1
|
Sheppard RJ, Watson OJ, Pieciak R, Lungu J, Kwenda G, Moyo C, Chanda SL, Barnsley G, Brazeau NF, Gerard-Ursin ICG, Olivera Mesa D, Whittaker C, Gregson S, Okell LC, Ghani AC, MacLeod WB, Del Fava E, Melegaro A, Hines JZ, Mulenga LB, Walker PGT, Mwananyanda L, Gill CJ. Author Correction: Using mortuary and burial data to place COVID-19 in Lusaka, Zambia within a global context. Nat Commun 2024; 15:2213. [PMID: 38472189 DOI: 10.1038/s41467-024-44940-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/14/2024] Open
Affiliation(s)
- Richard J Sheppard
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK
| | - Oliver J Watson
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Rachel Pieciak
- Department of Global Health, Boston University School of Public Health, Boston, MA, USA
| | | | - Geoffrey Kwenda
- Department of Biomedical Sciences, School of Health Sciences, University of Zambia, Lusaka, Zambia
| | | | | | - Gregory Barnsley
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK
| | - Nicholas F Brazeau
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK
| | - Ines C G Gerard-Ursin
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK
| | - Daniela Olivera Mesa
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK
| | - Charles Whittaker
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK
| | - Simon Gregson
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK
- Manicaland Centre for Public Health Research, Biomedical Research and Training Institute, Harare, Zimbabwe
| | - Lucy C Okell
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK
| | - Azra C Ghani
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK
| | - William B MacLeod
- Department of Global Health, Boston University School of Public Health, Boston, MA, USA
| | - Emanuele Del Fava
- Carlo F. Dondena Centre for Research on Social Dynamics and Public Policy, Bocconi University, Milan, Italy
- Max Planck Institute for Demographic Research, Rostock, Germany
| | - Alessia Melegaro
- Carlo F. Dondena Centre for Research on Social Dynamics and Public Policy, Bocconi University, Milan, Italy
- Department of Social and Political Science, Bocconi University, Milano, Italy
| | - Jonas Z Hines
- Centers for Disease Control and Prevention, Lusaka, Zambia
| | | | - Patrick G T Walker
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK.
| | - Lawrence Mwananyanda
- Department of Global Health, Boston University School of Public Health, Boston, MA, USA
- Avencion Limited, Lusaka, Zambia
| | - Christopher J Gill
- Department of Global Health, Boston University School of Public Health, Boston, MA, USA
| |
Collapse
|
2
|
Sheppard RJ, Watson OJ, Pieciak R, Lungu J, Kwenda G, Moyo C, Chanda SL, Barnsley G, Brazeau NF, Gerard-Ursin ICG, Olivera Mesa D, Whittaker C, Gregson S, Okell LC, Ghani AC, MacLeod WB, Del Fava E, Melegaro A, Hines JZ, Mulenga LB, Walker PGT, Mwananyanda L, Gill CJ. Using mortuary and burial data to place COVID-19 in Lusaka, Zambia within a global context. Nat Commun 2023; 14:3840. [PMID: 37380650 PMCID: PMC10307769 DOI: 10.1038/s41467-023-39288-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 06/06/2023] [Indexed: 06/30/2023] Open
Abstract
Reported COVID-19 cases and associated mortality remain low in many sub-Saharan countries relative to global averages, but true impact is difficult to estimate given limitations around surveillance and mortality registration. In Lusaka, Zambia, burial registration and SARS-CoV-2 prevalence data during 2020 allow estimation of excess mortality and transmission. Relative to pre-pandemic patterns, we estimate age-dependent mortality increases, totalling 3212 excess deaths (95% CrI: 2104-4591), representing an 18.5% (95% CrI: 13.0-25.2%) increase relative to pre-pandemic levels. Using a dynamical model-based inferential framework, we find that these mortality patterns and SARS-CoV-2 prevalence data are in agreement with established COVID-19 severity estimates. Our results support hypotheses that COVID-19 impact in Lusaka during 2020 was consistent with COVID-19 epidemics elsewhere, without requiring exceptional explanations for low reported figures. For more equitable decision-making during future pandemics, barriers to ascertaining attributable mortality in low-income settings must be addressed and factored into discourse around reported impact differences.
Collapse
Affiliation(s)
- Richard J Sheppard
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK
| | - Oliver J Watson
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Rachel Pieciak
- Department of Global Health, Boston University School of Public Health, Boston, MA, USA
| | | | - Geoffrey Kwenda
- Department of Biomedical Sciences, School of Health Sciences, University of Zambia, Lusaka, Zambia
| | | | | | - Gregory Barnsley
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK
| | - Nicholas F Brazeau
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK
| | - Ines C G Gerard-Ursin
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK
| | - Daniela Olivera Mesa
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK
| | - Charles Whittaker
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK
| | - Simon Gregson
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK
- Manicaland Centre for Public Health Research, Biomedical Research and Training Institute, Harare, Zimbabwe
| | - Lucy C Okell
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK
| | - Azra C Ghani
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK
| | - William B MacLeod
- Department of Global Health, Boston University School of Public Health, Boston, MA, USA
| | - Emanuele Del Fava
- Carlo F. Dondena Centre for Research on Social Dynamics and Public Policy, Bocconi University, Milan, Italy
- Max Planck Institute for Demographic Research, Rostock, Germany
| | - Alessia Melegaro
- Carlo F. Dondena Centre for Research on Social Dynamics and Public Policy, Bocconi University, Milan, Italy
- Department of Social and Political Science, Bocconi University, Milano, Italy
| | - Jonas Z Hines
- Centers for Disease Control and Prevention, Lusaka, Zambia
| | | | - Patrick G T Walker
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK.
| | - Lawrence Mwananyanda
- Department of Global Health, Boston University School of Public Health, Boston, MA, USA
- Avencion Limited, Lusaka, Zambia
| | - Christopher J Gill
- Department of Global Health, Boston University School of Public Health, Boston, MA, USA
| |
Collapse
|
3
|
Hendrickson C, Long LC, van Rensburg C, Claassen CW, Njelesani M, Moyo C, Mulenga L, O'Bra H, Russell CA, Nichols BE. The early-stage comprehensive costs of routine PrEP implementation and scale-up in Zambia. PLOS Glob Public Health 2022; 2:e0001246. [PMID: 36962684 PMCID: PMC10021804 DOI: 10.1371/journal.pgph.0001246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 10/10/2022] [Indexed: 11/07/2022]
Abstract
Pre-exposure prophylaxis (PrEP) is an effective HIV prevention option, but cost-effectiveness is sensitive to implementation and program costs. Studies indicate that, in addition to direct delivery cost, PrEP provision requires substantial demand creation and client support to encourage PrEP initiation and persistence. We estimated the cost of providing PrEP in Zambia through different PrEP delivery models. Taking a guidelines-based approach for visits, labs and drugs, we estimated the annual cost of providing PrEP per client for five delivery models: one focused on key populations (men-who-have-sex-with-men (MSM) and female sex workers (FSW), one on adolescent girls and young women (AGYW), and three integrated programs (operated within HIV counselling and testing services at primary healthcare centres). Program start-up and support costs were based on program expenditure data and number of PrEP sites and clients in 2018. PrEP clinic visit costs were based on micro-costing at two PrEP delivery sites (2018 USD). Costs are presented in 2018 prices and inflated to 2021 prices. The annual cost/PrEP client varied by service delivery model, from $394 (AGYW) to $655 (integrated model). Cost differences were driven largely by client volume, which impacted the relative costs of program support and technical assistance assigned to each PrEP client. Direct service delivery costs ranged narrowly from $205-212/PrEP-client and were a key component in the cost of PrEP, representing 35-65% of total costs. The results show that, even when integrated into full service delivery models, accessing vulnerable, marginalised populations at substantial risk of HIV infection is likely to cost more than previously estimated due to the programmatic costs involved in community sensitization and client support. Improved data on individual client resource usage and outcomes is required to get a better understanding of the true resource utilization, expected outcomes and annual costs of different PrEP service delivery programs in Zambia.
