Clinical trial NCT03993574: Feasibility of a Stroke Specific Self-management Program
Official title: Feasibility of a Stroke Specific Self-management Program
Study type: INTERVENTIONAL
Overall status: UNKNOWN
Phase: NA
Conditions: Stroke
Chronic Conditions
Lead sponsor: The University of Texas Medical Branch, Galveston
Sponsor class: OTHER
Collaborators: name: National Center for Advancing Translational Sciences (NCATS)
name: The Claude D. Pepper Older Americans Independence Centers
First posted: 2019-06-20
Enrollment: 28
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Allocation: RANDOMIZED
Intervention model: PARALLEL
Primary purpose: OTHER

Brief summary: Stroke is a leading cause of disability, institutionalization, readmission and death. This research is being completed to accelerate the adoption of evidence-based therapy practices that improve overall stroke care and outcomes. We will implement a feasibility randomized controlled trial (RCT) studying the implementation of a stroke specific chronic disease self-management program. Specifically, if the person is identified to have a chronic vision impairment identified on the vision screen, a specific low vision self-management program will be used. Otherwise the program that will be used is the generic chronic disease self-management program.

Detailed description: Approximately 75% of people are living with a prevalent chronic disease like diabetes or hypertension. Despite this high percentage, there is a projected increase of 37% by 2030. There are approximately 795,000 people sustaining a stroke each year, in the United States. Surviving a stroke can cost an estimated $34 billion dollars a year in medical costs and loss of productivity. While there is a sharp decline in mortality rate following stroke, the rate of long-term residual impairments, disabilities and risk for developing high rates of secondary chronic conditions remains high. People living with a new stroke can also have chronic conditions in their past medical histories. Management of prior and new conditions may not become evident until the stroke survivor has returned to the community and are no longer receiving medical services. Additionally, management of chronic conditions, especially for people who now are recovering from a stroke, may require different management plans altogether. The Center for Disease Control and Prevention called for a public health action to address chronic illness. One type of community rehabilitation intervention method is self-management.

Self-management was first developed for well-elderly with chronic diseases. These programs support individuals managing their independently managing symptoms as well as help with the emotional and physical stress associated with chronic disease. Multiple research reports conclude that self-management interventions improve health outcomes, help with management of self-identity and reduce health care costs.

There are existing stroke specific self-management programs, however minimal reported research regarding the best way to implement and measure a stroke specific chronic disease self-management program to optimize health outcomes and improve quality of life. Recently, a qualitative study concluded that any stroke specific self-management program should include 3 conceptual layers to address individual, external and environmental factors essential to enable successful implementation. The first conceptual layer is individual capacity or readiness to respond to the demands to self-management. The second is having external support for self-management. And the third is being in an environment that supports and facilitates success. Another study reported strong feasibility evidence for stroke specific self-management programs versus a standard program for community dwelling stroke survivors. A small study reported a program administered to stroke patients that led to changes in self-efficacy.

Consistent with a feasibility study for implementing evidence based intervention, this project intends to address a need to bridge the translation gap between research evidence and clinical practice. This project intends to provide information to add to existing literature regarding implementation. Thus we plan to use the Determinant Framework, which will help specify determinants which act as barriers and enablers that influence implementation outcomes. Additionally, implementation theories will help us assess the implementation context, as we plan to use a checklist to evaluate factors influencing implementation across different domains (e.g. fidelity). This study also intends to provide preliminary data regarding efficacy in order to determine if a stroke specific program was superior to standard care.

Eligibility criteria: Inclusion Criteria:

* Acute hospitalization due to diagnosis of stroke
* at least one chronic medical condition
* must be able to consent independently
* be alert and oriented x 3
* be ≥ 18 years old

Exclusion Criteria:

* unable to independently consent
* they do not speak English
* discharged from acute care to nursing home

