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Henderson K, Reihm J, Koshal K, Wijangco J, Sara N, Miller N, Doyle M, Mallory A, Sheridan J, Guo CY, Oommen L, Rankin KP, Sanders S, Feinstein A, Mangurian C, Bove R. A Closed-Loop Digital Health Tool to Improve Depression Care in Multiple Sclerosis: Iterative Design and Cross-Sectional Pilot Randomized Controlled Trial and its Impact on Depression Care. JMIR Form Res 2024; 8:e52809. [PMID: 38488827 PMCID: PMC10980989 DOI: 10.2196/52809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 10/27/2023] [Accepted: 11/24/2023] [Indexed: 03/17/2024] Open
Abstract
BACKGROUND People living with multiple sclerosis (MS) face a higher likelihood of being diagnosed with a depressive disorder than the general population. Although many low-cost screening tools and evidence-based interventions exist, depression in people living with MS is underreported, underascertained by clinicians, and undertreated. OBJECTIVE This study aims to design a closed-loop tool to improve depression care for these patients. It would support regular depression screening, tie into the point of care, and support shared decision-making and comprehensive follow-up. After an initial development phase, this study involved a proof-of-concept pilot randomized controlled trial (RCT) validation phase and a detailed human-centered design (HCD) phase. METHODS During the initial development phase, the technological infrastructure of a clinician-facing point-of-care clinical dashboard for MS management (BRIDGE) was leveraged to incorporate features that would support depression screening and comprehensive care (Care Technology to Ascertain, Treat, and Engage the Community to Heal Depression in people living with MS [MS CATCH]). This linked a patient survey, in-basket messages, and a clinician dashboard. During the pilot RCT phase, a convenience sample of 50 adults with MS was recruited from a single MS center with 9-item Patient Health Questionnaire scores of 5-19 (mild to moderately severe depression). During the routine MS visit, their clinicians were either asked or not to use MS CATCH to review their scores and care outcomes were collected. During the HCD phase, the MS CATCH components were iteratively modified based on feedback from stakeholders: people living with MS, MS clinicians, and interprofessional experts. RESULTS MS CATCH links 3 features designed to support mood reporting and ascertainment, comprehensive evidence-based management, and clinician and patient self-management behaviors likely to lead to sustained depression relief. In the pilot RCT (n=50 visits), visits in which the clinician was randomized to use MS CATCH had more notes documenting a discussion of depressive symptoms than those in which MS CATCH was not used (75% vs 34.6%; χ21=8.2; P=.004). During the HCD phase, 45 people living with MS, clinicians, and other experts participated in the design and refinement. The final testing round included 20 people living with MS and 10 clinicians including 5 not affiliated with our health system. Most scoring targets for likeability and usability, including perceived ease of use and perceived effectiveness, were met. Net Promoter Scale was 50 for patients and 40 for clinicians. CONCLUSIONS Created with extensive stakeholder feedback, MS CATCH is a closed-loop system aimed to increase communication about depression between people living with MS and their clinicians, and ultimately improve depression care. The pilot findings showed evidence of enhanced communication. Stakeholders also advised on trial design features of a full year long Department of Defense-funded feasibility and efficacy trial, which is now underway. TRIAL REGISTRATION ClinicalTrials.gov NCT05865405; http://tinyurl.com/4zkvru9x.
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Affiliation(s)
- Kyra Henderson
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Jennifer Reihm
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Kanishka Koshal
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Jaeleene Wijangco
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Narender Sara
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Nicolette Miller
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Marianne Doyle
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Alicia Mallory
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Judith Sheridan
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Chu-Yueh Guo
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Lauren Oommen
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Katherine P Rankin
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Stephan Sanders
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Anthony Feinstein
- Department of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Christina Mangurian
- Department of Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Riley Bove
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
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Motl RW, Lein DH, Morris DM, Lowman JD, Perez P, Bullard C. Behavior Change Interventions for Health Promotion in Physical Therapist Research and Practice: An Integrative Approach. Phys Ther 2022; 102:6448010. [PMID: 34935964 DOI: 10.1093/ptj/pzab266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 07/26/2021] [Accepted: 09/15/2021] [Indexed: 11/12/2022]
Abstract
There is an increasing focus on health promotion in physical therapist research and practice. A clinical model (Health-Focused Physical Therapy Model) was developed for identifying major steps in the delivery of health promotion focusing on adoption of healthy lifestyle behaviors. One of the primary steps within this model is the design and delivery of behavior change interventions. Such interventions involve coordinated sets of activities that target change in a specific pattern of unhealthy behavior (eg, physical inactivity, smoking). This Perspective contends that the science and practice of behavior change interventions can be significantly advanced in the field of physical therapy (implementation science) through the integration of behavior change frameworks and techniques within the context of an experimental medicine approach for health behavior change. This perspective presents the integration of the Theoretical Domains Framework, the Behavior Change Wheel, including the Capability Opportunity Motivation-Behavior core system, and the Behavior Change Technique Taxonomy as a comprehensive approach for designing and delivering behavior change interventions in physical therapy. An experimental medicine approach is described, outlining a 4-step process in the design, delivery, and evaluation of behavior change interventions that can be applied to health promotion in physical therapist research and practice. The proposed integrative approach can advance public health and health promotion through healthy lifestyle behavior change in the field of physical therapy.
