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Effect of Self-Management on Improving Sleep Apnea Outcomes

2017年3月22日 更新者：VA Office of Research and Development
Obstructive sleep apnea syndrome (OSA) is a common sleep disorder that is associated with serious medical and psychological complications. Nasal continuous positive airway pressure (CPAP) is the treatment of choice for this condition because it is highly effective in reducing the frequency of nocturnal respiratory events, improving sleep architecture, decreasing daytime sleepiness and improving blood pressure. Incomplete patient adherence, however, limits the effectiveness of CPAP therapy and results in sub-optimal patient outcomes. Previous efforts to enhance CPAP adherence have resulted in only modest improvements, have generally not been theory-driven, and have had minimal effects on key patient outcomes such as reduction in OSA symptoms or increase in health-related quality of life (HRQOL). The planned intervention in this proposal, the Sleep Apnea Self-Management Program (SASMP), is based on the rationale that sleep apnea is a chronic disease that requires significant self-care on the part of the patient. We draw on the extensive chronic disease self-management literature to provide a solid theoretical justification for this pragmatic intervention both to better manage key aspects of OSA and to increase CPAP adherence. Chronic disease management programs help reduce symptoms, improve HRQOL, improve treatment adherence, and decrease medical utilization.

研究概览

地位

完全的

条件

干预/治疗

详细说明

Background: Obstructive sleep apnea syndrome (OSA) is a common sleep disorder that is associated with serious medical and psychological complications. Nasal continuous positive airway pressure (CPAP) is the treatment of choice for this condition because it is highly effective in reducing the frequency of nocturnal respiratory events, improving sleep architecture, decreasing daytime sleepiness and improving blood pressure. Incomplete patient adherence, however, limits the effectiveness of CPAP therapy and results in sub-optimal patient outcomes. Previous efforts to enhance CPAP adherence have resulted in only modest improvements, have generally not been theory-driven, and have had minimal effects on key patient outcomes such as reduction in OSA symptoms or increase in health-related quality of life (HRQOL). The planned intervention in this proposal, the Sleep Apnea Self-Management Program (SASMP), is based on the rationale that sleep apnea is a chronic disease that requires significant self-care on the part of the patient. We draw on the extensive chronic disease self-management literature to provide a solid theoretical justification for this pragmatic intervention both to better manage key aspects of OSA and to increase CPAP adherence. Chronic disease management programs help reduce symptoms, improve HRQOL, improve treatment adherence, and decrease medical utilization. Objectives: The primary aim of this study is to compare the efficacy of the SASMP to Usual Care for improving OSA symptom status, HRQOL, and self-reported medical utilization. A second aim is to examine the extent to which changes in symptoms and HRQOL are mediated by changes in self-efficacy and CPAP adherence. Methods: We will evaluate the Sleep Apnea Self-Management Program (SASMP) by conducting a randomized, controlled trial of the program compared to Usual Care in patients diagnosed with OSA and prescribed CPAP therapy. Participants randomized to the SASMP group will attend 4 weekly educational sessions of 2.5 hours each. Two trained leaders facilitate the program from a scripted manual. Key topics covered in this program include 1) management of OSA symptoms, CPAP side effects, and weight loss; 2) maintaining social contacts and family relationships; and 3) dealing with symptoms of depression and worries about the future. Findings: No results at this time. Status: We are currently engaging in start-up activities. Impact: The results of this project can improve service delivery and improve health outcomes for sleep apnea patients at the Veterans Affairs San Diego Healthcare System, throughout the VA, as well as to any community based sleep clinic.

研究类型

介入性

注册 (实际的)

240

阶段

  • 阶段2
  • 第三阶段

联系人和位置

本节提供了进行研究的人员的详细联系信息，以及有关进行该研究的地点的信息。

学习地点

  • 美国
    • California
      • San Diego、California、美国、92161
        • VA San Diego Healthcare System

参与标准

研究人员寻找符合特定描述的人，称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。

资格标准

适合学习的年龄

18年 及以上 (成人、年长者)

接受健康志愿者

不

有资格学习的性别

全部

描述

Inclusion Criteria:

  • Clinical diagnosis of obstructive sleep apnea
  • No previous use of CPAP
  • Must be a Veteran with residence within San Diego County

Exclusion Criteria:

  • Home oxygen therapy
  • Fatal comorbidities (i.e., life expectancy less than 6 mos)
  • Contraindications for CPAP use

学习计划

本节提供研究计划的详细信息，包括研究的设计方式和研究的衡量标准。

研究是如何设计的？

设计细节

  • 主要用途：其他
  • 分配：随机化
  • 介入模型：单组作业
  • 屏蔽：单身的

武器和干预

参与者组/臂
干预/治疗
安慰剂比较：Usual Care
Usual sleep apnea and cpap care
行为的：Usual care
Usual sleep apnea and cpap care
实验性的：Self-Management
sleep apnea self-management program - 4 sessions, group-based
行为的：Sleep Apnea Self-Management Program
Sleep apnea self-management program - 4 sessions, group-based.

