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Kuppermann M, Pressman A, Coleman-Phox K, Afulani P, Blebu B, Carraway K, Butcher BC, Curry V, Downer C, Edwards B, Felder JN, Fontenot J, Garza MA, Karasek D, Lessard L, Martinez E, McCulloch CE, Oberholzer C, Ramirez GR, Tesfalul M, Wiemann A. A randomized comparative-effectiveness study of two enhanced prenatal care models for low-income pregnant people: Engaging Mothers & Babies; Reimagining Antenatal Care for Everyone (EMBRACE). Contemp Clin Trials 2024; 143:107568. [PMID: 38750950 DOI: 10.1016/j.cct.2024.107568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 04/18/2024] [Accepted: 05/04/2024] [Indexed: 06/02/2024]
Abstract
BACKGROUND Improving perinatal mental health and care experiences and preventing adverse maternal and infant outcomes are essential prenatal care components, yet existing services often miss the mark, particularly for low-income populations. An enhanced group prenatal care program, "Glow! Group Prenatal Care and Support," was developed in California's Central Valley in response to poor perinatal mental health, disrespectful care experiences, and high rates of adverse birth outcomes among families with low incomes. METHODS Engaging Mothers & Babies; Reimagining Antenatal Care for Everyone (EMBRACE) is a pragmatic, two-arm, randomized, comparative-effectiveness study designed to assess depression (primary outcome), the experience of care (secondary outcome), and preterm birth (exploratory outcome) among Medi-Cal (California's Medicaid program)-eligible pregnant and birthing people, comparing those assigned to Glow! Group Prenatal Care and Support (Glow/GC) with those assigned to enhanced, individual prenatal care through the California Department of Public Health's Comprehensive Perinatal Services Program (CPSP/IC). Participating clinical practices offer the two comparators, alternating between comparators every 6 weeks, with the starting comparator randomized at the practice level. Participant-reported outcomes are assessed through interviewer-administered surveys at study entry, during the participant's third trimester, and at 3 months postpartum; preterm birth and other clinical outcomes are abstracted from labor and delivery records. Patient care experiences are further assessed in qualitative interviews. The protocol complies with the Standard Protocol Items for Randomized Trials. CONCLUSIONS This comparative-effectiveness study will be used to determine which of two forms of enhanced prenatal care is more effective, informing future decisions regarding their use. TRIAL REGISTRATION ClinicalTrials.gov: NCT04154423.
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Affiliation(s)
- Miriam Kuppermann
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, United States of America; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States of America; The California Preterm Birth Initiative, University of California, San Francisco, San Francisco, CA, United States of America.
| | - Alice Pressman
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States of America
| | - Kimberly Coleman-Phox
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, United States of America; The California Preterm Birth Initiative, University of California, San Francisco, San Francisco, CA, United States of America
| | - Patience Afulani
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, United States of America; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States of America; The California Preterm Birth Initiative, University of California, San Francisco, San Francisco, CA, United States of America
| | - Bridgette Blebu
- The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Kristin Carraway
- Central Valley Health Policy Institute, California State University, Fresno, Fresno, CA, United States of America
| | - Brittany Chambers Butcher
- Department of Human Ecology, College of Agricultural and Environmental Sciences, University of California, Davis, Davis, CA, United States of America
| | - Venise Curry
- Central Valley Health Policy Institute, California State University, Fresno, Fresno, CA, United States of America
| | - Chris Downer
- Medical Education Program, University of California, San Francisco, Fresno, CA, United States of America
| | - Brittany Edwards
- Central Valley Health Policy Institute, California State University, Fresno, Fresno, CA, United States of America
| | - Jennifer N Felder
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, United States of America
| | - Jazmin Fontenot
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, United States of America; The California Preterm Birth Initiative, University of California, San Francisco, San Francisco, CA, United States of America
| | - Mary A Garza
- Central Valley Health Policy Institute, California State University, Fresno, Fresno, CA, United States of America; Department of Public Health, College of Health and Human Services, California State University, Fresno, Fresno, CA, United States of America
| | - Deborah Karasek
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, United States of America; The California Preterm Birth Initiative, University of California, San Francisco, San Francisco, CA, United States of America
| | - Lauren Lessard
- Central Valley Health Policy Institute, California State University, Fresno, Fresno, CA, United States of America; Institute for Circumpolar Health Studies, University of Alaska, Anchorage, Anchorage, AK, United States of America
| | - Erica Martinez
- Central Valley Health Policy Institute, California State University, Fresno, Fresno, CA, United States of America
| | - Charles E McCulloch
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States of America
| | - Christy Oberholzer
- Central Valley Health Policy Institute, California State University, Fresno, Fresno, CA, United States of America
| | - Guadalupe R Ramirez
- Children and Families Commission of Fresno County, Fresno, CA, United States of America
| | - Martha Tesfalul
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, United States of America; The California Preterm Birth Initiative, University of California, San Francisco, San Francisco, CA, United States of America
| | - Andrea Wiemann
- Central Valley Health Policy Institute, California State University, Fresno, Fresno, CA, United States of America
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Jhaveri TA, Jhaveri D, Galivanche A, Lubeck-Schricker M, Voehler D, Chung M, Thekkur P, Chadha V, Nathavitharana R, Kumar AMV, Shewade HD, Powers K, Mayer KH, Haberer JE, Bain P, Pai M, Satyanarayana S, Subbaraman R. Barriers to engagement in the care cascade for tuberculosis disease in India: A systematic review of quantitative studies. PLoS Med 2024; 21:e1004409. [PMID: 38805509 PMCID: PMC11166313 DOI: 10.1371/journal.pmed.1004409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 06/11/2024] [Accepted: 04/29/2024] [Indexed: 05/30/2024] Open
Abstract
BACKGROUND India accounts for about one-quarter of people contracting tuberculosis (TB) disease annually and nearly one-third of TB deaths globally. Many Indians do not navigate all care cascade stages to receive TB treatment and achieve recurrence-free survival. Guided by a population/exposure/comparison/outcomes (PECO) framework, we report findings of a systematic review to identify factors contributing to unfavorable outcomes across each care cascade gap for TB disease in India. METHODS AND FINDINGS We defined care cascade gaps as comprising people with confirmed or presumptive TB who did not: start the TB diagnostic workup (Gap 1), complete the workup (Gap 2), start treatment (Gap 3), achieve treatment success (Gap 4), or achieve TB recurrence-free survival (Gap 5). Three systematic searches of PubMed, Embase, and Web of Science from January 1, 2000 to August 14, 2023 were conducted. We identified articles evaluating factors associated with unfavorable outcomes for each gap (reported as adjusted odds, relative risk, or hazard ratios) and, among people experiencing unfavorable outcomes, reasons for these outcomes (reported as proportions), with specific quality or risk of bias criteria for each gap. Findings were organized into person-, family-, and society-, or health system-related factors, using a social-ecological framework. Factors associated with unfavorable outcomes across multiple cascade stages included: male sex, older age, poverty-related factors, lower symptom severity or duration, undernutrition, alcohol use, smoking, and distrust of (or dissatisfaction with) health services. People previously treated for TB were more likely to seek care and engage in the diagnostic workup (Gaps 1 and 2) but more likely to suffer pretreatment loss to follow-up (Gap 3) and unfavorable treatment outcomes (Gap 4), especially those who were lost to follow-up during their prior treatment. For individual care cascade gaps, multiple studies highlighted lack of TB knowledge and structural barriers (e.g., transportation challenges) as contributing to lack of care-seeking for TB symptoms (Gap 1, 14 studies); lack of access to diagnostics (e.g., X-ray), non-identification of eligible people for testing, and failure of providers to communicate concern for TB as contributing to non-completion of the diagnostic workup (Gap 2, 17 studies); stigma, poor recording of patient contact information by providers, and early death from diagnostic delays as contributing to pretreatment loss to follow-up (Gap 3, 15 studies); and lack of TB knowledge, stigma, depression, and medication adverse effects as contributing to unfavorable treatment outcomes (Gap 4, 86 studies). Medication nonadherence contributed to unfavorable treatment outcomes (Gap 4) and TB recurrence (Gap 5, 14 studies). Limitations include lack of meta-analyses due to the heterogeneity of findings and limited generalizability to some Indian regions, given the country's diverse population. CONCLUSIONS This systematic review illuminates common patterns of risk that shape outcomes for Indians with TB, while highlighting knowledge gaps-particularly regarding TB care for children or in the private sector-to guide future research. Findings may inform targeting of support services to people with TB who have higher risk of poor outcomes and inform multicomponent interventions to close gaps in the care cascade.
