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Turyahabwe S, Bamuloba M, Mugenyi L, Amanya G, Byaruhanga R, Imoko JF, Nakawooya M, Walusimbi S, Nidoi J, Burua A, Sekadde M, Muttamba W, Arinaitwe M, Henry L, Kengonzi R, Mudiope M, Kirenga BJ. Community tuberculosis screening, testing and care, Uganda. Bull World Health Organ 2024; 102:400-409. [PMID: 38812802 PMCID: PMC11132162 DOI: 10.2471/blt.23.290641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 01/14/2024] [Accepted: 02/29/2024] [Indexed: 05/31/2024] Open
Abstract
Objective To assess the effectiveness of a community-based tuberculosis and leprosy intervention in which village health teams and health workers conduct door-to-door tuberculosis screening, targeted screenings and contact tracing. Methods We conducted a before-and-after implementation study in Uganda to assess the effectiveness of the community tuberculosis intervention by looking at reach, outputs, adoption and effectiveness of the intervention. Campaign 1 was conducted in March 2022 and campaign 2 in September 2022. We calculated percentages of targets achieved and compared case notification rates during the intervention with corresponding quarters in the previous year. We also assessed the leprosy screening. Findings Over 5 days, campaign 1 screened 1 289 213 people (2.9% of the general population), of whom 179 144 (13.9%) fulfilled the presumptive tuberculosis criteria, and 4043 (2.3%) were diagnosed with bacteriologically-confirmed tuberculosis; 3710 (91.8%) individuals were linked to care. In campaign 2, 5 134 056 people (11.6% of the general population) were screened, detecting 428 444 (8.3%) presumptive tuberculosis patients and 8121 (1.9%) bacteriologically-confirmed tuberculosis patients; 5942 individuals (87.1%) were linked to care. The case notification rate increased from 48.1 to 59.5 per 100 000 population in campaign 1, with a case notification rate ratio of 1.24 (95% confidence interval, CI: 1.22-1.26). In campaign 2, the case notification rate increased from 45.0 to 71.6 per 100 000 population, with a case notification rate ratio of 1.59 (95% CI: 1.56-1.62). Of the 176 patients identified with leprosy, 137 (77.8%) initiated treatment. Conclusion This community tuberculosis screening initiative is effective. However, continuous monitoring and adaptations are needed to overcome context-specific implementation challenges.
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Affiliation(s)
- Stavia Turyahabwe
- National TB and Leprosy Program, Ministry of Health, Uganda, 6 Lourdel Road, Wandegeya, Kampala, Uganda
| | - Muzamiru Bamuloba
- National TB and Leprosy Program, Ministry of Health, Uganda, 6 Lourdel Road, Wandegeya, Kampala, Uganda
| | - Levicatus Mugenyi
- Department of Statistics, The Medical Research Council/Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine Uganda Research Unit, Entebbe, Uganda
| | - Geoffrey Amanya
- National TB and Leprosy Program, Ministry of Health, Uganda, 6 Lourdel Road, Wandegeya, Kampala, Uganda
| | - Raymond Byaruhanga
- National TB and Leprosy Program, Ministry of Health, Uganda, 6 Lourdel Road, Wandegeya, Kampala, Uganda
| | - Joseph Fry Imoko
- Department of Research and Innovation, Makerere University Lung Institute, Kampala, Uganda
| | - Mabel Nakawooya
- National TB and Leprosy Program, Ministry of Health, Uganda, 6 Lourdel Road, Wandegeya, Kampala, Uganda
| | - Simon Walusimbi
- Department of Research and Innovation, Makerere University Lung Institute, Kampala, Uganda
| | - Jasper Nidoi
- Department of Research and Innovation, Makerere University Lung Institute, Kampala, Uganda
| | - Aldomoro Burua
- National TB and Leprosy Program, Ministry of Health, Uganda, 6 Lourdel Road, Wandegeya, Kampala, Uganda
| | - Moorine Sekadde
- National TB and Leprosy Program, Ministry of Health, Uganda, 6 Lourdel Road, Wandegeya, Kampala, Uganda
| | - Winters Muttamba
- Department of Research and Innovation, Makerere University Lung Institute, Kampala, Uganda
| | - Moses Arinaitwe
- National TB and Leprosy Program, Ministry of Health, Uganda, 6 Lourdel Road, Wandegeya, Kampala, Uganda
| | - Luzze Henry
- National TB and Leprosy Program, Ministry of Health, Uganda, 6 Lourdel Road, Wandegeya, Kampala, Uganda
| | - Rose Kengonzi
- National TB and Leprosy Program, Ministry of Health, Uganda, 6 Lourdel Road, Wandegeya, Kampala, Uganda
| | - Mary Mudiope
- Department of Health Systems Strengthening, Infectious Diseases Institute, Kampala, Uganda
| | - Bruce J Kirenga
- Department of Research and Innovation, Makerere University Lung Institute, Kampala, Uganda
