Pre-treatment loss to follow-up and treatment delay among bacteriologically-confirmed tuberculosis patients diagnosed in Mandalay Region, Myanmar

Out-of-pocket payment and catastrophic health expenditure of tuberculosis patients in accessing care at public-private mix clinics in Myanmar, 2022

BACKGROUND

The financial burden of tuberculosis (TB) can hinder patients and their families, creating obstacles throughout the care cascade, despite TB prevention and control being provided free of charge. In Myanmar, patients can visit private providers operating under public-private mix (PPM) schemes, where TB services (diagnosis and treatment) are typically offered at no cost. The study focused on quantifying the financial burden faced by TB patients seeking care from Myanmar's PPM providers.

METHODS

This cross-sectional telephone survey included 695 adults seeking TB treatment [drug-susceptible TB (DS-TB) and retreatment TB] from various private providers in four states and regions with high TB burden in Myanmar. Telephone interviews were conducted in May and June 2022. Both direct and indirect costs incurred from the patient and their household perspective were valued in 2022 and estimated throughout pre- and post-TB treatment episodes. The TB-affected households were defined as experiencing catastrophic health expenditure if their expenditure due to TB exceeded 20% of their capacity to pay, as recommended by the World Health Organization. All cost data were collected in Myanmar Kyats (MMK) and converted to USD (1 USD = 1850 MMK as of July 20, 2022). Logistic regression analysis was done to identify the determinants of catastrophic health expenditure.

RESULTS

The findings showed patients made a median of 7 times for clinic visits throughout their treatment, with the median total cost for the entire TB treatment being 53.4 US dollars (USD), including direct medical and testing costs (11.9 USD) and direct non-medical patient expenditure (11.6 USD). Pre-treatment costs were higher compared to post-treatment costs (the intensive phase and continuation phase). During the intensive phase, TB care cost was nearly free, but during the continuation phase, it was a median of 2.6 USD. About 34.5% of patients experienced catastrophic health expenditure due to TB treatment, with expenses exceeding 20% of their capacity to pay. Multivariate regression analysis revealed that patients with a history of hospitalization (aOR = 14.84; P < 0.01), seeking care from regions other than Yangon (aOR = 2.6; P < 0.01), and using coping strategies (aOR = 12.53; P < 0.01), were more likely to face catastrophic financial burdens. Higher monthly household income (over 162 USD) was associated with a decreased risk of incurring catastrophic health expenditure (aOR = 0.38; P < 0.01).

CONCLUSIONS

TB patients and their households in Myanmar faced risk of catastrophic costs, even when treated in the private sector with free diagnostic charges and anti-TB medicine. The study highlighted the need for additional strategies or policies to make TB care affordable and mitigate the financial burden of TB-affected households.

Pre-treatment loss to follow-up in adults with pulmonary TB in Kenya

SETTING

County referral hospital in western Kenya.

OBJECTIVES

To ascertain the proportion of pre-treatment loss to follow-up (PTLFU) and associated patient factors in adults with pulmonary TB (PTB) in western Kenya.

DESIGN

A retrospective data review of laboratory and treatment registers for adults with bacteriologically confirmed PTB between January 2018 to December 2021. We defined PTLFU as failure to initiate treatment within 14 days of diagnosis. We used multivariable logistic regression modelling to identify patient factors associated with PTLFU.

RESULTS

Of 476 patients with PTB, 67.2% were male; the mean age was 36.1 years; 37.0% were HIV-positive; 5.7% had a history of anti-TB treatment; 40.6% were not traceable in the treatment register; 202 (42.4%, 95% CI 38.1-46.9) experienced PTLFU. Age ≥55 years (aOR 2.6, 95% CI 1.0-6.7) and providing only an address (aOR 34.2, 95% CI 18.7-62.5) or only a telephone contact number (aOR 22.3, 95% CI 3.5-141.1) were associated with PTLFU. Sex, HIV status, history of anti-TB treatment and place of residence were not associated with PTLFU.

CONCLUSION

PTLFU contributes markedly to TB patient losses in western Kenya. Strengthening systems for documenting patient information and actively monitoring PTLFU are crucial for attrition reduction.

Development and validation of a risk prediction model for pulmonary tuberculosis among presumptive tuberculosis cases in Ethiopia

BACKGROUND

Early diagnosis and treatment of tuberculosis (TB) is one of the key strategies to achieve the WHO End TB targets. This study aimed to develop and validate a simple, convenient risk score to diagnose pulmonary TB among presumptive TB cases.

METHODS

This prediction model used Ethiopian national TB prevalence survey data and included 5459 presumptive TB cases from all regions of Ethiopia. Logistic regression was used to determine which variables are predictive of pulmonary TB. A risk prediction model was developed, incorporating significant variables (p<0.05). The Youden Index method was used to choose the optimal cut-off point to separate the risk score of the patients as high and low. Model performance was assessed using discrimination power and calibration. Internal validation of the model was assessed using Efron's enhanced bootstrap method, and the clinical utility of the risk score was assessed using decision curve analysis.

