Non-adherence to anti-tuberculosis treatment, reasons and associated factors among TB patients attending at Gondar town health centers, Northwest Ethiopia

Effectiveness of Mobile Application-Based Intervention on Medication Adherence Among Pulmonary Tuberculosis Patients: A Systematic Review

OBJECTIVES

To analyze the effectiveness of mobile application-based interventions on medication adherence among pulmonary tuberculosis patients.

ELIGIBILITY CRITERIA

Intervention articles involving patients with pulmonary tuberculosis and/or their families, utilizing mobile application-based intervention research designs, assessing patients individually or in groups with or without a control group, using mobile application-based interventions that can be accessed via a browser, utilizing adherence to treatment as the primary outcome, and written in English and Indonesian were included.

INFORMATION SOURCES

The articles published from 2012 to 2022 were obtained from EBSCO Host, ProQuest, GARUDA, PubMed, Scopus, and Cochrane Online Library databases.

RISK OF BIAS

The Critical Assessment Standards Program was used to assess the trustworthiness, relevance, and results of the published articles. The quality of the articles was assessed according to Johns Hopkins Nursing Evidence-Based Practice guidelines.

RESULTS

Seven studies reported that mobile application-based interventions can improve medication adherence, including treatment success, number of missed drugs, correct intake of medications, adherence to health programs, timeliness, and frequency of clinic visits.

DISCUSSION

This review only analyzed the impact of mobile application-based interventions on patients, and their effects on the family, social, and health services were not covered.

Drug-resistant tuberculosis: a persistent global health concern

Drug-resistant tuberculosis (TB) is estimated to cause 13% of all antimicrobial resistance-attributable deaths worldwide and is driven by both ongoing resistance acquisition and person-to-person transmission. Poor outcomes are exacerbated by late diagnosis and inadequate access to effective treatment. Advances in rapid molecular testing have recently improved the diagnosis of TB and drug resistance. Next-generation sequencing of Mycobacterium tuberculosis has increased our understanding of genetic resistance mechanisms and can now detect mutations associated with resistance phenotypes. All-oral, shorter drug regimens that can achieve high cure rates of drug-resistant TB within 6-9 months are now available and recommended but have yet to be scaled to global clinical use. Promising regimens for the prevention of drug-resistant TB among high-risk contacts are supported by early clinical trial data but final results are pending. A person-centred approach is crucial in managing drug-resistant TB to reduce the risk of poor treatment outcomes, side effects, stigma and mental health burden associated with the diagnosis. In this Review, we describe current surveillance of drug-resistant TB and the causes, risk factors and determinants of drug resistance as well as the stigma and mental health considerations associated with it. We discuss recent advances in diagnostics and drug-susceptibility testing and outline the progress in developing better treatment and preventive therapies.

Assessment of Non-Adherence to Anti-TB Drugs and Associated Factors Among Patients Attending TB Treatment Centers During COVID-19 Pandemic in Mogadishu, Somalia: A Cross-Sectional Study

Background

The COVID-19 pandemic's first wave and subsequent lockdowns disrupted global healthcare systems, significantly impacting essential services including tuberculosis (TB) care. Non-adherence to anti-TB drugs is a critical concern, leading to treatment failure, drug resistance, and increased morbidity and mortality. This study assessed the rate and determinants of non-adherence to TB treatment among patients at TB centers during the first wave of the pandemic.

Material and Methods

A cross-sectional study was conducted from June 15 to July 30, 2020, involving 255 TB patients at three centers in Mogadishu. Data were gathered using the Morisky Medication Adherence Scale-8 (MMAS-8) through structured interviews and analyzed using descriptive statistics and binary logistic regression.

Results

The study found a 34.5% non-adherence rate during the pandemic. Key reasons for non-adherence included forgetting to take medication (33%), feeling well (29%), experiencing side effects (18%), and fear of contracting COVID-19 (16%). Significant factors associated with non-adherence were age groups 25-34 years (OR = 2.96, p = 0.024) and 35-44 years (OR = 4.55, p = 0.005), unemployment (OR = 2.57, p = 0.037), smoking (OR = 3.49, p = 0.029), tobacco use (OR = 4.15, p = 0.034), proximity to a health facility (OR = 0.44, p = 0.033), perception of healthcare providers as very friendly (OR = 0.24, p = 0.031) or friendly (OR = 0.45, p = 0.023), being in the continuous treatment phase (OR = 3.2, p < 0.001), and experiencing adverse treatment effects (OR = 2.42, p = 0.003).

Conclusion

Non-adherence to anti-tuberculosis treatment was notably high in Mogadishu during the first wave of the pandemic, necessitating targeted interventions to improve adherence.

Influence of the new dispersible fixed-dose combination anti-Tuberculosis drug on treatment adherence among children with Tuberculosis in Osun State, Nigeria

BACKGROUND

The dispersible fixed-dose combination drug has been recommended as the mainstay of treatment for TB in children. However, more needs to be known about its effect on treatment. This study aimed to assess the effectiveness of the formulation on treatment adherence among children with TB.

METHODS

A historical cohort design was used to assess and compare adherences of old loose non-dispersible and new dispersible fixed-dose anti-TB drugs, using a convergent parallel mixed-method approach for data collection. Determinants of treatment adherence were assessed using binary logistic regression.

RESULTS

The proportion of children with good treatment adherence was higher in the new dispersible formulation group (82 [64.6%]) relative to the proportion among the loose non-dispersible formulation group (29 [23.4%]). Reports of forgetfulness, travelling and pill burden were significantly higher among those with poor adherence in the loose non-dispersible formulation group. Significant predictors of treatment adherence were acceptability (adjusted OR [AOR]=4.1, p=0.013, 95% CI 1.342 to 12.756), travelling from treatment areas (AOR=8.9, p=0.002, 95% CI 2.211 to 35.771) and forgetfulness (AOR=74.0, p<0.001, 95% CI 23.319 to 234.725).

CONCLUSIONS

The determinants of treatment adherence are multifactorial. In addition to ensuring universal access to the drug, flexible referral in case of travelling and ensuring treatment partners' participation to minimise forgetfulness to take pills, are essential.

Adherence to treatment in pulmonary tuberculosis: Rodgers' evolutionary concept analysis

Background

Adherence to treatment is essential for the management of pulmonary tuberculosis. Nurses and healthcare professionals play a significant role in promoting adherence behavior among this population. Nevertheless, defining adherence to treatment within this particular population remains complex.

Objective

This study aimed to explore and clarify the concept of adherence to treatment among individuals with pulmonary tuberculosis.

Methods

Rodgers' evolutionary concept analysis was employed in this study. A literature search was conducted in the PubMed and Scopus databases to identify relevant studies published between July 2013 and July 2023.

Results

The attributes of adherence to treatment in pulmonary tuberculosis consist of multiple components: biological, individual, social, health service, and policy-making processes. Antecedents include various patient-related factors as well as factors associated with clinical conditions and patient-health professional engagement. Three consequences of the concept have emerged: enhanced treatment efficacy, increased commitment to tuberculosis treatment adherence, and improved health service quality.

Conclusion

This study provides a comprehensive operational definition of adherence to tuberculosis treatment, including its attributes, antecedents, and consequences. This framework will assist nurses in evaluating adherence more effectively. However, further research into the experiences of individuals adhering to tuberculosis treatment is needed to confirm and enhance these strategies.

Health literacy and tuberculosis control: systematic review and meta-analysis

Objective

To identify literature on health literacy levels and examine its association with tuberculosis treatment adherence and treatment outcomes.

Methods

Two authors independently searched Pubmed®, Embase, CINAHL, PsycINFO, Scopus, LILACS, Global Health Medicus and ScienceDirect for articles reporting on health literacy levels and tuberculosis that were published between January 2000 and September 2023. We defined limited health literacy as a person's inability to understand, process, and make decisions from information obtained concerning their own health. Methodological quality and the risk of bias was assessed using the JBI critical appraisal tools. We used a random effects model to assess the pooled proportion of limited health literacy, the association between health literacy and treatment adherence, and the relationship between health literacy and tuberculosis-related knowledge.

Findings

Among 5813 records reviewed, 22 studies met the inclusion criteria. The meta-analysis revealed that 51.2% (95% confidence interval, CI: 48.0-54.3) of tuberculosis patients exhibit limited health literacy. Based on four studies, patients with lower health literacy levels were less likely to adhere to tuberculosis treatment regimens (pooled odds ratio: 1.95; 95% CI: 1.37-2.78). Three studies showed a significant relationship between low health literacy and inadequate knowledge about tuberculosis (pooled correlation coefficient: 0.79; 95% CI: 0.32-0.94).

Conclusion

Health literacy is associated with tuberculosis treatment adherence and care quality. Lower health literacy might hamper patients' ability to follow treatment protocols. Improving health literacy is crucial for enhancing treatment outcomes and is a key strategy in the fight against tuberculosis.

Perception, acceptability and challenges of digital adherence technology among TB healthcare workers

INTRODUCTION

Successful treatment of TB requires high levels of adherence to treatment. This has been found to be below optimal with directly observed therapy (DOT), and digital adherence technologies (DATs) offer a promising approach to non-adherence to medication and improving treatment outcomes. This study explores the perception, acceptability, and challenges of DATs among healthcare workers (HCWs).

METHODS

The study was conducted in eight states in Nigeria among Health Care workers involved in treating patients with TB. This was a descriptive cross-sectional study using an open questionnaire and analysed using IBM SPSS v25.

RESULTS

Twenty-three HCWs (95.8%) agreed that DATs helped them provide better support and counselling to their patients. All of them would recommend DATs to their patients and found it easy to explain them. Eleven (45.8%) of them were not able to use DATs on a few occasions; their reasons were poor network (n = 9, 37.5%) and (n = 1, 4.2%) power failure.

CONCLUSION

DATs help HCWs provide better support and care regarding real-time tracking of their patients' adherence to treatment and possibly reduction of attrition. This implies that DATs are a suitable alternative to DOT to help HCWs provide the best care and support to their patients towards achieving the End TB targets.