Primary outcomes:
measure: Feasibility: Patients Screened
timeFrame: Collected at baseline 1 (24 hours prior to the patients' discharge from acute care)
measure: Feasibility: Eligible Patients
timeFrame: Collected at baseline 1 (24 hours prior to the patients' discharge from acute care)
measure: Feasibility: Patients Approached
timeFrame: Collected at baseline 1 (24 hours prior to the patients' discharge from acute care)
measure: Feasibility: Patients Enrolled
timeFrame: Collected at baseline 1 (24 hours prior to the patients' discharge from acute care)
measure: Feasibility: Patient Refusals
timeFrame: Collected at follow-up (2 weeks from last day of intervention)
measure: Feasibility: Patient Withdrawals
timeFrame: Collected at follow-up (2 weeks from last day of intervention)
Secondary outcomes:
measure: Change in self-reported self-management, as measured by the Southampton Stroke Self-Management Questionnaire
timeFrame: change in self- management from base line 1 (24 hours prior to discharge from acute care) to base line 2 (3 months)
measure: Change in self-reported self-management, as measured by the Southampton Stroke Self-Management Questionnaire
timeFrame: change in self-management from base line 2 (3 months) to follow-up (2 weeks from last day of intervention)
measure: Change in self-reported self-efficacy, as measured by the Patient Reported Outcome Measure Information System (PROMIS) self-efficacy scale
timeFrame: change in self-efficacy from base line 1 (24 hours prior to discharge from acute care), base line 2 (3 months)
measure: Change in self-reported self-efficacy, as measured by the Patient Reported Outcome Measure Information System (PROMIS) self-efficacy scale
timeFrame: change in self-efficacy from base line 2 (3 months) to follow-up (2 weeks from last day of intervention)
measure: Change in self-reported sleep, as measured by the PROMIS sleep disturbance and sleep-related impairments
timeFrame: change in sleep from base line 1 (24 hours prior to discharge from acute care), base line 2 (3 months)
measure: Change in self-reported sleep, as measured by the PROMIS sleep disturbance and sleep-related impairments
timeFrame: change in sleep from base line 2 (3 months) to follow-up (2 weeks from last day of intervention)
measure: Change in self-reported vision, as measured by the national eye institute vision function questionnaire -25
timeFrame: change in vision quality of life from base line 1 (24 hours prior to discharge from acute care) to base line 2 (3 months)
measure: Change in self-reported vision, as measured by the national eye institute vision function questionnaire -25
timeFrame: change in vision quality of life from base line 2 (3 months) to follow-up (2 weeks from last day of intervention)
Other outcomes:
measure: Change in self-reported health distress, as measured by the Health Distress Questionnaire
timeFrame: change in health distress from base line 1 (24 hours prior to discharge from acute care) to base line 2 (3 months)
measure: Change in self-reported health distress, as measured by the Health Distress Questionnaire
timeFrame: change in health distress from base line 2 (3 months) to follow-up (2 weeks from last day of intervention)
Locations:
city: Galveston
country: United States
facility: University of Texas Medical Branch
state: Texas
Study officials:
affiliation: University of Texas
name: Timothy Reistetter, PhD
role: PRINCIPAL_INVESTIGATOR
References:
citation: Benjamin EJ, Blaha MJ, Chiuve SE, Cushman M, Das SR, Deo R, de Ferranti SD, Floyd J, Fornage M, Gillespie C, Isasi CR, Jimenez MC, Jordan LC, Judd SE, Lackland D, Lichtman JH, Lisabeth L, Liu S, Longenecker CT, Mackey RH, Matsushita K, Mozaffarian D, Mussolino ME, Nasir K, Neumar RW, Palaniappan L, Pandey DK, Thiagarajan RR, Reeves MJ, Ritchey M, Rodriguez CJ, Roth GA, Rosamond WD, Sasson C, Towfighi A, Tsao CW, Turner MB, Virani SS, Voeks JH, Willey JZ, Wilkins JT, Wu JH, Alger HM, Wong SS, Muntner P; American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Heart Disease and Stroke Statistics-2017 Update: A Report From the American Heart Association. Circulation. 2017 Mar 7;135(10):e146-e603. doi: 10.1161/CIR.0000000000000485. Epub 2017 Jan 25. No abstract available.
