Original articleDeterminants of nasal CPAP compliance☆
Introduction
Obstructive sleep apnea (OSA) is a disorder characterized by repeated cessations of breathing during sleep [1]. Consequences of OSA include excessive daytime sleepiness [2], altered sleep architecture [3], impaired neurocognitive performance [4], dysphoric mood [5], and significant psychosocial disruption [6]. Patients with OSA have increased morbidity from cardiovascular events [7] and automobile accidents [8]. Higher rates of mortality have been seen in middle-aged adults having more than 20 apneas per hour of sleep [9] or having a combination of snoring and excessive daytime sleepiness [10].
The treatment-of-choice for OSA is nasal continuous positive airway pressure (CPAP) [11]. CPAP has been shown to reduce daytime sleepiness [12], oxyhemoglobin desaturations [13], heart rate and pulmonary pressure [14], improve cognitive performance [15], and increase health-related quality of life [16]. Compliance with CPAP is associated with significant reductions in physician claims and hospital stays [17].
Despite the documented efficacy of CPAP, it is estimated that over 50% of those started on CPAP will not be using it 1 year later [18]. Of those using it 1 year later, most are not using CPAP for the entire night as prescribed. Published compliance rates in the United States range from 4.7 to 5.3 h per night [19], [20]. Rates outside the United States tend to be somewhat higher: 5.6 h per night in the United Kingdom [21], 5.6–6.5 in France [22], [23]. Because CPAP is accepted by only 50% of patients over a 1-year period and because those who do accept it are not using it as prescribed, it stands to reason that CPAP compliance could be significantly improved.
Determinants of CPAP compliance that have been studied can be classified into one of the three categories: patient/sociodemographic, disease-related, and CPAP-related. Few reliable determinants have been found [24], although improvement in sleepiness level appears to be associated with higher CPAP compliance [25]. Because CPAP is an aid and not a cure, significant behavior change on the part of the patient and the patient's family is necessary. Indeed, the sleep community is beginning to recognize the importance of the ‘human factor’ in CPAP compliance, e.g. the beliefs and behaviors of the patient and professional/patient interactions [26]. We decided to look at two contemporary, well-supported models of behavior change, social cognitive theory (SCT) and the transtheoretical model (TM), to better understand factors associated with CPAP compliance. Appendix A provides a description of these models. SCT hypothesizes that those patients with (a) higher perceived self-efficacy, (b) higher outcome expectancies for CPAP, (c) greater functional social support, and (d) greater knowledge will be more compliant with CPAP. The TM hypothesizes that those patients (a) with more pros than cons and (b) who use more processes of change will be more compliant with CPAP.
The purpose of this study was to investigate the relationship between objectively measured CPAP compliance and variables from SCT and TM. First, scales that measure variables from each model were developed and psychometric properties evaluated. Second, the ability of SCT and TM variables to predict compliance at 1-month post-CPAP-fitting was prospectively evaluated on 51 first-time CPAP users. It was hypothesized that SCT and TM variables measured: (a) on the day of CPAP-fitting would not be predictive of CPAP compliance and (b) at 1-week post-CPAP-fitting and at 1-month post-CPAP-fitting would be predictive of CPAP compliance.
Section snippets
Participants
Seventy-seven consecutive patients presenting to the Pulmonary Clinic at the Veterans Affairs San Diego Healthcare System (VASDHS) were asked to participate and 51 patients agreed. Eight individuals did not qualify for study because of either having used CPAP previously or being severely cognitively impaired. Eighteen individuals qualified for the study, but did not participate because of living outside the county, not starting CPAP, or declining to participate in a research study. T-tests
Results
Table 2 provides descriptive statistics on the sample including age, AHI, initial CPAP pressure, BMI, and compliance. Four subjects had an AHI score less than 15, but were included because of a clinical history strongly suggestive of sleep apnea, including witnessed apneas, excessive daytime sleepiness, and loud snoring nightly.
Discussion
Compliance with CPAP therapy is disappointingly low, yet no studies to our knowledge have identified reliable, modifiable determinants of compliance upon which interventions may be based. This paper described the development and initial validation of scales that measure variables from SCT and TM, then found that these variables measured at 1-week post-CPAP-fitting were highly associated with CPAP compliance measured at 1 month. In addition, as hypothesized, these variables were not associated
Acknowledgements
Supported by NIA AG02711, NIA AG08415, NCI CA85264, NHLBI HL44915, HL36005, HL44915, the Department of Veterans Affairs VISN-22 Mental Illness Research, Education and Clinical Center (MIRECC) and the Research Service of the Veterans Affairs San Diego Healthcare System.
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These results are based on a dissertation for the completion of a PhD degree by C.J.S. Parts of the data reported in this paper were presented at the Annual Meeting of the Society of Behavioral Medicine, 1999 and 2000 and at the Annual Meeting of the Association of Professional Sleep Societies, 2000. Special thank you to the VA Pulmonary Sleep Apnea Clinic staff for their valuable help on this project and to Mairov Cohen-Zion for her help with data collection.