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Mulaku MN, Ochodo E, Young T, Steingart KR. Pre-treatment loss to follow-up in adults with pulmonary TB in Kenya. Public Health Action 2024; 14:34-39. [PMID: 38798784 PMCID: PMC11122711 DOI: 10.5588/pha.23.0059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 01/25/2024] [Indexed: 05/29/2024] Open
Abstract
SETTING County referral hospital in western Kenya. OBJECTIVES To ascertain the proportion of pre-treatment loss to follow-up (PTLFU) and associated patient factors in adults with pulmonary TB (PTB) in western Kenya. DESIGN A retrospective data review of laboratory and treatment registers for adults with bacteriologically confirmed PTB between January 2018 to December 2021. We defined PTLFU as failure to initiate treatment within 14 days of diagnosis. We used multivariable logistic regression modelling to identify patient factors associated with PTLFU. RESULTS Of 476 patients with PTB, 67.2% were male; the mean age was 36.1 years; 37.0% were HIV-positive; 5.7% had a history of anti-TB treatment; 40.6% were not traceable in the treatment register; 202 (42.4%, 95% CI 38.1-46.9) experienced PTLFU. Age ≥55 years (aOR 2.6, 95% CI 1.0-6.7) and providing only an address (aOR 34.2, 95% CI 18.7-62.5) or only a telephone contact number (aOR 22.3, 95% CI 3.5-141.1) were associated with PTLFU. Sex, HIV status, history of anti-TB treatment and place of residence were not associated with PTLFU. CONCLUSION PTLFU contributes markedly to TB patient losses in western Kenya. Strengthening systems for documenting patient information and actively monitoring PTLFU are crucial for attrition reduction.
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Affiliation(s)
- M N Mulaku
- Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya
- Centre for Evidence-based Health Care, Division of Epidemiology and Biostatistics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
- Department of Pharmacology, Clinical Pharmacy, and Pharmacy Practice, Faculty of Health Sciences, University of Nairobi, Nairobi, Kenya
| | - E Ochodo
- Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya
- Centre for Evidence-based Health Care, Division of Epidemiology and Biostatistics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - T Young
- Centre for Evidence-based Health Care, Division of Epidemiology and Biostatistics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - K R Steingart
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
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Brümmer LE, Thompson RR, Malhotra A, Shrestha S, Kendall EA, Andrews JR, Phillips P, Nahid P, Cattamanchi A, Marx FM, Denkinger CM, Dowdy DW. Cost-effectiveness of Low-complexity Screening Tests in Community-based Case-finding for Tuberculosis. Clin Infect Dis 2024; 78:154-163. [PMID: 37623745 PMCID: PMC10810711 DOI: 10.1093/cid/ciad501] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 07/18/2023] [Accepted: 08/22/2023] [Indexed: 08/26/2023] Open
Abstract
INTRODUCTION In high-burden settings, low-complexity screening tests for tuberculosis (TB) could expand the reach of community-based case-finding efforts. The potential costs and cost-effectiveness of approaches incorporating these tests are poorly understood. METHODS We developed a microsimulation model assessing 3 approaches to community-based case-finding in hypothetical populations (India-, South Africa-, The Philippines-, Uganda-, and Vietnam-like settings) with TB prevalence 4 times that of national estimates: (1) screening with a point-of-care C-reactive protein (CRP) test, (2) screening with a more sensitive "Hypothetical Screening test" (95% sensitive for Xpert Ultra-positive TB, 70% specificity; equipment/labor costs similar to Xpert Ultra, but using a $2 cartridge) followed by sputum Xpert Ultra if positive, or (3) testing all individuals with sputum Xpert Ultra. Costs are expressed in 2023 US dollars and include treatment costs. RESULTS Universal Xpert Ultra was estimated to cost a mean $4.0 million (95% uncertainty range: $3.5 to $4.6 million) and avert 3200 (2600 to 3900) TB-related disability-adjusted life years (DALYs) per 100 000 people screened ($670 [The Philippines] to $2000 [Vietnam] per DALY averted). CRP was projected to cost $550 (The Philippines) to $1500 (Vietnam) per DALY averted but with 44% fewer DALYs averted. The Hypothetical Screening test showed minimal benefit compared to universal Xpert Ultra, but if specificity were improved to 95% and per-test cost to $4.5 (all-inclusive), this strategy could cost $390 (The Philippines) to $940 (Vietnam) per DALY averted. CONCLUSIONS Screening tests can meaningfully improve the cost-effectiveness of community-based case-finding for TB but only if they are sensitive, specific, and inexpensive.