Comparison of treatment adherence among TB patients with and without COVID-19 in South India

AIM

The present study aimed to compare the adherence to anti-TB treatment among post-COVID-19 pulmonary TB cases and TB patients without a history of COVID-19 in South India.

METHODS

A prospective, cross sectional study was conducted in all drug-sensitive pulmonary tuberculosis patients in National TB Elimination Program. The research investigates the impact of the COVID-19 pandemic on TB management, considering both subjective and objective measures of adherence. Data were collected using a validated instrument for subjective assessment and urine metabolite testing for objective evaluation.

RESULTS

The results reveal significant differences (p < 0.05) between subjective and objective adherence measures, emphasizing the need for accurate and comprehensive assessment methods. However, there is no statistically significant difference (p > 0.05) in adherence to anti-TB treatment among post-COVID-19 pulmonary TB cases and TB patients without a history of COVID-19 in South India. The reason for non-adherence in both groups were ATT side effects, loss of daily wages, forgetting to take medication and lazy to take medications.

CONCLUSION

The study concluded that there is no statistically significant difference (p > 0.05) in adherence to anti-TB treatment among post-COVID-19 pulmonary TB cases and TB patients without a history of COVID-19.

Telemedicine as a tool to prevent multi-drug resistant tuberculosis in poor resource settings: Lessons from Nigeria

Background

This mini review aims to provide an overview of the role of telemedicine in preventing multi-drug resistant tuberculosis (MDR-TB) in Nigeria. The specific objectives include examining the potential benefits of telemedicine, identifying the challenges associated with its implementation, and highlighting the importance of addressing infrastructure limitations and data privacy concerns.

Methods

This minireview is based on a comprehensive analysis of existing literature, including scholarly articles, and reports,. A systematic search was conducted using electronic databases, such as PubMed and Google Scholar, to identify relevant publications related to telemedicine and MDR-TB prevention in Nigeria. The selected articles were assessed for their relevance, and key findings were synthesized to provide an overview of the role of telemedicine in addressing the challenges of MDR-TB in Nigeria.

Results

The review demonstrates that telemedicine has the potential to significantly contribute to MDR-TB prevention efforts in Nigeria. The benefits of telemedicine include improved access to specialized care, enhanced patient adherence to treatment, and potential cost savings. However, challenges such as infrastructure limitations and data privacy concerns need to be addressed for successful implementation. Integrating telemedicine into the healthcare system has the potential to strengthen MDR-TB prevention, particularly in underserved areas, including within Nigeria. Specifically, the integration of telemedicine into the healthcare system can enhance access to specialized care, improve patient adherence, and potentially reduce costs associated with MDR-TB management.

Conclusions

Addressing infrastructure challenges, ensuring data privacy and security, and fostering trust among healthcare providers and patients are critical for successful implementation of telemedicine. Further research and policy frameworks are needed to guide the effective implementation and scale-up of telemedicine in MDR-TB prevention efforts in Nigeria.

Socio-demographic factors & adherence of newly diagnosed pulmonary tuberculosis patients to the newly introduced daily regimen: A hospital survey based follow up study

INTRODUCTION

Poor adherence to anti-tuberculosis medication is a major barrier to its global control. Patient adherence to the standard anti-TB therapy (ATT) in developing countries has been estimated to be as low as 40%. Multiple factors influencing adherence to treatment are: Economic and structural factors such as homelessness, unemployment and poverty; patient related factors like ethnicity, gender, age, knowledge about TB, cultural belief systems, mental state etc. AIMS & OBJECTIVES: This study was planned with the aim to study the association between various socio-demographic factors with level of adherence to the daily regimen amongst newly diagnosed pulmonary TB patients at a tertiary care hospital in metropolitan city of Maharashtra. Additionally, we tried to determine the type of non-adherence along with reasons for it.

METHOD

ology: An interview based pre-tested and validated questionnaire was developed & used as data collection tool. Total 181 newly diagnosed, FDC naïve, drug sensitive pulmonary TB patients from DOT center of a tertiary care hospital were enrolled & interviewed for sociodemographic, treatment & adherence details. They were followed up at 2nd & 6th month of their treatment, i.e., IP & CP follow up. Their Nikshay portal data & TB treatment cards were accessed for information on treatment adherence.

RESULTS

Out of 181 patients, 110 (60.8%) were found to be adherent whereas 71 (39.2%) were found to be non-adherent. Among those non-adherent, 64 (90.9%) had treatment gaps (intermittent missed doses) & 7 (9.9%) showed discontinuation of treatment. Majority of these patients reported personal obligations & starting to feel better as the main reason for non-adherence (p < 0.0001). The sociodemographic factors that had significant impact on level of adherence were patients' age (p = 0.013); level of education (p = 0.035); family size (p = 0.018); family history of TB (p = 0.0001) & current smoking habit (p = 0.025).

CONCLUSION

It is evident from the study that socio-demographic factors do have a major impact on patients' levels of adherence to treatment. Family history of TB as well as sputum conversion at end of treatment/CP have been identified as independent risk factors among pulmonary TB patients who are non-adherent to treatment. Thus, ensuring robust availability of DBT & intensive tobacco cessation sessions for all diagnosed patients as well as strengthening system for making prophylaxis available for household & close contacts of patients can help in reducing impact of socio-demographic factors & improving adherence levels.

RECOMMENDATIONS

In-patient care option specifically during IP; regular dietary counseling to improve nutrition & help reduce drug side effects & use of alternate adherence technologies like facility-based DOT or Video Observed Therapy (VOT) wherever feasible can help to improve adherence levels for TB patients from all walks of life.

Non-adherence to anti-tuberculosis treatment and associated factors among TB patients in public health facilities of Hossana town, Southern Ethiopia, 2022

Background

Non-adherence to anti-tuberculosis treatment is one of the crucial challenges to improving TB treatment outcomes and reducing healthcare costs. The prevalence of non-adherence to anti-tuberculosis treatment is not well documented in the study context. Therefore, this study was aimed at estimating the prevalence of non-adherence to anti-tuberculosis treatment and associated factors among TB patients attending TB clinics in Hosanna town, Southern Ethiopia, in 2022.

Methods

An institution-based cross-sectional study was conducted from April to May 2022. A systematic random sampling technique was employed to select a sample of 233 study subjects from all four public health facilities. According to the order of arrival, every second person was interviewed. Data were collected using a structured questionnaire that was created using several works of literature. A multivariable binary logistic regression analysis was used to identify factors associated with non-adherence to anti-TB drugs. The adjusted odds ratio (AOR) with a 95% confidence interval (CI) was estimated.

Results

The study included 233 tuberculosis (TB) patients with a response rate of 100%. The prevalence of non-adherence was 18% (95% CI: 15.39, 21.82). Being in the continuation phase (AOR = 3.09, 95% CI: 1.16, 8.23), not attending formal education (AOR = 2.47, 95% CI: 1.12, 5.42), not disclosing TB status to their family (AOR = 2.36, 95% CI: 0.11, 5.04) and having poor TB knowledge (AOR = 3.09, 95% CI: 1.48, 6.48) were significantly associated with non-adherence to TB treatment.

Conclusion

Among TB patients, there was a significant prevalence of non-adherence to anti-TB medications. Interventions that target patients with low education status, are in the continuation phase, and do not disclose their TB status to their families are required to improve TB treatment adherence. In addition, improving health education is important to enhance TB knowledge, which has an impact on TB treatment adherence. The need for good drug adherence should be emphasized while counseling TB patients.

Development and validation of a structured questionnaire for assessing risk factors of medication non-adherence among pulmonary tuberculosis patients in Indonesia

Background: Medication non-adherence is a significant concern in tuberculosis (TB) treatment, requiring a precise understanding of the associated risk factors. However, there is a lack of appropriate means to assess the risk factors among TB patients in Indonesia, leading to the development and validation of a structured questionnaire for this purpose. Method: This study unfolded in two distinct phases, namely, the first included questionnaire construction through framework development, item generation, item screening, and pretesting (in 50 patients). The second comprised questionnaire validation with 346 participants using confirmatory factor analysis (CFA) and structural equation modeling-partial least squares (SEM-PLS). Additionally, reliability testing was conducted using Cronbach's alpha and composite reliability statistical techniques. Results: In the development phase, 168 items were defined, consisting of sociodemographic characteristics (8 items) and risk factors for medication non-adherence (160 items). Expert evaluation reduced the number of items to 60, which decreased to 22 after performing a pilot study. Subsequent SEM-PLS modeling resulted in the identification of 14 valid items, representing five major risk factors, namely, socioeconomics (4 items), healthcare team (4 items), condition (3 items), therapy (2 items), and patient (1 item). Only condition-related factors were found to influence non-adherence, and all constructs showed good reliability based on Cronbach's alpha (>0.6) and composite reliability (0.7) values. Conclusion: The final 22 items that emerged from this rigorous process indicated a valid and robust questionnaire for assessing risk factors of medication non-adherence among pulmonary tuberculosis patients in Indonesia. The developed questionnaire was positioned to be a valuable tool for healthcare professionals, policymakers, and scientists in creating patient-centered strategies and interventions to address non-adherence.

Risk factors for poor engagement with a smart pillbox adherence intervention among persons on tuberculosis treatment in Ethiopia

BACKGROUND

Non-adherence to tuberculosis treatment increases the risk of poor treatment outcomes. Digital adherence technologies (DATs), including the smart pillbox (EvriMED), aim to improve treatment adherence and are being widely evaluated. As part of the Adherence Support Coalition to End TB (ASCENT) project we analysed data from a cluster-randomised trial of DATs and differentiated care in Ethiopia to examine individual-factors for poor engagement with the smart pillbox.

METHODS

Data were obtained from a cohort of trial participants with drug-sensitive tuberculosis (DS-TB) whose treatment started between 1 December 2020 and 1 May 2022, and who were using the smart pillbox. Poor engagement with the pillbox was defined as (i) > 20% days with no digital confirmation and (ii) the count of days with no digital confirmation, and calculated over a two evaluation periods (56-days and 168-days). Logistic random effects regression was used to model > 20% days with no digital confirmation and negative binomial random effects regression to model counts of days with no digital confirmation, both accounting for clustering of individuals at the facility-level.

