We fast-track accepted articles to ensure that important scientific research is shared as rapidly as possible and publish them as edited preprints, prior to publication in the IJTLD, IJTLD OPEN or PHA.
To subscribe to the IJTLD online or in print – either as an Institute or as an Individual – please read our Subscription Information, or email subscription@theunion.org for further details.
Read the free PDF for the full article Supplementary Data
S.A. Adakun, F.M. Banda, A. Bloom, M. Bochnowicz, J. Chakaya, A. Chansa, H. Chiguvare, R. Chimzizi, C. Colvin, J. P. Dongo, A. Durena, C. Duri, R. Edmund, A.D. Harries, I. Kathure, F. N. Kavenga, Y. Lin, H. Luzze, I. Mbithi, M. Mputu, A. Mubanga, D. Nair, M. Ngwenya, B. Okotu, P. Owiti, A. Owuor, P. Thekkur, C. Timire, S. Turyahabwe, E. Tweyongyere, M. YaDiul, R. Zachariah, K. Zimba
SUMMARY
BACKGROUND: We examined the feasibility of assessing and referring adults successfully completing TB treatment for comorbidities, risk determinants and disability in health facilities in Kenya, Uganda, Zambia and Zimbabwe.
METHODS: A cross-sectional study within National TB Programmes.
RESULTS: Health workers assessed 1,063 patients (78% of eligible) in a median of 22[IQR:16–35] minutes and found it useful and feasible to accomplish in addition to other responsibilities. For comorbidities, 476 (44%) had HIV co-infection, 172 (16%) had high blood pressure [newly detected in 124], 43 (4%) had mental health disorder [newly detected in 33] and 36 (3%) had diabetes mellitus. The most common risk determinants were ‘probable alcohol dependence’ (15%) and malnutrition (14%). Disability, defined as walking <400 metres in six minutes, was found in 151/882 (17%). Overall, 763 (72%) patients had at least one comorbidity, risk determinant and/or disability. At least two-thirds of eligible patients were referred for care, although 80% of those with disability needed referral outside their original health facility.
CONCLUSIONS: Seven-in-ten patients completing TB treatment had at least one comorbidity, risk determinant and/or disability. This emphasises the need for offering early patient-centred care, including pulmonary rehabilitation, to improve quality of life, reduce TB recurrence and increase long-term survival.
KEY WORDS: TB-associated disability; TB-associated lung disease; Real-time operational research; SORT IT; Universal health coverage
Globally in 2022, 86% of people newly enrolled on first-line anti-TB treatment successfully completed treatment.1Despite this achievement, a significant proportion (up to 65%) of people who complete TB treatment have post-TB complications that negatively affect their health-related quality of life.2–5 People successfully completing TB treatment also have a significantly higher all-cause mortality compared with the general population, with many deaths attributable to non-communicable diseases including cardiovascular disease.6 Additionally, a recent study evaluating the lifetime burden of disease due to incident TB found that nearly 50% of the total disability-adjusted life years (DALYs) was attributed to post-TB sequelae.7 Given the current burden of TB-associated disability and mortality, patients with TB merit assessment of their general health status both during and at the end of TB treatment with actions taken to address on-going illness, risk determinants, comorbidities and disability.8,9 Important operational questions, however, about who will carry out these assessments and provide appropriate interventions, and whether this can be routinely done within the healthcare system, need to be addressed.10,11 Most National TB Programmes (NTPs) currently focus on diagnosis and treatment that is restricted to the duration of TB treatment, as it is often asserted that it is not the responsibility of NTPs and/or they do not have the capacity to take on these additional tasks after treatment is completed.11 We believe, however, that there is a case to be made for NTP staff to carry out such assessments at both the start and end of TB treatment. We have outlined the rationale for this previously, highlighting how this could improve TB treatment outcomes, reduce the risk of recurrence, pave the way for pulmonary rehabilitation and address comorbidities, all of which would reduce long-term mortality and improve quality of life.12
Such assessments have been carried out in the routine programme setting in China. The first study focused on assessing patients at the end of TB treatment.13 The second study focused on conducting assessments both at the start and end of TB treatment, with referrals made to available services for individuals identified with comorbidities, on-going risk determinants and disability.14 In both studies, healthcare workers reported that the additional workload was feasible and valuable for their patients. However, further work is needed to determine if it is useful and feasible to carry out similarassessments and referrals in other country contexts, especially at the end of TB treatment. A PubMed search revealed no published studies on this subject from routine programme settings in Africa.
Therefore, the aim of this study was to examine the feasibility and time taken to assess patients successfully completing TB treatment for comorbidities, risk determinants and disability and referring them for care in selected health facilities in Kenya, Uganda, Zambia and Zimbabwe. Specific objectives were to assess, i) the feasibility in terms of proportion of eligible patients who could be assessed, time taken for assessment and proportion of assessments that were found feasible/useful by the HCWs, ii) the proportion with residual symptoms of TB, comorbidities, risk determinants and disability and iii) the proportion of patients with identified abnormalities referred to routine services for care and support.