RESULTS

Of total participants, 94 (1.7%) were confirmed to have TB. The final prediction model included three factors with different scores: (1) TB contact history, (2) chest X-ray (CXR) abnormality and (3) two or more symptoms of TB. The optimal cut-off point for the risk score was 6 and was found to have a good discrimination accuracy (c-statistic=0.70, 95% CI: 0.65 to 0.75). The risk score has sensitivity of 51.1%, specificity of 79.9%, positive predictive value of 4.3% and negative predictive value of 98.9%. After internal validation, the optimism coefficient was 0.003, which indicates the model is internally valid.

CONCLUSION

We developed a risk score that combines TB contact, number of TB symptoms and CXR abnormality to estimate individual risk of pulmonary TB among presumptive TB cases. Though the score is easy to calculate and internally validated, it needs external validation before widespread implementation in a new setting.

Missing Cases of Bacteriologically Confirmed TB/DR-TB from the National Treatment Registers in West and North Sumatra Provinces, Indonesia

This study aimed to assess the percentage of confirmed drug-sensitive (DS) TB and drug-resistant (DR) TB patients who were missing in the national treatment registration in North Sumatra and West Sumatra, where treatment services for DR-TB in North Sumatra are relatively well established compared with West Sumatra, where the system recently started. Confirmed DS/DR-TB records in the laboratory register at 40 government health facilities in 2017 and 2018 were traced to determine whether they were in the treatment register databases. A Jaro-Winkler soundexed string distance analysis enhanced by socio-demographic information matching had sensitivity and specificity over 98% in identifying the same person in the same or different databases. The laboratory data contained 5885 newly diagnosed records of bacteriologically confirmed TB cases. Of the 5885 cases, 1424 of 5353 (26.6%) DS-TB cases and 133 of 532 (25.0%) DR-TB cases were missing in the treatment notification database. The odds of missing treatment for DS-TB was similar for both provinces (AOR = 1.0 (0.9, 1.2), but for DR-TB, North Sumatra had a significantly lower missing odds ratio (AOR = 0.4 (0.2, 0.7). The system must be improved to reduce this missing rate, especially for DR-TB in West Sumatra.

Who is more likely to return for TB test results? A survey at three high-burden primary healthcare facilities in Cape Town, South Africa

BACKGROUND

In low- and middle-income countries with a high burden of tuberculosis (TB), a large proportion of people who are tested for TB do not return to the health facility to collect their test results and initiate treatment, thus putting themselves at increased risk of adverse outcomes.

METHODS

This prospective study aimed to identify predictors of returning to the primary health care (PHC) facility to collect TB test results. From 15 August to 15 December 2017, 1105 people who tested for pulmonary TB at three Cape Town PHC facilities were surveyed. Using multi-variate logistic regressions on an analysis sample of 1097 people, three groups of predictors were considered: (i) demographics, health and socio-economic status; (ii) costs and benefits; and (iii) behavioural factors.

RESULTS

Forty-four percent of people tested returned to the PHC facility to collect their test results within the stipulated 2 days, and 68% returned before the end of the study period. Return was strongly and positively correlated with expecting a TB-positive result, cognitive avoidance and postponement behaviour.

CONCLUSION

Interventions to improve pre-treatment loss to follow-up should target patients who think they do not have TB, and those with a history of postponement behaviour and cognitive avoidance.

Patient and health system factors associated with pretreatment loss to follow up among patients diagnosed with tuberculosis using Xpert® MTB/RIF testing in Uganda

BACKGROUND

In 2018, Uganda started only 65% of persons with incident tuberculosis on treatment. Pretreatment loss to follow up is an important contributor to suboptimal treatment coverage. We aimed to describe the patient and health facility-level characteristics associated with pretreatment loss to follow up among patients diagnosed with pulmonary tuberculosis at public health facilities in Uganda.

METHODS

At ten public health facilities, laboratory register data was used to identify patients aged ≥ 15 years who had a positive Xpert®MTB/RIF test. Initiation on TB treatment was ascertained using the clinical register. Factors associated with not being initiated on TB treatment within two weeks of diagnosis were examined using a multilevel logistic regression model accounting for clustering by health facility.

RESULTS

From January to June 2018, 510 patients (61.2% male and 31.5% HIV co-infected) were diagnosed with tuberculosis. One hundred (19.6%) were not initiated on TB treatment within 2 weeks of diagnosis. Not having a phone number recorded in the clinic registers (aOR 7.93, 95%CI 3.93-13.05); being HIV-infected (aOR 1.83; 95% CI: 1.09-3.26) and receiving care from a high volume health facility performing more than 12 Xpert tests per day (aOR 4.37, 95%CI 1.69-11.29) and were significantly associated with pretreatment loss to follow up.

CONCLUSION

In public health facilities in Uganda, we found a high rate of pretreatment loss to follow up especially among TBHIV co-infected patients diagnosed at high volume health facilities. Interventions to improve the efficiency of Xpert® MTB/RIF testing, including monitoring of the TB care cascade should be developed and implemented.

Treatment delay in childhood pleural tuberculosis and associated factors

Background

Delay in diagnosis and treatment worsens the disease and clinical outcomes, which further enhances the transmission of tuberculosis (TB) in the community. Therefore, this study aims to assess treatment delay and its associated factors among childhood pleural TB patients in China.

Methods

Between January 2006 and December 2019, consecutive patients aged ≤15 years with definite or possible pleural TB were included for analysis. Treatment delay duration was defined as the time interval from the onset of symptoms to treatment initiation and was stratified into two categories: < 30 days, ≥30 days (median delay day is 30 days). The electronic medical records of children were reviewed to obtain demographic characteristics, clinical characteristics, laboratory examinations, and radiographic findings. Univariate and multivariate logistic regressions were used to explore the factors associated with treatment delay in patients.

Results

A total of 154 children with pleural TB were included, with a mean age of 12.4 ± 3.3 years. The median treatment delay was 30 days (interquartile range, 10–60 days) and 51.3% (n = 79) of patients underwent a treatment delay. Multivariate analysis revealed that heart rate (≤92 beats/min, age-adjusted OR = 2.503, 95% CI: 1.215, 5.155) and coefficient of variation of red cell distribution width (RDW-CV, ≥12.9%, age-adjusted OR = 4.705, 95% CI: 2.048, 10.811) were significant risk factors for treatment delays in childhood pleural TB.

Conclusion

Our findings suggested that a significant treatment delay occurs among children with pleural TB in China. Patients with a low heart rate or a high RDW-CV experienced delays in the initiation of anti-TB therapy. Therefore, well awareness of the associations between clinical characteristics and treatment delay may improve the management of children with pleural TB and enable us to develop preventive strategies to reduce the treatment delay.

Supplementary information

Supplementary information accompanies this paper at 10.1186/s12879-020-05496-4.

Of tuberculosis and non-tuberculous mycobacterial infections - a comparative analysis of epidemiology, diagnosis and treatment

Pulmonary diseases due to mycobacteria cause significant morbidity and mortality to human health. In addition to tuberculosis (TB), caused by Mycobacterium tuberculosis (Mtb), recent epidemiological studies have shown the emergence of non-tuberculous mycobacteria (NTM) species in causing lung diseases in humans. Although more than 170 NTM species are present in various environmental niches, only a handful, primarily Mycobacterium avium complex and M. abscessus, have been implicated in pulmonary disease. While TB is transmitted through inhalation of aerosol droplets containing Mtb, generated by patients with symptomatic disease, NTM disease is mostly disseminated through aerosols originated from the environment. However, following inhalation, both Mtb and NTM are phagocytosed by alveolar macrophages in the lungs. Subsequently, various immune cells are recruited from the circulation to the site of infection, which leads to granuloma formation. Although the pathophysiology of TB and NTM diseases share several fundamental cellular and molecular events, the host-susceptibility to Mtb and NTM infections are different. Striking differences also exist in the disease presentation between TB and NTM cases. While NTM disease is primarily associated with bronchiectasis, this condition is rarely a predisposing factor for TB. Similarly, in Human Immunodeficiency Virus (HIV)-infected individuals, NTM disease presents as disseminated, extrapulmonary form rather than as a miliary, pulmonary disease, which is seen in Mtb infection. The diagnostic modalities for TB, including molecular diagnosis and drug-susceptibility testing (DST), are more advanced and possess a higher rate of sensitivity and specificity, compared to the tools available for NTM infections. In general, drug-sensitive TB is effectively treated with a standard multi-drug regimen containing well-defined first- and second-line antibiotics. However, the treatment of drug-resistant TB requires the additional, newer class of antibiotics in combination with or without the first and second-line drugs. In contrast, the NTM species display significant heterogeneity in their susceptibility to standard anti-TB drugs. Thus, the treatment for NTM diseases usually involves the use of macrolides and injectable aminoglycosides. Although well-established international guidelines are available, treatment of NTM disease is mostly empirical and not entirely successful. In general, the treatment duration is much longer for NTM diseases, compared to TB, and resection surgery of affected organ(s) is part of treatment for patients with NTM diseases that do not respond to the antibiotics treatment. Here, we discuss the epidemiology, diagnosis, and treatment modalities available for TB and NTM diseases of humans.