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van der Kleij S, de Backer I, Hanraets B, Verbraecken J, Asin J. Effectiveness of remote monitoring in improving CPAP compliance and the impact of preexisting organisation of standard care: a randomised controlled trial. Sleep Breath 2024; 28:1715-1721. [PMID: 38755506 PMCID: PMC11303419 DOI: 10.1007/s11325-024-03042-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 02/11/2024] [Accepted: 04/24/2024] [Indexed: 05/18/2024]
Abstract
PURPOSE : Continuous positive airway pressure (CPAP) is often the treatment of choice for obstructive sleep apnea (OSA). Short-term adherence and early perceived benefits are the best predictors of long-term adherence. The aim of this study was to determine the effect of telemonitoring in the first period of treatment with CPAP (auto-titrating PAP) on compliance and the long-term outcome. METHODS Patients aged between 18-75 years old with symptomatic severe OSA (apnea-hypopnea index (AHI) ≥ 30) requiring CPAP therapy were included in this single-blind, single-centre, randomised, controlled trial. They were divided into 2 groups (telemonitored standard clinical care versus standard clinical care without telemonitoring). RESULTS A total of 230 patients (115 patients/group) were included (mean age 54 ± 16.6 years, BMI 32.6 ± 5.4 kg/m2, ESS 13.1 ± 6.2, AHI 47.5 ± 14.8/hr). At week 10 compliance was similar in both groups (telemonitoring vs control 6:27 and 6:35 h, respectively, p = 0.57), as were AHI (2.4; 2.4/hr, p = 0.89) and ESS (5.8; 4.9, p = 0.22). The number of contacts of a patient with a healthcare professional was significantly higher during the follow-up from week 3 until week 10 (0.25; 0.13, p = 0.03). The number of patients who could be evaluated after 1 year was equally distributed in both groups (104; 104, p = 1.00), as were compliance (6:43; 6:49 h, p = 0.59) and residual AHI (1.9; 2.2/hr, p = 0.41). CONCLUSIONS In patients with severe OSA with standard intensive follow-up during the initial weeks of CPAP therapy and good compliance, telemonitoring did not improve CPAP compliance nor the clinical outcome in the short or long term. The practical consequences can be highly relevant for patients and healthcare professionals.
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Affiliation(s)
- Stephan van der Kleij
- Department of Pulmonary Medicine, Centre for Sleep Medicine, Amphia Hospital, Postbus 90158, 4800 RK, Breda, The Netherlands.
- Centre for Home Ventilation, Erasmus MC, Postbus 2040, 3000 CA, Rotterdam, The Netherlands.
| | - Ingrid de Backer
- Department of Pulmonary Medicine, Centre for Sleep Medicine, Amphia Hospital, Postbus 90158, 4800 RK, Breda, The Netherlands
| | - Barbara Hanraets
- Department of Pulmonary Medicine, Centre for Sleep Medicine, Amphia Hospital, Postbus 90158, 4800 RK, Breda, The Netherlands
- Department of Pulmonary Medicine, Centre for Home Ventilation, UMC Utrecht, Utrecht, The Netherlands
| | - Johan Verbraecken
- Multidisciplinary Sleep Disorders Centre, Antwerp University Hospital and University of Antwerp, Edegem, Belgium
| | - Jerryll Asin
- Department of Pulmonary Medicine, Centre for Sleep Medicine, Amphia Hospital, Postbus 90158, 4800 RK, Breda, The Netherlands.
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Wolsing SK, Frølund JC, Dalgård C, Hilberg O, Gantzhorn E. Telephone follow-up as a substitute for standard out-clinic follow-up in CPAP therapy for obstructive sleep apnea patients: a randomized controlled trial. Sleep Breath 2024; 28:1651-1659. [PMID: 38720151 PMCID: PMC11303568 DOI: 10.1007/s11325-024-03045-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 03/29/2024] [Accepted: 04/26/2024] [Indexed: 08/07/2024]
Abstract
PURPOSE This study assessed the feasibility of telephone follow-up consultations (TC) using an online data sharing and editing function (Airview™), as alternative to standard out-clinic follow-up consultations (SC) on adherence to continuous positive airway pressure (CPAP) in obstructive sleep apnea (OSA) patients. Furthermore, we investigated compliance to follow-up consultations and examined potential influencing factors, including baseline AHI (apnea-hypopnea-index), age, and distance from home to the hospital on consultation compliance. METHODS Two hundred OSA patients, with AHI ≥ 5 were randomly assigned (1:1) to receive TC or SC with follow-up after one month and 12 month of CPAP initiation. Adherence goal was defined as achieving ≥ 4 h of CPAP use daily in 70% of the days in a 365-days period. RESULTS The proportion of participants achieving CPAP adherence was non-significantly lower in the TC group compared to the SC group (TC: 30% versus SC: 36%, adjusted OR 0.84, p = 0.59). Of participants who completed the study, the TC group had a significant average of 107 min less use of CPAP compared to the SC group (p = 0.048). However, a higher proportion of participants was compliant to consultations in the TC group. The only influencing factor found was increasing baseline AHI, which might be a predictor for compliance to consultations and adherence to CPAP therapy. CONCLUSION TC might serve as substitute for SC in some part of the OSA population. If TC becomes a part of CPAP therapy management, it is important to consider patient characteristics and treatment-related issues to prevent decline in adherence.
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Affiliation(s)
- Sofie Krogh Wolsing
- Department of Medicine, Lillebaelt Hospital, Vejle Hospital, University Hospital of Southern Denmark, Beriderbakken 4, 7100, Vejle, Denmark.
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark.