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Affiliation(s)
- Lukas E Brümmer
- Division of Infectious Disease and Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany
- German Center for Infection Research (DZIF), partner site Heidelberg, Heidelberg University Hospital, Heidelberg, Germany
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Ryan R Thompson
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Akash Malhotra
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Sourya Shrestha
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Emily A Kendall
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Center for Tuberculosis Research, Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Jason R Andrews
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, San Francisco, California, USA
| | - Patrick Phillips
- Center for Tuberculosis, Division of Pulmonary and Critical Care Medicine, University of California, San Francisco, California, USA
| | - Payam Nahid
- Center for Tuberculosis, Division of Pulmonary and Critical Care Medicine, University of California, San Francisco, California, USA
| | - Adithya Cattamanchi
- Center for Tuberculosis, Division of Pulmonary and Critical Care Medicine, University of California, San Francisco, California, USA
- Division of Pulmonary Diseases and Critical Care Medicine, University of California Irvine, Irvine, California, USA
| | - Florian M Marx
- Division of Infectious Disease and Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany
- German Center for Infection Research (DZIF), partner site Heidelberg, Heidelberg University Hospital, Heidelberg, Germany
| | - Claudia M Denkinger
- Division of Infectious Disease and Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany
- German Center for Infection Research (DZIF), partner site Heidelberg, Heidelberg University Hospital, Heidelberg, Germany
| | - David W Dowdy
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
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Meehan SA, Hesseling AC, Boulle A, Chetty J, Connell L, Dlamini-Miti NJ, Dunbar R, Du Preez K, George G, Hoddinott G, Jennings K, Marx FM, Mudaly V, Naidoo P, Ndlovu N, Ngozo J, Smith M, Strauss M, Tanna G, Vanqa N, von Delft A, Osman M. Reducing Initial Loss to Follow-up Among People With Bacteriologically Confirmed Tuberculosis: LINKEDin, a Quasi-experimental Study in South Africa. Open Forum Infect Dis 2024; 11:ofad648. [PMID: 38221986 PMCID: PMC10787480 DOI: 10.1093/ofid/ofad648] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 12/16/2023] [Indexed: 01/16/2024] Open
Abstract
Every person diagnosed with tuberculosis (TB) needs to initiate treatment. The World Health Organization estimated that 61% of people who developed TB in 2021 were included in a TB treatment registration system. Initial loss to follow-up (ILTFU) is the loss of persons to care between diagnosis and treatment initiation/registration. LINKEDin, a quasi-experimental study, evaluated the effect of 2 interventions (hospital recording and an alert-and-response patient management intervention) in 6 subdistricts across 3 high-TB burden provinces of South Africa. Using integrated electronic reports, we identified all persons diagnosed with TB (Xpert MTB/RIF positive) in the hospital and at primary health care facilities. We prospectively determined linkage to care at 30 days after TB diagnosis. We calculated the risk of ILTFU during the baseline and intervention periods and the relative risk reduction in ILTFU between these periods. We found a relative reduction in ILTFU of 42.4% (95% CI, 28.5%-53.7%) in KwaZulu Natal (KZN) and 22.3% (95% CI, 13.3%-30.4%) in the Western Cape (WC), with no significant change in Gauteng. In KZN and the WC, the relative reduction in ILTFU appeared greater in subdistricts where the alert-and-response patient management intervention was implemented (KZN: 49.3%; 95% CI, 32.4%-62%; vs 32.2%; 95% CI, 5.4%-51.4%; and WC: 34.2%; 95% CI, 20.9%-45.3%; vs 13.4%; 95% CI, 0.7%-24.4%). We reported a notable reduction in ILTFU in 2 provinces using existing routine health service data and applying a simple intervention to trace and recall those not linked to care. TB programs need to consider ILTFU a priority and develop interventions specific to their context to ensure improved linkage to care.
