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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT03086655
Other study ID # R01MH109310
Secondary ID R01MH109310
Status Completed
Phase N/A
First received
Last updated
Start date August 13, 2021
Est. completion date January 11, 2023

Study information

Verified date February 2023
Source University of California, San Francisco
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

Currently available methods to monitor antiretroviral (ARV) adherence to HIV treatment and prevention, such as self-report, pill counts, medication electronic monitoring system (MEMS), and devices which wirelessly monitor adherence in real-time, have multiple limitations, including over-reporting, inability to assess pill ingestion, and size/expense. Our multidisciplinary research team at the University of California, San Francisco (UCSF) and in India has designed a new adherence-monitoring device called "Tel-Me-Box" which is small, low-cost, rechargeable, inconspicuous, and could be programmed to deliver tailored real-time adherence reminders following additional hardware modifications. The aim of this study is to modify and validate this discreet Tel-Me-Box (TMB) adherence monitoring and reminder device against hair ARV concentrations as a pharmacologic measure of drug ingestion/adherence, a measure pioneered and validated by our team, with the expectation that this device and intermittent hair monitoring could have widespread utility for HIV and non-HIV adherence science, both in India and globally.


Description:

Novel, validated methods to monitor adherence to HIV treatment in real time are urgently needed given the well-known limitations of self-reported adherence, pill counts, and MEMS caps. In order to be scalable and sustainable in both resource-rich and resource limited settings, such devices need to be low-cost and designed in a way that does not increase the risk of accidental HIV disclosure and subsequent stigma. Devices which both monitor adherence in real time and provide tailored reminders to patients for medication-taking have the potential to greatly improve adherence to HIV treatment as well as to treatment for other chronic diseases. Our Indo-US collaborative team has been conducting research on HIV stigma, ARV adherence patterns and barriers, treatment outcome, and drug resistance for over a decade. The study investigators have also pioneered the use of ARV concentrations in small hair samples to measure long-term ARV adherence in resource-rich and limited settings (RLS). In response to the need for novel adherence measures, our team has recently developed Tel-Me-Box, a small, low-cost adherence device that monitors adherence in real time, by transmitting a wireless signal to a server when opened. The investigators now propose to add hardware that will enable the server software to wirelessly program the device to activate tailored medication-taking reminders (via a beep, vibration, or LED light) after a period of inactivity. The device fits in a pocket, can hold 1-2 weeks' worth of medications, has a long battery life, simple charging capability, and has been found acceptable to Indian patients with adherence challenges in pilot studies. Since HIV stigma serves as a profound barrier to ARV adherence in many settings, including India, the small, inconspicuous nature of Tel-Me-Box, along with its ability to deliver tailored reminder features honors participants' privacy concerns. Since this electronic device monitoring cannot assess actual drug ingestion, validating it against a biological measure of adherence, such as ARV hair concentrations, is crucial. This study includes a pilot randomized control trial (RCT) to examine acceptability and feasibility and to estimate the effect size of automated tailored real-time adherence reminders on hair ARV concentrations, device- monitored adherence, and viral load suppression in adherence-challenged patients. The aim of this study is to validate TMB as an innovative tool to assess adherence and predict treatment outcomes, and demonstrate the feasibility of hair analyses in RLS. If successful, pilot data will be available on the efficacy of the Tel-Me-Box automated, tailored reminders for a future large scale RCT.


Recruitment information / eligibility

Status Completed
Enrollment 131
Est. completion date January 11, 2023
Est. primary completion date January 11, 2023
Accepts healthy volunteers No
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria: - HIV-positive - Currently on antiretroviral therapy (ART) - Speaks one of the local languages - Able and willing to participate in the study, provide informed consent, contact information, and express a willingness to return for follow-up visits every three months for 12 months after baseline. - Adherence-challenged per self-report, i.e. report of <90% ART adherence or >2 ART treatment interruptions of at least 2 days in the past 3 months Exclusion Criteria: - Unwilling or unable to participate in the study and/or return for follow-up appointments - younger than 18 years old - Not HIV-infected - Not currently on ART - Does not speak one of the local languages

Study Design


Related Conditions & MeSH terms


Intervention

Behavioral:
Tel-me-box with reminder features
Participants will meet with a study staff member to go over their daily routines, including their pill taking schedule, and to work out a plan for tailored reminders. The participant will choose from the reminders available and convey their preferences regarding when reminders should be sent for the TMB. Preferences will be stored in an online secure database. If requested by the participant, the reminder schedule and type of reminder can be reprogrammed by study staff via an online portal. When the reminder is reprogrammed the TMB receives a new configuration SMS to update the device reminder settings.
Tel-me-box
Participants receive tel-me-box device with no reminder features added.