| | - Jannie Christina Frølund
- Department of Medicine, Lillebaelt Hospital, Vejle Hospital, University Hospital of Southern Denmark, Beriderbakken 4, 7100, Vejle, Denmark
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Christine Dalgård
- Research Unit of Clinical Pharmacology, Pharmacy and Environmental Medicine, University of Southern Denmark, Odense, Denmark
| | - Ole Hilberg
- Department of Medicine, Lillebaelt Hospital, Vejle Hospital, University Hospital of Southern Denmark, Beriderbakken 4, 7100, Vejle, Denmark
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Eline Gantzhorn
- Department of Medicine, Lillebaelt Hospital, Vejle Hospital, University Hospital of Southern Denmark, Beriderbakken 4, 7100, Vejle, Denmark
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Woehrle H, Schoebel C, Ficker JH, Graml A, Schnepf J, Fietze I, Young P, Arzt M. Positive airway pressure telehealth models and long-term therapy termination: a healthcare database analysis. ERJ Open Res 2024; 10:00424-2023. [PMID: 38410706 PMCID: PMC10895437 DOI: 10.1183/23120541.00424-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 11/21/2023] [Indexed: 02/28/2024] Open
Abstract
Background Telemonitoring-guided interventions can improve short-term positive airway pressure (PAP) therapy adherence, but long-term effects are unknown. This study investigated long-term PAP therapy termination in patients with sleep apnoea managed with standard care, telemonitoring-guided proactive care or telemonitoring-guided proactive care + patient engagement tool. Methods German healthcare provider data were analysed retrospectively. Individuals aged 18-100 years who started PAP from 2014 to 2019 and had device type/interface data were included. Time-to-termination periods were analysed using Kaplan-Meier plots and Cox proportional hazards regression, adjusted for age, sex, insurance type, and device and mask type. Results The per-protocol population (valid telemonitoring data) included 104 612 individuals (71% male; 95% aged >40 years). Mean follow-up was 3.3±2.0 years. The overall therapy termination rate was significantly lower in the telemonitoring-guided proactive care group versus standard care (20% versus 27%; p<0.001), and even lower in the telemonitoring-guided care + patient engagement tool group (11%; p<0.001 versus other treatment groups). Adjusted risk of therapy termination was lower versus standard care (hazard ratio 0.76, 95% confidence interval 0.74-0.78; and 0.41 (0.38-0.44) for telemonitoring-guided proactive care alone + patient engagement). Age <50 or >59 years and use of a nasal pillows or full-face mask were significant predictors of therapy termination; male sex, use of telemonitoring-guided proactive care (± patient engagement) and private insurance were significantly associated with lower therapy termination rates. Conclusions Use of telemonitoring-guided proactive care and a patient engagement tool was associated with lower rates of PAP therapy termination.
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Affiliation(s)
- Holger Woehrle
- Sleep and Ventilation Center Blaubeuren, Lung Center Ulm, Ulm, Germany
| | | | - Joachim H Ficker
- Department of Respiratory Medicine, Allergology and Sleep Medicine, General Hospital Nuernberg and Paracelsus Medical University, Nuernberg, Germany
| | - Andrea Graml
- ResMed Science Center, ResMed Germany, Martinsried, Germany
| | - Jürgen Schnepf
- ResMed Science Center, ResMed Germany, Martinsried, Germany
| | - Ingo Fietze
- Centre for Sleep Medicine, CCM-CC11, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Peter Young
- Department for Neurology, Medical Park, Bad Feilnbach, Germany
| | - Michael Arzt
- Department of Internal Medicine II, University Hospital Regensburg, Regensburg, Germany
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Correia S, Gonzalez M, Deger M, Pitts P. The Value of Implementing a Digital Approach in the Obstructive Sleep Apnoea Patient Pathway: A Spanish Example. OPEN RESPIRATORY ARCHIVES 2024; 6:100289. [PMID: 38225949 PMCID: PMC10788272 DOI: 10.1016/j.opresp.2023.100289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 11/02/2023] [Indexed: 01/17/2024] Open
Abstract
Introduction Continuous positive airway pressure (CPAP) is the gold standard therapy for obstructive sleep apnoea (OSA). However, non-adherence is common and costly. The COVID-19 pandemic required the use of novel solutions to ensure service provision and quality of care. This retrospective analysis determined the impact and value of a digital versus standard pathway for the management of OSA in Spain. Methods A time-driven activity-based costing approach was applied to OSA management over 1 year using a standard or digital pathway. The standard pathway included face-to-face appointments at the time of diagnosis, then after 1-3 months and every 6 months thereafter. The digital pathway had fewer face-to-face appointments and utilised telemonitoring. A cost analysis was performed to determine the per-patient cost per healthcare professional (HCP) for a digital pathway for therapy implementation and follow-up compared with the standard pathway. Results Compared with the standard pathway, the digital pathway decreased the waiting list time from 18 to 2 months, the overall pathway time from 12 to 6 months, HCP cost per patient from €95 to €85, and number of hospital appointments per patient from 6 to 3.1. Furthermore, CPAP device usage improved from 5.7 to 6.3 h/night and the proportion of individuals defined as adherent increased from 79% to 91%. Conclusions Implementation of digital processes using available technology reduced HCP time and costs, and improved adherence to CPAP in people with OSA. Greater utilisation of a digital pathway could improve access to therapy, allow personalised patient management, and facilitate better clinical outcomes.
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Affiliation(s)
| | - Monica Gonzalez
- Sleep and Ventilation Unit, Pneumology Department, Hospital Universitario Marqués de Valdecilla, Instituto de Investigación Marqués de Valdecilla, University of Cantabria, Santander, Spain
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Cistulli PA, Armitstead JP, Malhotra A, Yan Y, Vuong V, Sterling KL, Barrett MA, Nunez CM, Pépin JL, Benjafield AV. Relationship between Self-reported Sleepiness and Positive Airway Pressure Treatment Adherence in Obstructive Sleep Apnea. Ann Am Thorac Soc 2023; 20:1201-1209. [PMID: 37126852 PMCID: PMC10405605 DOI: 10.1513/annalsats.202206-482oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 05/01/2023] [Indexed: 05/03/2023] Open
Abstract
Rationale: Positive airway pressure (PAP) is the first-choice treatment for obstructive sleep apnea (OSA). However, its real-world effectiveness is often questioned because of usage issues. The relationship between patient sleepiness and PAP usage has been assessed in relatively small and selected populations within the research context. Objectives: To assess the impact of patient-reported sleep outcomes, particularly self-reported sleepiness and its change during therapy, on PAP usage in the real-world setting. Methods: Deidentified data for U.S.-based patients receiving PAP therapy were examined. Eligible patients were registered in the myAir app and provided self-reported sleepiness at baseline and after 7, 14, 21, and 28 days of PAP between November 2019 and April 2020. Results: A total of 95,397 registered patients met all eligibility criteria and were included in the analysis (mean age, 49.6 ± 13.0 yr; 61.6% male). Daytime sleepiness was the most common reason for PAP therapy initiation (57.1% of patients), and 42.2% of all patients had self-reported moderate to severe OSA. Self-reported sleepiness improved with PAP therapy in most patients over the assessment period, with 62.1% of patients reporting "no" or "slight" sleepiness at Day 28. There was a dose-dependent association between improvement in self-reported sleepiness at Day 28 and PAP usage, and this finding was maintained at Day 360. Self-reported sleepiness at Day 28 was associated with achieving U.S. Centers for Medicare & Medicaid Services compliance at 90 days (approximately 90% for those with no or slight sleepiness vs. <70% for those with residual very or extreme sleepiness); average daily PAP usage over 360 days was ⩾5.0 and ⩽3.7 hours, respectively, for those with no or slight versus very or extreme sleepiness. Conclusions: This study demonstrates the feasibility of capturing patient-reported outcomes via a digital platform. Patient-reported outcomes appear to be associated with PAP usage, especially self-reported sleepiness and its response to therapy. Capturing patient-reported outcomes using digital solutions during the course of treatment has the potential to enhance patient outcomes by providing actionable insights.
