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Seloma NM, Makgatho ME, Maimela E. Evaluation of drug-resistant tuberculosis treatment outcome in Limpopo province, South Africa. Afr J Prim Health Care Fam Med 2023; 15:e1-e7. [PMID: 37526555 PMCID: PMC10476443 DOI: 10.4102/phcfm.v15i1.3764] [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: 07/29/2022] [Revised: 01/06/2023] [Accepted: 01/22/2023] [Indexed: 08/02/2023] Open
Abstract
BACKGROUND South Africa has the second-highest tuberculosis (TB) incidence globally. Drug-resistant TB (DR-TB) treatment has less successful treatment outcomes as compared with susceptible TB, and it hinders TB control and management programmes. AIM This study aimed to evaluate drug-resistant TB treatment outcomes and factors associated with successful treatment outcomes. SETTING The study was conducted in five districts in Limpopo province. METHODS The study design was retrospective and descriptive. Patients' demographic data, data on clinical characteristics and treatment outcomes data were extracted from the electronic drug-resistant tuberculosis register (EDRWeb) database system for the period, 2010-2018, in Limpopo province. Frequency, percentages and bivariate and multivariate logistic regression were used to analyse data using Statistical Package for Social Sciences version 27.0. The significance difference was determined at a 95% confidence interval and p 0.05. RESULTS A total of 385 drug-resistant records were included in this study. The treatment success rate was 223 (57.9%). A total of 197 (51.2%) patients were cured, 26 (6.8%) completed treatment, 19 (4.9%) treatment failure, 62 (16.1%) died, 78 (20.6%) were recorded as the loss to follow-up, 1 (0.3%) moved to another country and 2 (0.5%) were transferred out. CONCLUSION The treatment success rate was 57.9%, which is still below targets set by National Strategic Plan in South Africa and World Health Organization End TB targets.Contribution: The findings of the study reveal that to achieve successful DR-TB control programme and attain End TB targets, monitoring of treatment outcomes is crucial.
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Affiliation(s)
- Ngwanamohuba M Seloma
- Department of Pathology and Medical Sciences, Faculty of Health Sciences, University of Limpopo, Polokwane.
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Silitonga P, Jiang W, Wyatt S, Burhan E, Kes EFM, Long Q, Long Q. Factors affecting time to treatment initiation after diagnosis for multidrug-resistant/rifampicin-resistant tuberculosis patients: A mixed-methods study in Jakarta, Indonesia. Trop Med Int Health 2023; 28:43-52. [PMID: 36477995 DOI: 10.1111/tmi.13838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE To investigate the time to treatment initiation (TTI) for multidrug-resistant/rifampicin-resistant tuberculosis (MDR/RR-TB) patients after diagnosis in Indonesia and biological, psychological and social factors associated with the time interval. METHODS This study was conducted in Persahabatan Hospital, Jakarta using a mixed-methods approach. Registry data and medical records of MDR/RR-TB patients were collected and matched (hospital dataset), and linked with psychosocial assessment results (linked dataset). Descriptive analysis was conducted to understand patient characteristics and the distribution of TTI after RR-TB diagnosis by GeneXpert. Generalised linear regression was used to analyse factors associated with delay duration, and logistic regression to explore factors associated with the delay longer than the median duration for both datasets (basic vs. extended model). In-depth interviews were conducted with patients and healthcare workers to understand the procedure of treatment initiation and how different factors led to delay. RESULTS The hospital dataset included 275 patient-matched cases, and 188 were further linked with psychosocial assessment results. The median time interval was 24 days [interquartile range (IQR) 23.5] and 26 days (IQR 21.25), respectively. Regression analysis showed that in the extended model, comorbidities (exp [coefficient]= 1.93), unemployment (exp [coefficient] = 1.80) and poor knowledge of MDR/RR-TB (exp (coefficient) = 1.67) seemed to have the strongest effects on prolonging the time interval (p < 0.05). Unsuccessful TB treatment history was the only factor that significantly increased the risk of delay longer than the median duration (p < 0.05) in the basic model, while none of the factors were significant in the extended model. The qualitative study identified provider-side factors (centralised service provision and insufficient human resources) and patient-side factors (physical weakness, psychological stress and financial concern) associated with treatment delay. CONCLUSION MDR/RR-TB patients in Persahabatan Hospital, Jakarta, Indonesia waited around 25 days for treatment initiation after RR-TB diagnosis. Health system solutions are needed to address challenges facing both MDR/RR-TB patients and healthcare providers to reduce delay in treatment initiation.