Collapse
Affiliation(s)
- Cheryl Hendrickson
- Health Economics and Epidemiology Research Office, Johannesburg, South Africa
- Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Department of Medical Microbiology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Lawrence C Long
- Health Economics and Epidemiology Research Office, Johannesburg, South Africa
- Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Department of Global Health, School of Public Health, Boston University, Boston, Massachusetts, United States of America
| | - Craig van Rensburg
- Health Economics and Epidemiology Research Office, Johannesburg, South Africa
- Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Cassidy W Claassen
- Center for International Health, Education, and Biosecurity (CIHEB), Institute of Human Virology, University of Maryland School of Medicine, Lusaka, Zambia
| | | | | | | | - Heidi O'Bra
- United States Agency for International Development, Lusaka, Zambia
| | - Colin A Russell
- Department of Medical Microbiology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Brooke E Nichols
- Health Economics and Epidemiology Research Office, Johannesburg, South Africa
- Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Department of Medical Microbiology, Amsterdam University Medical Center, Amsterdam, The Netherlands
- Department of Global Health, School of Public Health, Boston University, Boston, Massachusetts, United States of America
| |
Collapse
|
4
|
Yokobori Y, Matsuura J, Obara H, Sugiura Y, Kitamura T, Moyo C, Mwango C, Yuasa M. Rapid assessment of the civil registration and vital statistics performance of health facilities in the five districts of Zambia: A cross-sectional study. Heliyon 2021; 7:e08367. [PMID: 34825083 PMCID: PMC8605283 DOI: 10.1016/j.heliyon.2021.e08367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Revised: 08/26/2021] [Accepted: 11/08/2021] [Indexed: 11/17/2022] Open
Abstract
Background Civil registration and vital statistics (CRVS) are essential administrative tools for accurate statistical data on vital events. However, civil registration coverage is particularly poor in low- and middle-income countries. Currently, CRVS are attracting global attention, as their improvement is considered a priority. While health facility is one of the important actors involved in the management of quality CRVS, its function in CRVS remains unclear. Therefore, this work aims to investigate the CRVS performance of the health facility in Zambia, a low-income country, and identify the gaps for effective policy-making. Methods To assess the health facilities' CRVS performance, a questionnaire was developed based on existing assessment tools for the whole CRVS; this comprised 21 multiple-choice questions in 10 areas with four choices awarded between 0 and 3 points according to performance. These questionnaire-based interviews were conducted by information officers in all health facilities per first, secondary, and tertiary-level in five target districts of Zambia, selected via socioeconomic and geographic features. The average points were calculated in each area by each level of healthcare system and summarized in a single chart. Results The results indicated low scores in the following areas: staff compliance with standard reporting procedures, infrastructure, capacity of coding based on International Classification of Diseases among health personnel, documentation of the cause of death in medical records, and absence of a system to identify the cause of death of brought-in-dead cases. Conclusion The tool developed in this work to evaluate the CRVS performance of health facilities was useful for identifying the gaps that need to be overcome to ensure the quality of CRVS in Zambia. However, its validity should be further investigated in other areas in Zambia as well as in other countries.
Collapse
Affiliation(s)
- Yuta Yokobori
- National Center for Global Health and Medicine, 1-21-1 Toyama, Shinjuku-ku, Tokyo, Japan
- Department of Public Health, Graduate School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, Japan
- Corresponding author.
| | - Jun Matsuura
- National Center for Global Health and Medicine, 1-21-1 Toyama, Shinjuku-ku, Tokyo, Japan
| | - Hiromi Obara
- National Center for Global Health and Medicine, 1-21-1 Toyama, Shinjuku-ku, Tokyo, Japan
| | - Yasuo Sugiura
- National Center for Global Health and Medicine, 1-21-1 Toyama, Shinjuku-ku, Tokyo, Japan
| | - Tomomi Kitamura
- National Center for Global Health and Medicine, 1-21-1 Toyama, Shinjuku-ku, Tokyo, Japan
| | | | - Chomba Mwango
- Department of National Registration, Passport & Citizenship, Ministry of Home Affairs, Cnr Dedani Kimathi & Independence Roads, Lusaka, Zambia
| | - Motoyuki Yuasa
- Department of Public Health, Graduate School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, Japan
| |
Collapse
|
5
|
Hoffman RM, Moyo C, Balakasi KT, Siwale Z, Hubbard J, Bardon A, Fox MP, Kakwesa G, Kalua T, Nyasa-Haambokoma M, Dovel K, Campbell PM, Tseng CH, Pisa PT, Cele R, Gupta S, Benade M, Long L, Xulu T, Sanne I, Rosen S. Multimonth dispensing of up to 6 months of antiretroviral therapy in Malawi and Zambia (INTERVAL): a cluster-randomised, non-blinded, non-inferiority trial. Lancet Glob Health 2021; 9:e628-e638. [PMID: 33865471 DOI: 10.1016/s2214-109x(21)00039-5] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Revised: 01/19/2021] [Accepted: 01/20/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND Facility-based, multimonth dispensing of antiretroviral therapy (ART) for HIV could reduce burdens on patients and providers and improve retention in care. We assessed whether 6-monthly ART dispensing was non-inferior to standard of care and 3-monthly ART dispensing. METHODS We did a pragmatic, cluster-randomised, unblinded, non-inferiority trial (INTERVAL) at 30 health facilities in Malawi and Zambia. Eligible participants were aged 18 years or older, HIV-positive, and were clinically stable on ART. Before randomisation, health facilities (clusters) were matched on the basis of country, ART cohort size, facility type (ie, hospital vs health centre), and region or province. Matched clusters were randomly allocated (1:1:1) to standard of care, 3-monthly ART dispensing, or 6-monthly ART dispensing using a simple random allocation sequence. The primary outcome was retention in care at 12 months, defined as the proportion of patients with less than 60 consecutive days without ART during study follow-up, analysed by intention to treat. A 2·5% margin was used to assess non-inferiority. This study is registered with ClinicalTrials.gov, NCT03101592. FINDINGS Between May 15, 2017, and April 30, 2018, 9118 participants were randomly assigned, of whom 8719 participants (n=3012, standard of care group; n=2726, 3-monthly ART dispensing group; n=2981, 6-monthly ART dispensing group) had primary outcome data available at 12 months and were included in the primary analysis. The median age of participants was 42·7 years (IQR 36·1-49·9) and 5774 (66·2%) of 8719 were women. The primary outcome was met by 2478 (82·3%) of 3012 participants in the standard of care group, 2356 (86·4%) of 2726 participants in the 3-monthly ART dispensing group, and 2729 (91·5%) of 2981 participants in the 6-monthly ART dispensing group. After adjusting for clustering, for retention in care at 12 months, the 6-monthly ART dispensing group was non-inferior to the standard of care group (percentage-point increase 9·1 [95% CI 0·9-17·2]) and to the 3-monthly ART dispensing group (5·0% [1·0-9·1]). INTERPRETATION Clinical visits with ART dispensing every 6 months was non-inferior to standard of care and 3-monthly ART dispensing. 6-monthly ART dispensing is a promising strategy for the expansion of ART provision and achievement of HIV treatment targets in resource-constrained settings. FUNDING US Agency for International Development.
Collapse
Affiliation(s)
- Risa M Hoffman
- Department of Medicine, David Geffen School of Medicine at the University of California Los Angeles, Los Angeles, CA, USA.
| | | | | | | | - Julie Hubbard
- Department of Medicine, David Geffen School of Medicine at the University of California Los Angeles, Los Angeles, CA, USA
| | - Ashley Bardon
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Matthew P Fox
- Department of Epidemiology, School of Public Health, Boston University, Boston, MA, USA; Department of Global Health, School of Public Health, Boston University, Boston, MA, USA; Department of Paediatrics, University of the Witwatersrand, Johannesburg, South Africa
| | | | - Thokozani Kalua
- Department of HIV and AIDS, Malawi Ministry of Health, Lilongwe, Malawi
| | | | - Kathryn Dovel
- Department of Medicine, David Geffen School of Medicine at the University of California Los Angeles, Los Angeles, CA, USA
| | - Paula M Campbell
- Department of Medicine, David Geffen School of Medicine at the University of California Los Angeles, Los Angeles, CA, USA
| | - Chi-Hong Tseng
- Department of Medicine, David Geffen School of Medicine at the University of California Los Angeles, Los Angeles, CA, USA
| | - Pedro T Pisa
- Department of Paediatrics, University of the Witwatersrand, Johannesburg, South Africa; Right to Care South Africa, Centurion, South Africa
| | - Refiloe Cele
- Department of Paediatrics, University of the Witwatersrand, Johannesburg, South Africa
| | - Sundeep Gupta
- Department of Medicine, David Geffen School of Medicine at the University of California Los Angeles, Los Angeles, CA, USA
| | - Mariet Benade
- Department of Global Health, School of Public Health, Boston University, Boston, MA, USA
| | - Lawrence Long
- Department of Global Health, School of Public Health, Boston University, Boston, MA, USA; Department of Paediatrics, University of the Witwatersrand, Johannesburg, South Africa
| | - Thembi Xulu
- Right to Care South Africa, Centurion, South Africa
| | - Ian Sanne
- Right to Care South Africa, Centurion, South Africa
| | - Sydney Rosen
- Department of Global Health, School of Public Health, Boston University, Boston, MA, USA; Department of Paediatrics, University of the Witwatersrand, Johannesburg, South Africa
| |
Collapse
|
6
|
Nichols BE, Cele R, Jamieson L, Long LC, Siwale Z, Banda P, Moyo C, Rosen S. Community-based delivery of HIV treatment in Zambia: costs and outcomes. AIDS 2021; 35:299-306. [PMID: 33170578 PMCID: PMC7810408 DOI: 10.1097/qad.0000000000002737] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 08/21/2020] [Accepted: 09/02/2020] [Indexed: 01/29/2023]
Abstract
OBJECTIVE The aim is to determine the total annual cost per patient treated and total cost per patient retained on antiretroviral therapy in Zambia in conventional care in facilities and across community-based differentiated service delivery (DSD) models. DESIGN Economic evaluation was conducted using retrospective electronic record review.Twenty healthcare facilities (13 with DSD models and 7 as comparison sites) in six of Zambia's 10 provinces were considered. METHODS All individuals on antiretroviral therapy (ART) >18 years old at the study sites were enrolled in a DSD model or conventional care by site type, respectively, with at least 12 months of follow-up data. Accessing care through DSD models [community adherence groups (CAGs), urban adherence groups (UAGs), home ART delivery and care, and mobile ART services] or facility-based conventional care with 3-monthly visits. Total annual cost per patient treated and the annual cost per patient retained in care 12 months after model enrolment. Retention in care was defined as attending a clinic visit at 12 months ± 3 months. RESULTS The DSD models assessed cost more per patient/year than conventional care. Costs ranged from an annual $116 to $199 for the DSD models, compared with $100 for conventional care. CAGs and UAGs increased retention by 2 and 14%, respectively. All DSD models cost more per patient retained at 12 months than conventional care. The CAG had the lowest cost/patient retained for DSD models ($140-157). CONCLUSIONS Although they achieve equal or improved retention in care, out-of-facility models of ART were more expensive than conventional care.
