FUND-HF: Financial Support in an Underserved and Low-Income Population With Heart Failure
Study Details
Study Description
Brief Summary
The goal of this clinical trial is to test whether financial support in the form of a one-time $500 stipend would improve medication adherence and quality of life in low-income, socially-needy patients with heart failure with reduced ejection fraction in the post-discharge setting. The main questions it aims to answer are:
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Will financial support improve medication adherence?
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Will financial support improve heart failure quality of life?
Participants will complete surveys on quality of life, social stress, and spending habits at their baseline visit. Participants will be randomly assigned to receive $500 at their baseline visit or $0 at their baseline visit. At their one month visit, medication adherence and quality of life will be assessed. These results will be compared between groups. The group that received $0 at their baseline visit will be provided $500 at their one-month visit and return for a two-month visit. At that visit, medication adherence and quality of life will be assessed. These results will be compared to their one-month results.
Researchers will compare the 1-month medication adherence and quality of life scores between the immediate financial support vs delayed financial support. Researchers will also compare 1-month vs 2-month adherence and quality of life data for participants who were randomized to the delayed financial support group.
Condition or Disease | Intervention/Treatment | Phase |
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N/A |
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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Experimental: Immediate Financial Support This group will receive $500 at the completion of their baseline visit |
Behavioral: Financial Support
A debit card will be loaded with $500 and can be used like a typical debit card.
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Active Comparator: Delayed Financial Support This group will receive no financial support at their completion of their baseline visit, but will receive $500 at their 1-month visit. |
Behavioral: Financial Support
A debit card will be loaded with $500 and can be used like a typical debit card.
|
Outcome Measures
Primary Outcome Measures
- Detection of Serum Levels of Guideline Directed Medical Therapies (GDMT) [1 month]
The first co-primary outcome will be a medication adherence outcome. This will be ascertained using serum therapeutic drug monitoring of guideline directed medical therapies.
- Detection of Serum Levels of Guideline Directed Medical Therapies (GDMT) [2 months]
The first co-primary outcome will be a medication adherence outcome. This will be ascertained using serum therapeutic drug monitoring of guideline directed medical therapies.
- Heart Failure Quality of Life by Kansas City Cardiomyopathy Questionnaire (KCCQ) [1 month]
Quality of life will be ascertained using the KCCQ-12, a validated measure of quality of life among patients with heart failure. The score contains four domains, physical limitation, symptom frequency, quality of life, and social limitations. Each subdomain provides an individual score from 0 to 100, with 0 denoting the worst and 100 denoting the best possible health. These scores are averaged and presented as a summary score.
- Heart Failure Quality of Life by Kansas City Cardiomyopathy Questionnaire (KCCQ) [2 months]
Quality of life will be ascertained using the KCCQ-12, a validated measure of quality of life among patients with heart failure. The score contains four domains, physical limitation, symptom frequency, quality of life, and social limitations. Each subdomain provides an individual score from 0 to 100, with 0 denoting the worst and 100 denoting the best possible health. These scores are averaged and presented as a summary score.
Secondary Outcome Measures
- Self-reported medication adherence by Morisky Medication Adherence Scale [1 month]
Self-reported medication adherence will be captured by the Morisky Medication Adherence Scale. This scale is an eight-item survey. The score ranges from 0-8, with higher scores denoting greater adherence.
- Self-reported medication adherence by Morisky Medication Adherence Scale [2 months]
Self-reported medication adherence will be captured by the Morisky Medication Adherence Scale. This scale is an eight-item survey. The score ranges from 0-8, with higher scores denoting greater adherence.
- Change in social stress [1 months]
This will be captured using the perceived stress scale. This is a ten-item survey assessing perceived stress over the last month. The scores range from 0-40, with higher scores denoting higher perceived stress.
- Change in social stress [2 months]
This will be captured using the perceived stress scale. This is a ten-item survey assessing perceived stress over the last month. The scores range from 0-40, with higher scores denoting higher perceived stress.
