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Risk assessment for CPAP nonadherence in adults with newly diagnosed obstructive sleep apnea: preliminary testing of the Index for Nonadherence to PAP (I-NAP)

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Abstract

Purpose

Identification of risk for continuous positive airway pressure therapy (CPAP) nonadherence prior to home treatment is an opportunity to deliver targeted adherence interventions. Study objectives included the following: (1) test a risk screening questionnaire to prospectively identify CPAP nonadherence risk among adults with newly diagnosed obstructive sleep apnea (OSA), (2) reduce the questionnaire to a minimum item set that effectively identifies 1-month CPAP nonadherence, and (3) examine the diagnostic utility of the screening index.

Methods

A prospective, longitudinal study at two clinical sleep centers in the USA included adults with newly diagnosed OSA (n = 97; AHI ≥5 events/h) by polysomnogram (PSG) consecutively recruited to participate. After baseline participant and OSA characteristics were collected, a risk screening questionnaire was administered immediately following CPAP titration polysomnogram. One-month objective CPAP use was collected.

Results

Predominantly, white (87 %), males (55 %), and females (45 %) with obesity (BMI 38.3 kg/m2; SD 9.3) and severe OSA (AHI 36.8; SD 19.7) were included. One-month CPAP use was 4.25 h/night (SD 2.35). Nineteen questionnaire items (I-NAP) reliably identified nonadherers defined at <4 h/night CPAP use (Wald X 2[8] = 34.67, p < 0.0001) with ROC AUC 0.83 (95 % CI 0.74–0.91). Optimal score cut point for the I-NAP screening questionnaire were determined to maximize sensitivity (87 %) while maintaining specificity >60 % (63 %).

Conclusion

A risk screening questionnaire employed immediately after titration PSG may reliably identify CPAP nonadherers and permit the delivery of targeted interventions to prevent or reduce nonadherence. This novel approach may enhance cost-effectiveness of care and permit appropriate allocation of resources for CPAP adherence.

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References

  1. Kushida CA et al (2006) Practice parameters for the use of continuous and bilevel positive airway pressure devices to treat adult patients with sleep-related breathing disorders. Sleep 29:375–380

    PubMed  Google Scholar 

  2. Gay P et al (2006) Evaluation of positive airway pressure treatment for sleep related breathing disorders in adults. Sleep 29:381–401

    PubMed  Google Scholar 

  3. Sawyer AM et al (2011) A systematic review of CPAP adherence across age groups: clinical and empiric insights for developing CPAP adherence interventions. Sleep Med Rev 15:343–356

    Article  PubMed Central  PubMed  Google Scholar 

  4. Weaver TE, Grunstein RR (2008) Adherence to continuous positive airway pressure therapy: the challenge to effective treatment. Proc Am Thorac Soc 5:173–178

    Article  PubMed Central  PubMed  Google Scholar 

  5. McArdle N et al (1999) Long-term use of CPAP therapy for sleep apnea/hypopnea syndrome. Am J Respir Crit Care Med 159:1108–1114

    Article  CAS  PubMed  Google Scholar 

  6. Weaver TE et al (1997) Night-to-night variability in CPAP use over first three months of treatment. Sleep 20:278–283

    CAS  PubMed  Google Scholar 

  7. Aloia MS et al (2007) How early in treatment is PAP adherence established? Revisiting night-to-night variability. Behav Sleep Med 5:229–240

    Article  PubMed  Google Scholar 

  8. Budhiraja R et al (2007) Early CPAP use identifies subsequent adherence to CPAP therapy. Sleep 30:320–324

    PubMed  Google Scholar 

  9. Crawford MR et al (2013) Integrating psychology and medicine in CPAP adherence—new concepts? Sleep Med Rev. doi:10.1016/j.smrv.2013.03.002

    PubMed  Google Scholar 

  10. Lewis K et al (2004) Early predictors of CPAP use for the treatment of obstructive sleep apnea. Sleep 27:134–138

    PubMed  Google Scholar 

  11. Baron K et al (2011) Spousal involvement in CPAP adherence among patients with obstructive sleep apnea. Sleep Breath 15:525–534

    Article  PubMed  Google Scholar 

  12. Sawyer A et al (2011) Do cognitive perceptions influence CPAP use? Patient Educ Couns 85:85–91

    Article  PubMed Central  PubMed  Google Scholar 

  13. Stepnowsky CJ et al (2002) Psychologic correlates of compliance with continuous positive airway pressure. Sleep 25:758–762

    PubMed  Google Scholar 

  14. Baron K et al (2011) Self-efficacy contributes to individual differences in subjective improvements using CPAP. Sleep Breath 15:599–606

    Article  PubMed  Google Scholar 

  15. Aloia MS et al (2005) Predicting treatment adherence in obstructive sleep apnea using principles of behavior change. J Clin Sleep Med 1:346–353