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Affiliation(s)
- Tulip A. Jhaveri
- Division of Infectious Diseases, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
- Division of Geographic Medicine and Infectious Diseases, Tufts Medical Center, Boston, Massachusetts, United States of America
| | - Disha Jhaveri
- Department of Public Health and Community Medicine and Center for Global Public Health, Tufts University School of Medicine, Boston, Massachusetts, United States of America
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Amith Galivanche
- Department of Public Health and Community Medicine and Center for Global Public Health, Tufts University School of Medicine, Boston, Massachusetts, United States of America
| | - Maya Lubeck-Schricker
- Department of Public Health and Community Medicine and Center for Global Public Health, Tufts University School of Medicine, Boston, Massachusetts, United States of America
| | - Dominic Voehler
- Department of Public Health and Community Medicine and Center for Global Public Health, Tufts University School of Medicine, Boston, Massachusetts, United States of America
| | - Mei Chung
- Department of Public Health and Community Medicine and Center for Global Public Health, Tufts University School of Medicine, Boston, Massachusetts, United States of America
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, United States of America
| | - Pruthu Thekkur
- 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
| | | | - Ruvandhi Nathavitharana
- Division of Infectious Diseases, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Ajay M. V. Kumar
- 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
- Department of Community Medicine, Yenepoya Medical College, Yenepoya (deemed to be university), Mangalore, India
| | - Hemant Deepak Shewade
- Division of Health Systems Research, ICMR-National Institute of Epidemiology, Chennai, India
| | - Katherine Powers
- Department of Public Health and Community Medicine and Center for Global Public Health, Tufts University School of Medicine, Boston, Massachusetts, United States of America
| | - Kenneth H. Mayer
- Division of Infectious Diseases, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, United States of America
- The Fenway Institute, Boston, Massachusetts, United States of America
| | - Jessica E. Haberer
- Center for Global Health, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Paul Bain
- Countway Library of Medicine, Boston, Massachusetts, United States of America
| | - Madhukar Pai
- Department of Global and Public Health and McGill International TB Centre, McGill University, Montreal, Canada
| | - 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
| | - Ramnath Subbaraman
- Division of Geographic Medicine and Infectious Diseases, Tufts Medical Center, Boston, Massachusetts, United States of America
- Department of Public Health and Community Medicine and Center for Global Public Health, Tufts University School of Medicine, Boston, Massachusetts, United States of America
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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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4
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Gupta AJ, Turimumahoro P, Ochom E, Ggita JM, Babirye D, Ayakaka I, Mark D, Okello DA, Cattamanchi A, Dowdy DW, Haberer JE, Armstrong-Hough M, Katamba A, Davis JL. mHealth to improve implementation of TB contact investigation: a case study from Uganda. Implement Sci Commun 2023; 4:71. [PMID: 37340456 PMCID: PMC10280918 DOI: 10.1186/s43058-023-00448-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 06/01/2023] [Indexed: 06/22/2023] Open
Abstract
BACKGROUND Implementation science offers a systematic approach to adapting innovations and delivery strategies to new contexts but has yet to be widely applied in low- and middle-income countries. The Fogarty Center for Global Health Studies is sponsoring a special series, "Global Implementation Science Case Studies," to address this gap. METHODS We developed a case study for this series describing our approach and lessons learned while conducting a prospective, multi-modal study to design, implement, and evaluate an implementation strategy for TB contact investigation in Kampala, Uganda. The study included formative, evaluative, and summative phases that allowed us to develop and test an adapted contact investigation intervention involving home-based sample collection for TB and HIV testing. We concurrently developed a multi-component mHealth implementation strategy involving fingerprint scanning, electronic decision support, and automated reporting of test results via text message. We then conducted a household-randomized, hybrid implementation-effectiveness trial comparing the adapted intervention and implementation strategy to usual care. Our assessment included nested quantitative and qualitative studies to understand the strategy's acceptability, appropriateness, feasibility, fidelity, and costs. Reflecting on this process with a multi-disciplinary team of implementing researchers and local public health partners, we provide commentary on the previously published studies and how the results influenced the adaptation of international TB contact investigation guidelines to fit the local context. RESULTS While the trial did not show improvements in contact investigation delivery or public health outcomes, our multi-modal evaluation strategy helped us identify which elements of home-based, mHealth-facilitated contact investigation were feasible, acceptable, and appropriate and which elements reduced its fidelity and sustainability, including high costs. We identified a need for better tools for measuring implementation that are simple, quantitative, and repeatable and for greater attention to ethical issues in implementation science. CONCLUSIONS Overall, a theory-informed, community-engaged approach to implementation offered many learnings and actionable insights for delivering TB contact investigation and using implementation science in low-income countries. Future implementation trials, especially those incorporating mHealth strategies, should apply the learnings from this case study to enhance the rigor, equity, and impact of implementation research in global health settings.
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Affiliation(s)
- Amanda J Gupta
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
- Uganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Patricia Turimumahoro
- Uganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda
| | - Emmanuel Ochom
- Uganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda
| | - Joseph M Ggita
- Uganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda
| | - Diana Babirye
- Uganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda
| | - Irene Ayakaka
- Uganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda
| | - David Mark
- Uganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda
| | | | - Adithya Cattamanchi
- Uganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda
- Division of Pulmonary and Critical Care Medicine, University of California San Francisco, San Francisco, CA, USA
- Division of Pulmonary Diseases and Critical Care Medicine, University of California, Irvine, Irvine, CA, USA
| | - David W Dowdy
- Uganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jessica E Haberer
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Mari Armstrong-Hough
- Uganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda
- Department of Social and Behavioral Sciences, New York University School of Global Public Health, New York, NY, USA
- Department of Epidemiology, New York University School of Global Public Health, New York, NY, USA
| | - Achilles Katamba
- Uganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda
- Clinical Epidemiology Unit, Department of Medicine, Makerere University, Kampala, Uganda
| | - J Lucian Davis
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
- Uganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda.
- Pulmonary, Critical Care, and Sleep Medicine Section, Yale School of Medicine, New Haven, CT, USA.
- Center for Methods in Implementation and Prevention Science, Yale School of Public Health, New Haven, CT, USA.
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Saranjav A, Parisi C, Zhou X, Dorjnamjil K, Samdan T, Erdenebaatar S, Chuluun A, Dalkh T, Ganbaatar G, Brooks MB, Spiegelman D, Ganmaa D, Davis JL. Assessing the quality of tuberculosis care using routine surveillance data: a process evaluation employing the Zero TB Indicator Framework in Mongolia. BMJ Open 2022; 12:e061229. [PMID: 35973702 PMCID: PMC9386240 DOI: 10.1136/bmjopen-2022-061229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
OBJECTIVES To evaluate the feasibility of the Zero TB Indicator Framework as a tool for assessing the quality of tuberculosis (TB) case-finding, treatment and prevention services in Mongolia. SETTING Primary health centres, TB dispensaries, and surrounding communities in four districts of Mongolia. DESIGN Three retrospective cross-sectional cohort studies, and two longitudinal studies each individually nested in one of the cohort studies. PARTICIPANTS 15 947 community members from high TB-risk populations; 8518 patients screened for TB in primary health centres and referred to dispensaries; 857 patients with index TB and 2352 household contacts. PRIMARY AND SECONDARY OUTCOME MEASURES 14 indicators of the quality of TB care defined by the Zero TB Indicator Framework and organised into three care cascades, evaluating community-based active case-finding, passive case-finding in health facilities and TB screening and prevention among close contacts; individual and health-system predictors of these indicators. RESULTS The cumulative proportions of participants receiving guideline-adherent care varied widely, from 96% for community-based active case-finding, to 79% for TB preventive therapy among household contacts, to only 67% for passive case-finding in primary health centres and TB dispensaries (range: 29%-80% across districts). The odds of patients completing active TB treatment decreased substantially with increasing age (aOR: 0.76 per decade, 95% CI: 0.71 to 0.83, p<0.001) and among men (aOR: 0.56, 95% CI: 0.36 to 0.88, p=0.013). Contacts of older index patients also had lower odds of initiating and completing of TB preventive therapy (aOR: 0.60 per decade, 95% CI: 0.38 to 0.93, p=0.022). CONCLUSIONS The Zero TB Framework provided a feasible and adaptable approach for using routine surveillance data to evaluate the quality of TB care and identify associated individual and health system factors. Future research should evaluate strategies for collecting process indicators more efficiently; gather qualitative data on explanations for low-quality care; and deploy quality improvement interventions.
