The Effectiveness of SMS in Improving Antiretroviral Medication Adherence Among Adolescents Living With HIV in Nigeria
STARTA
A Single-blind, Randomized, Parallel Design Study to Assess the Effectiveness of SMS Reminders in Improving ART Adherence Among Adolescents Living With HIV in Nigeria (STARTA Trial-Adolescents)
2 other identifiers
interventional
212
1 country
5
Brief Summary
The non-maintenance of ART adherence is a major barrier to the achievement of optimal treatment outcomes among adolescents living with HIV. ART adherence is a challenge among adolescents living with HIV because of lack of appropriate information, their unique emotional state and lifestyles but the most commonly quoted challenge to adherence is forgetting to take antiretroviral drugs. There is evidence to suggest that short message service (SMS) reminder- interventions may enhance drug compliance among adolescents living with other chronic diseases such as asthma and diabetes. Available literature underscores the need for randomized controlled trials (RCTs) of effective interventions to promote ART adherence among adolescents with HIV. The aim of this study is to evaluate the feasibility, acceptability, and efficacy of interactive and tailored SMS reminders on ART adherence among adolescents (15-19 years) living with HIV in Ogun State, Nigeria. The study hypothesizes that the use of personal mobile phones and SMS reminders for the improvement of ART adherence among adolescents living with HIV are feasible, acceptable, and effective. A single-blind, parallel-design (ratio 1:1), and multi-center RCT of 230 adolescent living with HIV who are non-adherent to medications will be conducted over a one-year period in Southwest Nigeria. All the participants will receive routine adherence counseling during clinic visits and one SMS reminder each for follow-up appointments 48 hours and 24 hours before the follow-up visit date. The intervention group will also receive daily ART adherence reminder SMS. Participants will be assessed at baseline and during follow-up visits at 4, 8, 12, 16 and 20 weeks after the baseline. Baseline assessment of participants will include socio-demographic characteristics; HIV/AIDS risk behaviour assessment, Alcohol and Drug abuse assessment, Client Satisfaction Survey, ART adherence assessment, CD4count and viral load assessments. ART adherence and client satisfaction will be assessed at each follow-up visit while CD4count and viral load assessments will be done at baseline and at 20th week. It is possible that tailored SMS reminders will mitigate the barrier of forgetfulness in ART-adherence and lead to improved drug compliance, viral suppression, and quality of life among adolescents living with HIV.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable hiv-infections
Started Jul 2018
Shorter than P25 for not_applicable hiv-infections
5 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
December 28, 2017
CompletedFirst Posted
Study publicly available on registry
January 9, 2018
CompletedStudy Start
First participant enrolled
July 5, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 3, 2019
CompletedStudy Completion
Last participant's last visit for all outcomes
June 30, 2019
CompletedResults Posted
Study results publicly available
November 15, 2019
CompletedNovember 15, 2019
November 1, 2019
10 months
December 28, 2017
September 14, 2019
November 13, 2019
Conditions
Keywords
Outcome Measures
Primary Outcomes (4)
ART Adherence at 20 Weeks as Determined by VAS, Viral Load
ART adherence is assessed by different well-validated methods. In this study, ART adherence will be measured, primarily, using the self-report visual analog scale. The scale is well-validated, self-report of the level of ART adherence with a range from 0 to 100%. While higher values indicate better levels of adherence, patients with adherence levels of 95% and above are regarded as ART-adherent while those with values less than 95% are not adherent to ART medications. Viral load is the number of copies of viral RNA detected in participants' blood. Participants with viral load \</=20 copies per ml are regarded to have optimal viral suppression indicative of optimal adherence to medications.
20week [End of study]
ART Adherence at 20 Weeks as Determined by Pill Counts, ACTG Adherence Questionnaire, and VAS Scores
AIDS Clinical Trials Group Scale scores range from 0 to 1. The higher scores reflect better ART adherence Pill count scores also range from 0 to 1 and the higher scores also reflect better adherence. Visual analog scale \[VAS\] adherence ranges between 0 and 100%. Higher scores reflect better ART adherence
20week [End of study]
ART Adherence at 20 Weeks as Determined by Viral Load Count
Viral load count is measured in copies per ml. The minimum value is 0. There is no maximum value. The higher values reflect poor adherence
20 week [End of study]
ART Adherence at 20 Weeks as Determined by Log of Viral Load Count
log of viral load count is log 10 transformation of the viral load values
20week [End of study]
Secondary Outcomes (2)
Patient Satisfaction Score at 20 Weeks
End of Study (20weeks)
Number of Participants With Mental Distress Determined by General Health Questionnaire 12 at 20 Weeks
End of study (20weeks)
Study Arms (2)
Intervention group
EXPERIMENTALDaily ART-adherence SMS reminder
Control group
ACTIVE COMPARATORStandard adherence counselling/Patient experience group chat
Interventions
Interactive and tailored SMS reminders that are acceptable to the participants to remind them to take their medications and to make clinic attendance.
