RESP-FIT: COPD에서 기술로 강화된 자가 관리 (RESP-FIT)
30 adults, aged 40 and older with mild to moderate COPD, will be recruited for this study. Participants must be willing to continually wear a FitBit activity monitor, have access to a smartphone or Wi-Fi/Data-enabled iPad, and be willing to complete respiratory muscle strength training exercises as well as reports on their smartphone at least 5 times per week for a 6-week period. Participants will be given a bluetooth inhaler device and a training app (RESP-FIT). This application will collect inhaler data and allows patients to self-report their daily symptoms. The goal of this study is to test whether use of the personalized inhaler device with the app strengthens lung function, promotes physical activity, and improves disease symptom self-management in persons with COPD.
연구 개요
상세 설명
RESP-FIT. The RESP-FIT program is a 6-week respiratory muscle strength training intervention adapted from previous respiratory muscle strength training (RMST) training regimens, consisting of 1) five training days/week using combined inspiratory and expiratory muscle training, consisting of breathing in and out against a combine inspiratory and expiratory muscle strength trainer (IMST/EMST), 2) individualized, progress-based text message training reminders and prompts related to timing and intensification calibration, and 3) use of a Fitbit for remote monitoring of physical activity and hours slept at night. Similar to other muscle strength training programs, exercises are done at regular intervals during the week (5 breaths, 5 times a day, 5 days a week; the participant will receive graphical illustration of RESP-FIT training frequency and intensity achieved, and based on their training regimen, will be prompted and/or reinforced via SMS text messaging). As the use of an accelerometer or remote tracking device alone may affect physical activity, a control group will receive only the Fitbit. This study proposes to assess the feasibility and initial efficacy of RMST by obtaining estimates of variability in fatigue secondary to dyspnea, using a technologically-enhanced RESP-FIT intervention. Our overarching hypothesis is that a training regimen consisting of RMST along with technology-enhanced symptom-tracking will decrease dyspnea, dyspnea-related activity avoidance, and fatigue. Additionally, this application proposes to further develop Smartphone Airway Monitoring System (SAMS) which currently integrates EMA probe questions covering COPD symptoms and preventive care use with the new functions, use in an adult population with COPD, video captured training technique and logging of RMST training sessions. Up to thirty adults with COPD (age over 40) will complete the study and use the SAMS app for 6 weeks in the natural environment. We will evaluate the acceptability, feasibility, adherence, and performance of RESP-FIT + SAMS through quantitative methods to further optimize the app and related study procedures for the next phase of testing (i.e., large scale efficacy RCT).
연구 유형
등록 (실제)
단계
- 해당 없음
연락처 및 위치
연구 장소
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South Carolina
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Charleston, South Carolina, 미국, 29425
- Medical University of South Carolina
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참여기준
자격 기준
공부할 수 있는 나이
건강한 자원 봉사자를 받아들입니다
연구 대상 성별
설명
Inclusion Criteria:
- 40 years of age or older; and
- Able to read and write English; and
- Diagnosed with mild to moderate COPD (PFT values: FEV1/FVC <0.7 and FEV1% predicted < 50% - within the past 6 months); and
- Dyspnea score of greater than "2" on the Modified Medical Research Council (MMRC) questionnaire.
Exclusion Criteria:
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• Pregnant female or less than 1 year post-partum; or
- Diagnosed cognitive deficit or observed lack of understanding during the informed consent process; or
- Mobility impairment; or
- Lack of 3g WiFi access in place of residence; or
- Unwillingness to wear physical activity tracker daily, follow protocol, and/ or attend study visits.
공부 계획
연구는 어떻게 설계됩니까?
