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Suraratdecha C, MacKellar D, Steiner C, Rwabiyago OE, Cham HJ, Msumi O, Maruyama H, Kundi G, Byrd J, Weber R, Mkemwa G, Kazaura K, Justman J, Rwebembera A. Cost-outcome analysis of HIV testing and counseling, linkage, and defaulter tracing services in Bukoba, Tanzania. AIDS Care 2024; 36:744-751. [PMID: 37607238 PMCID: PMC10881889 DOI: 10.1080/09540121.2023.2247959] [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] [Indexed: 08/24/2023]
Abstract
Effective services along the HIV continuum of care from HIV testing and counseling to linkage, and from linkage to antiretroviral therapy (ART) initiation and retention, are key to improved health outcomes of persons living with HIV. A comprehensive analysis of the costs and outcomes of cascade services is needed to help allocate and prioritize resources to achieve UNAIDS targets. We evaluated the costs and population-level impact of a community-wide, integrated scale-up of testing, linkage, and defaulter-tracing programs implemented in Bukoba Municipal Council, Tanzania. Costs per identified HIV-positive client for provider-initiated, and home- and venue-based testing and counseling were $92.64 United States dollars (USD), $256.33 USD, and $281.57 USD, respectively. Costs per patient linked to HIV care and ART were $47.69 USD and $74.12 USD, respectively, during all ART-eligibility periods combined. Costs per defaulter traced and returned to HIV care were $47.56 USD and $206.77 USD, respectively. The provider-initiated testing and counseling was the most cost-effective modality. Testing approaches targeted to populations groups and geographic location with high testing positivity rates may improve the overall efficiency of testing services. The expansion of ART eligibility criteria and high linkage rate also result in efficiency gains and economies of scale of linkage services.
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Affiliation(s)
- Chutima Suraratdecha
- Division of Global HIV and TB, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Duncan MacKellar
- Division of Global HIV and TB, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | | | - Haddi Jatou Cham
- Division of Global HIV and TB, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Omari Msumi
- ICAP at Columbia University, Dar es Salaam, Tanzania
| | | | - Gerald Kundi
- ICAP at Columbia University, Dar es Salaam, Tanzania
| | | | - Rachel Weber
- Centers for Disease Control and Prevention, Harare, Zimbabwe
| | - Grace Mkemwa
- ICAP at Columbia University, Dar es Salaam, Tanzania
| | | | | | - Anath Rwebembera
- National AIDS Control Program, Ministry of Health, Community Development, Gender, Elderly and Children, Dar es Salaam, Tanzania
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Makofane K, Kim H, Tchetgen Tchetgen E, Bassett MT, Berkman L, Adeagbo O, McGrath N, Seeley J, Shahmanesh M, Yapa HM, Herbst K, Tanser F, Bärnighausen T. Impact of family networks on uptake of health interventions: evidence from a community-randomized control trial aimed at increasing HIV testing in South Africa. J Int AIDS Soc 2023; 26:e26142. [PMID: 37598389 PMCID: PMC10440100 DOI: 10.1002/jia2.26142] [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: 09/05/2022] [Accepted: 06/21/2023] [Indexed: 08/22/2023] Open
Abstract
INTRODUCTION While it is widely acknowledged that family relationships can influence health outcomes, their impact on the uptake of individual health interventions is unclear. In this study, we quantified how the efficacy of a randomized health intervention is shaped by its pattern of distribution in the family network. METHODS The "Home-Based Intervention to Test and Start" (HITS) was a 2×2 factorial community-randomized controlled trial in Umkhanyakude, KwaZulu-Natal, South Africa, embedded in the Africa Health Research Institute's population-based demographic and HIV surveillance platform (ClinicalTrials.gov # NCT03757104). The study investigated the impact of two interventions: a financial micro-incentive and a male-targeted HIV-specific decision support programme. The surveillance area was divided into 45 community clusters. Individuals aged ≥15 years in 16 randomly selected communities were offered a micro-incentive (R50 [$3] food voucher) for rapid HIV testing (intervention arm). Those living in the remaining 29 communities were offered testing only (control arm). Study data were collected between February and November 2018. Using routinely collected data on parents, conjugal partners, and co-residents, a socio-centric family network was constructed among HITS-eligible individuals. Nodes in this network represent individuals and ties represent family relationships. We estimated the effect of offering the incentive to people with and without family members who also received the offer on the uptake of HIV testing. We fitted a linear probability model with robust standard errors, accounting for clustering at the community level. RESULTS Overall, 15,675 people participated in the HITS trial. Among those with no family members who received the offer, the incentive's efficacy was a 6.5 percentage point increase (95% CI: 5.3-7.7). The efficacy was higher among those with at least one family member who received the offer (21.1 percentage point increase (95% CI: 19.9-22.3). The difference in efficacy was statistically significant (21.1-6.5 = 14.6%; 95% CI: 9.3-19.9). CONCLUSIONS Micro-incentives appear to have synergistic effects when distributed within family networks. These effects support family network-based approaches for the design of health interventions.
