Literature DB >> 31417853

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

D Okelloh1, M Achola2, J Opole1, C Ogwang1, J Agaya1, P Sifuna3, W Mchembere1, J Cowden3, M Heilig4, M W Borgdorff5, C M Yuen6, K P Cain5.   

Abstract

SETTING: Although Kenya has a high burden of tuberculosis (TB), only 46% of cases were diagnosed in 2016.
OBJECTIVE: To identify strategies for increasing attendance at community-based mobile screening units.
DESIGN: 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.
RESULTS: 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 (P < 0.001).
CONCLUSION: Mobile units were most effective and efficient when implemented as a single event with community health workers who are paid a daily wage.

Entities:  

Keywords:  community health workers; human immunodeficiency virus; mobile health units

Year:  2019        PMID: 31417853      PMCID: PMC6645444          DOI: 10.5588/pha.18.0085

Source DB:  PubMed          Journal:  Public Health Action        ISSN: 2220-8372


  9 in total

Review 1.  Kenya AIDS Indicator Surveys 2007 and 2012: implications for public health policies for HIV prevention and treatment.

Authors:  William K Maina; Andrea A Kim; George W Rutherford; Malayah Harper; Boniface O K'Oyugi; Shahnaaz Sharif; George Kichamu; Nicholas M Muraguri; Willis Akhwale; Kevin M De Cock
Journal:  J Acquir Immune Defic Syndr       Date:  2014-05-01       Impact factor: 3.731

2.  A qualitative assessment of participation in a rapid scale-up, diagonally-integrated MDG-related disease prevention campaign in Rural Kenya.

Authors:  Timothy De Ver Dye; Rose Apondi; Eric Lugada
Journal:  PLoS One       Date:  2011-01-18       Impact factor: 3.240

3.  Keeping community health workers in Uganda motivated: key challenges, facilitators, and preferred program inputs.

Authors:  Aurélie Brunie; Patricia Wamala-Mucheri; Conrad Otterness; Angela Akol; Mario Chen; Leonard Bufumbo; Mark Weaver
Journal:  Glob Health Sci Pract       Date:  2014-01-29

4.  Active Community-Based Case Finding for Tuberculosis With Limited Resources.

Authors:  Bindu Karki; Guenter Kittel; Ignatius Bolokon; Trevor Duke
Journal:  Asia Pac J Public Health       Date:  2016-12-29       Impact factor: 1.399

5.  Improving the performance of community health workers in Swaziland: findings from a qualitative study.

Authors:  Pascal Geldsetzer; Jan-Walter De Neve; Chantelle Boudreaux; Till Bärnighausen; Thomas J Bossert
Journal:  Hum Resour Health       Date:  2017-09-18

6.  Kenya tuberculosis prevalence survey 2016: Challenges and opportunities of ending TB in Kenya.

Authors:  Masini Enos; Joseph Sitienei; Jane Ong'ang'o; Brenda Mungai; Maureen Kamene; Jesse Wambugu; Hillary Kipruto; Veronica Manduku; Josephine Mburu; Drusilla Nyaboke; Faith Ngari; Eunice Omesa; Newton Omale; Nkirote Mwirigi; Geoffrey Okallo; Janice Njoroge; Martin Githiomi; Mike Mwangi; Dickson Kirathe; Richard Kiplimo; Amos Ndombi; Lazarus Odeny; Eunice Mailu; Timothy Kandie; Maurice Maina; Kadondi Kasera; Beatrice Mulama; Beatrice Mugi; Herman Weyenga
Journal:  PLoS One       Date:  2018-12-26       Impact factor: 3.240

7.  Comparison of two active case-finding strategies for community-based diagnosis of symptomatic smear-positive tuberculosis and control of infectious tuberculosis in Harare, Zimbabwe (DETECTB): a cluster-randomised trial.

Authors:  Elizabeth L Corbett; Tsitsi Bandason; Trinh Duong; Ethel Dauya; Beauty Makamure; Gavin J Churchyard; Brian G Williams; Shungu S Munyati; Anthony E Butterworth; Peter R Mason; Stanley Mungofa; Richard J Hayes
Journal:  Lancet       Date:  2010-10-09       Impact factor: 79.321

8.  Screening difficult-to-reach populations for tuberculosis using a mobile medical unit, Punjab India.

Authors:  G Binepal; P Agarwal; N Kaur; B Singh; V Bhagat; R P Verma; S Satyanarayana; J E Oeltmann; P K Moonan
Journal:  Public Health Action       Date:  2015-12-21

9.  Bringing state-of-the-art diagnostics to vulnerable populations: The use of a mobile screening unit in active case finding for tuberculosis in Palawan, the Philippines.

Authors:  Fukushi Morishita; Anna Marie Celina Gonzales Garfin; Woojin Lew; Kyung Hyun Oh; Rajendra-Prasad Yadav; Janeth Cuencaho Reston; Lenie Lucio Infante; Maria Rebethia Crueldad Acala; Dean Lim Palanca; Hee Jin Kim; Nobuyuki Nishikiori
Journal:  PLoS One       Date:  2017-02-02       Impact factor: 3.240

  9 in total
  2 in total

1.  Geographic accessibility to health facilities predicts uptake of community-based tuberculosis screening in an urban setting.

Authors:  Helen E Jenkins; Sally Ayuk; Daniela Puma; Meredith B Brooks; Ana Karina Millones; Judith Jimenez; Leonid Lecca; Jerome T Galea; Mercedes Becerra; Salmaan Keshavjee; Courtney M Yuen
Journal:  Int J Infect Dis       Date:  2022-04-22       Impact factor: 12.074

2.  Cost of TB services in healthcare facilities in Kenya (No 3).

Authors:  A Kairu; S Orangi; R Oyando; E Kabia; P Nguhiu; J Ong Ang O; N Mwirigi; Y V Laurence; N Kitson; I Garcia Baena; A Vassall; E Barasa; S Sweeney; L Cunnama
Journal:  Int J Tuberc Lung Dis       Date:  2021-12-01       Impact factor: 2.373

  2 in total

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