Clinical trial NCT03345524: Predictive Analytics and Peer-Driven Intervention for Guideline-based Care for Sleep Apnea
Official title: Predictive Analytics and Peer-Driven Intervention for Guideline-based Care for Sleep Apnea
Study type: INTERVENTIONAL
Overall status: UNKNOWN
Phase: NA
Conditions: Obstructive Sleep Apnea
Keywords: Obstructive Sleep Apnea
OSA
Peer-Buddies
CPAP
CPAP Adherence
Lead sponsor: University of Arizona
Sponsor class: OTHER
Collaborators: name: National Heart, Lung, and Blood Institute (NHLBI)
First posted: 2017-11-17
Enrollment: 145
Sex: ALL
Minimum age (years): 21
Maximum age (years): 85
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Allocation: RANDOMIZED
Intervention model: PARALLEL
Intervention model description: Randomized Controlled Trial
Primary purpose: SUPPORTIVE_CARE

Brief summary: Obstructive sleep apnea (OSA) is a prevalent condition that affects 7 to 12% of the US population and is characterized by repetitive collapse of the upper airway during sleep. Continuous positive airway pressure (CPAP) has been shown to be highly effective in the treatment of OSA, however, adherence is poor with up to 54% of patients being non-adherent to CPAP therapy by Medicare criteria, which has been attributed to inadequate patient education and support for CPAP therapy.

Poor treatment adherence in patients with OSA can lead to adverse health consequences, poor quality of life, and patient dissatisfaction. Poor treatment adherence may be due to lack of sufficient patient education, time delays in delivery of care, lack of adequate healthcare coordination, or difficulty accessing various healthcare providers across a front desk which serves as a "healthcare bottle-neck". Better efficiency in healthcare delivery, with greater connectivity through knowledgeable and trained peer volunteers and cheap cell-phones integrated by a smart telephone exchange may alleviate some of the care and communication burden faced by the healthcare system. Specifically, such community health education volunteers ("peer-buddies") who are experienced in managing their OSA may be able to impart knowledge and confidence to a recently diagnosed patient in a much more personalized manner than that of a group therapy session.

Detailed description: OSA affects 7 to 12% of the US population and is an independent risk factor for several clinical consequences such as systemic hypertension, cardiovascular disease, stroke, reduced HR-QOL, increased all-cause mortality, and motor vehicle accidents due to sleepiness. However, OSA and other sleep disorders are woefully underdiagnosed because of time constraints at the PCP's office. Such poor CPAP adherence is associated with increased risk for fatal and non-fatal cardiovascular events. CPAP therapy has been associated with up to 3-fold reduction in fatal and non-fatal cardiovascular events in both on-treatment analysis of RCTs and observational studies. CPAP therapy is associated with 7-fold reduction in sleepiness-related accidents. The overarching aim of this proposal is to institute a multi-level strategy aimed at improving guideline based care for OSA in populations with health disparities.

The overarching aim of the program of research is to eventually institute a multi-level strategy with interventions aimed at both providers and patients in order to improve guideline based care for OSA in populations with health disparities. Specifically, in order to address the under-diagnosis of OSA, an electronic health record (EHR) based predictive analytics system will be implemented. A similar EHR-based alert system with reflex order sets for initiating testing for OSA that the investigators have developed will enable PCPs to effectively diagnose and treat OSA. It was found that in a nationally representative dataset of \~220,000 patients, lower neighborhood income was associated with lower CPAP adherence. Considering the time and access-related barriers in the PCP office, it is believed that such socioeconomic status (SES) related differences in CPAP adherence needs to be addressed by culturally-competent peer educators (such as promotors) with OSA serving as "peer-buddies". In a recent multi-site RCT, it was found that CPAP adherence and patient satisfaction was improved by peer-driven intervention through an interactive voice response system (PDI-IVR; PCORI-IHS-1306-02505), whereby the peers shared their experiences with CPAP naïve patients and educated them about OSA and risks of CPAP nonadherence. Whether PDI-IVR can improve adherence in underserved population in low resource clinics is unclear. In this proposal, 110 CPAP naïve patients and 35 experienced peer-buddies will be recruited in from a large healthcare system that provides care for an underserved population with an excess burden of sleep disorders (Medicaid and dual-eligible Medicare beneficiaries). This study will address health disparities in the diagnosis and treatment of OSA using a patient-level educational intervention (PDI-IVR system) targeting patients and thereby promote health equity. This proposal will also inform future studies by gathering additional data on the effect of PDI-IVR on adherence to sleep study testing and CPAP adherence in an underserved population in low resource clinics.

Specific Aim #1: To test a peer-driven intervention with interactive voice response (PDI-IVR) system to improve adherence to sleep study testing in a lower socioeconomic population.

Hypothesis #1: A PDI-IVR support system will lead to greater adherence to sleep study testing in patients with OSA when compared to patients receiving conventional education.

Specific Aim #2: To test a peer-driven intervention with interactive voice response (PDI-IVR) system to improve CPAP treatment adherence in a lower socioeconomic population.

Hypothesis #2: A PDI-IVR support system will lead to greater adherence to CPAP therapy in patients with OSA when compared to patients receiving conventional education.

Eligibility criteria: Inclusion Criteria for Subject:

* Referral for sleep study testing for possible OSA
* Medicaid and dual-eligible Medicare beneficiaries
* Household income in the bottom national quartile of household median income

Inclusion Criteria for Peer Buddy:

* Adherent to CPAP therapy (greater than or equal to 4 hours per night of CPAP use)
* Willing to meet with peer-buddy on 2-4 occasions in-person
* Has a cell phone or other reliable telephone line
* Willing to undergo one-two training and orientation session(s) and pass a subsequent mock patient interaction

Exclusion Criteria for Subject:

* Central sleep apnea (CSA)
* Participation in another intervention-based research study
* Patient's primary care provider refuses patient participation for medical instability

Exclusion Criteria for Peer Buddy:

* Central sleep apnea (CSA)
* Participation in another intervention-based research study
* Patient's primary care provider refuses patient participation for medical instability
* Major depression or other major psychiatric illness
* Shift-worker or frequent out of town traveler

