Published on 26.10.12 in Vol 14, No 5 (2012): Sep-Oct
Works citing "Reducing Suicidal Ideation: Cost-Effectiveness Analysis of a Randomized Controlled Trial of Unguided Web-Based Self-help"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.1966):
(note that this is only a small subset of citations)
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Silva JAMD, Siegmund G, Bredemeier J. Crisis interventions in online psychological counseling. Trends in Psychiatry and Psychotherapy 2015;37(4):171
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Lai MH, Maniam T, Chan LF, Ravindran AV. Caught in the Web: A Review of Web-Based Suicide Prevention. Journal of Medical Internet Research 2014;16(1):e30
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Kreuze E, Jenkins C, Gregoski M, York J, Mueller M, Lamis DA, Ruggiero KJ. Technology-enhanced suicide prevention interventions: A systematic review. Journal of Telemedicine and Telecare 2017;23(6):605
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van Spijker BA, van Straten A, Kerkhof AJ. Online self-help for suicidal thoughts: 3-month follow-up results and participant evaluation. Internet Interventions 2015;2(3):283
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Christensen H, Petrie K. Suicide prevention: signposts for a new approach. Medical Journal of Australia 2013;198(9):472
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De Jaegere E, van Landschoot R, van Heeringen K, van Spijker BA, Kerkhof AJ, Mokkenstorm JK, Portzky G. The online treatment of suicidal ideation: A randomised controlled trial of an unguided web-based intervention. Behaviour Research and Therapy 2019;119:103406
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. The relationship between attitudes toward suicide and willingness to pay for suicide prevention: a cross-sectional study in Japan. Psychology, Health & Medicine 2017;22(9):1072
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Wilks C, Yin Q, Ang SY, Matsumiya B, Lungu A, Linehan M. Internet-Delivered Dialectical Behavioral Therapy Skills Training for Suicidal and Heavy Episodic Drinkers: Protocol and Preliminary Results of a Randomized Controlled Trial. JMIR Research Protocols 2017;6(10):e207
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Whiteside U, Lungu A, Richards J, Simon GE, Clingan S, Siler J, Snyder L, Ludman E. Designing Messaging to Engage Patients in an Online Suicide Prevention Intervention: Survey Results From Patients With Current Suicidal Ideation. Journal of Medical Internet Research 2014;16(2):e42
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van Spijker BAJ, Batterham PJ, Calear AL, Farrer L, Christensen H, Reynolds J, Kerkhof AJ. The Suicidal Ideation Attributes Scale (SIDAS): Community‐Based Validation Study of a New Scale for the Measurement of Suicidal Ideation. Suicide and Life-Threatening Behavior 2014;44(4):408
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van Spijker BAJ, van Straten A, Kerkhof AJFM, Baradaran HR. Effectiveness of Online Self-Help for Suicidal Thoughts: Results of a Randomised Controlled Trial. PLoS ONE 2014;9(2):e90118
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Muñoz-Sánchez J, Delgado C, Sánchez-Prada A, Parra-Vidales E, de Leo D, Franco-Martín M. Facilitating Factors and Barriers to the Use of Emerging Technologies for Suicide Prevention in Europe: Multicountry Exploratory Study. JMIR Mental Health 2018;5(1):e7
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Hetrick SE, Robinson J, Burge E, Blandon R, Mobilio B, Rice SM, Simmons MB, Alvarez-Jimenez M, Goodrich S, Davey CG. Youth Codesign of a Mobile Phone App to Facilitate Self-Monitoring and Management of Mood Symptoms in Young People With Major Depression, Suicidal Ideation, and Self-Harm. JMIR Mental Health 2018;5(1):e9
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Seward A, Harris KM. Offline Versus Online Suicide-Related Help Seeking: Changing Domains, Changing Paradigms. Journal of Clinical Psychology 2016;72(6):606
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Na PJ, Kim KB, Lee‐Tauler SY, Han H, Kim MT, Lee HB. Predictors of suicidal ideation in Korean American older adults: analysis of the Memory and Aging Study of Koreans (MASK). International Journal of Geriatric Psychiatry 2017;32(12):1272
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Karasouli E, Adams A. Assessing the Evidence for e-Resources for Mental Health Self-Management: A Systematic Literature Review. JMIR Mental Health 2014;1(1):e3
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Krysinska K, Westerlund M, Niederkrotenthaler T, Andriessen K, Carli V, Hadlaczky G, Till B, Wasserman D. A Mapping Study on the Internet and Suicide. Crisis 2017;38(4):217
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Yao Q, Lyu P, Yang L, Yao L, Liu Z. Current performance and future trends in health care sciences and services research. Scientometrics 2014;101(1):751