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Affiliation(s)
- Sue-Ann Meehan
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Anneke C Hesseling
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Andrew Boulle
- Centre for Infectious Disease Epidemiology and Research, School of Public Health and Family Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
- Department of Health and Wellness, Health Intelligence Directorate, Western Cape Government, Cape Town, South Africa
| | - Jolene Chetty
- Interactive Research and Development South Africa (IRD SA), Sandton, Johannesburg
| | - Lucy Connell
- Right to Care South Africa, Helen Joseph Hospital, Johannesburg, South Africa
| | | | - Rory Dunbar
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Karen Du Preez
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Gavin George
- Health Economics and HIV and AIDS Research Division (HEARD), University of KwaZulu-Natal, Durban, South Africa
- Division of Social Medicine and Global Health, Lund University, Lund, Sweden
| | - Graeme Hoddinott
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Karen Jennings
- City of Cape Town Health Department, Cape Town, South Africa
| | - Florian M Marx
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- Division of Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany
- DSI-NRF South African Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, South Africa
| | - Vanessa Mudaly
- Department of Health and Wellness, Western Cape Government, Cape Town, South Africa
| | - Pren Naidoo
- Bill and Melinda gates Foundation, Johannesburg, South Africa
| | - Neo Ndlovu
- Right to Care South Africa, Helen Joseph Hospital, Johannesburg, South Africa
| | - Jacqueline Ngozo
- Kwa-Zulu Natal Department of Health and Wellness, Pietermaritzburg, South Africa
| | - Mariette Smith
- Centre for Infectious Disease Epidemiology and Research, School of Public Health and Family Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
- Department of Health and Wellness, Health Intelligence Directorate, Western Cape Government, Cape Town, South Africa
| | - Michael Strauss
- Health Economics and HIV and AIDS Research Division (HEARD), University of KwaZulu-Natal, Durban, South Africa
| | - Gaurang Tanna
- Bill and Melinda gates Foundation, Johannesburg, South Africa
| | - Nosivuyile Vanqa
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Arne von Delft
- Centre for Infectious Disease Epidemiology and Research, School of Public Health and Family Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
- Department of Health and Wellness, Health Intelligence Directorate, Western Cape Government, Cape Town, South Africa
| | - Muhammad Osman
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- School of Human Sciences, University of Greenwich, London, UK
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Mulaku MN, Nyagol B, Owino EJ, Ochodo E, Young T, Steingart KR. Factors contributing to pre-treatment loss to follow-up in adults with pulmonary tuberculosis: a qualitative evidence synthesis of patient and healthcare worker perspectives. Glob Health Action 2023; 16:2148355. [PMID: 36548521 PMCID: PMC9788701 DOI: 10.1080/16549716.2022.2148355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 11/12/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Since 2018, over 14 million people have been treated for tuberculosis (TB) globally. However, pre-treatment loss to follow-up (PTLFU) has been shown to contribute substantially to patient losses in the TB care cascade with subsequent high community transmission and mortality rates. OBJECTIVE To identify, appraise, and synthesise evidence on the perspectives of patients and healthcare workers on factors contributing to PTLFU in adults with pulmonary TB. METHODS We registered the title with PROSPERO (CRD42021253212). We searched nine relevant databases up to 24 May 2021 for qualitative studies. Two review authors independently reviewed records for eligibility and extracted data. We assessed methodological quality with the Evidence for Policy and Practice Information Centre tool and synthesised data using the Supporting the Use of Research Evidence framework. We assessed confidence in our findings using Confidence in the Evidence from Reviews of Qualitative Research (GRADE-CERQual). RESULTS We reviewed a total of 1239 records and included five studies, all from low- and middle-income countries. Key themes reported by patients and healthcare workers were communication challenges among healthcare workers and between healthcare workers and patients; knowledge, attitudes, and behaviours about TB and its management; accessibility and availability of facilities for TB care; and human resource and financial constraints, weakness in management and leadership in TB programmes. Patients' change of residence, long waiting times, and poor referral systems were additional factors that contributed to patients disengaging from care. We had moderate confidence in most of our findings. CONCLUSION Findings from our qualitative evidence synthesis highlight multiple factors that contribute to PTLFU. Central to addressing these factors will be the need to strengthen health systems and offer people-centred care.
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Affiliation(s)
- Mercy Namuma Mulaku
- Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya
- Centre for Evidence-based Health Care, Division of Epidemiology and Biostatistics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- Department of Pharmacy, Faculty of Health Sciences, University of Nairobi, Nairobi, Kenya
| | - Bruce Nyagol
- Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya
| | - Eddy Johnson Owino
- Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya
| | - Eleanor Ochodo
- Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya
- Centre for Evidence-based Health Care, Division of Epidemiology and Biostatistics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Taryn Young
- Centre for Evidence-based Health Care, Division of Epidemiology and Biostatistics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Karen R Steingart
- Honorary Research Fellow, Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
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Faust L, Naidoo P, Caceres-Cardenas G, Ugarte-Gil C, Muyoyeta M, Kerkhoff AD, Nagarajan K, Satyanarayana S, Rakotosamimanana N, Grandjean Lapierre S, Adejumo OA, Kuye J, Oga-Omenka C, Pai M, Subbaraman R. Improving measurement of tuberculosis care cascades to enhance people-centred care. THE LANCET. INFECTIOUS DISEASES 2023; 23:e547-e557. [PMID: 37652066 DOI: 10.1016/s1473-3099(23)00375-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 06/01/2023] [Accepted: 06/08/2023] [Indexed: 09/02/2023]
Abstract
Care cascades represent the proportion of people reaching milestones in care for a disease and are widely used to track progress towards global targets for HIV and other diseases. Despite recent progress in estimating care cascades for tuberculosis (TB) disease, they have not been routinely applied at national and subnational levels, representing a lost opportunity for public health impact. As researchers who have estimated TB care cascades in high-incidence countries (India, Madagascar, Nigeria, Peru, South Africa, and Zambia), we describe the utility of care cascades and identify measurement challenges, including the lack of population-based disease burden data and electronic data capture, the under-reporting of people with TB navigating fragmented and privatised health systems, the heterogeneity of TB tests, and the lack of post-treatment follow-up. We outline an agenda for rectifying these gaps and argue that improving care cascade measurement is crucial to enhancing people-centred care and achieving the End TB goals.
