Self-verification and Support Via Mobile Phones Drastically Improves Tuberculosis Treatment Success in LMIC Settings
Delivering Community-based Interventions and Disease Management Tools Across a Digital Platform in Order to Increase TB Treatment Adherence in LMICs
1 other identifier
interventional
1,190
0 countries
N/A
Brief Summary
Each year, 10.4 million patients are diagnosed with and 1.8 million people die from Tuberculosis (TB). Despite the availability of highly effective and accessible medications in the developing world where TB is endemic, the 6-18 month treatment regimen is often thwarted as patients fail to comply due to a lack of knowledge about the disease, desire for privacy, and/or stigma avoidance. Inappropriate medication use leading to multi-drug resistant (MDR) TB infects 5% of all TB patients, yet accounts for a significant proportion of all spending. In Kenya, the burden of TB is among the highest in the world with a prevalence rate of 558 cases per 100,000 people. There is a great need for the development of alternative protocols, which reduce the costs of treatment and burden of adherence, and more effectively motivate patients to adhere to the program. A substantial and growing literature in the social sciences demonstrates the potential of behavioral interventions for generating large increases in contributions to public goods. This 1200 participant, Randomized Controlled Trial (RCT) explores the capacity of Keheala, a feature-phone and Internet-based digital platform that uses Unstructured Supplementary Service Data (USSD) technology, to deliver behavioral interventions for improving treatment adherence, outcomes and quality of life for TB patients in Nairobi, Kenya. Keheala taps into this underutilized potential by developing a powerful, cost-effective platform for better engaging patients' sense of responsibility to their community in order to increase adherence.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Jan 2016
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 4, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2016
CompletedStudy Completion
Last participant's last visit for all outcomes
April 14, 2017
CompletedFirst Submitted
Initial submission to the registry
April 27, 2017
CompletedFirst Posted
Study publicly available on registry
May 1, 2017
CompletedJuly 23, 2019
July 1, 2019
12 months
April 27, 2017
July 18, 2019
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Unsuccessful Treatment Outcomes
The proportion of individuals who failed to successfully complete the treatment.
One year
Study Arms (2)
Standard of Care (Control)
ACTIVE COMPARATORKeheala Intervention (Treatment)
EXPERIMENTALThe intervention consisted of a daily request for self-verification of medication adherence, access to a supporter via a chat client, and information about TB.
Interventions
Patients receive medication for a week or two weeks at a time. They are assigned a friend or family member 'supporter' to verify the patient's at-home treatment and instructed to return to the clinic with the patient during medication refills.
Eligibility Criteria
You may qualify if:
- Clinically diagnosed with TB by smear microscopy, culture or Gene Xpert.
- Communicate in either Swahili or English.
- Already have access to a mobile phone.
You may not qualify if:
- \- Diagnosed with a drug-resistant strain of TB.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Yale Universitylead
- United States Agency for International Development (USAID)collaborator
- Kehealacollaborator
- MIT's Applied Cooperation Teamcollaborator
- Kenya National Tuberculosis, Leprosy and Lung Disease Programcollaborator
Related Publications (25)
Allcott, H. (2011). Social norms and energy conservation. Journal of Public Economics, 95(9), 1082-1095.
BACKGROUNDAndreoni, J., Rao, J. M., & Trachtman, H. (2011). Avoiding the ask: a field experiment on altruism, empathy, and charitable giving (No. w17648). National Bureau of Economic Research.
BACKGROUNDAyres, I., Raseman, S., & Shih, A. (2013). Evidence from two large field experiments that peer comparison feedback can reduce residential energy usage. Journal of Law, Economics, and Organization, 29(5), 992-1022.
BACKGROUNDGehlbach, H., Brinkworth, M. E., King, A., Hsu, L., McIntyre, J., & Rogers, T. T. (2015). Creating birds of similar feathers: Leveraging similarity to improve teacher-student relationships and academic achievement.
BACKGROUNDGollwitzer, P. M. (1999). Implementation intentions: strong effects of simple plans. American psychologist, 54(7), 493.
BACKGROUNDHallsworth, M., List, J. A., Metcalfe, R. D., & Vlaev, I. (2015). The Making of Homo Honoratus: From Omission to Commission (No. w21210). National Bureau of Economic Research.
BACKGROUNDHewstone M, Rubin M, Willis H. Intergroup bias. Annu Rev Psychol. 2002;53:575-604. doi: 10.1146/annurev.psych.53.100901.135109.
PMID: 11752497BACKGROUNDKarlin B, Zinger JF, Ford R. The effects of feedback on energy conservation: A meta-analysis. Psychol Bull. 2015 Nov;141(6):1205-27. doi: 10.1037/a0039650. Epub 2015 Sep 21.
