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DAŞDEMİR İLKHAN G, ÇELİKHİSAR H, KILAVUZ A. Huzurevlerinde yaşayan yaşlı bireylerde fiziksel aktivitenin uyku kalitesi üzerine etkisi. EGE TIP DERGISI 2021. [DOI: 10.19161/etd.915684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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Billings ME, Pendharkar SR. Alternative Care Pathways for Obstructive Sleep Apnea and the Impact on Positive Airway Pressure Adherence: Unraveling the Puzzle of Adherence. Sleep Med Clin 2020; 16:61-74. [PMID: 33485532 DOI: 10.1016/j.jsmc.2020.10.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
The high burden of obstructive sleep apnea (OSA), combined with inadequate supply of sleep specialists and constraints on polysomnography resources, has prompted interest in alternative models of care to improve access and treatment effectiveness. In appropriately selected patients, ambulatory clinical pathways and use of nonphysicians or primary care providers to manage OSA can improve timely access and costs without compromising adherence or other clinical outcomes. Although initial studies show promising results, there are several potential barriers that must be considered before broad implementation, and further implementation research and economic evaluation studies are required.
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Affiliation(s)
- Martha E Billings
- Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington School of Medicine, UW Medicine Sleep Center at Harborview Medical Center, Box 359803, 325 Ninth Avenue, Seattle, WA 98104, USA.
| | - Sachin R Pendharkar
- Departments of Medicine and Community Health Sciences, Cumming School of Medicine, University of Calgary, TRW Building, Room 3E23, 3280 Hospital Drive Northwest, Calgary, Alberta T2N 4Z6, Canada
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O'Donnell C, Ryan S, McNicholas WT. The Impact of Telehealth on the Organization of the Health System and Integrated Care. Sleep Med Clin 2020; 15:431-440. [PMID: 32762975 DOI: 10.1016/j.jsmc.2020.06.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Sleep medicine is a rapidly developing field of medicine that is well-suited to initiatives such as Telehealth to provide safe, effective clinical care to an expanding group of patients. The increasing prevalence of sleep disorders has resulted in long waiting lists and lack of specialist availability. Telemedicine has potential to facilitate a move toward an integrated care model, which involves professionals from different disciplines and different organizations working together in a team-oriented way toward a shared goal of delivering all of a person's care requirements. Issues around consumer health technology and nonphysician sleep providers are discussed further in the article.
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Affiliation(s)
- Cliona O'Donnell
- UCD School of Medicine, Health Sciences Centre, University College Dublin, Belfield, Dublin 4, Ireland; Department of Respiratory and Sleep Medicine, St. Vincent's University Hospital, Elm Park, Dublin 4, Ireland
| | - Silke Ryan
- UCD School of Medicine, Health Sciences Centre, University College Dublin, Belfield, Dublin 4, Ireland; Department of Respiratory and Sleep Medicine, St. Vincent's University Hospital, Elm Park, Dublin 4, Ireland
| | - Walter T McNicholas
- Department of Respiratory and Sleep Medicine, School of Medicine, University College Dublin, St. Vincent's University Hospital, St. Vincent's Hospital Group, Elm Park, Dublin 4, Ireland.
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Vo JDV, Gorbach AM. A Platform to Record Patient Events During Physiological Monitoring With Wearable Sensors: Proof-of-Concept Study. Interact J Med Res 2019; 8:e10336. [PMID: 30609977 PMCID: PMC6682266 DOI: 10.2196/10336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Revised: 05/29/2018] [Accepted: 09/28/2018] [Indexed: 11/16/2022] Open
Abstract
Background Patient journals have been used as valuable resources in clinical studies. However, the full potential value of such journals can be undermined by inefficiencies and ambiguities associated with handwritten patient reports. The increasing number of mobile phones and mobile-based health care approaches presents an opportunity to improve communications from patients to clinicians and clinical researchers through the use of digital patient journals. Objective The objective of this project was to develop a smartphone-based platform that would enable patients to record events and symptoms on the same timeline as clinical data collected by wearable sensors. Methods This platform consists of two major components: a smartphone for patients to record their journals and wireless sensors for clinical data collection. The clinical data and patient records are then exported to a clinical researcher interface, and the data and journal are processed and combined into a single time-series graph for analysis. This paper gives a block diagram of the platform’s principal components and compares its features to those of other methods but does not explicitly discuss the process of design or development of the system. Results As a proof of concept, body temperature data were obtained in a 4-hour span from a 22-year-old male, during which the subject simultaneously recorded relevant activities and events using the iPhone platform. After export to a clinical researcher’s desktop, the digital records and temperature data were processed and fused into a single time-series graph. The events were filtered based on specific keywords to facilitate data analysis. Conclusions We have developed a user-friendly patient journal platform, based on widely available smartphone technology, that gives clinicians and researchers a simple method to track and analyze patient activities and record the activities on a shared timeline with clinical data from wearable devices.
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Affiliation(s)
- Jonathan Duc Vinh Vo
- Infrared Imaging and Thermometry Unit, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, United States
| | - Alexander M Gorbach
- Infrared Imaging and Thermometry Unit, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, United States
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Worley SL. The Extraordinary Importance of Sleep: The Detrimental Effects of Inadequate Sleep on Health and Public Safety Drive an Explosion of Sleep Research. P & T : A PEER-REVIEWED JOURNAL FOR FORMULARY MANAGEMENT 2018; 43:758-763. [PMID: 30559589 PMCID: PMC6281147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
New sleep deprivation studies confirm the relationship between inadequate sleep and a wide range of disorders, such as hypertension, obesity and type-2 diabetes, cardiovascular disease, impaired immune functioning, and more.