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Affiliation(s)
- Peter A. Cistulli
- Charles Perkins Centre, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- Department of Respiratory and Sleep Medicine, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | | | - Atul Malhotra
- University of California, San Diego, La Jolla, California
| | - Yang Yan
- ResMed Science Center, Singapore, Singapore
| | - Vy Vuong
- ResMed Science Center, San Francisco, California
| | | | | | | | - Jean-Louis Pépin
- HP2 Laboratory, University Grenoble Alpes, Inserm, CHU Grenoble Alpes, Grenoble, France
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Hahn Z, Hotchkiss J, Atwood C, Smith C, Totten A, Boudreau E, Folmer R, Chilakamarri P, Whooley M, Sarmiento K. Travel Burden as a Measure of Healthcare Access and the Impact of Telehealth within the Veterans Health Administration. J Gen Intern Med 2023:10.1007/s11606-023-08125-3. [PMID: 37340257 DOI: 10.1007/s11606-023-08125-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 02/24/2023] [Indexed: 06/22/2023]
Abstract
BACKGROUND Travel is a major barrier to healthcare access for Veteran Affairs (VA) patients, and disproportionately affects rural Veterans (approximately one quarter of Veterans). The CHOICE/MISSION acts' intent is to increase timeliness of care and decrease travel, although not clearly demonstrated. The impact on outcomes remains unclear. Increased community care increases VA costs and increases care fragmentation. Retaining Veterans within the VA is a high priority, and reduction of travel burdens will help achieve this goal. Sleep medicine is presented as a use case to quantify travel related barriers. OBJECTIVE The Observed and Excess Travel Distances are proposed as two measures of healthcare access, allowing for quantification of healthcare delivery related to travel burden. A telehealth initiative that reduced travel burden is presented. DESIGN Retrospective, observational, utilizing administrative data. SUBJECTS VA patients with sleep related care between 2017 and 2021. In-person encounters: Office visits and polysomnograms; telehealth encounters: virtual visits and home sleep apnea tests (HSAT). MAIN MEASURES Observed distance: distance between Veteran's home and treating VA facility. Excess distance: difference between where Veteran received care and nearest VA facility offering the service of interest. Avoided distance: distance between Veteran's home and nearest VA facility offering in-person equivalent of telehealth service. KEY RESULTS In-person encounters peaked between 2018 and 2019, and have down trended since, while telehealth encounters have increased. During the 5-year period, Veterans traveled an excess 14.1 million miles, while 10.9 million miles of travel were avoided due to telehealth encounters, and 48.4 million miles were avoided due to HSAT devices. CONCLUSIONS Veterans often experience a substantial travel burden when seeking medical care. Observed and excess travel distances are valuable measures to quantify this major healthcare access barrier. These measures allow for assessment of novel healthcare approaches to improve Veteran healthcare access and identify specific regions that may benefit from additional resources.
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Affiliation(s)
- Zachary Hahn
- Togus VA Medical Center, 1 VA Ctr, Augusta, ME, 04330, USA.
| | | | | | - Connor Smith
- Portland VA Medical Center, Portland, OR, USA
- Oregon Health and Science University, Portland, OR, USA
| | | | - Eilis Boudreau
- Portland VA Medical Center, Portland, OR, USA
- Oregon Health and Science University, Portland, OR, USA
| | - Robert Folmer
- Portland VA Medical Center, Portland, OR, USA
- Oregon Health and Science University, Portland, OR, USA
| | | | - Mary Whooley
- San Francisco VA Medical Center, San Francisco, CA, USA
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Haldar A, Halder AC, Maity S. A panoramic view of a cohort of obstructive sleep apnea patients on positive airway pressure therapy using cloud based telemonitoring devices. Lung India 2023; 40:205-209. [PMID: 37148016 PMCID: PMC10298814 DOI: 10.4103/lungindia.lungindia_531_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 01/30/2023] [Accepted: 02/17/2023] [Indexed: 05/07/2023] Open
Abstract
Background Positive airway pressure therapy is mainstay of treatment of obstructive sleep apnea (OSA). But long-term compliance with is poor with such therapy. A proactive and vigilant management may improve the PAP therapy usage. Cloud-based telemonitoring PAP devices offer an opportunity for proactive monitoring and prompt interventions related to PAP troubleshooting. This technology is also used in India for adult OSA patients. But we lack our own data on behavior of Indian patients as a cohort on PAP therapy. The present study is an attempt to look at the behavior a cohort of PAP users in OSA. Methodology This study was planned as a retrospective analysis of data of OSA patients who were using a cloud-based PAP devices. First 100 patients were chosen for data retrieval that who was on this therapy. The data was obtained for those patients who were on PAP for at least 7 days and maximum follow-up was available up to 390 days. Descriptive statistical analysis has been carried out in the present study. Results The number of male and female patients was 75 and 25, respectively. Overall good compliance was present in 66% of patients. 34% of patients were not compliant with PAP during follow-up. The compliance was statistically same in both the sexes (P = 0.8088). Incomplete data recovery was present in 17 patients and 11 (64.70%) were non-compliant among them. In the initial, 60 days non-compliant patients were more than compliant patients. The difference was lost in 60 to 90 days of use. The air leak was present more in the compliant group than non-compliant group (P = 0.0239). 75.75% of compliant patients had achieved AHI control, whereas 35.29% of non-compliant patients also achieved AHI control. But overall, AHI control was poor in non-compliant patients and 61.76% of non-compliant patients had an AHI uncontrolled. Conclusions We conclude that 3/4th of the compliant patients achieve AHI control while 1/4th didn't. This 1/4th population needs further exploration to determine the causes of poor AHI control. Cloud-based PAP devices give an easy opportunity to monitor patients of OSA. It gives an instant panoramic view of behavior of OSA patients on PAP therapy. The compliant patients can be tracked, and non-compliant patients can be segregated quickly.
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Affiliation(s)
- Arup Haldar
- Department of Respiratory Medicine, (TB and Respiratory Diseases), Consultant Pulmonologist, Institute of Sleep Sciences, Kolkata, West Bengal, India
| | - Arpita C Halder
- Department of Anatomy, Tamrolipto Government Medical College, Tamluk, East Medinipur, West Bengal, India
| | - Somnath Maity
- Department of Respiratory Medicine, Chief Technician, Institute of Sleep Sciences, Kolkata, West Bengal, India
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Thong BKS, Loh GXY, Lim JJ, Lee CJL, Ting SN, Li HP, Li QY. Telehealth Technology Application in Enhancing Continuous Positive Airway Pressure Adherence in Obstructive Sleep Apnea Patients: A Review of Current Evidence. Front Med (Lausanne) 2022; 9:877765. [PMID: 35592853 PMCID: PMC9110793 DOI: 10.3389/fmed.2022.877765] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 04/05/2022] [Indexed: 11/13/2022] Open
Abstract
Obstructive sleep apnea (OSA) is a common type of sleep-disordered breathing associated with multiple comorbidities. Continuous positive airway pressure (CPAP) is the first choice for moderate-severe OSA but poor compliance brings a great challenge to its effectiveness. Telehealth interventions ease the follow-up process and allow healthcare facilities to provide consistent care. Fifth-generation wireless transmission technology has also greatly rationalized the wide use of telemedicine. Herein, we review the efficacy of the telehealth system in enhancing CPAP adherence. We recommend applying telemonitoring in clinical practice and advocate the development of a biopsychosocial telemedicine model with the integration of several interventions. Big databases and promising artificial intelligent technologies make clinical decision support systems and predictive models based on these databases possible.