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Affiliation(s)
- Permata Silitonga
- Global Health Research Center, Duke Kunshan University, Kunshan, China
| | - Weixi Jiang
- School of Public Health, Fudan University, Shanghai, China
| | - Sage Wyatt
- Faculty of Medicine, University of Bergen, Bergen, Norway
| | - Erlina Burhan
- Department of Pulmonology and Respiratory Medicine, Faculty of Medicine, Universitas Indonesia-Persahabatan Hospital, Jakarta, Indonesia
| | | | - Qian Long
- Global Health Research Center, Duke Kunshan University, Kunshan, China
| | - Qian Long
- Global Health Research Center Duke Kunshan University Kunshan Jiangsu China
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Lee JH, Garg T, Lee J, McGrath S, Rosman L, Schumacher SG, Benedetti A, Qin ZZ, Gore G, Pai M, Sohn H. Impact of molecular diagnostic tests on diagnostic and treatment delays in tuberculosis: a systematic review and meta-analysis. BMC Infect Dis 2022; 22:940. [PMID: 36517736 PMCID: PMC9748908 DOI: 10.1186/s12879-022-07855-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 11/08/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Countries with high TB burden have expanded access to molecular diagnostic tests. However, their impact on reducing delays in TB diagnosis and treatment has not been assessed. Our primary aim was to summarize the quantitative evidence on the impact of nucleic acid amplification tests (NAAT) on diagnostic and treatment delays compared to that of the standard of care for drug-sensitive and drug-resistant tuberculosis (DS-TB and DR-TB). METHODS We searched MEDLINE, EMBASE, Web of Science, and the Global Health databases (from their inception to October 12, 2020) and extracted time delay data for each test. We then analysed the diagnostic and treatment initiation delay separately for DS-TB and DR-TB by comparing smear vs Xpert for DS-TB and culture drug sensitivity testing (DST) vs line probe assay (LPA) for DR-TB. We conducted random effects meta-analyses of differences of the medians to quantify the difference in diagnostic and treatment initiation delay, and we investigated heterogeneity in effect estimates based on the period the test was used in, empiric treatment rate, HIV prevalence, healthcare level, and study design. We also evaluated methodological differences in assessing time delays. RESULTS A total of 45 studies were included in this review (DS = 26; DR = 20). We found considerable heterogeneity in the definition and reporting of time delays across the studies. For DS-TB, the use of Xpert reduced diagnostic delay by 1.79 days (95% CI - 0.27 to 3.85) and treatment initiation delay by 2.55 days (95% CI 0.54-4.56) in comparison to sputum microscopy. For DR-TB, use of LPAs reduced diagnostic delay by 40.09 days (95% CI 26.82-53.37) and treatment initiation delay by 45.32 days (95% CI 30.27-60.37) in comparison to any culture DST methods. CONCLUSIONS Our findings indicate that the use of World Health Organization recommended diagnostics for TB reduced delays in diagnosing and initiating TB treatment. Future studies evaluating performance and impact of diagnostics should consider reporting time delay estimates based on the standardized reporting framework.