RESULTS

Among 1262 participants, 10.8% (133/1262) over 56-days and 15.8% (200/1262) over 168-days had > 20% days with no digital confirmation. The odds of poor engagement was less among participants in the higher stratum of socio-economic position (SEP) over 56-days. Overall, 4,689/67,315 expected doses over 56-days and 18,042/199,133 expected doses over 168-days were not digitally confirmed. Compared to participants in the poorest SEP stratum, participants in the wealthiest stratum had lower rates of days not digitally confirmed over 168-days (adjusted rate ratio [RRa]:0.79; 95% confidence interval [CI]: 0.65, 0.96). In both evaluation periods (56-days and 168-days), HIV-positive status (RRa:1.29; 95%CI: 1.02, 1.63 and RRa:1.28; 95%CI: 1.07, 1.53), single/living independent (RRa:1.31; 95%CI: 1.03, 1.67 and RRa:1.38; 95%CI: 1.16, 1.64) and separated/widowed (RRa:1.40; 95%CI: 1.04, 1.90 and RRa:1.26; 95%CI: 1.00, 1.58) had higher rates of counts of days with no digital confirmation.

CONCLUSION

Poorest SEP stratum, HIV-positive status, single/living independent and separated/ widowed were associated with poor engagement with smart pillbox among people with DS-TB in Ethiopia. Differentiated care for these sub-groups may reduce risk of non-adherence to TB treatment.

Factors associated with treatment adherence among pulmonary tuberculosis patients in New Delhi

BACKGROUND

TB is treated with a six-month course of four antimicrobial drugs, and nearly all cases of TB can be cured if the medications are given and taken correctly. Due to its prolong treatment plans, there can be reasons associated with non-adherence to treatment by TB patients. Hence, the present study aimed to explore the factors associated with medication adherence among TB patients.

METHOD

A cross-sectional descriptive survey was conducted among adult pulmonary tuberculosis patients enrolled under RNTCP (now NTEP) in New Delhi among 27 functional RNTCP districts. Around 200 TB patients who are enrolled in the Nikshay App and are also on treatment were considered. A structured questionnaire was prepared for the interview guide. Analysis was done using bivariate analysis, chi-square tests, and Fisher's exact tests.

RESULTS

Among the total participants, 173 (86.5%) were adherent and the remaining 27 (13.5%) participants were non-adherent. The majority of the participants (91%) said they were able to follow the routine to the DOTS center, and 9% said they find it difficult to report to the DOTS center as per their schedule. Only 12.35% of non-adherent participants were seen among those who get regular reminders from their families to take medicines, as compared to 18.42% among those who did not get regular reminders from their families. More than one-fourth of the participants (25.9%) who report not getting necessary motivation from healthcare providers were non-adherent. Motivation by healthcare workers to follow drug schedules was found statistically significant to treatment compliance with a P-value of 0.0422.

CONCLUSION

TB is a curable disease; this belief has turned out to be a motivational factor for patients suffering from this disease. Studies have shown that faith in the efficacy of treatment helps adherence to TB treatment while other studies describe how patient adherence was adversely affected by the belief that TB is incurable or the treatment is inefficient or that alternative treatment such as traditional medicine is better.

A machine learning approach to explore individual risk factors for tuberculosis treatment non-adherence in Mukono district

Despite the availability and implementation of well-known efficacious interventions for tuberculosis treatment by the Ministry of Health, Uganda (MoH), treatment non-adherence persists. Moreover, identifying a specific tuberculosis patient at risk of treatment non-adherence is still a challenge. Thus, this retrospective study, based on a record review of 838 tuberculosis patients enrolled in six health facilities, presents, and discusses a machine learning approach to explore the individual risk factors predictive of tuberculosis treatment non-adherence in the Mukono district, Uganda. Five classification machine learning algorithms, logistic regression (LR), artificial neural networks (ANN), support vector machines (SVM), random forest (RF), and AdaBoost were trained, and evaluated by computing their accuracy, F1 score, precision, recall, and the area under the receiver operating curve (AUC) through the aid of a confusion matrix. Of the five developed and evaluated algorithms, SVM (91.28%) had the highest accuracy (AdaBoost, 91.05% performed better than SVM when AUC is considered as evaluation parameter). Looking at all five evaluation parameters globally, AdaBoost is quite on par with SVM. Individual risk factors predictive of non-adherence included tuberculosis type, GeneXpert results, sub-country, antiretroviral status, contacts below 5 years, health facility ownership, sputum test results at 2 months, treatment supporter, cotrimoxazole preventive therapy (CPT) dapsone status, risk group, patient age, gender, middle and upper arm circumference, referral, positive sputum test at 5 and 6 months. Therefore, machine learning techniques, specifically classification types, can identify patient factors predictive of treatment non-adherence and accurately differentiate between adherent and non-adherent patients. Thus, tuberculosis program management should consider adopting the classification machine learning techniques evaluated in this study as a screening tool for identifying and targeting suited interventions to these patients.

Geographic mobility and treatment outcomes among people in care for tuberculosis in the Lake Victoria region of East Africa: A multi-site prospective cohort study

Geographic mobility may disrupt continuity of care and contribute to poor clinical outcomes among people receiving treatment for tuberculosis (TB). This may occur especially where health services are not well coordinated across international borders, particularly in lower and middle income country settings. In this work, we describe mobility and the relationship between mobility and unfavorable TB treatment outcomes (i.e., death, loss to follow-up, or treatment failure) among a cohort of adults who initiated TB treatment at one of 12 health facilities near Lake Victoria. We abstracted data from health facility records for all 776 adults initiating TB treatment during a 6-month period at the selected facilities in Kenya, Tanzania, and Uganda. We interviewed 301 cohort members to assess overnight travel outside one's residential district/sub-county. In our analyses, we estimated the proportion of cohort members traveling in 2 and 6 months following initiation of TB treatment, explored correlates of mobility, and examined the association between mobility and an unfavorable TB treatment outcome. We estimated that 40.7% (95% CI: 33.3%, 49.6%) of people on treatment for TB traveled overnight at least once in the 6 months following treatment initiation. Mobility was more common among people who worked in the fishing industry and among those with extra-pulmonary TB. Mobility was not strongly associated with other characteristics examined, however, suggesting that efforts to improve TB care for mobile populations should be broad ranging. We found that in this cohort, people who were mobile were not at increased risk of an unfavorable TB treatment outcome. Findings from this study can help inform development and implementation of mobility-competent health services for people with TB in East Africa.

Leukotriene A4 hydrolase (LTA4H rs17525495) gene polymorphisms and paradoxical reactions in extrapulmonary tuberculosis

Paradoxical reactions (PRs) are poorly studied complex immunological phenomena, among patients with tuberculosis (TB). When PRs involves critical structures like the central nervous system (CNS), immunomodulatory therapy is often required. Predictors for PRs in TB to pre-empt appropriate treatment strategies in high-risk groups are lacking. TT genotype of Leukotriene A4 hydrolase (LTA4H) promoter region rs17525495 polymorphisms are associated with exaggerated immune responses in Tuberculous meningitis (TBM), the most severe form of extrapulmonary tuberculosis (EPTB). The association of these polymorphisms with PRs is not known. We evaluated this plausibility among 113 patients with EPTB, at high risk of PRs. Majority [81 (71.7%)] had disseminated tuberculosis with prominent CNS [54 (47.8%)] and lymph node involvement [47 (41.6%)]. Human immunodeficiency Virus (HIV) co-infection was seen among 23 (20.3%) patients. PRs were noted in 38.9% patients, at a median duration of 3 months (IQR 2-4). LTA4H rs17525495 single nucleotide polymorphism (SNP) analysis showed 52 (46%) patients had CC, 43 (38.1%) had CT and 18 (15.9%) had TT genotypes. There was no statistically significant difference in occurrence [CC 38.5% vs CT 39.5% vs TT 38.7%] and time of onset [median (IQR)] of PRs across the genotypes [CC 3 (1-4.7), CT 3 (2-5), TT 2 (2-3)]. PRs was shown to be significantly linked with HIV co-infection (RR 0.6, 95% CI 0.29-1.28), culture positivity (RR 0.5, 95% CI 0.28-1.14), TB Lymphadenitis (RR 0.7, 95% CI 0.44-1.19) and CNS involvement RR 2.1, 95% CI 1.27-3.49) in the univariate analysis (p < 0.2). On multivariate analysis, CNS involvement alone was associated with PRs (aRR 3.8 (1.38-10.92); p < 0.01). PRs were associated with CNS involvement but not with LTA4H rs17525495 polymorphisms.

FACTORS CONTRIBUTING TO PULMONARY TB TREATMENT LOST TO FOLLOW-UP IN DEVELOPING COUNTRIES: AN OVERVIEW

Background

Despite the available treatment options, pulmonary tuberculosis (TB) remains a leading cause of disease-related deaths worldwide. Treatment non-adherence/lost to follow-up (LTFU), particularly in developing countries, is a continuous concern. LTFU prolongs TB infectiousness and contributes to TB treatment failure, relapse, and death. Furthermore, LTFU also delays global TB eradication by promoting TB spread and drug-resistant TB strain development.[1] The purpose of this paper is to give an overview of the commonly observed risk factors associated with TB treatment LTFU in developing countries.

Materials and Methods

A literature survey was done of studies published in the past decade, which evaluated the risk factors for LTFU in TB patients, specifically in developing countries. Furthermore, some prospective TB treatment adherence initiatives and the feasibility of these initiatives within developing countries were assessed.[3].

Results

Several variables, including socio-demographic, patient-related, TB disease and other health-related-factors, healthcare and system determinants, as well as treatment-related factors, were identified to increase the risk of TB treatment LTFU. More recently applied adherence interventions in developing countries, show potential for implementation on a larger scale.

Conclusion

Successful TB treatment is contingent on treatment adherence, and by addressing these persisting LTFU risk factors, treatment adherence in developing countries may be improved.

TB treatment non-adherence in São Tomé and Príncipe

SETTING

Sao Tomé and Principe (STP) is a lower middle-income country in the Gulf of Guinea that has a persistent high loss of TB patients on treatment.