METHODS
Study design: this was a cross-sectional study carried out within the routine NTP services of four African countries.
Study sites and setting: the study was conducted in Kenya, Uganda, Zambia and Zimbabwe. The selection of health facilities was guided by logistic convenience and where there were sufficient numbers of TB patients registered each year. Eligible health facilities had to have on-site facilities for blood glucose testing and equipment such as blood pressure measuring machines or easy referral for these tests if equipment was not available or non-functional. TB treatment in all countries was in line with standardized national guidelines. The study was conducted in 26 health facilities; six each in Kenya and Zambia, seven each in Uganda and Zimbabwe. Details of these sites are shown in Supplementary Data S1.
Study population: The study population included consecutive patients aged ≥18 years who completed TB treatment with any form of TB and assessed at their last follow up visit or at the time of ascertaining their final treatment outcomes. The minimum estimated total sample size was 323 patients, assuming the prevalence of walking <400 metres in the 6-minute walk test (6MWT) to be 30%,14 absolute precision of 5% and 95% confidence level. To maximize precision, the country teams recruited all patients consecutively completing TB treatment from the start of the project until December 05, 2023 (censor date). The recruitment period varied among countries: one month in Kenya, two months in Zambia and four months each in Uganda and Zimbabwe.
Training of health professionals through an adapted SORT IT and the development of generic and country-specific study protocols
Training of the study group was carried out using an adapted SORT IT (Structured Operational Research Training Initiative) model focused on implementing real-time implementation research with country teams.15,16 From each country, the NTP manager (or suitable representative), the NTP Monitoring and Evaluation Officer, and the appointed in-country study coordinator attended a one-week face-to-face training in March 2023, in Nairobi, Kenya. In this module, participants learnt about key principles of operational research, and how to conduct patient assessments and refer those in need for further care. The teams were also trained on data collection methods using an EpiCollect5 mobile cloud-based application which allows quality control checks and analysis to be done in real-time. During this module, participants adapted a generic proposal that was developed based on prior experience from two path-finder projects in China.13,14Prior to the face-to-face training, the generic protocol and data collection form (questionnaire) was circulated on-line to the NTP teams of all the four countries. Country specific study protocol and standardized questionnaires were then developed during the one-week face-to-face SORT IT training. The principal investigator and key members of the China study team were also included as part of the Kenya, Uganda, Zambia and Zimbabwe TB disability study group to help with practical guidance. A focal person (doctor, nurse or clinical officer) was appointed in each facility to conduct assessments, refer patients to care and fill a structured data collection form (see Supplementary Data for a sample of the study questionnaire). They were trained by the country representatives who attended the SORT-IT module. At the conclusion of the project, the same study group attended a one-week face-to-face training module in December 2023 in Nairobi, at which they learnt about data analysis and scientific paper writing. At the same time, the study group wrote up this current manuscript.
Assessment for comorbidities, risk determinants and disability
The focal persons collected demographic and clinical data on all patients, including on-going symptoms at the end of treatment. TB patients were interviewed at either last follow-up visit or at the time of ascertaining their final treatment outcomes.
Comorbidities included human immunodeficiency virus (HIV) infection, diabetes mellitus (DM), high blood pressure and mental health disorders. Patients were asked whether or not they had a known diagnosis of these conditions either prior to starting TB treatment or during TB treatment. For those with no prior diagnosis of DM, a random blood glucose (RBG) followed by a fasting blood glucose (FBG) was performed. An FBG ≥7.0mmol/L (≥126 mg/dL) or a RBG ≥11.1 mmol/L (≥200 mg/dL) was defined as hyperglycemia,17 with patients referred to a diabetes clinic for further evaluation of the disease. Patients were screened for high blood pressure, and any person with a systolic blood pressure ≥140 mmHg and/or diastolic blood pressure ≥90 mmHg was diagnosed as having high blood pressure.18 Mental health disorder was assessed through the Patient Health Questionnaire (PHQ-2),19 and any person with a score ≥3 was referred to a specialist in mental health for confirmation. HIV testing was not performed.
Risk determinants: included20 occupational exposure to silica and use of recreational drugs. Malnutrition was defined as body mass index (BMI) <18.5 kg/m2.
Disability was defined as walking less than 400 meters in six-minute walking test (6MWT). The 6MWT is an exercise test a 6MWT which is an exercise test used as a proxy for cardio-pulmonary function (aerobic capacity and endurance).21 The attending healthcare worker directed patients to walk around a measured track for six minutes.22 Details of procedures followed to conduct these assessments at country level are provided in the Supplementary Data.
Onward referrals for eligible patients
The focal person at each health facility decided whether to offer medical care in the same clinic or refer patients with identified comorbidities, risk determinants and/or disability to other appropriate services in the same health facility or in another institution in the same catchment area. Criteria for referral are shown in Table 1. To where patients were referred are shown in Supplementary Data.