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Affiliation(s)
- Lena Faust
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada; McGill International TB Centre, Montréal, QC, Canada
| | - Pren Naidoo
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | | | - César Ugarte-Gil
- Instituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru; School of Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru; TB Centre, London School of Hygiene & Tropical Medicine, London, UK
| | - Monde Muyoyeta
- Tuberculosis Department, Center for Infectious Disease Research in Zambia, Lusaka, Zambia
| | - Andrew D Kerkhoff
- Division of HIV, Infectious Diseases and Global Medicine, Zuckerberg San Francisco General Hospital and Trauma Center, University of California San Francisco, San Francisco, CA, USA
| | - Karikalan Nagarajan
- Department of Social and Behavioural Research, ICMR-National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India
| | - Srinath Satyanarayana
- Centre for Operational Research, International Union Against Tuberculosis and Lung Disease (The Union), Paris, France; South-East Asia Office, International Union Against Tuberculosis and Lung Disease (The Union), New Delhi, India
| | | | - Simon Grandjean Lapierre
- McGill International TB Centre, Montréal, QC, Canada; Mycobacteriology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar; Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, QC, Canada; Department of Microbiology, Infectious Diseases and Immunology, Université de Montréal, Montréal, QC, Canada
| | | | - Joseph Kuye
- National Tuberculosis and Leprosy Control Program, Abuja, Nigeria
| | - Charity Oga-Omenka
- School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada
| | - Madhukar Pai
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada; McGill International TB Centre, Montréal, QC, Canada
| | - Ramnath Subbaraman
- Department of Public Health and Community Medicine and Center for Global Public Health, Tufts University School of Medicine, Boston, MA, USA; Division of Geographic Medicine and Infectious Diseases, Tufts Medical Center, Boston, MA, USA.
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7
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Mulaku MN, Corrie OM, Odero I, Young T, Steingart KR, Ochodo E. Health worker views on pre-treatment loss to follow-up in adults with pulmonary TB in Western Kenya. Public Health Action 2023; 13:77-82. [PMID: 37736575 PMCID: PMC10446661 DOI: 10.5588/pha.23.0016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 05/22/2023] [Indexed: 09/23/2023] Open
Abstract
SETTING County referral hospital in Western Kenya. OBJECTIVES To explore factors contributing to pre-treatment loss to follow-up (PTLFU) in adults with pulmonary TB and propose solutions to address PTLFU from healthcare worker (HCW) perspectives. DESIGN This was an exploratory qualitative study using thematic analysis. RESULTS We conducted 19 key informant interviews with HCWs representing laboratory, clinical care, management and the community. Participant age ranged from 26 to 62 years; 14 (74%) were females; and most (74%) had worked in TB care for ⩽5 years. They reported that patients experienced stigma and had misconceptions about TB that contributed to PTLFU. HCWs were hesitant to work in the TB clinic, which contributed to suboptimal patient care, leading to PTLFU. Unclear linkage between laboratory and clinician, and limited financial resources to track patients were among the healthcare system factors that led to PTLFU. HCWs suggested having proper patient preparation, assigning resources to track patients and holding regular interdisciplinary meetings as practical solutions to address PTLFU. CONCLUSION HCWs reported multiple factors that may influence PTLFU and recommended various solutions to address these. Knowledge of TB management, patient preparation, resources to track patients and multidisciplinary meetings will be central to addressing PTLFU.