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Affiliation(s)
| | - Christina Parisi
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
| | - Xin Zhou
- Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA
- Center for Methods in Implementation and Prevention Science, Yale School of Public Health, New Haven, Connecticut, USA
| | - Khulan Dorjnamjil
- Zero TB Mongolia, Mongolian Health Initiative, Ulaanbaatar, Mongolia
| | - Tumurkhuyag Samdan
- Zero TB Mongolia, Mongolian Health Initiative, Ulaanbaatar, Mongolia
- School of Public Health, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
| | | | - Altantogoskhon Chuluun
- Ulaanbaatar City Health Department, Governor's Office of Capital City Ulaanbaatar, Ulaanbaatar, Mongolia
| | - Tserendagva Dalkh
- Department of Hospital Development, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
| | - Gantungalag Ganbaatar
- Tuberculosis Surveillance and Research Department, National Center for Communicable Diseases, Ulaanbaatar, Mongolia
| | - Meredith B Brooks
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Donna Spiegelman
- Center for Methods in Implementation and Prevention Science, Yale School of Public Health, New Haven, Connecticut, USA
| | - Davaasambuu Ganmaa
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - J Lucian Davis
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
- Pulmonary, Critical Care, and Sleep Medicine Section, Department of Medicine, Yale School of Medicine, New Haven, Connecticut, USA
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6
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Zawedde-Muyanja S, Manabe YC, Cattamanchi A, Castelnuovo B, Katamba A. Patient and health system level barriers to and facilitators for tuberculosis treatment initiation in Uganda: a qualitative study. BMC Health Serv Res 2022; 22:831. [PMID: 35764982 PMCID: PMC9513807 DOI: 10.1186/s12913-022-08213-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 06/13/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The WHO END TB strategy targets to place at least 90% of all patients diagnosed with Tuberculosis (TB) on appropriate treatment. In Uganda, approximately 20% of patients diagnosed with TB are not initiated on TB treatment. We sought to identify the patient and health system level barriers to and facilitators for TB treatment initiation in Uganda. METHODS We conducted the study at ten public health facilities (three primary care, four district and three tertiary referral hospitals). We carried out in-depth interviews with patients diagnosed with TB and key informant interviews with health managers. In addition, we held focus group discussions with healthcare workers involved in TB care. Data collection and thematic analysis of transcripts was informed by the Capability, Opportunity, Motivation and Behavior (COM-B) model. We identified relevant intervention functions using the Behavior Change Wheel. RESULTS We interviewed 79 respondents (31 patients, 10 health managers and 38 healthcare workers). Common barriers at the health facility level included; lack of knowledge about the proportion of patients not initiated on TB treatment (psychological capability); difficulty accessing sputum results from the laboratory as well as difficulty tracing patients due to inadequate recording of patient addresses (physical opportunity). At the patient level, notable barriers included long turnaround time for sputum results and lack of transport funds to return to health facilities (physical opportunity); limited TB knowledge (psychological capability) and stigma (social opportunity). The most important facilitators identified were quick access to sputum test results either on the date of first visit (same-day diagnosis) or on the date of first return and availability of TB treatment (physical opportunity). We identified education, restructuring of the service environment to improve sputum results turnaround time and enablement to improve communication of test results as relevant intervention functions to alleviate these barriers to and enhance facilitators for TB treatment initiation. CONCLUSION We found that barriers to treatment initiation existed at both the patient and health facility-level across all levels of the (Capability, Opportunity and Motivation) model. The intervention functions identified here should be tested for feasibility.
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Affiliation(s)
- Stella Zawedde-Muyanja
- The Infectious Diseases Institute, College of Health Sciences, Makerere University Kampala, Mulago Hospital Complex, P.O. Box 22418, Kampala, Uganda.
| | - Yukari C Manabe
- The Infectious Diseases Institute, College of Health Sciences, Makerere University Kampala, Mulago Hospital Complex, P.O. Box 22418, Kampala, Uganda.,Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Adithya Cattamanchi
- Division of Pulmonary and Critical Care Medicine and Center for Tuberculosis, University of California San Francisco, San Francisco California, USA.,Uganda Tuberculosis Implementation Research Consortium, Kampala, Uganda
| | - Barbara Castelnuovo
- The Infectious Diseases Institute, College of Health Sciences, Makerere University Kampala, Mulago Hospital Complex, P.O. Box 22418, Kampala, Uganda
| | - Achilles Katamba
- Uganda Tuberculosis Implementation Research Consortium, Kampala, Uganda. .,Clinical Epidemiology and Biostatistics Unit, Department of Medicine, Makerere University College of Health Sciences, Mulago Hospital Complex, P.O. Box 7072, Kampala, Uganda.
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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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8
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Gengiah S, Barker PM, Yende-Zuma N, Mbatha M, Naidoo S, Taylor M, Loveday M, Mhlongo M, Jackson C, Nunn AJ, Padayatchi N, Karim SSA, Naidoo K. A cluster-randomized controlled trial to improve the quality of integrated HIV-tuberculosis services in primary healthcareclinics in South Africa. J Int AIDS Soc 2021; 24:e25803. [PMID: 34498370 PMCID: PMC8426757 DOI: 10.1002/jia2.25803] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 08/05/2021] [Indexed: 01/11/2023] Open
Abstract
Introduction : Tuberculosis (TB) remains the most common cause of death among people living with HIV. Integrating HIV and TB services reduces mortality but is sub‐optimally implemented. Quality improvement (QI) methods offer a low‐cost and easily implementable approach to strengthening healthcare delivery systems. This trial assessed a QI intervention on key process indicators for delivering integrated HIV‐TB care in rural South African primary healthcare (PHC) clinics. Methods Sixteen nurse supervisors, (each with a cluster of clinics) overseeing 40 PHC clinics, were randomized 1:1 to the intervention or the standard of care (SOC) groups. The QI intervention comprised three key components: clinical and QI skills training, on‐site mentorship of nurse supervisors and clinic staff, and data quality improvement activities to enhance accuracy and completeness of routine clinic data. The SOC comprised monthly supervision and data feedback meetings. From 01 December 2016 to 31 December 2018, data were collected monthly by a team of study‐appointed data capturers from all study clinics. This study's outcomes were HIV testing services (HTS), TB screening, antiretroviral therapy (ART) initiation, isoniazid preventive therapy (IPT) initiation and viral load (VL) testing. Results The QI group (eight clusters) comprised 244 clinic staff who attended to 13,347 patients during the trial compared to the SOC group (eight clusters) with 217 clinic staff who attended to 8141 patients. QI mentors completed 85% (510/600) of expected QI mentorship visits to QI clinics. HTS was 19% higher [94.5% vs. 79.6%; relative risk (RR)=1.19; 95% CI: 1.02–1.38; p=0.029] and IPT initiation was 66% higher (61.2 vs. 36.8; RR=1.66; 95% CI: 1.02–2.72; p=0·044), in the QI group compared to SOC group. The percentage of patients screened for TB (83.4% vs. 79.3%; RR=1.05; p=0.448), initiated on ART (91.7 vs. 95.5; RR=0.96; p=0.172) and VL testing (72.2% vs. 72.8%; RR=0.99; p=0.879) was similar in both groups. Conclusions QI improved HIV testing and IPT initiation compared to SOC. TB screening, ART initiation and VL testing remained similar. Incorporating QI methods into routine supervision and support activities may strengthen integrated HIV‐TB service delivery and increase the success of future QI scale‐up activities.