Data collection, analysis and statistics
Individual patient data were collected using a pre-designed data collection form on EpiCollect5 and cross-checked by each focal person at the implementing sites. The country study coordinator oversaw the work and monitored data quality check reports generated bi-weekly by a data validation team at the Centre for Operational Research (COR), The Union. Feasibility parameters that were assessed included a) the overall proportion of patients in the study cohort who could be assessed (response rate), b) the time taken to perform the assessments, c) whether the HCWs found it was feasible to conduct these assessments in addition to their usual tasks and d) if they felt it was useful for improving the care of TB patients. The questionnaires were administered in English and, where needed, through translation into the local language(s). Data were analysed using STATA® (version 16.0 StataCorp LLC). Continuous data were summarised as means with standard deviations (SD) or medians with interquartile ranges (IQR) while categorical data were summarised as frequencies and proportions. Univariate and multivariable binomial regression was performed to assess the characteristics (demographic, clinical, comorbidities and risk determinants) associated with 6MWT <400m. The variables with P value <0.3 at univariable analysis were included in the multivariable regression. Crude and adjusted prevalence ratios (aPR) with 95% confidence interval (CI) were calculated to assess associations.
Permission to assess TB patients at the end of treatment and use the data was obtained from the NTP of each country. The generic protocol was approved for SORT IT by the International Union Against TB and Lung Disease Ethics Advisory Group (EAG 01/2023 on 13/02/2023). Country specific protocols were approved by: Kenya Medical Research Institute Scientific and Ethical Research Unit (KEMRI/4761 on 02/10/2023), Mulago Research Ethics Committee (MHREC2023-96 on 17/07/2023), University of Zambia Biomedical Research Committee (4124-2023 on 22/06/2023) and Medical Research Council of Zimbabwe (MRCZ/A/3018 on 19/05/2023). Informed consent was obtained from all patients recruited for the study.
RESULTS
Demographic and clinical characteristics
Of 1355 TB patients successfully completing treatment, 1063 (78%) were assessed. Demographic and clinical characteristics of these 1063 patients are shown in Table 2. The mean age (SD) was 38 (12) years and 65% were males. Nearly all patients resided in urban areas. The majority (96%) had pulmonary TB, 70% were bacteriologically confirmed, 91% were newly diagnosed and 2% had drug-resistant TB.
Feasibility of conducting assessments
All health workers found it feasible to accomplish the assessments in addition to their other responsibilities and they felt these were useful to improve care for their patients. The median (IQR) time required to perform assessments was 22 (16-35) minutes with a breakdown as shown in Table 2.
Ongoing symptoms, comorbidities, risk determinants and disability
Prevalence of on-going symptoms, comorbidities, risk determinants and disability are shown in Table 3. One quarter of patients had on-going symptoms, with cough the most common. For comorbidities, 476 (44%) had HIV infection diagnosed any time before assessment; 36 (3%) had DM/hyperglycemia with newly detected hyperglycemia identified in 13; 172 (16%) had high blood pressure with newly detected high blood pressure in 124; and 43 (4%) had a mental health disorder, with newly detected ‘probable depression’ in 33. The two most common risk determinants were ‘probable alcohol dependence’ (15%) and malnutrition (14%). Smoking, occupational exposure to silica dust and use of recreational drugs were found in 5%, 5% and 3% respectively. The 6MWT was carried out in 882 of 895 patients (excluding Zimbabwe), of whom 151 (17%) walked <400m. The median (IQR) distance walked in six minutes was 442 (410-500) meters. There were 763 (72%) patients who had at least one comorbidity, risk determinant and/or disability at the end of treatment.
Characteristics associated with disability (6MWT<400m)
Characteristics associated with disability are shown in Table 4. On adjusted analysis, the significant associations were age 45-59 years (aPR: 2.2, 95% CI: 1.4-3.5), age ≥60 years (aPR: 4.8, 95% CI: 2.9-7.7) and having a mental health disorder (aPR: 2.4, 95% CI: 1.3-4.2). There were no significant associations with type of TB, category of TB, drug sensitivity type or smoking.
Referral for care
The eligibility and referral for further care are shown in Table 5. At least two thirds of all eligible patients were referred for care. More than 79% of those with a comorbidity were referred for care to within the same health facility as were almost all those with malnutrition (98%). For other conditions, the proportions of patients provided care within the same health facility were 56% for alcohol dependence, 50% for recreational drug use, 40% for smoking, and 28% for occupational exposure to silica. Of those with 6MWT <400 metres, only 20% could be referred within the same health facility (80% needed referral outside their original health facility.
