Electronic pillbox-enabled self-administered therapy versus standard directly observed therapy for tuberculosis medication adherence and treatment outcomes in Ethiopia (SELFTB): protocol for a multicenter randomized controlled trial

Digital Health Interventions to Enhance Tuberculosis Treatment Adherence: Scoping Review

Background

Digital health technologies are widely used for disease management, with their computing platforms, software, and sensors being used for health care. These technologies are developed to manage chronic diseases and infectious bacterial diseases, including tuberculosis (TB).

Objective

This study aims to comprehensively review the literature on the use of digital health interventions (DHIs) for enhancing TB treatment adherence and identify major strategies for their adoption.

Methods

We conducted a literature search in the PubMed, Cochrane Library, Ovid Embase, and Scopus databases for relevant studies published between January 2012 and March 2022. Studies that focused on web-based or mobile phone-based interventions, medication adherence, digital health, randomized controlled trials, digital interventions, or mobile health and ubiquitous health technology for TB treatment and related health outcomes were included.

Results

We identified 27 relevant studies and classified them according to the intervention method, a significant difference in treatment success, and health outcomes. The following interventions were emphasized: SMS text messaging interventions (8/27, 30%), medicine reminders (6/27, 22%), and web-based direct observation therapy (9/27, 33%). Digital health technology significantly promoted disease management among individuals and health care professionals. However, only a few studies addressed 2-way communication therapies, such as interactive SMS text messaging and feedback systems.

Conclusions

This scoping review classified studies on DHIs for patients with TB and demonstrated their potential for the self-management of TB. DHIs are still being developed, and evidence on the impact of digital technologies on enhancing TB treatment adherence remains limited. However, it is necessary to encourage patients' participation in TB treatment and self-management through bidirectional communication. We emphasize the importance of developing a communication system.

Digital health in the era of COVID-19: Reshaping the next generation of healthcare

COVID-19 is one of the most deadly diseases to have stricken us in recent decades. In the fight against this disease, governments and stakeholders require all the assistance they can get from various systems, including digital health interventions. Digital health technologies are supporting the tracking of the COVID-19 outbreak, diagnosing patients, expediting the process of finding potential medicines and vaccines, and disinfecting the environment, The establishment of electronic medical and health records, computerized clinical decision support systems, telemedicine, and mobile health have shown the potential to strengthen the healthcare system. Recently, these technologies have aided the health sector in a variety of ways, including prevention, early diagnosis, treatment adherence, medication safety, care coordination, documentation, data management, outbreak tracking, and pandemic surveillance. On the other hand, implementation of such technologies has questions of cost, compatibility with existing systems, disruption in patient-provider interactions, and sustainability, calling for more evidence on clinical utility and economic evaluations to help shape the next generation of healthcare. This paper argues how digital health interventions assist in the fight against COVID-19 and their opportunities, implications, and limitations.

Patient-reported usability and satisfaction with electronic medication event reminder and monitor device for tuberculosis: a multicentre, randomised controlled trial

Background

The success of a tuberculosis digital adherence technology relies on patients' satisfaction with and the usability of the technology. This study aimed to evaluate treatment satisfaction and usability of a digital medication event reminder and monitor (MERM) device for patients with tuberculosis to address the prespecified secondary endpoint of the SELFTB trial.

Methods

In this multicenter, randomised controlled trial, adults (≥18 years) with new or previously treated, bacteriologically-confirmed, drug-sensitive pulmonary tuberculosis who were eligible to start anti-tuberculosis therapy were recruited from 10 healthcare facilities in Ethiopia. With a computer-generated random number sequence, participants were randomly assigned 1:1 to receive a 15-day tuberculosis medication supply dispensed with an evriMED500® MERM device to self-administer and return every 15 days or the standard in-person DOT. Both arms were followed throughout the standard two-month intensive treatment phase. Treatment was based on the WHO-recommended two-month fixed-dose-combination of first-line anti-tuberculosis drug delivered as a single daily dose (2RHZE). Treatment Satisfaction Questionnaire for Medication version 4 (TSQM 1.4©) was used to measure and compare treatment satisfaction between arms. Adapted System Usability Scale (SUS) was used to assess the usability of the device, with emphasis on ease of use, challenges, benefits, motivation, popularity, and recommendation. The findings were correlated with adherence and clinical endpoints including sputum smear conversion and IsoScreen urine isoniazid test results. This trial is registered with ClinicalTrials.gov, NCT04216420.

Findings

Between June 2, 2020, and June 15, 2021, 337 patients were screened for eligibility, of whom 109 participants enrolled and completed the satisfaction [control (n = 57) and intervention (n = 52) arms] and usability [intervention arm (n = 52)] questionnaires. TSQM 1.4© geometric mean scores were: Effectiveness 73.25 [geometric standard deviation (GSD) 1.28], Side Effects 100, Convenience 63.31 (GSD 1.45), and Global Satisfaction 77.29 (GSD 1.25). TSQM score was significantly higher in the intervention vs the control: Effectiveness [85.78 vs 63.43, 95% CI 1.35 (1.26-1.45), p < 0.001], Convenience [85.41 vs 48.18, 95% CI 1.77 (1.63-1.93), p < 0.001], and Global Satisfaction [90.19 vs 67.11, 95% CI 1.34 (1.26-1.43), p < 0.001]. There were significant associations between Global Satisfaction and medication adherence (p = 0.017). Average SUS score was 97.45%, which was close to the best imaginable SUS value of 100%. Likelihood to Recommend (LTR) value was ≥9, on a scale of 0-10, for 90.4% of MERM users, yielding higher net promoters. There was no significant association between usability and medication adherence (p = 0.691).

Interpretation

Our findings suggested that treatment satisfaction scores were superior in the intervention vs control arms and across the domains of Effectiveness, Convenience, and Global Satisfaction. There was excellent usability of the MERM device and a significantly higher number of users likely to promote the device. High tuberculosis burden countries may transform patient-centered care through ongoing evaluation and scale-up of digital health innovations.

Funding

U.S. National Institute of Health (NIH) Fogarty International Center and National Institute of Allergy and Infectious Diseases (D43 TW009127) and the Emory Center for AIDS Research (P30 AI050409).