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Affiliation(s)
- Benjamin Ka Seng Thong
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Grace Xin Yun Loh
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jia Jan Lim
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Christina Jia Liang Lee
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shu Ning Ting
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong Peng Li
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qing Yun Li
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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9
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Dietz-Terjung S, Große-Suntrup M, Schöbel C. Adherence Monitoring Using Telemonitoring Techniques. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2022; 1384:331-337. [PMID: 36217093 DOI: 10.1007/978-3-031-06413-5_19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Telemonitoring is a frequently used tool in the long-term management of many chronic diseases, such as chronic obstructive pulmonary disease or chronic heart failure. The use of new sensors and telemedical tools will shape medical practice in the future, particularly in sleep medicine. During the last decades, the number of people with sleep disordered breathing has been increasing.Telemedicine (TM) approaches could be used in various ways in sleep medicine: telediagnostics, teleconsultation, teletherapy, and telemonitoring of patients being treated with positive pressure devices.This chapter aims to summarize the recent scientific progresses of these techniques as well as their potential clinical applications and tries to give consideration to the remaining problems with TM applications.
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Affiliation(s)
- Sarah Dietz-Terjung
- University Medicine Essen, Ruhrlandklinik - West German Lung Center, Center for Sleep- and Telemedicine, Essen, Germany
| | - Martina Große-Suntrup
- University Medicine Essen, Ruhrlandklinik - West German Lung Center, Center for Sleep- and Telemedicine, Essen, Germany
| | - Christoph Schöbel
- University Medicine Essen, Ruhrlandklinik - West German Lung Center, Center for Sleep- and Telemedicine, Essen, Germany.
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Abstract
PURPOSE OF REVIEW The COVID-19 pandemic has clearly demonstrated that the technological progress in digitization is also essential for the medical sector. In the field of sleep-disordered breathing, the novel eHealth methods already do offer smart solutions for currently insufficiently addressed problems. RECENT FINDINGS In general, the potential of telemedicine tools can be focused on three basic aspects: interaction between clinicians, interaction between clinician and patient, and interaction between patient and the mobile health technology. The pandemic situation resulted in a rapid development of reimbursement for telehealth services. In recent years, evidence on the positive benefits of using telemedicine-based support as part of respiratory therapy follow-up is increasing. It is important to consider patient groups, telemedicine methodology, type of intervention, and targeting criteria in all studies conducted. SUMMARY Given the scarcity of resources for leading common diseases, we must keep an eye on the new digitization concepts in respiratory medicine care. It must be implemented precisely, cost-effectively, and also more connecting between sectors and disciplines and at eye level with our patients. By means of patient engagement systems, an important part of modern precision medicine can be established. Digital support systems are valuable for supporting medical staff. They are not meant to replace medical staff but to facilitate their work and improve its quality.
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Penzel T, Dietz-Terjung S, Woehrle H, Schöbel C. New Paths in Respiratory Sleep Medicine: Consumer Devices, e-Health, and Digital Health Measurements. Sleep Med Clin 2021; 16:619-634. [PMID: 34711386 DOI: 10.1016/j.jsmc.2021.08.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Sleep health and tracking sleep with contemporary wearables have become more popular. Sleep disorders, in particular, sleep-disordered breathing, have a higher prevalence than estimated previously. Many patients with apnea and hypopnea events suffer whereas others do not report complaints or show cardiovascular consequences. Assessment with wearables may support efforts to distinguish which type of apnea is related to aging and which to cardiovascular comorbidities. Innovative methods offer smart solutions for problems that are insufficiently addressed. Telemedical concepts help bring patients to sleep medicine expertise at an early stage. To use these methods clinically, they must be certified as medical devices.
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Affiliation(s)
- Thomas Penzel
- Interdisciplinary Sleep Medicine Center, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany; Department of Biology, Saratov State University, Astrakhanskaya Str. 12, Saratov 410012, Russia.
| | - Sarah Dietz-Terjung
- Universitätsmedizin Essen, Ruhrlandklinik, Westdeutsches Lungenzentrum am Universitätsklinikum Essen gGmbH, Tüschener Weg 40, 45239 Essen, Germany
| | | | - Christoph Schöbel
- Universitätsmedizin Essen, Ruhrlandklinik, Westdeutsches Lungenzentrum am Universitätsklinikum Essen gGmbH, Tüschener Weg 40, 45239 Essen, Germany
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Abstract
New trends in sleep medicine make use of the increased computational power of digital transformation. A current trend toward fewer sensors on the body of the sleeper and to more data processing from derived signals is observed. Telemedicine technologies are used for data transmission and for better patient management in terms of diagnosis and in terms of treatment of chronic conditions.
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Abstract
Interest in telemedicine has increased exponentially. There is a growing body of published evidence on the use of telemedicine for patients using continuous positive airway pressure. Telemedicine-ready devices can support the transmission on use time, apnea-hypopnea index, and leakage. This approach enables early activation of troubleshooting. Automated, personalized feedback for patients and patient access to their own data provide unprecedented opportunities for integrating comanagement approaches, multiactor interactions, and patient empowerment. Telemedicine is likely cost effective, but requires better evidence. Notwithstanding barriers for implementation that remain, telemedicine has to be embraced, leaving the physician and patient to accept it or not.
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Affiliation(s)
- Johan Verbraecken
- Department of Pulmonary Medicine and Multidisciplinary Sleep Disorders Centre, Antwerp University Hospital, University of Antwerp, Drie Eikenstraat 655, Edegem, Antwerp 2650, Belgium.
