Abstract/Details

Identifying longitudinal patterns of adherence to treatment for obstructive sleep apnea


2011 2011

Other formats: Order a copy

Abstract (summary)

Increasing adherence to medical recommendations is crucial for improving health outcomes and reducing costs of health care. To improve adherence, we have to better understand behavior change over time. The focus of this study was adherence to treatment for obstructive sleep apnea (OSA). Adherence to positive airway pressure (PAP), the most common treatment for OSA, is poor. This study involved an international sample of 161 participants, each with approximately 180 nights of data, and had three phases.

First, a separate time series analysis was performed for each individual. Time series parameters included the mean (average hours of use per night), level (the intercept), slope (the rate of change over time), variance (variability in use) and autocorrelation (a measure of dependency). Second, a dynamic cluster analysis was performed to find homogenous subgroups of individuals with similar adherence patterns. A four-cluster solution was found, and the subgroups were labeled: Great Users (17.2%; high mean and level, no slope), Good Users (32.8%; moderate mean and level, no slope), Poor Users (22.7%; low mean and level, negative slope), and Slow Decliners (moderate mean and level, negative slope, high variance). Third, participants in the identified subgroups were compared on a number of variables that were not involved in the clustering to establish external validity. Some notable findings at later time points include: Great Users reported the most self-efficacy (confidence to use PAP); Poor Users reported the most sleepiness; and Great Users reported the highest quality of sleep.

Combining time series analysis and dynamic cluster analysis is a useful way to evaluate adherence patterns at both the individual level and subgroup level. Psychological variables relevant to adherence patterns, such as self-efficacy, could be the focus of interventions to increase PAP usage.

Indexing (details)


Subject
Statistics;
Experimental psychology;
Quantitative psychology
Classification
0463: Statistics
0623: Experimental psychology
0632: Quantitative psychology
Identifier / keyword
Psychology; Pure sciences; Dynamic cluster analysis; Obstructive sleep apnea; Time series analysis; Treatment adherence
Title
Identifying longitudinal patterns of adherence to treatment for obstructive sleep apnea
Author
Babbin, Steven Francis
Number of pages
70
Publication year
2011
Degree date
2011
School code
0186
Source
MAI 50/03M, Masters Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
ISBN
9781267037619
Advisor
Velicer, Wayne
Committee member
Blissmer, Bryan; Goodwin, Matthew S.; Redding, Colleen A.
University/institution
University of Rhode Island
Department
Psychology
University location
United States -- Rhode Island
Degree
M.A.
Source type
Dissertations & Theses
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
1502395
ProQuest document ID
910298740
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
http://search.proquest.com/docview/910298740
Access the complete full text

You can get the full text of this document if it is part of your institution's ProQuest subscription.

Try one of the following:

  • Connect to ProQuest through your library network and search for the document from there.
  • Request the document from your library.
  • Go to the ProQuest login page and enter a ProQuest or My Research username / password.