Locations

Country Name City State
India St. John & Research Institute/St John & Medical College & Hospital Bangalore Karnataka

Sponsors (2)

Lead Sponsor Collaborator
University of California, San Francisco National Institute of Mental Health (NIMH)

Country where clinical trial is conducted

India, 

References & Publications (23)

Bachman Desilva M, Gifford AL, Keyi X, Li Z, Feng C, Brooks M, Harrold M, Yueying H, Gill CJ, Wubin X, Vian T, Haberer J, Bangsberg D, Sabin L. Feasibility and Acceptability of a Real-Time Adherence Device among HIV-Positive IDU Patients in China. AIDS Res Treat. 2013;2013:957862. doi: 10.1155/2013/957862. Epub 2013 Jul 16. — View Citation

Berg KM, Arnsten JH. Practical and conceptual challenges in measuring antiretroviral adherence. J Acquir Immune Defic Syndr. 2006 Dec 1;43 Suppl 1(Suppl 1):S79-87. doi: 10.1097/01.qai.0000248337.97814.66. — View Citation

Burgess SW, Sly PD, Devadason SG. Providing feedback on adherence increases use of preventive medication by asthmatic children. J Asthma. 2010 Mar;47(2):198-201. doi: 10.3109/02770900903483840. — View Citation

Chesney MA. The elusive gold standard. Future perspectives for HIV adherence assessment and intervention. J Acquir Immune Defic Syndr. 2006 Dec 1;43 Suppl 1:S149-55. doi: 10.1097/01.qai.0000243112.91293.26. — View Citation

Cramer J, Rosenheck R, Kirk G, Krol W, Krystal J; VA Naltrexone Study Group 425. Medication compliance feedback and monitoring in a clinical trial: predictors and outcomes. Value Health. 2003 Sep-Oct;6(5):566-73. doi: 10.1046/j.1524-4733.2003.65269.x. — View Citation

de Bruin M, Hospers HJ, van Breukelen GJ, Kok G, Koevoets WM, Prins JM. Electronic monitoring-based counseling to enhance adherence among HIV-infected patients: a randomized controlled trial. Health Psychol. 2010 Jul;29(4):421-8. doi: 10.1037/a0020335. — View Citation

Farmer KC. Methods for measuring and monitoring medication regimen adherence in clinical trials and clinical practice. Clin Ther. 1999 Jun;21(6):1074-90; discussion 1073. doi: 10.1016/S0149-2918(99)80026-5. — View Citation

Kripalani S, Yao X, Haynes RB. Interventions to enhance medication adherence in chronic medical conditions: a systematic review. Arch Intern Med. 2007 Mar 26;167(6):540-50. doi: 10.1001/archinte.167.6.540. — View Citation

Nair BG, Newman SF, Peterson GN, Wu WY, Schwid HA. Feedback mechanisms including real-time electronic alerts to achieve near 100% timely prophylactic antibiotic administration in surgical cases. Anesth Analg. 2010 Nov;111(5):1293-300. doi: 10.1213/ANE.0b013e3181f46d89. Epub 2010 Sep 14. — View Citation

Navani-Vazirani S, Solomon D, Gopalakrishnan, Heylen E, Srikrishnan AK, Vasudevan CK, Ekstrand ML. Mobile phones and sex work in South India: the emerging role of mobile phones in condom use by female sex workers in two Indian states. Cult Health Sex. 2015;17(2):252-65. doi: 10.1080/13691058.2014.960002. Epub 2014 Oct 10. — View Citation

Nyamathi AM, Sinha S, Ganguly KK, William RR, Heravian A, Ramakrishnan P, Greengold B, Ekstrand M, Rao PV. Challenges experienced by rural women in India living with AIDS and implications for the delivery of HIV/AIDS care. Health Care Women Int. 2011 Apr;32(4):300-13. doi: 10.1080/07399332.2010.536282. — View Citation

Nyamathi AM, William RR, Ganguly KK, Sinha S, Heravian A, Albarran CR, Thomas A, Greengold B, Ekstrand M, Ramakrishna P, Rao PR. Perceptions of Women Living with AIDS in Rural India Related to the Engagement of HIV-Trained Accredited Social Health Activists for Care and Support. J HIV AIDS Soc Serv. 2010 Oct;9(4):385-404. doi: 10.1080/15381501.2010.525474. — View Citation