Primary outcomes:
measure: Proportion of patients undergoing sleep study testing
timeFrame: Baseline
Secondary outcomes:
measure: CPAP Adherence downloads
timeFrame: Day 30, Day 90, and Day 180
Other outcomes:
measure: Functional Outcomes of Sleep Questionnaire (FOSQ)
timeFrame: Baseline, Day 90, and Day 180
measure: Epworth Sleepiness Scale
timeFrame: Baseline, Day 90, and Day 180
measure: Systolic Blood Pressure
timeFrame: Baseline, Day 90, and Day 180
measure: Diastolic blood pressure
timeFrame: Baseline, Day 90, and Day 180
measure: Body Mass Index (BMI)
timeFrame: Baseline, Day 90, and Day 180
Locations:
city: Tucson
country: United States
facility: University of Arizona
state: Arizona
Study officials:
References:
citation: Punjabi NM. The epidemiology of adult obstructive sleep apnea. Proc Am Thorac Soc. 2008 Feb 15;5(2):136-43. doi: 10.1513/pats.200709-155MG.
citation: Marin JM, Agusti A, Villar I, Forner M, Nieto D, Carrizo SJ, Barbe F, Vicente E, Wei Y, Nieto FJ, Jelic S. Association between treated and untreated obstructive sleep apnea and risk of hypertension. JAMA. 2012 May 23;307(20):2169-76. doi: 10.1001/jama.2012.3418.
citation: Peppard PE, Young T, Palta M, Skatrud J. Prospective study of the association between sleep-disordered breathing and hypertension. N Engl J Med. 2000 May 11;342(19):1378-84. doi: 10.1056/NEJM200005113421901.
citation: Nieto FJ, Young TB, Lind BK, Shahar E, Samet JM, Redline S, D'Agostino RB, Newman AB, Lebowitz MD, Pickering TG. Association of sleep-disordered breathing, sleep apnea, and hypertension in a large community-based study. Sleep Heart Health Study. JAMA. 2000 Apr 12;283(14):1829-36. doi: 10.1001/jama.283.14.1829.
citation: Peker Y, Carlson J, Hedner J. Increased incidence of coronary artery disease in sleep apnoea: a long-term follow-up. Eur Respir J. 2006 Sep;28(3):596-602. doi: 10.1183/09031936.06.00107805. Epub 2006 Apr 26.
citation: Leung RS, Bradley TD. Sleep apnea and cardiovascular disease. Am J Respir Crit Care Med. 2001 Dec 15;164(12):2147-65. doi: 10.1164/ajrccm.164.12.2107045. No abstract available.
citation: Yumino D, Wang H, Floras JS, Newton GE, Mak S, Ruttanaumpawan P, Parker JD, Bradley TD. Relationship between sleep apnoea and mortality in patients with ischaemic heart failure. Heart. 2009 May;95(10):819-24. doi: 10.1136/hrt.2008.160952. Epub 2009 Jan 8.
citation: Yaggi HK, Concato J, Kernan WN, Lichtman JH, Brass LM, Mohsenin V. Obstructive sleep apnea as a risk factor for stroke and death. N Engl J Med. 2005 Nov 10;353(19):2034-41. doi: 10.1056/NEJMoa043104.
citation: Weaver TE. Outcome measurement in sleep medicine practice and research. Part 1: assessment of symptoms, subjective and objective daytime sleepiness, health-related quality of life and functional status. Sleep Med Rev. 2001 Apr;5(2):103-128. doi: 10.1053/smrv.2001.0152.
citation: Punjabi NM, Caffo BS, Goodwin JL, Gottlieb DJ, Newman AB, O'Connor GT, Rapoport DM, Redline S, Resnick HE, Robbins JA, Shahar E, Unruh ML, Samet JM. Sleep-disordered breathing and mortality: a prospective cohort study. PLoS Med. 2009 Aug;6(8):e1000132. doi: 10.1371/journal.pmed.1000132. Epub 2009 Aug 18.
citation: Gami AS, Howard DE, Olson EJ, Somers VK. Day-night pattern of sudden death in obstructive sleep apnea. N Engl J Med. 2005 Mar 24;352(12):1206-14. doi: 10.1056/NEJMoa041832.
citation: Teran-Santos J, Jimenez-Gomez A, Cordero-Guevara J. The association between sleep apnea and the risk of traffic accidents. Cooperative Group Burgos-Santander. N Engl J Med. 1999 Mar 18;340(11):847-51. doi: 10.1056/NEJM199903183401104.
citation: Mulgrew AT, Nasvadi G, Butt A, Cheema R, Fox N, Fleetham JA, Ryan CF, Cooper P, Ayas NT. Risk and severity of motor vehicle crashes in patients with obstructive sleep apnoea/hypopnoea. Thorax. 2008 Jun;63(6):536-41. doi: 10.1136/thx.2007.085464. Epub 2008 Jan 30.
citation: Redline S, Yenokyan G, Gottlieb DJ, Shahar E, O'Connor GT, Resnick HE, Diener-West M, Sanders MH, Wolf PA, Geraghty EM, Ali T, Lebowitz M, Punjabi NM. Obstructive sleep apnea-hypopnea and incident stroke: the sleep heart health study. Am J Respir Crit Care Med. 2010 Jul 15;182(2):269-77. doi: 10.1164/rccm.200911-1746OC. Epub 2010 Mar 25.
citation: Rahaghi F, Basner RC. Delayed Diagnosis of Obstructive Sleep Apnea: Don't Ask, Don't Tell. Sleep Breath. 1999;3(4):119-124. doi: 10.1007/s11325-999-0119-z.
citation: Flygare J, Parthasarathy S. Narcolepsy: let the patient's voice awaken us! Am J Med. 2015 Jan;128(1):10-3. doi: 10.1016/j.amjmed.2014.05.037. Epub 2014 Jun 12.
citation: McEvoy RD, Antic NA, Heeley E, Luo Y, Ou Q, Zhang X, Mediano O, Chen R, Drager LF, Liu Z, Chen G, Du B, McArdle N, Mukherjee S, Tripathi M, Billot L, Li Q, Lorenzi-Filho G, Barbe F, Redline S, Wang J, Arima H, Neal B, White DP, Grunstein RR, Zhong N, Anderson CS; SAVE Investigators and Coordinators. CPAP for Prevention of Cardiovascular Events in Obstructive Sleep Apnea. N Engl J Med. 2016 Sep 8;375(10):919-31. doi: 10.1056/NEJMoa1606599. Epub 2016 Aug 28.
citation: Weaver TE, Grunstein RR. Adherence to continuous positive airway pressure therapy: the challenge to effective treatment. Proc Am Thorac Soc. 2008 Feb 15;5(2):173-8. doi: 10.1513/pats.200708-119MG.
citation: Martinez-Garcia MA, Campos-Rodriguez F, Catalan-Serra P, Soler-Cataluna JJ, Almeida-Gonzalez C, De la Cruz Moron I, Duran-Cantolla J, Montserrat JM. Cardiovascular mortality in obstructive sleep apnea in the elderly: role of long-term continuous positive airway pressure treatment: a prospective observational study. Am J Respir Crit Care Med. 2012 Nov 1;186(9):909-16. doi: 10.1164/rccm.201203-0448OC. Epub 2012 Sep 13.
citation: Marin JM, Carrizo SJ, Vicente E, Agusti AG. Long-term cardiovascular outcomes in men with obstructive sleep apnoea-hypopnoea with or without treatment with continuous positive airway pressure: an observational study. Lancet. 2005 Mar 19-25;365(9464):1046-53. doi: 10.1016/S0140-6736(05)71141-7.
citation: Javaheri S, Caref EB, Chen E, Tong KB, Abraham WT. Sleep apnea testing and outcomes in a large cohort of Medicare beneficiaries with newly diagnosed heart failure. Am J Respir Crit Care Med. 2011 Feb 15;183(4):539-46. doi: 10.1164/rccm.201003-0406OC. Epub 2010 Jul 23.
citation: Findley L, Smith C, Hooper J, Dineen M, Suratt PM. Treatment with nasal CPAP decreases automobile accidents in patients with sleep apnea. Am J Respir Crit Care Med. 2000 Mar;161(3 Pt 1):857-9. doi: 10.1164/ajrccm.161.3.9812154.
citation: Tregear S, Reston J, Schoelles K, Phillips B. Continuous positive airway pressure reduces risk of motor vehicle crash among drivers with obstructive sleep apnea: systematic review and meta-analysis. Sleep. 2010 Oct;33(10):1373-80. doi: 10.1093/sleep/33.10.1373.