Four of five tuberculosis patients experience catastrophic costs related to TB diagnosis and care in Timor-Leste

SETTING: Seventeen health care facilities that report to the national tuberculosis (TB) programme in Timor-Leste. Participants were TB patients.OBJECTIVE: To determine the proportion of TB patients who experienced catastrophic costs due to their TB diagnosis and care, and the magnitude and composition of these costs.DESIGN: This was a cross-sectional health facility-based survey, conducted in 17 DOTS centres between October 2016 and March 2017. TB patients were interviewed by trained nurses using a standardised questionnaire.RESULTS: Among the 457 TB patients who participated (response rate 96.6%), the median age was 32 years; 39.2% were from the capital, Dili. The patient was the main income earner in 26.3% of households. Annual individual and household incomes before and after TB diagnosis decreased by respectively 30.4% and 31.1%. Using a cut-off of 20% of annual household income, 83.0% of patients experienced catastrophic costs related to their TB diagnosis and care. Income loss and nutritional supplementation accounted for respectively 40.7% and 37.9% of these costs.CONCLUSION: Four of five TB patients in Timor-Leste experienced catastrophic costs related to TB diagnosis and care. Financial and social protection to mitigate against these costs are urgently needed, in addition to universal health coverage.

Tuberculosis screening in outpatient healthcare workers: lessons from a high-income, low TB burden country

SETTING: Early diagnosis of latent tuberculous infection (LTBI) should be pursued in healthcare workers (HCWs). While HCWs in hospitals are screened for LTBI, HCWs in outpatient settings are usually not. In 2017, in Italy, a tuberculosis (TB) infected paediatrician working in an outpatient vaccination service infected 15 adults and nine children. The investigation involved 2490 children and 151 adults. Among children, nine were tuberculin skin test-positive, and four developed active TB. Among 123 adult contacts with longer exposure, seven were interferon-gamma release assay (IGRA) positive and none had active TB. Among 28 close contacts, eight had a positive IGRA, and three had pulmonary TB. The total outbreak cost €1 017 903.OBJECTIVE: To compare the outbreak cost with those of potential screening programme strategies.RESULTS: Regular screening of paediatric outpatient HCWs would have cost between €2592 and €11 373. Extending the screening to all outpatient HCWs (caring for adults and children) would have cost between €66 384 and €155 043. Investigating only close contacts would have cost €42 857.CONCLUSION: Each of these screening strategies would have been cost-effective compared with the outbreak investigation occurring in real life with a cut-off of 474 for the maximum number of tested outpatient HCWs needed for the screening strategy to be cost-saving.

Improving the quality of modelling evidence used for tuberculosis policy evaluation

Mathematical modelling is commonly used to evaluate policy options for tuberculosis (TB) control in high-burden countries. Although major policy and funding decisions are made based on these analyses, there is concern about the variability of results produced using modelled policy analyses. We discuss new guidance for country-level TB policy modelling. The guidance was developed by the TB Modelling and Analysis Consortium in collaboration with the World Health Organization Global TB Programme, with input from a range of TB stakeholders (funders, modelling groups, country TB programme staff and subject matter experts). The guidance describes principles for country-level TB modelling, as well as good practices for operationalising the principles. The principles cover technical concerns such as model design, parameterisation and validation, as well as approaches for incorporating modelling into country-led policy making and budgeting. For modellers, this guidance suggests approaches to improve the quality and relevance of modelling undertaken to support country-level planning. For non-modellers, this guidance describes considerations for engaging modelling technical assistance, contributing to a modelling exercise and reviewing the results of modelled analyses. If routinely adopted, this guidance should improve the reliability, transparency and usefulness of modelling for country-level TB policy making. However, this guidance will not address all challenges facing modelling, and ongoing work is needed to improve the empirical evidence base for TB policy evaluation and develop stronger mechanisms for validating models. Increasing country ownership of the modelling process remains a challenge, requiring sustained engagement and capacity building.