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Affiliation(s)
- Jae Hyoung Lee
- grid.21107.350000 0001 2171 9311Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, USA
| | - Tushar Garg
- grid.21107.350000 0001 2171 9311Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA
| | - Jungsil Lee
- grid.8991.90000 0004 0425 469XLondon School of Hygiene & Tropical Medicine, London, UK
| | - Sean McGrath
- grid.38142.3c000000041936754XDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, USA
| | - Lori Rosman
- grid.21107.350000 0001 2171 9311Welch Medical Library, John Hopkins University School of Medicine, Baltimore, USA
| | - Samuel G. Schumacher
- grid.452485.a0000 0001 1507 3147Foundation for Innovative New Diagnostics, Geneva, Switzerland
| | - Andrea Benedetti
- grid.14709.3b0000 0004 1936 8649Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada ,grid.63984.300000 0000 9064 4811Respiratory Epidemiology & Clinical Research Unit, McGill University Health Centre, Montreal, Canada
| | | | - Genevieve Gore
- grid.14709.3b0000 0004 1936 8649Schulich Library of Physical Sciences, Life Sciences, and Engineering, McGill University, Montreal, Canada
| | - Madhukar Pai
- grid.14709.3b0000 0004 1936 8649McGill International TB Centre, McGill University, Montreal, Canada
| | - Hojoon Sohn
- grid.31501.360000 0004 0470 5905Department of Preventive Medicine, College of Medicine, Seoul National University, Seoul, South Korea
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Leavitt SV, Jacobson KR, Ragan EJ, Bor J, Hughes J, Bouton TC, Dolby T, Warren RM, Jenkins HE. Decentralized Care for Rifampin-Resistant Tuberculosis, Western Cape, South Africa. Emerg Infect Dis 2021; 27:728-739. [PMID: 33622466 PMCID: PMC7920662 DOI: 10.3201/eid2703.203204] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
In 2011, South Africa implemented a policy to decentralize treatment for rifampin-resistant tuberculosis (TB) to reduce durations of hospitalization and enable local treatment. We assessed policy implementation in Western Cape Province, where services expanded from 6 specialized TB hospitals to 406 facilities, by analyzing National Health Laboratory Service data on TB during 2012-2015. We calculated the percentage of patients who visited a TB hospital <1 year after rifampin-resistant TB diagnosis, the median duration of their hospitalizations, and the total distance between facilities visited. We assessed temporal changes with linear regression and stratified results by location. Of 2,878 patients, 65% were from Cape Town. In Cape Town, 29% visited a TB hospital; elsewhere, 68% visited a TB hospital. We found that hospitalizations and travel distances were shorter in Cape Town than in the surrounding areas.
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Tefera KT, Mesfin N, Reta MM, Sisay MM, Tamirat KS, Akalu TY. Treatment delay and associated factors among adults with drug resistant tuberculosis at treatment initiating centers in the Amhara regional state, Ethiopia. BMC Infect Dis 2019; 19:489. [PMID: 31151423 PMCID: PMC6544973 DOI: 10.1186/s12879-019-4112-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Accepted: 05/20/2019] [Indexed: 11/10/2022] Open
Abstract
Background A delayed initiation of tuberculosis treatment results in high morbidity, mortality, and increased person-to-person transmissions. The aim of this study was to assess treatment delay and its associated factors among adult drug resistant tuberculosis patients in the Amhara Regional State, Ethiopia. Methods An institution based cross-sectional study was conducted on all adult drug resistant tuberculosis patients who initiated treatment from September 2010 to December 2017. Data were collected from patient charts, registration books, and computer databases using abstraction sheets. The data were entered using Epi-info version 7 and exported to SPSS version 20 for analysis. Summary statistics, like means, medians, and proportions were used to present it. Binary logistic regression was fitted; Adjusted Odds Ratio (AOR) with a 95% Confidence Interval (CI) was also computed. Variables with p-value < 0.05 in the multi-variable logistic regression model was declared as significantly associated with treatment delay. Results The median time to commence treatment after drug resistant tuberculosis diagnosis was 8 (IQR: 3–37) days. Being diagnosed by Line probe assay [AOR = 5.59; 95% CI: 3.48–8.98], Culture [AOR = 5.15; 95% CI: 2.53–10.47], and history of injectable anti-TB drugs [AOR = 2.12; 95% CI: 1.41–3.19] were associated with treatment delays. Conclusion Treatment delay was long, especially among patients diagnosed by Culture or LPA and those who had a prior history of injectable anti-TB drugs. That suggested that the need for universal accesses to rapid molecular diagnostic tests, such as Gene Xpert and the PMDT team were needed to promptly decide to minimize unnecessary delays.
