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Marquez C, Atukunda M, Nugent J, Charlebois ED, Chamie G, Mwangwa F, Ssemmondo E, Kironde J, Kabami J, Owaraganise A, Kakande E, Ssekaynzi B, Abbott R, Ayieko J, Ruel T, Kwariisima D, Kamya M, Petersen M, Havlir DV, Balzer LB. Community-Wide Universal HIV Test and Treat Intervention Reduces Tuberculosis Transmission in Rural Uganda: A Cluster-Randomized Trial. Clin Infect Dis 2024; 78:1601-1607. [PMID: 38226445 PMCID: PMC11175690 DOI: 10.1093/cid/ciad776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Indexed: 01/17/2024] Open
Abstract
BACKGROUND Human immunodeficiency virus (HIV) treatment reduces tuberculosis (TB) disease and mortality; however, the population-level impact of universal HIV-test-and-treat interventions on TB infection and transmission remain unclear. METHODS In a sub-study nested in the SEARCH trial, a community cluster-randomized trial (NCT01864603), we assessed whether a universal HIV-test-and-treat intervention reduced population-level incident TB infection in rural Uganda. Intervention communities received annual, population-level HIV testing and patient-centered linkage. Control communities received population-level HIV testing at baseline and endline. We compared estimated incident TB infection by arms, defined by tuberculin skin test conversion in a cohort of persons aged 5 and older, adjusting for participation and predictors of infection, and accounting for clustering. RESULTS Of the 32 trial communities, 9 were included, comprising 90 801 participants (43 127 intervention and 47 674 control). One-year cumulative incidence of TB infection was 16% in the intervention and 22% in the control; SEARCH reduced the population-level risk of incident TB infection by 27% (adjusted risk ratio = 0.73; 95% confidence interval [CI]: .57-.92, P = .005). In pre-specified analyses, the effect was largest among children aged 5-11 years and males. CONCLUSIONS A universal HIV-test-and-treat intervention reduced incident TB infection, a marker of population-level TB transmission. Investments in community-level HIV interventions have broader population-level benefits, including TB reductions.
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Affiliation(s)
- Carina Marquez
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, California, USA
| | | | - Joshua Nugent
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Edwin D Charlebois
- Center for AIDS Prevention Studies (CAPS), University of California, San Francisco, California, USA
| | - Gabriel Chamie
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, California, USA
| | | | | | - Joel Kironde
- Infectious Diseases Research Collaboration, Kampala, Uganda
| | - Jane Kabami
- Infectious Diseases Research Collaboration, Kampala, Uganda
| | | | - Elijah Kakande
- Infectious Diseases Research Collaboration, Kampala, Uganda
| | - Bob Ssekaynzi
- Infectious Diseases Research Collaboration, Kampala, Uganda
| | - Rachel Abbott
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, California, USA
| | - James Ayieko
- Infectious Diseases Research Collaboration, Kampala, Uganda
| | - Theodore Ruel
- Department of Pediatrics, University of California, San Francisco, California, USA
| | | | - Moses Kamya
- Infectious Diseases Research Collaboration, Kampala, Uganda
- School of Medicine, Makerere University, Kampala, Uganda
| | - Maya Petersen
- Division of Biostatistics, School of Public Health University of California, Berkeley, California, USA
| | - Diane V Havlir
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, California, USA
| | - Laura B Balzer
- Division of Biostatistics, School of Public Health University of California, Berkeley, California, USA
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2
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Havlir D, Kamya MR, Petersen M. Integrated HIV, diabetes, and hypertension care in sub-Saharan Africa. Lancet 2024; 403:2291-2292. [PMID: 38796205 DOI: 10.1016/s0140-6736(24)00632-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 03/25/2024] [Indexed: 05/28/2024]
Affiliation(s)
- Diane Havlir
- Department of Medicine, University of California, San Francisco, CA 94110, USA.
