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Effect of Self-Management on Improving Sleep Apnea Outcomes

2017년 3월 22일 업데이트: 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.

연구 개요

상태

완전한

정황

개입 / 치료

상세 설명

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.

연구 유형

중재적

등록 (실제)

240

단계

  • 2 단계
  • 3단계

연락처 및 위치

이 섹션에서는 연구를 수행하는 사람들의 연락처 정보와 이 연구가 수행되는 장소에 대한 정보를 제공합니다.

연구 장소

  • 미국
    • California
      • San Diego, California, 미국, 92161
        • VA San Diego Healthcare System

참여기준

연구원은 적격성 기준이라는 특정 설명에 맞는 사람을 찾습니다. 이러한 기준의 몇 가지 예는 개인의 일반적인 건강 상태 또는 이전 치료입니다.

자격 기준

공부할 수 있는 나이

18년 이상 (성인, 고령자)

건강한 자원 봉사자를 받아들입니다

아니

연구 대상 성별

모두

설명

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

공부 계획

이 섹션에서는 연구 설계 방법과 연구가 측정하는 내용을 포함하여 연구 계획에 대한 세부 정보를 제공합니다.

연구는 어떻게 설계됩니까?

디자인 세부사항

  • 주 목적: 다른
  • 할당: 무작위
  • 중재 모델: 단일 그룹 할당
  • 마스킹: 하나의

무기와 개입

참가자 그룹 / 팔
개입 / 치료
위약 비교기: Usual Care
Usual sleep apnea and cpap care
행동: Usual care
Usual sleep apnea and cpap care
실험적: Self-Management
sleep apnea self-management program - 4 sessions, group-based
행동: Sleep Apnea Self-Management Program
Sleep apnea self-management program - 4 sessions, group-based.

연구는 무엇을 측정합니까?

주요 결과 측정

결과 측정
측정값 설명
기간
CPAP Adherence
기간: 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
기간: 6 months
The investigators also examined the data obtained at the 6-month time point.
6 months

2차 결과 측정

결과 측정
측정값 설명
기간
Pittsburgh Sleep Quality Index (PSQI)
기간: 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)
기간: 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

기타 결과 측정

결과 측정
측정값 설명
기간
Sleep Apnea Quality of Life Index (SAQLI)
기간: 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)
기간: 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
기간: 1 month

Social-cognitive theory (SCT) measure

1= Disagree Completely 5= Agree Completely 6= Not applicable
1 month
Outcome Expectation
기간: 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)
기간: 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)
기간: 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

공동 작업자 및 조사자

여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.

스폰서

VA Office of Research and Development

수사관

  • 수석 연구원: Carl J Stepnowsky, PhD, San Diego Veterans Healthcare System

간행물 및 유용한 링크

연구에 대한 정보 입력을 담당하는 사람이 자발적으로 이러한 간행물을 제공합니다. 이것은 연구와 관련된 모든 것에 관한 것일 수 있습니다.

일반 간행물

연구 기록 날짜

이 날짜는 ClinicalTrials.gov에 대한 연구 기록 및 요약 결과 제출의 진행 상황을 추적합니다. 연구 기록 및 보고된 결과는 공개 웹사이트에 게시되기 전에 특정 품질 관리 기준을 충족하는지 확인하기 위해 국립 의학 도서관(NLM)에서 검토합니다.

연구 주요 날짜

연구 시작

2006년 4월 1일

기본 완료 (실제)

2009년 5월 1일

연구 완료 (실제)

2009년 12월 1일

연구 등록 날짜

최초 제출

2006년 3월 30일

QC 기준을 충족하는 최초 제출

2006년 3월 30일

처음 게시됨 (추정)

2006년 4월 3일

연구 기록 업데이트

마지막 업데이트 게시됨 (실제)

2017년 4월 20일

QC 기준을 충족하는 마지막 업데이트 제출

2017년 3월 22일

마지막으로 확인됨

2017년 3월 1일

추가 정보

이 연구와 관련된 용어

키워드

추가 관련 MeSH 약관

기타 연구 ID 번호

  • IIR 02-275

개별 참가자 데이터(IPD) 계획

개별 참가자 데이터(IPD)를 공유할 계획입니까?

아니요

이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .

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