BACKGROUND: Losses can occur throughout the latent tuberculosis infection (LTBI) cascade of care. This can result in suboptimal rates of effective treatment for LTBI. We conducted a systematic review and meta-analysis to estimate the effect of different interventions to reduce losses in the LTBI cascade before treatment completion. METHODS: We searched several databases for articles reporting outcomes for interventions designed to strengthen the LTBI cascade. We included papers published in English from January 1990 until February 2018. Where possible, estimates were pooled using random-effects meta-analysis. RESULTS: We identified 30 studies that evaluated 32 different interventions aimed at reducing losses in the LTBI cascade. In pooled analysis, interventions that improved completion of cascade steps included patient incentives (respectively 42 [95% CI 34-51] and 48 [95% CI 15-81] additional patients completing initial assessment and medical evaluation per 100 starting); health care worker education (28 [95% CI 4-52] additional patients initiating initial assessment per 100 identified; home visits (additional 13 [95% CI 4-21] patients completing initial assessment per 100 starting); digital solutions (additional 11 [95% CI 4-21] patients initiating initial assessment per 100 identified); and patient reminders (additional 7 [95% CI 0.3-13] patients completing initial assessment per 100 starting). Several other interventions reduced losses at specific cascade steps, but evidence for these interventions came from single studies and could not be pooled. CONCLUSIONS: Although there is limited evidence that any single intervention significantly improves the LTBI cascade, many studies provide information about effective ways to strengthen it.
BACKGROUND: Losses can occur throughout the latent tuberculosis infection (LTBI) cascade of care. This can result in suboptimal rates of effective treatment for LTBI. We conducted a systematic review and meta-analysis to estimate the effect of different interventions to reduce losses in the LTBI cascade before treatment completion. METHODS: We searched several databases for articles reporting outcomes for interventions designed to strengthen the LTBI cascade. We included papers published in English from January 1990 until February 2018. Where possible, estimates were pooled using random-effects meta-analysis. RESULTS: We identified 30 studies that evaluated 32 different interventions aimed at reducing losses in the LTBI cascade. In pooled analysis, interventions that improved completion of cascade steps included patient incentives (respectively 42 [95% CI 34-51] and 48 [95% CI 15-81] additional patients completing initial assessment and medical evaluation per 100 starting); health care worker education (28 [95% CI 4-52] additional patients initiating initial assessment per 100 identified; home visits (additional 13 [95% CI 4-21] patients completing initial assessment per 100 starting); digital solutions (additional 11 [95% CI 4-21] patients initiating initial assessment per 100 identified); and patient reminders (additional 7 [95% CI 0.3-13] patients completing initial assessment per 100 starting). Several other interventions reduced losses at specific cascade steps, but evidence for these interventions came from single studies and could not be pooled. CONCLUSIONS: Although there is limited evidence that any single intervention significantly improves the LTBI cascade, many studies provide information about effective ways to strengthen it.
Authors: G B Migliori; S J Wu; A Matteelli; D Zenner; D Goletti; S Ahmedov; S Al-Abri; D M Allen; M E Balcells; A L Garcia-Basteiro; E Cambau; R E Chaisson; C B E Chee; M P Dalcolmo; J T Denholm; C Erkens; S Esposito; P Farnia; J S Friedland; S Graham; Y Hamada; A D Harries; A W Kay; A Kritski; S Manga; B J Marais; D Menzies; D Ng; L Petrone; A Rendon; D R Silva; H S Schaaf; A Skrahina; G Sotgiu; G Thwaites; S Tiberi; N Tukvadze; J-P Zellweger; L D Ambrosio; R Centis; C W M Ong Journal: Int J Tuberc Lung Dis Date: 2022-03-01 Impact factor: 3.427
Authors: Tessa Runels; Elizabeth J Ragan; Alicia S Ventura; Michael R Winter; Laura F White; C Robert Horsburgh; Jeffrey H Samet; Richard Saitz; Karen R Jacobson Journal: BMJ Open Date: 2022-03-10 Impact factor: 2.692