Lessons learned from community-based tuberculosis case-finding in western Kenya.

Lessons learned from community-based tuberculosis case-finding in western Kenya.

Okelloh, D;Achola, M;Opole, J;Ogwang, C;Agaya, J;Sifuna, P;Mchembere, W;Cowden, J;Heilig, M;Borgdorff, M W;Yuen, C M;Cain, K P;
public health action 2019 Vol. 9 pp. 53-57
257
okelloh2019lessonspublic

Abstract

Although Kenya has a high burden of tuberculosis (TB), only 46% of cases were diagnosed in 2016.To identify strategies for increasing attendance at community-based mobile screening units.We 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 MTB/RIF testing. We compared attendance across different mobile unit sites using Wilcoxon rank-sum test.A 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 ( < 0.001).Mobile units were most effective and efficient when implemented as a single event with community health workers who are paid a daily wage.

Citation

ID: 37872
Ref Key: okelloh2019lessonspublic
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
37872
Unique Identifier:
10.5588/pha.18.0085
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet