide Research 17: 1–9.
Google Scholar | Crossref | Medline | ISI Khasawneh, A, Chalil Madathil, K, Dixon, E, et al (2020) Examining the self-harm and suicide contagion effects of the Blue Whale challenge on YouTube and Twitter: Qualitative study. JMIR Mental Health 7: e15973.
Google Scholar | Crossref | Medline Kralj, B (2009) Measuring Rurality-RIO 2008_BASIC: Methodology and Results. Toronto, ON, Canada: Ontario Medical Association Economics Department.
Google Scholar McKean, AJS, Pabbati, CP, Geske, JR, et al (2018) Rethinking lethality in youth suicide attempts: First suicide attempt outcomes in youth ages 10 to 24. Journal of the American Academy of Child and Adolescent Psychiatry 57: 786–791.
Google Scholar | Crossref | Medline Mars, B, Heron, J, Klonsky, ED, et al (2019) Predictors of future suicide attempt among adolescents with suicidal thoughts or non-suicidal self-harm: A population-based birth cohort study. Lancet Psychiatry 6: 327–337.
Google Scholar | Crossref | Medline Netflix (2018) 13 Reasons Why discussion guide. Available at: https://13reasonswhy.info/wp-content/uploads/2018/03/13-Reasons-Why-Season-1-Discussion-Guide.compressed.pdf (accessed 6 February 2020).
Google Scholar Niederkrotenthaler, T, Stack, S, Till, B, et al (2019) Association of increased youth suicides in the United States with the release of 13 Reasons Why. JAMA Psychiatry 76: 933–940.
Google Scholar | Crossref | Medline Rosa, GSD, Andrades, GS, Caye, A, et al (2019) Thirteen reasons why: The impact of suicide portrayal on adolescents’ mental health. Journal of Psychiatric Research 108: 2–6.
Google Scholar | Crossref | Medline Sinyor, M, Williams, M, Tran, US, et al (2019) Suicides in young people in Ontario following the release of ‘13 Reasons Why’. Canadian Journal of Psychiatry 64: 798–804.
Google Scholar | SAGE Journals | ISI Steele, L, Glazier, R, Lin, E, et al (2004) Using administrative data to measure ambulatory mental health service provision in primary care. Medicine Care 42: 960–965.
Google Scholar | Crossref | Medline | ISI Thompson, LK, Michael, KD, Runkle, J, et al (2019) Crisis Text Line use following the release of Netflix series 13 Reasons Why Season 1: Time-series analysis of help-seeking behavior in youth. Preventive Medicine Reports 14: 100825.
Google Scholar | Crossref | Medline World Health Organization (2019) PREVENTING SUICIDE: A resource for filmmakers and others working on stage and screen. Available at: https://www.who.int/publications/i/item/preventing-suicide-a-resource-for-filmmakers-and-others-working-on-stage-and-screen (accessed 23 June 2020).
Google Scholar Yaffee, RA, McGee, M (2000) Chapter 8: Campaign analysis. In: McGee, M, Yaffee, RA (eds) An Introduction to Time Series Analysis and Forecasting: With Applications of SAS® and SPSS®. New York: Academic Press, pp. 265–352.
Google Scholar Yang, D, Dalton, JE (2012) A unified approach to measuring the effect size between two groups using SAS. SAS Global Forum . Available at: https://support.sas.com/resources/papers/proceedings12/335-2012.pdf (accessed 8 June 2020).
Google Scholar Yorkey, B (2017) 3 Reasons Why [Television Series]. Scotts Valley, CA: Netflix.
Google Scholar

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