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Affiliation(s)
| | - Nebiyu Mesfin
- Department of Internal Medicine, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Mebratu Mitiku Reta
- Department of Internal Medicine, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Malede Mequanent Sisay
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Koku Sisay Tamirat
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
| | - Temesgen Yihunie Akalu
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
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Soeroto AY, Lestari BW, Santoso P, Chaidir L, Andriyoko B, Alisjahbana B, van Crevel R, Hill PC. Evaluation of Xpert MTB-RIF guided diagnosis and treatment of rifampicin-resistant tuberculosis in Indonesia: A retrospective cohort study. PLoS One 2019; 14:e0213017. [PMID: 30818352 PMCID: PMC6394995 DOI: 10.1371/journal.pone.0213017] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2018] [Accepted: 02/13/2019] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Rifampicin-resistant tuberculosis (RR-TB) is largely underdetected in Indonesia. Xpert MTB/RIF (Xpert) has recently been introduced, prioritizing patients at risk of RR-TB, followed by phenotypic drug-susceptibility (DST) if rifampicin resistance is detected. OBJECTIVE This study investigated Xpert-based management of presumptive RR-TB cases under routine practice in West Java, Indonesia. METHODS We examined all records of patients tested with Xpert in the referral hospital for West Java in 2015-2016. We measured loss across a limited cascade of care, time to Xpert diagnosis and the commencement of initial second-line treatment, and identified factors associated with diagnostic and treatment delay. Additionally, we analyzed the appropriateness of treatment according to DST results. RESULTS Of 3415 patients with presumptive RR-TB, 3215 (94%) were tested by Xpert, of whom 339 (10.5%) were diagnosed as RR-TB. 288 (85%) of 339 RR-TB patients started initial second-line TB treatment, with 48 (14%) patients being lost between diagnosis and pre-treatment assessment. Second-line treatment was commenced at a median of 41 days (IQR 29-70) after RR-TB diagnosis. Delays in both diagnosis and treatment initiation were observed in 104 (52%) of 201 RR-TB patients with identifiable referral date. Rural residence was associated with delay to diagnosis (adjusted OR 2.7; 95%CI 1.5-5.2) and treatment initiation (adjusted OR 2.0; 1.2-3.4). Of 162 patients with available DST result, 107 (66%) had multidrug-resistant tuberculosis (MDR-TB) and 32 (20%) had either pre-extensively drug resistant (pre-XDR) or extensively drug resistant tuberculosis (XDR-TB). We estimated that with the current algorithm 41% of pre-XDR or XDR-TB patients are diagnosed, and 33% of them started on an appropriate treatment regimen. CONCLUSIONS Many patients with Xpert-diagnosed RR-TB either do not start MDR-TB treatment or encountered diagnostic and treatment delays under programmatic conditions in Indonesia, and most pre-XDR and XDR-TB cases remain undiagnosed. Further expansion and ongoing quality improvement of RR-TB services are urgently needed.