DISCUSSION
This first implementation research study conducted within the NTPs of four African countries shows that one quarter of TB patients had on-going symptoms, around one in five had disability (meaning they were unable to walk 400 meters in six minutes) and three quarters had at least one comorbidity, risk determinant and/or disability. A substantial number of individuals were newly detected with high blood pressure; the most common risk determinants were malnutrition and probable alcohol dependence. Referrals for care within the same facility were limited for several risk determinants and especially for disability. These findings highlight the need for assessing and providing integrated services, including pulmonary rehabilitation, for TB patients at the end of TB treatment and if possible, earlier to include all stages of their treatment from initiation through to completion of TB treatment. In terms of feasibility, over three quarters of the cohort were assessed within the routine framework of the NTPs, the assessments were conducted in about 22 minutes and all health workers found it feasible to accomplish these assessments in addition to their other responsibilities. All health workers also felt that these assessments were useful in improving care for their patients. The study findings are important for several reasons. First, they add justification to the argument that a ‘fourth 90’ be added to the 2014 Stop TB Partnership’s 90-(90)-90 targets to ensure that at least 90% of people with TB have a good health-related quality of life.23Second, the WHO has recently released its first policy brief on addressing TB-associated disability10 and our country-level experience can contribute to the ‘how to implement’ this policy in the field. Third, the findings support WHO’s call for a global commitment ‘Rehabilitation 2030’, which recognises rehabilitation as an essential health service for all, necessary for achieving Universal Health Coverage,24 as well as the first commitment of the 2023 United Nations High Level Meeting to strengthen comprehensive care including for TB-associated disability.25
There were several strengths of the study. It is operationally relevant as it was conducted within programmatic settings of high TB burden countries. The subject matter responds to an identified implementation research priority. Data were collected in real-time with bi-weekly and rigorous data validation measures. Finally, the conduct and reporting of the study adhered to STROBE (Strengthening The Reporting of Observational Studies in Epidemiology) guidelines.26 There were some limitations. Nearly one quarter of TB patients completing treatment were not assessed, the reasons for this were not collected. Children were not included, although they may also experience significant TB-associated disability post treatment.27 There were delays in obtaining ethics approvals in some countries resulting in variations across countries in the number of individuals recruited. The study mainly included health facilities in urban areas and therefore may not be nationally representative. The limited project time frame did not allow us to assess parameters such as whether those who were referred did eventually receive care, which services were lacking and whether disability affected the livelihood of individuals. Due to the short time frame of the project, our assessment of feasibility was largely limited to obtaining health worker perceptions’ of whether they found it feasible and useful to accomplish the tasks in addition to their usual responsibilities. More in-depth qualitative assessments on feasibility issues are merited in future research. Finally, we encountered “teething” problems with performing the 6MWT in Zimbabwe resulting in exclusion of data collected from Zimbabwe on this parameter. We plan to bridge these gaps in future research.
Despite these limitations, there are a number of policy and practice implications. First, similar to our prior study in China,13 health workers took a median of 22 minutes to perform the assessments and found the work feasible and useful. This is encouraging as it reflects enthusiasm and a ‘perceived need’ for this activity for the benefit of patients, both of which are essential to pave the way towards improving patient-centred care. Second, three quarters of TB patients had comorbidities, risk determinants and/or disability, with the most prevalent being HIV co-infection, high blood pressure, malnutrition, probable alcohol dependence and disability. Unlike other settings,28,29 the prevalence of DM/ hyperglycemia was low at 3%. Both malnutrition and excess alcohol use can increase the risk of TB recurrence30,31 and high blood pressure can increase mortality both during and after TB treatment.32 This emphasises the importance of identifying and managing these conditions early to improve treatment success, reduce TB recurrence and improve long-term survival. Third, 17% of our cohort had disability measured by the 6MWT; this was significantly associated with increasing age and the presence of a mental health disorder. This proportion is lower than that found in China,13,14possible reasons including a cohort that was considerably younger and a higher proportion of disabled patients who may have died or been lost to follow up (survival bias) during TB treatment as a result of high HIV co-infection in our setting. Of those with disability, 80% needed referral outside their original health facility. This highlights the need for introducing low-cost pulmonary rehabilitation interventions that are simple enough to be performed by front-line health workers and/or trained TB survivors.33 It is also important to note that since the 6MWT was only done at the end of TB treatment, we are unable to determine whether this disability was present prior to, or developed during, TB treatment. Fourth, in-facility care was excellent (>98%) for HIV co-infection and malnutrition, indicating successful coordination and integration of these services. However, in-facility care was sub-optimal for smoking, probable alcohol dependence, occupational exposure to silica, recreational drug use and disability. Mapping of the services available in the same health facility and identifying priority areas that should be made easily accessible either in-facility or by referral is merited.Finally, the adapted SORT IT training of front-line health workers creates a useful and unique synergy between implementing research studies and strengthening the health system capacity to monitor and deliver services in real-time. This approach can equip healthcare workers to take evidence-based actions using real-time data intelligence, especially during outbreaks and pandemics.34,35
In conclusion, in four African countries, a substantial proportion of TB patients who completed TB treatment were identified as having comorbidities, risk determinants and/or disability. These findings serve as a call to improve patient-centred care for individuals with TB to improve treatment outcomes, enhance quality of life, reduce TB recurrence and increase long-term survival.
