NCT03135366

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

100
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
1,190

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Jan 2016

Status
completed

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

Study Start

First participant enrolled

January 4, 2016

Completed
12 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2016

Completed
3 months until next milestone

Study Completion

Last participant's last visit for all outcomes

April 14, 2017

Completed
13 days until next milestone

First Submitted

Initial submission to the registry

April 27, 2017

Completed
4 days until next milestone

First Posted

Study publicly available on registry

May 1, 2017

Completed
Last Updated

July 23, 2019

Status Verified

July 1, 2019

Enrollment Period

12 months

First QC Date

April 27, 2017

Last Update Submit

July 18, 2019

Conditions

Keywords

TuberculosisTBAdherenceMobile HealthmHealthBehavior changeSocial and Behavior Change Communication (SBCC)Drug-ResistanceKeheala

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 COMPARATOR
Other: Standard of Care

Keheala Intervention (Treatment)

EXPERIMENTAL

The intervention consisted of a daily request for self-verification of medication adherence, access to a supporter via a chat client, and information about TB.

Behavioral: Keheala

Interventions

KehealaBEHAVIORAL
Keheala Intervention (Treatment)

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.

Standard of Care (Control)

Eligibility Criteria

Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)

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

Related Publications (25)

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    BACKGROUND
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    BACKGROUND
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    BACKGROUND
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    BACKGROUND
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    BACKGROUND
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    PMID: 11752497BACKGROUND
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    PMID: 26390265BACKGROUND
  • Knutsson, 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.

    BACKGROUND
  • Kraft-Todd, G., Yoeli, E., Bhanot, S., & Rand, D. (2015). Promoting cooperation in the field. Current Opinion in Behavioral Sciences, 3, 96-101.

    BACKGROUND
  • Malhotra, 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.

    BACKGROUND
  • Prestwich 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: 20205020BACKGROUND
  • Rand, 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.

    BACKGROUND
  • Rege, 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.

    BACKGROUND
  • Research 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/

    BACKGROUND
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    PMID: 16046689BACKGROUND
  • Rogers, 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.

    BACKGROUND
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    BACKGROUND
  • TB ARC - Centre for Health Solutions. (n.d.). Retrieved 2015, from http://www.chskenya.org/what-we-do/tb-arc/

    BACKGROUND
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    PMID: 21483732BACKGROUND
  • Tola 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: 26060770BACKGROUND
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    BACKGROUND
  • WHO. (2014). Global Tuberculosis Report 2014. World Health Organization.

    BACKGROUND
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    BACKGROUND
  • Yoeli 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

Tuberculosis

Interventions

Standard of Care

Condition Hierarchy (Ancestors)

Mycobacterium InfectionsActinomycetales InfectionsGram-Positive Bacterial InfectionsBacterial InfectionsBacterial Infections and MycosesInfections

Intervention Hierarchy (Ancestors)

Quality Indicators, Health CareQuality of Health CareHealth Services AdministrationHealth Care Quality, Access, and Evaluation

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
DOUBLE
Who Masked
CARE PROVIDER, OUTCOMES ASSESSOR
Purpose
TREATMENT
Intervention Model
PARALLEL
Model Details: We will employ a randomized controlled trial (RCT) with 600 patients included in the treatment group and 600 patients included in the control group. We have selected this methodology for the following reasons: 1. RCTs are the gold-standard for providing evidence-based evaluation of medical interventions, and recommended when feasible. 2. Keheala is a new program, and cannot be studied using existing data. 3. We are working with researchers from Harvard's Program for Evolutionary Dynamics and Yale's Human Cooperation Lab, who have an established record of designing large-scale RCTs in real-world settings such as ours. This sample size was chosen to achieve 80% power in detecting improvements of 7.5% or more in the relevant health outcomes. To do this calculation, we employed Monte Carlo simulations of patient outcomes, based on the Kenyan Ministry of Health's 2013 TB Case Findings Report. Note: The sample size and outcomes were registered in December 2015 with the IRB.
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