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Affiliation(s)
| | - Christoph Schöbel
- Zentrum für Schlaf- und Telemedizin, Ruhrlandklinik, Tüschener Weg 40, 45239 Essen, Deutschland
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Positive Airway Pressure Therapy Adherence with Mask Resupply: A Propensity-Matched Analysis. J Clin Med 2021; 10:jcm10040720. [PMID: 33673066 PMCID: PMC7917762 DOI: 10.3390/jcm10040720] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 02/03/2021] [Accepted: 02/05/2021] [Indexed: 12/31/2022] Open
Abstract
There are currently few data on the impact of mask resupply on longer-term adherence to positive airway pressure (PAP) therapy. This retrospective analysis investigated the effects of mask/mask cushion resupply on the adherence to PAP versus no resupply. Deidentified patient billing data for PAP supply items were merged with telemonitoring data from Cloud-connected AirSense 10/AirCurve 10 devices via AirViewTM (ResMed). Eligible patients started PAP between 1 July 2014 and 17 June 2016, had ≥360 days of PAP device data, and achieved initial U.S. Medicare adherence criteria. Patients who received a resupply of mask systems/cushions (resupply group) were propensity-score-matched with those not receiving any mask/cushion resupply (control group). A total of 100,370 patients were included. From days 91 to 360, the mean device usage was 5.6 and 4.5 h/night in the resupply and control groups, respectively (p < 0.0001). The proportion of patients with a mean device usage ≥4 h/night was significantly higher in the resupply group versus the control group (77% vs. 59%; p < 0.0001). The therapy termination rate was significantly lower in the resupply group versus the control group (14.7% vs. 31.9%; p < 0.0001); there was a trend toward lower therapy termination rates as the number of resupplies increased. The replacement of mask interface components was associated with better longer-term adherence to PAP therapy versus no resupply.
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Watach AJ, Hwang D, Sawyer AM. Personalized and Patient-Centered Strategies to Improve Positive Airway Pressure Adherence in Patients with Obstructive Sleep Apnea. Patient Prefer Adherence 2021; 15:1557-1570. [PMID: 34285474 PMCID: PMC8286071 DOI: 10.2147/ppa.s264927] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 06/23/2021] [Indexed: 12/12/2022] Open
Abstract
Obstructive sleep apnea (OSA), a common sleep disorder characterized by repeated pauses in breathing during sleep, is effectively treated with positive airway pressure (PAP) therapy. The magnitude of improvements in daily functioning and reduced negative health risks are dependent on maintaining PAP adherence, which is a significant challenge. Evidence-based interventions to improve PAP use are not easily translated to clinical practice because they are labor-intensive and require specialty expertise. Further, to date, individualized care, inclusive of personalized medicine and patient- and person-centered care have been marginally incorporated in the field's understanding of OSA and PAP adherence. This integrative review describes current PAP adherence assessment processes, interventions to improve adherence, and outlines future opportunities to advance the field, particularly as it relates to individualizing care and the use of implementation science to apply evidence to practice.
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Affiliation(s)
- Alexa J Watach
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- School of Nursing, University of Pennsylvania, Philadelphia, PA, USA
- Correspondence: Alexa J Watach University of Pennsylvania, School of Nursing, Claire Fagin Hall, Rm 349, 418 Curie Blvd, Philadelphia, PA, 19104, USATel +1-717-599-9908 Email
| | - Dennis Hwang
- Kaiser Permanente Southern California, Sleep Medicine and Department of Research and Evaluation, Fontana, CA, USA
| | - Amy M Sawyer
- School of Nursing, University of Pennsylvania, Philadelphia, PA, USA
- Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
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Kolb L, Arzt M, Stadler S, Heider K, Maier LS, Malfertheiner M. Adaptive servo-ventilation in patients with chronic heart failure and sleep disordered breathing: predictors of usage. Sleep Breath 2020; 25:1135-1145. [PMID: 32880808 PMCID: PMC8195885 DOI: 10.1007/s11325-020-02182-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 07/10/2020] [Accepted: 08/21/2020] [Indexed: 11/24/2022]
Abstract
PURPOSE Adaptive servo-ventilation (ASV) is a therapy designed for patients with central sleep apnea (CSA) and Cheyne Stokes respiration. The aim of this study was to find predictors of ASV usage in patients with CSA in a routine sleep clinic cohort. METHODS In this retrospective study, consecutive patients in whom ASV therapy was initiated at the University Hospital Regensburg between 2011 and 2015, were analyzed. Analysis included polysomnographies of diagnostic and ASV initiation nights, a phone questionnaire on ASV usage, readout of the ASV device 1 month after initiation ("early ASV usage," 1 month after ASV initiation), and the readout of the last month before a reappointment date set in 2015 ("late ASV usage," median 17 months after ASV initiation). RESULTS In 69 consecutive patients, the mean early and late ASV usage per night was 4.8 ± 2.5 h and 4.1 ± 3.0 h, respectively. Seventeen months after initiation, 57% of patients used the device ≥ 4 h per night, and of those 91% reported a subjective benefit from ASV therapy. Early ASV usage was significantly associated with late ASV usage (univariable regression: Beta 0.8, 95%CI [0.6; 1.0] p < 0.001). In multivariable regression analysis, short duration of slow wave sleep (N3) during diagnostic polysomnography (Beta - 6.2, 95%CI [- 11.0; - 1.5]; p = 0.011) and subjective benefit from ASV (Beta 174.0, 95%CI [68.6; 279.5]; p = 0.002) were significantly associated with longer late ASV usage. CONCLUSION Early ASV usage predicts late ASV usage. In addition, low slow wave sleep before ASV initiation and subjective benefit from ASV may contribute to higher late ASV usage.
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Affiliation(s)
- Leonie Kolb
- Department of Internal Medicine II, Cardiology and Pneumology, Center for Sleep Medicine, University Medical Center Regensburg, Regensburg, Germany
| | - Michael Arzt
- Department of Internal Medicine II, Cardiology and Pneumology, Center for Sleep Medicine, University Medical Center Regensburg, Regensburg, Germany.