Acknowledgements
This research was conducted through the Structured Operational Research and Training Initiative (SORT IT), a global partnership led by TDR, the Special Programme for Research and Training in Tropical Diseases at the World Health Organization (WHO). The specific SORT IT program that led to this publication included a SORT IT partnership with the National TB Programmes of Kenya, Uganda, Zambia and Zimbabwe; The Respiratory Society of Kenya; Center for Infectious Diseases Research in Zambia; The Union Zimbabwe Trust; and The International Union Against Tuberculosis and Lung Disease, Paris and Uganda offices. We are grateful to the staff of all participating health facilities and all involved USAID missions and backstops for their continued support for this project. This SORT IT program was funded by USAID. TDR is able to conduct its work thanks to the commitment and support from a variety of funders. A full list of TDR donors is available at: https://tdr.who.int/about-us/our-donors. In accordance with WHO’s open-access publication policy for all work funded by WHO or authored / co-authored by WHO staff members, WHO retains the copyright of this publication through a Creative Commons Attribution IGO license (http://creativecommons.org/licenses/by/3.0/igo/legalcode) which permits unrestricted use, distribution and reproduction in any medium provided the original work is properly cited. There should be no suggestion that WHO endorses any specific organization, products or services. The use of the WHO logo is not permitted. This notice should be preserved along with the article’s original URL. The views and opinions expressed in this paper are those of the authors and not necessarily the views and opinions of their affiliated institutions nor of the United States Agency for International Development. Requests to access these data should be sent to the corresponding author.
Conflicts of interest; none declared.
References
1. World Health Organization. Global Tuberculosis Report 2023. Geneva, Switzerland; 2023.
2. Tadyanemhandu C, et al. Treatment success, but living with the consequences of post-tuberculosis sequelae. Int J Tuberc Lung Dis. 2020 Jul 1;24(7):657–8.
3. Muñoz-Torrico M, et al. Functional impact of sequelae in drug-susceptible and multidrug-resistant tuberculosis. Int J Tuberc Lung Dis. 2020;24(7):700–5.
4. Gupte AN, et al. Assessment of lung function in successfully treated tuberculosis reveals high burden of ventilatory defects and COPD. PLoS One. 2019;14(5):e0217289.
5. Taylor J, et al. Residual respiratory disability after successful treatment of pulmonary tuberculosis: a systematic review and meta-analysis. EClinicalMedicine. 2023 May 1;59:101979.
6. Romanowski K, et al. Long-term all-cause mortality in people treated for tuberculosis: a systematic review and meta-analysis. Lancet Infect Dis. 2019;19(10):1129–37.
7. Menzies NA, et al. Lifetime burden of disease due to incident tuberculosis: a global reappraisal including post-tuberculosis sequelae. Lancet Glob Heal. 2021;9(12):e1679–87.
8. Harries AD, et al. Successfully treated but not fit for purpose: paying attention to chronic lung impairment after TB treatment. Int J Tuberc Lung Dis. 2016;20(8):1010–3.
9. Nightingale R, et al. Post-TB health and wellbeing. Int J Tuberc Lung Dis. 2023;27(4):248–283.
10. World Health Organization. Policy brief on tuberculosis associated disability. Geneva, Switzerland; 2023.
11. Karanja S, et al. Stakeholder perspectives around post-TB wellbeing and care in Kenya and Malawi. PLOS Glob Public Heal. 2022;2(9):e0000510.
12. Harries AD, et al. Why TB programmes should assess for comorbidities, determinants and disability at the start and end of TB treatment. Int J Tuberc Lung Dis. 2023;27(7):495–8.
13. Lin Y, et al. Is It Feasible to Conduct Post-Tuberculosis Assessments at the End of Tuberculosis Treatment under Routine Programmatic Conditions in China? Trop Med Infect Dis. 2021;6(3):164.
14. Liu Y, et al. Managing Comorbidities, Determinants and Disability at Start and End of TB Treatment under Routine Program Conditions in China. Trop Med Infect Dis. 2023;8(7):341.
15. Ramsay A, et al. The Structured Operational Research and Training Initiative for public health programmes. Public Health Action. 2014;4(2):79–84.
16. TDR. SORT IT operational research and training [Internet]. 2023 [cited 2023 Dec 8]. Available from: https://tdr.who.int/activities/sort-it-operational-research-and-training
17. World Health Organization, International Diabetes Federation. Definition and diagnosis of diabetes mellitus and intermediate hyperglycaemia. Report of a WHO/IDF consultation. Geneva, Switzerland, 2006.
18. James PA, et al. 2014 evidence-based guideline for the management of high blood pressure in adults: report from the panel members appointed to the Eighth Joint National Committee (JNC 8). JAMA. 2014;311(5):507–20.
19. Maurer DM, Raymond TJ, Davis BN. Depression: Screening and Diagnosis. Am Fam Physician. 2018;98(8):508–15.
20. Dhalla S, Kopec JA. The CAGE questionnaire for alcohol misuse: a review of reliability and validity studies. Clin Invest Med. 2007;30(1):33–41.
21. Casano HAM, Anjum F. Six-Minute Walk Test. Treasure Island (FL): StatPearls Publishing; 2023.
22. Casanova C, et al. The 6-min walk distance in healthy subjects: reference standards from seven countries. Eur Respir J. 2011;37(1):150–6.