OBJECTIVE

To investigate factors associated with patient loss to follow-up (LTFU) and to assess health worker perceptions on non-adherence.

DESIGN

A retrospective cohort study was conducted using data from the national database. Factors associated with LTFU were investigated using univariable and multivariable logistic regression. In-depth interviews were conducted with TB health workers to identify perceived barriers for treatment completion.

RESULTS

A total of 822 registered patients with drug-susceptible TB were included, of whom 82 (10.0%) were lost to follow-up. Male sex (adjusted OR [aOR] 1.7, 95% CI 1.0-3.0; P = 0.048), as well as living in the Mé-Zóchi and Caué Districts (aOR 2.60, 95% CI 1.58-4.26; P < 0.001) were associated with an increased odds of LTFU. The main barriers to treatment completion were related to lack of food, stigma, and lack of patient information and personal support.

CONCLUSION

The study indicates the need to address multiple issues related to LTFU during TB treatment. Enhanced efforts to personalise care, especially for information, nutrition and encouragement will better support patients in STP.

Design, development, and testing of a voice-text mobile health application to support Tuberculosis medication adherence in Uganda

Background

Tuberculosis (TB) continues to persist with a high disease burden globally. Non-adherence to treatment remains a major problem to TB control. In Uganda, one in every four TB patients does not adhere to their TB medication. The purpose of this study was to design, develop and assess implementation of a voice-text-based mobile application to support TB patients’ adherence to medication.

Methods

Design science research methodology (DSRM) was utilized to develop a voice-text-based mobile health application. Agile software methodology was used to achieve steps of DSRM that are; design and development. Focus group discussions (FGDs) and Key informant interviews (KIIs) were conducted and data analysed using thematic content analysis.

Results

During problem identification, Stigma, transport costs, being asymptomatic, drug side effects, lack of family support were identified as challenges affecting adherence. Technologies identified and used for the development of the voice-text application included; extensible mark-up language (XML) File, Apache server, Ubuntu Server, Hypertext Pre-processor, and jQuery. In the pilot study, 27 voice messages were broadcasted, 85.2% were delivered, 103 text messages were sent and 92.2% were delivered to the intended recipients.

Conclusions

Voice-text message mobile health application can be used to reach a wider patient population and it has the capability of addressing some of the challenges affecting TB medication adherence.

Patients' perceptions and experiences of directly observed therapy for TB

AIM

To understand patients' perceptions and experiences of directly observed therapy (DOT) for tuberculosis treatment in the UK.

METHOD

Patients receiving DOT as part of their TB treatment participated in semi-structured and audio-recorded interviews. Data were analysed using a framework approach.

RESULTS

Non-adherence was driven by socio-cultural, mental health, employment and discrimination factors. Patients valued DOT for its support and social connection but those in employment feared it could lead to disclosure and social discredit.

CONCLUSION

TB patients experience social isolation and fear discrimination. DOT offers a degree of social connection and support for marginalised patients but fails to tackle fundamental barriers to adherence such as mental health issues, addictions, housing and discrimination. Practice implications: Flexible patient-centred methods of DOT should be offered throughout patients' treatment. Research into multi-agency responsibility for promoting adherence needs to be commissioned, implemented and evaluated. Telemedicine and nurse-led clinics may improve access to care and improve patient experience.

Addressing bedaquiline treatment interruptions in the treatment of drug-resistant TB

SETTING: The recommended dosing regimen for bedaquiline (BDQ), consisting of a 2-week loading phase (400 mg/day), followed by a maintenance phase (200 mg three times/week), might pose challenges when treatment is interrupted and needs to be reinitiated. Guidance on BDQ treatment re-initiation is, therefore, needed.OBJECTIVE: This pharmacokinetic-based simulation study aimed to provide recommendations for re-initiating BDQ following treatment interruptions.DESIGN: Simulations of treatment interruptions, defined as any time a patient misses ≥2 consecutive BDQ doses for up to 56 consecutive days (2 months), were assessed using the BDQ population-pharmacokinetic model.RESULTS: Any treatment interruption lasting ≤28 days prior to completing the 14-day loading phase can be managed by completing the remaining loading doses. Scenarios when it is sufficient to simply restart maintenance dosing are discussed. In some scenarios, treatment interruptions require reloading for 1 week prior to restarting maintenance dosing.CONCLUSIONS: This simulation study provided recommendations for managing BDQ treatment interruptions and underscores the importance of having a robust population-pharmacokinetic model for TB drugs to inform clinical guidance. Such recommendations are valuable to help ensure optimal treatment with BDQ for treating multidrug-resistant TB.

Appraisal on patient compliance and factors influencing the daily regimen of anti-tubercular drugs in Mangalore city: A cross-sectional study

Background: Globally, India is the country with the highest tuberculosis (TB) burden with respect to the number of new cases occurring each year. Annual incident cases of TB in India accounts for more than 25% of total TB morbidity and mortality worldwide. Several factors have been associated with the adherence of TB medication, which can be broadly classified as patient/personal, social, structural and health service. The aims of the present study were to determine the compliance to daily regimen of directly observed treatment, short-course (DOTS) therapy among TB patients registered at the Tuberculosis Unit (TU) of Mangalore and to identify the factors influencing non-compliance for treatment. Methods: A cross sectional study was performed. The study sample was drawn from the TUs, General Hospital, Mangalore, after taking permission from District TB Officer. The names and addresses of TB patients were collected from treatment cards. The TB patients were approached at their homes/DOTS centers/Primary Health Centre's (PHCs) with the help of senior treatment supervisors. Results: It was found that patients positive for human immunodeficiency virus (HIV) were more likely to be non-adherent, which was statistically significant. Amongst the participants, 66 (33%) were diabetic and 28.8% of them were found to be non-adherent. The proportion of non-adherence was 27 times higher in those with poor patient provider relationships. Patients who reported to have side effects of TB medication were 5.23 times more likely to be non-adherent. Conclusions: Advice on routine consultation with the health care facility, adherence to treatment regimen and education about its benefits should be the prime focus of providing health education to all TB patients, both at the individual and community levels.

Appraisal on patient compliance and factors influencing the daily regimen of anti-tubercular drugs in Mangalore city: A cross-sectional study

Background: Globally, India is the country with the highest tuberculosis (TB) burden with respect to the number of new cases occurring each year. Annual incident cases of TB in India accounts for more than 25% of total TB morbidity and mortality worldwide. Several factors have been associated with the adherence of TB medication, which can be broadly classified as patient/personal, social, structural and health service. The aims of the present study were to determine the compliance to daily regimen of directly observed treatment, short-course (DOTS) therapy among TB patients registered at the Tuberculosis Unit (TU) of Mangalore and to identify the factors influencing non-compliance for treatment. Methods: A cross sectional study was performed. The study sample was drawn from the TUs, General Hospital, Mangalore, after taking permission from District TB Officer. The names and addresses of TB patients were collected from treatment cards. The TB patients were approached at their homes/DOTS centers/Primary Health Centre's (PHCs) with the help of senior treatment supervisors. Results: It was found that patients positive for human immunodeficiency virus (HIV) were more likely to be non-adherent, which was statistically significant. Amongst the participants, 66 (33%) were diabetic and 28.8% of them were found to be non-adherent. The proportion of non-adherence was 27 times higher in those with poor patient provider relationships. Patients who reported to have side effects of TB medication were 5.23 times more likely to be non-adherent. Conclusions: Advice on routine consultation with the health care facility, adherence to treatment regimen and education about its benefits should be the prime focus of providing health education to all TB patients, both at the individual and community levels.

Time Trend Analysis of Tuberculosis Treatment While Using Digital Adherence Technologies-An Individual Patient Data Meta-Analysis of Eleven Projects across Ten High Tuberculosis-Burden Countries

Worldwide, non-adherence to tuberculosis (TB) treatment is problematic. Digital adherence technologies (DATs) offer a person-centered approach to support and monitor treatment. We explored adherence over time while using DATs. We conducted a meta-analysis on anonymized longitudinal adherence data for drug-susceptible (DS) TB (n = 4515) and drug-resistant (DR) TB (n = 473) populations from 11 DAT projects. Using Tobit regression, we assessed adherence for six months of treatment across sex, age, project enrolment phase, DAT-type, health care facility (HCF), and project. We found that DATs recorded high levels of adherence throughout treatment: 80% to 71% of DS-TB patients had ≥90% adherence in month 1 and 6, respectively, and 73% to 75% for DR-TB patients. Adherence increased between month 1 and 2 (DS-TB and DR-TB populations), then decreased (DS-TB). Males displayed lower adherence and steeper decreases than females (DS-TB). DS-TB patients aged 15−34 years compared to those >50 years displayed steeper decreases. Adherence was correlated within HCFs and differed between projects. TB treatment adherence decreased over time and differed between subgroups, suggesting that over time, some patients are at risk for non-adherence. The real-time monitoring of medication adherence using DATs provides opportunities for health care workers to identify patients who need greater levels of adherence support.

Poor adult tuberculosis treatment outcome and associated factors in Gibe Woreda, Southern Ethiopia: An institution-based cross-sectional study

Tuberculosis (TB) remains a major medical and public health problem throughout the world, especially in developing countries including Ethiopia. Its control program is currently being challenged by the spread of drug-resistant TB, which is the result of poor treatment outcomes. Hence, this study assessed poor adult TB treatment outcomes and associated factors in Gibe Woreda, Southern Ethiopia. An institution-based cross-sectional study was conducted from March 1, 2020 to March 30, 2020, using a standard checklist to review clinical charts of TB patients who enrolled on first-line TB treatment under DOTS between June 2016 and June 2019. Poor treatment outcomes constituted death during treatment, treatment failure, and loss to follow-up (LTFU). Descriptive statistics were used to describe the characteristics of study participants. A binary logistic regression model was fitted to identify factors influencing treatment outcome and adjusted odds ratios with a 95% confidence interval were reported. The statistical significance of all tests in this study was declared at P-value <5%. A total of 400 adult TB patients were participated. The mean age of study participants was 39.2±16.7 years, 55.5% were males and 79.8% were pulmonary tuberculosis cases. Regarding the treatment outcomes, 58% completed treatment, 27.5% cured, 9.3% were LTFU, 3.2% died, and 2.0% failed. The overall poor treatment outcome was 14.5% (95% CI: 11.1-17.9). Age (aOR = 1.02; 95%CI: 1.01-1.04), male gender (aOR = 1.82; 95% CI: 0.99-3.73), travel ≥ 10 kilometres to receive TB treatment (aOR = 6.55; 95% CI: 3.02-14.19), and lack of family support during the course of treatment (aOR = 3.03; 95% CI: 1.37-6.70), and bedridden baseline functional status (aOR = 4.40; 95% CI: 0.96-20.06) were factors associated with poor treatment outcome. Successful TB treatment outcome in this study area was below the national TB treatment success rate. To improve positive treatment outcomes, remote areas should be prioritized for TB interventions, and stakeholders in TB treatment and care should give special emphasis to adults over the age of 45 years, males, those who travel more than 10 kilometres to receive TB care, having bedridden baseline functional status and those who had no family support.