Other Outcome Measures
- Psychologic Stress by Kessler Screening Scale [1 Month]
This is a ten-item instrument measuring psychological distress. Each item has a five-level response scale. The range is 10-50, with higher scores denoting greater psychological distress.
- Psychologic Stress by Kessler Screening Scale [2 months]
This is a ten-item instrument measuring psychological distress. Each item has a five-level response scale. The range is 10-50, with higher scores denoting greater psychological distress.
- Number of Emergency Room Visits [1 Month]
This outcome will be captured through review of the electronic medical record and adjudicated using the DFW Hospital Consortium
- Number of Emergency Room Visits [2 Month]
This outcome will be captured through review of the electronic medical record and adjudicated using the DFW Hospital Consortium
- Number of Hospitalizations [1 Month]
This outcome will be captured through review of the electronic medical record and adjudicated using the DFW Hospital Consortium
- Number of Hospitalizations [2 months]
This outcome will be captured through review of the electronic medical record and adjudicated using the DFW Hospital Consortium
- Appointment Completion Rate [1 Month]
This outcome will be captured through review of the electronic medical records
- Appointment Completion Rate [2 months]
This outcome will be captured through review of the electronic medical records
Eligibility Criteria
Criteria
Inclusion Criteria:
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Age > 18
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English speaking participants who completed SOCIAL-HF study surveys
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Ejection Fraction <=40% and eligible for at least one component of GDMT
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Has at least some difficulty paying monthly bills (Somewhat Difficult and Very Difficult)
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Annual household income <130% Federal Poverty Limit
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Have at least two additional social needs based on the following domains:
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Cost-related nonadherence
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Food Insecurity
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Housing Instability
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Transportation Difficulty
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Unemployment
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Household Crowding: Person/Room Ratio >1
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Rent Burden: Rent/Income Ratio >30%
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Low social support
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Interpersonal Violence
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History of Discrimination
Exclusion Criteria:
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Unwilling to return for 1 and 2-month follow-up visits.
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Currently in jail or prison
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Primary residence outside Dallas County
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Legal Blindness
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Systolic blood pressure <90 mmHg on screening
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Contraindications or Intolerance all medications available for therapeutic drug monitoring (metoprolol, losartan, lisinopril, valsartan, and spironolactone)
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Unable to answer orientation questions.
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | UT Southwestern Medical Center | Dallas | Texas | United States | 75235 |
Sponsors and Collaborators
- University of Texas Southwestern Medical Center
Investigators
- Principal Investigator: Ambarish Pandey, MD,MSCS, UT Southwestern Medical Center
Study Documents (Full-Text)
None provided.More Information
Publications
- Akwo EA, Kabagambe EK, Harrell FE Jr, Blot WJ, Bachmann JM, Wang TJ, Gupta DK, Lipworth L. Neighborhood Deprivation Predicts Heart Failure Risk in a Low-Income Population of Blacks and Whites in the Southeastern United States. Circ Cardiovasc Qual Outcomes. 2018 Jan;11(1):e004052. doi: 10.1161/CIRCOUTCOMES.117.004052.
- Barankay I, Reese PP, Putt ME, Russell LB, Loewenstein G, Pagnotti D, Yan J, Zhu J, McGilloway R, Brennan T, Finnerty D, Hoffer K, Chadha S, Volpp KG. Effect of Patient Financial Incentives on Statin Adherence and Lipid Control: A Randomized Clinical Trial. JAMA Netw Open. 2020 Oct 1;3(10):e2019429. doi: 10.1001/jamanetworkopen.2020.19429.
- Greene SJ, Butler J, Albert NM, DeVore AD, Sharma PP, Duffy CI, Hill CL, McCague K, Mi X, Patterson JH, Spertus JA, Thomas L, Williams FB, Hernandez AF, Fonarow GC. Medical Therapy for Heart Failure With Reduced Ejection Fraction: The CHAMP-HF Registry. J Am Coll Cardiol. 2018 Jul 24;72(4):351-366. doi: 10.1016/j.jacc.2018.04.070.