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Affiliation(s)
| | - Pierre M Barker
- Institute for Healthcare Improvement, Cambridge, Massachusetts, USA.,Department of Maternal and Child Health, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Nonhlanhla Yende-Zuma
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa.,MRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, South Africa
| | | | | | - Myra Taylor
- School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
| | - Marian Loveday
- MRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, South Africa.,HIV Prevention Research Unit, South African Medical Research Council, Durban, South Africa
| | - Mesuli Mhlongo
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa
| | - Clark Jackson
- Institute for Healthcare Improvement, Cambridge, Massachusetts, USA
| | - Andrew J Nunn
- Medical Research Council, Clinical Trials Unit at University College London (UCL), London, UK
| | - Nesri Padayatchi
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa.,MRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, South Africa
| | - Salim S Abdool Karim
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa.,MRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, South Africa.,Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA
| | - Kogieleum Naidoo
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa.,MRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, South Africa
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9
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Kazibwe A, Twinomugisha F, Musaazi J, Nakaggwa F, Lukanga D, Aleu P, Kiyemba T, Nkolo A, Kirirabwa NS, Lopez DBF, Birabwa E, Dejene S, Zawedde-Muyanja S. Comparative yield of different active TB case finding interventions in a large urban TB project in central Uganda: a descriptive study. Afr Health Sci 2021; 21:975-984. [PMID: 35222557 PMCID: PMC8843286 DOI: 10.4314/ahs.v21i3.3] [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: 11/17/2022] Open
Abstract
INTRODUCTION Systematic screening for TB among patients presenting to care and among high risk populations is recommended to improve TB case finding. We aimed to describe the comparative yield of three TB screening approaches implemented by a large urban TB project in central Uganda. METHODS We abstracted data on the screening cascade from 65 health facilities and their surrounding communities (numbers screened, with presumptive TB, receiving a diagnostic test and diagnosed with TB) from the different clinic and community TB registers. RESULTS From January 2018 to December 2019, 93,378 (24%) of all patients screened at health facilities had presumptive TB; 77,381 (82.9%) received a diagnostic test and 14,305 (18.5%) were diagnosed with TB. The screening yield (the number of patients diagnosed with TB out of all patients screened) was 0.3% and was three times higher among men than women (0.6% vs 0.2% p<0.01). During targeted community screening interventions, 9874 (21.1%) of all patients screened had presumptive TB; 7034 (71.2%) of these received a diagnostic test and 1699 (24.2%) were diagnosed with TB. The screening yield was higher among men, (3.7% vs 3.3% p<0.01) and highest among children 0-14 (4.8% vs 3.2% p<0.01). CONCLUSION Targeted community TB screening interventions improve access to TB diagnosis for men and children 0-14 years.
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Affiliation(s)
- Andrew Kazibwe
- The AIDS Support Organization, Kampala, Uganda.,USAID/Defeat TB Project, University Research Co. LLC, Kampala, Uganda
| | - Fred Twinomugisha
- USAID/Defeat TB Project, University Research Co. LLC, Kampala, Uganda.,The Infectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Joseph Musaazi
- The Infectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Florence Nakaggwa
- USAID/Defeat TB Project, University Research Co. LLC, Kampala, Uganda
| | | | - Phillip Aleu
- USAID/Defeat TB Project, University Research Co. LLC, Kampala, Uganda
| | - Timothy Kiyemba
- USAID/Defeat TB Project, University Research Co. LLC, Kampala, Uganda
| | - Abel Nkolo
- USAID/Defeat TB Project, University Research Co. LLC, Kampala, Uganda
| | | | | | | | | | - Stella Zawedde-Muyanja
- USAID/Defeat TB Project, University Research Co. LLC, Kampala, Uganda.,The Infectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda
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10
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Thomas BE, Suresh C, Lavanya J, Lindsley MM, Galivanche AT, Sellappan S, Ovung S, Aravind A, Lincy S, Raja AL, Kokila S, Javeed B, Arumugam S, Mayer KH, Swaminathan S, Subbaraman R. Understanding pretreatment loss to follow-up of tuberculosis patients: an explanatory qualitative study in Chennai, India. BMJ Glob Health 2020; 5:e001974. [PMID: 32181000 PMCID: PMC7053785 DOI: 10.1136/bmjgh-2019-001974] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Revised: 12/18/2019] [Accepted: 01/13/2020] [Indexed: 01/09/2023] Open
Abstract
Introduction Pretreatment loss to follow-up (PTLFU)-dropout of patients after diagnosis but before treatment registration-is a major gap in tuberculosis (TB) care in India and globally. Patient and healthcare worker (HCW) perspectives are critical for developing interventions to reduce PTLFU. Methods We tracked smear-positive TB patients diagnosed via sputum microscopy from 22 diagnostic centres in Chennai, one of India's largest cities. Patients who did not start therapy within 14 days, or who died or were lost to follow-up before official treatment registration, were classified as PTLFU cases. We conducted qualitative interviews with trackable patients, or family members of patients who had died. We conducted focus group discussions (FGDs) with HCWs involved in TB care. Interview and FGD transcripts were coded and analysed with Dedoose software to identify key themes. We created categories into which themes clustered and identified relationships among thematic categories to develop an explanatory model for PTLFU. Results We conducted six FGDs comprising 53 HCWs and 33 individual patient or family member interviews. Themes clustered into five categories. Examining relationships among categories revealed two pathways leading to PTLFU as part of an explanatory model. In the first pathway, administrative and organisational health system barriers-including the complexity of navigating the system, healthcare worker absenteeism and infrastructure failures-resulted in patients feeling frustration or resignation, leading to disengagement from care. In turn, HCWs faced work constraints that contributed to many of these health system barriers for patients. In the second pathway, negative HCW attitudes and behaviours contributed to patients distrusting the health system, resulting in refusal of care. Conclusion Health system barriers contribute to PTLFU directly and by amplifying patient-related challenges to engaging in care. Interventions should focus on removing administrative hurdles patients face in the health system, improving quality of the HCW-patient interaction and alleviating constraints preventing HCWs from providing patient-centred care.
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Affiliation(s)
- Beena E Thomas
- Department of Social and Behavioral Research, National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India
| | - Chandra Suresh
- Department of Social and Behavioral Research, National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India
| | - J Lavanya
- District TB Office, Chennai, Tamil Nadu, India
| | - Mika M Lindsley
- Department of Public Health and Community Medicine and Center for Global Public Health, Tufts University School of Medicine, Boston, Massachusetts, USA
| | - Amith T Galivanche
- Department of Public Health and Community Medicine and Center for Global Public Health, Tufts University School of Medicine, Boston, Massachusetts, USA
| | - Senthil Sellappan
- Department of Social and Behavioral Research, National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India
| | - Senthanro Ovung
- Department of Social and Behavioral Research, National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India
| | - Amritha Aravind
- Department of Social and Behavioral Research, National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India
| | - Savari Lincy
- Department of Social and Behavioral Research, National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India
| | - Agnes Lawrence Raja
- Department of Social and Behavioral Research, National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India
| | - S Kokila
- Department of Social and Behavioral Research, National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India
| | - B Javeed
- Department of Social and Behavioral Research, National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India
| | - S Arumugam
- Department of Social and Behavioral Research, National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India
| | - Kenneth H Mayer
- Fenway Institute, Boston, Massachusetts, USA
- Division of Infectious Diseases, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | | | - Ramnath Subbaraman
- Department of Public Health and Community Medicine and Center for Global Public Health, Tufts University School of Medicine, Boston, Massachusetts, USA
- Division of Geographic Medicine and Infectious Diseases, Tufts Medical Center, Boston, Massachusetts, USA
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11
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López L, Keynan Y, Marin D, Ríos-Hincapie CY, Montes F, Escudero-Atehortua AC, Rueda ZV. Is tuberculosis elimination a feasible goal in Colombia by 2050? Health Policy Plan 2020; 35:47-57. [PMID: 31665295 DOI: 10.1093/heapol/czz122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/06/2019] [Indexed: 11/13/2022] Open
Abstract
Colombia has an underreporting of 30% of the total cases, according to World Health Organization (WHO) estimations. In 2016, successful tuberculosis (TB) treatment rate was 70%, and the mortality rate ranged between 3.5% and 10%. In 2015, Colombia adopted and adapted the End TB strategy and set a target of 50% reduction in incidence and mortality by 2035 compared with 2015. The aims of this study were: To evaluate whether Colombia will be able to achieve the goals of TB incidence and mortality by 2050, using the current strategies; and whether the implementation of new screening, diagnosis and TB treatment strategies will allow to achieve those WHO targets. An ecological study was conducted using TB case-notification, successful treatment and mortality rates from the last 8 years (2009-17). System dynamics analysis was performed using simulated scenarios: (1) continuation with the same trends following the trajectory of the last 8 years (Status quo) and (2) modification of the targets between 2017 through 2050, assuming the implementation of multimodal strategies to increase the screening, to improve the early diagnosis and to improve the treatment adherence. Following the current strategies, it is projected that Colombia will not achieve the End TB strategy targets. Achieving the goal of TB incidence of 10/100 000 by 2050 will only be possible by implementing combined strategies for increasing screening of people with respiratory symptoms, improving access to rapid diagnostic tests and improving treatment adherence. Therefore, it is necessary to design and implement simultaneous strategies according to the population needs and resources, in order to stride towards the End TB targets.
