HIV/AIDS Clinical Trial
— INMINDOfficial title:
INcentives and ReMINDers to Improve Long-term Medication Adherence
Verified date | July 2023 |
Source | RAND |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
The study will test the feasibility and acceptability of using text messages and behavioral economics-based incentives to support anchoring Anti-Retroviral Therapy (ART) adherence to an existing routine in order to improve long-term ART medication adherence. The intervention phase of the three-phased study will constitute the pilot RCT. A sample of 150 clients who have initiated ART in the preceding three months will be randomized to either usual care (C = 50) or one of the two INMIND intervention groups (daily text message reminders with or without incentives) for three months (T1 = 50; T2=50). Subsequently, behavioral persistence will be evaluated for six months post-intervention. Assessments will be conducted at baseline, month 3, and month 9. The primary outcomes are 1) electronically measured mean medication adherence during the intervention and 2) six months post intervention, along with 3) timeliness of medication adherence during the intervention and 4) six months post-intervention.
Status | Active, not recruiting |
Enrollment | 166 |
Est. completion date | August 31, 2024 |
Est. primary completion date | December 31, 2023 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - Male and female clients age 18 and older. - Started ART at Mildmay or another clinic within the preceding three months but have since been receiving care at Mildmay. - Able to speak and understand either English or Luganda. - Have their own cell phone or have consistent access to someone else's phone. - Willing to receive daily text messages for the 3 months of intervention duration. - Willing and able to use the MEMS caps distributed for adherence verification for the duration of the study. Exclusion Criteria: - Not mentally fit to consent. - Language other than Luganda or English. - Not willing to consistently use the MEMS caps device for adherence measurement. |
Country | Name | City | State |
---|---|---|---|
Uganda | Mildmay Uganda Limited | Kampala |
Lead Sponsor | Collaborator |
---|---|
RAND | Arizona State University, Mildmay Uganda Limited, National Institute of Mental Health (NIMH) |
Uganda,
Jennings Mayo-Wilson L, Devoto B, Coleman J, Mukasa B, Shelton A, MacCarthy S, Saya U, Chemusto H, Linnemayr S. Habit formation in support of antiretroviral medication adherence in clinic-enrolled HIV-infected adults: a qualitative assessment using free-listing and unstructured interviewing in Kampala, Uganda. AIDS Res Ther. 2020 Jun 8;17(1):30. doi: 10.1186/s12981-020-00283-2. — View Citation
Lally P, Wardle J, Gardner B. Experiences of habit formation: a qualitative study. Psychol Health Med. 2011 Aug;16(4):484-9. doi: 10.1080/13548506.2011.555774. — View Citation
Linnemayr S, Huang H, Luoto J, Kambugu A, Thirumurthy H, Haberer JE, Wagner G, Mukasa B. Text Messaging for Improving Antiretroviral Therapy Adherence: No Effects After 1 Year in a Randomized Controlled Trial Among Adolescents and Young Adults. Am J Public Health. 2017 Dec;107(12):1944-1950. doi: 10.2105/AJPH.2017.304089. Epub 2017 Oct 19. — View Citation
Linnemayr S, Stecher C, Mukasa B. Behavioral economic incentives to improve adherence to antiretroviral medication. AIDS. 2017 Mar 13;31(5):719-726. doi: 10.1097/QAD.0000000000001387. — View Citation
Linnemayr S, Stecher C. Behavioral Economics Matters for HIV Research: The Impact of Behavioral Biases on Adherence to Antiretrovirals (ARVs). AIDS Behav. 2015 Nov;19(11):2069-75. doi: 10.1007/s10461-015-1076-0. — View Citation
Phillips LA, Gardner B. Habitual exercise instigation (vs. execution) predicts healthy adults' exercise frequency. Health Psychol. 2016 Jan;35(1):69-77. doi: 10.1037/hea0000249. Epub 2015 Jul 6. — View Citation
Ruppar TM, Russell CL. Medication adherence in successful kidney transplant recipients. Prog Transplant. 2009 Jun;19(2):167-72. doi: 10.1177/152692480901900211. — View Citation
Stecher C, Linnemayr S. Promoting antiretroviral therapy adherence habits: a synthesis of economic and psychological theories of habit formation. AIDS. 2021 Apr 1;35(5):711-716. doi: 10.1097/QAD.0000000000002792. No abstract available. — View Citation
Stecher C, Mukasa B, Linnemayr S. Uncovering a behavioral strategy for establishing new habits: Evidence from incentives for medication adherence in Uganda. J Health Econ. 2021 May;77:102443. doi: 10.1016/j.jhealeco.2021.102443. Epub 2021 Mar 16. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Electronically measured mean medication adherence during intervention | MEMS-data will be collected continuously over the course of the three-month intervention period allowing us to investigate mean adherence. Only one of the ART medications will be used to calculate the primary adherence variable (# of actual bottle openings / # of prescribed bottle openings). | Three months | |
Primary | Electronically measured mean medication adherence post intervention | MEMS-data will be collected continuously over the course of the six-month post intervention period allowing for the investigation of post-intervention mean adherence. Only one of the ART medications will be used to calculate the primary adherence variable (# of actual bottle openings / # of prescribed bottle openings). | Six months post-intervention | |
Primary | Routinization of ART adherence during intervention | A novel measure of routine adherence (that it is explicitly based on the temporal pattern of pill-taking) will be used. It is calculated as the fraction of scheduled pills taken within a one-hour window around the typical time that participants report completing their existing routine behavior that anchors their pill-taking. This measure provides an objective way for determining behavioral automaticity of pill-taking. | Three months | |
Primary | Routinization of ART adherence post-intervention | This measure would be calculated as a fraction of scheduled pills taken within a one-hour window around the typical time that participants report completing their existing routine behavior that anchors their pill-taking, for all visits made post-intervention. | Six months post-intervention | |
Secondary | Retention in care | Retention in care will be measured as the fraction of participants recruited who are still active clients at the clinic at month 9. | Month 9 | |
Secondary | Viral Suppression | HIV RNA (viral load) is the secondary outcome measure, and the investigators will also examine intervention effects on mean change in log-transformed viral load. Viral loads are now part of routine clinical care in Uganda and will be chart abstracted. | Month 9 |
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