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Affiliation(s)
- M N Mulaku
- Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya
- Centre for Evidence-based Health Care, Division of Epidemiology and Biostatistics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
- Department of Pharmacology, Clinical Pharmacy, and Pharmacy Practice, Faculty of Health Sciences, University of Nairobi, Nairobi, Kenya
| | - O M Corrie
- Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya
| | - I Odero
- Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya
| | - T Young
- Centre for Evidence-based Health Care, Division of Epidemiology and Biostatistics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - K R Steingart
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| | - E Ochodo
- Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya
- Centre for Evidence-based Health Care, Division of Epidemiology and Biostatistics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
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8
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Jackson P, Muyanja SZ, Siddharthan T. Health Equity and Respiratory Diseases in Low- and Middle-Income Countries. Clin Chest Med 2023; 44:623-634. [PMID: 37517840 DOI: 10.1016/j.ccm.2023.03.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/01/2023]
Abstract
Over 80% of the morbidity and mortality related to acute and chronic respiratory diseases occur in low- and middle-income countries (LMICs), a reflection of vast disparities in care for these conditions. Over the next decade, the prevalence of respiratory diseases is expected to increase, as population growth in LMICs exceeds high-income countries (HICs). Pediatric morbidity and mortality from lower respiratory tract infections and asthma occur almost exclusively in LMICs, contributing to a greater loss of quality adjusted life years from these conditions when compared with HICs.
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Affiliation(s)
- Peter Jackson
- Division of Pulmonary and Critical Care Medicine, Virginia Commonwealth University, 1200 East Broad Street, Box 980050, Richmond, VA 23298, USA
| | | | - Trishul Siddharthan
- Division of Pulmonary and Critical Care Medicine, University of Miami, 1951 Northwest 7th Avenue, Miami, FL 33136, USA.
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Spooner E, Reddy S, Ntoyanto S, Sakadavan Y, Reddy T, Mahomed S, Mlisana K, Dlamini M, Daniels B, Luthuli N, Ngomane N, Kiepiela P, Coutsoudis A. TB testing in HIV-positive patients prior to antiretroviral treatment. Int J Tuberc Lung Dis 2022; 26:224-231. [PMID: 35197162 PMCID: PMC8886959 DOI: 10.5588/ijtld.21.0195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND: TB diagnosis in patients with HIV is challenging due to the lower sensitivities across tests. Molecular tests are preferred and the Xpert® MTB/RIF assay has limitations in lower-income settings. We evaluated the performance of loop-mediated isothermal amplification (LAMP) and the lipoarabinomannan (LAM) test in HIV-positive, ART-naïve clinic patients.METHODS: A total of 783 eligible patients were enrolled; three spot sputum samples of 646 patients were tested using TB-LAMP, Xpert, smear microscopy and culture, while 649 patients had TB-LAM testing. Sensitivity, specificity, and negative and positive predictive values were estimated with 95% confidence intervals.RESULTS: Sensitivities for smear microscopy, TB-LAMP and Xpert were respectively 50%, 63% and 74% compared to culture, with specificities of respectively 99.2%, 98.5% and 97.5%. An additional eight were positive on TB-LAM alone. Seventy TB patients (9%) were detected using standard-of-care testing, an additional 27 (3%) were detected using study testing. Treatment was initiated in 57/70 (81%) clinic patients, but only in 56% (57/97) of all those with positive TB tests; 4/8 multidrug-resistant samples were detected using Xpert.CONCLUSION: TB diagnostics continue to miss cases in this high-burden setting. TB-LAMP was more sensitive than smear microscopy, and if followed by culture and drug susceptibility testing as required, can diagnose TB in HIV-positive patients. TB-LAM is a useful add-in test and both tests at the point-of-care would maximise yield.
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Affiliation(s)
- E Spooner
- Department of Paediatrics and Child Health, University of KwaZulu-Natal, Durban, South Africa, HIV Prevention Research Unit, South African Medical Research Council, Durban, South Africa
| | - S Reddy
- South African Medical Research Council, Durban, South Africa
| | - S Ntoyanto
- HIV Prevention Research Unit, South African Medical Research Council, Durban, South Africa
| | - Y Sakadavan
- HIV Prevention Research Unit, South African Medical Research Council, Durban, South Africa
| | - T Reddy
- Biostatistics Unit, South African Medical Research Council, Durban, South Africa
| | - S Mahomed
- School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa, Medical Microbiology Department, National Health Laboratory Services, Durban, South Africa, Centre for AIDS Programme Research in South Africa, Durban, South Africa
| | - K Mlisana
- School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa, Medical Microbiology Department, National Health Laboratory Services, Durban, South Africa
| | - M Dlamini
- Medical Microbiology Department, National Health Laboratory Services, Durban, South Africa
| | - B Daniels
- HIV Prevention Research Unit, South African Medical Research Council, Durban, South Africa
| | - N Luthuli
- EThekwini Health Unit, EThekwini Municipality, Durban, South Africa
| | - N Ngomane
- Occupational Health, Durban, South Africa
| | - P Kiepiela
- South African Medical Research Council, Durban, South Africa
| | - A Coutsoudis
- Department of Paediatrics and Child Health, University of KwaZulu-Natal, Durban, South Africa