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Affiliation(s)
- Lucelly López
- Research Department Facultad de Medicina, Universidad Pontificia Bolivariana, Calle 78B # 72A-109, Medellín, Colombia
| | - Yoav Keynan
- Department of Medical Microbiology and Infectious Disease, University of Manitoba, Winnipeg, Canada.,Department of Internal Medicine, University of Manitoba, Winnipeg, Canada.,Department of Community Health Science, University of Manitoba, Winnipeg, Canada
| | - Diana Marin
- Research Department Facultad de Medicina, Universidad Pontificia Bolivariana, Calle 78B # 72A-109, Medellín, Colombia
| | | | | | | | - Zulma Vanessa Rueda
- Research Department Facultad de Medicina, Universidad Pontificia Bolivariana, Calle 78B # 72A-109, Medellín, Colombia
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12
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Cattamanchi A, Berger CA, Shete PB, Turyahabwe S, Joloba M, Moore DAJ, Davis LJ, Katamba A. Implementation science to improve the quality of tuberculosis diagnostic services in Uganda. J Clin Tuberc Other Mycobact Dis 2020; 18:100136. [PMID: 31879703 PMCID: PMC6920311 DOI: 10.1016/j.jctube.2019.100136] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
Nucleic acid amplification tests such as Xpert MTB/RIF (Xpert) have the potential to revolutionize tuberculosis (TB) diagnostics and improve case finding in resource-poor settings. However, since its introduction over a decade ago in Uganda, there remain significant gaps along the cascade of care for patients undergoing TB diagnostic evaluation at peripheral health centers. We utilized a systematic, implementation science-based approach to identify key reasons at multiple levels for attrition along the TB diagnostic evaluation cascade of care. Provider- and health system-level barriers fit into four key thematic areas: human resources, material resources, service implementation, and service coordination. Patient-level barriers included the considerable costs and time required to complete health center visits. We developed a theory-informed strategy using the PRECEDE framework to target key barriers by streamlining TB diagnostic evaluation and facilitating continuous quality improvement. The resulting SIMPLE TB strategy involve four key components: 1) Single-sample LED fluorescence microscopy; 2) Daily sputum transport to Xpert testing sites; 3) Text message communication of Xpert results to health centers and patients; and 4) Performance feedback to health centers using a quality improvement framework. This combination of interventions was feasible to implement and significantly improved the provision of high-quality care for patients undergoing TB diagnostic evaluation. We conclude that achieving high coverage of Xpert testing services is not enough. Xpert scale-up should be accompanied by health system co-interventions to facilitate effective implementation and ensure that high quality care is delivered to patients.
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Affiliation(s)
- Adithya Cattamanchi
- Division of Pulmonary and Critical Care Medicine and Center for Tuberculosis, University of California San Francisco, San Francisco, United States
- Uganda Tuberculosis Implementation Research Consortium, Kampala, Uganda
| | - Christopher A. Berger
- Division of Pulmonary and Critical Care Medicine and Center for Tuberculosis, University of California San Francisco, San Francisco, United States
| | - Priya B. Shete
- Division of Pulmonary and Critical Care Medicine and Center for Tuberculosis, University of California San Francisco, San Francisco, United States
- Uganda Tuberculosis Implementation Research Consortium, Kampala, Uganda
| | - Stavia Turyahabwe
- Uganda Tuberculosis Implementation Research Consortium, Kampala, Uganda
- Uganda National Tuberculosis and Leprosy Program, Kampala, Uganda
| | - Moses Joloba
- School of Biomedical Sciences, Makerere University College of Health Sciences, Kampala, Uganda
- Uganda National Tuberculosis Reference Laboratory, Kampala, Uganda
| | - David AJ Moore
- Uganda Tuberculosis Implementation Research Consortium, Kampala, Uganda
- London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Lucian J. Davis
- Uganda Tuberculosis Implementation Research Consortium, Kampala, Uganda
- Epidemiology of Microbial Diseases and Center for Methods in Implementation and Prevention Sciences, Yale School of Public Health; Pulmonary, Critical Care, and Sleep Medicine and Yale Center for Implementation Science, Yale School of Medicine, New Haven, United States
| | - Achilles Katamba
- Uganda Tuberculosis Implementation Research Consortium, Kampala, Uganda
- Department of Medicine, Makerere University College of Health Sciences, Kampala, Uganda
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13
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Naidoo K, Gengiah S, Singh S, Stillo J, Padayatchi N. Quality of TB care among people living with HIV: Gaps and solutions. J Clin Tuberc Other Mycobact Dis 2019; 17:100122. [PMID: 31788564 PMCID: PMC6880007 DOI: 10.1016/j.jctube.2019.100122] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Tuberculosis (TB) is the leading infectious cause of death among people living with HIV, causing one third of AIDS-related deaths globally. The concerning number of missing TB cases, ongoing high TB mortality, slow reduction in TB incidence, and limited uptake of TB preventive treatment among people living with HIV, all indicate the urgent need to improve quality of TB services within HIV programs. In this mini-review we discuss major gaps in quality of TB care that impede achieving prevention and treatment targets within the TB-HIV care cascades, show approaches of assessing gaps in TB service provision, and describe outcomes from innovative quality improvement projects among HIV and TB programs. We also offer recommendations for measuring quality of TB care.
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Affiliation(s)
- Kogieleum Naidoo
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa.,MRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, South Africa
| | | | - Satvinder Singh
- TBHIV and Quality of Care, HIV Department, World Health Organization, Geneva, Switzerland
| | - Jonathan Stillo
- Wayne State University, College of Liberal Arts and Sciences, Detroit, MI, United States
| | - Nesri Padayatchi
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa.,MRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, South Africa
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14
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Kizito S, Katamba A, Marquez C, Turimumahoro P, Ayakaka I, Davis JL, Cattamanchi A. Quality of care in childhood tuberculosis diagnosis at primary care clinics in Kampala, Uganda. Int J Tuberc Lung Dis 2019; 22:1196-1202. [PMID: 30236188 DOI: 10.5588/ijtld.18.0043] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVE To assess the quality of routine childhood tuberculosis (TB) evaluation in Kampala, Uganda. SETTING AND DESIGN This was a cross-sectional study of children aged <15 years attending six government-run clinics from November 2015 to December 2016. Clinicians completed a standardized patient record form for all child visits. We assessed the following performance indicators of TB evaluation developed based on the Desk Guide of the International Union Against Tuberculosis and Lung Disease, an evidence-based decision aid on childhood TB diagnosis and management for clinicians: proportion screened for TB symptoms or contact history, proportion referred for laboratory evaluation if screen-positive, and proportion treated for TB if test-positive or meeting clinical criteria. RESULTS Of 24 566 consecutive children enrolled, 11 614 (47%) were fully screened for TB symptoms. Of 1747 (15%) children who screened positive, 360 (21%) had sputum examined, including 159 (44%) using smear microscopy, 244 (67%) using Xpert® MTB/RIF, and 52 (14%) using both techniques. Treatment was initiated in 18/20 (80%) children who tested positive. An additional 65 screen-positive children met the clinical criteria for TB; none were initiated on treatment. CONCLUSIONS Large gaps exist along the pathway to diagnosis and treatment of childhood TB. There is an urgent need for enhanced implementation of evidence-based approaches to TB diagnosis to improve outcomes in childhood TB.
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Affiliation(s)
- S Kizito
- School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
| | - A Katamba
- School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
| | - C Marquez
- Division of HIV, Infectious Diseases, and Global Medicine, Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, California
| | - P Turimumahoro
- School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
| | - I Ayakaka
- School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
| | - J L Davis
- Pulmonary, Critical Care, & Sleep Medicine Section, School of Medicine and Department of Epidemiology of Microbial Diseases, School of Public Health, Yale University, New Haven, Connecticut
| | - A Cattamanchi
- Division of Pulmonary and Critical Care Medicine and Center for Vulnerable Populations, Zuckerberg San Francisco General Hospital, and Curry International Tuberculosis Center, University of California San Francisco, San Francisco, California, USA
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15
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Agins BD, Ikeda DJ, Reid MJA, Goosby E, Pai M, Cattamanchi A. Improving the cascade of global tuberculosis care: moving from the "what" to the "how" of quality improvement. THE LANCET. INFECTIOUS DISEASES 2019; 19:e437-e443. [PMID: 31447305 DOI: 10.1016/s1473-3099(19)30420-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Revised: 05/29/2019] [Accepted: 06/12/2019] [Indexed: 12/27/2022]
Abstract
Tuberculosis is preventable, treatable, and curable, yet it has the highest mortality rate of infectious diseases worldwide. Over the past decade, services to prevent, screen, diagnose, and treat tuberculosis have been developed and scaled up globally, but progress to end the disease as a public health threat has been slow, particularly in low-income and middle-income countries. In these settings, low-quality tuberculosis prevention, diagnostic, and treatment services frustrate efforts to translate use of existing tools, approaches, and treatment regimens into improved individual and public health outcomes. Increasingly sophisticated methods have been used to identify gaps in quality of tuberculosis care, but inadequate work has been done to apply these findings to activities that generate population-level improvements. In this Personal View, we contend that shifting the focus from the "what" to the "how" of quality improvement will require National Tuberculosis Programmes to change the way they organise, use data, implement, and respond to the needs and preferences of people with tuberculosis and at-risk communities.