| | - Moses R Kamya
- Department of Medicine, Makerere University, Kampala, Uganda; Infectious Diseases Research Collaboration, Kampala, Uganda
| | - Maya Petersen
- School of Public Health, University of California, Berkeley, CA, USA
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3
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Rakers M, van Hattem N, Plag S, Chavannes N, van Os HJA, Vos RC. Population health interventions for cardiometabolic diseases in primary care: a scoping review and RE-AIM evaluation of current practices. Front Med (Lausanne) 2024; 10:1275267. [PMID: 38239619 PMCID: PMC10794664 DOI: 10.3389/fmed.2023.1275267] [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: 08/09/2023] [Accepted: 12/13/2023] [Indexed: 01/22/2024] Open
Abstract
Introduction Cardiometabolic diseases (CMD) are the leading cause of death in high-income countries and are largely attributable to modifiable risk factors. Population health management (PHM) can effectively identify patient subgroups at high risk of CMD and address missed opportunities for preventive disease management. Guided by the Reach, Efficacy, Adoption, Implementation and Maintenance (RE-AIM) framework, this scoping review of PHM interventions targeting patients in primary care at increased risk of CMD aims to describe the reported aspects for successful implementation. Methods A comprehensive search was conducted across 14 databases to identify papers published between 2000 and 2023, using Arksey and O'Malley's framework for conducting scoping reviews. The RE-AIM framework was used to assess the implementation, documentation, and the population health impact score of the PHM interventions. Results A total of 26 out of 1,100 studies were included, representing 21 unique PHM interventions. This review found insufficient reporting of most RE-AIM components. The RE-AIM evaluation showed that the included interventions could potentially reach a large audience and achieve their intended goals, but information on adoption and maintenance was often lacking. A population health impact score was calculated for six interventions ranging from 28 to 62%. Discussion This review showed the promise of PHM interventions that could reaching a substantial number of participants and reducing CMD risk factors. However, to better assess the generalizability and scalability of these interventions there is a need for an improved assessment of adoption, implementation processes, and sustainability.
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Affiliation(s)
- Margot Rakers
- Department of Public Health and Primary Care, Leiden University Medical Centre, Leiden, Netherlands
| | - Nicoline van Hattem
- Department of Public Health and Primary Care, Leiden University Medical Centre, Leiden, Netherlands
| | - Sabine Plag
- Health Campus the Hague, Leiden University Medical Center, The Hague, Netherlands
| | - Niels Chavannes
- Department of Public Health and Primary Care, Leiden University Medical Centre, Leiden, Netherlands
| | - Hendrikus J. A. van Os
- Department of Public Health and Primary Care, Leiden University Medical Centre, Leiden, Netherlands
| | - Rimke C. Vos
- Health Campus the Hague, Leiden University Medical Center, The Hague, Netherlands
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Pearson TA, Vitalis D, Pratt C, Campo R, Armoundas AA, Au D, Beech B, Brazhnik O, Chute CG, Davidson KW, Diez-Roux AV, Fine LJ, Gabriel D, Groenveld P, Hall J, Hamilton AB, Hu H, Ji H, Kind A, Kraus WE, Krumholz H, Mensah GA, Merchant RM, Mozaffarian D, Murray DM, Neumark-Sztainer D, Petersen M, Goff D. The Science of Precision Prevention: Research Opportunities and Clinical Applications to Reduce Cardiovascular Health Disparities. JACC. ADVANCES 2024; 3:100759. [PMID: 38375059 PMCID: PMC10876066 DOI: 10.1016/j.jacadv.2023.100759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
Precision prevention embraces personalized prevention but includes broader factors such as social determinants of health to improve cardiovascular health. The quality, quantity, precision, and diversity of data relatable to individuals and communities continue to expand. New analytical methods can be applied to these data to create tools to attribute risk, which may allow a better understanding of cardiovascular health disparities. Interventions using these analytic tools should be evaluated to establish feasibility and efficacy for addressing cardiovascular disease disparities in diverse individuals and communities. Training in these approaches is important to create the next generation of scientists and practitioners in precision prevention. This state-of-the-art review is based on a workshop convened to identify current gaps in knowledge and methods used in precision prevention intervention research, discuss opportunities to expand trials of implementation science to close the health equity gaps, and expand the education and training of a diverse precision prevention workforce.