23. Harries AD, et al. Should we consider a “fourth 90” for tuberculosis? Int J Tuberc Lung Dis. 2019;23(12):1253–6.
24. World Health Organization. Rehabilitation 2030 [Internet]. 2023 [cited 2023 Dec 9]. Available from: https://www.who.int/initiatives/rehabilitation-2030
25. World Health Organization. The second United Nations high-level meeting on TB: new global pledge to end the TB epidemic [Internet]. 2023 [cited 2023 Dec 9]. Available from: https://www.who.int/teams/global-tuberculosis-programme/tb-reports/global-tuberculosis-report-2023/featured-topics/un-declaration-on-tb
26. von Elm E, et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Lancet. 2007;370(9596):1453–7.
27. Martinez L, et al. The Long-Term Impact of Early-Life Tuberculosis Disease on Child Health: A Prospective Birth Cohort Study. Am J Respir Crit Care Med. 2023;207(8).
28. Li L, et al. Screening of patients with tuberculosis for diabetes mellitus in China. Trop Med Int Heal. 2012;17(10):1294–301.
29. India Tuberculosis-Diabetes Study Group. Screening of patients with tuberculosis for diabetes mellitus in India. Trop Med Int Heal. 2013;18(5):636–45.
30. Lönnroth K, et al. A consistent log-linear relationship between tuberculosis incidence and body mass index. Int J Epidemiol. 2010;39(1):149–55.
31. Simou E, Britton J, Leonardi-Bee J. Alcohol consumption and risk of tuberculosis: a systematic review and meta-analysis. Int J Tuberc Lung Dis. 2018;22(11):1277–85.
32. Seegert AB, et al. Hypertension is associated with increased mortality in patients with tuberculosis in Guinea-Bissau. Int J Infect Dis. 2021;109:123–8.
33. Migliori GB, et al. Clinical standards for the assessment, management and rehabilitation of post-TB lung disease. Int J Tuberc lung Dis. 2021;25(10):797–813.
34. Harries AD, et al. Real-Time Operational Research: Case Studies from the Field of Tuberculosis and Lessons Learnt. Trop Med Infect Dis. 2021;6(2):97.
35. Zachariah R, et al. Investing in operational research capacity building for front-line health workers strengthens countries’ resilience to tackling the COVID-19 pandemic. Trop Med Infect Dis. 2020;5(3).
Table 1. Referral criteria for further care in TB patients aged ≥18 years who successfully completed TB treatment and were found with comorbidities, risk determinants and/or disability in selected health facilities in Kenya, Uganda, Zambia and Zimbabwe, June to December, 2023.
Condition |
Referral criteria |
Comorbidities |
|
HIV infection |
Known people living with HIV not on anti-retroviral treatment |
Diabetes mellitus/hyperglycemia |
|
High blood pressure |
|
Mental health disorder |
|
Risk determinants |
|
Probable alcohol dependence |
CAGE score 2 or higher |
Malnutrition |
BMI less than 18.5 kg/m2 |
Occupational exposure to silica |
Any occupational exposure to silica |
Smoking |
Any tobacco smoking in last one month |
Recreational drug use |
Current recreational drug or substance use |
Disability |
|
6MWT |
Walked less than 400 metres |
RBG- Random Blood Glucose; FBG- Fasting Blood Glucose; CAGE-Cut, Annoyed, Guilty, Eye questionnaire; BMI- Body Mass Index; SBP- Systolic Blood Pressure; DBP- Diastolic Blood Pressure; PHQ- Patient Health Questionnaire
Table 2. Demographic and clinical characteristics of TB patients aged ≥18 years who successfully completed TB treatment and were assessed for comorbidities, risk determinants and disability in selected health facilities in four African countries, June to December, 2023.
Characteristics |
n |
(%) |
Total |
1063 |
|
Country of recruitment |
|
|
Kenya |
126 |
(12) |
Uganda |
453 |
(42) |
Zambia |
316 |
(30) |
Zimbabwe |
168 |
(16) |
Age (in years) |
|
|
18-29 |
295 |
(28) |
30-44 |
478 |
(45) |
45-59 |
235 |
(22) |
≥60 |
55 |
(5) |
Sex |
|
|
Male |
691 |
(65) |
Female |
372 |
(35) |
Living area |
|
|
Urban |
1021 |
(96) |
Rural |
42 |
(4) |
Site of TB |
|
|
Pulmonary |
1018 |
(96) |
Extra pulmonary |
45 |
(4) |
Type of TB |
|
|
Bacteriologically confirmed |
739 |
(70) |
Clinically diagnosed |
324 |
(30) |
Category of TB |
|
|
New |
971 |
(91) |
Previously treated |
92 |
(9) |
Drug-susceptibility |
|
|
Sensitive |
1044 |
(98) |
RR/MDR TB |
19 |
(2) |
Duration for post-TB assessment (in minutes)1 |
|
|
<15 |
236 |
(22) |
15-29 |
470 |
(44) |
30-44 |
197 |
(19) |
≥45 |
160 |
(15) |
1Time taken to perform assessments of comorbidities, risk determinants and disability
Abbreviations: RR = rifampicin resistant; MDR = multi-drug resistant
Table 3. On-going symptoms, comorbidities, risk determinants and disability of TB patients aged ≥18 years who successfully completed TB treatment and were assessed for comorbidities, risk determinants and disability in selected health facilities in Kenya, Uganda, Zambia and Zimbabwe, June to December, 2023.