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Affiliation(s)
- Bruce D Agins
- HEALTHQUAL, Institute for Global Health Sciences, University of California, San Francisco, CA, USA; Division of Global Epidemiology, University of California, San Francisco, CA, USA; Institute for Implementation Science in Population Health, City University of New York, NY, USA.
| | - Daniel J Ikeda
- HEALTHQUAL, Institute for Global Health Sciences, University of California, San Francisco, CA, USA; Harvard Medical School, Boston, MA, USA
| | - Michael J A Reid
- Division of HIV, Infectious Diseases and Global Medicine, University of California, San Francisco, CA, USA
| | - Eric Goosby
- Division of HIV, Infectious Diseases and Global Medicine, University of California, San Francisco, CA, USA
| | - Madhukar Pai
- McGill International TB Centre, McGill University, Montreal, Canada
| | - Adithya Cattamanchi
- Division of Pulmonary and Critical Care Medicine, University of California, San Francisco, CA, USA
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16
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Ikeda DJ, Basenero A, Murungu J, Jasmin M, Inimah M, Agins BD. Implementing quality improvement in tuberculosis programming: Lessons learned from the global HIV response. J Clin Tuberc Other Mycobact Dis 2019; 17:100116. [PMID: 31788558 PMCID: PMC6879975 DOI: 10.1016/j.jctube.2019.100116] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
The quality of care and treatment for tuberculosis (TB) is a major barrier in global efforts to end TB as a global health emergency. Despite a growing recognition of the need to measure, assure, and improve quality of TB services, implementation of quality improvement (QI) activities remains limited. Applying principles of systems thinking, continuous measurement, and root cause analysis, QI represents a proven approach for identifying and addressing performance gaps in healthcare delivery, with demonstrated success in low- and middle-income settings in the areas of HIV/AIDS, maternal, newborn, and child health, and infection control, among others. Drawing from lessons learned in the development of QI programming as part of the global response to HIV, we review key enablers to implementation that may assist NTPs in turning aspirations of high-quality service delivery into action. Under the umbrella of a formal quality management (QM) program, NTPs' attention to planning and coordination, commitment to tracking key processes of care, investment in QI capacity building, and integration of TB QI activities within efforts to advance universal health coverage provide a framework to sustainably implement QI activities.
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Affiliation(s)
- Daniel J Ikeda
- HEALTHQUAL, Division of Global Epidemiology, Institute for Global Health Sciences, University of California, San Francisco, San Francisco, CA, USA
| | | | - Joseph Murungu
- HEALTHQUAL, Institute for Global Health Sciences, University of California, San Francisco, Harare, Zimbabwe
| | - Margareth Jasmin
- HEALTHQUAL, Division of Global Epidemiology, Institute for Global Health Sciences, University of California, San Francisco, San Francisco, CA, USA
| | | | - Bruce D Agins
- HEALTHQUAL, Division of Global Epidemiology, Institute for Global Health Sciences, University of California, San Francisco, San Francisco, CA, USA.,Institute for Implementation Science in Public Health, City University of New York, New York, NY, USA
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17
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Lestari T, Graham S, van den Boogard C, Triasih R, Poespoprodjo JR, Ubra RR, Kenangalem E, Mahendradhata Y, Anstey NM, Bailie RS, Ralph AP. Bridging the knowledge-practice gap in tuberculosis contact management in a high-burden setting: a mixed-methods protocol for a multicenter health system strengthening study. Implement Sci 2019; 14:31. [PMID: 30890160 PMCID: PMC6425655 DOI: 10.1186/s13012-019-0870-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Accepted: 02/12/2019] [Indexed: 01/12/2023] Open
Abstract
Background People in close contact with tuberculosis should have screening and appropriate management, as an opportunity for active case detection and prevention. However, implementation of tuberculosis contact screening and management is limited in high-burden settings. Behaviour change is needed across three levels of the healthcare system—policymakers, healthcare providers, and patients. To bridge the wide policy-practice gap, this study draws on the Consolidated Framework for Implementation Research, the Behaviour Change Wheel, and the RE-AIM model (Reach, Effectiveness, Adoption, Implementation, Maintenance) to respectively understand barriers, implement change, and evaluate process and outcome. Methods This methods paper describes a mixed-methods intervention study in Eastern Indonesia. Quantitative data will be collected during baseline, intervention, and sustainability periods and analyzed using time series analysis. The primary outcome is the number of individuals completing tuberculosis preventive therapy by the end of the two-year intervention phase. Of an estimated 10,000 contacts during this period, we anticipate that a minimum of 416 will be found to have active TB or will complete preventive therapy. Qualitative data (semi-structured interviews, focus group discussions, and observations) will be collected from consenting healthcare providers, patients, and contacts. Activities to promote policy implementation include healthcare provider training, quarterly continuous quality improvement workshops, a social media discussion forum, and promotional materials. The Consolidated Framework for Implementation Research will be used to identify reasons for limited policy implementation at baseline. The Behaviour Change Wheel will be used to ensure that a suitable range of activities are implemented to facilitate change. The RE-AIM model will be used as the evaluation framework. Discussion Use of theoretical frameworks in combination can ensure a comprehensive understanding of, and robust response to, health policy underimplementation. The selected frameworks are highly applicable to this pragmatic intervention study, in a setting where End TB Strategy targets will not be met without substantial behavior change within health systems. Continuous quality improvement cycles will provide a way to engage staff and stakeholders in understanding local data to motivate behavior change. If successful, up to 500 people could be prevented from developing complications of tuberculosis through early case-finding or receiving preventive therapy over a two-year period. Study registration Australian New Zealand Clinical Trials Register 375803.
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Affiliation(s)
- Trisasi Lestari
- Global and Tropical Health, Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia. .,Center for Tropical Medicine, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.
| | - Steve Graham
- Centre for International Child Health, Department of Paediatrics and Murdoch Children's Research Institute, University of Melbourne, Melbourne, Australia.,Burnet Institute, Melbourne, Australia
| | - Christel van den Boogard
- Global and Tropical Health, Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia
| | - Rina Triasih
- Center for Tropical Medicine, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Jeanne Rini Poespoprodjo
- Center for Tropical Medicine, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.,Papuan Health and Community Development Foundation, Papua, Indonesia
| | | | - Enny Kenangalem
- Papuan Health and Community Development Foundation, Papua, Indonesia
| | - Yodi Mahendradhata
- Center for Tropical Medicine, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Nicholas M Anstey
- Global and Tropical Health, Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia.,Division of Medicine, Royal Darwin Hospital, Darwin, Northern Territory, Australia
| | - Ross S Bailie
- University Centre for Rural Health, School of Medicine, University of Sydney, Lismore, Australia
| | - Anna P Ralph
- Global and Tropical Health, Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia.,Division of Medicine, Royal Darwin Hospital, Darwin, Northern Territory, Australia
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18
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Shete PB, Nalugwa T, Farr K, Ojok C, Nantale M, Howlett P, Haguma P, Ochom E, Mugabe F, Joloba M, Chaisson LH, Dowdy DW, Moore D, Davis JL, Katamba A, Cattamanchi A. Feasibility of a streamlined tuberculosis diagnosis and treatment initiation strategy. Int J Tuberc Lung Dis 2018. [PMID: 28633698 PMCID: PMC5479151 DOI: 10.5588/ijtld.16.0699] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVE: To assess the feasibility of a streamlined strategy for improving tuberculosis (TB) diagnostic evaluation and treatment initiation among patients with presumed TB. DESIGN: Single-arm interventional pilot study at five primary care health centers of a streamlined, SIngle-saMPLE (SIMPLE) TB diagnostic evaluation strategy: 1) examination of two smear results from a single spot sputum specimen using light-emitting diode fluorescence microscopy, and 2) daily transportation of smear-negative sputum samples to Xpert® MTB/RIF testing sites. RESULTS: Of 1212 adults who underwent sputum testing for TB, 99.6% had two smears examined from the spot sputum specimen. Sputum was transported for Xpert testing within 1 clinic day for 83% (907/1091) of the smear-negative patients. Of 157 (13%) patients with bacteriologically positive TB, 116 (74%) were identified using sputum smear microscopy and 41 (26%) using Xpert testing of smear-negative samples. Anti-tuberculosis treatment was initiated in 142 (90%) patients with bacteriologically positive TB, with a median time to treatment of 1 day for smear-positive patients and 6 days for smear-negative, Xpert-positive patients. CONCLUSION: The SIMPLE TB strategy led to successful incorporation of Xpert testing and rapid treatment initiation in the majority of patients with bacteriologically confirmed TB in a resource-limited setting.