| | - Stefan Stadler
- Department of Internal Medicine II, Cardiology and Pneumology, Center for Sleep Medicine, University Medical Center Regensburg, Regensburg, Germany
| | - Katharina Heider
- Department of Internal Medicine II, Cardiology and Pneumology, Center for Sleep Medicine, University Medical Center Regensburg, Regensburg, Germany
| | - Lars S Maier
- Department of Internal Medicine II, Cardiology and Pneumology, Center for Sleep Medicine, University Medical Center Regensburg, Regensburg, Germany
| | - Maximilian Malfertheiner
- Department of Internal Medicine II, Cardiology and Pneumology, Center for Sleep Medicine, University Medical Center Regensburg, Regensburg, Germany
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Digitale respiratorische Schlafmedizin – Teil II: Therapie. SOMNOLOGIE 2020. [DOI: 10.1007/s11818-020-00263-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Rattray NA, Khaw A, McGrath M, Damush TM, Miech EJ, Lenet A, Stahl S, Ferguson J, Myers J, Guenther D, Homoya BJ, Bravata DM. Evaluating the feasibility of implementing a Telesleep pilot program using two-tiered external facilitation. BMC Health Serv Res 2020; 20:357. [PMID: 32336284 PMCID: PMC7183618 DOI: 10.1186/s12913-020-05164-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2019] [Accepted: 03/26/2020] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Obstructive sleep apnea (OSA) can negatively impact patients' health status and outcomes. Positive airway pressure (PAP) reverses airway obstruction and may reduce the risk of adverse outcomes. Remote monitoring of PAP (as opposed to in-person visits) may improve access to sleep medicine services. This study aimed to evaluate the feasibility of implementing a clinical program that delivers treatment for OSA through PAP remote monitoring using external facilitation as an implementation strategy. METHODS Participants included patients with OSA at a Veteran Affairs Medical Center (VAMC). PAP adherence and clinical disease severity on treatment (measured by the apnea hypopnea index [AHI]) were the preliminary effectiveness outcomes across two delivery models: usual care (in-person) and Telehealth nurse-delivered remote monitoring. We also assessed visit duration and travel distance. A prospective, mixed-methods evaluation examined the two-tiered external facilitation implementation strategy. RESULTS The pilot project included N = 52 usual care patients and N = 38 Telehealth nurse-delivered remote monitoring patients. PAP adherence and disease severity were similar across the delivery modalities. However, remote monitoring visits were 50% shorter than in-person visits and saved a mean of 72 miles of travel (median = 45.6, SD = 59.0, mode = 17.8, range 5.4-220). A total of 62 interviews were conducted during implementation with a purposive sample of 12 clinical staff involved in program implementation. Weekly external facilitation delivered to both front-line staff and supervisory physicians was necessary to ensure patient enrollment and treatment. Synchronized, "two-tiered" facilitation at the executive and coordinator levels proved crucial to developing the clinical and administrative infrastructure to support a PAP remote monitoring program and to overcome implementation barriers. CONCLUSIONS Remote PAP monitoring had similar efficacy to in-person PAP services in this Veteran population. Although external facilitation is a widely-recognized implementation strategy in quality improvement projects, less is known about how multiple facilitators work together to help implement complex programs. Two-tiered facilitation offers a model well-suited to programs where innovations span disciplines, disrupt professional hierarchies (such as those between service chiefs, clinicians, and technicians) and bring together providers who do not know each other, yet must collaborate to improve access to care.
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Affiliation(s)
- Nicholas A. Rattray
- grid.280828.80000 0000 9681 3540VA Health Services Research & Development Center for Health Information and Communication (CHIC), Veterans Health Indiana, Roudebush VAMC, Indianapolis, Indiana USA ,grid.448342.d0000 0001 2287 2027William M. Tierney Center for Health Services Research, Regenstrief Institute, Inc., Indianapolis, Indiana USA ,VA Precision Monitoring (PRIS-M) QUERI, Veterans Health Indiana, Indianapolis, Indiana USA ,grid.257413.60000 0001 2287 3919Department of Anthropology, Indiana University-Purdue University, Indianapolis, Indiana USA ,grid.257413.60000 0001 2287 3919Indiana University School of Medicine, Indianapolis, Indiana USA
| | - Andrew Khaw
- grid.257413.60000 0001 2287 3919Indiana University School of Medicine, Indianapolis, Indiana USA
| | - Mackenzie McGrath
- grid.257413.60000 0001 2287 3919Indiana University School of Medicine, Indianapolis, Indiana USA
| | - Teresa M. Damush
- grid.280828.80000 0000 9681 3540VA Health Services Research & Development Center for Health Information and Communication (CHIC), Veterans Health Indiana, Roudebush VAMC, Indianapolis, Indiana USA ,grid.448342.d0000 0001 2287 2027William M. Tierney Center for Health Services Research, Regenstrief Institute, Inc., Indianapolis, Indiana USA ,VA Precision Monitoring (PRIS-M) QUERI, Veterans Health Indiana, Indianapolis, Indiana USA ,grid.257413.60000 0001 2287 3919Indiana University School of Medicine, Indianapolis, Indiana USA
| | - Edward J. Miech
- grid.280828.80000 0000 9681 3540VA Health Services Research & Development Center for Health Information and Communication (CHIC), Veterans Health Indiana, Roudebush VAMC, Indianapolis, Indiana USA ,grid.448342.d0000 0001 2287 2027William M. Tierney Center for Health Services Research, Regenstrief Institute, Inc., Indianapolis, Indiana USA ,VA Precision Monitoring (PRIS-M) QUERI, Veterans Health Indiana, Indianapolis, Indiana USA ,grid.257413.60000 0001 2287 3919Indiana University School of Medicine, Indianapolis, Indiana USA
| | - Adam Lenet
- Internal Medicine and Sleep Services, Veterans Health Indiana, Indianapolis, IN USA
| | - Stephanie Stahl
- Internal Medicine and Sleep Services, Veterans Health Indiana, Indianapolis, IN USA ,grid.257413.60000 0001 2287 3919Department of Neurology, Indiana University School of Medicine, Indianapolis, IN USA
| | - Jared Ferguson
- grid.280828.80000 0000 9681 3540VA Health Services Research & Development Center for Health Information and Communication (CHIC), Veterans Health Indiana, Roudebush VAMC, Indianapolis, Indiana USA ,VA Precision Monitoring (PRIS-M) QUERI, Veterans Health Indiana, Indianapolis, Indiana USA
| | - Jennifer Myers
- grid.280828.80000 0000 9681 3540VA Health Services Research & Development Center for Health Information and Communication (CHIC), Veterans Health Indiana, Roudebush VAMC, Indianapolis, Indiana USA ,VA Precision Monitoring (PRIS-M) QUERI, Veterans Health Indiana, Indianapolis, Indiana USA
| | - David Guenther
- Nursing Service, Veterans Health Indiana, Indianapolis, IN USA
| | - Barbara J. Homoya
- grid.280828.80000 0000 9681 3540VA Health Services Research & Development Center for Health Information and Communication (CHIC), Veterans Health Indiana, Roudebush VAMC, Indianapolis, Indiana USA ,VA Precision Monitoring (PRIS-M) QUERI, Veterans Health Indiana, Indianapolis, Indiana USA
| | - Dawn M. Bravata
- grid.280828.80000 0000 9681 3540VA Health Services Research & Development Center for Health Information and Communication (CHIC), Veterans Health Indiana, Roudebush VAMC, Indianapolis, Indiana USA ,grid.448342.d0000 0001 2287 2027William M. Tierney Center for Health Services Research, Regenstrief Institute, Inc., Indianapolis, Indiana USA ,VA Precision Monitoring (PRIS-M) QUERI, Veterans Health Indiana, Indianapolis, Indiana USA ,grid.257413.60000 0001 2287 3919Department of Internal Medicine and Geriatrics, Indiana University School of Medicine, Indianapolis, Indiana USA
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A novel minimal-contact biomotion method for long-term respiratory rate monitoring. Sleep Breath 2020; 25:145-149. [PMID: 32297144 DOI: 10.1007/s11325-020-02067-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 03/05/2020] [Accepted: 03/19/2020] [Indexed: 10/24/2022]
Abstract
PURPOSE In this study, we assessed the diagnostic accuracy of the device VitaLog (SWG Sportwerk GmbH & Co. KG, Dortmund, Germany) for estimation of respiratory rate (RR) variability. METHODS VitaLog is a minimal-contact biomotion device that is placed under the mattress topper. It senses respiratory effort and body movement using a piezoelectric sensor. Diagnostic accuracy was determined in 103 patients referred to our sleep laboratory for suspected sleep-disordered breathing (SDB). SDB was defined by AHI ≥ 15/h. Results provided by VitaLog were compared with nasal flow measurement obtained by polysomnography (PSG). RESULTS Diagnostic accuracy of VitaLog was excellent. We obtained a correlation of r = 0.99 and a bias of 0.2 cycles per minute (cpm) between VitaLog and PSG-provided nasal flow. Detection RR variability worked nearly identically in patients with and without SDB. CONCLUSION VitaLog is an appropriate method for determination of RR variability based on a minimal-contact biomotion sensor. This device is easy to handle, available at low cost, and suitable for long-term monitoring in the hospital or at home.