All the participants will receive the standard adherence counselling by trained counsellors at each visit. All participants will also be enlisted in a group chat on social media where they will discuss their experiences with the quality of HIV services rendered at their respective clinics. A specialist who will have very minimal involvement will give weekly feedback and counsel on how best to resolve prominent challenges.
Eligibility Criteria
You may qualify if:
- HIV seropositivity
- Being on ART for at least three month
- Age 15 to 19 years as at last birthday
- Use of personal mobile phone
- Poor adherence to ART
You may not qualify if:
- Adolescents who are too ill to require hospital admission will be excluded from the study.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (5)
Lagos State University Teaching Hospital
Ikeja, Lagos, Nigeria
The Nigerian Institute of Medical Research
Yaba, Lagos, Nigeria
Federal Medical Center
Abeokuta, Ogun State, Nigeria
State Hospital
Ijebu Ode, Ogun State, Nigeria
State Hospital
Ota, Ogun State, Nigeria
Related Publications (28)
Dowshen N, Kuhns LM, Johnson A, Holoyda BJ, Garofalo R. Improving adherence to antiretroviral therapy for youth living with HIV/AIDS: a pilot study using personalized, interactive, daily text message reminders. J Med Internet Res. 2012 Apr 5;14(2):e51. doi: 10.2196/jmir.2015.
PMID: 22481246BACKGROUNDCohen MS, Chen YQ, McCauley M, Gamble T, Hosseinipour MC, Kumarasamy N, Hakim JG, Kumwenda J, Grinsztejn B, Pilotto JH, Godbole SV, Mehendale S, Chariyalertsak S, Santos BR, Mayer KH, Hoffman IF, Eshleman SH, Piwowar-Manning E, Wang L, Makhema J, Mills LA, de Bruyn G, Sanne I, Eron J, Gallant J, Havlir D, Swindells S, Ribaudo H, Elharrar V, Burns D, Taha TE, Nielsen-Saines K, Celentano D, Essex M, Fleming TR; HPTN 052 Study Team. Prevention of HIV-1 infection with early antiretroviral therapy. N Engl J Med. 2011 Aug 11;365(6):493-505. doi: 10.1056/NEJMoa1105243. Epub 2011 Jul 18.
PMID: 21767103BACKGROUNDMcMahon JH, Elliott JH, Bertagnolio S, Kubiak R, Jordan MR. Viral suppression after 12 months of antiretroviral therapy in low- and middle-income countries: a systematic review. Bull World Health Organ. 2013 May 1;91(5):377-385E. doi: 10.2471/BLT.12.112946. Epub 2013 Feb 21.
PMID: 23678201BACKGROUNDNaar-King S, Templin T, Wright K, Frey M, Parsons JT, Lam P. Psychosocial factors and medication adherence in HIV-positive youth. AIDS Patient Care STDS. 2006 Jan;20(1):44-7. doi: 10.1089/apc.2006.20.44.
PMID: 16426155BACKGROUNDRao D, Kekwaletswe TC, Hosek S, Martinez J, Rodriguez F. Stigma and social barriers to medication adherence with urban youth living with HIV. AIDS Care. 2007 Jan;19(1):28-33. doi: 10.1080/09540120600652303.
PMID: 17129855BACKGROUNDGlikman D, Walsh L, Valkenburg J, Mangat PD, Marcinak JF. Hospital-based directly observed therapy for HIV-infected children and adolescents to assess adherence to antiretroviral medications. Pediatrics. 2007 May;119(5):e1142-8. doi: 10.1542/peds.2006-2614. Epub 2007 Apr 23.
PMID: 17452493BACKGROUNDFjeldsoe BS, Marshall AL, Miller YD. Behavior change interventions delivered by mobile telephone short-message service. Am J Prev Med. 2009 Feb;36(2):165-73. doi: 10.1016/j.amepre.2008.09.040.
PMID: 19135907BACKGROUNDWei J, Hollin I, Kachnowski S. A review of the use of mobile phone text messaging in clinical and healthy behaviour interventions. J Telemed Telecare. 2011;17(1):41-8. doi: 10.1258/jtt.2010.100322. Epub 2010 Nov 19.
PMID: 21097565BACKGROUNDHung SH, Tseng HC, Tsai WH, Lin HH, Cheng JH, Chang YM. Care for Asthma via Mobile Phone (CAMP). Stud Health Technol Inform. 2007;126:137-43.