Collapse
Affiliation(s)
- Brooke E. Nichols
- Department of Global Health, School of Public Health, Boston University, Boston, Massachusetts, USA
- 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
| | - Refiloe Cele
- 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
| | - Lise Jamieson
- 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
| | - Lawrence C. Long
- Department of Global Health, School of Public Health, Boston University, Boston, Massachusetts, USA
- 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
| | | | | | | | - Sydney Rosen
- Department of Global Health, School of Public Health, Boston University, Boston, Massachusetts, USA
- 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
| |
Collapse
|
7
|
Phiri K, McBride K, Siwale Z, Hubbard J, Bardon A, Moucheraud C, Haambokoma M, Pisa PT, Moyo C, Hoffman RM. Provider experiences with three- and six-month antiretroviral therapy dispensing for stable clients in Zambia. AIDS Care 2020; 33:541-547. [PMID: 32363910 DOI: 10.1080/09540121.2020.1755010] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Multi-month dispensing of antiretroviral therapy (ART) has been taken to scale in many settings in sub-Saharan Africa with the benefits of improved client satisfaction and decreased client costs. Six-month ART dispensing may further increase these benefits; however, data are lacking. Within a cluster-randomized trial of three- versus six-month dispensing in Malawi and Zambia, we performed a sub-study to explore Zambian provider experiences with multi-month dispensing. We conducted 18 in-depth interviews with clinical officers and nurses dispensing ART as part of INTERVAL in Zambia. Interview questions focused on provider perceptions of client acceptability, views on client sharing and selling of ART, and perceptions on provider workload and clinic efficiency, with a focus on differences between three- and six-month dispensing. Interviews were analyzed using inductive thematic analysis to identify key themes and patterns within the data. Providers perceived significant benefits of multi-month dispensing, with advantages of six-month over three-month dispensing related to a reduced burden on clients, and for reductions in their own workload and clinic congestion. Among nearly all providers, the six-month dispensing strategy was perceived as ideal. Further research is needed to quantify clinical outcomes of six-month dispensing and feasibility of scaling-up this intervention in resource-limited settings.Clinical Trial Number: NCT03101592.
Collapse
Affiliation(s)
- Khumbo Phiri
- Partners in Hope Medical Center, Lilongwe, Malawi
| | - Kaitlyn McBride
- Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USA
| | | | - Julie Hubbard
- Partners in Hope Medical Center, Lilongwe, Malawi.,Division of Infectious Diseases, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Ashley Bardon
- School of Public Health, University of Washington, Seattle, WA, USA
| | - Corrina Moucheraud
- Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USA
| | | | | | | | - Risa M Hoffman
- Partners in Hope Medical Center, Lilongwe, Malawi.,Division of Infectious Diseases, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| |
Collapse
|
8
|
Hendrickson C, Long L, van de Vijver D, Boucher C, O'Bra H, Claassen CW, Njelesani M, Moyo C, Mumba DB, Subedar H, Mulenga L, Rosen S, Nichols BE. Novel metric for evaluating pre-exposure prophylaxis programme effectiveness in real-world settings. Lancet HIV 2020; 7:e294-e300. [PMID: 32014116 DOI: 10.1016/s2352-3018(19)30344-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 08/28/2019] [Accepted: 08/29/2019] [Indexed: 10/25/2022]
Abstract
Although large-scale provision of HIV pre-exposure prophylaxis (PrEP) is gaining momentum, no systematic method to evaluate or compare the effectiveness of different scale-up strategies in real-world settings exists. To date, estimating the effectiveness of PrEP has relied on clinical trials or mathematical models. We propose a novel and pragmatic metric to evaluate and compare programme effectiveness using routine implementation data. Using South African and Zambian PrEP guidelines, we provide two examples of how to consistently measure PrEP-programme effectiveness with routinely collected data. PrEP effectiveness should account for HIV seroconversion, the variable risk of HIV infection (seasons of risk) estimated with routine risk assessment at each clinic visit (when available), and the persistence of PrEP use. Three criteria should be met in order to be considered a successful outcome: first, a person who initiates PrEP must not seroconvert; second, there should be no more than one period at high risk of HIV infection during the follow-up period when not taking PrEP; and finally, an individual must continue to attend health-care visits or discontinue prophylaxis in consultation with a health-care provider within a specified follow-up period. The number of PrEP successes could then be compared with the total number of people initiating PrEP to establish a success ratio. This outcome is a useful and easily interpretable metric to monitor effectiveness of PrEP programmes with routinely collected clinical data and can be used in cost-effectiveness analyses. These measurements allow for comparisons of scale-up strategies for PrEP programmes and, if widely adopted, will allow comparative studies of different approaches for PrEP service delivery.
Collapse
Affiliation(s)
- Cheryl Hendrickson
- 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
| | - 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, School of Public Health, Boston University, Boston, MA, USA
| | - David van de Vijver
- Department of Viroscience, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Charles Boucher
- Department of Viroscience, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Heidi O'Bra
- United States Agency for International Development (USAID), Lusaka, Zambia
| | - Cassidy W Claassen
- Center for International Health, Education, and Biosecurity, Institute of Human Virology, University of Maryland School of Medicine, Lusaka, Zambia
| | | | | | | | - Hasina Subedar
- South African National Department of Health, Pretoria, South Africa
| | | | - 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, School of Public Health, Boston University, Boston, MA, USA
| | - Brooke E Nichols
- 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, School of Public Health, Boston University, Boston, MA, USA.
| |
Collapse
|
9
|
Nichols BE, Girdwood SJ, Crompton T, Stewart‐Isherwood L, Berrie L, Chimhamhiwa D, Moyo C, Kuehnle J, Stevens W, Rosen S. Monitoring viral load for the last mile: what will it cost? J Int AIDS Soc 2019; 22:e25337. [PMID: 31515967 PMCID: PMC6742838 DOI: 10.1002/jia2.25337] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2018] [Accepted: 06/05/2019] [Indexed: 12/15/2022] Open
Abstract
INTRODUCTION Routine viral load testing is the WHO-recommended method for monitoring HIV-infected patients on ART, and many countries are rapidly scaling up testing capacity at centralized laboratories. Providing testing access to the most remote populations and facilities (the "last mile") is especially challenging. Using a geospatial optimization model, we estimated the incremental costs of accessing the most remote 20% of patients in Zambia by expanding the transportation network required to bring blood samples from ART clinics to centralized laboratories and return results to clinics. METHODS The model first optimized a sample transportation network (STN) that can transport 80% of anticipated sample volumes to centralized viral load testing laboratories on a daily or weekly basis, in line with Zambia's 2020 targets. Data incorporated into the model included the location and infrastructure of all health facilities providing ART, location of laboratories, measured distances and drive times between the two, expected future viral load demand by health facility, and local cost estimates. We then continued to expand the modelled STN in 5% increments until 100% of all samples could be collected. RESULTS AND DISCUSSION The cost per viral load test when reaching 80% patient volumes using centralized viral load testing was a median of $18.99. With an expanded STN, the incremental cost per test rose to $20.29 for 80% to 85% and $20.52 for 85% to 90%. Above 90% coverage, the incremental cost per test increased substantially to $31.57 for 90% to 95% and $51.95 for 95% to 100%. The high numbers of kilometres driven per sample transported and large number of vehicles needed increase costs dramatically for reaching the clinics that serve the last 5% of patients. CONCLUSIONS Providing sample transport services to the most remote clinics in low- and middle-income countries is likely to be cost-prohibitive. Other strategies are needed to reduce the cost and increase the feasibility of making viral load monitoring available to the last 10% of patients. The cost of alternative methods, such as optimal point-of-care viral load equipment placement and usage, dried blood/plasma spot specimen utilization, or use of drones in geographically remote facilities, should be evaluated.
