Literature DB >> 26118558

An Economic Evaluation of Home Versus Laboratory-Based Diagnosis of Obstructive Sleep Apnea.

Richard D Kim1,2,3, Vishesh K Kapur3, Julie Redline-Bruch4, Michael Rueschman5, Dennis H Auckley6, Ruth M Benca7, Nancy R Foldvary-Schafer8, Conrad Iber9, Phyllis C Zee10, Carol L Rosen11, Susan Redline12, Scott D Ramsey2.   

Abstract

STUDY
OBJECTIVES: We conducted an economic analysis of the HomePAP study, a multicenter randomized clinical trial that compared home-based versus laboratory-based testing for the diagnosis and management of obstructive sleep apnea (OSA).
DESIGN: A cost-minimization analysis from the payer and provider perspectives was performed, given that 3-mo clinical outcomes were equivalent.
SETTING: Seven academic sleep centers. PARTICIPANTS: There were 373 subjects at high risk for moderate to severe OSA.
INTERVENTIONS: Subjects were randomized to either home-based limited channel portable monitoring followed by unattended autotitration with continuous positive airway pressure (CPAP), versus a traditional pathway of in-laboratory sleep study and CPAP titration. MEASUREMENTS AND
RESULTS: From the payer perspective, per subject costs for the laboratory-based pathway were $1,840 (95% confidence interval [CI] $1,660, $2,015) compared to $1,575 (95% CI $1,439, $1,716) for the home-based pathway under the base case. Costs were $264 (95% CI $39, $496, P = 0.02) in favor of the home arm. From the provider perspective, per subject costs for the laboratory arm were $1,697 (95% CI $1,566, $1,826) compared to $1,736 (95% CI $1,621, $1,857) in the home arm, for a difference of $40 (95% CI -$213, $142, P = 0.66) in favor of the laboratory arm under the base case. The provider operating margin was $142 (95% CI $85, $202,P < 0.01) in the laboratory arm, compared to a loss of -$161 (95% CI -$202, -$120, P < 0.01) in the home arm.
CONCLUSIONS: For payers, a home-based diagnostic pathway for obstructive sleep apnea with robust patient support incurs fewer costs than a laboratory-based pathway. For providers, costs are comparable if not higher, resulting in a negative operating margin. CLINICALTRIALSGOV IDENTIFIER: NCT00642486.
© 2015 Associated Professional Sleep Societies, LLC.

Entities:  

Keywords:  cost effectiveness analysis; cost minimization analysis; home sleep testing; obstructive sleep apnea; operating margin; out-of-center testing; portable monitor; sleep medicine

Mesh:

Year:  2015        PMID: 26118558      PMCID: PMC4481018          DOI: 10.5665/sleep.4804

Source DB:  PubMed          Journal:  Sleep        ISSN: 0161-8105            Impact factor:   5.849


  27 in total

1.  Analysis of cost data in randomized trials: an application of the non-parametric bootstrap.

Authors:  J A Barber; S G Thompson
Journal:  Stat Med       Date:  2000-12-15       Impact factor: 2.373

2.  Outcomes of home-based diagnosis and treatment of obstructive sleep apnea.

Authors:  Robert P Skomro; John Gjevre; John Reid; Brian McNab; Sunita Ghosh; Maryla Stiles; Ruzica Jokic; Heather Ward; David Cotton
Journal:  Chest       Date:  2010-02-19       Impact factor: 9.410

3.  Portable monitoring for obstructive sleep apnea: the horse is out of the barn-avoiding pitfalls.

Authors:  Vahid Mohsenin
Journal:  Am J Med       Date:  2012-09-06       Impact factor: 4.965

Review 4.  PRO: sliding into home: portable sleep testing is effective for diagnosis of obstructive sleep apnea.

Authors:  Douglas B Kirsch
Journal:  J Clin Sleep Med       Date:  2013-01-15       Impact factor: 4.062

5.  An integrated health-economic analysis of diagnostic and therapeutic strategies in the treatment of moderate-to-severe obstructive sleep apnea.

Authors:  Jan B Pietzsch; Abigail Garner; Lauren E Cipriano; John H Linehan
Journal:  Sleep       Date:  2011-06-01       Impact factor: 5.849

6.  A multisite randomized trial of portable sleep studies and positive airway pressure autotitration versus laboratory-based polysomnography for the diagnosis and treatment of obstructive sleep apnea: the HomePAP study.