研究衡量的是什么？

主要结果指标

结果测量
措施说明
大体时间
CPAP Adherence
大体时间：1 month
The investigators examined the data obtained in the Sleep Apnea Self-Management Program at the one-month time point relative to participation in the Usual Care group.
1 month
CPAP Adherence
大体时间：6 months
The investigators also examined the data obtained at the 6-month time point.
6 months

次要结果测量

结果测量
措施说明
大体时间
Pittsburgh Sleep Quality Index (PSQI)
大体时间：1 Month

The Pittsburgh Sleep Quality Index (PSQI) is a self-rated questionnaire aimed at assessing sleep quality and disturbances over a 1-month period.79 The PSQI measures seven areas of sleep: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleep medication, and daytime dysfunction. Items are answered utilizing a Likert scale with 0 being indicative of better sleep and the maximum value of 3 being indicative of poor sleep. The PSQI has acceptable reliability (Cronbach's alpha = 0.83), test-retest reliability of 0.85, and can distinguish good and poor sleepers (global PSQI score > 5 has diagnostic sensitivity = 89.6% and specificity 86.5%).

In scoring the PSQI, seven component scores are derived, each scored 0 (no difficulty) to 3 (severe difficulty). The component scores are summed to produce a global score (range 0 to 21). Higher scores indicate worse sleep quality.
1 Month
Pittsburgh Sleep Quality Index (PSQI)
大体时间：6 Months

The Pittsburgh Sleep Quality Index (PSQI) is a self-rated questionnaire aimed at assessing sleep quality and disturbances over a 1-month period.79 The PSQI measures seven areas of sleep: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleep medication, and daytime dysfunction. Items are answered utilizing a Likert scale with 0 being indicative of better sleep and the maximum value of 3 being indicative of poor sleep. The PSQI has acceptable reliability (Cronbach's alpha = 0.83), test-retest reliability of 0.85, and can distinguish good and poor sleepers (global PSQI score > 5 has diagnostic sensitivity = 89.6% and specificity 86.5%).

In scoring the PSQI, seven component scores are derived, each scored 0 (no difficulty) to 3 (severe difficulty). The component scores are summed to produce a global score (range 0 to 21). Higher scores indicate worse sleep quality.
6 Months

其他结果措施

结果测量
措施说明
大体时间
Sleep Apnea Quality of Life Index (SAQLI)
大体时间：1 month

Sleep Apnea Quality of Life Index (SAQLI) which is a 35-item clinician-administered scale composed of five domains: daily functioning, social interactions, emotional functioning, symptoms, and CPAP side effects. . It has high internal consistency, strong content and construct validity, and adequate concurrent and discriminative validity, and is responsive to changes in HRQOL. The key advantages to inclusion of the SAQLI is that it is the only clinician-administered scale in the study and it contains a CPAP side effect scale that is one of the few valid measures of the frequency and amount of CPAP side effects.

  1. A very large, All the time
  2. A large
  3. A moderate to large
  4. A moderate
  5. A small to moderate
  6. A small
  7. No, None, Not at all
1 month
Quality of Well Being Scale (QWB-SA)
大体时间：1 month
The QWB-SA is a generic, preference-based measure that produces a single score appropriate for cost-effectiveness estimates and has been used in veteran and other general adult populations. The advantage of having a single, scaled score instead of multiple separate subscale domains is important for comparing interventions. The QWB-SA is a comprehensive measure of health-related quality of life that consists of 78-items and five sections: (I) acute and chronic symptoms; (II) self-care activities; (III) mobility; (IV) physical activity and performance of physical functioning; and (V) social activity. The level of functioning and the subjective symptom reports are then weighted by preference, or utility, on a scale that ranges from 0 (dead) to 1.0 (optimum function).
1 month
Self-Efficacy
大体时间：1 month

Social-cognitive theory (SCT) measure

1= Disagree Completely 5= Agree Completely 6= Not applicable
1 month
Outcome Expectation
大体时间：1 month

Social-cognitive theory (SCT) measure

1= Not at all important 5= Extremely important 6= Not applicable
1 month
Center for Epidemiological Studies - Depression Scale (Short Form)
大体时间：1 month

The CES-D is a 10-item self-report measure of depression. The 10-item version has adequate predictive accuracy when compared to the original full-length 20-item version, as well as adequate test-retest correlations and discriminative validity.

The total score is calculated by finding the sum of 10 items. Any score equal to or above 10 is considered depressed.
1 month
Epworth Sleepiness Scale (ESS)
大体时间：1 month
ESS is a widely used subjective measure of excessive daytime sleepiness in research and clinical settings. Participants are asked to indicate how likely they would be to fall asleep in eight different situations on a scale from 0 (not likely) to 3 (highly likely). The situations are designed to vary in sleep-inducing capacity. The ESS scoring range is 0-24, with higher scores reflecting greater daytime sleepiness.
1 month

合作者和调查者

在这里您可以找到参与这项研究的人员和组织。

赞助

VA Office of Research and Development

调查人员

  • 首席研究员：Carl J Stepnowsky, PhD、San Diego Veterans Healthcare System

出版物和有用的链接

负责输入研究信息的人员自愿提供这些出版物。这些可能与研究有关。

一般刊物

研究记录日期

这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查，以确保它们在发布到公共网站之前符合特定的质量控制标准。

研究主要日期

学习开始

2006年4月1日

初级完成 (实际的)

2009年5月1日

研究完成 (实际的)

2009年12月1日

研究注册日期

首次提交

2006年3月30日

首先提交符合 QC 标准的

2006年3月30日

首次发布 (估计)

2006年4月3日

研究记录更新

最后更新发布 (实际的)

2017年4月20日

上次提交的符合 QC 标准的更新

2017年3月22日

最后验证

2017年3月1日

更多信息

与本研究相关的术语

关键字

其他相关的 MeSH 术语

其他研究编号

  • IIR 02-275

计划个人参与者数据 (IPD)

计划共享个人参与者数据 (IPD)？

不

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