Collapse
Affiliation(s)
- Brooke E Nichols
- Department of Global HealthSchool of Public HealthBoston UniversityBostonMAUSA
- Health Economics and Epidemiology Research OfficeDepartment of Internal MedicineSchool of Clinical MedicineFaculty of Health SciencesUniversity of the WitwatersrandJohannesburgSouth Africa
| | - Sarah J Girdwood
- Health Economics and Epidemiology Research OfficeDepartment of Internal MedicineSchool of Clinical MedicineFaculty of Health SciencesUniversity of the WitwatersrandJohannesburgSouth Africa
| | | | - Lynsey Stewart‐Isherwood
- National Health Laboratory ServiceJohannesburgSouth Africa
- Department of Molecular Medicine and HaematologyFaculty of Health SciencesUniversity of the WitwatersrandJohannesburgSouth Africa
| | - Leigh Berrie
- National Health Laboratory ServiceJohannesburgSouth Africa
- Department of Molecular Medicine and HaematologyFaculty of Health SciencesUniversity of the WitwatersrandJohannesburgSouth Africa
| | | | | | - John Kuehnle
- United States Agency for International DevelopmentLusakaZambia
| | - Wendy Stevens
- National Health Laboratory ServiceJohannesburgSouth Africa
- Department of Molecular Medicine and HaematologyFaculty of Health SciencesUniversity of the WitwatersrandJohannesburgSouth Africa
| | - Sydney Rosen
- Department of Global HealthSchool of Public HealthBoston UniversityBostonMAUSA
- Health Economics and Epidemiology Research OfficeDepartment of Internal MedicineSchool of Clinical MedicineFaculty of Health SciencesUniversity of the WitwatersrandJohannesburgSouth Africa
| | | |
Collapse
|
10
|
Girdwood SJ, Nichols BE, Moyo C, Crompton T, Chimhamhiwa D, Rosen S. Optimizing viral load testing access for the last mile: Geospatial cost model for point of care instrument placement. PLoS One 2019; 14:e0221586. [PMID: 31449559 PMCID: PMC6709899 DOI: 10.1371/journal.pone.0221586] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Accepted: 08/10/2019] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Viral load (VL) monitoring programs have been scaled up rapidly, but are now facing the challenge of providing access to the most remote facilities (the "last mile"). For the hardest-to-reach facilities in Zambia, we compared the cost of placing point of care (POC) viral load instruments at or near facilities to the cost of an expanded sample transportation network (STN) to deliver samples to centralized laboratories. METHODS We extended a previously described geospatial model for Zambia that first optimized a STN for centralized laboratories for 90% of estimated viral load volumes. Amongst the remaining 10% of volumes, facilities were identified as candidates for POC placement, and then instrument placement was optimized such that access and instrument utilization is maximized. We evaluated the full cost per test under three scenarios: 1) POC placement at all facilities identified for POC; 2)an optimized combination of both on-site POC placement and placement at facilities acting as POC hubs; and 3) integration into the centralized STN to allow use of centralized laboratories. RESULTS For the hardest-to-reach facilities, optimal POC placement covered a quarter of HIV-treating facilities. Scenario 2 resulted in a cost per test of $39.58, 6% less than the cost per test of scenario 1, $41.81. This is due to increased POC instrument utilization in scenario 2 where facilities can act as POC hubs. Scenario 3 was the most costly at $53.40 per test, due to high transport costs under the centralized model ($36 per test compared to $12 per test in scenario 2). CONCLUSIONS POC VL testing may reduce the costs of expanding access to the hardest-to-reach populations, despite the cost of equipment and low patient volumes. An optimal combination of both on-site placement and the use of POC hubs can reduce the cost per test by 6-35% by reducing transport costs and increasing instrument utilization.
Collapse
Affiliation(s)
- Sarah J. Girdwood
- 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
| | - Brooke E. Nichols
- 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, School of Public Health, Boston University, Boston, MA, United States of America
| | | | - Thomas Crompton
- Right to Care, GIS Mapping Department, Johannesburg, South Africa
| | | | - 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, School of Public Health, Boston University, Boston, MA, United States of America
| |
Collapse
|
11
|
Nichols BE, Girdwood SJ, Crompton T, Stewart‐Isherwood L, Berrie L, Chimhamhiwa D, Moyo C, Kuehnle J, Stevens W, Rosen S. Impact of a borderless sample transport network for scaling up viral load monitoring: results of a geospatial optimization model for Zambia. J Int AIDS Soc 2018; 21:e25206. [PMID: 30515997 PMCID: PMC6280013 DOI: 10.1002/jia2.25206] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Accepted: 10/18/2018] [Indexed: 11/16/2022] Open
Abstract
INTRODUCTION The World Health Organization recommends viral load (VL) monitoring at six and twelve months and then annually after initiating antiretroviral treatment for HIV. In many African countries, expansion of VL testing has been slow due to a lack of efficient blood sample transportation networks (STN). To assist Zambia in scaling up testing capacity, we modelled an optimal STN to minimize the cost of a national VL STN. METHODS The model optimizes a STN in Zambia for the anticipated 1.5 million VL tests that will be needed in 2020, taking into account geography, district political boundaries, and road, laboratory and facility infrastructure. We evaluated all-inclusive STN costs of two alternative scenarios: (1) optimized status quo: each district provides its own weekly or daily sample transport; and (2) optimized borderless STN: ignores district boundaries, provides weekly or daily sample transport, and reaches all Scenario 1 facilities. RESULTS Under both scenarios, VL testing coverage would increase to from 10% in 2016 to 91% in 2020. The mean transport cost per VL in Scenario 2 was $2.11 per test (SD $0.28), 52% less than the mean cost/test in Scenario 1, $4.37 (SD $0.69), comprising 10% and 19% of the cost of a VL respectively. CONCLUSIONS An efficient STN that optimizes sample transport on the basis of geography and test volume, rather than political boundaries, can cut the cost of sample transport by more than half, providing a cost savings opportunity for countries that face significant resource constraints.