Tuberculosis Monitoring Encouragement Adherence Drive (TMEAD): Toward improving the adherence of the patients with drug-sensitive tuberculosis in Nashik, Maharashtra

Introduction

Adherence to tuberculosis (TB) medication is one of the critical challenges to tuberculosis elimination in India. Digital adherence technologies (DAT) have the potential to facilitate medication adherence and monitor it remotely. Tuberculosis Monitoring Encouragement Adherence Drive (TMEAD) is one such DAT piloted in Nasik, Maharashtra, from April 2020 to December 2021. The study aims to assess the adherence and cost-effectiveness of TMEAD compared to the standard of care among patients with drug-sensitive tuberculosis (DSTB) residing in the urban areas of Nasik, Maharashtra, India.

Methods

A quasi-experimental study was conducted among new cases of TB as per the National TB Elimination Programme (NTEP) residing in the urban geography of Nasik. The intervention and control arms were purposively selected from non-contaminating TB units (TUs). A total of 400 DSTB patients (200 in the intervention group and 200 in the control group) were enrolled. After enrolment, patients in the intervention arm were provided with the TMEAD device and followed for 24 weeks to assess treatment outcomes. Adherence was measured as those patients who have completed 80% of prescribed doses, as reported during patient follow-up, and further validated by analyzing the trace of rifampicin in urine among 20% of patients from both arms. A budget impact analysis was done to assess the impact of the TMEAD program on the overall state health budget.

Results

Out of 400 enrolled DSTB patients, 261 patients completed treatment, 108 patients were on treatment, 15 patients died, and 16 patients were defaulters over the study period. The study reported overall treatment adherence of 94% among those who completed treatment. Patient reports indicated high levels of treatment adherence in the intervention group (99%) as compared to the control group (90%). Adherence assessed through analyzing trace of rifampicin in the urine sample for the intervention arm was 84% compared to the control arm (80%). Per beneficiary (discounted) cost for TMEAD was Indian rupees (INR) 6,573 (USD 83). The incremental cost-effectiveness ratio of the intervention is INR 11,599 (USD 146), which shows that the intervention is highly cost-effective.

Conclusion

This study revealed that patient-reported treatment adherence was high in TMEAD when compared to standard therapy of care for DSTB patients and the intervention is cost-effective. TMEAD could complement the national strategy to end TB by improving adherence to the treatment regimen in India.

Bioethical Implications of Vulnerability and Politics for Healthcare in Ethiopia and The Ways Forward

Vulnerability and politics are among the relevant and key topics of discussion in the Ethiopian healthcare context. Attempts by the formal bioethics structure in Ethiopia to deliberate on ethical issues relating to vulnerability and politics in healthcare have been limited, even though the informal analysis of bioethical issues has been present in traditional Ethiopian communities. This is reflected in religion, social values, and local moral underpinnings. Thus, the aim of this paper is to discuss the bioethical implications of vulnerability and politics for healthcare in Ethiopia and to suggest possible ways forward. First, we will briefly introduce what has been done to develop bioethics as a field in Ethiopia and what gaps remain concerning its implementation in healthcare practice. This will give a context for our second and main task - analyzing the healthcare challenges in relation to vulnerability and politics and discussing their bioethical implications. In doing so, and since these two concepts are intrinsically broad, we demarcate their scope by focusing on specific issues such as poverty, gender, health governance, and armed conflicts. Lastly, we provide suggestions for the ways forward.

Effectiveness of a digital medication event reminder and monitor device for patients with tuberculosis (SELFTB): a multicenter randomized controlled trial

BACKGROUND

Tuberculosis remains the leading cause of death from a single infectious disease worldwide. Trials evaluating digital adherence technologies for tuberculosis in low- and middle-income countries are urgently needed. We aimed to assess whether a digital medication event reminder and monitor (MERM) device-observed self-administered therapy improves adherence and treatment outcomes in patients with tuberculosis compared with the standard in-person directly observed therapy (DOT).

METHODS

We did a two-arm, attention-controlled, effectiveness-implementation type 2 hybrid, randomized controlled trial in ten healthcare facilities in Addis Ababa, Ethiopia. We included adults with new or previously treated, bacteriologically confirmed, drug-sensitive pulmonary tuberculosis who were eligible to start anti-tuberculosis therapy. Participants were randomly assigned (1:1) to receive a 15-day tuberculosis medication supply in the evriMED500® MERM device to self-administer and return every 15 days (intervention arm) or visit the healthcare facilities each day to swallow their daily dose with DOT by healthcare providers (control arm). Both arms were followed throughout the standard two-month intensive treatment phase (2RHZE). For control participants, some provider-approved take-home doses might be allowed for extenuating circumstances in real-world practice. Data were collected on patient information (demographic, socioeconomic, behavioral, social, and clinical information), medication adherence measures (MERM vs. DOT records, IsoScreenTM urine colorimetric isoniazid test, and adherence self-report), and clinical measures (pre-post treatment sputum Xpert MTB/RIF assay or microscopy, and adverse treatment outcomes). The intention-to-treat (ITT) primary endpoints were (1) individual-level percentage adherence over the two-month intensive phase measured by adherence records compiled from MERM device vs. DOT records that also considered all take-home doses as having been ingested and (2) sputum smear conversion following the standard two-month intensive phase treatment. Secondary endpoints were (1) individual-level percentage adherence over the two-month intensive phase measured by adherence records compiled from the MERM device vs. DOT records that considered all take-home doses as not ingested, (2) negative IsoScreen urine isoniazid test, (3) adverse treatment outcome (having at least one of the three events: treatment not completed; death; or loss to follow-up), and (4) self-reported adherence. The MERM device has an electronic module and a medication container that records adherence, stores medication, emits audible and visual on-board alarms to remind patients to take their medications on time and refill, and enables providers to download the data and monitor adherence.