Methodological considerations for economic modelling of latent tuberculous infection screening in migrants

Tuberculosis (TB) in migrants from endemic to low-incidence countries results mainly from the reactivation of latent tuberculous infection (LTBI). LTBI screening policies for migrants vary greatly between countries, and the evidence on the cost-effectiveness of the different approaches is weak and heterogeneous. The aim of this review was to assess the methodology used in published economic evaluations of LTBI screening among migrants to identify critical methodological options that must be considered when using modelling to determine value for money from different economic perspectives. Three electronic databases were searched and 10 articles were included. There was considerable variation across this small number of studies with regard to economic perspective, main outcomes, modelling technique, screening options and target populations considered, as well as in parameterisation of the epidemiological situation, test accuracy, efficacy, safety and programme performance. Only one study adopted a societal perspective; others adopted a health care or wider government perspective. Parameters representing the cascade of screening and treating LTBI varied widely, with some studies using highly aspirational scenarios. This review emphasises the need for a more harmonised approach for economic analysis, and better transparency in how policy options and economic perspectives influence methodological choices. Variability is justifiable for some parameters. However, sufficient data are available to standardise others. A societal perspective is ideal, but can be challenging due to limited data. Assumptions about programme performance should be based on empirical data or at least realistic assumptions. Results should be interpreted within specific contexts and policy options, with cautious generalisations.

The effect of household poverty on tuberculosis

pSETTING: Households in Malawi, Mongolia, Myanmar, the Philippines, Rwanda, Tanzania, Viet Nam and Zambia.OBJECTIVE To assess the relationship between household socio-economic level, both relative and absolute, and individual tuberculosis (TB) disease.

DESIGN

We analysed national TB prevalence surveys from eight countries individually and in pooled multicountry models. Socio-economic level (SEL) was measured in terms of both relative household position and absolute wealth. The outcome of interest was whether or not an individual had TB disease. Logistic regression models were used to control for putative risk factors for TB disease such as age, sex and previous treatment history.

RESULTS

Overall, a strong and consistent association between household SEL and individual TB disease was not found. Significant results were found in four individual country models, with the lowest socio-economic quintile being associated with higher TB risk in Mongolia, Myanmar, Tanzania and Viet Nam.

CONCLUSIONS

TB prevalence surveys are designed to assess prevalence of disease and, due to the small numbers of cases usually detected, may not be the most efficient means of investigating TB risk factors. Different designs are needed, including measuring the SEL of individuals in nested case-control studies within TB prevalence surveys or among TB patients seeking treatment in health care facilities.

Modelling the social and structural determinants of tuberculosis: opportunities and challenges

INTRODUCTION

Despite the close link between tuberculosis (TB) and poverty, most mathematical models of TB have not addressed underlying social and structural determinants.

OBJECTIVE

To review studies employing mathematical modelling to evaluate the epidemiological impact of the structural determinants of TB.

METHODS

We systematically searched PubMed and personal libraries to identify eligible articles. We extracted data on the modelling techniques employed, research question, types of structural determinants modelled and setting.

RESULTS

From 232 records identified, we included eight articles published between 2008 and 2015; six employed population-based dynamic TB transmission models and two non-dynamic analytic models. Seven studies focused on proximal TB determinants (four on nutritional status, one on wealth, one on indoor air pollution, and one examined overcrowding, socio-economic and nutritional status), and one focused on macro-economic influences.

CONCLUSIONS

Few modelling studies have attempted to evaluate structural determinants of TB, resulting in key knowledge gaps. Despite the challenges of modelling such a complex system, models must broaden their scope to remain useful for policy making. Given the intersectoral nature of the interrelations between structural determinants and TB outcomes, this work will require multidisciplinary collaborations. A useful starting point would be to focus on developing relatively simple models that can strengthen our knowledge regarding the potential effect of the structural determinants on TB outcomes.