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Affiliation(s)
- P B Shete
- Division of Pulmonary and Critical Care Medicine, University of California San Francisco and Zuckerberg San Francisco General Hospital, San Francisco, Curry International Tuberculosis Center, University of California San Francisco, San Francisco, California, USA
| | - T Nalugwa
- School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda
| | - K Farr
- Division of Pulmonary and Critical Care Medicine, University of California San Francisco and Zuckerberg San Francisco General Hospital, San Francisco, Curry International Tuberculosis Center, University of California San Francisco, San Francisco, California, USA
| | - C Ojok
- School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda
| | - M Nantale
- School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda
| | - P Howlett
- Faculty of Infectious and Tropical Diseases and TB Centre, London School of Hygiene and Tropical Medicine, London, UK
| | - P Haguma
- School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda
| | - E Ochom
- School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda
| | - F Mugabe
- Uganda National Tuberculosis and Leprosy Control Programme, Kampala
| | - M Joloba
- School of Biomedical Sciences, Makerere University College of Health Sciences, Kampala, Uganda
| | - L H Chaisson
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - D W Dowdy
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - D Moore
- Faculty of Infectious and Tropical Diseases and TB Centre, London School of Hygiene and Tropical Medicine, London, UK
| | - J L Davis
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - A Katamba
- School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda
| | - A Cattamanchi
- Division of Pulmonary and Critical Care Medicine, University of California San Francisco and Zuckerberg San Francisco General Hospital, San Francisco, Curry International Tuberculosis Center, University of California San Francisco, San Francisco, California, USA
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19
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Thomas BE, Subbaraman R, Sellappan S, Suresh C, Lavanya J, Lincy S, Raja AL, Javeed B, Kokila S, Arumugam S, Swaminathan S, Mayer KH. Pretreatment loss to follow-up of tuberculosis patients in Chennai, India: a cohort study with implications for health systems strengthening. BMC Infect Dis 2018; 18:142. [PMID: 29587651 PMCID: PMC5872574 DOI: 10.1186/s12879-018-3039-3] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2017] [Accepted: 03/04/2018] [Indexed: 11/23/2022] Open
Abstract
Background Pretreatment loss to follow-up (PTLFU) is a barrier to tuberculosis (TB) control in India’s Revised National TB Control Programme (RNTCP). PTLFU studies have not been conducted in India’s mega-cities, where patient mobility may complicate linkage to care. Methods We collected data from patient registries for May 2015 from 22 RNTCP designated microscopy centers (DMCs) in Chennai and audited addresses and phone numbers for patients evaluated for suspected TB to understand how missing contact information may contribute to PTLFU. From November 2015 to June 2016, we audited one month of records from each of these 22 DMCs and tracked newly diagnosed smear-positive patients using RNTCP records, phone calls, and home visits. We defined PTLFU cases as including: (1) patients who did not start TB therapy within 14 days and (2) patients who started TB therapy but were lost to follow-up or died before official RNTCP registration. We used multivariate logistic regression to identify factors associated with PTLFU. Results In the audit of May 2015 DMC registries, out of 3696 patients evaluated for TB, 1273 (34.4%) had addresses and phone numbers that were illegible or missing. Out of 344 smear-positive patients tracked from November 2015 to June 2016, 40 (11.6%) did not start TB therapy within 14 days and 36 (10.5%) started therapy but were lost to follow-up or died before official RNTCP registration, for an overall PTLFU rate of 22.1% (95%CI: 17.8%—26.4%). Of all PTLFU patients, 55 (72.4%) were lost to follow-up and 21 (27.6%) died before starting treatment or before RNTCP registration. In the regression analysis, age > 50 years (OR 2.9, 95%CI 1.4—6.5), history of prior TB (OR 3.9, 95%CI 2.2—7.1), evaluation at a high patient volume DMC (OR 3.2, 95% CI 1.7—6.3), and absence of legible patient contact information (OR 4.5, 95%CI 1.3—15.1) were significantly associated with PTLFU. Conclusions In an Indian mega-city, we found a high PTLFU rate, especially in patients with a prior TB history, who are at greater risk for having drug-resistance. Enhancing quality of care and health system transparency is critical for improving linkage of newly diagnosed patients to TB care in urban India. Electronic supplementary material The online version of this article (10.1186/s12879-018-3039-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Beena E Thomas
- Department of Social and Behavioral Research, National Institute for Research in Tuberculosis, No. 1, Mayor Sathiyamoorthy Road, Chetpet, Chennai, 600031, India.
| | - Ramnath Subbaraman
- Nutrition Infection Unit, Department of Public Health and Community Medicine, Tufts University School of Medicine, 136 Harrison Ave., Boston, 02111, USA.,Division of Geographic Medicine and Infectious Diseases, Tufts Medical Center, 260 Tremont St., Boston, 02111, USA
| | - Senthil Sellappan
- Department of Social and Behavioral Research, National Institute for Research in Tuberculosis, No. 1, Mayor Sathiyamoorthy Road, Chetpet, Chennai, 600031, India
| | - Chandra Suresh
- Department of Social and Behavioral Research, National Institute for Research in Tuberculosis, No. 1, Mayor Sathiyamoorthy Road, Chetpet, Chennai, 600031, India
| | - J Lavanya
- District Tuberculosis Office, No. 26 Pulianthope High Road, Pulianthope, Chennai, 600012, India
| | - Savari Lincy
- Department of Social and Behavioral Research, National Institute for Research in Tuberculosis, No. 1, Mayor Sathiyamoorthy Road, Chetpet, Chennai, 600031, India
| | - Agnes Lawrence Raja
- Department of Social and Behavioral Research, National Institute for Research in Tuberculosis, No. 1, Mayor Sathiyamoorthy Road, Chetpet, Chennai, 600031, India
| | - B Javeed
- Department of Social and Behavioral Research, National Institute for Research in Tuberculosis, No. 1, Mayor Sathiyamoorthy Road, Chetpet, Chennai, 600031, India
| | - S Kokila
- Department of Social and Behavioral Research, National Institute for Research in Tuberculosis, No. 1, Mayor Sathiyamoorthy Road, Chetpet, Chennai, 600031, India
| | - S Arumugam
- Department of Social and Behavioral Research, National Institute for Research in Tuberculosis, No. 1, Mayor Sathiyamoorthy Road, Chetpet, Chennai, 600031, India
| | - Soumya Swaminathan
- World Health Organization Headquarters, Avenue Appia 20, 1202, Geneva, Switzerland
| | - Kenneth H Mayer
- Division of Infectious Diseases, Beth Israel Deaconess Medical Center and Harvard Medical School, 110 Francis St., Boston, 02215, USA.,The Fenway Institute, 1340 Boylston St, 8th floor, Boston, MA, 02215, USA
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20
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Subbaraman R, Thomas BE, Sellappan S, Suresh C, Jayabal L, Lincy S, Raja AL, McFall A, Solomon SS, Mayer KH, Swaminathan S. Tuberculosis patients in an Indian mega-city: Where do they live and where are they diagnosed? PLoS One 2017; 12:e0183240. [PMID: 28813536 PMCID: PMC5557603 DOI: 10.1371/journal.pone.0183240] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2017] [Accepted: 08/01/2017] [Indexed: 12/18/2022] Open
Abstract
Objective Tuberculosis (TB) is a major source of mortality in urban India, with many structural challenges to optimal care delivery. In the government TB program in Chennai, India’s fourth most populous city, there is a 49% gap between the official number of smear-positive TB patients diagnosed and the official number registered in TB treatment within the city in 2014. We hypothesize that this “urban registration gap” is partly due to rural patients temporarily visiting the city for diagnostic evaluation. Methods We collected data for one month (May 2015) from 22 government designated microscopy centers (DMCs) in Chennai where 90% of smear-positive TB patients are diagnosed and coded patient addresses by location. We also analyzed the distribution of chest symptomatics (i.e., patients screened for TB because of pulmonary symptoms) and diagnosed smear-positive TB patients for all of Chennai’s 54 DMCs in 2014. Results At 22 DMCs in May 2015, 565 of 3,543 (15.9%) chest symptomatics and 71 of 412 (17.2%) diagnosed smear-positive patients had an address outside of Chennai. At the city’s four high patient volume DMCs, 54 of 270 (20.0%) smear-positive patients lived out-of-city. At one of these high-volume DMCs, 31 of 59 (52.5%) smear-positive patients lived out-of-city. Out of 6,135 smear-positive patients diagnosed in Chennai in 2014, 3,498 (57%) were diagnosed at the four high-volume DMCs. The 32 DMCs with the lowest patient volume diagnosed 10% of all smear-positive patients. Conclusions TB case detection in Chennai is centralized, with four high-volume DMCs making most diagnoses. One-sixth of patients are from outside the city, most of whom get evaluated at these high-volume DMCs. This calls for better coordination between high-volume city DMCs and rural TB units where many patients may take TB treatment. Patient mobility only partly explains Chennai’s urban registration gap, suggesting that pretreatment loss to follow-up of patients who live within the city may also be a major problem.
