Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Feb 24;21(1):220.
doi: 10.1186/s13063-020-4138-1.

Effect of community active case-finding strategies for detection of tuberculosis in Cambodia: study protocol for a pragmatic cluster randomized controlled trial

Affiliations

Effect of community active case-finding strategies for detection of tuberculosis in Cambodia: study protocol for a pragmatic cluster randomized controlled trial

Alvin Kuo Jing Teo et al. Trials. .

Abstract

Background: Cambodia has made notable progress in the fight against tuberculosis (TB). However, these gains are impeded by a significant proportion of undiagnosed cases. To effectively reach people with TB, active case-finding (ACF) strategies have been adopted by countries affected by the epidemic, including Cambodia, alongside passive case finding (PCF). Despite increased efforts to improve case detection, approximately 40% of TB cases in Cambodia remained undiagnosed in 2018. In Cambodia, several community-based TB ACF modalities have been implemented, but their effectiveness has yet to be systematically assessed.

Methods: This pragmatic cluster randomized controlled trial will be conducted between December 2019 and June 2021. We will randomize eight operational districts (clusters) in seven provinces (Kampong Cham, Kampong Thom, Prey Veng, Thbong Khmum, Kampong Chhnang, Kandal, and Kampong Speu) to either the control group (PCF) or the intervention groups (ACF using a seed-and-recruit model, ACF targeting household and neighborhood contacts, and ACF targeting persons aged ≥ 55 years using mobile screening units). The primary endpoints will be TB case notification rates, additionality, and cumulative yield of TB cases. The secondary endpoints include treatment outcomes, the number needed to screen to find one TB case, and cost-effectiveness outcome measures. We will analyze the primary and secondary endpoints by intention to treat. We will compare cluster and individual-level characteristics using Student's t test and hierarchical or mixed-effect models to estimate the ratio of these means. The incremental cost-effectiveness ratio per disability-adjusted life year averted will also be considered as a benchmark to determine whether the interventions are cost-effective.

Discussion: This study will build an evidence base to inform future scale-up, implementation, and sustainability of ACF strategies in Cambodia and other similar settings. Implementation of this study will also complement TB control strategies in Cambodia by conducting ACF in operational districts without active interventions to find TB cases currently. Those who are ill and might have TB will be promptly screened, diagnosed, and linked to care. Early diagnosis and treatment initiation will also benefit their community by interrupting transmission and prevent further infections. The experience gained from this project will inform future attempts in conducting pragmatic trials in low-resource settings.

Trial registration: ClinicalTrials.gov, NCT04094350. Registered on 18 September 2019.

Keywords: Active case finding; Community; Passive case finding; Systematic screening; Tuberculosis.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Trial profile. A pragmatic cluster randomized controlled trial with four arms comparing active case finding (ACF) with the seed-and-recruit model, ACF targeting household and neighborhood contacts, ACF targeting the older population using mobile diagnostic units, and passive case finding in eight operational districts in Cambodia. TB tuberculosis
Fig. 2
Fig. 2
Active case finding with a seed-and-recruit model. A network is built by seed, as illustrated by the dotted lines in the left panel. The network is expanded in a snowball fashion by recruiters who will be trained to recruit other people who might have tuberculosis (TB) in the community. We refer key populations for TB in this study to people aged 55 and above, people with diabetes, people living with HIV, household contacts of TB patients, and people who use and inject drugs. For GeneXpert test, one sputum specimen will be collected. For smear microscopy, three sputum specimens will be collected at three different times, over 2 days
Fig. 3
Fig. 3
Active case finding targeting household and neighborhood contacts. This model targets household and neighborhood contacts of people with TB. The village health support group will conduct contact tracing and case finding activities in the community before inviting the target groups to the health center for TB screening and diagnosis. For GeneXpert test, one sputum specimen will be collected. HIV human immunodeficiency virus, TB tuberculosis
Fig. 4
Fig. 4
Active case finding targeting the older population (people aged 55 and above) using mobile screening units. In the pre-mass screening stage, program staff will invite the target population (people aged 55 and above) and other presumptive TB cases in the community to a roving, one-off active case finding day at the health centers or other public sites in the community such as the pagoda. For GeneXpert test, one sputum specimen will be collected. TB tuberculosis

References

    1. World Health Organization. Global tuberculosis report 2018. Geneva: World Health Organization; 2019.
    1. World Health Organization. TB country profile: Cambodia. Geneva: World Health Organization; 2019.
    1. Stop TB Partnership, United Nations Office for Project Services (UNOPS) 90–90–90. The tuberculosis report for heads of state and governments. Geneva: Stop TB Partnership and UNOPS; 2017.
    1. Houben RMGJ, Dodd PJ. The global burden of latent tuberculosis infection: a re-estimation using mathematical modelling. PLoS Med. 2016;13:e1002152. doi: 10.1371/journal.pmed.1002152. - DOI - PMC - PubMed
    1. Prem K, Pheng SH, Teo AKJ, Evdokimov K, Nang EEK, Hsu LY, et al. Spatial and temporal projections of the prevalence of active tuberculosis in Cambodia. BMJ Glob Health. 2019;4:e001083. doi: 10.1136/bmjgh-2018-001083. - DOI - PMC - PubMed

Publication types

Associated data