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Affiliation(s)
- Thomas A. Pearson
- College of Medicine and College of Public Health and Health Professions, University of Florida Health Science Center, Gainesville, Florida, USA
| | - Debbie Vitalis
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Charlotte Pratt
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Rebecca Campo
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Antonis A. Armoundas
- Cardiovascular Research Center, Massachusetts General Hospital and Broad Institute, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - David Au
- Center of Innovation for Veteran-Centered and Value-Driven Care, University of Washington, Seattle, Washington, USA
| | - Bettina Beech
- UH Population Health, University of Houston, Houston, Texas, USA
| | - Olga Brazhnik
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Christopher G. Chute
- Johns Hopkins Medicine, Institute for Clinical and Translational Research, Baltimore, Maryland, USA
| | - Karina W. Davidson
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New Hyde Park, New York, USA
- Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, USA
| | - Ana V. Diez-Roux
- Urban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, Pennsylvania, USA
| | - Lawrence J. Fine
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Davera Gabriel
- Biomedical Informatics and Data Science Section, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Peter Groenveld
- Center for Health Care Transformation and Innovation, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Jaclyn Hall
- Department of Health Outcomes and Biomedical Informatics, Institute for Child Health Policy, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Alison B. Hamilton
- Center for the Study of Healthcare Innovation, Implementation & Policy, VA Greater Los Angeles Healthcare System, Los Angeles, California, USA
| | - Hui Hu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Heng Ji
- Department of Computer Science, University of Illinois Urbana-Champaign, Champaign, Illinois, USA
| | - Amy Kind
- Center for Health Disparities Research (CHDR), University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - William E. Kraus
- Duke Molecular Physiology Institute, School of Medicine, Duke University, Durham, North Carolina, USA
| | - Harlan Krumholz
- Institute for Social and Policy Studies, of Investigative Medicine and of Public Health (Health Policy), Yale University, New Haven, Connecticut, USA
| | - George A. Mensah
- Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Raina M. Merchant
- Center for Health Care Transformation and Innovation, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Dariush Mozaffarian
- Friedman School of Nutrition Science & Policy, Tufts University, Medford, Massachusetts, USA
| | - David M. Murray
- Office of Disease Prevention, National Institutes of Health, Bethesda, Maryland, USA
| | - Dianne Neumark-Sztainer
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Maya Petersen
- Division of Biostatistics, and UCSF-UC Berkeley Program in Computational Precision Health, School of Public Health, University of California-Berkeley, Berkeley, California, USA
- University of California-San Francisco, San Francisco, California, USA
| | - David Goff
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
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Smith MJ, Phillips RV, Luque-Fernandez MA, Maringe C. Application of targeted maximum likelihood estimation in public health and epidemiological studies: a systematic review. Ann Epidemiol 2023; 86:34-48.e28. [PMID: 37343734 DOI: 10.1016/j.annepidem.2023.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 05/24/2023] [Accepted: 06/06/2023] [Indexed: 06/23/2023]
Abstract
PURPOSE The targeted maximum likelihood estimation (TMLE) statistical data analysis framework integrates machine learning, statistical theory, and statistical inference to provide a least biased, efficient, and robust strategy for estimation and inference of a variety of statistical and causal parameters. We describe and evaluate the epidemiological applications that have benefited from recent methodological developments. METHODS We conducted a systematic literature review in PubMed for articles that applied any form of TMLE in observational studies. We summarized the epidemiological discipline, geographical location, expertize of the authors, and TMLE methods over time. We used the Roadmap of Targeted Learning and Causal Inference to extract key methodological aspects of the publications. We showcase the contributions to the literature of these TMLE results. RESULTS Of the 89 publications included, 33% originated from the University of California at Berkeley, where the framework was first developed by Professor Mark van der Laan. By 2022, 59% of the publications originated from outside the United States and explored up to seven different epidemiological disciplines in 2021-2022. Double-robustness, bias reduction, and model misspecification were the main motivations that drew researchers toward the TMLE framework. Through time, a wide variety of methodological, tutorial, and software-specific articles were cited, owing to the constant growth of methodological developments around TMLE. CONCLUSIONS There is a clear dissemination trend of the TMLE framework to various epidemiological disciplines and to increasing numbers of geographical areas. The availability of R packages, publication of tutorial papers, and involvement of methodological experts in applied publications have contributed to an exponential increase in the number of studies that understood the benefits and adoption of TMLE.
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Affiliation(s)
- Matthew J Smith
- Inequalities in Cancer Outcomes Network, London School of Hygiene and Tropical Medicine, London, UK.