Authors:  Carol L Rosen; Dennis Auckley; Ruth Benca; Nancy Foldvary-Schaefer; Conrad Iber; Vishesh Kapur; Michael Rueschman; Phyllis Zee; Susan Redline
Journal:  Sleep       Date:  2012-06-01       Impact factor: 5.849

7.  Noninferiority of functional outcome in ambulatory management of obstructive sleep apnea.

Authors:  Samuel T Kuna; Indira Gurubhagavatula; Greg Maislin; Sakhena Hin; Kathryn C Hartwig; Sue McCloskey; Robert Hachadoorian; Sharon Hurley; Rajesh Gupta; Bethany Staley; Charles W Atwood
Journal:  Am J Respir Crit Care Med       Date:  2011-01-21       Impact factor: 21.405

8.  Evaluation of a portable device for diagnosing the sleep apnoea/hypopnoea syndrome.

Authors:  K Dingli; E L Coleman; M Vennelle; S P Finch; P K Wraith; T W Mackay; N J Douglas
Journal:  Eur Respir J       Date:  2003-02       Impact factor: 16.671

9.  Clinical guidelines for the use of unattended portable monitors in the diagnosis of obstructive sleep apnea in adult patients. Portable Monitoring Task Force of the American Academy of Sleep Medicine.

Authors:  Nancy A Collop; W McDowell Anderson; Brian Boehlecke; David Claman; Rochelle Goldberg; Daniel J Gottlieb; David Hudgel; Michael Sateia; Richard Schwab
Journal:  J Clin Sleep Med       Date:  2007-12-15       Impact factor: 4.062

10.  Cost-Effectiveness of a Community Pharmacist-Led Sleep Apnea Screening Program - A Markov Model.

Authors:  Clémence Perraudin; Marc Le Vaillant; Nathalie Pelletier-Fleury
Journal:  PLoS One       Date:  2013-06-21       Impact factor: 3.240

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  33 in total

Review 1.  Impact of Portable Sleep Testing.

Authors:  Vaishnavi Kundel; Neomi Shah
Journal:  Sleep Med Clin       Date:  2017-03

2.  Vision-Based Heart and Respiratory Rate Monitoring During Sleep - A Validation Study for the Population at Risk of Sleep Apnea.

Authors:  Kaiyin Zhu; Michael Li; Sina Akbarian; Maziar Hafezi; Azadeh Yadollahi; Babak Taati
Journal:  IEEE J Transl Eng Health Med       Date:  2019-10-14       Impact factor: 3.316

3.  Evolve Sleep: Optimized Solutions To Help Your Sleep Medicine Practice Thrive.

Authors:  Nathaniel F Watson
Journal:  J Clin Sleep Med       Date:  2015-08-15       Impact factor: 4.062

4.  Utility of home sleep apnea testing devices in patients with cardiac conditions-critical manual interpretation of the raw data is important.

Authors:  Mukesh Kapoor
Journal:  Sleep Breath       Date:  2019-03-14       Impact factor: 2.816

5.  ATS Core Curriculum 2016: Part I. Adult Sleep Medicine.

Authors:  Jay S Balachandran; Carey C Thomson; Dezmond B Sumter; Anita V Shelgikar; Philippe Lachapelle; Sushmita Pamidi; Michael Fall; Chitra Lal; Ridhwan Y Baba; Neomi Shah; Barry G Fields; Kathleen Sarmiento; Matthew P Butler; Steven A Shea; Janelle V Baptiste; Katherine M Sharkey; Tisha Wang
Journal:  Ann Am Thorac Soc       Date:  2016-04

6.  The utility of home sleep apnea tests in patients with low versus high pre-test probability for moderate to severe OSA.

Authors:  Cathy A Goldstein; Hala Karnib; Katherine Williams; Zunaira Virk; Afifa Shamim-Uzzaman
Journal:  Sleep Breath       Date:  2017-11-22       Impact factor: 2.816

7.  Effect of Manual Editing of Total Recording Time: Implications for Home Sleep Apnea Testing.

Authors:  Ying Y Zhao; Jia Weng; Daniel R Mobley; Rui Wang; Younghoon Kwon; Phyllis C Zee; Pamela L Lutsey; Susan Redline
Journal:  J Clin Sleep Med       Date:  2017-01-15       Impact factor: 4.062

8.  A novel approach using actigraphy to quantify the level of disruption of sleep by in-home polysomnography: the MrOS Sleep Study: Sleep disruption by polysomnography.

Authors:  Terri Blackwell; Misti Paudel; Susan Redline; Sonia Ancoli-Israel; Katie L Stone
Journal:  Sleep Med       Date:  2016-12-22       Impact factor: 3.492

Review 9.  Redesigning Care for OSA.

Authors:  Lucas M Donovan; Aditi Shah; Ching Li Chai-Coetzer; Ferran Barbé; Najib T Ayas; Vishesh K Kapur
Journal:  Chest       Date:  2019-10-19       Impact factor: 9.410

10.  Obstructive sleep apnea risk and psychological health among non-Hispanic blacks in the Metabolic Syndrome Outcome (MetSO) cohort study.

Authors:  Mirnova E Ceïde; Natasha J Williams; Azizi Seixas; Samantha K Longman-Mills; Girardin Jean-Louis
Journal:  Ann Med       Date:  2015-11-22       Impact factor: 4.709

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