Feasibility of a Personalized SMS Intervention for Insomnia
Study Details
Study Description
Brief Summary
The goal of this research is to establish a proof of concept for optimizing and evaluating a personalized SMS intervention based for individuals with chronic sleep problems.
Condition or Disease | Intervention/Treatment | Phase |
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Early Phase 1 |
Detailed Description
Insomnia is a pervasive disorder affecting approximately 10-40% of the U.S. population in a given year. In addition, insomnia has been identified as a transdiagnostic symptom that cuts across numerous other psychological disorders. Interventions that target disordered sleep may attenuate symptomatic distress for a multitude of psychological disorders, making it a potentially potent intervention target with broad public health potential. Despite the ubiquity of the problem, only a fraction of individuals who could benefit actually receive the most effective intervention for insomnia, cognitive behavioral therapy for insomnia (CBT-I). Emerging research has pointed to the possibility of monitoring behavior and delivering personalized interventions to specific individuals via mobile devices. Personalized and adaptive interventions delivered via Short Message Service (SMS) provide a relatively simple solution to prompt individuals to engage in personalized interventions outside the context of opening or downloading a mobile mental health app. The content of text messages have the capacity to modulate behavior via prompts, motivational messages, and "nudges." By using brief, motivational messages based on evidence-based treatment for sleep (e.g. CBT-I), there is the potential to reduce dysfunctional sleep patterns at scale.
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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Experimental: Arm 1: Intervention Participants (N=50) who endorse insomnia will be followed for 8 weeks. All participants will be asked to download a separate app to passively monitor sleep that will inform the personalized messages. Participants will also be asked to respond to daily prompts in order to validate the passive sleep data. The study includes two phases: (1) a training and validation phase and (2) an intervention phase. During phase 1, participants' sleep habits and other behaviors will be monitored for two weeks in order to validate and optimize the SMS personalized sleep intervention (PSI). In phase 2, participants will be transitioned to the intervention phase of the study. |
Behavioral: SMS Personalized Sleep Intervention
All participants will be enrolled in the intervention to evaluate the feasibility and acceptability of the SMS-PSI. After the data training and validation phase, participants will be provided with at least one and up to three daily text messages that offer users a specific strategy based on strategies from CBTi. All participants will have access to a "user dashboard", which is a web-app that includes personalized sleep-tracking information and the opportunity to customize their messaging. The person-level acceptability and adherence to the sleep strategies will be evaluated via self-report endorsement from daily diary and whether users added suggestions to their calendars. Both adherence and acceptability will be collected and integrated with the selection algorithm to optimize subsequent SMS suggestions.
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Outcome Measures
Primary Outcome Measures
- Insomnia Severity Index [8 weeks]
Insomnia severity
Secondary Outcome Measures
- System Usability Scale [8 weeks]
Usability of the intervention
Other Outcome Measures
- PROMIS: Sleep related impairment [8 weeks]
Sleep-related functional impairment
- Flinders Fatigue Scale [8 weeks]
Fatigue
- Patient Health questionnaire 8 item [8 weeks]
Depression
- Difficulties in Emotion Regulation Scale [8 weeks]
Emotion regulation
Eligibility Criteria
Criteria
Inclusion Criteria:
- clinical insomnia (defined by scoring ≥ 15 on the insomnia severity index)
Exclusion Criteria:
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under 18 y.o.
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unable to read or write in English
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do not own a Smart Phone
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | University of Missouri-St Louis | Saint Louis | Missouri | United States | 63121 |
Sponsors and Collaborators
- University of Missouri, St. Louis
Investigators
- Principal Investigator: Chelsey R Wilks, PhD, University of Missouri, St. Louis
Study Documents (Full-Text)
None provided.More Information
Publications
- Bangor A, Kortum PT, Miller JT. An Empirical Evaluation of the System Usability Scale. Int J Hum-Comput Interact. 2008;24(6):574-594. http://doi:10.1080/10447310802205776
- Britton PC, McKinney JM, Bishop TM, Pigeon WR, Hirsch JK. Insomnia and risk for suicidal behavior: A test of a mechanistic transdiagnostic model in veterans. J Affect Disord. 2019 Feb 15;245:412-418. doi: 10.1016/j.jad.2018.11.044. Epub 2018 Nov 5.
- Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989 May;28(2):193-213.
- Cai GH, Theorell-Haglöw J, Janson C, Svartengren M, Elmståhl S, Lind L, Lindberg E. Insomnia symptoms and sleep duration and their combined effects in relation to associations with obesity and central obesity. Sleep Med. 2018 Jun;46:81-87. doi: 10.1016/j.sleep.2018.03.009. Epub 2018 Apr 3.
- Cella D, Riley W, Stone A, Rothrock N, Reeve B, Yount S, Amtmann D, Bode R, Buysse D, Choi S, Cook K, Devellis R, DeWalt D, Fries JF, Gershon R, Hahn EA, Lai JS, Pilkonis P, Revicki D, Rose M, Weinfurt K, Hays R; PROMIS Cooperative Group. The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005-2008. J Clin Epidemiol. 2010 Nov;63(11):1179-94. doi: 10.1016/j.jclinepi.2010.04.011. Epub 2010 Aug 4.
- Dolsen MR, Asarnow LD, Harvey AG. Insomnia as a transdiagnostic process in psychiatric disorders. Curr Psychiatry Rep. 2014 Sep;16(9):471. doi: 10.1007/s11920-014-0471-y. Review.
- Fortier-Brochu E, Beaulieu-Bonneau S, Ivers H, Morin CM. Insomnia and daytime cognitive performance: a meta-analysis. Sleep Med Rev. 2012 Feb;16(1):83-94. doi: 10.1016/j.smrv.2011.03.008. Epub 2011 Jun 1.
- Gradisar M, Lack L, Richards H, Harris J, Gallasch J, Boundy M, Johnston A. The Flinders Fatigue Scale: preliminary psychometric properties and clinical sensitivity of a new scale for measuring daytime fatigue associated with insomnia. J Clin Sleep Med. 2007 Dec 15;3(7):722-8.
- Gratz KL, Roemer L. Multidimensional Assessment of Emotion Regulation and Dysregulation: Development, Factor Structure, and Initial Validation of the Difficulties in Emotion Regulation Scale. J Psychopathol Behav Assess. 2004;26(1):41-54. http://doi:10.1023/B:JOBA.0000007455.08539.94
- Hardeman W, Houghton J, Lane K, Jones A, Naughton F. A systematic review of just-in-time adaptive interventions (JITAIs) to promote physical activity. Int J Behav Nutr Phys Act. 2019 Apr 3;16(1):31. doi: 10.1186/s12966-019-0792-7.
- Hébert ET, Ra CK, Alexander AC, Helt A, Moisiuc R, Kendzor DE, Vidrine DJ, Funk-Lawler RK, Businelle MS. A Mobile Just-in-Time Adaptive Intervention for Smoking Cessation: Pilot Randomized Controlled Trial. J Med Internet Res. 2020 Mar 9;22(3):e16907. doi: 10.2196/16907.
- Horvath AO, Greenberg LS. Development and validation of the Working Alliance Inventory. J Couns Psychol. 1989;36(2):223-233. http://doi:10.1037/0022-0167.36.2.223
- Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001 Sep;16(9):606-13.
- Kyle SD, Morgan K, Espie CA. Insomnia and health-related quality of life. Sleep Med Rev. 2010 Feb;14(1):69-82. doi: 10.1016/j.smrv.2009.07.004. Epub 2009 Dec 4. Review.
- Lattie EG, Schueller SM, Sargent E, Stiles-Shields C, Tomasino KN, Corden ME, Begale M, Karr CJ, Mohr DC. Uptake and Usage of IntelliCare: A Publicly Available Suite of Mental Health and Well-Being Apps. Internet Interv. 2016 May;4(2):152-158. Epub 2016 Jun 16.
- Lau PW, Lau EY, Wong del P, Ransdell L. A systematic review of information and communication technology-based interventions for promoting physical activity behavior change in children and adolescents. J Med Internet Res. 2011 Jul 13;13(3):e48. doi: 10.2196/jmir.1533. Review.
