- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04094350
Effect of Community Active Case Finding Strategies for Detection of Tuberculosis in Cambodia
Effect of Community Active Case Finding Strategies for Detection of Tuberculosis in Cambodia: Study Protocol for a Pragmatic Cluster Randomized Controlled Trial
Study Overview
Status
Conditions
Detailed Description
Tuberculosis (TB) is a leading infectious cause of morbidity and mortality worldwide, accounting for 10 million new cases and 1.6 million deaths in 2017. The disease burden is disproportionately concentrated in low- and middle-income countries with over 95% of TB deaths contributed by these regions. In 2016, the number of new TB cases was estimated at 10 million, and nearly 40% remained undiagnosed. Limited access to health care, high treatment cost, and social stigma of TB contributed to delayed detection and poor treatment uptake. Other risk factors such as poor living conditions and overcrowding further perpetuated the transmission of TB, which, in turn, leads to social and economic insecurity. Cambodia is one of the countries with the world's highest burden of TB, with an estimated incidence of active TB of 326 (95% CI: 224-447) per 100,000 population in 2017. Through the years, TB control programs in Cambodia has achieved significant milestones made possible by committed partners and focused efforts at the grassroots, national, and international level. In 2016, the TB incidence was approximately half of that in the year 2000, and a similar decline was observed in the TB mortality rate. Furthermore, the country has made notable progress in the fight against TB by achieving a treatment success rate of 94%, one of the highest among the 30 high TB burden countries.
However, the successes are impeded by a significant proportion of undiagnosed cases. Globally, it is estimated that 36% of the TB cases were undiagnosed in 2017, and a similar proportion is observed in Cambodia. Traditionally, TB cases are captured and passively notified when people with TB present themselves to a health facility. In recent years, a more proactive strategy to increase TB case notification, namely active case finding (ACF) has gained traction and is reported to be effective. Alongside passive case finding (PCF), the ACF strategy has been adopted by countries affected by the epidemic, including Cambodia, to reach people with TB effectively. Nevertheless, despite increased efforts to improve case detection, TB case finding remains a great challenge due to limited resources, geographical barriers, and social stigma. The current approaches rely solely on skilled healthcare workers and community health volunteers to find TB cases. Its utility and sustainability, in the long run, have yet to be substantially demonstrated.
Empirically, a snowball approach (seed-and-recruit mechanism) has been widely accepted to reach concealed populations such as populations who are at-risk for HIV in many countries, including Cambodia, due to its practical feasibility. A community-based peer-led strategy as such has been an inherent component in HIV responses worldwide, and successes have been reported. However, little is known about the feasibility and effectiveness of ACF with the snowball model in improving TB case notification. However, given the comparable hard-to-reach nature of HIV and TB populations, it is a concept worth exploring. In partnership with KHANA, the National Center for Tuberculosis and Leprosy Control (CENAT), and the Cambodia Anti-Tuberculosis Association (CATA), this project seeks to examine the effectiveness of different ACF strategies in increasing TB case notification in the community and its impact on treatment outcome. This project is congruent with the global plan to end TB. and the Global Fund's strategy 2017-2022 by informing sustainable and evidence-based solutions for TB control in Cambodia.
We will conduct a cluster randomized controlled trial with four arms comparing ACF with the seed-and-recruit model, other ACF approaches, and PCF approach in eight operational districts in Cambodia. The project will be carried out over two years. ACF with the seed-and-recruit model by KHANA, ACF targeting household and neighborhood contacts by CENAT, ACF targeting the older population using mobile screening units by CATA will be implemented in the intervention arms and PCF will be implemented in the control arm. These case finding strategies have been piloted in Cambodia, and they are endorsed by the national TB program in Cambodia. This study will randomize currently underserved operational districts (without active intervention, at least in the past six months from the implementation date). The interventions will be carried out as per the protocol devised by the partner organizations, respectively.
This study aims to 1) evaluate the effectiveness of an ACF strategy using a seed-and-recruit model for increasing TB case notification (case notification rate, additionality, comparing the yield in each arm with its respective historical baseline and the cumulative yield over the implementation period) in Cambodia, 2) establish the effect of ACF strategies on TB treatment outcomes, 3) evaluate number needed to screen to detect one TB case and the cost-effectiveness (costs per TB case notified) of different ACF strategies.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Phnom Penh, Cambodia, 2361
- KHANA Center for Population Health Research
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Phnom Penh, Cambodia, 2589-384
- Cambodia Anti-Tuberculosis Association
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Phnom Penh, Cambodia, 2589
- National Center for Tuberculosis and Leprosy Control
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
Presumptive TB cases will be referred to the health centers for TB screening and diagnosis in the intervention arms and self-presented to the health centers in the control arm. We will include the aggregated number of cases diagnosed and notified from all arms regardless of age. In this project, an individual is defined as a presumptive TB case if he/she exhibits any of the following symptoms19:
- Pulmonary TB (PTB): A cough more than two weeks and at least one general symptom
- Extra-pulmonary TB (EPTB): Presence of symptoms, depending on the location of TB, (e.g., cervical lymph node, swollen backbone, swollen articulation, etc.) and at least one general symptom
- General symptoms: Fever, night sweat for more than two weeks or unintentional weight loss (>5% reduction in usual body weight over the last 6 to 12 months)20
People newly diagnosed with TB age 18 and above* from the selected health centers. We will only include all people with TB aged 18 years or over with TB (all-forms) for the baseline and follow-up survey.
