188
Views
2
CrossRef citations to date
0
Altmetric
Original Articles

Feasibility Testing of a Self-Management Program Book to Improve Adherence to PAP in Persons Newly Diagnosed With Sleep Apnea

ORCID Icon, ORCID Icon, , , , , & show all
Pages 413-426 | Published online: 23 Sep 2016
 

ABSTRACT

Objectives: To obtain feasibility data on a self-management program to improve adherence with positive airway pressure (PAP) in individuals with newly diagnosed obstructive sleep apnea. Methods: A mixed-methods design assessed program effectiveness and participants’ opinions on program ease-of-use. Structured interviews with the treatment group occurred one week and one month after initiation of PAP therapy. Results: Participants (n = 14) completing the study demonstrated 64% adherence versus 58% of the controls. Ease of use was demonstrated. Conclusions: The PAP self-management program demonstrated ease of use and was found somewhat effective in improving PAP adherence. Practice implications: The book was useful in assisting participants by validating information obtained from their providers and developing an understanding of the consequences of not using PAP.

Acknowledgments

We extend our appreciation to Dr. Yow-Wu Bill Wu for statistical consultation.

Additional information

Funding

This project was supported by the Patricia H. Garman Behavioral Health Nursing Endowment Fund, School of Nursing, University at Buffalo.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 316.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.