RESULTS

Participants were enrolled into the study between 02 June 2020 and 15 June 2021, with the last participant completing follow-up on 15 August 2021. A total of 337 patients were screened for eligibility, of whom 114 were randomly assigned and included in the final analysis [57 control and 57 intervention participants]. Participants were 64.9% male, 15% with HIV, 10.5% retreatment, and 5.3% homeless. Adherence to TB medication was comparable between the intervention arm [geometric mean percentage (GM%) 99.01%, geometric standard deviation (GSD) 1.02] and the control arm [GM% 98.97%, GSD 1.04] and was within the prespecified margin for non-inferiority [mean ratio (MR) 1.00 (95% CI 0.99-1.01); p = 0.954]. The intervention arm was significantly superior to the control arm in the secondary analysis that considered all take-home doses in the control were not ingested [control GM% 77.71 (GSD 1.57), MR 1.27 (95% CI 1.33-1.43)]. Urine isoniazid testing was done on 443 (97%) samples from 114 participants; 13 participants had at least one negative result; a negative test was significantly more common among the control group compared with the intervention group [11/57 (19.3%) vs 2/57 (3.5%); p = 0.008]. There was no significant difference between the control and intervention arms for smear conversion [55 (98.2%) vs 52 (100%); p>0.999], adverse treatment outcomes [0 vs 1 (1.9%); p = 0.48], and self-report non-adherence [5 (8.9%) vs 1 (1.9%); p = 0.21].

CONCLUSIONS

In this randomized trial of patients with drug-sensitive pulmonary tuberculosis, medication adherence among participants assigned to MERM-observed self-administered therapy was non-inferior and superior by some measures when compared with the standard in-person DOT. Further research is needed to understand whether adherence in the intervention is primarily driven by allowing self-administered therapy which reduced challenges of repeated clinic visits or by the adherence support provided by the MERM system. To avoid contributing to patient barriers with DOT, tuberculosis medical programs should consider alternatives such as medication event monitors.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT04216420.

Effect of Digital Medication Event Reminder and Monitor-Observed Therapy vs Standard Directly Observed Therapy on Health-Related Quality of Life and Catastrophic Costs in Patients With Tuberculosis: A Secondary Analysis of a Randomized Clinical Trial

Importance

Little is known about whether digital adherence technologies are economical for patients with tuberculosis (TB) in resource-constrained settings.

Objective

To test the hypothesis that for patients with TB, a digital medication event reminder monitor (MERM)-observed therapy provides higher health-related quality of life (HRQoL) and lower catastrophic costs compared with standard directly observed therapy (DOT).

Design, Setting, and Participants

This study was a secondary analysis of a randomized, 2-arm, open-label trial conducted in 10 health care facilities in Ethiopia. Eligible participants were adults with new or previously treated, bacteriologically confirmed, drug-sensitive pulmonary TB who were eligible to start first-line anti-TB therapy. Participants were enrolled between June 2, 2020, and June 15, 2021, with the last participant completing follow-up on August 15, 2021.

Interventions

Participants were randomly assigned (1:1) to receive a 15-day TB medication supply dispensed with a MERM device to self-administer and return every 15 days (intervention arm) or the standard in-person DOT (control arm). Both groups were observed throughout the standard 2-month intensive treatment phase.

Main Outcomes and Measures

Prespecified secondary end points of the original trial were HRQoL using the EuroQoL 5-dimension 5-level (EQ-5D-5L) tool and catastrophic costs, direct (out-of-pocket) and indirect (guardian and coping) costs from the individual patient perspective using the World Health Organization's Tool to Estimate Patient Costs, and common factors associated with lower HRQoL and higher catastrophic costs.

Results

Among 337 patients screened for eligibility, 114 were randomly assigned, and 109 were included in the final complete-case intention-to-treat analysis (57 control and 52 intervention participants). The mean (SD) age was 33.1 (11.1) years; 72 participants (66.1%) were men, and 15 (13.9%) had HIV coinfection. EQ-5D-5L overall median (IQR) index value was 0.964 (0.907-1). The median (IQR) value was significantly higher in intervention (1 [0.974-1]) vs control (.908 [0.891-0.964]) (P < .001). EQ-5D-5L minimum and maximum health state utility values in intervention were 0.906 and 1 vs 0.832 and 1 in control. Patients' overall median (IQR) postdiagnosis cost was Ethiopian birr (ETB) 80 (ETB 16-ETB 480) (US $1.53). The median cost was significantly lower in intervention (ETB 24 [ETB 16-ETB 48]) vs control (ETB 432 [ETB 210-ETB 1980]) (P < .001), with median possible cost savings of ETB 336 (ETB 156-ETB 1339) (US $6.44) vs the control arm. Overall, 42 participants (38.5%; 95% CI, 29.4%-48.3%) faced catastrophic costs, and this was significantly lower in the intervention group (11 participants [21.2%]; 95% CI, 11.1%-34.7%) vs control (31 participants [54.4%]; 95% CI, 40.7%-67.6%) (P < .001). Trial arm was the single most important factor in low HRQoL (adjusted risk ratio [ARR], 1.49; 95% CI, 1.35-1.65; P < .001), while trial arm (ARR, 2.55; 95% CI, 1.58-4.13; P < .001), occupation (ARR, 2.58; 95% CI, 1.68-3.97; P < .001), number of cohabitants (ARR, 0.64; 95% CI, 0.43-0.95; P = .03), and smoking (ARR, 2.71; 95% CI, 1.01-7.28; P = .048) were the most important factors in catastrophic cost.

Conclusions and Relevance

In patients with TB, MERM-observed therapy was associated with higher HRQoL and lower catastrophic costs compared with standard DOT. Patient-centered digital health technologies could have the potential overcoming structural barriers to anti-TB therapy.

Trial Registration

ClinicalTrials.gov Identifier: NCT04216420.

Prevalence of cryptococcal meningitis among people living with human immuno-deficiency virus and predictors of mortality in adults on induction therapy in Africa: A systematic review and meta-analysis

Background

Cryptococcal meningitis (CM) is a leading cause of adult meningitis in countries with a high burden of HIV. It has remained a significant cause of morbidity and mortality in Africa despite the extensive rollout of HIV antiretroviral therapy (ART). This study aimed to systematically synthesize the evidence on the prevalence of CM among people living with HIV (PLWH) and its predictors of mortality among adults who are on induction antifungal therapy in Africa.

Methods

PubMed/MEDLINE, Embase, and Google Scholar were searched for randomized clinical trials or observational studies published in Africa from 1995 to April 2021. Pooled prevalence of CM among PLWH was calculated using R-studio Version 1.4.1717 software and the data extracted from eligible studies were pooled as percentage with a 95% confidence interval (CI). Predictors of mortality among adults on induction antifungal therapy were synthesized narratively.