Exclusion Criteria:
- We will exclude those who refused to participate.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: SCREENING
- Allocation: RANDOMIZED
- Interventional Model: PARALLEL
- Masking: SINGLE
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
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EXPERIMENTAL: ACF with a seed-and-recruit model
Active case finding with a seed-and-recruit model to be implemented by KHANA.
Target group: key populations for TB (people living with HIV, TB contacts, people with diabetes, people who use/inject drugs) and presumptive TB cases
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In this arm, community health volunteers will recruit household contacts of people with TB and TB survivors diagnosed during the preceding two years.
Immediate neighbors (10 nearest households) of the index cases (people with TB) who are symptomatic will also be invited by the community health volunteers to the screening session.
Next nearest households within the same village will be approached if the number of presumptive TB cases in the 10 nearest households is low.
The one-off screening session will be held at the nearest health center on specific days.
Presumptive TB cases will be screened for symptoms on-site, and chest x-ray (CXR) will be taken.
Sputum samples from presumptive TB cases with abnormal (CXR) will be collected for GeneXpert testing.
Test results will be communicated to the newly diagnosed people with TB, and they will be referred to the health centers for treatment and follow-up.
The outreach team will conduct training and sensitization of the target population of the activities.
The schedule of a one-off screening session will be made known to the communities in the districts before the screening day.
Each person who visits the screening session will be screened.
Demographic information and presence of TB symptoms will be collected at registration by a trained staff.
A chest x-ray will then be performed on-site for all persons exhibiting TB symptoms and all elderly aged 55 and above regardless of symptoms.
When CXR findings are abnormal, sputum samples will be collected for GeneXpert testing on-site as well.
Test results will be communicated to the participants on the spot or via phone calls, and people with TB will be referred for treatment and follow-up at the health center where screening is conducted or a center of their choice.
Should the health center of their choice do not fall within the selected sites, follow-up will be conducted via phone calls.
Passive case finding (PCF) strategy is a default setup in the national health system.
PCF relies on the self-presentation of presumptive TB cases to the health centers to be diagnosed with TB.
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EXPERIMENTAL: ACF targeting household and neighborhood contacts
Active case finding targeting household and neighborhood contacts to be implemented by CENAT.
Target group: household contacts, immediate neighbors of people diagnosed with TB in the last 2 years, and other presumptive TB cases
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The intervention will take place for 12 months.
In the intervention clusters, potential seeds - TB survivors, people living with HIV, and household contacts of people with TB - will be approached by the research team.
Seeds will be trained and act as recruiters in the community to refer presumptive TB cases to the attached health centers.
The research team will work with staff at the health centers to facilitate screening and enrollment of recruits who are diagnosed with TB to care.
New people with TB who have the potential to be a recruiter will be invited and trained to recruit their peers in the community who may have TB for TB screening.
Seeds will be trained to identify people who may have TB and equipped with health promotion skills to impart knowledge and practices about TB.
We will follow-up all people with TB referred by seeds for six months from the treatment initiation.
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EXPERIMENTAL: ACF targeting the older population
Active case finding targeting the older population (people aged 55 and older) using mobile screening units to be implemented by CATA.
Target group: elderly above age of 55 and other presumptive TB cases
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The intervention will take place for 12 months.
In the intervention clusters, potential seeds - TB survivors, people living with HIV, and household contacts of people with TB - will be approached by the research team.
Seeds will be trained and act as recruiters in the community to refer presumptive TB cases to the attached health centers.
The research team will work with staff at the health centers to facilitate screening and enrollment of recruits who are diagnosed with TB to care.
New people with TB who have the potential to be a recruiter will be invited and trained to recruit their peers in the community who may have TB for TB screening.
Seeds will be trained to identify people who may have TB and equipped with health promotion skills to impart knowledge and practices about TB.
We will follow-up all people with TB referred by seeds for six months from the treatment initiation.
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NO_INTERVENTION: Passive case finding
Passive case finding strategy is a default setup in the national health system.