    PubMed  Google Scholar 

  16. Drake CL et al (2003) Sleep during titration predicts continuous positive airway pressure compliance. Sleep 26:308–311

    PubMed  Google Scholar 

  17. Iber C et al (2007) The AASM manual for the scoring of sleep and associated events. American Academy of Sleep Medicine, Westchester

    Google Scholar 

  18. Johns MW (1993) Daytime sleepiness, snoring, and obstructive sleep apnea. The Epworth sleepiness scale. Chest 103:30–36

    Article  CAS  PubMed  Google Scholar 

  19. Weaver TE et al (1997) An instrument to measure functional status outcomes for disorders of excessive sleepiness. Sleep 20:835–843

    CAS  PubMed  Google Scholar 

  20. Chew LD, Bradley KA, Boyko EJ (2004) Brief questions to identify patients with inadequate health literacy. Fam Med 36:588–594

    PubMed  Google Scholar 

  21. Weaver TE et al (2003) Self-efficacy in sleep apnea: instrument development and patient perceptions of obstructive sleep apnea risk, treatment benefit, and volition to use continuous positive airway pressure. Sleep 26:727–732

    PubMed  Google Scholar 

  22. Wilson JMG, Junger G (1968) Principles and practice of screening for disease, in Public Health Papers. World Health Organization, Geneva

    Google Scholar 

  23. Sawyer AM et al (2010) Differences in perceptions of the diagnosis and treatment of obstructive sleep apnea and continuous positive airway pressure therapy among adherers and nonadherers. Qual Health Res 20:873–892

    Article  PubMed Central  PubMed  Google Scholar 

  24. Balachandran JS et al (2013) A brief survey of patients’ first impression after CPAP titration predicts future CPAP adherence: a pilot study. J Clin Sleep Med 9:199–205

    PubMed Central  PubMed  Google Scholar 

  25. Ghosh D, Allgar V, Elliott MW (2013) Identifying poor compliance with CPAP in obstructive sleep apnea: a simple prediction equation using data after a two week trial. Respir Med 107:936–942

    Article  PubMed  Google Scholar 

  26. Tan MCY et al (2008) Cost-effectiveness of continuous positive airway pressure therapy in patients with obstructive sleep apnea-hypopnea in British Columbia. Can Respir J 15:159–165

    CAS  PubMed Central  PubMed  Google Scholar 

  27. Guest JF et al (2008) Cost-effectiveness of using continuous positive airway pressure in the treatment of severe obstructive sleep apnea/hypopnoea syndrome in the UK. Thorax 63:860–865

    Article  CAS  PubMed  Google Scholar 

  28. Ayas NT et al (2006) Cost-effectiveness of continuous positive airway pressure therapy for moderate to severe obstructive sleep apnea/hypopnea. Arch Intern Med 166:977–984

    Article  PubMed  Google Scholar 

  29. Epstein LJ et al (2009) Clinical guideline for the evaluation, management and long-term care of obstructive sleep apnea in adults. J Clin Sleep Med 5:263–276

    PubMed  Google Scholar 

  30. Stepnowsky CJ, Marler MR, Ancoli-Israel S (2002) Determinants of nasal CPAP compliance. Sleep Medicine 3:239–247

    Article  PubMed  Google Scholar 

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Acknowledgements

The project described was supported by Grant Numbers R00NR011173 and K99NR011173 from the National Institute of Nursing Research/National Institutes of Health. The authors acknowledge the sleep center staff members and providers who supported research recruitment, enrollment, and protocol procedures at the respective centers and early consultation with Greg Maislin, Biomedical Statistical Consulting and Judy A. Shea, PhD, University of Pennsylvania.

Conflict of interest

Drs. King, Hanlon, Sweer, and Rizzo disclose no conflicts of interest. Dr. Sawyer has received funding from National Institutes of Health/NINR, American Nurses Foundation and Sigma Theta Tau International and has received honoraria as an educational speaker for the American Academy of Sleep Medicine. Dr. Weaver discloses the following: Research equipment support from Philips Respironics, Inc.; Grant support from TEVA, Inc. (2008–13); FOSQ License Agreements with Nova Som, GlaxoSmithKline, Philips Respironics, Cephalon, Inc., and Nova Nordsk; and serves on the Board of Directors for ViMedicus, Inc. Dr. Weaver also has received research support from National Institutes of Health. Dr. Richards has received research support from Philips Respironics, Inc., National Institutes of Health, and the Department of Veterans Affairs.

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Correspondence to Amy M. Sawyer.

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Sawyer, A.M., King, T.S., Hanlon, A. et al. Risk assessment for CPAP nonadherence in adults with newly diagnosed obstructive sleep apnea: preliminary testing of the Index for Nonadherence to PAP (I-NAP). Sleep Breath 18, 875–883 (2014). https://doi.org/10.1007/s11325-014-0959-z

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  • DOI: https://doi.org/10.1007/s11325-014-0959-z

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