Results

Out of 364 studies identified, 17 eligible articles were included in the analysis. The prevalence of CM among PLWH in Africa was 5.11% (95% CI 2.71-9.43%; participants = 10,813; studies = 9; I 2 = 97%). In the subgroup analysis, the prevalence was 12.9% (95% CI 4.883-30.0; participants = 533; studies = 3; I 2 = 63%) in the years 1995-2010 and 3.18% (95% CI 1.54-6.45; participants = 10,280; studies = 6; I 2 = 98%) in the years 2011-2021, with the prevalence significantly decreased by 51% (p = 0.02). Predictors of mortality were fluconazole monotherapy, focal neurological signs, low Glasgow coma scale, and delayed diagnosis of CM at varied timepoint.

Conclusion

Prevalence of CM has significantly decreased from 1996-2010 to 2011-2021 among PLWH on induction therapy in Africa. Fluconazole monotherapy, focal neurological symptoms, diastolic blood pressure < 60 mmHg, and concurrent tuberculosis coinfection were significant predictors of mortality at 2- and 10-weeks timepoints. CM remains a major concern among PLWH despite increases in ART coverage. Improved access to effective antifungal therapies is needed in Africa for timely initiation of combination induction therapy and better treatment outcomes of PLWH.

Systematic review registration

[https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=254113], identifier [CRD42021254113].

Technologies for Medication Adherence Monitoring and Technology Assessment Criteria: Narrative Review

BACKGROUND

Accurate measurement and monitoring of patient medication adherence is a global challenge because of the absence of gold standard methods for adherence measurement. Recent attention has been directed toward the adoption of technologies for medication adherence monitoring, as they provide the opportunity for continuous tracking of individual medication adherence behavior. However, current medication adherence monitoring technologies vary according to their technical features and data capture methods, leading to differences in their respective advantages and limitations. Overall, appropriate criteria to guide the assessment of medication adherence monitoring technologies for optimal adoption and use are lacking.

OBJECTIVE

This study aims to provide a narrative review of current medication adherence monitoring technologies and propose a set of technology assessment criteria to support technology development and adoption.

METHODS

A literature search was conducted on PubMed, Scopus, CINAHL, and ProQuest Technology Collection (2010-present) using the combination of keywords medication adherence, measurement technology, and monitoring technology. The selection focused on studies related to medication adherence monitoring technology and its development and use. The technological features, data capture methods, and potential advantages and limitations of the identified technology applications were extracted. Methods for using data for adherence monitoring were also identified. Common recurring elements were synthesized as potential technology assessment criteria.

RESULTS

Of the 3865 articles retrieved, 98 (2.54%) were included in the final review, which reported a variety of technology applications for monitoring medication adherence, including electronic pill bottles or boxes, ingestible sensors, electronic medication management systems, blister pack technology, patient self-report technology, video-based technology, and motion sensor technology. Technical features varied by technology type, with common expectations for using these technologies to accurately monitor medication adherence and increase adoption in patients' daily lives owing to their unobtrusiveness and convenience of use. Most technologies were able to provide real-time monitoring of medication-taking behaviors but relied on proxy measures of medication adherence. Successful implementation of these technologies in clinical settings has rarely been reported. In all, 28 technology assessment criteria were identified and organized into the following five categories: development information, technology features, adherence to data collection and management, feasibility and implementation, and acceptability and usability.

CONCLUSIONS

This narrative review summarizes the technical features, data capture methods, and various advantages and limitations of medication adherence monitoring technology reported in the literature and the proposed criteria for assessing medication adherence monitoring technologies. This collection of assessment criteria can be a useful tool to guide the development and selection of relevant technologies, facilitating the optimal adoption and effective use of technology to improve medication adherence outcomes. Future studies are needed to further validate the medication adherence monitoring technology assessment criteria and construct an appropriate technology assessment framework.

Validity of InterVA model versus physician review of verbal autopsy for tracking tuberculosis-related mortality in Ethiopia

BACKGROUND

In most African countries where a legitimate vital registration system is lacking, physicians often review verbal autopsy (VA) data to determine the cause of death, while there are concerns about the routine practicality, accuracy, and reliability of this procedure. In Ethiopia where the burden of tuberculosis (TB) remains unacceptably high, reliable VA data are needed to guide intervention strategies. This study aimed to validate the InterVA model against the physician VA in tracking TB-related mortality in Ethiopia.

METHODS

From a sample of deaths in Addis Ababa, Ethiopia, VAs were conducted on TB-related mortality, physician-certified verbal autopsy (PCVA) through multiple steps to ascertain the causes of death. InterVA model was used to interpret the causes of death. Estimates of TB-related deaths between physician reviews and the InterVA model were compared using Cohen's Kappa (k), Receiver-operator characteristic (ROC) curve analysis, sensitivity, and specificity to compare agreement between PCVA and InterVA.

RESULTS

A total of 8952 completed PCVA were used. The InterVA model had an optimal likelihood cut-off point sensitivity of 0.64 (95% CI: 59.0-69.0) and specificity of 0.95 (95% CI: 94.9-95.8). The area under the ROC curve was 0.79 (95% CI: 0.78-0.81). The level of agreement between physician reviews and the InterVA model to identifying TB-related mortality was moderate (k = 0.59, 95% CI: 0.57-0.61).

CONCLUSION

The InterVA model is a viable alternative to physician review for tracking TB-related causes of death in Ethiopia. From a public health perspective, InterVA helps to analyze the underlying causes of TB-related deaths cost-effectively using routine survey data and translate to policies and strategies in resource-constrained countries.

Capacity and Readiness Assessment of Healthcare Facilities for Digital Health Interventions Against Tuberculosis and HIV in Addis Ababa, Ethiopia

Background

There is a high level of concern that low-income countries lack the capacity and readiness to effectively adopt, implement, and scale up digital health interventions (DHIs). We aimed to assess the infrastructure and human resource capacity and readiness of healthcare facilities to adopt and implement any new DHI for tuberculosis (TB) and HIV care and treatment in Addis Ababa, Ethiopia.

Method

We carried out a cross-sectional, mixed-methods study in 14 public healthcare facilities that provide TB and HIV care and treatment services. Providers' perceived readiness to adopt and implement digital health was assessed using a self-administered questionnaire designed based on an adapted eHealth readiness assessment model that covers six domains: core readiness, organizational cultural readiness, value proposition readiness, technological readiness, regulatory policy readiness, and operational resource readiness. The infrastructure and human resource capacity were assessed on-site using a tool adapted from the Technology Infrastructure Checklist. Internal consistency was assessed using Cronbach's alpha, and the significant relationship between the composite variables was assessed using Pearson's correlation coefficients (r).