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Affiliation(s)
- Robert W Motl
- Department of Kinesiology and Nutrition, University of Illinois Chicago, Chicago, Illinois, USA
| | - Donald H Lein
- Department of Physical Therapy, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - David M Morris
- Department of Physical Therapy, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - John D Lowman
- Department of Physical Therapy, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Patricia Perez
- Department of Physical Therapy, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Cara Bullard
- Department of Physical Therapy, University of Alabama at Birmingham, Birmingham, Alabama, USA
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Perspectives From Persons With Multiple Sclerosis for a Comprehensive Real-World Change Therapy for Mobility. Arch Rehabil Res Clin Transl 2021; 4:100166. [PMID: 35282147 PMCID: PMC8904863 DOI: 10.1016/j.arrct.2021.100166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Objective To assess the personal perspectives of persons with multiple sclerosis (MS) on the acceptability of a novel physical therapy program that is designed to transfer gains from the clinic to their real-world lower extremity (LE) use, termed LE constraint-induced therapy (CIT). The program includes several behavior change techniques (prescribed home exercises, daily structured therapist interviews and problem solving for LE activities, keeping an activity diary) and a concentrated physical treatment schedule. Design Anonymous internet survey. Setting Participants accessed the survey from computers in the community. Participants Five hundred adults (N=500) were recruited from an MS support organization's registry for having indicated from mild to total limb spasticity because they were anticipated to have markedly impaired LE use in the community. Interventions Not applicable. Main Outcome Measures Participants were offered the options on a nonnumerical Likert scale of “Very likely,” “Likely,” “Neutral,” “Unlikely,” or “Very unlikely” to indicate their personal acceptability for each of 5 different key treatment procedures after these were explained. Totals for each option within each key procedure were analyzed for their acceptability. Results Of the 281 persons who responded, 90% expressed interest in participating in LE CIT. A large majority of persons who completed the survey selected either “Very likely” or “Likely” for each key procedure (median=88%, range=65%-90%, P<.01). This indicated strong acceptance for the procedures of LE CIT. In addition, more respondents who already had had previous physical therapy accepted LE CIT than did respondents who had not had physical therapy (P<.01). Conclusions The results suggest there is strong acceptance of CIT for mobility with preliminary evidence of benefiting community LE use for persons with MS. The results support further clinical trials of LE CIT for persons with MS.
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Block VJ, Gopal A, Rowles W, -Yueh C, Gelfand JM, Bove R. CoachMS, an innovative closed-loop, interdisciplinary platform to monitor and proactively treat MS symptoms: A pilot study. Mult Scler J Exp Transl Clin 2021; 7:2055217321988937. [PMID: 33796329 PMCID: PMC7970691 DOI: 10.1177/2055217321988937] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 12/01/2021] [Indexed: 12/02/2022] Open
Abstract
Background There are numerous challenges to treating co-occurring symptoms in multiple sclerosis (MS). Objective To pilot the feasibility of a novel symptom management platform, CoachMS, to monitor MS symptoms (bladder function, ambulation, and mood: BAM) and respond to changes in real-time. Methods In this 12-week randomized controlled pilot trial, participants’ symptoms were monitored using weekly questionnaires and remote ambulatory monitoring (Fitbit Flex2®). Behavioral change principles used included shared goal setting at 2 weeks. Between weeks 2-12, the CoachMS group received targeted contact and interventions if symptoms worsened; the control group were treated through usual clinic practice. Our outcomes were feasibility (retention, adherence and acceptability; primary) and proportion of recommended treatments pursued (secondary); efficacy was explored. Results Of 21 participants enrolled, 13 (62%) completed the study; protocol adherence was excellent. CoachMS participants demonstrated greater follow-through with clinical recommendations than controls (OR 9.3, 95% CI (0.9, 97.6)). As a cohort, each BAM symptom tended to improve. Suicidality was detected in one control participant, resulting in urgent evaluation and hospitalization. Conclusions The innovative CoachMS platform was feasible and acceptable in this cohort with baseline BAM symptoms. It could represent an accessible, cost-effective tool to monitor MS symptoms in real-time; a larger trial is planned.
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Affiliation(s)
- Valerie J Block
- UCSF Weill Institute for Neurosciences, MS and Neuroinflammation Clinic, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Arpita Gopal
- Department of Physical Therapy and Rehabilitation Science, University of California San Francisco, San Francisco, CA, USA
| | - William Rowles
- UCSF Weill Institute for Neurosciences, MS and Neuroinflammation Clinic, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Chu -Yueh
- UCSF Weill Institute for Neurosciences, MS and Neuroinflammation Clinic, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Jeffrey M Gelfand
- UCSF Weill Institute for Neurosciences, MS and Neuroinflammation Clinic, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Riley Bove
- UCSF Weill Institute for Neurosciences, MS and Neuroinflammation Clinic, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
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