| | - Rachael V Phillips
- Division of Biostatistics, School of Public Health, University of California at Berkeley, Berkeley, CA
| | - Miguel Angel Luque-Fernandez
- Inequalities in Cancer Outcomes Network, London School of Hygiene and Tropical Medicine, London, UK; Department of Statistics and Operations Research, University of Granada, Granada, Spain
| | - Camille Maringe
- Inequalities in Cancer Outcomes Network, London School of Hygiene and Tropical Medicine, London, UK
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Hines JZ, Prieto JT, Itoh M, Fwoloshi S, Zyambo KD, Sivile S, Mweemba A, Chisemba P, Kakoma E, Zachary D, Chitambala C, Minchella PA, Mulenga LB, Agolory S. Hypertension among persons living with HIV-Zambia, 2021; A cross-sectional study of a national electronic health record system. PLOS GLOBAL PUBLIC HEALTH 2023; 3:e0001686. [PMID: 37428721 DOI: 10.1371/journal.pgph.0001686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 06/07/2023] [Indexed: 07/12/2023]
Abstract
Hypertension is a major risk factor for cardiovascular disease, which is a common cause of death in Zambia. Data on hypertension prevalence in Zambia are scarce and limited to specific geographic areas and/or populations. We measured hypertension prevalence among persons living with HIV (PLHIV) in Zambia using a national electronic health record (EHR) system. We did a cross-sectional study of hypertension prevalence among PLHIV aged ≥18 years during 2021. Data were extracted from the SmartCare EHR, which covers ~90% of PLHIV on treatment in Zambia. PLHIV with ≥2 clinical visits in 2021 were included. Hypertension was defined as ≥2 elevated blood pressure readings (systolic ≥140 mmHg/diastolic ≥90 mmHg) during 2021 and/or on anti-hypertensive medication recorded in their EHR ≤5 years. Logistic regression was used to assess for associations between hypertension and demographic characteristics. Among 750,098 PLHIV aged ≥18 years with ≥2 visits during 2021, 101,363 (13.5%) had ≥2 recorded blood pressure readings. Among these PLHIV, 14.7% (95% confidence interval [CI]: 14.5-14.9) had hypertension. Only 8.9% of PLHIV with hypertension had an anti-hypertensive medication recorded in their EHR. The odds of hypertension were greater in older age groups compared to PLHIV aged 18-29 years (adjusted odds ratio [aOR] for 30-44 years: 2.6 [95% CI: 2.4-2.9]; aOR for 45-49 years: 6.4 [95% CI: 5.8-7.0]; aOR for ≥60 years: 14.5 [95% CI: 13.1-16.1]), urban areas (aOR: 1.9 [95% CI: 1.8-2.1]), and on ART for ≥6-month at a time (aOR: 1.1 [95% CI: 1.0-1.2]). Hypertension was common among PLHIV in Zambia, with few having documentation of treatment. Most PLHIV were excluded from the analysis because of missing BP measurements. Strengthening integrated management of non-communicable diseases in HIV clinics might help to diagnose and treat hypertension in Zambia. Addressing missing data of routine clinical data (like blood pressure) could improve non-communicable diseases surveillance in Zambia.
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Affiliation(s)
- Jonas Z Hines
- U.S. Centers for Disease Control and Prevention, Lusaka, Zambia
| | | | - Megumi Itoh
- U.S. Centers for Disease Control and Prevention, Lusaka, Zambia
| | - Sombo Fwoloshi
- Ministry of Health, Lusaka, Zambia
- University of Zambia, School of Medicine, Lusaka, Zambia
| | | | | | | | | | | | - Dalila Zachary
- U.S. Centers for Disease Control and Prevention, Lusaka, Zambia
| | | | | | | | - Simon Agolory
- U.S. Centers for Disease Control and Prevention, Lusaka, Zambia
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Collins C, Isbell MT, Karim QA, Sohn AH, Beyrer C, Maleche A. Leveraging the HIV response to strengthen pandemic preparedness. PLOS GLOBAL PUBLIC HEALTH 2023; 3:e0001511. [PMID: 36963061 PMCID: PMC10021388 DOI: 10.1371/journal.pgph.0001511] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
The COVID-19 pandemic and the expectation of future pandemic threats have generated a global dialogue on strengthening pandemic preparedness and response (PPR). Thus far, this dialogue has largely failed to fully consider the critical role that established, disease-specific programs played in national and regional COVID-19 responses, and the potential for these programs to contribute to stronger pandemic preparedness for the future. The HIV response is an important example of a global health initiative that is already making substantial contributions to PPR. Both the infrastructure and core principles of the HIV response have much to contribute towards pandemic preparedness that is more effective and equitable than seen in the response to COVID-19. This review examines how HIV-related resources and principles can support communities and countries in being better prepared for emerging disease threats, with a specific focus on evidence from the COVID-19 pandemic. Drawing on the current literature, the review explores the clear, multi-faceted intersection between the HIV response and the central elements of pandemic preparedness in areas including surveillance; supply chain; primary care; health care workforce; community engagement; biomedical research; universal access without discrimination; political leadership; governance; and financing. There are many opportunities to be more strategic and purposeful in leveraging HIV programs and approaches for preparedness. Avoiding the longstanding temptation in global health to create new siloes, PPR initiatives, including the new Pandemic Fund at the World Bank, should invest in and build out from existing programs that are already making health systems more inclusive and resilient, including the global response to HIV.