[Abandonment of tuberculosis treatment in Brazil, 2012-2018: trend and spatiotemporal distribution]

Ecological study that analyzes the trend and the spatiotemporal distribution of new cases of tuberculosis (TB) that abandoned treatment in Brazil, notified in the Notifiable Diseases Information System, in the period from 2012 to 2018. For the study of the trend used the Prais-Winsten generalized linear regression model was used and the Moran Global and Local indices for spatial analysis. The mean and median proportion of TB treatment dropout in Brazil was 10.4%. The highest averages of the indicator were concentrated in the Southeast (10.78 ± 1.38), South (10.70 ± 2.94) and North (10.35 ± 1.13), and; in the states of Rondônia (14.35 ± 2.34), Rio Grande do Sul (13.60 ± 4.23) and Rio de Janeiro (12.64 ± 1.73), only Acre and Piauí showed this indicator below 5%. In Brazil, there was a tendency towards stability in the proportion of abandonment of TB treatment, a decrease in the North, Northeast and South regions and only in the Federal District there was growth. There was a heterogeneous and non-random distribution, with five capitals comprising the High-Risk cluster. We conclude that the proportion of TB treatment abandonment in Brazil is above what is acceptable and that the identification of high-risk areas can contribute to the elaboration and strengthening of more specific control actions.

Factors predicting self-report adherence (SRA) behaviours among DS-TB patients under the "Integrated model": a survey in Southwest China

BACKGROUND

China is one of 30 countries with a high tuberculosis (TB) burden, and poor adherence to TB treatment is one of the biggest challenges for TB control. We aimed to explore the barriers and facilitators of treatment adherence among drug-sensitive tuberculosis (DS-TB) patients under the "Integrated model" in Western China, to provide evidence-based treatment and control regimens for DS-TB patients to improve adherence behaviours.

METHODS

Both qualitative and quantitative research methods were used to explore the factors associated with self-reported adherence (SRA) behaviours. Questionnaire surveys with DS-TB patients and in-depth interviews with leaders from the Centers for Disease Control and Prevention (CDC) and community health sectors (CHCs), healthcare workers (HCWs) from CHCs, and DS-TB patients were conducted.

RESULTS

A total of 459 eligible patients were included in the quantitative survey, and two patients and 13 healthcare providers were included in the in-depth interviews. The percentage of patients who experienced a missed dose, lack of follow-up sputum examination, and interrupted treatment were 19.0%, 11.3%, and 9.2%, respectively. Patients aged 20-39 had a higher risk of missed dose [OR (95% CI): 2.302 (1.001-5.305)] and a lower risk of interrupted treatment [OR (95% CI): 0.278 (0.077-0.982)] than patients more than 60 years. Patients who were of Han ethnicity (OR [95% CI]: 0.524 [0.301-0.912]) received psychological support (OR [95% CI]: 0.379 [0.144-0.998]) from their family and had a lower risk of missed doses. Patients who had drug side effects had a higher risk of interrupted treatment (OR [95% CI]: 2.587 [1.237-5.412]). Patients who possessed higher knowledge had a lower risk of lack of follow-up sputum examination [OR (95% CI): 0.817 (0.673-0.991)]. The results of the qualitative study also reported that patients' poor TB knowledge was the main reason for their non-SRA behaviours.

CONCLUSIONS

Patient-centred strategies should be implemented to improve health literacy and strengthen psychological support. More effective case management should be designed and implemented based on different patient characteristics to improve adherence behaviours in further studies.

Protocol of a parallel group Randomized Control Trial (RCT) for Mobile-assisted Medication Adherence Support (Ma-MAS) intervention among Tuberculosis patients

BACKGROUND

Non-adherence to Tuberculosis (TB) medication is a serious threat to TB prevention and control programs, especially in resource-limited settings. The growth of the popularity of mobile phones provides opportunities to address non-adherence, by facilitating direct communication more frequently between healthcare providers and patients through SMS texts and voice phone calls. However, the existing evidence is inconsistent about the effect of SMS interventions on TB treatment adherence. Such interventions are also seldom developed based on appropriate theoretical foundations. Therefore, there is a reason to approach this problem more rigorously, by developing the intervention systematically with evidence-based theory and conducting the trial with strong measurement methods.

METHODS

This study is a single-blind parallel-group design individual randomized control trial. A total of 186 participants (93 per group) will be individually randomized into one of the two groups with a 1:1 allocation ratio by a computer-generated algorithm. Group one (intervention) participants will receive daily SMS texts and weekly phone calls concerning their daily medication intake and medication refill clinic visit reminder and group two (control) participants will receive the same routine standard treatment care as the intervention group, but no SMS text and phone calls. All participants will be followed for two months of home-based self-administered medication during the continuation phases of the standard treatment period. Urine test for the presence of isoniazid (INH) drug metabolites in urine will be undertaken at the random point at the fourth and eighth weeks of intervention to measure medication adherence. Medication adherence will also be assessed by self-report measurements using the AIDS Clinical Trial Group adherence (ACTG) and Visual Analogue Scales (VAS) questionnaires, and clinic appointment attendance registration. Multivariable regression model analysis will be employed to assess the effect of the Ma-MAS intervention at a significance level of P-value < 0.05 with a 95% confidence interval.

DISCUSSION

For this trial, a mobile-assisted medication adherence intervention will first be developed systematically based on the Medical Research Council framework using appropriate behavioural theory and evidence. The trial will then evaluate the effect of SMS texts and phone calls on TB medication adherence. Evidence generated from this trial will be highly valuable for policymakers, program managers, and healthcare providers working in Ethiopia and beyond.

TRIAL REGISTRATION

The trial is registered in the Pan-Africa Clinical Trials Registry with trial number PACTR202002831201865.

Determinants of tuberculosis treatment interruption among patients in Vihiga County, Kenya

BACKGROUND

Despite robust Tuberculosis (TB) program with effective chemotherapy and high coverage, treatment interruption remains a serious problem. Interrupting TB treatment means that patients remain infectious for longer time and are at risk of developing drug resistance and death. This study was conducted to identify and describe predictors of TB treatment interruption.

METHODS

A cohort of 291 notified TB patients from 20 selected health facilities in Vihiga County were enrolled in to the study and followed up until the end of treatment. Patient characteristics that potentially predict treatment interruption were recorded during treatment initiation using structured questionnaires. Patients who interrupted treatment were traced and reasons for stoppage of treatment recorded. Kaplan Meier method was used to estimate probabilities of treatment interruption by patient characteristics and determine time intervals. The Log rank test for the equality of survival distributions analyzed significance of survival differences among categorical variables. For multivariable analysis, Cox proportional hazard model, was fitted to identify predictors of TB treatment interruption through calculation of hazard ratios with 95% Confidence Intervals (CIs). For variable analysis, statistical significance was set at P ≤ 0.05. Reasons for treatment interruption were categorized according to most recurrent behavioral or experiential characteristics.

RESULTS

Participants' median age was 40 years (IQR = 32-53) and 72% were male. Of the 291 patients, 11% (n = 32) interrupted treatment. Incidences of treatment interruption significantly occurred during intensive phase of treatment. Independent predictors of treatment interruption included alcohol consumption (HR = 9.2, 95% CI; 2.6-32.5, p < 0.001), being female (HR = 5.01, 95% CI; 1.68-15.0, p = 0.004), having primary or lower education level (HR = 3.09, 95% CI; 1.13-8.49, p < 0.029) and having a treatment supporter (HR = 0.33, 95% CI; 0.14-0.76, p = 0.009). Reasons for interrupting treatment were categorized as: alcoholism, feeling better after treatment initiation, associated TB stigma, long distance to health facility, lack of food, perception of not having TB and pill burden.

CONCLUSION

TB treatment interruption was high and largely associated with patients' socio-demographic and behavioral characteristics. These multidimensional factors suggest the need for interventions that not only target individual patients but also environment in which they live and receive healthcare services.

Determinants of adherence to anti-TB treatment and associated factors among adult TB patients in Gondar city administration, Northwest, Ethiopia: based on health belief model perspective

BACKGROUND

Adherence is crucial in treating Tuberculosis to achieve the required treatment success rate. However, due to the longer treatment duration, adherence to Tuberculosis treatment is the most challenging factor affecting Tuberculosis control. Furthermore, although several studies have reported the determinants of Tuberculosis treatment adherence, few of them have used Health Belief Model (HBM) as the guiding principle to determine the individual perception of health-related decisions as much or more than medical concerns with Tuberculosis treatment adherence. Therefore, this study aims to assess adherence to anti-Tuberculosis treatment and associated factors among adult Tuberculosis patients in Gondar city, Northwest Ethiopia, in 2020.

METHODS

Institution-based cross-sectional study was conducted among Tuberculosis patients following anti-Tuberculosis treatment in Gondar city health facilities from February 20 to March 26, 2020. A total of 265 Tuberculosis patients were selected by systematic random sampling techniques that include patients who were on treatment follow up for ≥ 1 month and whose age is ≥ 18 years. Data were collected by trained data collectors using interviewer administer and structured questionnaires. EPI DATA version 4.2 was used for data entry and SPSS version 24 for analysis. The logistic regression model was used to indicate the association between independent variables with adherence to anti Tuberculosis treatment.

