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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT03267537
Other study ID # 1545864655443n/a
Secondary ID
Status Recruiting
Phase N/A
First received June 14, 2017
Last updated August 31, 2017
Start date June 13, 2017
Est. completion date May 31, 2019

Study information

Verified date August 2017
Source University of Arizona
Contact Sairam Parthasarathy, MD
Phone (520) 626-6109
Email sparthasarathy@deptofmed.arizona.edu
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

Insomnia is a common medical condition that has a deleterious effect on emotional status, health-related quality of life, and has been associated with hospitalizations and all-cause mortality. Recently hospitalized patients who are recuperating in their homes would find it difficult to return for weekly visits with a clinical psychologist and therefore could benefit from the convenience of CBT-I treatment administered in the comfort of their homes via the wireless iPAD and video chat software. In patients who are recently discharged from the hospital, we wish to assess whether telemedicine-based CBT-I is comparable to conventional office-based CBT-I in the efficacy for treating insomnia. Research aiming to improve understanding of whether insomnia represents a modifiable risk factor for re-hospitalizations in patients who are high utilizers of healthcare services is an important area of future research.


Description:

Insomnia is a common and distressing medical condition that affects nearly 20% of U.S. adults, and persistent (or chronic) insomnia affects nearly 10-15% of U.S. adults. In a community-based prospective observational study, preliminary data suggests that insomnia is associated with hospitalizations due to cardiovascular, cancer, or any cause over a 4-year period. Cognitive Behavioral Therapy for Insomnia (CBT-I) is considered the gold-standard in the treatment of insomnia. There are 5 components of CBT-I, sleep restriction therapy, stimulus control instructions, relaxation training, cognitive therapy, and sleep hygiene education. In an ongoing study of CBT-I in recently hospitalized patients, the investigators found a high prevalence of insomnia (80%) and were able to administer CBT-I in the participants' home via iPADs with wireless connectivity and secure video-chat software. Recently hospitalized patients who are recuperating in their homes would find it difficult to return for weekly visits with a clinical psychologist and therefore could benefit from the convenience of CBT-I treatment administered in the patient's homes via the wireless iPAD and video chat software. The AASM SleepTM platform could conceivably allow performance of CBT-I without the added expense of an iPAD. The investigators are proposing to perform a non-inferiority trial of telemedicine CBT-I (AASM SleepTM) versus conventional office-based CBT-I that is performed in patients with insomnia who have been recently discharged from the hospital. The investigators will measure the following outcomes: insomnia severity index (primary outcome) and patient satisfaction. In the future, the investigators' program of research aims to improve understanding of whether insomnia represents a modifiable risk factor for re-hospitalizations in patients who are high utilizers of healthcare services.

Specific Aim 1: To perform comparative effectiveness research of CBT-I administered by telemedicine versus conventional office-based CBT-I on insomnia severity in recently hospitalized patients.

Hypothesis #1: In recently hospitalized patients with insomnia, after six weeks of CBT-I treatment, the mean improvement in ISI score among patients treated by telemedicine CBT-I (AASM SleepTM) would be no more than 3-points less than that in patients treated by conventional office-based CBT-I.

Specific Aim 2: To perform comparative effectiveness research of CBT-I administered by telemedicine versus conventional office-based CBT-I on patient satisfaction.

Hypothesis #2: In recently hospitalized patients with insomnia, after six weeks of CBT-I treatment, the mean improvement in patient satisfaction score (Consumer Assessment of Health Plans Survey [CAHPS v4.0] item) among patients treated by telemedicine CBT-I (AASM SleepTM) would be no more than 1-point less than that in patients treated by conventional office-based CBT-I.


Recruitment information / eligibility

Status Recruiting
Enrollment 74
Est. completion date May 31, 2019
Est. primary completion date May 31, 2019
Accepts healthy volunteers No
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria:

- Medically ill patients with recent hospitalization who are being discharged to home.