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Kotzian ST, Saletu MT, Schwarzinger A, Haider S, Spatt J, Kranz G, Saletu B. Proactive telemedicine monitoring of sleep apnea treatment improves adherence in people with stroke– a randomized controlled trial (HOPES study). Sleep Med 2019; 64:48-55. [DOI: 10.1016/j.sleep.2019.06.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Revised: 05/13/2019] [Accepted: 06/05/2019] [Indexed: 10/26/2022]
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Sarmiento KF, Folmer RL, Stepnowsky CJ, Whooley MA, Boudreau EA, Kuna ST, Atwood CW, Smith CJ, Yarbrough WC. National Expansion of Sleep Telemedicine for Veterans: The TeleSleep Program. J Clin Sleep Med 2019; 15:1355-1364. [PMID: 31538607 PMCID: PMC6760390 DOI: 10.5664/jcsm.7934] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2019] [Revised: 06/01/2019] [Accepted: 06/03/2019] [Indexed: 12/18/2022]
Abstract
STUDY OBJECTIVES (1) Review the prevalence and comorbidity of sleep disorders among United States military personnel and veterans. (2) Describe the status of sleep care services at Veterans Health Administration (VHA) facilities. (3) Characterize the demand for sleep care among veterans and the availability of sleep care across the VHA. (4) Describe the VA TeleSleep Program that was developed to address this demand. METHODS PubMed and Medline databases (National Center for Biotechnology Information, United States National Library of Medicine) were searched for terms related to sleep disorders and sleep care in United States military and veteran populations. Information related to the status of sleep care services at VHA facilities was provided by clinical staff members at each location. Additional data were obtained from the VA Corporate Data Warehouse. RESULTS Among United States military personnel, medical encounters for insomnia increased 372% between 2005-2014; encounters for obstructive sleep apnea (OSA) increased 517% during the same period. The age-adjusted prevalence of sleep disorder diagnoses among veterans increased nearly 6-fold between 2000-2010; the prevalence of OSA more than doubled in this population from 2005-2014. CONCLUSIONS Most VA sleep programs are understaffed for their workload and have lengthy wait times for appointments. The VA Office of Rural Health determined that the dilemma of limited VHA sleep health care availability and accessibility might be solved, at least in part, by implementing a comprehensive telehealth program in VA medical facilities. The VA TeleSleep Program is an expansion of telemedicine services to address this need, especially for veterans in rural or remote regions. CITATION Sarmiento KF, Folmer RL, Stepnowsky CJ, Whooley MA, Boudreau EA, Kuna ST, Atwood CW, Smith CJ, Yarbrough WC. National expansion of sleep telemedicine for veterans: the telesleep program. J Clin Sleep Med. 2019;15(9):1355-1364.
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Affiliation(s)
- Kathleen F Sarmiento
- San Francisco VA Healthcare System, San Francisco, California
- Department of Medicine, University of California, San Francisco, California
| | - Robert L Folmer
- VA Portland Healthcare System, Portland, Oregon
- Department of Otolaryngology, Oregon Health & Science University, Portland, Oregon
| | - Carl J Stepnowsky
- VA San Diego Healthcare System, San Diego, California
- Department of Medicine, University of California San Diego, La Jolla, California
| | - Mary A Whooley
- San Francisco VA Healthcare System, San Francisco, California
- Department of Medicine, University of California, San Francisco, California
| | - Eilis A Boudreau
- VA Portland Healthcare System, Portland, Oregon
- Department of Neurology, Oregon Health & Science University, Portland, Oregon
| | - Samuel T Kuna
- Philadelphia VA Medical Center, Philadelphia, Pennsylvania
- Division of Sleep Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Center for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Charles W Atwood
- VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
- Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Connor J Smith
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon
| | - W Claibe Yarbrough
- Dallas VA Medical Center, Dallas, Texas
- Department of Medicine, UT Southwestern School of Medicine, Dallas, Texas
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Linz D, Baumert M, Desteghe L, Kadhim K, Vernooy K, Kalman JM, Dobrev D, Arzt M, Sastry M, Crijns HJ, Schotten U, Cowie MR, McEvoy RD, Heidbuchel H, Hendriks J, Sanders P, Lau DH. Nightly sleep apnea severity in patients with atrial fibrillation: Potential applications of long-term sleep apnea monitoring. IJC HEART & VASCULATURE 2019; 24:100424. [PMID: 31763438 PMCID: PMC6859526 DOI: 10.1016/j.ijcha.2019.100424] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
In patients with atrial fibrillation (AF), the prevalence of moderate-to-severe sleep-disordered breathing (SDB) ranges between 21% and 72% and observational studies have demonstrated that SDB reduces the efficacy of rhythm control strategies, while treatment with continuous positive airway pressure lowers the rate of AF recurrence. Currently, the number of apneas and hypopneas per hour (apnea-hypopnea-index, AHI) determined during a single overnight sleep study is clinically used to assess the severity of SDB. However, recent studies suggest that SDB-severity in an individual patient is not stable over time but exhibits a considerable night-to-night variability which cannot be detected by only one overnight sleep assessment. Nightly SDB-severity assessment rather than the single-night diagnosis by one overnight sleep study may better reflect the exposure to SDB-related factors and yield a superior metric to determine SDB-severity in the management of AF. In this review we discuss mechanisms of night-to-night SDB variability, arrhythmogenic consequences of night-to-night SDB variability, strategies for longitudinal assessment of nightly SDB-severity and clinical implications for screening and management of SDB in AF patients.