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Lim DC, Sutherland K, Cistulli PA, Pack AI. P4 medicine approach to obstructive sleep apnoea. Respirology 2017; 22:849-860. [PMID: 28477347 DOI: 10.1111/resp.13063] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2017] [Revised: 03/20/2017] [Accepted: 03/24/2017] [Indexed: 12/22/2022]
Abstract
P4 medicine is an evolving approach to personalized medicine. The four Ps offer a means to: Predict who will develop disease and co-morbidities; Prevent rather than react to disease; Personalize diagnosis and treatment; have patients Participate in their own care. P4 medicine is very applicable to obstructive sleep apnoea (OSA) because each OSA patient has a different pathway to disease and its consequences. OSA has both structural and physiological mechanisms with different clinical subgroups, different molecular profiles and different consequences. This may explain why there are different responses to alternative therapies, such as intraoral devices and hypoglossal nerve stimulation therapy. Currently, technology facilitates patients to participate in their own care from screening for OSA (snoring and apnoea apps) to monitoring response to therapy (sleep monitoring, blood pressure, oxygen saturation and heart rate) as well as monitoring their own continuous positive airway pressure (CPAP) compliance. We present a conceptual framework that provides the basis for a new, P4 medicine approach to OSA and should be considered more in depth: predict and prevent those at high risk for OSA and consequences, personalize the diagnosis and treatment of OSA and build in patient participation to manage OSA.
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Affiliation(s)
- Diane C Lim
- Division of Sleep Medicine/Department of Medicine, Center for Sleep and Circadian Neurobiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Kate Sutherland
- Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.,Department of Respiratory and Sleep Medicine, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Peter A Cistulli
- Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.,Department of Respiratory and Sleep Medicine, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Allan I Pack
- Division of Sleep Medicine/Department of Medicine, Center for Sleep and Circadian Neurobiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
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Abstract
Obstructive sleep apnea is a common condition, with multiple potential neurocognitive, cardiovascular, and metabolic consequences. Efficacious treatment is available, but patient engagement is typically required for treatment to be effective. Patients with sleep apnea are phenotypically diverse and have individual needs, preferences, and values that impact treatment decisions. There has been a shift in obstructive sleep apnea management from diagnosis to chronic care management. Making treatment decisions that incorporate an individual patient's values and preferences and are personalized for that patient's biology has the potential to improve patient outcomes. A patient-centered care approach in obstructive sleep apnea is reviewed including 1) determining patient-specific needs to guide treatment decisions, 2) understanding patient values, preferences, and other factors impacting treatment decisions and using shared decision-making, 3) enhancing patient education and support to improve treatment adherence, 4) promoting patient engagement, 5) optimizing care coordination, continuity of care, and access to care, and 6) determining and assessing patient-centered outcomes.
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Affiliation(s)
- Janet Hilbert
- Yale University School of Medicine, Department of Internal Medicine, Section of Pulmonary, Critical Care, and Sleep Medicine, New Haven, CT, USA.
| | - Henry K Yaggi
- Yale University School of Medicine, Department of Internal Medicine, Section of Pulmonary, Critical Care, and Sleep Medicine, New Haven, CT, USA
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Parthasarathy S, Carskadon MA, Jean-Louis G, Owens J, Bramoweth A, Combs D, Hale L, Harrison E, Hart CN, Hasler BP, Honaker SM, Hertenstein E, Kuna S, Kushida C, Levenson JC, Murray C, Pack AI, Pillai V, Pruiksma K, Seixas A, Strollo P, Thosar SS, Williams N, Buysse D. Implementation of Sleep and Circadian Science: Recommendations from the Sleep Research Society and National Institutes of Health Workshop. Sleep 2016; 39:2061-2075. [PMID: 27748248 PMCID: PMC5103795 DOI: 10.5665/sleep.6300] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2016] [Accepted: 09/26/2016] [Indexed: 01/03/2023] Open
Affiliation(s)
| | - Mary A. Carskadon
- Department of Psychiatry and Human Behavior at the Warren Alpert Medical School of Brown University, Providence, RI
- Centre for Sleep Research, School of Psychology, Social Work and Social Policy, University of South Australia, Adelaide, Australia
| | | | | | - Adam Bramoweth
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA
| | - Daniel Combs
- UAHS Center for Sleep and Circadian Sciences, University of Arizona, Tucson, AZ
| | - Lauren Hale
- Department of Family, Population and Preventive Medicine, Stony Brook State University of New York, Stony Brook, Stony Brook, NY
| | | | - Chantelle N. Hart
- Social and Behavioral Sciences and the Center for Obesity Research and Education, College of Public Health, Temple University, Phildelphia, PA
| | - Brant P. Hasler
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Sarah M. Honaker
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN
| | | | - Samuel Kuna
- Center for Sleep and Circadian Neurobiology, University of Pennsylvania, Phildelphia, PA
| | | | - Jessica C. Levenson
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Caitlin Murray
- Psychology Department, Loyola University Chicago, Chicago, IL
| | - Allan I. Pack
- Center for Sleep and Circadian Neurobiology, University of Pennsylvania, Phildelphia, PA
| | - Vivek Pillai
- Sleep Disorders & Research Center, Henry Ford Health System, Detroit, MI
| | - Kristi Pruiksma
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX
| | - Azizi Seixas
- Department of Population Health, NYU School of Medicine, New York, NY
| | - Patrick Strollo
- Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvannia
| | - Saurabh S. Thosar
- Oregon Institute of Occupational Health Sciences, Oregon Health & Science University, Portland, OR
| | - Natasha Williams
- Department of Population Health, NYU School of Medicine, New York, NY
| | - Daniel Buysse
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA
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