- ISI score of > 10 (chronic insomnia)

- Age > 18 years

- Ability to provide informed consent

- Willingness to undergo sleep study

Exclusion Criteria:

- Presence of untreated sleep disorder that requires treatment independent of insomnia (Narcolepsy, restless leg syndrome, or REM sleep behavior disorder)

- Patients with severe debilitating neurological disease (end-stage Alzheimer's, large stroke, or other debilitating neurological disease) or any other condition that renders patients incapable of providing informed consent

- History of Bipolar disease; current or past (< 6 months) history of suicidality or suicidal ideation

- Active substance abuse or alcoholism

- Pregnancy or lactation

Study Design


Related Conditions & MeSH terms

  • Insomnia
  • Sleep Initiation and Maintenance Disorders

Intervention

Behavioral:
Telemedicine CBT-I
Will be administered in a manner similar to the conventional CBT-I arm except that the patient would not be required to make office visits
Conventional office-based CBT-I
Conventional office-based CBT-I

Locations

Country Name City State
United States University of Arizona (Banner University Medical Center - Tucson & Banner University Medical Center - South) Tucson Arizona

Sponsors (2)

Lead Sponsor Collaborator
University of Arizona American Academy of Sleep Medicine

Country where clinical trial is conducted

United States, 

References & Publications (21)

Almeida OP, Alfonso H, Yeap BB, Hankey G, Flicker L. Complaints of difficulty to fall asleep increase the risk of depression in later life: the health in men study. J Affect Disord. 2011 Nov;134(1-3):208-16. doi: 10.1016/j.jad.2011.05.045. Epub 2011 Jun 15. — View Citation

Althuis MD, Fredman L, Langenberg PW, Magaziner J. The relationship between insomnia and mortality among community-dwelling older women. J Am Geriatr Soc. 1998 Oct;46(10):1270-3. — View Citation

Buysse DJ, Ancoli-Israel S, Edinger JD, Lichstein KL, Morin CM. Recommendations for a standard research assessment of insomnia. Sleep. 2006 Sep;29(9):1155-73. Review. Erratum in: Sleep. 2006 Nov 1;29(11):1380. — View Citation

Buysse DJ. Insomnia. JAMA. 2013 Feb 20;309(7):706-16. doi: 10.1001/jama.2013.193. Review. — View Citation

Eaker ED, Pinsky J, Castelli WP. Myocardial infarction and coronary death among women: psychosocial predictors from a 20-year follow-up of women in the Framingham Study. Am J Epidemiol. 1992 Apr 15;135(8):854-64. — View Citation

Foley DJ, Monjan AA, Brown SL, Simonsick EM, Wallace RB, Blazer DG. Sleep complaints among elderly persons: an epidemiologic study of three communities. Sleep. 1995 Jul;18(6):425-32. — View Citation

Haynes PL, Parthasarathy S, Kersh B, Bootzin RR. Examination of insomnia and insomnia treatment in psychiatric inpatients. Int J Ment Health Nurs. 2011 Apr;20(2):130-6. doi: 10.1111/j.1447-0349.2010.00711.x. — View Citation

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. — View Citation

Li Y, Zhang X, Winkelman JW, Redline S, Hu FB, Stampfer M, Ma J, Gao X. Association between insomnia symptoms and mortality: a prospective study of U.S. men. Circulation. 2014 Feb 18;129(7):737-46. doi: 10.1161/CIRCULATIONAHA.113.004500. Epub 2013 Nov 13. — View Citation

Mallon L, Broman JE, Hetta J. Sleep complaints predict coronary artery disease mortality in males: a 12-year follow-up study of a middle-aged Swedish population. J Intern Med. 2002 Mar;251(3):207-16. — View Citation

Michelson D, Snyder E, Paradis E, Chengan-Liu M, Snavely DB, Hutzelmann J, Walsh JK, Krystal AD, Benca RM, Cohn M, Lines C, Roth T, Herring WJ. Safety and efficacy of suvorexant during 1-year treatment of insomnia with subsequent abrupt treatment discontinuation: a phase 3 randomised, double-blind, placebo-controlled trial. Lancet Neurol. 2014 May;13(5):461-71. doi: 10.1016/S1474-4422(14)70053-5. Epub 2014 Mar 27. — View Citation

Morin CM, Belleville G, Bélanger L, Ivers H. The Insomnia Severity Index: psychometric indicators to detect insomnia cases and evaluate treatment response. Sleep. 2011 May 1;34(5):601-8. — View Citation

Morin CM, Vallières A, Guay B, Ivers H, Savard J, Mérette C, Bastien C, Baillargeon L. Cognitive behavioral therapy, singly and combined with medication, for persistent insomnia: a randomized controlled trial. JAMA. 2009 May 20;301(19):2005-15. doi: 10.1001/jama.2009.682. — View Citation

Newman AB, Spiekerman CF, Enright P, Lefkowitz D, Manolio T, Reynolds CF, Robbins J. Daytime sleepiness predicts mortality and cardiovascular disease in older adults. The Cardiovascular Health Study Research Group. J Am Geriatr Soc. 2000 Feb;48(2):115-23. — View Citation