Category |
Variable |
n |
(%) |
Total |
|
1063 |
|
On-going symptoms |
|||
Symptoms suggestive of TB |
None |
784 |
(74) |
|
Any symptom1 |
279 |
(26) |
|
Cough |
126 |
(12) |
|
Shortness of breath |
40 |
(4) |
|
Tiredness / fatigue |
46 |
(4) |
|
Chest pain |
51 |
(5) |
|
Other2 |
97 |
(9) |
Comorbidities |
|||
HIV status |
Positive |
471 |
(44) |
|
Negative |
591 |
(56) |
|
Unknown |
1 |
(<1) |
Diabetes Mellitus (DM)/ hyperglycemia |
Already known |
23 |
(2) |
|
Tested for DM with either RBG/FBG |
962 |
(93)3 |
|
Newly detected hyperglycemia |
13 |
(1)4 |
|
Prevalent DM/ hyperglycemia (already known and new) |
36 |
(3) |
High blood pressure |
Already known |
48 |
(5) |
|
Newly detected |
124 |
(12)4 |
|
Prevalent high blood pressure (already known and new) |
172 |
(16) |
Mental health disorder |
Already known |
10 |
(1) |
|
Newly detected with probable depression |
33 |
(3) 4 |
|
Prevalent mental health disorder (already known and new probable depression) |
43 |
(4) |
Risk determinants |
|||
Probable alcohol dependence |
CAGE score ≥2 |
159 |
(15) |
Malnutrition |
BMI<18.5 kg/m2 |
146 |
(14) |
Silica dust |
Occupational exposure |
52 |
(5) |
Smoked tobacco |
Anytime in last one month |
53 |
(5) |
Recreational drug use |
Current use5 |
28 |
(3) |
Disability |
|||
6-minute walk test (6MWT) |
Done |
8826 |
(99) |
|
6MWT <400 meters |
151 |
(17) |
Multimorbidity |
|||
Comorbidity and/or risk determinant and/or disability |
None |
300 |
(28) |
One |
398 |
(38) |
|
Two |
224 |
(21) |
|
Three and above |
141 |
(13) |
1Some patients had multiple symptoms
2Other symptoms such as myalgia, joint pain, abdomen discomfort and numbness of hands/feet
3Percentages calculated with those not already known to have diabetes as denominator
4Percentages calculated with those who were not already known to have the condition and assessed for the condition as denominator
5Recreational drugs included marijuana, trihexyphenidyl, kuber (chewable nicotine)
6Only 882 patients underwent 6MWT among 895 patients recruited from Kenya, Uganda and Zambia
RBG- Random Blood Glucose; FBG- Fasting Blood Glucose; CAGE-Cut, Annoyed, Guilty, Eye questionnaire; BMI- Body Mass Index
Table 4. Characteristics associated with disability (6MWT <400 metres) in TB patients aged ≥18 years who successfully completed TB treatment in selected health facilities in Kenya, Uganda and Zambia, June to December, 2023.
