ArticlePublic health action2019
Lessons learned from community-based tuberculosis case-finding in western Kenya.
Article in Public health action, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- Spatial clustering and genetic diversity of Mycobacterium tuberculosis and associated diagnostic delays in Nairobi County, Kenya.BMC infectious diseases · 2026Article
- Geographic accessibility to health facilities predicts uptake of community-based tuberculosis screening in an urban setting.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022Article
- Cost of TB services in healthcare facilities in Kenya (No 3).The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2021Article
- Avoiding false economies: paying for community tuberculosis outcomes.Public health action · 2019Article
Corrections and comments
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Authors and funding
12 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
settingAlthough Kenya has a high burden of tuberculosis (TB), only 46% of cases were diagnosed in 2016.
objectiveTo identify strategies for increasing attendance at community-based mobile screening units.
designWe analysed operational data from a cluster-randomised trial, which included community-based mobile screening implemented during February 2015-April 2016. Community health volunteers (CHVs) recruited individuals with symptoms from the community, who were offered testing for human immunodeficiency virus (HIV) and sputum collection for Xpert
resultsA total of 1424 adults with symptoms were screened at 25 mobile unit sites. The median total attendance among sites was 54 (range 6-134, interquartile range [IQR] 24-84). The median yields of TB diagnoses and new HIV diagnoses were respectively 2.4% (range 0.0-16.7, IQR 0.0-5.3) and 2.5% (range 0.0-33.3, IQR 1.2-4.2). Attendance at urban sites was variable; attendance at rural sites where CHVs were paid a daily minimum wage was significantly higher than at rural sites where CHVs were paid a nominal monthly stipend (
conclusionMobile units were most effective and efficient when implemented as a single event with community health workers who are paid a daily wage.
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