Collapse
Affiliation(s)
- Brooke E Nichols
- Department of Global HealthSchool of Public HealthBoston UniversityBostonMAUSA
- Health Economics and Epidemiology Research OfficeDepartment of Internal MedicineSchool of Clinical MedicineFaculty of Health SciencesUniversity of the WitwatersrandJohannesburgSouth Africa
| | - Sarah J Girdwood
- Health Economics and Epidemiology Research OfficeDepartment of Internal MedicineSchool of Clinical MedicineFaculty of Health SciencesUniversity of the WitwatersrandJohannesburgSouth Africa
| | | | - Lynsey Stewart‐Isherwood
- National Health Laboratory ServiceWits Medical SchoolJohannesburgSouth Africa
- Department of Molecular Medicine and HaematologyFaculty of Health SciencesUniversity of the WitwatersrandJohannesburgSouth Africa
| | - Leigh Berrie
- National Health Laboratory ServiceWits Medical SchoolJohannesburgSouth Africa
- Department of Molecular Medicine and HaematologyFaculty of Health SciencesUniversity of the WitwatersrandJohannesburgSouth Africa
| | | | | | - John Kuehnle
- United States Agency for International DevelopmentLusakaZambia
| | - Wendy Stevens
- National Health Laboratory ServiceWits Medical SchoolJohannesburgSouth Africa
- Department of Molecular Medicine and HaematologyFaculty of Health SciencesUniversity of the WitwatersrandJohannesburgSouth Africa
| | - Sydney Rosen
- Department of Global HealthSchool of Public HealthBoston UniversityBostonMAUSA
- Health Economics and Epidemiology Research OfficeDepartment of Internal MedicineSchool of Clinical MedicineFaculty of Health SciencesUniversity of the WitwatersrandJohannesburgSouth Africa
| | | |
Collapse
|
12
|
Saito S, Duong YT, Metz M, Lee K, Patel H, Sleeman K, Manjengwa J, Ogollah FM, Kasongo W, Mitchell R, Mugurungi O, Chimbwandira F, Moyo C, Maliwa V, Mtengo H, Nkumbula T, Ndongmo CB, Vere NS, Chipungu G, Parekh BS, Justman J, Voetsch AC. Returning HIV-1 viral load results to participant-selected health facilities in national Population-based HIV Impact Assessment (PHIA) household surveys in three sub-Saharan African Countries, 2015 to 2016. J Int AIDS Soc 2018; 20 Suppl 7. [PMID: 29171193 PMCID: PMC5978652 DOI: 10.1002/jia2.25004] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2017] [Accepted: 08/21/2017] [Indexed: 11/21/2022] Open
Abstract
Introduction Logistical complexities of returning laboratory test results to participants have precluded most population‐based HIV surveys conducted in sub‐Saharan Africa from doing so. For HIV positive participants, this presents a missed opportunity for engagement into clinical care and improvement in health outcomes. The Population‐based HIV Impact Assessment (PHIA) surveys, which measure HIV incidence and the prevalence of viral load (VL) suppression in selected African countries, are returning VL results to health facilities specified by each HIV positive participant within eight weeks of collection. We describe the performance of the specimen and data management systems used to return VL results to PHIA participants in Zimbabwe, Malawi and Zambia. Methods Consenting participants underwent home‐based counseling and HIV rapid testing as per national testing guidelines; all confirmed HIV positive participants had VL measured at a central laboratory on either the Roche CAP/CTM or Abbott m2000 platform. On a bi‐weekly basis, a dedicated data management team produced logs linking the VL test result with the participants’ contact information and preferred health facility; project staff sent test results confidentially via project drivers, national courier systems, or electronically through an adapted short message service (SMS). Participants who provided cell phone numbers received SMS or phone call alerts regarding availability of VL results. Results and discussion From 29,634 households across the three countries, 78,090 total participants 0 to 64 years in Zimbabwe and Malawi and 0 to 59 years in Zambia underwent blood draw and HIV testing. Of the 8391 total HIV positive participants identified, 8313 (99%) had VL tests performed and 8245 (99%) of these were returned to the selected health facilities. Of the 5979 VL results returned in Zimbabwe and Zambia, 85% were returned within the eight‐week goal with a median turnaround time of 48 days (IQR: 33 to 61). In Malawi, where exact return dates were unavailable all 2266 returnable results reached the health facilities by 11 weeks. Conclusions The first three PHIA surveys returned the vast majority of VL results to each HIV positive participant's preferred health facility within the eight‐week target. Even in the absence of national VL monitoring systems, a system to return VL results from a population‐based survey is feasible, but it requires developing laboratory and data management systems and dedicated staff. These are likely important requirements to strengthen return of results systems in routine clinical care.
Collapse
Affiliation(s)
- Suzue Saito
- ICAP at Columbia University, New York, NY, USA.,Department of Epidemiology, Mailman School of Public Health at Columbia University, New York, NY, USA
| | - Yen T Duong
- ICAP at Columbia University, New York, NY, USA
| | | | - Kiwon Lee
- ICAP at Columbia University, New York, NY, USA
| | - Hetal Patel
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Katrina Sleeman
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | | | | | | | - Owen Mugurungi
- Zimbabwe Ministry of Health and Child Care, Harare, Zimbabwe
| | | | | | | | | | | | | | | | | | - Bharat S Parekh
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Jessica Justman
- ICAP at Columbia University, New York, NY, USA.,Department of Epidemiology, Mailman School of Public Health at Columbia University, New York, NY, USA
| | | |
Collapse
|
13
|
McCarthy EA, Subramaniam HL, Prust ML, Prescott MR, Mpasela F, Mwango A, Namonje L, Moyo C, Chibuye B, van den Broek JW, Hehman L, Moberley S. Quality improvement intervention to increase adherence to ART prescription policy at HIV treatment clinics in Lusaka, Zambia: A cluster randomized trial. PLoS One 2017; 12:e0175534. [PMID: 28419106 PMCID: PMC5395211 DOI: 10.1371/journal.pone.0175534] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2016] [Accepted: 03/27/2017] [Indexed: 11/29/2022] Open
Abstract
Introduction In urban areas, crowded HIV treatment facilities with long patient wait times can deter patients from attending their clinical appointments and picking up their medications, ultimately disrupting patient care and compromising patient retention and adherence. Methods Formative research at eight facilities in Lusaka revealed that only 46% of stable HIV treatment patients were receiving a three-month refill supply of antiretroviral drugs, despite it being national policy for stable adult patients. We designed a quality improvement intervention to improve the operationalization of this policy. We conducted a cluster-randomized controlled trial in sixteen facilities in Lusaka with the primary objective of examining the intervention’s impact on the proportion of stable patients receiving three-month refills. The secondary objective was examining whether the quality improvement intervention reduced facility congestion measured through two proxy indicators: daily volume of clinic visits and average clinic wait times for services. Results The mean change in the proportion of three-month refills among control facilities from baseline to endline was 10% (from 38% to 48%), compared to a 25% mean change (an increase from 44% to 69%) among intervention facilities. This represents a significant 15% mean difference (95% CI: 2%-29%; P = 0.03) in the change in proportion of patients receiving three-month refills. On average, control facilities had 15 more visits per day in the endline than in the baseline, while intervention facilities had 20 fewer visits per day in endline than in baseline, a mean difference of 35 fewer visits per day (P = 0.1). The change in the mean facility total wait time for intervention facilities dropped 19 minutes between baseline and endline when compared to control facilities (95% CI: -10.2–48.5; P = 0.2). Conclusion A more patient-centred service delivery schedule of three-month prescription refills for stable patients is viable. We encourage the expansion of this sustainable intervention in Zambia’s urban clinics.
Collapse
Affiliation(s)
| | - Hamsa L. Subramaniam
- Applied Analytics, Clinton Health Access Initiative, Boston, Massachusetts, United States of America
| | - Margaret L. Prust
- Applied Analytics, Clinton Health Access Initiative, Boston, Massachusetts, United States of America
| | - Marta R. Prescott
- Applied Analytics, Clinton Health Access Initiative, Boston, Massachusetts, United States of America
| | - Felton Mpasela
- Demand-Driven Evaluations for Decisions, Clinton Health Access Initiative, Lusaka, Zambia
| | - Albert Mwango
- Clinical Care and Diagnostic Services, Ministry of Health, Lusaka, Zambia
| | - Leah Namonje
- Mother and Child Health, Ministry of Community Development, Mother and Child Health, Lusaka, Zambia
| | - Crispin Moyo
- Clinical Care and Diagnostic Services, Ministry of Health, Lusaka, Zambia
| | - Benjamin Chibuye
- Demand-Driven Evaluations for Decisions, Clinton Health Access Initiative, Lusaka, Zambia
| | | | - Lindsey Hehman
- Health Financing, Clinton Health Access Initiative, Lusaka, Zambia
| | - Sarah Moberley
- Applied Analytics, Clinton Health Access Initiative, Kampala, Uganda
| |
Collapse
|
14
|
Czaicki NL, Holmes CB, Sikazwe I, Bolton C, Savory T, wa Mwanza M, Moyo C, Padian NS, Geng EH. Nonadherence to antiretroviral therapy among HIV-infected patients in Zambia is concentrated among a minority of patients and is highly variable across clinics. AIDS 2017; 31:689-696. [PMID: 28225707 DOI: 10.1097/qad.0000000000001347] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES The distribution of adherence to antiretroviral therapy (ART) can indicates whether barriers are concentrated or more distributed. We quantified the medication possession ratio (MPR) and characterized the distribution of medication nonpossession in a network of clinics in Zambia to identify 'hotspots' and predictors of poorer adherence. METHODS We analyzed a population of adults on ART for more than 3 months who made at least one clinic visit between 1 January 2013 and 28 February 2015. Pharmacy refill and clinical information were obtained through the electronic medical record system used in routine care. We constructed a Lorenz curve to visualize the distribution of poor adherence and used a multilevel logistic regression model to examine factors associated with MPR. RESULTS Among 131 767 patients in 56 clinics [64% women, median age 34 years (interquartile range (IQR) 29-41), median CD4 cell count at ART initiation 351 cells/μl (IQR 220-517)], the median MPR was 85.8% (IQR 70.8-96.8). During months 7-12 on ART, 45.6% of patients had 100% MPR and 10.5% accounted for 50% of medication nonpossession. Across clinics, median MPR ranged from 49.1 to 98.5, and clinic accounted for 12% of the variability in adherence after adjusting for individual and clinic-level characteristics. CONCLUSION A small fraction of patients account for the majority of days of medication nonpossession. Further characterization of these subpopulations is needed to target interventions. Clinic also accounted for much variability in MPR. Health systems interventions targeting clinic 'hot spots' may represent an efficient use of resources to improve ART adherence.
