Remote Evaluation and Surveillance of Patients With Interstitial Lung Disease: Transforming ILD Care Delivery With Remote Monitoring (RESPOND-ILD)
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Erica D Farrand, MD
- Phone Number: 415-476-8067
- Email: Erica.Farrand@ucsf.edu
Study Contact Backup
- Name: Yeji Lee
- Phone Number: 415-353-9744
- Email: Yeji.Lee@ucsf.edu
Study Locations
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California
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San Francisco, California, United States, 94117
- University of California, San Francisco
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- age 18 or older
- English or Spanish speaking
- have a UCSF diagnosis of one of the major ILD subtypes seen in the ILD Clinic (Idiopathic Pulmonary Fibrosis, Chronic Hypersensitivity Pneumonitis, Connective-tissue disease related ILD, Sarcoidosis, Familial Fibrosis). Languages are limited to those for which both device instructional materials and user support are available (written and video). The ILD diagnosis will be based on multidisciplinary conference review, which is the diagnostic gold standard. We have restricted the ILD subtypes to those for which there is efficacy data for RPM or comparable clinical trajectories, and subtypes that account for >10% of the ILD diagnoses seen at UCSF.
Exclusion Criteria:
- Patients who are unable provide informed consent for any reason or are acutely ill.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Health Services Research
- Allocation: Randomized
- Interventional Model: Factorial Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Spirometry Only
Participants randomized to Arm 1 will perform home spirometry weekly by completing a spirometry maneuver (inhaling and exhaling through the device mouthpiece).
Participants will also complete brief symptom questionnaires electronically throughout the study period.
|
Participants will be expected to engage in home monitoring using study-provided devices, including a spirometer, pulse oximeter, and/or wireless scale, all of which will be connected to a secure application on the participant's mobile phone for remote data collection and transmission.
Participants will also be expected to adhere to scheduled study visits and complete required study activities throughout the study period.
|
|
Experimental: Spirometer and Oximeter
Participants randomized to Arm 2 will perform home spirometry weekly by completing a spirometry maneuver (inhaling and exhaling through the device mouthpiece) and will measure oxygen saturation levels daily using a pulse oximeter.
Participants will also complete brief electronic symptom questionnaires throughout the study period.
|
Participants will be expected to engage in home monitoring using study-provided devices, including a spirometer, pulse oximeter, and/or wireless scale, all of which will be connected to a secure application on the participant's mobile phone for remote data collection and transmission.
Participants will also be expected to adhere to scheduled study visits and complete required study activities throughout the study period.
|
|
Experimental: Spirometer and Scale (weight)
Participants randomized to Arm 3 will perform home spirometry weekly by completing a spirometry maneuver (inhaling and exhaling through the device mouthpiece) and will measure their weight weekly using the wireless scale provided by the study.
Participants will also complete brief electronic symptom questionnaires throughout the study period.
|
Participants will be expected to engage in home monitoring using study-provided devices, including a spirometer, pulse oximeter, and/or wireless scale, all of which will be connected to a secure application on the participant's mobile phone for remote data collection and transmission.
Participants will also be expected to adhere to scheduled study visits and complete required study activities throughout the study period.
|
|
Experimental: Spirometer, Oximeter, and Scale (weight)
Participants randomized to Arm 4 will perform home spirometry weekly by completing a spirometry maneuver (inhaling and exhaling through the device mouthpiece), measure oxygen saturation levels daily using a pulse oximeter, and measure their weight weekly using the wireless scale provided by the study.
Participants will also complete brief electronic symptom questionnaires throughout the study period.
|
Participants will be expected to engage in home monitoring using study-provided devices, including a spirometer, pulse oximeter, and/or wireless scale, all of which will be connected to a secure application on the participant's mobile phone for remote data collection and transmission.
Participants will also be expected to adhere to scheduled study visits and complete required study activities throughout the study period.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Detection rate of clinically significant ILD events
Time Frame: Baseline, Month 12
|
Measured using a composite endpoint of acute exacerbation, hospitalization, or rapid disease progression, defined as a ≥10% relative decline in FVC over 3 months
|
Baseline, Month 12
|
|
Time to detection of first ILD event
Time Frame: Baseline, Month 12
|
Measured using a composite endpoint of acute exacerbation, hospitalization, or rapid disease progression, defined as a ≥10% relative decline in FVC over 3 months.
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Baseline, Month 12
|
|
Adherence
Time Frame: 12 months
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Adherence to remote monitoring protocol, defined as the proportion of measurements completed >=67% of weeks with full data entry)
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12 months
|
|
Retention
Time Frame: 12 months
|
Primary: Participant retention at 12 months (target >=80%)
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12 months
|
|
Data Completeness
Time Frame: 12 months
|
Data completeness, defined as >85% of expected remote monitoring data points successfully transmitted
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12 months
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in health-related quality of life
Time Frame: Baseline, Month 12
|
Measured by administration of King's Brief ILD Questionnaire (K-BILD).
K-BILD is a 15-item health status questionnaire with each item reported on a 7-point Likert response scale across three domains: breathlessness and activities, psychological, chest symptoms.
The raw scores are logit transformed onto a standardized 0-100 scale, where 100 represents the best health status.
The minimally clinically important change difference for the total score is = 5-point change.
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Baseline, Month 12
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Change in health-related quality of life
Time Frame: Baseline, Month 12
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Measured by administration of the Generalized Anxiety Disorder 7-item scale (GAD-7).
The GAD-7 scores each of the 7 items on a scale of 0-3 with the total score range from 0-21 with a higher score indicating higher anxiety.