Result

We assessed 14 facilities on-site and surveyed 60 TB and HIV healthcare providers. According to Cronbach's alpha test, all the six technology acceptance domains had a value of >0.8, suggesting a strong interrelatedness between the measuring items. The correlation between technological readiness and operational resource readiness was significant (r = 0.8). The providers perceived their work environment as good enough in electronic data protection, while more efforts are needed in planning, training, adapting, and implementing digital health. Of the 14 facilities, 64.3% lack the plan to establish a functional local area network, and 43% lack skilled staff on payroll to provide maintenance of computers and other digital technologies.

Conclusion

Like many developing countries, there was a modest infrastructure and human resource capacity and readiness of public healthcare facilities in Addis Ababa, Ethiopia, to nurture and strengthen DHIs across the TB and HIV cascades of care. Technological and operational resource readiness, including funding and a Well-trained workforce, are essential for successful implementation and use of digital health against the two infectious diseases of global importance in such settings.

Impact of early chest radiography on delay in pulmonary tuberculosis case notification in Ethiopia

Background:

One-third of tuberculosis (TB) cases are missed each year and delays in the diagnosis of TB are hampering the whole cascade of care. Early chest X-ray (CXR) in patients with cough irrespective of duration may reduce TB diagnostic and treatment delays and increase the number of TB patients put into TB care. We aimed to evaluate the impact of CXR on delay in the diagnosis of pulmonary tuberculosis (PTB) among people with cough of any duration.

Methods:

A facility-based cross-sectional study was conducted in four selected health facilities from two regions and two city administrations of Ethiopia. Patients who sought health care were screened for cough of any duration, and those with cough underwent CXR for PTB and their sputum specimens were tested for microbiological confirmation. Delays were followed up and calculated using median and inter-quartile range (IQR) to summarize (first onset of cough to first facility visit, ≥15 days), diagnosis delay (first facility visit to date of PTB diagnosis, >7 days), and total delay (first onset of cough to date of PTB diagnosis, >21 days). Kruskal–Wallis and Mann–Witney tests were used to compare the delays among independent variables.

Results:

A total of 309 PTB cases were consecutively diagnosed of 1853 presumptive TB cases recruited in the study that were identified from 2647 people who reported cough of any duration. The median (IQR) of patient delay, diagnosis delay, and the total delay was 30 (16–44), 1 (0–3), and 31 (19–48) days, respectively. Patients’ delay contributed a great role in the total delay, 201/209 (96.2%). Median diagnosis delay was higher among those that visited health center, diagnosed at a facility that had no Xpert mycobacterium tuberculosis (MTB)/RIF assay, radiologist, or CXR (P < 0.05). Factors associated with patients delay were history of previous TB treatment (adjusted prevalence ratio [aPR] = 0.79, 95% confidence interval [CI]: 0.63–0.99) and history of weight loss (aPR = 1.12; 95% CI: 1.0–1.25). Early CXR screening for cough of <2 weeks duration significantly reduced the patients’ delay and thus the total delay, but not diagnostic delay alone.

Conclusion:

Early screening using CXR minimized delays in the diagnosis of PTB among people with cough of any duration. Patients’ delay was largest and contributed great role in the delay of TB cases. Screening by cough of any duration and/or CXR among people seeking healthcare along with ensuring the availability of Xpert MTB/RIF assay and skilled human power at primary healthcare facilities are important to reduce patient and diagnostic delays of PTB in Ethiopia.

Five-year trend analysis of tuberculosis in Bahir Dar, Northwest Ethiopia, 2015-2019

Background

Tuberculosis (TB) remains a major cause of morbidity and mortality in Ethiopia despite the increased availability of effective treatments. Trend analysis of issues and priorities affecting TB programs across different regions of the country is critical to ensure equitable and sustainable TB outcomes. We aimed to analyze the trends of TB in Bahir Dar, Northwest Ethiopia, over 5 years from 2015 to 2019.

Methods

An institution-based, retrospective cross-sectional study was conducted in Bahir Dar, the capital city of the Amhara Region in Ethiopia. Five-year data and records of individual TB cases were reviewed from all public and private health-care facilities and health bureaus in Bahir Dar. Using a standard checklist adapted from the World Health Organization, data were abstracted relevant to sociodemographic characteristics of the patients, year and type of TB infection, and HIV status. SPSS version 20 software was used for data analysis.

Results

Data of 4275 patients with TB were identified, of which 929 (21.7%) were smear-positive pulmonary TB, 1195 (28%) were smear-negative pulmonary TB, and 2151 (50.3%) were extrapulmonary TB patients. TB was more prevalent in the age group 15-34 years (51.2%), and females (55.5%). In the years from 2015 to 2019, the prevalence of all forms of TB was 922 (21.6%), 812 (19.0%), 843 (19.7%), 876 (20.5%), and 822 (19.2%), respectively, demonstrating a decreasing trend though inconsistent. The variables sex (adjusted odds ratio [AOR]: 1.734, 95% confidence interval [CI] [1.390-2.187]), HIV co-infection (AOR: 1.875, 95% CI [1.553-2.265]), and age <15 years (AOR: 1.372, 95% CI [1.121-1.680]) showed a significant association with TB infection.

Conclusions

The prevalence of TB in Bahir Dar, Northwest Ethiopia, demonstrated a decreasing trend over the years from 2015 to 2019 but with inconsistencies. HIV co-infection significantly increased the risk of developing TB, and productive age groups and females were at the greater prevalence of TB, highlighting the importance of strengthening sustainable TB care and prevention interventions toward these groups of people.

Real-Time Impact of COVID-19 on Clinical Care and Treatment of Patients with Tuberculosis: A Multicenter Cross-Sectional Study in Addis Ababa, Ethiopia

Background:

There were global concerns and predictions that Coronavirus disease 2019 (COVID-19) would severely affect tuberculosis (TB) care and treatment services in resource-constrained countries. This study aimed to assess the real-time impact of COVID-19 on clinical care and treatment of patients with TB in Addis Ababa, Ethiopia.

Methods:

This was a facility-based, multicenter, cross-sectional study conducted in 10 health centers with high TB clients in Addis Ababa, Ethiopia. Participants were patients with TB who have been attending TB clinical care and treatment in the COVID-19 pandemic period. Data were collected using adapted, interviewer-administered questionnaires to investigate the impact of COVID-19 in their routine care and treatment.