RESULTS

The overall rate of adherence to anti-Tuberculosis treatment was 90.6% within the last 4 weeks and 96.6% within the last 4 days. Multivariable analysis revealed that having treatment supporter [AOR = 3.51, 95% CI (1.15, 10.75)], difficulties in taking TB drugs regularly [AOR = 0.07, 95% CI (0.01, 0.31)], perceived benefit [AOR = 3.45, 95% CI (1.07, 11.08)] and perceived self-efficacy [AOR = 0.22, 95% CI (0.07, 0.63)] were independently associated with adherence to anti-Tuberculosis treatment.

CONCLUSION

The treatment adherence rate of the patients was low in the last month before the data survey. Treatment supporters, difficulties in taking anti Tuberculosis drugs regularly, perceived benefit, and perceived self-efficacy were identified as affecting adherence to anti-TB treatment.

Adherence to TB treatment remains low during continuation phase among adult patients in Northwest Ethiopia

BACKGROUND

Patients' failure to adhere to TB treatment was a major challenge that leads to poor treatment outcomes. In Ethiopia, TB treatment success was low as compared with the global threshold. Despite various studies done in TB treatment adherence, little was known specifically in continuation phase where TB treatment is mainly patient-centered. This study aimed to determine adherence to TB treatment and its determinants among adult patients during continuation phase.

METHODS

We deployed a facility-based cross-sectional study design supplemented with qualitative data to explore perspectives of focal healthcare providers. The study population was all adult (≥18 years) TB patients enrolled in the continuation phase and focal healthcare workers in TB clinics. The study included 307 TB patients from 22 health facilities and nine TB focal healthcare providers purposively selected as key-informant. A short (11 questions) version Adherence to Refill and Medication Scale (ARMS) was used for measuring adherence. Data was collected using an interviewer-administered questionnaire and in-depth interview for qualitative data. Binary logistic regression was applied to identify factors associated with patient adherence. We followed a thematic analysis for the qualitative data. The audio data was transcribed, coded and categorized into themes using OpenCode software.

RESULTS

Among 307 participants, 64.2% (95% CI (58.6-69.4%) were adherent to TB treatment during continuation phase. A multi-variable analysis shown that secondary education (AOR = 4.138, 95% CI; 1.594-10.74); good provider-patient relationship (AOR = 1.863, 95% CI; 1.014-3.423); good knowledge on TB treatment (AOR = 1.845, 95% CI; 1.012-3.362) and middle family wealth (AOR = 2.646, 95% CI; 1.360-5.148) were significantly associated with adherence to TB treatment. The majority (58%) of patients mentioned forgetfulness, and followed by 17.3% of them traveling away from home without pills as major reasons for non-adherence to TB treatment.

CONCLUSIONS

The study indicated that patients' adherence to TB treatment remains low during continuation phase. The patient's education level, knowledge, family wealth, and provider-patient relationship were found positively associated with patient adherence. Forgetfulness, traveling away, and feeling sick were major reasons for non-adherence to TB treatment. Interventional studies are needed on those factors to improve patient adherence to TB treatment during continuation phase.

Substance use disorders and adherence to antituberculosis medications in Southwest Ethiopia: a prospective cohort study

OBJECTIVES

In Ethiopia, little is known about the association between substance use disorders and adherence to antituberculosis (anti-TB) medications. Therefore, the objective of this study was to assess the effect of substance use disorders on adherence to anti-TB medications in Southwest Ethiopia.

DESIGN

Prospective cohort study.

SETTINGS

Patients were recruited from 22 health centres and four hospitals in Southwest Ethiopia.

PARTICIPANTS

This study was conducted among 268 patients with TB, aged 18-80 in Southwest Ethiopia between October 2017 and October 2018. At baseline, patients who were exposed substance use disorders (134 patients) and unexposed to substance use disorders (134 patients) were recruited. Patients were followed for 6 months, and data were collected on three occasions.

MAIN OUTCOME MEASURE

Adherence to anti-TB medications.

RESULTS

Patients with substance use disorders had consistently higher prevalence of non-adherence than those without, 16.4% versus 3.0% at baseline, 41.7% versus 14.4% at 2-month follow-up and 45.7% versus 10.8% at 6-month follow-up assessments. Patients with khat use disorder were 3.8 times more likely to be non-adherent to anti-TB medications than patients without khat use disorder (Adjusted odds ratio (aOR)=3.8, 95% CI 1.8 to 8.0). Patients who had alcohol use disorder (AUD) were also 3.2 times likely to have poor adherence compared with their counterparts (aOR=3.2, 95% CI 1.6 to 6.6). In addition, being educated (aOR=4.4, 95% CI 1.7 to 11.3), and being merchant (aOR=6.1, 95% CI 1.2 to 30.8) were associated with non-adherence to anti-TB medications.

CONCLUSION

Khat and AUDs predict greater likelihood of non-adherence to anti-TB medication. This implies the need to integrate the management for substance use disorders into the existing TB treatment services.

Something Old, Something New: Ion Channel Blockers as Potential Anti-Tuberculosis Agents

Tuberculosis (TB) remains a challenging global health concern and claims more than a million lives every year. We lack an effective vaccine and understanding of what constitutes protective immunity against TB to inform rational vaccine design. Moreover, treatment of TB requires prolonged use of multi-drug regimens and is complicated by problems of compliance and drug resistance. While most Mycobacterium tuberculosis (Mtb) bacilli are quickly killed by the drugs, the prolonged course of treatment is required to clear persistent drug-tolerant subpopulations. Mtb’s differential sensitivity to drugs is, at least in part, determined by the interaction between the bacilli and different host macrophage populations. Therefore, to design better treatment regimens for TB, we need to understand and modulate the heterogeneity and divergent responses that Mtb bacilli exhibit within macrophages. However, developing drugs de-novo is a long and expensive process. An alternative approach to expedite the development of new TB treatments is to repurpose existing drugs that were developed for other therapeutic purposes if they also possess anti-tuberculosis activity. There is growing interest in the use of immune modulators to supplement current anti-TB drugs by enhancing the host’s antimycobacterial responses. Ion channel blocking agents are among the most promising of the host-directed therapeutics. Some ion channel blockers also interfere with the activity of mycobacterial efflux pumps. In this review, we discuss some of the ion channel blockers that have shown promise as potential anti-TB agents.

Prevalence and associated factors of psychological distress in tuberculosis patients in Northeast China: a cross-sectional study

Background

Psychological distress, a major comorbidities of tuberculosis (TB) patients, has posed a serious threat to the progress being made in global TB programs by affecting treatment adherence and health outcomes. However, the magnitude and associated factors of psychological distress have not been fully studied in China. The aim of the current study was to assess the prevalence of psychological distress in TB patients and to further determine the effects of socio-demographic characteristics, health-related variables, substance use status, social support, and experienced stigma on psychological distress.

Methods

A cross-sectional survey was conducted among TB patients attending three medical institutions in Dalian, Liaoning Province, Northeast China from November 2020 to March 2021. A structured questionnaire was developed to collect data on patients’ socio-demographic characteristics, health-related information, substance use status, psychological distress, family function, doctor-patient relationship, policy support, experienced stigma and so on. The binary logistics regression model was used to determine the associated factors of psychological distress.

Results

A total of 473 TB patients were enrolled in this study, and the prevalence of psychological distress was 64.1%. Binary logistic regression analysis revealed that patients with a middle school education level or above (OR: 0.521, 95%CI: 0.279–0.974), no adverse drug reactions (OR: 0.476, 95%CI: 0.268–0.846), and regular physical exercise (OR: 0.528, 95%CI: 0.281–0.993) were more likely to stay away from psychological distress. However, patients who had a high economic burden (OR: 1.697, 95%CI: 1.014–2.840), diabetes (OR: 2.165, 95%CI: 1.025–4.573), self-rated illness severe (OR: 3.169, 95%CI: 1.081–9.285), perceived poor resistance (OR: 2.065, 95%CI: 1.118–3.815), severe family dysfunction (OR: 4.001, 95%CI: 1.158–13.823), perceived need for strengthen psychological counseling (OR: 4.837, 95%CI: 2.833–8.258), and a high experienced stigma (OR: 3.253, 95%CI: 1.966–5.384) tended to have a psychological distress.

Conclusions

The study found that the proportion of psychological distress among TB patients was high in Northeast China, and it was influenced by a variety of factors. Effective interventions to reduce psychological distress in TB patients urgently need to be developed, and greater attention should be given to patients with risk factors.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12879-021-06284-4.

Strategies to Improve Antimicrobial Utilization with a Special Focus on Developing Countries

Antimicrobial resistance (AMR) is a high priority across countries as it increases morbidity, mortality and costs. Concerns with AMR have resulted in multiple initiatives internationally, nationally and regionally to enhance appropriate antibiotic utilization across sectors to reduce AMR, with the overuse of antibiotics exacerbated by the COVID-19 pandemic. Effectively tackling AMR is crucial for all countries. Principally a narrative review of ongoing activities across sectors was undertaken to improve antimicrobial use and address issues with vaccines including COVID-19. Point prevalence surveys have been successful in hospitals to identify areas for quality improvement programs, principally centering on antimicrobial stewardship programs. These include reducing prolonged antibiotic use to prevent surgical site infections. Multiple activities centering on education have been successful in reducing inappropriate prescribing and dispensing of antimicrobials in ambulatory care for essentially viral infections such as acute respiratory infections. It is imperative to develop new quality indicators for ambulatory care given current concerns, and instigate programs with clear public health messaging to reduce misinformation, essential for pandemics. Regular access to effective treatments is needed to reduce resistance to treatments for HIV, malaria and tuberculosis. Key stakeholder groups can instigate multiple initiatives to reduce AMR. These need to be followed up.

Effect of a phone reminder system on patient-centered tuberculosis treatment adherence among adults in Northwest Ethiopia: a randomised controlled trial

OBJECTIVES

This study aimed to evaluate the effect of the phone reminder system on patient-centred TB treatment adherence during continuation phase, where patients are responsible for taking medication at home.