- Mai E, Buysse DJ. Insomnia: Prevalence, Impact, Pathogenesis, Differential Diagnosis, and Evaluation. Sleep Med Clin. 2008;3(2):167-174.
- Manber R, Edinger JD, Gress JL, San Pedro-Salcedo MG, Kuo TF, Kalista T. Cognitive behavioral therapy for insomnia enhances depression outcome in patients with comorbid major depressive disorder and insomnia. Sleep. 2008 Apr;31(4):489-95.
- Margolies SO, Rybarczyk B, Vrana SR, Leszczyszyn DJ, Lynch J. Efficacy of a cognitive-behavioral treatment for insomnia and nightmares in Afghanistan and Iraq veterans with PTSD. J Clin Psychol. 2013 Oct;69(10):1026-42. doi: 10.1002/jclp.21970. Epub 2013 Apr 29.
- Mcmurtry SL, Hudson WW. The Client Satisfaction Inventory: Results of an Initial Validation Study. Res Soc Work Pract. 2000;10(5):644-663. http://doi:10.1177/104973150001000506
- Mitchell MD, Gehrman P, Perlis M, Umscheid CA. Comparative effectiveness of cognitive behavioral therapy for insomnia: a systematic review. BMC Fam Pract. 2012 May 25;13:40. doi: 10.1186/1471-2296-13-40. Review.
- Morin CM, Rodrigue S, Ivers H. Role of stress, arousal, and coping skills in primary insomnia. Psychosom Med. 2003 Mar-Apr;65(2):259-67.
- Saeb S, Cybulski TR, Schueller SM, Kording KP, Mohr DC. Authorship Correction: Scalable Passive Sleep Monitoring Using Mobile Phones: Opportunities and Obstacles. J Med Internet Res. 2017 Apr 28;19(4):e143. doi: 10.2196/jmir.7932.
- Schroeder J, Suh J, Wilks C, Czerwinski M, Munson SA, Fogarty J, Althoff T. Data-Driven Implications for Translating Evidence-Based Psychotherapies into Technology-Delivered Interventions. Int Conf Pervasive Comput Technol Healthc. 2020 May;2020:274-287. doi: 10.1145/3421937.3421975.
- Spitzer RL, Kroenke K, Williams JB, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006 May 22;166(10):1092-7.
- Stinson K, Tang NK, Harvey AG. Barriers to treatment seeking in primary insomnia in the United Kingdom: a cross-sectional perspective. Sleep. 2006 Dec;29(12):1643-6.
- Szaszi B, Palinkas A, Palfi B, Szollosi A, Aczel B. A Systematic Scoping Review of the Choice Architecture Movement: Toward Understanding When and Why Nudges Work: Systematic Scoping Review of the Nudge Movement. J Behav Decis Mak. 2018;31(3):355-366. http://doi:10.1002/bdm.2035
- Trauer JM, Qian MY, Doyle JS, Rajaratnam SM, Cunnington D. Cognitive Behavioral Therapy for Chronic Insomnia: A Systematic Review and Meta-analysis. Ann Intern Med. 2015 Aug 4;163(3):191-204. doi: 10.7326/M14-2841. Review.
- Waite F, Myers E, Harvey AG, Espie CA, Startup H, Sheaves B, Freeman D. Treating Sleep Problems in Patients with Schizophrenia. Behav Cogn Psychother. 2016 May;44(3):273-87. doi: 10.1017/S1352465815000430. Epub 2015 Jul 30.
- Wilks CR, Lungu A, Ang SY, Matsumiya B, Yin Q, Linehan MM. A randomized controlled trial of an Internet delivered dialectical behavior therapy skills training for suicidal and heavy episodic drinkers. J Affect Disord. 2018 May;232:219-228. doi: 10.1016/j.jad.2018.02.053. Epub 2018 Feb 17.
- Wilks CR, Yin Q, Zuromski KL. User Experience Affects Dropout from Internet-Delivered Dialectical Behavior Therapy. Telemed J E Health. 2020 Jun;26(6):794-797. doi: 10.1089/tmj.2019.0124. Epub 2019 Sep 6.
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