Result:

The study included a total of 212 consented participants. Study participants who missed appointments for medication refill were 40 (18.9%). The most important predictors of missed appointments were fear of COVID-19 [AOR = 4.25, 95% CI (1.710–25.446)], transport disruption [AOR = 8.88, 95% CI (1.618–48.761)], lockdown [AOR = 6.56, 95% CI (1.300–33.131)], traveling costs [AOR = 10.26, 95% CI (1.552–67.882)], and personal protective equipment costs [AOR = 11.15, 95% CI (2.164–57.437)]. The most costly COVID-19 preventive measures that caused financial burden to the patients were face mask [107 (50.5%)], disinfectant [106 (50%)], and sop [50 (23.6%)]. The participants were well aware of the recommended COVID-19 preventive measures. Their perceived most effective preventive measures were the use of face mask (90.1%), frequent hand washing with soap and use of disinfectant (83.0%), avoid touching eyes, nose and mouth with unwashed hands (77.8%), and stay at home (75.5%).

Conclusions:

COVID-19 significantly hampered the clinical care and treatment of patients with TB. The impact was primarily on their appointments for scheduled medication refills, clinical follow-ups, and laboratory follow-ups. Fear of getting infected with COVID-19, limited access to transportation, reduced income for traveling to health facilities, costs for personal protective equipment and traveling to healthcare facilities, and the lockdown were the major determinants. The impact could be mitigated by reducing the number of visits, rationing personal protective equipment as feasible, compensating travel expenses, providing health educations and community-based TB services, and maintaining TB services.

Improving Treatment Adherence with Integrated Patient Management for TB Patients in Morocco

In Morocco, there are challenges in the management of high-risk tuberculosis (TB) patients, including paper-based management and a shortage of healthcare workers related to TB. Additionally, TB management has not been accounted for in various patient types, which affects treatment adherence. This study aims to examine the delivery model of TB management and the outcomes of an integrated patient management system that uses a patient-centered and community-based approach, along with mobile health technology. A total of 3605 TB patients were enrolled in this program in Morocco’s five prefectures (Rabat, Salé, Kénitra, Khemisset, Skhirat–Témara) from January 2018 to December 2019. Patients were managed based on demographic characteristics, socioeconomic status, areas (rural or urban), health literacy levels, and distance to primary health centers. Our mobile health intervention “smart pillbox” was interposed with high-risk TB patients, along with patient education. The rate of successful treatment was 92.2%, which was higher than the national rate (88%). The “lost to follow-up” rate was 4.1%, which was significantly lower than the existing non-adherence rate of 7.9%. Therefore, integrated patient management for TB patients in Morocco is more effective than the existing conventional programs. This comprehensive approach provides an alternative method for countries with limited resources.

Programmatic challenges in managing multidrug-resistant tuberculosis in Malawi

Background

Multidrug-resistant tuberculosis (MDR-TB) is one of the most urgent challenges that Malawi tends to take a firm public health action. A recent increase in multidrug MDR-TB cases, a decrease in treatment success rate, and a double increase of lost-to-follow-up call into question the country's programmatic management of MDR-TB (PMDT). As such, the study aimed at exploring programmatic challenges in managing MDR-TB in Malawi.

Methods

A comprehensive and nonsystematic search was made in PubMed and Google Scholar using mainly the keywords "MDR-TB" "extensively drug-resistant TB," Malawi. The study reviewed existing guidelines and gray literature and reviewed data obtained from the national TB program (NTP) as well.

Results

The study found the following challenges affecting PMDT: decrease in funding, partial access to GeneXpert, delay in diagnosis, long treatment duration, lack of adequate personal protective equipment, the long turnaround time of culture results, failure to initiate all diagnosed patients on treatment, absence of alternative second-line medicines, and lack of transport from health facilities to patient homes.

Conclusion

If the Malawi NTP is to achieve a vision of a "TB-free Malawi," rigorous efforts at all levels must be made, including mobilizing domestic resources for improved MDR-TB program performance. Developing partners should continue providing the much-needed funding to the Malawi government to stand in the wake of the MDR-TB crisis.

Pragmatic Management of Drug-Resistant Tuberculosis: A Qualitative Analysis of Human Resource Constraints in a Resource-Limited Country context-Ethiopia

Objectives: Existing evidence suggests that drug-resistant tuberculosis (DR-TB) remains a huge public health threat in high-burden TB countries such as Ethiopia. The purpose of this qualitative study was to explore the challenges of healthcare workers (HCWs) involved in providing DR-TB care in Addis Ababa, Ethiopia.

Methods: We conducted in-depth interviews with 18 HCWs purposively selected from 10 healthcare facilities in Addis Ababa, Ethiopia. We then transcribed the audiotaped interviews, and thematically analysed the transcripts using Braun and Clark’s reflexive thematic analysis framework.

Results: We identified five major themes: 1) inadequate training and provision of information on DR-TB to HCWs assigned to work in DR-TB services, 2) fear of DR-TB infection, 3) risk of contracting DR-TB, 4) a heavy workload, and 5) resource limitations.

Conclusion: Our findings highlight major human resource constraints that current DR-TB care policies need to foresee and accommodate. New evidence and best practices on what works in DR-TB care in such resource-limited countries are needed in order to address implementation gaps and to meet global TB strategies.

The potential use of digital health technologies in the African context: a systematic review of evidence from Ethiopia