디자인 세부사항
- 주 목적: 다른
- 할당: 무작위
- 중재 모델: 병렬 할당
- 마스킹: 없음(오픈 라벨)
무기와 개입
참가자 그룹 / 팔 |
개입 / 치료 |
|---|---|
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실험적: RESP-FIT Intervention
Intervention: IMST/EMST Training (5 breaths, 5 times a day, 5 times a week) Fitbit activity monitoring Daily symptom and training log entered into mobile application (SAMS) |
Inspiratory and Expiratory muscle strength training 5 times a week, plus Fitbit activity monitoring (Daily) Daily symptom and training log entered into mobile application (SAMS)
다른 이름들:
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활성 비교기: RESP-FIT Comparator
Active Comparator: Fitbit activity monitoring (Daily) Daily symptom and training log entered into mobile application (SAMS) |
Fitbit activity monitoring (Daily) Daily symptom and training log entered into mobile application (SAMS)
다른 이름들:
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연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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Intervention Feasibility (Number of Participants Who Adhered to Treatment)
기간: through study completion, average of 6 weeks
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Feasibility of intervention was measured by the number of participants who adhered to treatment and completed the trial (from baseline to final visit follow-up). Treatment acceptability was measured by the Mobile Application Rating Scale. The Mobile Application Rating Scale asks the participant to report the appropriateness of the app for his/her target audience ranging from little or no (1) to very high level of the acceptability measure (5). |
through study completion, average of 6 weeks
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2차 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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Change in Self-efficacy
기간: baseline, 6 weeks
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Change in self-efficacy (measured with the PROMIS Self-Efficacy Scale). This measures the individual's confidence in his/her ability to successfully perform specific tasks or behaviors related to one's health, with 0 being "not at all confident" to 10 being "totally confident." The PROMIS adult Self-Efficacy item banks assess self-reported current level of confidence in managing chronic conditions, including confidence in managing daily activities, managing emotions, managing medications and treatments, managing social interactions and managing symptoms. |
baseline, 6 weeks
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Change in Fatigue
기간: baseline, 6 weeks
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Change in fatigue (measured with the PROMIS v1.0 Fatigue Scale). The PROMIS Fatigue item banks assess a range of self-reported symptoms, from mild subjective feelings of tiredness to an overwhelming, debilitating, and sustained sense of exhaustion that likely decreases one's ability to execute daily activities and function normally in family or social roles. Fatigue is divided into the experience of fatigue (frequency, duration, and intensity) and the impact of fatigue on physical, mental, and social activities. A higher PROMIS T-score represents more of the concept being measured. For negatively-worded concepts like fatigue, a T-score of 60 is one SD worse than average. |
baseline, 6 weeks
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Dyspnea
기간: baseline, 6 weeks
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Change in difficulty breathing (measured with the PROMIS v1.0 Dyspnea). Participant can select from 5 items evaluating how shortness of breath over the past 7 days affected ability to do various activities (Getting dressed, walking stairs, household chores, or walking fast pace) ranging from "I did not do this," "no difficulty," "a little difficulty," "some difficulty," and "much difficulty." A score of 50 is the average for the general population with a standard deviation of 10 as calibration testing was performed on a large sample of the general population. The dyspnea instruments were calibrated on a sample of adults with COPD, so a score of 50 is the average for people with COPD. For the adult PROMIS Dyspnea Severity 10a short form, a raw score of 10 converts to a T-score of 48.8 with a standard error (SE) of 2.0, for an average dyspnea rating. The T-score can range from 29.7-76.7. A higher score represents more dyspnea being measured. |
baseline, 6 weeks
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공동 작업자 및 조사자
수사관
- 수석 연구원: Sarah Miller, PhD, RN, Medical University of South Carolina
연구 기록 날짜
연구 주요 날짜
연구 시작 (실제)
기본 완료 (실제)
연구 완료 (실제)
연구 등록 날짜
최초 제출
QC 기준을 충족하는 최초 제출
처음 게시됨 (실제)
연구 기록 업데이트
마지막 업데이트 게시됨 (실제)
QC 기준을 충족하는 마지막 업데이트 제출
마지막으로 확인됨
추가 정보
이 연구와 관련된 용어
추가 관련 MeSH 약관
기타 연구 ID 번호
- Pro00071706
개별 참가자 데이터(IPD) 계획
개별 참가자 데이터(IPD)를 공유할 계획입니까?
IPD 계획 설명
As a condition of this National Institutes of Nursing Research (NINR) award, de-identified patient data will be shared by the researchers with the NINR and stored electronically on an NIH password protected secure server (https://cdrns.nih.gov/). The purpose of sharing this information is to build a NINR repository of data using Common Data Elements (CDE) for future research purposes among the general scientific community and for public health benefit.
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미국 FDA 규제 기기 제품 연구
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