Literature DB >> 23386372

A new characterization of adherence patterns to auto-adjusting positive airway pressure in severe obstructive sleep apnea syndrome: clinical and psychological determinants.

Rute Sampaio1, M Graça Pereira, João C Winck.   

Abstract

PURPOSE: The aim of this study was to examine the joint role of demographic, clinical, psychological and family coping variables as predictors of adherence patterns to auto-adjusting positive airway pressure (APAP).
METHODS: A total of 153 patients diagnosed with obstructive sleep apnea syndrome (OSAS) were assessed during a 6-months APAP treatment period. All patients underwent psychological evaluation prior to treatment (T1) and 1 to 3 months (T2) and 4 to 6 months (T3) post-APAP treatment. Of these, 107 patients maintained a stable adherence pattern to APAP during the treatment period.
RESULTS: Forty-seven percent were poorly adherent, 27 % were moderately adherent and 26 % were optimally adherent OSAS patients. Several factors distinguished the three adherence patterns and some of these emerged as the main predictors. In T1, the first model included age, apnea-hypopnea index, outcome expectations and coping spiritual support, as main predictors to distinguish adherence patterns. In T2 and T3, two models emerged adjusted to the variables of model 1 that included leakage, self-efficacy, mobilizing family acquire/accept support and reframing in model 2 and self-efficacy in model 3. Generally, the areas under the ROC curve, presented a good discrimination.
CONCLUSIONS: Findings revealed an integrative heuristic model that accounted for the joint influence of demographic, clinical, psychological, and family coping factors on poor, moderate, and optimal adherence patterns.

Entities:  

Mesh:

Year:  2013        PMID: 23386372     DOI: 10.1007/s11325-013-0814-7

Source DB:  PubMed          Journal:  Sleep Breath        ISSN: 1520-9512            Impact factor:   2.816


  67 in total

Review 1.  Sleep-related breathing disorders in adults: recommendations for syndrome definition and measurement techniques in clinical research. The Report of an American Academy of Sleep Medicine Task Force.

Authors: 
Journal:  Sleep       Date:  1999-08-01       Impact factor: 5.849

Review 2.  Factors that influence CPAP adherence: an overview.

Authors:  Gilla K Shapiro; Colin M Shapiro
Journal:  Sleep Breath       Date:  2010-07-27       Impact factor: 2.816

3.  Understanding the problem of poor CPAP adherence.

Authors:  Mark S Aloia
Journal:  Sleep Med Rev       Date:  2011-05-26       Impact factor: 11.609

4.  Effect of mouth leak on effectiveness of nasal bilevel ventilatory assistance and sleep architecture.

Authors:  H Teschler; J Stampa; R Ragette; N Konietzko; M Berthon-Jones
Journal:  Eur Respir J       Date:  1999-12       Impact factor: 16.671

5.  CPAP treatment of a population-based sample--what are the benefits and the treatment compliance?

Authors:  Eva Lindberg; Christian Berne; Ahmed Elmasry; Jan Hedner; Christer Janson
Journal:  Sleep Med       Date:  2006-06-05       Impact factor: 3.492

6.  Normalization of memory performance and positive airway pressure adherence in memory-impaired patients with obstructive sleep apnea.

Authors:  Molly E Zimmerman; J Todd Arnedt; Michael Stanchina; Richard P Millman; Mark S Aloia
Journal:  Chest       Date:  2006-12       Impact factor: 9.410

7.  Reversal of obstructive sleep apnoea by continuous positive airway pressure applied through the nares.

Authors:  C E Sullivan; F G Issa; M Berthon-Jones; L Eves
Journal:  Lancet       Date:  1981-04-18       Impact factor: 79.321

8.  Accuracy of autotitrating CPAP to estimate the residual Apnea-Hypopnea Index in patients with obstructive sleep apnea on treatment with autotitrating CPAP.

Authors:  Himanshu Desai; Anil Patel; Pinal Patel; Brydon J B Grant; M Jeffery Mador
Journal:  Sleep Breath       Date:  2009-05-01       Impact factor: 2.816

9.  Relationship between hours of CPAP use and achieving normal levels of sleepiness and daily functioning.

Authors:  Terri E Weaver; Greg Maislin; David F Dinges; Thomas Bloxham; Charles F P George; Harly Greenberg; Gihan Kader; Mark Mahowald; Joel Younger; Allan I Pack
Journal:  Sleep       Date:  2007-06       Impact factor: 5.849

10.  Psychological variables as predictors of adherence to treatment by continuous positive airway pressure.

Authors:  C Poulet; D Veale; N Arnol; P Lévy; J L Pepin; J Tyrrell
Journal:  Sleep Med       Date:  2009-03-29       Impact factor: 3.492

View more
  2 in total

1.  A French update on the Self-Efficacy Measure for Sleep Apnea (SEMSA) to assess continuous positive airway pressure (CPAP) use.

Authors:  Jean-Arthur Micoulaud-Franchi; Olivier Coste; Stéphanie Bioulac; Kelly Guichard; Pierre-Jean Monteyrol; Imad Ghorayeb; Terri E Weaver; Sébastien Weibel; Pierre Philip
Journal:  Sleep Breath       Date:  2018-06-26       Impact factor: 2.816

2.  Non-Adherence to Pharmacotherapy: A Prospective Multicentre Study About Its Incidence and Its Causes Perceived by Chronic Pain Patients.

Authors:  Rute Sampaio; Luís Filipe Azevedo; Cláudia Camila Dias; José M Castro Lopes
Journal:  Patient Prefer Adherence       Date:  2020-02-19       Impact factor: 2.711

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.