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Zawedde-Muyanja S, Musaazi J, Castelnuovo B, Cattamanchi A, Katamba A, Manabe YC. Feasibility of a multifaceted intervention to improve treatment initiation among patients diagnosed with TB using Xpert MTB/RIF testing in Uganda. PLoS One 2022; 17:e0265035. [PMID: 35714072 PMCID: PMC9491700 DOI: 10.1371/journal.pone.0265035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 02/22/2022] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND One in five patients diagnosed with TB in Uganda are not initiated on TB treatment within two weeks of diagnosis. We evaluated a multifaceted intervention for improving TB treatment initiation among patients diagnosed with TB using Xpert® MTB/RIF testing in Uganda. METHODS This was a pre-post interventional study at one tertiary referral hospital. The intervention was informed by the COM-B model and included; i) medical education sessions to improve healthcare worker knowledge about the magnitude and consequences of pretreatment loss to follow-up; ii) modified laboratory request forms to improve recording of patient contact information; and iii) re-designed workflow processes to improve timeliness of sputum testing and results dissemination. TB diagnostic process and outcome data were collected and compared from the period before (June to August 2019) and after (October to December 2019) intervention initiation. RESULTS In September 2019, four CME sessions were held at the hospital and were attended by 58 healthcare workers. During the study period, 1242 patients were evaluated by Xpert® MTB/RIF testing at the hospital (679 pre and 557 post intervention). Median turnaround time for sputum test results improved from 12 hours (IQR 4-46) in the pre-intervention period to 4 hours (IQR 3-6) in the post-intervention period. The proportion of patients started on treatment within two weeks of diagnosis improved from 59% (40/68) to 89% (49/55) (difference 30%, 95% CI 14%-43%, p<0.01) while the proportion of patients receiving a same-day diagnosis increased from 7.4% (5/68) to 25% (14/55) (difference 17.6%, 95% CI 3.9%-32.7%, p<0.01). CONCLUSION The multifaceted intervention was feasible and resulted in a higher proportion of patients initiating TB treatment within two weeks of diagnosis.
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Affiliation(s)
- Stella Zawedde-Muyanja
- The Infectious Diseases Institute, College of Health Sciences, Makerere
University, Kampala, Uganda
- * E-mail:
| | - Joseph Musaazi
- The Infectious Diseases Institute, College of Health Sciences, Makerere
University, Kampala, Uganda
| | - Barbara Castelnuovo
- The Infectious Diseases Institute, College of Health Sciences, Makerere
University, Kampala, Uganda
| | - Adithya Cattamanchi
- Division of Pulmonary and Critical Care Medicine and Center for
Tuberculosis, University of California San Francisco, San Francisco, California,
United States of America
| | - Achilles Katamba
- Department of Medicine, School of Medicine, Makerere University College
of Health Sciences, Kampala, Uganda
| | - Yukari C. Manabe
- The Infectious Diseases Institute, College of Health Sciences, Makerere
University, Kampala, Uganda
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins
University School of Medicine, Baltimore, Maryland, United States of
America
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11
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Bukundi EM, Mhimbira F, Kishimba R, Kondo Z, Moshiro C. Mortality and associated factors among adult patients on tuberculosis treatment in Tanzania: A retrospective cohort study. J Clin Tuberc Other Mycobact Dis 2021; 24:100263. [PMID: 34355068 PMCID: PMC8322306 DOI: 10.1016/j.jctube.2021.100263] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022] Open
Abstract
INTRODUCTION Tuberculosis (TB) is the global leading cause of death from an infectious agent. Tanzania is among the 30 high TB burden countries with a mortality rate of 47 per 100,000 population and a case fatality of 4%. This study assessed mortality rate, survival probabilities, and factors associated with death among adult TB patients on TB treatment in Tanzania. METHODS A retrospective cohort study was conducted utilizing case-based national TB program data of adult (≥15 years) TB cases enrolled on TB treatment from January 2017 to December 2017. We determined survival probabilities using the Kaplan-Meier estimator and a Cox proportional hazard model was used to identify independent risk factors of TB mortality. Hazard ratios and their respective 95% confidence intervals were reported. RESULTS Of 53,753 adult TB patients, 1927 (3.6%) died during TB treatment and the crude mortality rate was 6.31 per 1000 person-months. Male accounted for 33,297 (61.9%) of the study population and the median (interquartile range [IQR]) age was 40 (30-53) years. More than half 1027 (56.7%) of deaths occurred in first two months of treatment. Overall survival probabilities were 96%, and 92% at 6th and 12th month respectively. The independent risk factors for TB mortality among TB patients included: advanced age ≥ 45 years (adjusted hazard ratio (aHR) = 1.74, 95% confidence interval (CI) = 1.45-2.08); receiving service at the hospital level (aHR = 1.22, 95% CI = 1.09-1.36); TB/HIV co-infection (aHR = 2.51, 95% CI = 2.26-2.79); facility-based direct observed therapy (DOT) option (aHR = 2.23, 95% CI = 1.95-2.72); having bacteriological unconfirmed TB results (aHR = 1.58, 95% CI = 1.42-1.76); and other referral type (aHR = 1.44, 95% CI = 1.16-1.78). CONCLUSION Advanced age, TB/HIV co-infection, bacteriological unconfirmed TB results, other referral types, receiving service at facility-based DOT option and obtaining service at the hospital level were significant contributors to TB death in Tanzania. Appropriate targeted intervention to improve TB referral systems, improve diagnostic capacity in the primary health facilities, minimize delay and misdiagnosis of TB patients might reduce TB mortality.
