Mobilising community networks for early identification of tuberculosis and treatment initiation in Cambodia: an evaluation of a seed-and-recruit model.
Journal
ERJ open research
ISSN: 2312-0541
Titre abrégé: ERJ Open Res
Pays: England
ID NLM: 101671641
Informations de publication
Date de publication:
Apr 2020
Apr 2020
Historique:
received:
23
12
2019
accepted:
23
02
2020
entrez:
12
5
2020
pubmed:
12
5
2020
medline:
12
5
2020
Statut:
epublish
Résumé
The effects of active case finding (ACF) models that mobilise community networks for early identification and treatment of tuberculosis (TB) remain unknown. We investigated and compared the effect of community-based ACF using a seed-and-recruit model with one-off roving ACF and passive case finding (PCF) on the time to treatment initiation and identification of bacteriologically confirmed TB. In this retrospective cohort study conducted in 12 operational districts in Cambodia, we assessed relationships between ACF models and: 1) the time to treatment initiation using Cox proportional hazards regression; and 2) the identification of bacteriologically confirmed TB using modified Poisson regression with robust sandwich variance. We included 728 adults with TB, of whom 36% were identified Mobilising community networks to find TB cases was associated with early initiation of TB treatment in Cambodia. This approach was more likely to find bacteriologically confirmed TB cases, contributing to the reduction of risk of transmission within the community.
Sections du résumé
BACKGROUND AND OBJECTIVES
OBJECTIVE
The effects of active case finding (ACF) models that mobilise community networks for early identification and treatment of tuberculosis (TB) remain unknown. We investigated and compared the effect of community-based ACF using a seed-and-recruit model with one-off roving ACF and passive case finding (PCF) on the time to treatment initiation and identification of bacteriologically confirmed TB.
METHODS
METHODS
In this retrospective cohort study conducted in 12 operational districts in Cambodia, we assessed relationships between ACF models and: 1) the time to treatment initiation using Cox proportional hazards regression; and 2) the identification of bacteriologically confirmed TB using modified Poisson regression with robust sandwich variance.
RESULTS
RESULTS
We included 728 adults with TB, of whom 36% were identified
CONCLUSION
CONCLUSIONS
Mobilising community networks to find TB cases was associated with early initiation of TB treatment in Cambodia. This approach was more likely to find bacteriologically confirmed TB cases, contributing to the reduction of risk of transmission within the community.
Identifiants
pubmed: 32391397
doi: 10.1183/23120541.00368-2019
pii: 00368-2019
pmc: PMC7196668
pii:
doi:
Types de publication
Journal Article
Langues
eng
Informations de copyright
Copyright ©ERS 2020.
Déclaration de conflit d'intérêts
Conflict of interest: A.K.J. Teo has nothing to disclose. Conflict of interest: K. Prem has nothing to disclose. Conflict of interest: S. Tuot has nothing to disclose. Conflict of interest: C. Ork has nothing to disclose. Conflict of interest: S. Eng has nothing to disclose. Conflict of interest: T. Pande has nothing to disclose. Conflict of interest: M. Chry has nothing to disclose. Conflict of interest: L.Y. Hsu has nothing to disclose. Conflict of interest: S. Yi has nothing to disclose.
Références
PLoS One. 2016 Jan 25;11(1):e0147933
pubmed: 26808299
Epidemiol Infect. 2008 Oct;136(10):1342-9
pubmed: 18177518
Lancet Infect Dis. 2019 May;19(5):519-528
pubmed: 30910427
Bull World Health Organ. 2018 Aug 1;96(8):522-530
pubmed: 30104792
Int J Mycobacteriol. 2016 Dec;5(4):374-378
pubmed: 27931676
Trop Med Int Health. 2008 Jan;13(1):21-30
pubmed: 18290998
Lancet Respir Med. 2019 Mar;7(3):199-201
pubmed: 30823971
JAMA Netw Open. 2019 Feb 1;2(2):e187617
pubmed: 30735231
PLoS Med. 2016 Oct 25;13(10):e1002152
pubmed: 27780211
Int J Tuberc Lung Dis. 2006 Jan;10(1):24-30
pubmed: 16466033
BMJ Glob Health. 2019 Jan 24;4(1):e001083
pubmed: 30740249
Trials. 2020 Feb 24;21(1):220
pubmed: 32093778
PLoS One. 2019 Mar 13;14(3):e0213345
pubmed: 30865730
BMC Public Health. 2013 Mar 16;13:234
pubmed: 23496972
J Pers Soc Psychol. 1986 Dec;51(6):1173-82
pubmed: 3806354
BMC Public Health. 2012 Jun 21;12:469
pubmed: 22720878
Psychol Med. 1997 Jan;27(1):191-7
pubmed: 9122299
Health Policy Plan. 2013 Jul;28(4):410-8
pubmed: 22945548
J Clin Tuberc Other Mycobact Dis. 2018 Nov 12;13:22-27
pubmed: 31720408
Int J Tuberc Lung Dis. 2013 Apr;17(4):432-46
pubmed: 23485377
Clin Infect Dis. 2010 May 15;50 Suppl 3:S156-64
pubmed: 20397943
Trop Med Int Health. 2015 Sep;20(9):1128-1145
pubmed: 25943163
Malar J. 2014 Dec 08;13:482
pubmed: 25491041
PLoS Med. 2013 Aug;10(8):e1001496
pubmed: 23966838
Clin Infect Dis. 2008 Nov 1;47(9):1135-42
pubmed: 18823268
PLoS One. 2019 Jul 2;14(7):e0210919
pubmed: 31265458
AIDS. 2006 Oct 3;20(15):1961-8
pubmed: 16988518
Proc Natl Acad Sci U S A. 2013 Jun 4;110(23):9457-62
pubmed: 23690585
Int J Tuberc Lung Dis. 2012 Nov;16(11):1461-7
pubmed: 22981252
Public Health Action. 2016 Mar 21;6(1):15-8
pubmed: 27051605
Lancet Respir Med. 2018 Apr;6(4):244-246
pubmed: 29595504