METHODS

We conducted a two-arm randomised controlled trial on adult patients with TB during the continuation phase. In the intervention arm, patients received routine care plus phone-based weekly pill refilling and daily medication reminders. In the control arm, participants received only routine care. A covariate adaptive randomisation technique was used to balance covariates during allocation. The primary outcome was adherence to patient-centred TB treatment, and secondary outcomes included provider-patient relationship and treatment outcomes. We applied per-protocol and intention-to-treat analysis techniques.

RESULTS

We randomised 306 patients to intervention (n=152) and control (n=154) groups. Adherence to patient-centred TB treatment was 79% (110/139) in intervention and 66.4% (95/143) in control groups, with relative risk (RR) (95% lower CI) (RR=1.632 (1.162 to ∞); p=0.018, one tailed). Good provider-patient relationship was 73.3% (102/139) in intervention group and 52.4% (75/143) in control group, p=0.0001. TB treatment success was 89.5% (136/152) in intervention group and 85.1% (131/154) in control group, p=0.1238.

CONCLUSIONS

Mobile phone-based weekly refilling with daily medication reminder system improved adherence to patient-centred TB treatment and provider-patient relationship; however, there was no significant effect on treatment success.

TRIAL REGISTRATION NUMBER

Pan African Clinical Trials Registry (PACTR201901552202539).

Recent Progress and Challenges for Drug-Resistant Tuberculosis Treatment

Control of Mycobacterium tuberculosis infection continues to be an issue, particularly in countries with a high tuberculosis (TB) burden in the tropical and sub-tropical regions. The effort to reduce the catastrophic cost of TB with the WHO’s End TB Strategy in 2035 is still obstructed by the emergence of drug-resistant TB (DR-TB) cases as result of various mutations of the MTB strain. In the approach to combat DR-TB, several potential antitubercular agents were discovered as inhibitors for various existing and novel targets. Host-directed therapy and immunotherapy also gained attention as the drug-susceptibility level of the pathogen can be reduced due to the pathogen’s evolutionary dynamics. This review is focused on the current progress and challenges in DR-TB treatment. We briefly summarized antitubercular compounds that are under development and trials for both DR-TB drug candidates and host-directed therapy. We also highlighted several problems in DR-TB diagnosis, the treatment regimen, and drug discovery that have an impact on treatment adherence and treatment failure.

Factors influencing TB treatment interruption and treatment outcomes among patients in Kiambu County, 2016-2019

Tuberculosis (TB) is the leading cause of mortality as a single infectious agent globally with increasing numbers of case notification in developing countries. This study seeks to investigate the clinical and socio-demographic factors of time to TB treatment interruption among Tuberculosis patients in Kiambu County, 2016–2019. We retrospectively analyzed data for all treatment outcomes patients obtained from TB tracing form linked with the Tuberculosis Information Basic Unit (TIBU) of patients in Kiambu County health facilities using time to treatment interruption as the main outcome. Categorical variables were presented using frequency and percentages. Kaplan-Meir curve was used to analyze probabilities of time to treatment interruptions between intensive and continuation phases. Log-rank test statistics was used to compare the equality of the curves. Cox proportion model was used to determine determinants of treatment interruption. A total of 292 participants were included in this study. Males were 68%, with majority (35%) of the participants were aged 24–35 years; 5.8% were aged 0–14 years and 5.1% aged above 55 years. The overall treatment success rate was 66.8% (cured, 34.6%; completed 32.2%), 60.3% were on intensive phase of treatment. Lack of knowledge and relocation were the major reasons of treatment interruptions. Patients on intensive phase were 1.58 times likely to interrupt treatment compared to those on continuation phase (aHR: 1.581; 95%CI: 1.232–2.031). There is need to develop TB interventions that target men and middle aged population in order to reduce treatment interruption and increase the treatment success rates in the County and Country.

Prevalence and factors associated with non-adherence to multi-drug resistant tuberculosis (MDR-TB) treatment at Mulago National Referral Hospital, Kampala, Uganda

Background

In Uganda, 12% of previously treated TB cases and 1.6% of new cases have MDR-TB and require specialized treatment and care. Adherence is crucial for improving MDR-TB treatment outcomes. There is paucity of information on the extent to which these patients adhere to treatment and what the drivers of non-adherence are.

Methods

We conducted a cohort study using retrospectively collected routine program data for patients treated for MDR-TB between January 2012 – May 2016 at Mulago Hospital. We extracted anonymized data on non-adherence (missing 10% or more of DOT), socio-economic, demographic, and treatment characteristics of the patients. All participants were sensitive to MDR-TB drugs after second line Drug Susceptible Testing (DST) at entry into the study. Factors associated with non-adherence to MDR-TB treatment were determined using generalized linear models for the binomial family with log link and robust standard errors. We considered a p- value less than 0.05 as statistically significant.

Results

The records of 227 MDR- TB patients met the inclusion criteria, 39.4% of whom were female, 32.6% aged between 25 – 34 years, and 54.6% living with HIV/AIDS. About 11.9% of the patients were non-adherent. The main driver for non-adherence was history of previous DR-TB treatment; previously treated DR-TB patients were 3.46 (Adjusted prevalence ratio: 3.46, 95 % CI: 1.68 – 7.14) times more likely to be non-adherent.

Conclusion

One in 10 MDR-TB patients treated at Mulago hospital is non-adherent to treatment. History of previous DRTB treatment was significantly associated with non-adherence in this study. MDR-TB program should strengthen adherence counselling, strengthen DST surveillance, and close monitoring for previously treated DR-TB patients.

Nonadherence to tuberculosis treatment and associated factors among patients using directly observed treatment short-course in north-west Nigeria: A cross-sectional study

INTRODUCTION

Tuberculosis is a public health problem in Nigeria. One of the most effective ways of controlling tuberculosis is the directly observed treatment short-course. However, some factors influence tuberculosis patients' treatment nonadherence via directly observed treatment short-course. The study objective was to assess medication nonadherence and associated factors among tuberculosis patients in north-west Nigeria.

METHODS

A cross-sectional study enrolled tuberculosis patients using directly observed treatment short-course in public health facilities in Kano and Kaduna States from January 2015 to June 2016. The sample selection was conducted via a multistage sampling procedure. Data were collected using tuberculosis patients' demographic and clinical characteristics forms, well-validated structured instruments, and medical records. SPSS version 20 was used for data analysis. Logistic and multivariable logistic regression analyses to determine factors of medication nonadherence (P < 0.05).

RESULTS

Complete responses from 390 patients out of the 460 patients recruited for the study were used for data analyses. The mean age was 51.5 (standard deviation = ±13.8) years. The mean tuberculosis medication adherence questionnaire score was 4.35 ± 1.12. The prevalence of nonadherence to tuberculosis medication was 30.5%. Multivariable logistic regression analysis showed that having a monthly income between #100,000 and #199, 000 (adjusted odds ratio = 0.01; 95% confidence interval: 0.00-0.13), being widowed (adjusted odds ratio = 26.74, 95% confidence interval: 2.92-232.9), being married (adjusted odds ratio = 120.49, 95% confidence interval: 5.38-271.1), having a distance <5 km to directly observed treatment short-course center from home (adjusted odds ratio = 0.06, 95% confidence interval: 0.00-0.01), having a tuberculosis/HIV co-infection (adjusted odds ratio = 0.01, 95% confidence interval: 0.12-0.35), use of antiretroviral treatment and cotrimoxazole prophylaxis therapy medications (adjusted odds ratio = 24.9, 95% confidence interval: 19.6-304.3) were associated with tuberculosis medication nonadherence.

CONCLUSION

Tuberculosis medication nonadherence was high among the patients. Thus, patient-specific adherence education, attenuation of potential factors for tuberculosis medication nonadherence, and continual resource support for tuberculosis patients are needed to improve treatment outcomes.

Quality of life and associated factors among patients with tuberculosis at the University of Gondar comprehensive specialized hospital, Ethiopia

PURPOSE

Clinical outcomes have failed to capture the impact of tuberculosis (TB) on patients; consequently, a comprehensive measure is required. This study's objective was to determine the level of quality of life (QOL) and associated factors among patients with TB at the University of Gondar comprehensive specialized hospital, TB clinic.

METHODS

A cross-sectional study was conducted from April to June 2019. A total of 400 patients were selected. The world health organization quality-of-life (WHOQOL-Bref) questionnaire was used to measure QOL. Linear regression analysis was done to investigate potential predictors, and variables with a P value of <0.05 were considered statistically significant.

RESULTS

The participants had a mean age of 38.04 ± 13.53 years; the percentage of patients with pulmonary TB (PTB) was 52.71% and 57.36% were male. The QOL scores for physical, psychological, social and environmental domains were 43.54 ± 10.18, 46.67 ± 7.93, 39.79 ± 15.30 and 41.22 ± 12.90, respectively. PTB was associated with physical, psychological, social, and environmental domains (B = -3.99, P value <0.001), (B = -2.03, P value = 0.027), (B = -4.44, P value = 0.008), and (B = -2.83, P value = 0.029), individually; likewise, drug adherence was associated with physical (B = -10.36), psychological (B = -4.48), social (B = -14.46), and environmental (B = -8.44) domains at a P value <0.001. Education (B = 2.39, P value = 0.018), and co-morbidity (B = -4.28, P value = 0.023) were associated with the psychological domain. Finally, occupation was significantly associated with the environmental domain (B = -4.53, P value = 0.008).

CONCLUSION

This study revealed that the QOL of patients was relatively low compared to that of other studies. Notably, social domains were affected more than other domains. Non-adherence and PTB were negatively associated with all domains. Therefore, health professionals should emphasize patients' drug adherence.

The Current Landscape of Novel Formulations and the Role of Mathematical Modeling in Their Development

Drug delivery is an integral part of the drug development process, influencing safety and efficacy of active pharmaceutical ingredients. The application of nanotechnology has enabled the discovery of novel formulations for numerous therapeutic purposes across multiple disease areas. However, evaluation of novel formulations in clinical scenarios is slow and hampered due to various ethical and logistical barriers. Computational models have the ability to integrate existing domain knowledge and mathematical correlations, to rationalize the feasibility of using novel formulations for safely enhancing drug delivery, identifying suitable candidates, and reducing the burden on preclinical and clinical studies. In this review, types of novel formulations and their application through several routes of administration and the use of modeling approaches that can find application in different stages of the novel formulation development process are discussed.