PCF relies on the self-presentation of presumptive TB cases to the health centers to be diagnosed with TB.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Number of TB cases notified per 10000 population
Time Frame: During the intervention period (1 year)
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Number of TB cases notified per 10000 population by each operational district included in this study per year
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During the intervention period (1 year)
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Additional number of TB cases
Time Frame: During the intervention period (1 year)
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Additional number of TB cases reported compared to historical baseline (same period in the preceding 1 year)
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During the intervention period (1 year)
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Number of TB cases diagnosed per 1000 population screened
Time Frame: During the intervention period (1 year)
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Number of TB cases diagnosed per 1000 population screened during one year of the intervention period
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During the intervention period (1 year)
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Number of people with TB who have completed TB treatment and successfully treated
Time Frame: Six months after TB treatment initiated
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Number of people with TB who have completed TB treatment and successfully treated 6 months after treatment initiation
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Six months after TB treatment initiated
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Number of people needed to screen to detect one case
Time Frame: During the intervention period (1 year)
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Number needed to screen to detect one case = total number of presumptive TB cases screened / number of TB cases identified
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During the intervention period (1 year)
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Cost-effectiveness
Time Frame: During the intervention period (1 year)
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Cost per TB case diagnosed/notified and incremental cost-effectiveness ratio per disability-adjusted life year (DALY) averted
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During the intervention period (1 year)
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Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Alvin Teo, MPH, National University, Singapore
Publications and helpful links
General Publications
- Kranzer K, Afnan-Holmes H, Tomlin K, Golub JE, Shapiro AE, Schaap A, Corbett EL, Lonnroth K, Glynn JR. The benefits to communities and individuals of screening for active tuberculosis disease: a systematic review. Int J Tuberc Lung Dis. 2013 Apr;17(4):432-46. doi: 10.5588/ijtld.12.0743.
- Pascom AR, Szwarcwald CL, Barbosa Junior A. Sampling studies to estimate the HIV prevalence rate in female commercial sex workers. Braz J Infect Dis. 2010 Jul-Aug;14(4):385-97.
- Simoni JM, Nelson KM, Franks JC, Yard SS, Lehavot K. Are peer interventions for HIV efficacious? A systematic review. AIDS Behav. 2011 Nov;15(8):1589-95. doi: 10.1007/s10461-011-9963-5.
- Marton KI, Sox HC Jr, Krupp JR. Involuntary weight loss: diagnostic and prognostic significance. Ann Intern Med. 1981 Nov;95(5):568-74. doi: 10.7326/0003-4819-95-5-568.
- GBD Tuberculosis Collaborators. The global burden of tuberculosis: results from the Global Burden of Disease Study 2015. Lancet Infect Dis. 2018 Mar;18(3):261-284. doi: 10.1016/S1473-3099(17)30703-X. Epub 2017 Dec 7.
- Mhimbira FA, Cuevas LE, Dacombe R, Mkopi A, Sinclair D. Interventions to increase tuberculosis case detection at primary healthcare or community-level services. Cochrane Database Syst Rev. 2017 Nov 28;11(11):CD011432. doi: 10.1002/14651858.CD011432.pub2.
- Eang MT, Satha P, Yadav RP, Morishita F, Nishikiori N, van-Maaren P, Weezenbeek CL. Early detection of tuberculosis through community-based active case finding in Cambodia. BMC Public Health. 2012 Jun 21;12:469. doi: 10.1186/1471-2458-12-469.
- Morishita F, Eang MT, Nishikiori N, Yadav RP. Increased Case Notification through Active Case Finding of Tuberculosis among Household and Neighbourhood Contacts in Cambodia. PLoS One. 2016 Mar 1;11(3):e0150405. doi: 10.1371/journal.pone.0150405. eCollection 2016.
- Murray EJ, Bond VA, Marais BJ, Godfrey-Faussett P, Ayles HM, Beyers N. High levels of vulnerability and anticipated stigma reduce the impetus for tuberculosis diagnosis in Cape Town, South Africa. Health Policy Plan. 2013 Jul;28(4):410-8. doi: 10.1093/heapol/czs072. Epub 2012 Sep 2.
- Yaesoubi R, Cohen T. Identifying dynamic tuberculosis case-finding policies for HIV/TB coepidemics. Proc Natl Acad Sci U S A. 2013 Jun 4;110(23):9457-62. doi: 10.1073/pnas.1218770110. Epub 2013 May 20.
- Koura KG, Trebucq A, Schwoebel V. Do active case-finding projects increase the number of tuberculosis cases notified at national level? Int J Tuberc Lung Dis. 2017 Jan 1;21(1):73-78. doi: 10.5588/ijtld.16.0653.
- Yi S, Ngin C, Tuot S, Chhoun P, Chhim S, Pal K, Mun P, Mburu G. HIV prevalence, risky behaviors, and discrimination experiences among transgender women in Cambodia: descriptive findings from a national integrated biological and behavioral survey. BMC Int Health Hum Rights. 2017 May 23;17(1):14. doi: 10.1186/s12914-017-0122-6.
- Teo AKJ, Prem K, Evdokimov K, Ork C, Eng S, Tuot S, Chry M, Mao TE, Hsu LY, Yi S. Effect of community active case-finding strategies for detection of tuberculosis in Cambodia: study protocol for a pragmatic cluster randomized controlled trial. Trials. 2020 Feb 24;21(1):220. doi: 10.1186/s13063-020-4138-1.
Study record dates
Study Major Dates
Study Start (ACTUAL)
Primary Completion (ACTUAL)
Study Completion (ACTUAL)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (ACTUAL)
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- NIHA-2018-005
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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