- Heidenreich PA, Albert NM, Allen LA, Bluemke DA, Butler J, Fonarow GC, Ikonomidis JS, Khavjou O, Konstam MA, Maddox TM, Nichol G, Pham M, Pina IL, Trogdon JG; American Heart Association Advocacy Coordinating Committee; Council on Arteriosclerosis, Thrombosis and Vascular Biology; Council on Cardiovascular Radiology and Intervention; Council on Clinical Cardiology; Council on Epidemiology and Prevention; Stroke Council. Forecasting the impact of heart failure in the United States: a policy statement from the American Heart Association. Circ Heart Fail. 2013 May;6(3):606-19. doi: 10.1161/HHF.0b013e318291329a. Epub 2013 Apr 24.
- Henderson KH, Helmkamp LJ, Steiner JF, Havranek EP, Vupputuri SX, Hanratty R, Blair IV, Maertens JA, Dickinson M, Daugherty SL. Relationship Between Social Vulnerability Indicators and Trial Participant Attrition: Findings From the HYVALUE Trial. Circ Cardiovasc Qual Outcomes. 2022 May;15(5):e007709. doi: 10.1161/CIRCOUTCOMES.120.007709. Epub 2022 Apr 14.
- Hood SR, Giazzon AJ, Seamon G, Lane KA, Wang J, Eckert GJ, Tu W, Murray MD. Association Between Medication Adherence and the Outcomes of Heart Failure. Pharmacotherapy. 2018 May;38(5):539-545. doi: 10.1002/phar.2107. Epub 2018 Apr 30.
- Liao L, Allen LA, Whellan DJ. Economic burden of heart failure in the elderly. Pharmacoeconomics. 2008;26(6):447-62. doi: 10.2165/00019053-200826060-00001.
- Riegel B, Lee CS, Ratcliffe SJ, De Geest S, Potashnik S, Patey M, Sayers SL, Goldberg LR, Weintraub WS. Predictors of objectively measured medication nonadherence in adults with heart failure. Circ Heart Fail. 2012 Jul 1;5(4):430-6. doi: 10.1161/CIRCHEARTFAILURE.111.965152. Epub 2012 May 30.
- Volpp KG, Loewenstein G, Troxel AB, Doshi J, Price M, Laskin M, Kimmel SE. A test of financial incentives to improve warfarin adherence. BMC Health Serv Res. 2008 Dec 23;8:272. doi: 10.1186/1472-6963-8-272.
- Volpp KG, Troxel AB, Mehta SJ, Norton L, Zhu J, Lim R, Wang W, Marcus N, Terwiesch C, Caldarella K, Levin T, Relish M, Negin N, Smith-McLallen A, Snyder R, Spettell CM, Drachman B, Kolansky D, Asch DA. Effect of Electronic Reminders, Financial Incentives, and Social Support on Outcomes After Myocardial Infarction: The HeartStrong Randomized Clinical Trial. JAMA Intern Med. 2017 Aug 1;177(8):1093-1101. doi: 10.1001/jamainternmed.2017.2449.
- Wu JR, Frazier SK, Rayens MK, Lennie TA, Chung ML, Moser DK. Medication adherence, social support, and event-free survival in patients with heart failure. Health Psychol. 2013 Jun;32(6):637-46. doi: 10.1037/a0028527. Epub 2012 Jul 2.
- Wu JR, Holmes GM, DeWalt DA, Macabasco-O'Connell A, Bibbins-Domingo K, Ruo B, Baker DW, Schillinger D, Weinberger M, Broucksou KA, Erman B, Jones CD, Cene CW, Pignone M. Low literacy is associated with increased risk of hospitalization and death among individuals with heart failure. J Gen Intern Med. 2013 Sep;28(9):1174-80. doi: 10.1007/s11606-013-2394-4. Epub 2013 Mar 12.
- Wu JR, Moser DK, De Jong MJ, Rayens MK, Chung ML, Riegel B, Lennie TA. Defining an evidence-based cutpoint for medication adherence in heart failure. Am Heart J. 2009 Feb;157(2):285-91. doi: 10.1016/j.ahj.2008.10.001. Epub 2008 Dec 24.
- STU-2022-1033