PMID: 26390265BACKGROUNDKnutsson, M., Martinsson, P., & Wollbrant, C. (2013). Do people avoid opportunities to donate?: A natural field experiment on recycling and charitable giving. Journal of Economic Behavior & Organization, 93, 71-77.
BACKGROUNDKraft-Todd, G., Yoeli, E., Bhanot, S., & Rand, D. (2015). Promoting cooperation in the field. Current Opinion in Behavioral Sciences, 3, 96-101.
BACKGROUNDMalhotra, N., Michelson, M. R., Rogers, T., & Valenzuela, A. A. (2011). Text messages as mobilization tools: The conditional effect of habitual voting and election salience. American Politics Research, 39(4), 664-681.
BACKGROUNDPrestwich A, Perugini M, Hurling R. Can the effects of implementation intentions on exercise be enhanced using text messages? Psychol Health. 2009 Jul;24(6):677-87. doi: 10.1080/08870440802040715.
PMID: 20205020BACKGROUNDRand, D. G., Yoeli, E., & Hoffman, M. (2014). Harnessing reciprocity to promote cooperation and the provisioning of public goods. Policy Insights from the Behavioral and Brain Sciences, 1(1), 263-269.
BACKGROUNDRege, M., & Telle, K. (2004). The impact of social approval and framing on cooperation in public good situations. Journal of public Economics, 88(7), 1625-1644.
BACKGROUNDResearch Center, Pew (2014, February 13). Emerging Nations Embrace Internet, Mobile Technology. Retrieved December 23, 2015, from http://www.pewglobal.org/2014/02/13/emerging-nations-embrace-internet-mobile-technology/
BACKGROUNDRodgers A, Corbett T, Bramley D, Riddell T, Wills M, Lin RB, Jones M. Do u smoke after txt? Results of a randomised trial of smoking cessation using mobile phone text messaging. Tob Control. 2005 Aug;14(4):255-61. doi: 10.1136/tc.2005.011577.
PMID: 16046689BACKGROUNDRogers, T., Milkman, K., John, L., & Norton, M. I. (2013). Making the best-laid plans better: how plan making increases follow-through. Cambridge, MA: Work. Pap., Harvard Univ.
BACKGROUNDSpranca, M., Minsk, E., & Baron, J. (1991). Omission and commission in judgment and choice. Journal of experimental social psychology, 27(1), 76-105.
BACKGROUNDTB ARC - Centre for Health Solutions. (n.d.). Retrieved 2015, from http://www.chskenya.org/what-we-do/tb-arc/
BACKGROUNDTiemersma EW, van der Werf MJ, Borgdorff MW, Williams BG, Nagelkerke NJ. Natural history of tuberculosis: duration and fatality of untreated pulmonary tuberculosis in HIV negative patients: a systematic review. PLoS One. 2011 Apr 4;6(4):e17601. doi: 10.1371/journal.pone.0017601.
PMID: 21483732BACKGROUNDTola HH, Tol A, Shojaeizadeh D, Garmaroudi G. Tuberculosis Treatment Non-Adherence and Lost to Follow Up among TB Patients with or without HIV in Developing Countries: A Systematic Review. Iran J Public Health. 2015 Jan;44(1):1-11.
PMID: 26060770BACKGROUNDTuberculosis. (2015, October 1). Retrieved December 12, 2014, from http://www.who.int/mediacentre/factsheets/fs104/en/
BACKGROUNDWHO. (2014). Global Tuberculosis Report 2014. World Health Organization.
BACKGROUNDWHO. (2015). Global Tuberculosis Report 2015. World Health Organization.
BACKGROUNDYoeli E, Hoffman M, Rand DG, Nowak MA. Powering up with indirect reciprocity in a large-scale field experiment. Proc Natl Acad Sci U S A. 2013 Jun 18;110 Suppl 2(Suppl 2):10424-9. doi: 10.1073/pnas.1301210110. Epub 2013 Jun 10.
PMID: 23754399BACKGROUND
Related Links
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- DOUBLE
- Who Masked
- CARE PROVIDER, OUTCOMES ASSESSOR
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Research Scientist and Co-Director of the Applied Cooperation Team
Study Record Dates
First Submitted
April 27, 2017
First Posted
May 1, 2017
Study Start
January 4, 2016
Primary Completion
December 31, 2016
Study Completion
April 14, 2017
Last Updated
July 23, 2019
Record last verified: 2019-07
Data Sharing
- IPD Sharing
- Will not share