Collapse
|
15
|
Diallo K, Kim AA, Lecher S, Ellenberger D, Beard RS, Dale H, Hurlston M, Rivadeneira M, Fonjungo PN, Broyles LN, Zhang G, Sleeman K, Nguyen S, Jadczak S, Abiola N, Ewetola R, Muwonga J, Fwamba F, Mwangi C, Naluguza M, Kiyaga C, Ssewanyana I, Varough D, Wysler D, Lowrance D, Louis FJ, Desinor O, Buteau J, Kesner F, Rouzier V, Segaren N, Lewis T, Sarr A, Chipungu G, Gupta S, Singer D, Mwenda R, Kapoteza H, Chipeta Z, Knight N, Carmona S, MacLeod W, Sherman G, Pillay Y, Ndongmo CB, Mugisa B, Mwila A, McAuley J, Chipimo PJ, Kaonga W, Nsofwa D, Nsama D, Mwamba FZ, Moyo C, Phiri C, Borget MY, Ya-Kouadio L, Kouame A, Adje-Toure CA, Nkengasong J. Early Diagnosis of HIV Infection in Infants - One Caribbean and Six Sub-Saharan African Countries, 2011-2015. MMWR Morb Mortal Wkly Rep 2016; 65:1285-1290. [PMID: 27880749 DOI: 10.15585/mmwr.mm6546a2] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
Pediatric human immunodeficiency virus (HIV) infection remains an important public health issue in resource-limited settings. In 2015, 1.4 million children aged <15 years were estimated to be living with HIV (including 170,000 infants born in 2015), with the vast majority living in sub-Saharan Africa (1). In 2014, 150,000 children died from HIV-related causes worldwide (2). Access to timely HIV diagnosis and treatment for HIV-infected infants reduces HIV-associated mortality, which is approximately 50% by age 2 years without treatment (3). Since 2011, the annual number of HIV-infected children has declined by 50%. Despite this gain, in 2014, only 42% of HIV-exposed infants received a diagnostic test for HIV (2), and in 2015, only 51% of children living with HIV received antiretroviral therapy (1). Access to services for early infant diagnosis of HIV (which includes access to testing for HIV-exposed infants and clinical diagnosis of HIV-infected infants) is critical for reducing HIV-associated mortality in children aged <15 years. Using data collected from seven countries supported by the U.S. President's Emergency Plan for AIDS Relief (PEPFAR), progress in the provision of HIV testing services for early infant diagnosis was assessed. During 2011-2015, the total number of HIV diagnostic tests performed among HIV-exposed infants within 6 weeks after birth (tests for early infant diagnosis of HIV), as recommended by the World Health Organization (WHO) increased in all seven countries (Cote d'Ivoire, the Democratic Republic of the Congo, Haiti, Malawi, South Africa, Uganda, and Zambia); however, in 2015, the rate of testing for early infant diagnosis among HIV-exposed infants was <50% in five countries. HIV positivity among those tested declined in all seven countries, with three countries (Cote d'Ivoire, the Democratic Republic of the Congo, and Uganda) reporting >50% decline. The most common challenges for access to testing for early infant diagnosis included difficulties in specimen transport, long turnaround time between specimen collection and receipt of results, and limitations in supply chain management. Further reductions in HIV mortality in children can be achieved through continued expansion and improvement of services for early infant diagnosis in PEPFAR-supported countries, including initiatives targeted to reach HIV-exposed infants, ensure access to programs for early infant diagnosis of HIV, and facilitate prompt linkage to treatment for children diagnosed with HIV infection.
Collapse
|
16
|
Gadabu OJ, Munthali CV, Zachariah R, Gudmund-Hinderaker S, Jahn A, Twea H, Gondwe A, Mumba S, Lungu M, Malisita K, Mhango E, Makombe SD, Tenthani L, Mwalwanda L, Moyo C, Douglas GP, Lewis ZL, Chimbwandira F. Is transcription of data on antiretroviral treatment from electronic to paper-based registers reliable in Malawi? Public Health Action 2015; 1:10-2. [PMID: 26392927 DOI: 10.5588/pha.11.0002] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2011] [Accepted: 08/19/2011] [Indexed: 11/10/2022] Open
Abstract
SETTING Antiretroviral treatment (ART) clinics at one central hospital, three district hospitals and one mission hospital in the central and southern regions of Malawi. OBJECTIVE To measure the extent of inaccuracies in the transcription of case registration and recorded deaths between electronic medical data (EMR) and paper registers. This was done to inform the Ministry of Health on the reliability of the paper-based system as backup in case of EMR failure. DESIGN Retrospective analysis of routine programme data. RESULTS A total of 31 763 registrations and 2922 deaths in the EMR were compared with those in the paper registers. In one hospital, up to 24% of overall case registrations were missing from the paper registers. At other sites, the differences were minor and included duplicate patients who should have been classified as 'transfer in' patients in the paper register. There were major differences in the number of registered deaths in two of the five facilities. CONCLUSION There are varying degrees of agreement between the EMR and paper registers which compromise the use of the latter as a backup solution in case of EMR failure. The reasons for this unreliability and ways forward to address the problem are discussed.
Collapse
Affiliation(s)
| | | | | | - S Gudmund-Hinderaker
- Médecins Sans Frontières, Brussels, Belgium ; Center for International Health, University of Bergen, Bergen, Norway
| | - A Jahn
- Department of HIV/AIDS, Ministry of Health, Lilongwe, Malawi
| | - H Twea
- International Union Against Tuberculosis and Lung Disease, Paris, France ; The Lighthouse Trust, Lilongwe, Malawi
| | - A Gondwe
- Baobab Health Trust, Lilongwe, Malawi
| | - S Mumba
- Baobab Health Trust, Lilongwe, Malawi
| | - M Lungu
- Queen Elizabeth Central Hospital, Lilongwe, Malawi
| | - K Malisita
- Queen Elizabeth Central Hospital, Lilongwe, Malawi
| | - E Mhango
- Department of HIV/AIDS, Ministry of Health, Lilongwe, Malawi
| | - S D Makombe
- Department of HIV/AIDS, Ministry of Health, Lilongwe, Malawi
| | - L Tenthani
- Department of HIV/AIDS, Ministry of Health, Lilongwe, Malawi
| | - L Mwalwanda
- Centres for Disease Control and Prevention, Lilongwe, Malawi
| | - C Moyo
- Centre for Monitoring Evaluation Division, Ministry of Health, Lilongwe, Malawi
| | - G P Douglas
- Center for Health Informatics for the Underserved, Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Z L Lewis
- Center for Health Informatics for the Underserved, Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - F Chimbwandira
- Department of HIV/AIDS, Ministry of Health, Lilongwe, Malawi
| |
Collapse
|
17
|
Tagar E, Sundaram M, Condliffe K, Matatiyo B, Chimbwandira F, Chilima B, Mwanamanga R, Moyo C, Chitah BM, Nyemazi JP, Assefa Y, Pillay Y, Mayer S, Shear L, Dain M, Hurley R, Kumar R, McCarthy T, Batra P, Gwinnell D, Diamond S, Over M. Multi-country analysis of treatment costs for HIV/AIDS (MATCH): facility-level ART unit cost analysis in Ethiopia, Malawi, Rwanda, South Africa and Zambia. PLoS One 2014; 9:e108304. [PMID: 25389777 PMCID: PMC4229087 DOI: 10.1371/journal.pone.0108304] [Citation(s) in RCA: 71] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2013] [Accepted: 08/27/2014] [Indexed: 11/30/2022] Open
Abstract
Background Today's uncertain HIV funding landscape threatens to slow progress towards treatment goals. Understanding the costs of antiretroviral therapy (ART) will be essential for governments to make informed policy decisions about the pace of scale-up under the 2013 WHO HIV Treatment Guidelines, which increase the number of people eligible for treatment from 17.6 million to 28.6 million. The study presented here is one of the largest of its kind and the first to describe the facility-level cost of ART in a random sample of facilities in Ethiopia, Malawi, Rwanda, South Africa and Zambia. Methods & Findings In 2010–2011, comprehensive data on one year of facility-level ART costs and patient outcomes were collected from 161 facilities, selected using stratified random sampling. Overall, facility-level ART costs were significantly lower than expected in four of the five countries, with a simple average of $208 per patient-year (ppy) across Ethiopia, Malawi, Rwanda and Zambia. Costs were higher in South Africa, at $682 ppy. This included medications, laboratory services, direct and indirect personnel, patient support, equipment and administrative services. Facilities demonstrated the ability to retain patients alive and on treatment at these costs, although outcomes for established patients (2–8% annual loss to follow-up or death) were better than outcomes for new patients in their first year of ART (77–95% alive and on treatment). Conclusions This study illustrated that the facility-level costs of ART are lower than previously understood in these five countries. While limitations must be considered, and costs will vary across countries, this suggests that expanded treatment coverage may be affordable. Further research is needed to understand investment costs of treatment scale-up, non-facility costs and opportunities for more efficient resource allocation.