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Baseline, Month 12
|
|
Change in FVC
Time Frame: Baseline, Month 12
|
Measured by comparing changes in FVC in home spirometry vs clinic-based spirometry
|
Baseline, Month 12
|
|
Proportion of patients with ≥10% decline in FVC
Time Frame: Baseline, Month 12
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Measured by FVC values collected through home spirometry.
|
Baseline, Month 12
|
|
Proportion of patients with a change in ILD-related treatment
Time Frame: Baseline, Month 12
|
Measured by collecting data on initiation, discontinuation, or dose adjustment of antifibrotic medication, immunosuppressive therapy, oxygen therapy, referral for transplant evaluation, or referral to pulmonary rehabilitation.
|
Baseline, Month 12
|
|
Patient Engagement and Activation
Time Frame: 12 months
|
Patient engagement and activation, as measured by the Patient Activation Measure (PAM) which assess a patient's knowledge, skill, and confidence for self-managing their health.
The 13 items are measured on a 4-point Likert scale, with the raw total transformed into a standardized score of 0-100 where higher scores indicate greater activation.
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12 months
|
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Patient-reported Satisfaction
Time Frame: 12 months
|
Patient-reported satisfaction, acceptability and burden of monitoring as measured by survey adapted from Home Monitoring Acceptance and Satisfaction Questionnaire (HoMASQ).
The ten item questionnaire scores each item on a 1-5 Likert scale with the total score ranging from 10 to 50.
A higher score means higher patient satisfaction.
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12 months
|
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Total implementation cost of home monitoring intervention components (per-patient, US dollars)
Time Frame: 12 month
|
Total cost of delivering the home monitoring intervention, calculated as the sum of intervention costs (per-unit cost of the home spirometer, pulse oximeter, and/or weight scale, plus electronic patient-reported outcome [ePRO] platform licensing and data transmission fees) and implementation costs (personnel time for device provisioning, patient training, technical support, and clinician review of transmitted data, valued using time-driven activity-based costing and applicable wage rates).
Cost will be calculated per patient over the 12-month active monitoring period, in US dollars.
Consistent with the factorial MOST design, total cost will be analyzed by main effect - oximeter (Arms 2 and 4 combined vs. Arms 1 and 3 combined) and weight scale (Arms 3 and 4 combined vs. Arms 1 and 2 combined).
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12 month
|
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Unintended Implementation Impact
Time Frame: 12 month
|
Number of unscheduled clinical contacts or escalations triggered by remote monitoring
|
12 month
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Erica Farrand, MD, University of California, San Francisco
Publications and helpful links
General Publications
- Sim I. Mobile Devices and Health. N Engl J Med. 2019 Sep 5;381(10):956-968. doi: 10.1056/NEJMra1806949. No abstract available.
- Handley MA, Lyles CR, McCulloch C, Cattamanchi A. Selecting and Improving Quasi-Experimental Designs in Effectiveness and Implementation Research. Annu Rev Public Health. 2018 Apr 1;39:5-25. doi: 10.1146/annurev-publhealth-040617-014128. Epub 2018 Jan 12.
- Ilowite J, Lisker G, Greenberg H. Digital Health Technology and Telemedicine-Based Hospital and Home Programs in Pulmonary Medicine During the COVID-19 Pandemic. Am J Ther. 2021 Feb 3;28(2):e217-e223. doi: 10.1097/MJT.0000000000001342.
- Russell AM, Adamali H, Molyneaux PL, Lukey PT, Marshall RP, Renzoni EA, Wells AU, Maher TM. Daily Home Spirometry: An Effective Tool for Detecting Progression in Idiopathic Pulmonary Fibrosis. Am J Respir Crit Care Med. 2016 Oct 15;194(8):989-997. doi: 10.1164/rccm.201511-2152OC.
- Ku JP, Sim I. Mobile Health: making the leap to research and clinics. NPJ Digit Med. 2021 May 14;4(1):83. doi: 10.1038/s41746-021-00454-z.
- Ge J, Fontil V, Ackerman S, Pletcher MJ, Lai JC. Clinical decision support and electronic interventions to improve care quality in chronic liver diseases and cirrhosis. Hepatology. 2025 Apr 1;81(4):1353-1364. doi: 10.1097/HEP.0000000000000583. Epub 2023 Aug 23.
- Farrand E, Gologorskaya O, Mills H, Radhakrishnan L, Collard HR, Butte AJ. Machine-Learning Algorithm to Improve Cohort Identification in Interstitial Lung Disease. Am J Respir Crit Care Med. 2023 May 15;207(10):1398-1401. doi: 10.1164/rccm.202211-2092LE. No abstract available.
- Odisho AY, Liu AW, Maiorano AR, Bigazzi MOA, Medina E, Leard LE, Shah R, Venado A, Perez A, Golden J, Kleinhenz ME, Kolaitis NA, Maheshwari J, Trinh BN, Kukreja J, Greenland J, Calabrese D, Neinstein AB, Singer JP, Hays SR. Design and implementation of a digital health home spirometry intervention for remote monitoring of lung transplant function. J Heart Lung Transplant. 2023 Jun;42(6):828-837. doi: 10.1016/j.healun.2023.01.010. Epub 2023 Feb 2.
- Wijsenbeek MS, Moor CC, Johannson KA, Jackson PD, Khor YH, Kondoh Y, Rajan SK, Tabaj GC, Varela BE, van der Wal P, van Zyl-Smit RN, Kreuter M, Maher TM. Home monitoring in interstitial lung diseases. Lancet Respir Med. 2023 Jan;11(1):97-110. doi: 10.1016/S2213-2600(22)00228-4. Epub 2022 Oct 4.
Study record dates
Study Major Dates
Study Start (Estimated)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 25-44428
- 5K23HL175213-02 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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