The World Health Organization (WHO) recently put forth a Global Strategy on Digital Health 2020–2025 with several countries having already achieved key milestones. We aimed to understand whether and how digital health technologies (DHTs) are absorbed in Africa, tracking Ethiopia as a key node. We conducted a systematic review, searching PubMed-MEDLINE, Embase, ScienceDirect, African Journals Online, Cochrane Central Registry of Controlled Trials, ClinicalTrials.gov, and the WHO International Clinical Trials Registry Platform databases from inception to 02 February 2021 for studies of any design that investigated the potential of DHTs in clinical or public health practices in Ethiopia. This review was registered with PROSPERO (CRD42021240645) and it was designed to inform our ongoing DHT-enabled randomized controlled trial (RCT) (ClinicalTrials.gov ID: NCT04216420). We found 27,493 potentially relevant citations, among which 52 studies met the inclusion criteria, comprising a total of 596,128 patients, healthy individuals, and healthcare professionals. The studies involved six DHTs: mHealth (29 studies, 574,649 participants); electronic health records (13 studies, 4534 participants); telemedicine (4 studies, 465 participants); cloud-based application (2 studies, 2382 participants); information communication technology (3 studies, 681 participants), and artificial intelligence (1 study, 13,417 participants). The studies targeted six health conditions: maternal and child health (15), infectious diseases (14), non-communicable diseases (3), dermatitis (1), surgery (4), and general health conditions (15). The outcomes of interest were feasibility, usability, willingness or readiness, effectiveness, quality improvement, and knowledge or attitude toward DHTs. Five studies involved RCTs. The analysis showed that although DHTs are a relatively recent phenomenon in Ethiopia, their potential harnessing clinical and public health practices are highly visible. Their adoption and implementation in full capacity require more training, access to better devices such as smartphones, and infrastructure. DHTs hold much promise tackling major clinical and public health backlogs and strengthening the healthcare ecosystem in Ethiopia. More RCTs are needed on emerging DHTs including artificial intelligence, big data, cloud, cybersecurity, telemedicine, and wearable devices to provide robust evidence of their potential use in such settings and to materialize the WHO’s Global Strategy on Digital Health.

Molecular bacterial load assay versus culture for monitoring treatment response in adults with tuberculosis

The lack of rapid, sensitive, and deployable tuberculosis diagnostic tools is hampering the early diagnosis of tuberculosis and early detection of treatment failures. The conventional sputum smear microscopy or Xpert MTB/RIF assay cannot distinguish between alive and dead bacilli and the culture method delays providing results. Tuberculosis molecular bacterial load assay is a reverse transcriptase real-time quantitative polymerase chain reaction that quantifies viable tuberculosis bacillary load as a marker of treatment response for patients on anti-tuberculosis therapy. However, results are not synthesized enough to inform its comparative advantage to tuberculosis culture technique which is yet the gold standard of care. With this review, we searched electronic databases, including PubMed, Embase, and Web of Science, from March 2011 up to February 2021 for clinical trials or prospective cohort studies that compared tuberculosis molecular bacterial load assay with tuberculosis culture in adults. We included eight studies that meet the inclusion criteria. Tuberculosis molecular bacterial load assay surpasses culture in monitoring patients with tuberculosis during the first few weeks of anti-tuberculosis treatment. It is more desirable over culture for its shorter time to results, almost zero rates of contamination, need for less expertise on the method, early rate of decline, lower running cost, and reproducibility. Its rapid and specific tuberculosis treatment monitoring competency benefits patients and healthcare providers to monitor changes of bacillary load among isolates with drug-susceptible or resistance to anti-tuberculosis regimens. Despite of the high installing cost of the tuberculosis molecular bacterial load assay method, molecular expertise, and a well-equipped laboratory, tuberculosis molecular bacterial load assay is a cost-effective method with comparison to culture in operational running. To achieve maximum utility in high tuberculosis burden settings, an intensive initial investment in nucleic acid extraction and polymerase chain reaction equipment, training in procedures, and streamlining laboratory supply procurement systems are crucial. More evidence is needed to demonstrate the potential large-scale and sustainable use of tuberculosis molecular bacterial load assay over culture in resource-constrained settings.

Pyrosequencing for diagnosis of multidrug and extensively drug-resistant tuberculosis: A systemic review and meta-analysis

Background

Multidrug and extensively drug-resistant tuberculosis (M/XDR-TB) pose major threats to global health. Diagnosis accuracy and delay have been the major drivers for the upsurge of M/XDR-TB. Pyrosequencing (PSQ) is a novel, real-time DNA sequencing for rapid detection of mutations associated with M/XDR-TB. We aimed to systematically synthesize the evidence on the diagnostic accuracy of PSQ for M/XDR-TB.

Methods

We conducted an electronic search of PubMed, Embase, Biosis, Web of Science, and Google Scholar up to March 2020. We used the QUADAS‐2 (Quality Assessment of Diagnostic Accuracy Studies) tool to assess the quality of studies, the BRMA (bivariate random‐effects meta-analysis) model to synthesize diagnostic accuracies, and the Rev-Man 5.4 software to perform the meta-analyses. We analyzed dichotomous data using the risk ratio (RR) with a 95% confidence interval. PROSPERO Registration ID: CRD42020200817.

Results

The analysis included seven studies, with a total sample of 3,165. At 95% confidence interval, the pooled sensitivity and specificity of PSQ were 89.7 (CI: 83.5–93.8) and 97.8 (CI: 94.9–99.1) for Isoniazid, 94.6 (CI: 90.9–96.8) and 98.5 (CI: 96.5–99.3) for Rifampicin, 87.9 (CI: 81.2–92.4) and 98.8 (CI: 97.2–99.5) for Fluoroquinolone, 83.5 (CI: 72.8–90.5) and 99.4 (CI: 98.3–99.8) for Amikacin, 79 (CI: 67–8-87) and 97.9 (CI: 95.5–99) for Capreomycin, and 69.6 (CI: 57–79.8) and 98.2 (CI: 95.9–99.2) for Kanamycin. The overall pooled sensitivity and specificity were 85.8 (CI: 76.7–91.7) and 98.5 (CI: 96.5–99.3), respectively.

Conclusion

According to the pooled data, PSQ is highly sensitive and specific for detecting M/XDR-TB, both from clinical specimens and culture isolates, and within a shorter turnaround time. We suggest a continued synthesis of the evidence on the cost-effectiveness and technical feasibilities of PSQ in low-income countries context, including sub-Saharan Africa.

Harnessing Clinical Trial Capacity to Mitigate Zoonotic Diseases: The Role of Expert Scientists in Ethiopia

Background: The emergence and resurgence of zoonotic diseases have continued to be a major threat to global health and the economy. Developing countries are particularly vulnerable due to agricultural expansions and domestication of animals with humans. Scientifically sound clinical trials are important to find better ways to prevent, diagnose, and treat zoonotic diseases, while there is a lack of evidence to inform the clinical trials' capacity and practice in countries highly affected with the diseases. This study aimed to investigate expert scientists' perceptions and experiences in conducting clinical trials toward zoonotic diseases in Ethiopia.