Collapse
Affiliation(s)
- Elya Tagar
- HIV, TB and Health Financing, Clinton Health Access Initiative, Boston, Massachusetts, United States of America
- * E-mail:
| | - Maaya Sundaram
- HIV, TB and Health Financing, Clinton Health Access Initiative, Boston, Massachusetts, United States of America
| | - Kate Condliffe
- HIV, TB and Health Financing, Clinton Health Access Initiative, Boston, Massachusetts, United States of America
| | - Blackson Matatiyo
- Planning, Monitoring, Evaluation and Research, National AIDS Commission, Lilongwe, Malawi
| | | | - Ben Chilima
- Community Health Sciences Unit, Ministry of Health, Lilongwe, Malawi
| | - Robert Mwanamanga
- Department of Planning and Policy Development, Ministry of Health, Lilongwe, Malawi
| | - Crispin Moyo
- National ART Program, Ministry of Health, Lusaka, Zambia
| | | | - Jean Pierre Nyemazi
- Planning, Monitoring and Evaluation Division, Ministry of Health, Kigali, Rwanda
| | - Yibeltal Assefa
- Planning, Monitoring and Evaluation Directorate, Federal HIV/AIDS Prevention and Control Office, Addis Ababa, Ethiopia
| | - Yogan Pillay
- HIV/AIDS, TB and MCWH, National Department of Health, Pretoria, South Africa
| | - Sam Mayer
- HIV, TB and Health Financing, Clinton Health Access Initiative, Boston, Massachusetts, United States of America
| | - Lauren Shear
- HIV, TB and Health Financing, Clinton Health Access Initiative, Lilongwe, Malawi
| | - Mary Dain
- HIV, TB and Health Financing, Clinton Health Access Initiative, Kigali, Rwanda
| | - Raphael Hurley
- HIV, TB and Health Financing, Clinton Health Access Initiative, Addis Ababa, Ethiopia
| | - Ritu Kumar
- HIV, TB and Health Financing, Clinton Health Access Initiative, Lusaka, Zambia
| | - Thomas McCarthy
- HIV, TB and Health Financing, Clinton Health Access Initiative, Pretoria, South Africa
| | - Parul Batra
- HIV, TB and Health Financing, Clinton Health Access Initiative, Boston, Massachusetts, United States of America
| | - Dan Gwinnell
- HIV, TB and Health Financing, Clinton Health Access Initiative, Boston, Massachusetts, United States of America
| | - Samantha Diamond
- HIV, TB and Health Financing, Clinton Health Access Initiative, Boston, Massachusetts, United States of America
| | - Mead Over
- Center for Global Development, Washington, District of Columbia, United States of America
| |
Collapse
|
18
|
Gadabu OJ, Manjomo RC, Mwakilama SG, Douglas GP, Harries AD, Moyo C, Makonokaya LD, Kang'oma S, Chitedze P, Chinsinga FB. An electronic register for vital registration in a rural village with no electricity in Malawi. Public Health Action 2014; 4:145-9. [PMID: 26400800 DOI: 10.5588/pha.14.0015] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2014] [Accepted: 05/02/2014] [Indexed: 11/10/2022] Open
Abstract
SETTING Chalasa village, Traditional Authority Mtema, Lilongwe District, Malawi. OBJECTIVES To report on the deployment of an electronic register in a rural village with no electricity. Specific objectives were to document 1) challenges in setting up the electronic village register (EVR); 2) demographics of village residents, along with births and deaths over three quarters; and 3) the costs of setting up the system. DESIGN A descriptive study. RESULTS The main challenges were slow adoption of the EVR by the village headman, lack of health passports for village residents, double counting of some residents and difficult connectivity. These challenges were overcome. In terms of data, of 790 village residents, 379 (48%) were male, 417 (53%) were aged <15 years and 29 (3.6%) ⩾65 years. From April to December 2013, there were 18 births and 5 deaths. The cost of the EVR, including maintenance costs for 12 months, was US$6210. CONCLUSION An EVR was successfully deployed in Chalasa village, rural Malawi, and data on the resident village population, along with quarterly births and deaths, are now available. This is the first step towards a village-level civil registration system in rural Africa.
Collapse
Affiliation(s)
| | | | | | - G P Douglas
- Center for Health Informatics for the Underserved, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - A D Harries
- International Union Against Tuberculosis and Lung Disease, Paris, France ; London School of Hygiene & Tropical Medicine, London, UK
| | - C Moyo
- Central Monitoring and Evaluation Division, Ministry of Health, Lilongwe
| | - L D Makonokaya
- Ministry of Local Government and Rural Development, Lilongwe
| | - S Kang'oma
- National Registration Bureau, Office of the President and Cabinet, Lilongwe, Malawi
| | - P Chitedze
- National Registration Bureau, Office of the President and Cabinet, Lilongwe, Malawi
| | - F B Chinsinga
- National Registration Bureau, Office of the President and Cabinet, Lilongwe, Malawi
| |
Collapse
|
19
|
Scott CA, Iyer HS, McCoy K, Moyo C, Long L, Larson BA, Rosen S. Retention in care, resource utilization, and costs for adults receiving antiretroviral therapy in Zambia: a retrospective cohort study. BMC Public Health 2014; 14:296. [PMID: 24684772 PMCID: PMC3995515 DOI: 10.1186/1471-2458-14-296] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2013] [Accepted: 03/14/2014] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Of the estimated 800,000 adults living with HIV in Zambia in 2011, roughly half were receiving antiretroviral therapy (ART). As treatment scale up continues, information on the care provided to patients after initiating ART can help guide decision-making. We estimated retention in care, the quantity of resources utilized, and costs for a retrospective cohort of adults initiating ART under routine clinical conditions in Zambia. METHODS Data on resource utilization (antiretroviral [ARV] and non-ARV drugs, laboratory tests, outpatient clinic visits, and fixed resources) and retention in care were extracted from medical records for 846 patients who initiated ART at ≥15 years of age at six treatment sites between July 2007 and October 2008. Unit costs were estimated from the provider's perspective using site- and country-level data and are reported in 2011 USD. RESULTS Patients initiated ART at a median CD4 cell count of 145 cells/μL. Fifty-nine percent of patients initiated on a tenofovir-containing regimen, ranging from 15% to 86% depending on site. One year after ART initiation, 75% of patients were retained in care. The average cost per patient retained in care one year after ART initiation was $243 (95% CI, $194-$293), ranging from $184 (95% CI, $172-$195) to $304 (95% CI, $290-$319) depending on site. Patients retained in care one year after ART initiation received, on average, 11.4 months' worth of ARV drugs, 1.5 CD4 tests, 1.3 blood chemistry tests, 1.4 full blood count tests, and 6.5 clinic visits with a doctor or clinical officer. At all sites, ARV drugs were the largest cost component, ranging from 38% to 84% of total costs, depending on site. CONCLUSIONS Patients initiate ART late in the course of disease progression and a large proportion drop out of care after initiation. The quantity of resources utilized and costs vary widely by site, and patients utilize a different mix of resources under routine clinical conditions than if they were receiving fully guideline-concordant care. Improving retention in care and guideline concordance, including increasing the use of tenofovir in first-line ART regimens, may lead to increases in overall treatment costs.
Collapse
Affiliation(s)
| | | | | | | | | | - Bruce A Larson
- Center for Global Health and Development, Boston University, Crosstown Center, 3rd Floor, 801 Massachusetts Avenue, Boston, MA 02118, USA.
| | | |
Collapse
|
20
|
Vinikoor MJ, Moyo C. Leveraging rapid implementation of an HIV treatment policy to reduce confounding in observational analysis of antiretroviral outcomes. Trop Med Int Health 2014; 19:499-500. [PMID: 24646005 DOI: 10.1111/tmi.12300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Michael J Vinikoor
- Centre for Infectious Disease Research in Zambia, Lusaka, Zambia; University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | |
Collapse
|
21
|
Vinikoor MJ, Schuttner L, Moyo C, Li M, Musonda P, Hachaambwa LM, Stringer JS, Chi BH. Short communication: Late refills during the first year of antiretroviral therapy predict mortality and program failure among HIV-infected adults in urban Zambia. AIDS Res Hum Retroviruses 2014; 30:74-7. [PMID: 23924188 DOI: 10.1089/aid.2013.0167] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
We evaluated the association of the number of late antiretroviral therapy (ART) refills with patient outcomes in a large public-sector human immunodeficiency virus treatment program in Lusaka, Zambia. Using pharmacy data routinely collected during 2004-2010, we calculated the number of late refills during the initial year of ART. We used multivariable Cox proportional hazard regression to examine the association between the number of late refills and death or program failure (i.e., death, loss to follow-up, or program withdrawal) >12 months after ART initiation, with and without stratification by the medication possession ratio (MPR) during the initial year of ART. Of 53,015 adults who received ART for ≥12 months (median follow-up duration, 86.1 months; interquartile range, 53.2-128.2 months), 26,847 (50.6%) had 0 late refills, 16,762 (31.6%) had 1, 6,505 (12.3%) had 2, and 2,901 (5.5%) had ≥3. Kaplan-Meier analysis revealed that ≥3 late refills was associated with a greater mortality risk than 1 and 2 late refills (p<0.001, by the log-rank test). The mortality risk was greater for patients with 2 late refills [adjusted hazard ratio (HR), 1.17; 95% confidence interval (CI), 0.99-1.38] or ≥3 late refills (adjusted HR, 1.51; 95% CI, 1.23-1.87), compared with that for patients with 0-1 late refills. Program failure was associated with ≥2 late refills. An MPR of <80% was associated with similar increases in mortality risk across late-refill strata. Monitoring late refills during the initial period of ART may help resource- and time-constrained clinics identify patients at risk for program failure.