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Affiliation(s)
- Dominik Linz
- Centre for Heart Rhythm Disorders (CHRD), South Australian Health and Medical Research Institute (SAHMRI), University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia
- Department of Cardiology, Maastricht University Medical Centre, Maastricht, the Netherlands
- Department of Cardiology, Radboud University Medical Centre, Nijmegen, the Netherlands
- University Maastricht, Cardiovascular Research Institute Maastricht (CARIM), the Netherlands
| | - Mathias Baumert
- University of Adelaide, School of Electrical and Electronic Engineering, Adelaide, Australia
| | - Lien Desteghe
- Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
- Heart Centre Hasselt, Jessa Hospital, Hasselt, Belgium
| | - Kadhim Kadhim
- Centre for Heart Rhythm Disorders (CHRD), South Australian Health and Medical Research Institute (SAHMRI), University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia
| | - Kevin Vernooy
- Department of Cardiology, Maastricht University Medical Centre, Maastricht, the Netherlands
- Department of Cardiology, Radboud University Medical Centre, Nijmegen, the Netherlands
- University Maastricht, Cardiovascular Research Institute Maastricht (CARIM), the Netherlands
| | - Jonathan M. Kalman
- Department of Cardiology, Royal Melbourne Hospital and Department of Medicine, University of Melbourne, Melbourne, Australia
| | - Dobromir Dobrev
- Institute of Pharmacology, West German Heart and Vascular Centre, University Duisburg-Essen, Essen, Germany
| | - Michael Arzt
- Department of Internal Medicine II, University Medical Centre Regensburg, Regensburg, Germany
| | - Manu Sastry
- Academic Sleep Centre (CIRO+), Horn, the Netherlands
| | - Harry J.G.M. Crijns
- Department of Cardiology, Maastricht University Medical Centre, Maastricht, the Netherlands
- University Maastricht, Cardiovascular Research Institute Maastricht (CARIM), the Netherlands
| | - Ulrich Schotten
- Department of Cardiology, Maastricht University Medical Centre, Maastricht, the Netherlands
- University Maastricht, Cardiovascular Research Institute Maastricht (CARIM), the Netherlands
| | - Martin R. Cowie
- National Heart and Lung Institute, Imperial College London (Royal Brompton Hospital), London, England, UK
| | - R. Doug McEvoy
- Adelaide Institute for Sleep Health (AISH), College of Medicine and Public Health, Flinders University and Sleep Health Service, Respiratory and Sleep Services, Southern Adelaide Local Health Network, Adelaide, Australia
| | - Hein Heidbuchel
- Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
- Heart Centre Hasselt, Jessa Hospital, Hasselt, Belgium
- University of Antwerp and Antwerp University Hospital, Edegem, Belgium
| | - Jeroen Hendriks
- Centre for Heart Rhythm Disorders (CHRD), South Australian Health and Medical Research Institute (SAHMRI), University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia
| | - Prashanthan Sanders
- Centre for Heart Rhythm Disorders (CHRD), South Australian Health and Medical Research Institute (SAHMRI), University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia
| | - Dennis H. Lau
- Centre for Heart Rhythm Disorders (CHRD), South Australian Health and Medical Research Institute (SAHMRI), University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia
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Predictors of positive airway pressure therapy termination in the first year: analysis of big data from a German homecare provider. BMC Pulm Med 2018; 18:186. [PMID: 30518372 PMCID: PMC6280473 DOI: 10.1186/s12890-018-0748-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Accepted: 11/20/2018] [Indexed: 11/28/2022] Open
Abstract
Background There is a lack of robust data about factors predicting continuation (or termination) of positive airway pressure therapy (PAP) for sleep apnea. This analysis of big data from a German homecare provider describes patients treated with PAP, analyzes the therapy termination rate over the first year, and investigates predictive factors for therapy termination. Methods Data from a German homecare service provider were analyzed retrospectively. Patients who had started their first PAP therapy between September 2009 and April 2014 were eligible. Patient demographics, therapy start date, and the date of and reason for therapy termination were obtained. At 1 year, patients were classified as having compliance-related therapy termination or remaining on therapy. These groups were compared, and significant predictors of therapy termination determined. Results Of 98,329 patients included in the analysis, 11,702 (12%) terminated PAP therapy within the first year (after mean 171 ± 91 days). There was a U-shaped relationship between therapy termination and age; therapy termination was higher in the youngest (< 30 years, 15.5%) and oldest (≥ 80 years, 19.8%) patients, and lower in those aged 50–59 years (9.9%). Therapy termination was significantly more likely in females versus males (hazard ratio 1.48, 95% confidence interval 1.42–1.54), in those with public versus private insurance (1.75, 1.64–1.86) and in patients whose first device was automatically adjusting or fixed-level continuous positive airway pressure versus bilevel or adaptive servo-ventilation (1.28, 1.2–1.38). Conclusions This analysis of the largest dataset investigating PAP therapy termination identified a number of predictive factors. These can help health care providers chose the most appropriate PAP modality, identify specific patient phenotypes at higher risk of stopping PAP and target interventions to support ongoing therapy to these groups, as well as allow them to develop a risk stratification tool.
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Abstract
Sleep medicine has been an expanding discipline during the last few decades. The prevalence of sleep disorders is increasing, and sleep centers are expanding in hospitals and in the private care environment to meet the demands. Sleep medicine has evidence-based guidelines for the diagnosis and treatment of sleep disorders. However, the number of sleep centers and caregivers in this area is not sufficient. Many new methods for recording sleep and diagnosing sleep disorders have been developed. Many sleep disorders are chronic conditions and require continuous treatment and monitoring of therapy success. Cost-efficient technologies for the initial diagnosis and for follow-up monitoring of treatment are important. It is precisely here that telemedicine technologies can meet the demands of diagnosis and therapy follow-up studies. Wireless recording of sleep and related biosignals allows diagnostic tools and therapy follow-up to be widely and remotely available. Moreover, sleep research requires new technologies to investigate underlying mechanisms in the regulation of sleep in order to better understand the pathophysiology of sleep disorders. Home recording and non-obtrusive recording over extended periods of time with telemedicine methods support this research. Telemedicine allows recording with little subject interference under normal and experimental life conditions.
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Affiliation(s)
- Thomas Penzel
- Interdisciplinary Sleep medicine Center, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.,International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czech Republic
| | - Christoph Schöbel
- Interdisciplinary Sleep medicine Center, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Ingo Fietze
- Interdisciplinary Sleep medicine Center, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
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Penzel T, Glos M, Schöbel C, He Z, Ludka O, Fietze I. Telemedizin und telemetrische Aufzeichnungsmethoden zur Diagnostik in der Schlafmedizin. SOMNOLOGIE 2018. [DOI: 10.1007/s11818-018-0149-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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Woehrle H, Arzt M, Graml A, Fietze I, Young P, Teschler H, Ficker JH. Effect of a patient engagement tool on positive airway pressure adherence: analysis of a German healthcare provider database. Sleep Med 2018; 41:20-26. [DOI: 10.1016/j.sleep.2017.07.026] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Revised: 07/13/2017] [Accepted: 07/14/2017] [Indexed: 10/18/2022]
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