citation: Yang Q, Tong X, Schieb L, Vaughan A, Gillespie C, Wiltz JL, King SC, Odom E, Merritt R, Hong Y, George MG. Vital Signs: Recent Trends in Stroke Death Rates - United States, 2000-2015. MMWR Morb Mortal Wkly Rep. 2017 Sep 8;66(35):933-939. doi: 10.15585/mmwr.mm6635e1.
citation: Proctor E, Silmere H, Raghavan R, Hovmand P, Aarons G, Bunger A, Griffey R, Hensley M. Outcomes for implementation research: conceptual distinctions, measurement challenges, and research agenda. Adm Policy Ment Health. 2011 Mar;38(2):65-76. doi: 10.1007/s10488-010-0319-7.
citation: Bowen DJ, Kreuter M, Spring B, Cofta-Woerpel L, Linnan L, Weiner D, Bakken S, Kaplan CP, Squiers L, Fabrizio C, Fernandez M. How we design feasibility studies. Am J Prev Med. 2009 May;36(5):452-7. doi: 10.1016/j.amepre.2009.02.002.
citation: Boger EJ, Hankins M, Demain SH, Latter SM. Development and psychometric evaluation of a new patient -reported outcome measure for stroke self -management: The Southampton Stroke Self - Management Questionnaire (SSSMQ). Health Qual Life Outcomes. 2015 Oct 3;13:165. doi: 10.1186/s12955-015-0349-7.
citation: Gruber-Baldini AL, Velozo C, Romero S, Shulman LM. Validation of the PROMIS(R) measures of self-efficacy for managing chronic conditions. Qual Life Res. 2017 Jul;26(7):1915-1924. doi: 10.1007/s11136-017-1527-3. Epub 2017 Feb 26.
citation: Buysse DJ, Yu L, Moul DE, Germain A, Stover A, Dodds NE, Johnston KL, Shablesky-Cade MA, Pilkonis PA. Development and validation of patient-reported outcome measures for sleep disturbance and sleep-related impairments. Sleep. 2010 Jun;33(6):781-92. doi: 10.1093/sleep/33.6.781.
citation: Rine RM, Roberts D, Corbin BA, McKean-Cowdin R, Varma R, Beaumont J, Slotkin J, Schubert MC. New portable tool to screen vestibular and visual function--National Institutes of Health Toolbox initiative. J Rehabil Res Dev. 2012;49(2):209-20. doi: 10.1682/jrrd.2010.12.0239.
citation: Lorig K, Stewart A, Ritter P, González V, et al. Outcome Measures for Health Education and Other Health Care Interventions. Thousand Oaks, CA, US: Sage Publications, Inc; 1996.
citation: Harris JR, Wallace RB. The Institute of Medicine's new report on living well with chronic illness. Prev Chronic Dis. 2012;9:E148. doi: 10.5888/pcd9.120126. No abstract available.
citation: Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, de Ferranti S, Despres JP, Fullerton HJ, Howard VJ, Huffman MD, Judd SE, Kissela BM, Lackland DT, Lichtman JH, Lisabeth LD, Liu S, Mackey RH, Matchar DB, McGuire DK, Mohler ER 3rd, Moy CS, Muntner P, Mussolino ME, Nasir K, Neumar RW, Nichol G, Palaniappan L, Pandey DK, Reeves MJ, Rodriguez CJ, Sorlie PD, Stein J, Towfighi A, Turan TN, Virani SS, Willey JZ, Woo D, Yeh RW, Turner MB; American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Heart disease and stroke statistics--2015 update: a report from the American Heart Association. Circulation. 2015 Jan 27;131(4):e29-322. doi: 10.1161/CIR.0000000000000152. Epub 2014 Dec 17. No abstract available.
citation: Laver K, Halbert J, Stewart M, Crotty M. Patient readiness and ability to set recovery goals during the first 6 months after stroke. J Allied Health. 2010 Winter;39(4):e149-54.
citation: Gallacher K, Morrison D, Jani B, Macdonald S, May CR, Montori VM, Erwin PJ, Batty GD, Eton DT, Langhorne P, Mair FS. Uncovering treatment burden as a key concept for stroke care: a systematic review of qualitative research. PLoS Med. 2013;10(6):e1001473. doi: 10.1371/journal.pmed.1001473. Epub 2013 Jun 25.
citation: Allen K, Hazelett S, Jarjoura D, Wright KD, Clough L, Weinhardt J. Improving stroke outcomes: Implementation of a postdischarge care management model. J Clin Outcomes Manag. 2004;11(11):707-714.