Variable |
Total |
6MWT <400m |
Crude |
Adjusted |
|||
|
n |
n |
(%) |
PR |
(95% CI) |
aPR |
(95% CI) |
Total |
882 |
151 |
(17) |
|
|
|
|
Age in years |
|
|
|
|
|
|
|
18-29 |
261 |
27 |
(10) |
1 |
|
1 |
|
30-44 |
398 |
53 |
(13) |
1.3 |
(0.8-1.9) |
1.2 |
(0.7-1.8) |
45-59 |
186 |
50 |
(27) |
2.6 |
(1.7-3.9) |
2.2 |
(1.4-3.5) |
≥60 |
37 |
21 |
(57) |
5.5 |
(3.5-8.6) |
4.8 |
(2.9-7.7) |
Sex |
|
|
|
|
|
|
|
Male |
583 |
94 |
(16) |
1 |
|
1 |
|
Female |
299 |
57 |
(19) |
1.2 |
(0.8-1.6) |
1.2 |
(0.9-1.6) |
Site of TB |
|
|
|
|
|
|
|
Pulmonary |
852 |
145 |
(17) |
1 |
|
|
|
Extrapulmonary |
30 |
6 |
(20) |
1.2 |
(0.6-2.4) |
|
|
Type of TB |
|
|
|
|
|
|
|
Bacteriologically confirmed |
607 |
102 |
(17) |
1 |
|
|
|
Clinically diagnosed |
275 |
49 |
(18) |
1.1 |
(0.7-1.4) |
|
|
Category of TB |
|
|
|
|
|
|
|
New |
805 |
137 |
(17) |
1 |
|
|
|
Previously treated |
77 |
14 |
(18) |
1.1 |
(0.6-1.8) |
|
|
Drug-susceptibility |
|
|
|
|
|
|
|
Sensitive |
864 |
150 |
(17) |
3.1 |
(0.4-21.1) |
|
|
Resistant |
18 |
1 |
(6) |
1 |
|
|
|
HIV status |
|
|
|
|
|
|
|
Positive |
370 |
79 |
(21) |
1.5 |
(1.1-2.0) |
1.3 |
(0.9-1.9) |
Negative |
512 |
72 |
(14) |
1 |
|
1 |
|
Diabetes Mellitus/ hyperglycemia |
|
|
|
|
|
|
|
Yes |
28 |
6 |
(21) |
1.2 |
(0.6-2.6) |
|
|
No |
854 |
145 |
(17) |
1 |
|
|
|
High blood pressure |
|
|
|
|
|
|
|
Yes |
124 |
38 |
(31) |
2.1 |
(1.5-2.8) |
1.4 |
(0.9-2.2) |
No |
758 |
113 |
(15) |
1 |
|
1 |
|
Mental health disorder |
|
|
|
|
|
|
|
Yes |
37 |
14 |
(38) |
2.3 |
(1.5-3.6) |
2.4 |
(1.3-4.2) |
No |
845 |
137 |
(16) |
1 |
|
1 |
|
Probable alcohol dependence |
|
|
|
|
|
|
|
Yes |
143 |
32 |
(22) |
1.4 |
(0.9-1.9) |
1.6 |
(0.9-2.6) |
No |
739 |
119 |
(16) |
1 |
|
1 |
|
Malnutrition |
|
|
|
|
|
|
|
Yes |
135 |
24 |
(18) |
1.0 |
(0.7-1.5) |
|
|
No |
747 |
127 |
(17) |
1 |
|
|
|
Occupational exposure to silica |
|
|
|
|
|
|
|
Yes |
29 |
7 |
(24) |
1.4 |
(0.7-2.8) |
|
|
No |
853 |
144 |
(17) |
1 |
|
|
|
Smoked tobacco |
|
|
|
|
|
|
|
Yes |
43 |
4 |
(9) |
0.5 |
(0.2-1.4) |
0.4 |
(0.1-1.1) |
No |
839 |
147 |
(18) |
1 |
|
1 |
|
Recreational drug use |
|
|
|
|
|
|
|
Yes |
22 |
3 |
(14) |
0.8 |
(0.2-2.3) |
|
|
No |
860 |
148 |
(17) |
1 |
|
|
|
Multimorbidity (excluding 6MWT) |
|
|
|
|
|
|
|
None |
292 |
29 |
(10) |
1 |
|
1 |
|
One |
350 |
61 |
(17) |
1.7 |
(1.2-2.7) |
1.2 |
(0.7-1.9) |
Two |
165 |
44 |
(27) |
2.7 |
(1.7-4.1) |
1.2 |
(0.6-2.5) |
Three and above |
75 |
17 |
(23) |
2.3 |
(1.3-3.9) |
1.1 |
(0.4-3.1) |
PR- Prevalence ratio, aPR- Adjusted prevalence ratio; 6MWT- Six Minute Walk Test; CI = Confidence Interval
Table 5. Status of referral for further care in those identified with comorbidities, risk determinants and disability among TB patients aged ≥18 years who successfully completed TB treatment in selected health facilities in Kenya, Uganda, Zambia and Zimbabwe, June to December, 2023.
Conditions |
Eligible for referral1 |
Referred to care |
Referred within the same facility |
||
|
N |
n |
(%) |
n |
(%)2 |
Comorbidities |
|
|
|
|
|
Diabetes Mellitus/ hyperglycemia |
24 |
19 |
(79) |
15 |
(79) |
Hypertension |
165 |
154 |
(93) |
125 |
(81) |
HIV |
3 |
2 |
(67) |
2 |
(100) |
Mental health disorder |
38 |
37 |
(97) |
31 |
(84) |
Risk determinants |
|
|
|
|
|
Probable alcohol dependence |
159 |
126 |
(79) |
71 |
(56) |
Malnutrition |
146 |
124 |
(85) |
121 |
(98) |
Occupational exposure to silica |
52 |
40 |
(77) |
11 |
(28) |
Smoking |
53 |
42 |
(79) |
17 |
(40) |
Recreational drug use |
28 |
24 |
(86) |
12 |
(50) |
Disability |
|
|
|
|
|
6MWT <400 metres |
151 |
137 |
(91) |
28 |
(20) |
1For diabetes mellitus, hypertension and mental health disorder, patients who were newly diagnosed and patients who were known to have the condition but not on care or had uncontrolled disease were considered eligible for referral
2Percentages calculated with total referred for the condition as denominator
6MWT- Six Minute Walk Test.