Patel UB, Ni Q, Clayton C, Lam P, Parks J. An attempt to improve antipsychotic medication adherence by feedback of medication possession ratio scores to prescribers. Popul Health Manag. 2010 Oct;13(5):269-74. doi: 10.1089/pop.2009.0053. — View Citation

Rodriguez DC, Krishnan AK, Kumarasamy N, Krishnan G, Solomon D, Johnson S, Vasudevan CK, Solomon R, Ekstrand ML. Two sides of the same story: alcohol use and HIV risk taking in South India. AIDS Behav. 2010 Aug;14 Suppl 1(Suppl 1):S136-46. doi: 10.1007/s10461-010-9722-z. — View Citation

Ruppar TM. Randomized pilot study of a behavioral feedback intervention to improve medication adherence in older adults with hypertension. J Cardiovasc Nurs. 2010 Nov-Dec;25(6):470-9. doi: 10.1097/JCN.0b013e3181d5f9c5. — View Citation

Sabin LL, DeSilva MB, Hamer DH, Xu K, Zhang J, Li T, Wilson IB, Gill CJ. Using electronic drug monitor feedback to improve adherence to antiretroviral therapy among HIV-positive patients in China. AIDS Behav. 2010 Jun;14(3):580-9. doi: 10.1007/s10461-009-9615-1. — View Citation

Setia MS, Lindan C, Jerajani HR, Kumta S, Ekstrand M, Mathur M, Gogate A, Kavi AR, Anand V, Klausner JD. Men who have sex with men and transgenders in Mumbai, India: an emerging risk group for STIs and HIV. Indian J Dermatol Venereol Leprol. 2006 Nov-Dec;72(6):425-31. doi: 10.4103/0378-6323.29338. — View Citation

Shet A, DeCosta A, Heylen E, Shastri S, Chandy S, Ekstrand M. High rates of adherence and treatment success in a public and public-private HIV clinic in India: potential benefits of standardized national care delivery systems. BMC Health Serv Res. 2011 Oct 17;11:277. doi: 10.1186/1472-6963-11-277. — View Citation

Steward WT, Bharat S, Ramakrishna J, Heylen E, Ekstrand ML. Stigma is associated with delays in seeking care among HIV-infected people in India. J Int Assoc Provid AIDS Care. 2013 Mar-Apr;12(2):103-9. doi: 10.1177/1545109711432315. Epub 2012 Jan 26. — View Citation

Steward WT, Chandy S, Singh G, Panicker ST, Osmand TA, Heylen E, Ekstrand ML. Depression is not an inevitable outcome of disclosure avoidance: HIV stigma and mental health in a cohort of HIV-infected individuals from Southern India. Psychol Health Med. 2011 Jan;16(1):74-85. doi: 10.1080/13548506.2010.521568. — View Citation

Steward WT, Herek GM, Ramakrishna J, Bharat S, Chandy S, Wrubel J, Ekstrand ML. HIV-related stigma: adapting a theoretical framework for use in India. Soc Sci Med. 2008 Oct;67(8):1225-35. doi: 10.1016/j.socscimed.2008.05.032. Epub 2008 Jul 1. — View Citation

Vallabhaneni S, Chandy S, Heylen E, Ekstrand M. Reasons for and correlates of antiretroviral treatment interruptions in a cohort of patients from public and private clinics in southern India. AIDS Care. 2012;24(6):687-94. doi: 10.1080/09540121.2011.630370. Epub 2011 Nov 22. — View Citation

Vallabhaneni S, Chandy S, Heylen E, Ekstrand ML. Evaluation of WHO immunologic criteria for treatment failure: implications for detection of virologic failure, evolution of drug resistance and choice of second-line therapy in India. J Int AIDS Soc. 2013 Jun 3;16(1):18449. doi: 10.7448/IAS.16.1.18449. — View Citation

* Note: There are 23 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary Tel-me-box adherence Percent adherence score for the past month based on device-recorded missed doses, either using only data from the same period as covered by other adherence measures, or averaged over the 3 or 6-month measurement window, depending on analysis with other adherence outcomes. 1 year
Primary ARV Hair concentrations ARV (EFV and NVP) levels in hair samples 1 year
Primary Self-reported adherence Self-report: Participant self report measured using the visual analogue scale to assess percent of pills taken in the past month.
Treatment interruptions: frequency of such interruptions, length of last interruption and typical length of interruptions during the past year.
1 year
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