Evidence map›Paper›PMID 31265458›Full record

Trial reportPloS one2019

Acceptability of active case finding with a seed-and-recruit model to improve tuberculosis case detection and linkage to treatment in Cambodia: A qualitative study.

Sovannary Tuot, Alvin Kuo Jing Teo, Danielle Cazabon, Say Sok, Mengieng Ung, Sangky Ly, Sok Chamreun Choub, Siyan Yi

Registry-linked trialOpen access · goldAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04766710 (Implementation and Evaluation of a Community-Based Model for Delivery of Antiretroviral Therapy in Cambodia), which is not on this map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04766710 naunknown statusnot on this mapstarted 2021, after this paper: background citation

Implementation and Evaluation of a Community-Based Model for Delivery of Antiretroviral Therapy in Cambodia: A Quasi-Experimental Study

TypeinterventionalSponsorNational University of SingaporeRan2021 to 2024Enrolled4,102ConditionsHIV Infections, AIDSArmsCommunity-based ART delivery (CAD), ART multi-month dispensing (MMD)
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 4 countries.

Sovannary TuotKHANA Center for Population Health Research, Phnom Penh, Cambodia.
Alvin Kuo Jing TeoSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
Danielle CazabonMcGill International TB Centre, McGill University Health Centre, Montréal, Canada.
Say SokKHANA Center for Population Health Research, Phnom Penh, Cambodia.
Mengieng UngHumanities and Social Studies Education Academic Group, National Institute of Education, Nanyang Technology University, Singapore, Singapore.
Sangky LyKHANA Center for Population Health Research, Phnom Penh, Cambodia.
Sok Chamreun ChoubKHANA Center for Population Health Research, Phnom Penh, Cambodia.
Siyan YiKHANA Center for Population Health Research, Phnom Penh, Cambodia.ORCID 0000-0002-3045-5386
National University of Singapore · SGRoyal University of Phnom Penh · KHMcGill University Health Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith support of the national tuberculosis (TB) program, KHANA (a local non-governmental organization in Cambodia) has implemented an innovative approach using a seed-and-recruit model to actively find TB cases in the community. The model engaged community members including TB survivors as seed and newly diagnosed people with TB as recruiters to recruit presumptive TB cases in their social network in a snowball approach for screening and linkage to treatment. This study aimed to explore the acceptability of the active case finding with the seed-and-recruit model in detecting new TB cases and determine the characteristics of successful seeds.

methodsThis qualitative study was conducted in four provinces (Banteay Meanchey, Kampong Chhnang, Siem Reap, and Takeo) in Cambodia in 2017. Fifty-six in-depth interviews and ten focus group discussions (with a total of 64 participants) were conducted with selected beneficiaries and key stakeholders at different levels to gain insights into the acceptability, strengths, and challenges in implementing the model and the characteristics of successful seeds. Transcripts were coded and content analyses were performed.

resultsThe seed-and-recruit active case finding model was generally well-received by the study participants. They saw the benefits of engaging TB survivors and utilizing their social network to find new TB cases in the community. The social embeddedness of the model within the local community was one of the major strengths. The success of the model also hinges on the integration with existing health facilities. Having an extensive social network, being motivated, and having good knowledge about TB were important characteristics of successful seeds. Study participants reported challenges in motivating the presumptive TB cases for screening, logistic capacities, and high workload during the implementation. However, there was a general consensus that the model ought to be expanded.

conclusionsThese findings indicate that the seed-and-recruit model is well-accepted by the beneficiaries and key stakeholders. Further studies are needed to more comprehensively evaluate the impacts and cost-effectiveness of the model for future expansion in Cambodia as well as in other resource-limited settings.

Indexed as

Tuberculosis, PulmonaryAdolescentAdultAgedAged, 80 and overCambodiaFemaleHumansMaleMass ScreeningMiddle AgedModels, Economic

Identifiers

PMID31265458
PMCPMC6605634
OpenAlexW2954512081

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.