Methods: This study employed a descriptive, qualitative study design. It included major academic and research institutions in Ethiopia that had active engagements in veterinary and public health researches. It included the National Veterinary Institute, the National Animal Health Diagnostic and Investigation Center, the College of Veterinary Medicine at Addis Ababa University, the Ethiopian Public Health Institute, the Armauer Hansen Research Institute, and the College of Health Sciences at Addis Ababa University. In-depth interviews were conducted with expert scientists. Data were collected from October 2019 to April 2020. Data analysis was undertaken using open code 4.03 for qualitative data analysis.

Results: Five major themes, with 18 sub-themes, emerged from the in-depth interviews. These were: challenges in the prevention, control, and treatment of zoonotic diseases; One Health approach to mitigate zoonotic diseases; personal and institutional experiences in conducting clinical trials on zoonotic diseases; barriers in conducting clinical trials toward zoonotic diseases; and strategies that promote conducting clinical trials on zoonotic diseases. Conducting clinical trials on zoonotic diseases in Ethiopia is hampered by a lack of clearly articulated ethics and regulatory frameworks, trial experts, financial resources, and good governance.

Conclusion: In Ethiopia, conducting clinical trials on zoonotic diseases deserves due attention. Strengthening institutional and human resources capacity is a pre-condition to harness effective implementation of clinical trials on zoonotic diseases in the country. In Ethiopia where skilled human resource is scarce, One Health approach has the potential to form multidisciplinary teams to systematically improve clinical trials capacity and outcomes in the country.

Global Dieting Trends and Seasonality: Social Big-Data Analysis May Be a Useful Tool

We explored online search interest in dieting and weight loss using big-data analysis with a view to its potential utility in global obesity prevention efforts. We applied big-data analysis to the global dieting trends collected from Google and Naver search engines from January 2004 to January 2018 using the search term “diet,” in selected six Northern and Southern Hemisphere countries; five Arab and Muslim countries grouped as conservative, semi-conservative, and liberal; and South Korea. Using cosinor analysis to evaluate the periodic flow of time series data, there was seasonality for global search interest in dieting and weight loss (amplitude = 6.94, CI = 5.33~8.56, p < 0.000) with highest in January and the lowest in December for both Northern and Southern Hemisphere countries. Seasonal dieting trend in the Arab and Muslim countries was present, but less remarkable (monthly seasonal seasonality, amplitude = 4.07, CI = 2.20~5.95, p < 0.000). For South Korea, seasonality was noted on Naver (amplitude = 11.84, CI = 7.62~16.05, p < 0.000). Our findings suggest that big-data analysis of social media can be an adjunct in tackling important public health issues like dieting, weight loss, obesity, and food fads, including the optimal timing of interventions.

Electronic dose monitoring identifies a high-risk subpopulation in the treatment of drug-resistant tuberculosis and HIV

BACKGROUND

In generalized drug-resistant tuberculosis (DR-TB) HIV epidemics, identifying subpopulations at high risk for treatment failure and loss to care is critically important to improve treatment outcomes and prevent amplification of drug resistance. We hypothesized that an electronic dose-monitoring (EDM) device could empirically identify adherence-challenged patients and that a mixed-methods approach would characterize treatment challenges.

METHODS

A prospective study of DR-TB HIV patients on antiretroviral therapy (ART) initiating bedaquiline-containing regimens in KwaZulu-Natal, South Africa. Separate EDM devices measured adherence for bedaquiline and ART. Patients with low adherence (<85%) to both bedaquiline and ART were identified as high-risk for poor outcomes. Baseline survey, study visit notes and focus group discussions characterized treatment challenges.

RESULTS

From December 2016-February 2018, 32 of 198 (16%) enrolled DR-TB HIV patients were identified as dual adherence-challenged. In a multivariate model including baseline characteristics, only receiving a disability grant was significantly associated with dual non-adherence at 6-months. Mixed-methods identified treatment barriers including, alcohol abuse, family conflicts, and mental health issues. Compared to adherent patients, dual-adherence challenged patients struggled to prioritize treatment and lacked support, and dual adherence-challenged patients experienced higher rates of detectable HIV viral load and mortality compared to more adherent patients.

CONCLUSION

EDM empirically identified a subpopulation of DR-TB HIV patients with dual adherence challenges early in treatment. Mixed-methods revealed intense psychosocial, behavioral, and structural barriers to care in this subpopulation. Our data supports developing differential, patient-centered, adherence support interventions focused on psychosocial and structural challenges for subpopulations of at-risk DR-TB HIV patients.

Containment of COVID-19 in Ethiopia and implications for tuberculosis care and research

BACKGROUND

The coronavirus disease 2019 (COVID-19) has emerged as a global health and economic security threat with staggering cumulative incidence worldwide. Given the severity of projections, hospitals across the globe are creating additional critical care surge capacity and limiting patient routine access to care for other diseases like tuberculosis (TB). The outbreak fuels panic in sub-Saharan Africa where the healthcare system is fragile in withstanding the disease. Here, we looked over the COVID-19 containment measures in Ethiopia in context from reliable sources and put forth recommendations that leverage the health system response to COVID-19 and TB.

MAIN TEXT

Ethiopia shares a major proportion of the global burden of infectious diseases, while the patterns of COVID-19 are still at an earlier stage of the epidemiology curve. The Ethiopian government exerted tremendous efforts to curb the disease. It limited public gatherings, ordered school closures, directed high-risk civil servants to work from home, and closed borders. It suspended flights to 120 countries and restricted mass transports. It declared a five-month national state of emergency and granted a pardon for 20 402 prisoners. It officially postponed parliamentary and presidential elections. It launched the 'PM Abiy-Jack Ma initiative', which supports African countries with COVID-19 diagnostics and infection prevention and control commodities. It expanded its COVID-19 testing capacity to 38 countrywide laboratories. Many institutions are made available to provide clinical care and quarantine. However, the outbreak still has the potential for greater loss of life in Ethiopia if the community is unable to shape the regular behavioral and sociocultural norms that would facilitate the spread of the disease. The government needs to keep cautious that irregular migrants would fuel the disease. A robust testing capacity is needed to figure out the actual status of the disease. The pandemic has reduced TB care and research activities significantly and these need due attention.

CONCLUSIONS

Ethiopia took several steps to detect, manage, and control COVID-19. More efforts are needed to increase testing capacity and bring about behavioral changes in the community. The country needs to put in place alternative options to mitigate interruptions of essential healthcare services and scientific researches of significant impact.