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Affiliation(s)
- Keletso Makofane
- Department of Biostatistics, Epidemiology and InformaticsUniversity of PennsylvaniaPhiladelphiaUnited States
| | - Hae‐Young Kim
- Department of Population HealthNew York University Grossman School of MedicineNew YorkNew YorkUSA
- Africa Health Research InstituteKwa‐Zulu NatalSouth Africa
| | - Eric Tchetgen Tchetgen
- Department of Biostatistics, Epidemiology and InformaticsUniversity of PennsylvaniaPhiladelphiaUnited States
- Department of Statistics and Data Science, The Wharton SchoolUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Mary T. Bassett
- FXB Center for Health and Human RightsHarvard UniversityBostonMassachusettsUSA
| | - Lisa Berkman
- Harvard Center for Population and Development StudiesHarvard UniversityCambridgeUnited States
| | | | - Nuala McGrath
- Africa Health Research InstituteKwa‐Zulu NatalSouth Africa
- Department of Social Statistics and DemographyUniversity of SouthamptonSouthamptonUK
| | - Janet Seeley
- Africa Health Research InstituteKwa‐Zulu NatalSouth Africa
- Department of Global Health and DevelopmentLondon School of Hygiene & Tropical MedicineLondonUK
| | - Maryam Shahmanesh
- Africa Health Research InstituteKwa‐Zulu NatalSouth Africa
- Institute for Global HealthUniversity College LondonLondonUK
| | - H. Manisha Yapa
- Kirby Institute for Infection and ImmunityUniversity of New South WalesSydneyNew South WalesAustralia
| | - Kobus Herbst
- Africa Health Research InstituteKwa‐Zulu NatalSouth Africa
| | - Frank Tanser
- Africa Health Research InstituteKwa‐Zulu NatalSouth Africa
- Centre for Epidemic Response and Innovation, School for Data Science and Computational ThinkingStellenbosch UniversityStellenboschSouth Africa
- School of Nursing and Public HealthUniversity of Kwa‐Zulu NatalDurbanSouth Africa
- Centre for the AIDS Programme of Research in South Africa (CAPRISA)University of Kwa‐Zulu NatalDurbanSouth Africa
| | - Till Bärnighausen
- Africa Health Research InstituteKwa‐Zulu NatalSouth Africa
- Heidelberg Institute of Global Health, Faculty of Medicine and University HospitalUniversity of HeidelbergHeidelbergGermany
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Zhou Y, Lu Y, Ni Y, Wu D, He X, Ong JJ, Tucker JD, Sylvia SY, Jing F, Li X, Huang S, Shen G, Xu C, Xiong Y, Sha Y, Cheng M, Xu J, Jiang H, Dai W, Huang L, Zou F, Wang C, Yang B, Mei W, Tang W. Monetary incentives and peer referral in promoting secondary distribution of HIV self-testing among men who have sex with men in China: A randomized controlled trial. PLoS Med 2022; 19:e1003928. [PMID: 35157727 PMCID: PMC8887971 DOI: 10.1371/journal.pmed.1003928] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 03/01/2022] [Accepted: 01/21/2022] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Digital network-based methods may enhance peer distribution of HIV self-testing (HIVST) kits, but interventions that can optimize this approach are needed. We aimed to assess whether monetary incentives and peer referral could improve a secondary distribution program for HIVST among men who have sex with men (MSM) in China. METHODS AND FINDINGS Between October 21, 2019 and September 14, 2020, a 3-arm randomized controlled, single-blinded trial was conducted online among 309 individuals (defined as index participants) who were assigned male at birth, aged 18 years or older, ever had male-to-male sex, willing to order HIVST kits online, and consented to take surveys online. We randomly assigned index participants into one of the 3 arms: (1) standard secondary distribution (control) group (n = 102); (2) secondary distribution with monetary incentives (SD-M) group (n = 103); and (3) secondary distribution with monetary incentives plus peer referral (SD-M-PR) group (n = 104). Index participants in 3 groups were encouraged to order HIVST kits online and distribute to members within their social networks. Members who received kits directly from index participants or through peer referral links from index MSM were defined as alters. Index participants in the 2 intervention groups could receive a fixed incentive ($3 USD) online for the verified test result uploaded to the digital platform by each unique alter. Index participants in the SD-M-PR group could additionally have a personalized peer referral link for alters to order kits online. Both index participants and alters needed to pay a refundable deposit ($15 USD) for ordering a kit. All index participants were assigned an online 3-month follow-up survey after ordering kits. The primary outcomes