A structured Markov chain model to investigate the effects of pre-exposure vaccines in tuberculosis control

In this paper, the interest is in a structured Markov chain model to describe the transmission dynamics of tuberculosis (TB) in the setting of small communities of hosts sharing confined spaces, and to explore the potential impact of new pre-exposure vaccines on reducing the number of new TB cases during an outbreak of the disease. The model under consideration incorporates endogenous reactivation of latent tubercle bacilli, exogenous reinfection of latently infected TB hosts, loss of effectiveness of the vaccine protection, and death of hosts due to tubercle bacilli and from causes beyond TB. Various probabilistic measures are defined and analytically studied to describe extreme values and the number of vaccinations during an outbreak, and a random version of the basic reproduction number is used to measure the transmission potential during the initial phase of the epidemic. Our numerical experiments allow us to compare different pre-exposure vaccines versus the level of coverage in terms of these probabilistic measures.

The effects of family, society and national policy support on treatment adherence among newly diagnosed tuberculosis patients: a cross-sectional study

Background

Non-adherence to tuberculosis (TB) treatment is the most important cause of poor TB outcomes, and improving support for TB patients is a primary priority for governments, but there has been little research on the effects of family, social and national policy support factors on TB treatment adherence. The current study evaluated treatment adherence among newly diagnosed TB patients in Dalian, north-eastern China, and determined the effects of family, society, and national policy support factors on treatment adherence.

Methods

A cross-sectional survey was conducted among newly diagnosed TB patients treated at the outpatient department of Dalian Tuberculosis Hospital from September 2019 to January 2020. Data were collected using a questionnaire that measured medication adherence, family support, social support, and national policy support and so on. Differences between groups were assessed using Chi-square tests and Fisher’s exact tests. Ordinal logistic regression analysis was used to determine the predictors of adherence.

Results

A total of 481 newly diagnosed TB patients were recruited, of whom 45.7% had good adherence, and 27.4 and 26.8% had moderate and low adherence, respectively. Patients who had family members who frequently supervised medication (OR:0.34, 95% CI:0.16–0.70), family members who often provided spiritual encouragement (OR:0.13, 95% CI:0.02–0.72), a good doctor-patient relationship (OR:0.61, 95% CI:0.40–0.93), more TB-related knowledge (OR:0.49, 95% CI:0.33–0.72) and a high need for TB treatment policy support (OR:0.38, 95% CI:0.22–0.66) had satisfactory medication adherence. However, patients who had a college degree or higher (OR:1.69, 95% CI:1.04–2.74) and who suffered adverse drug reactions (OR:1.45, 95% CI:1.00–2.11) were more likely to have lower adherence.

Conclusions

Our findings suggested that non-adherence was high in newly diagnosed TB patients. Patients who had family members who frequently supervised medication and provided spiritual encouragement and a good doctor-patient relationship and TB-related knowledge and a high need for policy support contributed to high adherence. It is recommended to strengthen medical staff training and patient and family health education and to increase financial support for improving adherence.

Factors Influencing Patient Adherence to Tuberculosis Treatment in Ethiopia: A Literature Review

Background: Tuberculosis (TB) is a major global public health problem and one of the leading causes of death among infectious diseases. Although TB can be cured with first-line antibiotics treatment of 6 months regimen, non-adherence to the treatment remains the main challenge for TB prevention and control. Interventions to promote adherence need to address multiple underlying factors linked to non-adherence, which requires a synthesis of studies to understand these factors in the local context. Our review accordingly examines these factors for TB treatment in Ethiopia. Methods: Articles were searched from PubMed and ScienceDirect databases, as well as manual searches through Google and Google Scholar search engines. Both quantitative and qualitative studies that showed factors associated with or reasons for non-adherence, default or loss to follow up from TB treatment were included. A total of 276 articles were screened, and 29 articles were ultimately included in the review. Findings: The extracted factors were synthesized thematically into seven dimensions of patient-centred, social, economic, health system, therapy, lifestyle, and geographic access factors. More than 20 distinct factors were identified under these headings. Some of these factors may also apply quite widely in other settings, with greater or lesser influence, but some are particularly applicable to the Ethiopian setting. Conclusion: Helping patients to achieve full adherence to TB medication is a complex problem as it is influenced by interplay between many factors. Healthcare managers, providers, and researchers need to consider and address multiple underlying factors when designing adherence interventions. This work provides a reference set of such factors for Ethiopian interventions.

Magnitude and predictors of khat use among patients with tuberculosis in Southwest Ethiopia: A longitudinal study

INTRODUCTION

Tuberculosis (TB) is a leading cause of morbidity and mortality in low and middle-income countries. Substance use negatively affects TB treatment outcomes. Our recent study has found that khat use predicted poorer adherence to anti-TB medications. However, there is scarce longitudinal study on predictors of khat use among outpatients with TB, and this study aimed at addressing this research gap.

METHODS

From October 2017 to October 2018, 268 outpatients with tuberculosis on DOTs were enrolled in a longitudinal study from 26 health institutions in Southwest Ethiopia. Structured questionnaires translated into local languages (Afaan Oromoo and Amharic) were used to assess khat use. Patients were followed for six months, and data were collected on three occasions during the follow-up. A generalized linear mixed model was used to identify the relation between khat use and predictors. Model fitness was checked using the Bayesian Information Criterion (BIC). Odds ratio (OR) and 95% CI were used to describe the strength of association between the outcome variable and predictors.

RESULTS

The overall prevalence of khat use at baseline and first follow up was 39.2% while it was 37.3% at second follow up. Of this, 77.1% and 96.2% of them believed that khat use reduces the side effects of anti-TB medications and symptoms of tuberculosis respectively. In the final model, being male (aOR = 7.0, p-value = 0.001), being government employee (aOR = 0.03, p-value≤0.001) and presence of alcohol use disorders (AUD) (aOR = 2.0, p-value≤0.001) predicted khat use among outpatients with tuberculosis.

CONCLUSION

A considerable proportion of patients with TB used khat throughout DOTs and wrongly perceived that it had health benefits. The finding implies that all patients diagnosed with TB should be screened for khat use, and a particular emphasis should be given to males and individuals with a history of alcohol use. Moreover, further studies are needed to assess patients' beliefs regarding the benefits of khat use so that interventions can be developed.

Inhibiting Histone Deacetylases in Human Macrophages Promotes Glycolysis, IL-1β, and T Helper Cell Responses to Mycobacterium tuberculosis

Tuberculosis (TB) is the leading infectious killer in the world. Mycobacterium tuberculosis (Mtb), the bacteria that causes the disease, is phagocytosed by alveolar macrophages (AM) and infiltrating monocyte-derived macrophages (MDM) in the lung. Infected macrophages then upregulate effector functions through epigenetic modifications to make DNA accessible for transcription. The metabolic switch to glycolysis and the production of proinflammatory cytokines are key effector functions, governed by epigenetic changes, that are integral to the ability of the macrophage to mount an effective immune response against Mtb. We hypothesised that suberanilohydroxamic acid (SAHA), an FDA-approved histone deacetylase inhibitor (HDACi), can modulate epigenetic changes upstream of the metabolic switch and support immune responses during Mtb infection. The rate of glycolysis in human MDM, infected with Mtb and treated with SAHA, was tracked in real time on the Seahorse XFe24 Analyzer. SAHA promoted glycolysis early in the response to Mtb. This was associated with significantly increased production of IL-1β and significantly reduced IL-10 in human MDM and AM. Since innate immune function directs downstream adaptive immune responses, we used SAHA-treated Mtb-infected AM or MDM in a co-culture system to stimulate T cells. Mtb-infected macrophages that had previously been treated with SAHA promoted IFN-γ, GM-CSF, and TNF co-production in responding T helper cells but did not affect cytotoxic T cells. These results indicate that SAHA promoted the early switch to glycolysis, increased IL-1β, and reduced IL-10 production in human macrophages infected with Mtb. Moreover, the elevated proinflammatory function of SAHA-treated macrophages resulted in enhanced T helper cell cytokine polyfunctionality. These data provide an in vitro proof-of-concept for the use of HDACi to modulate human immunometabolic processes in macrophages to promote innate and subsequent adaptive proinflammatory responses.

Video directly observed therapy for supporting and monitoring adherence to tuberculosis treatment in Uganda: a pilot cohort study

Introduction

Nonadherence to treatment remains an obstacle to tuberculosis (TB) control worldwide. The aim of this study was to evaluate the feasibility of using video directly observed therapy (VDOT) for supporting TB treatment adherence in Uganda.

Methods

From May to December 2018, we conducted a pilot cohort study at a TB clinic in Kampala City. We enrolled patients aged 18–65 years with ≥3 months remaining of their TB treatment. Participants were trained to use a smartphone app to record videos of medication intake and submit them to a secured system. Trained health workers logged into the system to watch the submitted videos. The primary outcome was adherence measured as the fraction of expected doses observed (FEDO). In a secondary analysis, we examined differences in FEDO by sex, age, phone ownership, duration of follow-up, reasons for missed videos and patients' satisfaction at study exit.

Results

Of 52 patients enrolled, 50 were analysed. 28 (56%) were male, the mean age was 31 years (range 19–50 years) and 35 (70%) owned smartphones. Of the 5150 videos expected, 4231 (82.2%) were received. The median FEDO was 85% (interquartile range 66%–94%) and this significantly differed by follow-up duration. Phone malfunction, uncharged battery and VDOT app malfunctions were the commonest reasons for missed videos. 92% of patients reported being very satisfied with using VDOT.

Conclusion

VDOT was feasible and acceptable for monitoring and supporting TB treatment. It resulted in high levels of adherence, suggesting that digital technology holds promise in improving patient monitoring in Uganda.

Video directly observed therapy is feasible and acceptable for supporting and monitoring TB treatment adherence in a low-resource setting like Uganda. Digital health interventions hold promise as alternative methods for improving patient care.http://bit.ly/2Hxnvwu