citation: Smith ML, Ory MG, Ahn S, Kulinski KP, Jiang L, Horel S, Lorig K. National dissemination of chronic disease self-management education programs: an incremental examination of delivery characteristics. Front Public Health. 2015 Apr 27;2:227. doi: 10.3389/fpubh.2014.00227. eCollection 2014.
citation: Lorig KR, Ritter P, Stewart AL, Sobel DS, Brown BW Jr, Bandura A, Gonzalez VM, Laurent DD, Holman HR. Chronic disease self-management program: 2-year health status and health care utilization outcomes. Med Care. 2001 Nov;39(11):1217-23. doi: 10.1097/00005650-200111000-00008.
citation: Lorig KR, Holman H. Self-management education: history, definition, outcomes, and mechanisms. Ann Behav Med. 2003 Aug;26(1):1-7. doi: 10.1207/S15324796ABM2601_01.
citation: Lorig KR, Sobel DS, Stewart AL, Brown BW Jr, Bandura A, Ritter P, Gonzalez VM, Laurent DD, Holman HR. Evidence suggesting that a chronic disease self-management program can improve health status while reducing hospitalization: a randomized trial. Med Care. 1999 Jan;37(1):5-14. doi: 10.1097/00005650-199901000-00003.
citation: Jones F, Riazi A. Self-efficacy and self-management after stroke: a systematic review. Disabil Rehabil. 2011;33(10):797-810. doi: 10.3109/09638288.2010.511415. Epub 2010 Aug 27.
citation: Kralik D, Koch T, Price K, Howard N. Chronic illness self-management: taking action to create order. J Clin Nurs. 2004 Feb;13(2):259-67. doi: 10.1046/j.1365-2702.2003.00826.x.
citation: Ahn S, Basu R, Smith ML, Jiang L, Lorig K, Whitelaw N, Ory MG. The impact of chronic disease self-management programs: healthcare savings through a community-based intervention. BMC Public Health. 2013 Dec 6;13:1141. doi: 10.1186/1471-2458-13-1141.
citation: Boger EJ, Demain S, Latter S. Self-management: a systematic review of outcome measures adopted in self-management interventions for stroke. Disabil Rehabil. 2013 Aug;35(17):1415-28. doi: 10.3109/09638288.2012.737080. Epub 2012 Nov 21.
citation: Jones F, Mandy A, Partridge C. Changing self-efficacy in individuals following a first time stroke: preliminary study of a novel self-management intervention. Clin Rehabil. 2009 Jun;23(6):522-33. doi: 10.1177/0269215508101749. Epub 2009 Apr 29.
citation: Harwood M, Weatherall M, Talemaitoga A, Barber PA, Gommans J, Taylor W, McPherson K, McNaughton H. Taking charge after stroke: promoting self-directed rehabilitation to improve quality of life--a randomized controlled trial. Clin Rehabil. 2012 Jun;26(6):493-501. doi: 10.1177/0269215511426017. Epub 2011 Nov 15.
citation: Boger EJ, Demain SH, Latter SM. Stroke self-management: a focus group study to identify the factors influencing self-management following stroke. Int J Nurs Stud. 2015 Jan;52(1):175-87. doi: 10.1016/j.ijnurstu.2014.05.006. Epub 2014 May 24.
citation: Battersby M, Hoffmann S, Cadilhac D, Osborne R, Lalor E, Lindley R. 'Getting your life back on track after stroke': a Phase II multi-centered, single-blind, randomized, controlled trial of the Stroke Self-Management Program vs. the Stanford Chronic Condition Self-Management Program or standard care in stroke survivors. Int J Stroke. 2009 Apr;4(2):137-44. doi: 10.1111/j.1747-4949.2009.00261.x.
citation: Cadilhac DA, Hoffmann S, Kilkenny M, Lindley R, Lalor E, Osborne RH, Batterbsy M. A phase II multicentered, single-blind, randomized, controlled trial of the stroke self-management program. Stroke. 2011 Jun;42(6):1673-9. doi: 10.1161/STROKEAHA.110.601997. Epub 2011 Apr 14.
citation: Nilsen P. Making sense of implementation theories, models and frameworks. Implement Sci. 2015 Apr 21;10:53. doi: 10.1186/s13012-015-0242-0.
citation: Carroll C, Patterson M, Wood S, Booth A, Rick J, Balain S. A conceptual framework for implementation fidelity. Implement Sci. 2007 Nov 30;2:40. doi: 10.1186/1748-5908-2-40.
citation: Living a Healthy Life with Chronic Conditions, 4th Edition. https://www.bullpub.com/living-a-healthy-life-with-chronic-conditions-4th-edition.html
citation: Rees G, Keeffe JE, Hassell J, Larizza M, Lamoureux E. A self-management program for low vision: program overview and pilot evaluation. Disabil Rehabil. 2010;32(10):808-15. doi: 10.3109/09638280903304193.