Targeted Tuberculosis Contact Investigation Saves Money Without Sacrificing Health

Pisu, Maria; Gerald, Joe K.; Shamiyeh, James; Bailey, William C.; Gerald, Lynn B.

doi:10.1097/phh.0b013e31819c3ef2

Cited by 10 publications

(7 citation statements)

References 16 publications

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“…However, to apply spatial restrictions methods such as catchment areas using the concentric circle approach will require the ability to quantify the potential effectiveness and to assess the associated resource implications. [47–49]…”

Section: Introductionmentioning

confidence: 99%

Optimizing community screening for tuberculosis: Spatial analysis of localized case finding from door-to-door screening for TB in an urban district of Ho Chi Minh City, Viet Nam

Vo¹,

Vu²,

Nguyen³

et al. 2018

PLoS ONE

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BackgroundTuberculosis (TB) is the deadliest infectious disease globally. Current case finding approaches may miss many people with TB or detect them too late.Data and methodsThis study was a retrospective, spatial analysis of routine TB surveillance and cadastral data in Go Vap district, Ho Chi Minh City. We geocoded TB notifications from 2011 to 2015 and calculated theoretical yields of simulated door-to-door screening in three concentric catchment areas (50m, 100m, 200m) and three notification window scenarios (one, two and four quarters) for each index case. We calculated average yields, compared them to published reference values and fit a GEE (Generalized Estimating Equation) linear regression model onto the data.ResultsThe sample included 3,046 TB patients. Adjusted theoretical yields in 50m, 100m and 200m catchment areas were 0.32% (95%CI: 0.27,0.37), 0.21% (95%CI: 0.14,0.29) and 0.17% (95%CI: 0.09,0.25), respectively, in the baseline notification window scenario. Theoretical yields in the 50m-catchment area for all notification window scenarios were significantly higher than a reference yield from literature. Yield was positively associated with treatment failure index cases (beta = 0.12, p = 0.001) and short-term inter-province migrants (beta = 0.06, p = 0.022), while greater distance to the DTU (beta = -0.02, p<0.001) was associated with lower yield.ConclusionsThis study is an example of inter-departmental collaboration and application of repurposed cadastral data to progress towards the end TB objectives. The results from Go Vap showed that the use of spatial analysis may be able to identify areas where targeted active case finding in Vietnam can help improve TB case detection.

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Section: Introductionmentioning

confidence: 99%

Optimizing community screening for tuberculosis: Spatial analysis of localized case finding from door-to-door screening for TB in an urban district of Ho Chi Minh City, Viet Nam

Vo¹,

Vu²,

Nguyen³

et al. 2018

PLoS ONE

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“…The implementation components that were identified to improve treatment adherence included video-observed therapy, financial incentives, contingency contracts for adolescents with their parents, and an artificial intelligence monitoring platform. The remaining two studies evaluated a novel contact tracing approach [ 27 ] and a mobile find and treat service for hard-to-reach populations [ 28 ]. Five of the eight studies were conducted alongside a study that assessed the effectiveness of the intervention which helped to inform the economic model [ 25 , 26 , 28 , 29 , 31 ].…”

Section: Resultsmentioning

confidence: 99%

Inclusion of non-medical interventions in model-based economic evaluations for tuberculosis: A scoping review

Ramsay,

Marina Richardson,

Miranda

et al. 2023

PLoS ONE

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Background The economic evaluation of health interventions is important in priority setting. Several guidance documents exist to support the conduct of economic evaluations, however, there is limited guidance for the evaluation of non-medical interventions. For tuberculosis (TB), where equity-deserving groups are disproportionately impacted, assessing interventions aimed at addressing social risk factors is necessary to effectively reduce TB burden. Objective This scoping review seeks to assess the existing literature on model-based economic evaluations of TB interventions to gauge the extent to which non-medical interventions have been evaluated in low-TB-incidence jurisdictions. As a secondary objective, this review aims to characterize key features of existing economic evaluations of medical and non-medical interventions. Methods A literature search was conducted in the grey literature and MEDLINE, Embase, EconLit, and PsychINFO databases to September 6, 2022 following the Arksey and O’Malley framework. Eligible articles were those that used decision-analytic modeling for economic evaluation of TB interventions in low-TB-incidence jurisdictions. Results This review identified 127 studies that met the inclusion criteria; 11 focused on prevention, 73 on detection, and 43 on treatment of TB. Only three studies (2%) evaluated non-medical interventions, including smoking reduction strategies, improving housing conditions, and providing food vouchers. All three non-medical intervention evaluations incorporated TB transmission and robust uncertainty analysis into the evaluation. The remainder of the studies evaluated direct medical interventions, eight of which were focused on specific implementation components (e.g., video observed therapy) which shared similar methodological challenges as the non-medical interventions. The majority of remaining evaluated medical interventions were focused on comparing various screening programs (e.g., immigrant screening program) and treatment regimens. Conclusions This scoping review identified a gap in literature in the evaluation of non-medical TB interventions. However, the identified articles provided useful examples of how economic modeling can be used to explore non-traditional interventions using existing economic evaluation methods.

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“…While contact research consumes resources, it is an integral part of a successful National Tuberculosis Program (NTPs). Therefore utilizing an e cient strategy for contact investigation is a priority for public health (25,26).…”

Section: Discussionmentioning

confidence: 99%

To identify spatial social contact processes related to Mycobacterium tuberculosis (MTB): weighted networks model

Amoori

Amini

Cheraghian

et al. 2023

Preprint

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Background: Tuberculosis is known as one of the main health problems, especially in developing countries.This study aimed to visualize, statistically model and describe the weighted networks of MTB cases to identify MTB-related social contact processes. Methods: In this case-control study, we applied weighted network analysis to assess the network of person-time spent in stores, workplaces, restaurants, mosques, Police bases, homes, hospitals, colleges, hairdressers', schools, contact homes, health centers, cinemas, parks, and markets. Results: The result shows the extracted modules of locations based on the connectivity followed by the person-time at each location. The correlation (p-value) between TB and the turquoise, blue, and brown modules were 0.058 (0.351), 0.004 (0.943), and 0.117 (0.039) respectively. Among the modules, the brown is the most important one in which homes, contact homes, health centers and hospitals have a significant connection with each other. Therefore, it was found that the person time in 4 places is related to the occurrence of tuberculosis. Conclusion:In this study, it was found that most transmission of tuberculosis infection occurs in home, contact homes, health centers and hospitals. These place evaluations allow identification of people with more contact and in need of screening, and it critically leads to the identification of more patients with active TB.

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Targeted Tuberculosis Contact Investigation Saves Money Without Sacrificing Health

Abstract: Background-Health departments require an efficient strategy to investigate individuals exposed to Mycobacterium tuberculosis. The contact priority model (CPM) uses a decision rule to minimize testing of low-risk contacts; however, its impact on costs and disease control is unknown.

Cited by 10 publications

References 16 publications

Optimizing community screening for tuberculosis: Spatial analysis of localized case finding from door-to-door screening for TB in an urban district of Ho Chi Minh City, Viet Nam

Optimizing community screening for tuberculosis: Spatial analysis of localized case finding from door-to-door screening for TB in an urban district of Ho Chi Minh City, Viet Nam

Inclusion of non-medical interventions in model-based economic evaluations for tuberculosis: A scoping review

To identify spatial social contact processes related to Mycobacterium tuberculosis (MTB): weighted networks model

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