PMID: 17476056BACKGROUNDFranklin VL, Waller A, Pagliari C, Greene SA. A randomized controlled trial of Sweet Talk, a text-messaging system to support young people with diabetes. Diabet Med. 2006 Dec;23(12):1332-8. doi: 10.1111/j.1464-5491.2006.01989.x.
PMID: 17116184BACKGROUNDMiloh T, Annunziato R, Arnon R, Warshaw J, Parkar S, Suchy FJ, Iyer K, Kerkar N. Improved adherence and outcomes for pediatric liver transplant recipients by using text messaging. Pediatrics. 2009 Nov;124(5):e844-50. doi: 10.1542/peds.2009-0415. Epub 2009 Oct 12.
PMID: 19822583BACKGROUNDLester RT, Mills EJ, Kariri A, Ritvo P, Chung M, Jack W, Habyarimana J, Karanja S, Barasa S, Nguti R, Estambale B, Ngugi E, Ball TB, Thabane L, Kimani J, Gelmon L, Ackers M, Plummer FA. The HAART cell phone adherence trial (WelTel Kenya1): a randomized controlled trial protocol. Trials. 2009 Sep 22;10:87. doi: 10.1186/1745-6215-10-87.
PMID: 19772596BACKGROUNDHorvath T, Azman H, Kennedy GE, Rutherford GW. Mobile phone text messaging for promoting adherence to antiretroviral therapy in patients with HIV infection. Cochrane Database Syst Rev. 2012 Mar 14;2012(3):CD009756. doi: 10.1002/14651858.CD009756.
PMID: 22419345BACKGROUNDHeron KE, Smyth JM. Ecological momentary interventions: incorporating mobile technology into psychosocial and health behaviour treatments. Br J Health Psychol. 2010 Feb;15(Pt 1):1-39. doi: 10.1348/135910709X466063. Epub 2009 Jul 28.
PMID: 19646331BACKGROUNDCole-Lewis H, Kershaw T. Text messaging as a tool for behavior change in disease prevention and management. Epidemiol Rev. 2010;32(1):56-69. doi: 10.1093/epirev/mxq004. Epub 2010 Mar 30.
PMID: 20354039BACKGROUNDKalichman SC, Amaral CM, Swetzes C, Jones M, Macy R, Kalichman MO, Cherry C. A simple single-item rating scale to measure medication adherence: further evidence for convergent validity. J Int Assoc Physicians AIDS Care (Chic). 2009 Nov-Dec;8(6):367-74. doi: 10.1177/1545109709352884.
PMID: 19952289BACKGROUNDGiordano TP, Guzman D, Clark R, Charlebois ED, Bangsberg DR. Measuring adherence to antiretroviral therapy in a diverse population using a visual analogue scale. HIV Clin Trials. 2004 Mar-Apr;5(2):74-9. doi: 10.1310/JFXH-G3X2-EYM6-D6UG.
PMID: 15116282BACKGROUNDKalichman SC, Kalichman MO, Cherry C, Swetzes C, Amaral CM, White D, Jones M, Grebler T, Eaton L. Brief behavioral self-regulation counseling for HIV treatment adherence delivered by cell phone: an initial test of concept trial. AIDS Patient Care STDS. 2011 May;25(5):303-10. doi: 10.1089/apc.2010.0367. Epub 2011 Apr 2.
PMID: 21457056BACKGROUNDBam K, Rajbhandari RM, Karmacharya DB, Dixit SM. Strengthening adherence to Anti Retroviral Therapy (ART) monitoring and support: operation research to identify barriers and facilitators in Nepal. BMC Health Serv Res. 2015 May 5;15:188. doi: 10.1186/s12913-015-0846-8.
PMID: 25939593BACKGROUNDWatt MH, Maman S, Golin CE, Earp JA, Eng E, Bangdiwala SI, Jacobson M. Factors associated with self-reported adherence to antiretroviral therapy in a Tanzanian setting. AIDS Care. 2010 Mar;22(3):381-9. doi: 10.1080/09540120903193708.
PMID: 20390519BACKGROUNDMontazeri A, Harirchi AM, Shariati M, Garmaroudi G, Ebadi M, Fateh A. The 12-item General Health Questionnaire (GHQ-12): translation and validation study of the Iranian version. Health Qual Life Outcomes. 2003 Nov 13;1:66. doi: 10.1186/1477-7525-1-66.
PMID: 14614778BACKGROUNDPurdy JB, Freeman AF, Martin SC, Ryder C, Elliott-DeSorbo DK, Zeichner S, Hazra R. Virologic response using directly observed therapy in adolescents with HIV: an adherence tool. J Assoc Nurses AIDS Care. 2008 Mar-Apr;19(2):158-65. doi: 10.1016/j.jana.2007.08.003.