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Affiliation(s)
- Ramnath Subbaraman
- Division of Infectious Diseases, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Beena E. Thomas
- Department of Social and Behavioral Research, National Institute for Research in Tuberculosis, Chennai, India
- * E-mail:
| | - Senthil Sellappan
- Department of Social and Behavioral Research, National Institute for Research in Tuberculosis, Chennai, India
| | - Chandra Suresh
- Department of Social and Behavioral Research, National Institute for Research in Tuberculosis, Chennai, India
| | | | - Savari Lincy
- Department of Social and Behavioral Research, National Institute for Research in Tuberculosis, Chennai, India
| | - Agnes L. Raja
- Department of Social and Behavioral Research, National Institute for Research in Tuberculosis, Chennai, India
| | - Allison McFall
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Sunil Suhas Solomon
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Kenneth H. Mayer
- Division of Infectious Diseases, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, United States of America
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21
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Ayakaka I, Ackerman S, Ggita JM, Kajubi P, Dowdy D, Haberer JE, Fair E, Hopewell P, Handley MA, Cattamanchi A, Katamba A, Davis JL. Identifying barriers to and facilitators of tuberculosis contact investigation in Kampala, Uganda: a behavioral approach. Implement Sci 2017; 12:33. [PMID: 28274245 PMCID: PMC5343292 DOI: 10.1186/s13012-017-0561-4] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2016] [Accepted: 02/21/2017] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND The World Health Organization recommends routine household tuberculosis contact investigation in high-burden countries but adoption has been limited. We sought to identify barriers to and facilitators of TB contact investigation during its introduction in Kampala, Uganda. METHODS We collected cross-sectional qualitative data through focus group discussions and interviews with stakeholders, addressing three core activities of contact investigation: arranging household screening visits through index TB patients, visiting households to screen contacts and refer them to clinics, and evaluating at-risk contacts coming to clinics. We analyzed the data using a validated theory of behavior change, the Capability, Opportunity, and Motivation determine Behavior (COM-B) model, and sought to identify targeted interventions using the related Behavior Change Wheel implementation framework. RESULTS We led seven focus-group discussions with 61 health-care workers, two with 21 lay health workers (LHWs), and one with four household contacts of newly diagnosed TB patients. We, in addition, performed 32 interviews with household contacts from 14 households of newly diagnosed TB patients. Commonly noted barriers included stigma, limited knowledge about TB among contacts, insufficient time and space in clinics for counselling, mistrust of health-center staff among index patients and contacts, and high travel costs for LHWs and contacts. The most important facilitators identified were the personalized and enabling services provided by LHWs. We identified education, persuasion, enablement, modeling of health-positive behaviors, incentivization, and restructuring of the service environment as relevant intervention functions with potential to alleviate barriers to and enhance facilitators of TB contact investigation. CONCLUSIONS The use of a behavioral theory and a validated implementation framework provided a comprehensive approach for systematically identifying barriers to and facilitators of TB contact investigation. The behavioral determinants identified here may be useful in tailoring interventions to improve implementation of contact investigation in Kampala and other similar urban settings.
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Affiliation(s)
- Irene Ayakaka
- Uganda Tuberculosis Implementation Research Consortium, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Sara Ackerman
- Department of Social and Behavioral Sciences, School of Nursing, University of California, San Francisco, CA USA
| | - Joseph M. Ggita
- Uganda Tuberculosis Implementation Research Consortium, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Phoebe Kajubi
- Child Health and Development Centre, School of Medicine; College of Health Sciences, Makerere University, Kampala, Uganda
| | - David Dowdy
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland USA
| | - Jessica E. Haberer
- Center for Global Health, Massachusetts General Hospital, and Harvard University Medical School, Boston, MA USA
| | - Elizabeth Fair
- Division of Pulmonary and Critical Care Medicine, and Curry International Tuberculosis Center, San Francisco General Hospital, University of California, San Francisco, CA USA
| | - Philip Hopewell
- Division of Pulmonary and Critical Care Medicine, and Curry International Tuberculosis Center, San Francisco General Hospital, University of California, San Francisco, CA USA
| | - Margaret A. Handley
- Department of Biostatistics and Epidemiology, School of Medicine, University of California, San Francisco, CA USA
- Division of General Internal Medicine, San Francisco General Hospital, University of California, San Francisco, CA USA
| | - Adithya Cattamanchi
- Division of Pulmonary and Critical Care Medicine, and Curry International Tuberculosis Center, San Francisco General Hospital, University of California, San Francisco, CA USA
| | - Achilles Katamba
- Clinical Epidemiology Unit, Department of Medicine, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
| | - J. Lucian Davis
- Department of Epidemiology of Microbial Diseases, School of Public Health, and Pulmonary, Critical Care, and Sleep Medicine Section, School of Medicine, Yale University, New Haven, CT USA
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22
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Cazabon D, Alsdurf H, Satyanarayana S, Nathavitharana R, Subbaraman R, Daftary A, Pai M. Quality of tuberculosis care in high burden countries: the urgent need to address gaps in the care cascade. Int J Infect Dis 2017; 56:111-116. [PMID: 27794468 PMCID: PMC5346036 DOI: 10.1016/j.ijid.2016.10.016] [Citation(s) in RCA: 116] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2016] [Revised: 10/14/2016] [Accepted: 10/18/2016] [Indexed: 10/20/2022] Open
Abstract
Despite the high coverage of directly observed treatment short-course (DOTS), tuberculosis (TB) continues to affect 10.4 million people each year, and kills 1.8 million. High TB mortality, the large number of missing TB cases, the emergence of severe forms of drug resistance, and the slow decline in TB incidence indicate that merely expanding the coverage of TB services is insufficient to end the epidemic. In the era of the End TB Strategy, we need to think beyond coverage and start focusing on the quality of TB care that is routinely offered to patients in high burden countries, in both public and private sectors. In this review, current evidence on the quality of TB care in high burden countries, major gaps in the quality of care, and some novel efforts to measure and improve the quality of care are described. Based on systematic reviews on the quality of TB care or surrogates of quality (e.g., TB diagnostic delays), analyses of TB care cascades, and newer studies that directly measure quality of care, it is shown that the quality of care in both the public and private sector falls short of international standards and urgently needs improvement. National TB programs will therefore need to systematically measure and improve quality of TB care and invest in quality improvement programs.
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Affiliation(s)
- Danielle Cazabon
- McGill International TB Centre, McGill University, 1020 Pine Ave West, Montreal, QC H3A 1A2, Canada
| | - Hannah Alsdurf
- McGill International TB Centre, McGill University, 1020 Pine Ave West, Montreal, QC H3A 1A2, Canada
| | - Srinath Satyanarayana
- McGill International TB Centre, McGill University, 1020 Pine Ave West, Montreal, QC H3A 1A2, Canada
| | - Ruvandhi Nathavitharana
- Division of Infectious Diseases, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Ramnath Subbaraman
- Division of Infectious Diseases, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Amrita Daftary
- McGill International TB Centre, McGill University, 1020 Pine Ave West, Montreal, QC H3A 1A2, Canada; CAPRISA MRC HIV-TB Pathogenesis and Treatment Research Unit, University of KwaZulu-Natal, South Africa
| | - Madhukar Pai
- McGill International TB Centre, McGill University, 1020 Pine Ave West, Montreal, QC H3A 1A2, Canada; Manipal McGill Centre for Infectious Diseases, Manipal University, Manipal, India.
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