- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05108194
Feasibility of a Personalized SMS Intervention for Insomnia
April 18, 2022 updated by: Chelsey Wilks, University of Missouri, St. Louis
Feasibility of a Personalized Short Message Service Intervention for Insomnia
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.
Study Overview
Status
Recruiting
Conditions
Intervention / Treatment
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 Type
Interventional
Enrollment (Anticipated)
50
Phase
- Early Phase 1
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Chelsey R Wilks, PhD
- Phone Number: (314) 516-5383
- Email: chelseywilks@umsl.edu
Study Locations
-
-
Missouri
-
Saint Louis, Missouri, United States, 63121
- Recruiting
- University of Missouri-St Louis
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years and older (Adult, Older Adult)
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Description
Inclusion Criteria:
- clinical insomnia (defined by scoring ≥ 15 on the insomnia severity index)
Exclusion Criteria:
- under 18 y.o.
- unable to read or write in English
- do not own a Smart Phone
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
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.
|
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.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Insomnia Severity Index
Time Frame: 8 weeks
|
Insomnia severity
|
8 weeks
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
System Usability Scale
Time Frame: 8 weeks
|
Usability of the intervention
|
8 weeks
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
PROMIS: Sleep related impairment
Time Frame: 8 weeks
|
Sleep-related functional impairment
|
8 weeks
|
|
Flinders Fatigue Scale
Time Frame: 8 weeks
|
Fatigue
|
8 weeks
|
|
Patient Health questionnaire 8 item
Time Frame: 8 weeks
|
Depression
|
8 weeks
|
|
Difficulties in Emotion Regulation Scale
Time Frame: 8 weeks
|
Emotion regulation
|
8 weeks
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Investigators
- Principal Investigator: Chelsey R Wilks, PhD, University of Missouri, St. Louis
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- 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. doi: 10.1046/j.1525-1497.2001.016009606.x.
- 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. doi: 10.1016/0165-1781(89)90047-4.
- Spitzer RL, Kroenke K, Williams JB, Lowe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006 May 22;166(10):1092-7. doi: 10.1001/archinte.166.10.1092.
- 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.
- 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.
- 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. doi: 10.1093/sleep/31.4.489.
- 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. doi: 10.1093/sleep/29.12.1643.
- 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.
- Mai E, Buysse DJ. Insomnia: Prevalence, Impact, Pathogenesis, Differential Diagnosis, and Evaluation. Sleep Med Clin. 2008;3(2):167-174. doi: 10.1016/j.jsmc.2008.02.001. No abstract available.
- Dolsen EA, 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.
- 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.
- Cai GH, Theorell-Haglow J, Janson C, Svartengren M, Elmstahl 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.
- 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.
- 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. doi: 10.1097/01.psy.0000030391.09558.a3.
- 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.
- 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.
- 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.
- 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. doi: 10.1016/j.invent.2016.06.003. 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.
- 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
- 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.
- Hebert 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.
- 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.
- 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.
- 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.
- 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.
- 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
- 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
- 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
- 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
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
November 15, 2021
Primary Completion (Anticipated)
June 1, 2022
Study Completion (Anticipated)
June 1, 2022
Study Registration Dates
First Submitted
October 11, 2021
First Submitted That Met QC Criteria
October 25, 2021
First Posted (Actual)
November 4, 2021
Study Record Updates
Last Update Posted (Actual)
April 25, 2022
Last Update Submitted That Met QC Criteria
April 18, 2022
Last Verified
April 1, 2022
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- UMissouriSL
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
YES
IPD Plan Description
De-identified participant outcome data will be made available to other researchers upon approval of home institution ethics approval.
IPD Sharing Time Frame
One year after data collection is complete
IPD Sharing Access Criteria
Approval from home institution internal review board
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ICF
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.