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de Beurs DP, Fokkema M, de Groot MH, de Keijser J, Kerkhof AJ. Longitudinal measurement invariance of the Beck Scale for Suicide Ideation. Psychiatry Research 2015;225(3):368
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Doran CM, Ling R, Gullestrup J, Swannell S, Milner A. The Impact of a Suicide Prevention Strategy on Reducing the Economic Cost of Suicide in the New South Wales Construction Industry. Crisis 2016;37(2):121
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Jacob N, Scourfield J, Evans R. Suicide Prevention via the Internet. Crisis 2014;35(4):261
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Donker T, Blankers M, Hedman E, Ljótsson B, Petrie K, Christensen H. Economic evaluations of Internet interventions for mental health: a systematic review. Psychological Medicine 2015;45(16):3357
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Liu NH, Contreras O, Muñoz RF, Leykin Y. Assessing Suicide Attempts and Depression Among Chinese Speakers Over the Internet. Crisis 2014;35(5):322
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Rickwood D, Telford N, Kennedy V, Bailey E, Robinson J. The Need For and Acceptance of a Suicide Postvention Support Service for Australian Secondary Schools. Journal of Psychologists and Counsellors in Schools 2018;28(1):55
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Wong QJ, Werner-Seidler A, Torok M, van Spijker B, Calear AL, Christensen H. Service Use History of Individuals Enrolling in a Web-Based Suicidal Ideation Treatment Trial: Analysis of Baseline Data. JMIR Mental Health 2019;6(4):e11521
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Katz CC, Busby D, McCabe C. Suicidal behaviour in transition‐aged youth with out‐of‐home care experience: Reviewing risk, assessment, and intervention. Child & Family Social Work 2020;25(3):611
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Crutcher CL, Fannin ES, Wilson JD. Racial Disparities in Cranial Gunshot Wounds: Intent and Survival. Journal of Racial and Ethnic Health Disparities 2016;3(4):687
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Carter G, Page A, Large M, Hetrick S, Milner AJ, Bendit N, Walton C, Draper B, Hazell P, Fortune S, Burns J, Patton G, Lawrence M, Dadd L, Robinson J, Christensen H. Royal Australian and New Zealand College of Psychiatrists clinical practice guideline for the management of deliberate self-harm. Australian & New Zealand Journal of Psychiatry 2016;50(10):939
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Falcone G, Nardella A, Lamis DA, Erbuto D, Girardi P, Pompili M. Taking care of suicidal patients with new technologies and reaching-out means in the post-discharge period. World Journal of Psychiatry 2017;7(3):163
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Cebria AI, Pérez-Bonaventura I, Cuijpers P, Kerkhof A, Parra I, Escayola A, García–Parés G, Oliva JC, Puntí J, López D, Valles V, Pamias M, Hegerl U, Pérez-Sola V, Palao DJ. Telephone Management Program for Patients Discharged From an Emergency Department After a Suicide Attempt. Crisis 2015;36(5):345
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Riihimäki K, Vuorilehto M, Melartin T, Haukka J, Isometsä E. Incidence and predictors of suicide attempts among primary-care patients with depressive disorders: a 5-year prospective study. Psychological Medicine 2014;44(2):291
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Riippa I, Linna M, Rönkkö I. A Patient Portal With Electronic Messaging: Controlled Before-and-After Study. Journal of Medical Internet Research 2015;17(11):e250
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Christensen H, Batterham P, O'Dea B. E-Health Interventions for Suicide Prevention. International Journal of Environmental Research and Public Health 2014;11(8):8193
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Richards D, Duffy D, Burke J, Anderson M, Connell S, Timulak L. Supported Internet-Delivered Cognitive Behavior Treatment for Adults with Severe Depressive Symptoms: A Secondary Analysis. JMIR Mental Health 2018;5(4):e10204
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Cha CB, Wilson KM, Tezanos KM, DiVasto KA, Tolchin GK. Cognition and self-injurious thoughts and behaviors: A systematic review of longitudinal studies. Clinical Psychology Review 2019;69:97
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Torous J, Larsen ME, Depp C, Cosco TD, Barnett I, Nock MK, Firth J. Smartphones, Sensors, and Machine Learning to Advance Real-Time Prediction and Interventions for Suicide Prevention: a Review of Current Progress and Next Steps. Current Psychiatry Reports 2018;20(7)
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Büscher R, Torok M, Sander L. The Effectiveness of Internet-Based Self-Help Interventions to Reduce Suicidal Ideation: Protocol for a Systematic Review and Meta-Analysis. JMIR Research Protocols 2019;8(7):e14174
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. Willingness to pay for suicide prevention in Japan. Death Studies 2016;40(5):283