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Affiliation(s)
- Chris Collins
- Friends of the Global Fight Against AIDS, Tuberculosis and Malaria, Washington, D.C., United States of America
| | | | - Quarraisha Abdool Karim
- Centre for the AIDS Programme of Research in South Africa, Durbin, South Africa
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States of America
| | | | - Chris Beyrer
- Duke Global Health Institute, Durham, NC, United States of America
| | - Allan Maleche
- Kenya Legal and Ethical Issues Network on HIV and AIDS, Nairobi, Kenya
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Hickey MD, Owaraganise A, Sang N, Opel FJ, Mugoma EW, Ayieko J, Kabami J, Chamie G, Kakande E, Petersen ML, Balzer LB, Kamya MR, Havlir DV. Effect of a one-time financial incentive on linkage to chronic hypertension care in Kenya and Uganda: A randomized controlled trial. PLoS One 2022; 17:e0277312. [PMID: 36342940 PMCID: PMC9639834 DOI: 10.1371/journal.pone.0277312] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 10/24/2022] [Indexed: 11/09/2022] Open
Abstract
Background Fewer than 10% of people with hypertension in sub-Saharan Africa are diagnosed, linked to care, and achieve hypertension control. We hypothesized that a one-time financial incentive and phone call reminder for missed appointments would increase linkage to hypertension care following community-based screening in rural Uganda and Kenya. Methods In a randomized controlled trial, we conducted community-based hypertension screening and enrolled adults ≥25 years with blood pressure ≥140/90 mmHg on three measures; we excluded participants with known hypertension or hypertensive emergency. The intervention was transportation reimbursement upon linkage (~$5 USD) and up to three reminder phone calls for those not linking within seven days. Control participants received a clinic referral only. Outcomes were linkage to hypertension care within 30 days (primary) and hypertension control <140/90 mmHg measured in all participants at 90 days (secondary). We used targeted minimum loss-based estimation to compute adjusted risk ratios (aRR). Results We screened 1,998 participants, identifying 370 (18.5%) with uncontrolled hypertension and enrolling 199 (100 control, 99 intervention). Reasons for non-enrollment included prior hypertension diagnosis (n = 108) and hypertensive emergency (n = 32). Participants were 60% female, median age 56 (range 27–99); 10% were HIV-positive and 42% had baseline blood pressure ≥160/100 mmHg. Linkage to care within 30 days was 96% in intervention and 66% in control (aRR 1.45, 95%CI 1.25–1.68). Hypertension control at 90 days was 51% intervention and 41% control (aRR 1.22, 95%CI 0.92–1.66). Conclusion A one-time financial incentive and reminder call for missed visits resulted in a 30% absolute increase in linkage to hypertension care following community-based screening. Financial incentives can improve the critical step of linkage to care for people newly diagnosed with hypertension in the community.
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Affiliation(s)
- Matthew D. Hickey
- Division of HIV, Infectious Disease, & Global Medicine, University of California, San Francisco, CA, United States of America
- * E-mail:
| | | | - Norton Sang
- Kenya Medical Research Institute, Nairobi, Kenya
| | | | | | - James Ayieko
- Kenya Medical Research Institute, Nairobi, Kenya
| | - Jane Kabami
- Infectious Diseases Research Collaboration, Kampala, Uganda
| | - Gabriel Chamie
- Division of HIV, Infectious Disease, & Global Medicine, University of California, San Francisco, CA, United States of America
| | - Elijah Kakande
- Infectious Diseases Research Collaboration, Kampala, Uganda
| | - Maya L. Petersen
- School of Public Health, University of California, Berkeley, CA, United States of America
| | - Laura B. Balzer
- School of Public Health, University of California, Berkeley, CA, United States of America
| | - Moses R. Kamya
- Infectious Diseases Research Collaboration, Kampala, Uganda
- School of Medicine, Makerere University, Kampala, Uganda
| | - Diane V. Havlir
- Division of HIV, Infectious Disease, & Global Medicine, University of California, San Francisco, CA, United States of America
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