Nilsson PM, Nilsson JA, Hedblad B, Berglund G. Sleep disturbance in association with elevated pulse rate for prediction of mortality--consequences of mental strain? J Intern Med. 2001 Dec;250(6):521-9. — View Citation

Parthasarathy S, Vasquez MM, Halonen M, Bootzin R, Quan SF, Martinez FD, Guerra S. Persistent insomnia is associated with mortality risk. Am J Med. 2015 Mar;128(3):268-75.e2. doi: 10.1016/j.amjmed.2014.10.015. Epub 2014 Oct 16. — View Citation

Rockwood K, Davis HS, Merry HR, MacKnight C, McDowell I. Sleep disturbances and mortality: results from the Canadian Study of Health and Aging. J Am Geriatr Soc. 2001 May;49(5):639-41. — View Citation

Rod NH, Vahtera J, Westerlund H, Kivimaki M, Zins M, Goldberg M, Lange T. Sleep disturbances and cause-specific mortality: Results from the GAZEL cohort study. Am J Epidemiol. 2011 Feb 1;173(3):300-9. doi: 10.1093/aje/kwq371. Epub 2010 Dec 30. — View Citation

Schmittdiel J, Mosen DM, Glasgow RE, Hibbard J, Remmers C, Bellows J. Patient Assessment of Chronic Illness Care (PACIC) and improved patient-centered outcomes for chronic conditions. J Gen Intern Med. 2008 Jan;23(1):77-80. Epub 2007 Nov 21. — View Citation

Suzuki E, Yorifuji T, Ueshima K, Takao S, Sugiyama M, Ohta T, Ishikawa-Takata K, Doi H. Sleep duration, sleep quality and cardiovascular disease mortality among the elderly: a population-based cohort study. Prev Med. 2009 Aug-Sep;49(2-3):135-41. doi: 10.1016/j.ypmed.2009.06.016. Epub 2009 Jun 30. — View Citation

Vgontzas AN, Liao D, Pejovic S, Calhoun S, Karataraki M, Basta M, Fernández-Mendoza J, Bixler EO. Insomnia with short sleep duration and mortality: the Penn State cohort. Sleep. 2010 Sep;33(9):1159-64. — View Citation

* Note: There are 21 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Other Wake After Sleep Onset (WASO) WASO is defined as the number of minutes spent awake after sleep onset. This is going to be measured by wrist actigraphy and sleep diaries. Change in WASO will be assessed over the intervention period Sleep diaries are completed daily and actiwatch is worn continuously during the treatment period (~6 weeks)
Other Sleep Onset Latency (SOL) SOL is the number of minutes that it takes to fall asleep. This is going to be measured by wrist actigraphy and sleep diaries. Change in SOL will be assessed over the intervention period Sleep diaries are completed daily and actiwatch is worn continuously during the treatment period (~6 weeks)
Other Pittsburgh Sleep Quality Index (PSQI) Provides a subjective assessment of sleep quality. Change in PSQI score will be assessed between baseline and 6-week follow-up. Administered at baseline and at the end of receiving CBT-I (~6 weeks)
Other SF-36 Health Survey A 36 item health status assessment tool, which measures general health and quality of life. Change in various dimensions of the SF-36 will be assessed over the 6-week period. Administered at baseline, at the end of receiving CBT-I (~6 weeks), at 2 weeks following treatment, and at 12 weeks following treatment
Other Re-hospitalizations Composite number of hospital readmissions over 6 weeks. Administered at the time of hospital discharge and at the end of receiving CBT-I (~6 weeks)
Other Healthcare utilization Composite number of visits to any of the following locations of healthcare service for care delivery: Emergency room, urgent care, as well as unscheduled and scheduled clinic visits. Administered at the time of hospital discharge and at the end of receiving CBT-I (~6 weeks)
Other Epworth Sleepiness Scale (ESS) A measure of sleepiness. Change in ESS score will be assessed Administered at baseline and at the end of receiving CBT-I (~6 weeks)
Primary Insomnia Severity Index (ISI) A 7-item questionnaire used to assess insomnia severity with a score ranging between 0 to 28. Each questionnaire item addresses an aspect about sleep that is rated by the respondent on a 5-point scale (i.e., 0=no problem & 4=very severe problem) Change in ISI score will be assessed between baseline and following CBT-I treatment over a 6 week period. Baseline and after receiving CBT-I (~6 weeks)
Secondary Consumer Assessment of Health Plans Survey (CAHPS v4.0) item Health plan member's satisfaction with care on 0 to 10 scale (0 is the "worst " and 10 is the "best health plan possible"). Change in CAHPS score will be measured Administered at baseline and at the end of receiving CBT-I (~6 weeks)
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