Collapse
Affiliation(s)
- Michael J. Vinikoor
- Centre for Infectious Disease Research in Zambia, Lusaka, Zambia
- University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | | | | | - Michelle Li
- Centre for Infectious Disease Research in Zambia, Lusaka, Zambia
| | - Patrick Musonda
- Centre for Infectious Disease Research in Zambia, Lusaka, Zambia
| | - Lottie M. Hachaambwa
- University Teaching Hospital, Lusaka, Zambia
- Department of Medicine, University of Maryland, Baltimore, Maryland
| | - Jeffrey S.A. Stringer
- Centre for Infectious Disease Research in Zambia, Lusaka, Zambia
- University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Benjamin H. Chi
- Centre for Infectious Disease Research in Zambia, Lusaka, Zambia
- University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| |
Collapse
|
22
|
Scott CA, Iyer H, Bwalya DL, McCoy K, Meyer-Rath G, Moyo C, Bolton-Moore C, Larson B, Rosen S. Retention in care and outpatient costs for children receiving antiretroviral therapy in Zambia: a retrospective cohort analysis. PLoS One 2013; 8:e67910. [PMID: 23840788 PMCID: PMC3695874 DOI: 10.1371/journal.pone.0067910] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2012] [Accepted: 05/22/2013] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND There are few published estimates of the cost of pediatric antiretroviral therapy (ART) in Africa. Our objective was to estimate the outpatient cost of providing ART to children remaining in care at six public sector clinics in Zambia during the first three years after ART initiation, stratified by service delivery site and time on treatment. METHODS Data on resource utilization (drugs, diagnostics, outpatient visits, fixed costs) and treatment outcomes (in care, died, lost to follow up) were extracted from medical records for 1,334 children at six sites who initiated ART at <15 years of age between 2006 and 2011. Fixed and variable unit costs (reported in 2011 USD) were estimated from the provider's perspective using site level data. RESULTS Median age at ART initiation was 4.0 years; median CD4 percentage was 14%. One year after ART initiation, 73% of patients remained in care, ranging from 60% to 91% depending on site. The average annual outpatient cost per patient remaining in care was $209 (95% CI, $199-$219), ranging from $116 (95% CI, $107-$126) to $516 (95% CI, $499-$533) depending on site. Average annual costs decreased as time on treatment increased. Antiretroviral drugs were the largest component of all outpatient costs (>50%) at four sites. At the two remaining sites, outpatient visits and fixed costs together accounted for >50% of outpatient costs. The distribution of costs is slightly skewed, with median costs 3% to 13% lower than average costs during the first year after ART initiation depending on site. CONCLUSIONS Outpatient costs for children initiating ART in Zambia are low and comparable to reported outpatient costs for adults. Outpatient costs and retention in care vary widely by site, suggesting opportunities for efficiency gains. Taking advantage of such opportunities will help ensure that targets for pediatric treatment coverage can be met.
Collapse
Affiliation(s)
- Callie A. Scott
- Center for Global Health and Development, Boston University, Boston, Massachusetts, United States of America
- Zambia Center for Applied Health Research and Development, Lusaka, Zambia
- * E-mail:
| | - Hari Iyer
- Zambia Center for Applied Health Research and Development, Lusaka, Zambia
| | | | - Kelly McCoy
- Center for Global Health and Development, Boston University, Boston, Massachusetts, United States of America
| | - Gesine Meyer-Rath
- Center for Global Health and Development, Boston University, Boston, Massachusetts, United States of America
- Health Economics and Epidemiology Research Office, Wits Health Consortium, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | | | - Carolyn Bolton-Moore
- Department of Obstetrics & Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Centre for Infectious Disease Research in Zambia, Lusaka, Zambia
| | - Bruce Larson
- Center for Global Health and Development, Boston University, Boston, Massachusetts, United States of America
- Department of International Health, School of Public Health, Boston University, Boston, Massachusetts, United States of America
| | - Sydney Rosen
- Center for Global Health and Development, Boston University, Boston, Massachusetts, United States of America
- Health Economics and Epidemiology Research Office, Wits Health Consortium, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| |
Collapse
|
23
|
Sasaki Y, Kakimoto K, Dube C, Sikazwe I, Moyo C, Syakantu G, Komada K, Miyano S, Ishikawa N, Kita K, Kai I. Adherence to antiretroviral therapy (ART) during the early months of treatment in rural Zambia: influence of demographic characteristics and social surroundings of patients. Ann Clin Microbiol Antimicrob 2012; 11:34. [PMID: 23270312 PMCID: PMC3599627 DOI: 10.1186/1476-0711-11-34] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2012] [Accepted: 12/16/2012] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Around 70% of those living with HIV in need of treatment accessed antiretroviral therapy (ART) in Zambia by 2009. However, sustaining high levels of adherence to ART is a challenge. This study aimed to identify the predictive factors associated with ART adherence during the early months of treatment in rural Zambia. METHODS This is a field based observational longitudinal study in Mumbwa district, which is located 150 km west of Lusaka, the capital of Zambia. Treatment naive patients aged over 15 years, who initiated treatment during September-November 2010, were enrolled. Patients were interviewed at the initiation and six weeks later. The treatment adherence was measured according to self-reporting by the patients. Multiple logistic regression analysis was performed to identify the predictive factors associated with the adherence. RESULTS Of 157 patients, 59.9% were fully adherent to the treatment six weeks after starting ART. According to the multivariable analysis, full adherence was associated with being female [Adjusted Odds Ratio (AOR), 3.3; 95% Confidence interval (CI), 1.2-8.9], having a spouse who were also on ART (AOR, 4.4; 95% CI, 1.5-13.1), and experience of food insufficiency in the previous 30 days (AOR, 5.0; 95% CI, 1.8-13.8). Some of the most common reasons for missed doses were long distance to health facilities (n = 21, 53.8%), food insufficiency (n = 20, 51.3%), and being busy with other activities such as work (n = 15, 38.5%). CONCLUSIONS The treatment adherence continues to be a significant challenge in rural Zambia. Social supports from spouses and people on ART could facilitate their treatment adherence. This is likely to require attention by ART services in the future, focusing on different social influences on male and female in rural Zambia. In addition, poverty reduction strategies may help to reinforce adherence to ART and could mitigate the influence of HIV infection for poor patients and those who fall into poverty after starting ART.
Collapse
Affiliation(s)
- Yuri Sasaki
- Department of Infection Control and Prevention, Graduate School of Nursing, Nagoya City University, Kawasumi 1, Mizuho-ku, Nagoya-shi, Aichi, 467-8601, Japan.
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
24
|
Mishra L, Henostroza G, Harris J, Siyambango M, Krunner A, Kaunda K, Zikazwe I, Moyo C, Reid S, Brewer T. Evaluating the cost-effectiveness of TB diagnostic strategies in HIV-positive patients in Lusaka, Zambia. Int J Infect Dis 2012. [DOI: 10.1016/j.ijid.2012.05.957] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
|
25
|
|
26
|
Abstract
A case report of a patient with carcinoma of the cervix with metastasis to the oral cavity clinically mimicking a primary oral cavity neoplasm is described. The patient presented one year after completing radiotherapy followed by radical hysterectomy and pelvic lymphadenectomy for carcinoma of the cervix. Excellent palliation was produced with radiotherapy. We are not aware of any reported case of oral cavity metastasis from carcinoma of the cervix.
Collapse
Affiliation(s)
- N G Davidson
- Department of Radiotherapy, Poole General Hospital, Dorset
| | | |
Collapse
|