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Affiliation(s)
- Elias M. Bukundi
- Department of Epidemiology and Biostatistics, School of Public Health and Social Sciences, Muhimbili University of Health and Allied Sciences, Tanzania
- Tanzania Field Epidemiology and Laboratory Training Programme, Tanzania
| | - Francis Mhimbira
- Department of Epidemiology and Biostatistics, School of Public Health and Social Sciences, Muhimbili University of Health and Allied Sciences, Tanzania
- Ifakara Health Institute, Tanzania
| | - Rogath Kishimba
- Tanzania Field Epidemiology and Laboratory Training Programme, Tanzania
| | - Zuweina Kondo
- National Tuberculosis and Leprosy Programme, Ministry of Health, Community Development, Gender, Elderly and Children, Tanzania
| | - Candida Moshiro
- Department of Epidemiology and Biostatistics, School of Public Health and Social Sciences, Muhimbili University of Health and Allied Sciences, Tanzania
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12
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Osman M, Meehan SA, von Delft A, Du Preez K, Dunbar R, Marx FM, Boulle A, Welte A, Naidoo P, Hesseling AC. Early mortality in tuberculosis patients initially lost to follow up following diagnosis in provincial hospitals and primary health care facilities in Western Cape, South Africa. PLoS One 2021; 16:e0252084. [PMID: 34125843 PMCID: PMC8202951 DOI: 10.1371/journal.pone.0252084] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Accepted: 05/06/2021] [Indexed: 11/18/2022] Open
Abstract
In South Africa, low tuberculosis (TB) treatment coverage and high TB case fatality remain important challenges. Following TB diagnosis, patients must link with a primary health care (PHC) facility for initiation or continuation of antituberculosis treatment and TB registration. We aimed to evaluate mortality among TB patients who did not link to a TB treatment facility for TB treatment within 30 days of their TB diagnosis, i.e. who were “initial loss to follow-up (ILTFU)” in Cape Town, South Africa. We prospectively included all patients with a routine laboratory or clinical diagnosis of TB made at PHC or hospital level in Khayelitsha and Tygerberg sub-districts in Cape Town, using routine TB data from an integrated provincial health data centre between October 2018 and March 2020. Overall, 74% (10,208/13,736) of TB patients were diagnosed at PHC facilities and ILTFU was 20.0% (2,742/13,736). Of ILTFU patients, 17.1% (468/2,742) died, with 69.7% (326/468) of deaths occurring within 30 days of diagnosis. Most ILTFU deaths (85.5%; 400/468) occurred in patients diagnosed in hospital. Multivariable logistic regression identified increasing age, HIV positive status, and hospital-based TB diagnosis (higher in the absence of TB treatment initiation and being ILTFU) as predictors of mortality. Although hospitals account for a modest proportion of diagnosed TB patients they have high TB-associated mortality. A hospital-based TB diagnosis is a critical opportunity to identify those at high risk of early and overall mortality. Interventions to diagnose TB before hospital admission, improve linkage to TB treatment following diagnosis, and reduce mortality in hospital-diagnosed TB patients should be prioritised.
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Affiliation(s)
- Muhammad Osman
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- * E-mail:
| | - Sue-Ann Meehan
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Arne von Delft
- Centre for Infectious Disease Epidemiology and Research, School of Public Health and Family Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
- Department of Health, Health Impact Assessment Directorate, Western Cape Government, Cape Town, South Africa
| | - Karen Du Preez
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Rory Dunbar
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Florian M. Marx
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- DSI-NRF South African Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, South Africa
| | - Andrew Boulle
- Centre for Infectious Disease Epidemiology and Research, School of Public Health and Family Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
- Department of Health, Health Impact Assessment Directorate, Western Cape Government, Cape Town, South Africa
| | - Alex Welte
- DSI-NRF South African Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, South Africa
| | - Pren Naidoo
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Anneke C. Hesseling
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
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