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Affiliation(s)
- Arto Yuwono Soeroto
- Department of Internal Medicine, Respirology and Critical Illness Division, Faculty of Medicine Universitas Padjadjaran, Hasan Sadikin General Hospital, Bandung, Indonesia
| | - Bony Wiem Lestari
- Department of Public Health, Faculty of Medicine Universitas Padjadjaran, Bandung, Indonesia
- TB-HIV Research Center, Faculty of Medicine Universitas Padjadjaran, Bandung, Indonesia
- Department of Internal Medicine, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
- * E-mail: ,
| | - Prayudi Santoso
- Department of Internal Medicine, Respirology and Critical Illness Division, Faculty of Medicine Universitas Padjadjaran, Hasan Sadikin General Hospital, Bandung, Indonesia
| | - Lidya Chaidir
- TB-HIV Research Center, Faculty of Medicine Universitas Padjadjaran, Bandung, Indonesia
| | - Basti Andriyoko
- Department of Clinical Pathology, Faculty of Medicine Universitas Padjadjaran, Hasan Sadikin General Hospital, Bandung, Indonesia
| | - Bachti Alisjahbana
- TB-HIV Research Center, Faculty of Medicine Universitas Padjadjaran, Bandung, Indonesia
| | - Reinout van Crevel
- Department of Internal Medicine, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Philip C. Hill
- Center for International Health, University of Otago, Dunedin, New Zealand
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Evans D, Sineke T, Schnippel K, Berhanu R, Govathson C, Black A, Long L, Rosen S. Impact of Xpert MTB/RIF and decentralized care on linkage to care and drug-resistant tuberculosis treatment outcomes in Johannesburg, South Africa. BMC Health Serv Res 2018; 18:973. [PMID: 30558670 PMCID: PMC6296148 DOI: 10.1186/s12913-018-3762-x] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Accepted: 11/23/2018] [Indexed: 11/16/2022] Open
Abstract
Background In 2011, South Africa improved its ability to test for rifampicin-resistant TB (RR-TB) by introducing GeneXpert MTB/RIF. At the same time, the South African National TB program adopted a policy decentralized, outpatient treatment for drug resistant (DR-) TB. We aim to analyze the impact of these changes on linkage to care and DR-TB treatment outcomes. Methods We retrospectively matched adult patients diagnosed with laboratory-confirmed RR-TB in Johannesburg from 07/2011–06/2012 (early cohort) and 07/2013–06/2014 (late cohort) with records of patients initiating DR-TB treatment at one of the city’s four public sector treatment sites. We determine the proportion of persons diagnosed with RR-TB who initiated DR-TB treatment and report time to treatment initiation (TTI) before and after the implementation of Xpert MTB/RIF roll-out in Johannesburg, South Africa. We conducted a sub-analysis among those who initiated DR-TB treatment at the decentralized outpatient DR-TB centers to determine if delays in treatment initiation have a subsequent impact on treatment outcomes. Results Five hundred ninety four patients were enrolled in the early cohort versus 713 in the late cohort. 53.8 and 36.8% of patients were diagnosed with multi-drug resistant TB in the early and late cohorts, respectively. The proportion of RR-TB confirmed cases diagnosed by Xpert MTB/RIF increased from 43.4 to 60.5% between the early and late cohorts, respectively. The proportion who initiated treatment increased from 43.1% (n = 256) to 60.3% (n = 430) in the late cohort. Pre-treatment mortality during the early and the late cohort reduced significantly from 17.5 to 5.8% while lost to follow-up remained high. Although TTI reduced by a median of 19 days, from 33 days (IQR 12–52) in the early cohort to 14 days (IQR 7–31) in the late cohort, this did not translate to improved treatment outcomes and we found no difference in terms of treatment success or on-treatment mortality for those that initiated without delay vs. those that deferred initiation. Conclusion Pre-treatment mortality reduced significantly during late Xpert MTB/RIF coverage but there was no significant difference after treatment was initiated. Despite improvements there is still a significant diagnosis and treatment gap for patients diagnosed with RR-TB and improving treatment outcomes remains critical. Electronic supplementary material The online version of this article (10.1186/s12913-018-3762-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Denise Evans
- Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
| | - Tembeka Sineke
- Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Kathryn Schnippel
- Health Economics Unit, School of Public Health and Family Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Rebecca Berhanu
- Division of Infectious Diseases, University of North Carolina, Chapel Hill, NC, USA
| | - Caroline Govathson
- Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Andrew Black
- Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Lawrence Long
- Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Department of Global Health, Boston University School of Public Health, Boston, MA, USA
| | - Sydney Rosen
- Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Department of Global Health, Boston University School of Public Health, Boston, MA, USA
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