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Madsen T, van Spijker B, Karstoft K, Nordentoft M, Kerkhof AJ. Trajectories of Suicidal Ideation in People Seeking Web-Based Help for Suicidality: Secondary Analysis of a Dutch Randomized Controlled Trial. Journal of Medical Internet Research 2016;18(6):e178
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Aardoom J, Dingemans A, van Ginkel J, Spinhoven P, Van Furth E, Van den Akker‐van Marle M. Cost‐utility of an internet‐based intervention with or without therapist support in comparison with a waiting list for individuals with eating disorder symptoms: a randomized controlled trial. International Journal of Eating Disorders 2016;49(12):1068
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O'Toole MS, Arendt MB, Pedersen CM. Testing an App-Assisted Treatment for Suicide Prevention in a Randomized Controlled Trial: Effects on Suicide Risk and Depression. Behavior Therapy 2019;50(2):421
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Mann JJ, Michel CA, Auerbach RP. Improving Suicide Prevention Through Evidence-Based Strategies: A Systematic Review. American Journal of Psychiatry 2021;178(7):611
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Alvi MH, Shiri T, Iqbal N, Husain MO, Chaudhry I, Shakoor S, Ansari S, Kiran T, Chaudhry N, Husain N. Cost-Effectiveness of a Culturally Adapted Manual-Assisted Brief Psychological Intervention for Self-Harm in Pakistan: A Secondary Analysis of the Culturally Adapted Manual-Assisted Problem-Solving Training Randomized Controlled Trial. Value in Health Regional Issues 2021;25:150
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Alvi MH, Shiri T, Iqbal N, Husain MO, Chaudhry I, Shakoor S, Ansari S, Kiran T, Chaudhry N, Husain N. Cost-Effectiveness of a Culturally Adapted Manual-Assisted Brief Psychological Intervention for Self-Harm in Pakistan: A Secondary Analysis of the Culturally Adapted Manual-Assisted Brief Psychological Randomized Controlled Trial. Value in Health Regional Issues 2022;27:65
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Erevik EK, Landrø H, Mattson L, Kristensen JH, Kaur P, Pallesen S. Problem gaming and suicidality: A systematic literature review. Addictive Behaviors Reports 2022;15:100419
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. Intrapersonal Experiences and Suicide Ideation of University Students: The Case of Kwame Nkrumah University of Science and Technology, Ghana. E-Journal of Humanities, Arts and Social Sciences 2022;:459
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Zhao C, Wampold BE, Ren Z, Zhang L, Jiang G. The efficacy and optimal matching of an Internet‐based acceptance and commitment therapy intervention for depressive symptoms among university students: A randomized controlled trial in China. Journal of Clinical Psychology 2022;78(7):1354
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Kählke F, Buntrock C, Smit F, Ebert DD. Systematic review of economic evaluations for internet- and mobile-based interventions for mental health problems. npj Digital Medicine 2022;5(1)
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Gega L, Jankovic D, Saramago P, Marshall D, Dawson S, Brabyn S, Nikolaidis GF, Melton H, Churchill R, Bojke L. Digital interventions in mental health: evidence syntheses and economic modelling. Health Technology Assessment 2022;26(1):1
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Riblet NB, Matsunaga S, Shiner B, Schnurr PP, Watts BV. Are suicide risk scales sensitive to change? A scoping review. Journal of Psychiatric Research 2023;161:170
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Mann JJ, Michel CA, Auerbach RP. Improving Suicide Prevention Through Evidence-Based Strategies: A Systematic Review. FOCUS 2023;21(2):182
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Krysinska K, Andriessen K, Bandara P, Reifels L, Flego A, Page A, Schlichthorst M, Pirkis J, Mihalopoulos C, Khanh-Dao Le L. The Cost-Effectiveness of Psychosocial Interventions Following Self-Harm in Australia. Crisis 2023;
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Beuthin O, Bhui K, Yu L, Shahid S, Almidani L, Bilalaga MM, Hussein R, Harba A, Nasser Y. Culturally Adapting a Digital Intervention to Reduce Suicidal Ideation for Syrian Asylum Seekers and Refugees in the United Kingdom: Protocol for a Qualitative Study. JMIR Research Protocols 2023;12:e47627
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.1966):
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Kerkhof A, van Spijker B. The International Handbook of Suicide Prevention. 2016. :480
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Luyten J, Henderson C. Mental Health Economics. 2017. Chapter 5:71
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. The International Handbook of Suicide Prevention. 2016. :775
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Kerkhof AJFM, van Spijker BAJ, Mokkenstorm JK. Suicide Prevention and New Technologies. 2013. Chapter 4:50
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