PMID: 18328966BACKGROUNDPop-Eleches C, Thirumurthy H, Habyarimana JP, Zivin JG, Goldstein MP, de Walque D, MacKeen L, Haberer J, Kimaiyo S, Sidle J, Ngare D, Bangsberg DR. Mobile phone technologies improve adherence to antiretroviral treatment in a resource-limited setting: a randomized controlled trial of text message reminders. AIDS. 2011 Mar 27;25(6):825-34. doi: 10.1097/QAD.0b013e32834380c1.
PMID: 21252632BACKGROUNDDonenberg GR, Schwartz RM, Emerson E, Wilson HW, Bryant FB, Coleman G. Applying a cognitive-behavioral model of HIV risk to youths in psychiatric care. AIDS Educ Prev. 2005 Jun;17(3):200-16. doi: 10.1521/aeap.17.4.200.66532.
PMID: 16006207BACKGROUNDNugent NR, Brown LK, Belzer M, Harper GW, Nachman S, Naar-King S; Adolescent Trials Network for HIV/AIDS Interventions. Youth living with HIV and problem substance use: elevated distress is associated with nonadherence and sexual risk. J Int Assoc Physicians AIDS Care (Chic). 2010 Mar-Apr;9(2):113-5. doi: 10.1177/1545109709357472. Epub 2010 Feb 4.
PMID: 20133498BACKGROUNDShacham E, Estlund A, Presti R. Viral suppression among young adults in a US outpatient clinic. BMC Infectious Diseases 14(Suppl 2): P76, 2014. https://doi.org/10.1186/1471-2334-14-S2-P76
BACKGROUNDAbiodun O, Jagun O, Sodeinde K, Bamidele F, Adekunle M, David A. Socioeconomic, clinical, and behavioral characteristics of adolescents living with HIV in Southwest Nigeria: implication for preparedness for transition to adult care. AIDS Care. 2022 Mar;34(3):315-323. doi: 10.1080/09540121.2021.1906402. Epub 2021 Mar 25.
PMID: 33764812DERIVEDPalmer MJ, Henschke N, Villanueva G, Maayan N, Bergman H, Glenton C, Lewin S, Fonhus MS, Tamrat T, Mehl GL, Free C. Targeted client communication via mobile devices for improving sexual and reproductive health. Cochrane Database Syst Rev. 2020 Jul 14;8(8):CD013680. doi: 10.1002/14651858.CD013680.
PMID: 32779730DERIVED
Related Links
- AIDSInfo for Nigeria
- Nigeria's Phone subscribers increase to 152.1 million
- AIDS Law Brief; Age of Consent for HIV Testing and Counseling in Nigeria
- Drug Abuse Screening Test (DAST) - Adolescent Version
- ACTG Adherence Baseline and Follow up Questionnaires
- ADOLESCENT HIV TESTING, COUNSELLING AND CARE Implementation guidance for health providers and planners
- Teens and Mobile Phones
- The Alcohol Use Disorders Identification Test: Interview version
- Is a simple self-rating or visual analogue scale more accurate than prescription refill data, as an indicator of non-adherence in a resource-limited setting in South Africa?
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Results Point of Contact
- Title
- Dr. Olumide ABIODUN
- Organization
- Babcock University
Study Officials
- PRINCIPAL INVESTIGATOR
Olumide ABIODUN, FWACP
Babcock University
Publication Agreements
- PI is Sponsor Employee
- No
- Restrictive Agreement
- No
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- TRIPLE
- Who Masked
- CARE PROVIDER, INVESTIGATOR, OUTCOMES ASSESSOR
- Masking Details
- The investigators, data manager, research assistants, counselors and other project staff will be blinded throughout the study. An independent medical internet technology firm will be contracted to randomize participants and to send the required SMS to the participants. After scientific review has been completed and data collection has been completed, at the point of analysis, a list of participants' unique identifiers in two groups will be sent to the data analysts without specifying which the investigation or control group is. The blinding of the clinical database will finally be removed after final data analysis has been completed.
- Purpose
- SUPPORTIVE CARE
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Senior Lecturer and Honorary Consultant
Study Record Dates
First Submitted
December 28, 2017
First Posted
January 9, 2018
Study Start
July 5, 2018
Primary Completion
May 3, 2019
Study Completion
June 30, 2019
Last Updated
November 15, 2019
Results First Posted
November 15, 2019
Record last verified: 2019-11
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL
- Time Frame
- June 30th, 2019 to June 29th, 2020
- Access Criteria
- Open access Other information will be available upon reasonable request
(De-identified) IPD may be shared with other researchers upon reasonable request