were the mean number of alters motivated by index participants in each arm and the mean number of newly tested alters motivated by index participants in each arm. These were assessed using zero-inflated negative binomial regression to determine the group differences in the mean number of alters and the mean number of newly tested alters motivated by index participants. Analyses were performed on an intention-to-treat basis. We also conducted an economic evaluation using microcosting from a health provider perspective with a 3-month time horizon. The mean number of unique tested alters motivated by index participants was 0.57 ± 0.96 (mean ± standard deviation [SD]) in the control group, compared with 0.98 ± 1.38 in the SD-M group (mean difference [MD] = 0.41),and 1.78 ± 2.05 in the SD-M-PR group (MD = 1.21). The mean number of newly tested alters motivated by index participants was 0.16 ± 0.39 (mean ± SD) in the control group, compared with 0.41 ± 0.73 in the SD-M group (MD = 0.25) and 0.57 ± 0.91 in the SD-M-PR group (MD = 0.41), respectively. Results indicated that index participants in intervention arms were more likely to motivate unique tested alters (control versus SD-M: incidence rate ratio [IRR = 2.98, 95% CI = 1.82 to 4.89, p-value < 0.001; control versus SD-M-PR: IRR = 3.26, 95% CI = 2.29 to 4.63, p-value < 0.001) and newly tested alters (control versus SD-M: IRR = 4.22, 95% CI = 1.93 to 9.23, p-value < 0.001; control versus SD-M-PR: IRR = 3.49, 95% CI = 1.92 to 6.37, p-value < 0.001) to conduct HIVST. The proportion of newly tested testers among alters was 28% in the control group, 42% in the SD-M group, and 32% in the SD-M-PR group. A total of 18 testers (3 index participants and 15 alters) tested as HIV positive, and the HIV reactive rates for alters were similar between the 3 groups. The total costs were $19,485.97 for 794 testers, including 450 index participants and 344 alter testers. Overall, the average cost per tester was $24.54, and the average cost per alter tester was $56.65. Monetary incentives alone (SD-M group) were more cost-effective than monetary incentives with peer referral (SD-M-PR group) on average in terms of alters tested and newly tested alters, despite SD-M-PR having larger effects. Compared to the control group, the cost for one more alter tester in the SD-M group was $14.90 and $16.61 in the SD-M-PR group. For newly tested alters, the cost of one more alter in the SD-M group was $24.65 and $49.07 in the SD-M-PR group. No study-related adverse events were reported during the study. Limitations include the digital network approach might neglect individuals who lack internet access. CONCLUSIONS Monetary incentives alone and the combined intervention of monetary incentives and peer referral can promote the secondary distribution of HIVST among MSM. Monetary incentives can also expand HIV testing by encouraging first-time testing through secondary distribution by MSM. This social network-based digital approach can be expanded to other public health research, especially in the era of the Coronavirus Disease 2019 (COVID-19). TRIAL REGISTRATION Chinese Clinical Trial Registry (ChiCTR) ChiCTR1900025433.
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Affiliation(s)
- Yi Zhou
- Zhuhai Center for Disease Control and Prevention, Zhuhai, China
- Faculty of Medicine, Macau University of Science and Technology, Macau SAR, China
| | - Ying Lu
- Dermatology Hospital of South Medical University, Guangzhou, China
- University of North Carolina at Chapel Hill Project-China, Guangzhou, China
| | - Yuxin Ni
- Dermatology Hospital of South Medical University, Guangzhou, China
- University of North Carolina at Chapel Hill Project-China, Guangzhou, China
| | - Dan Wu
- University of North Carolina at Chapel Hill Project-China, Guangzhou, China
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Xi He
- Zhuhai Xutong Voluntary Services Center, Zhuhai, China
| | - Jason J. Ong
- University of North Carolina at Chapel Hill Project-China, Guangzhou, China
- Central Clinical School, Faculty of Medicine, Monash University, Melbourne, Australia
- Melbourne Sexual Health Centre, Alfred Health, Melbourne, Australia
| | - Joseph D. Tucker
- University of North Carolina at Chapel Hill Project-China, Guangzhou, China
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Institute for Global Health and Infectious Diseases, School of Medicine, University of North Carolina at Chapel Hill, North Carolina, United States of America
| | - Sean Y. Sylvia
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Fengshi Jing
- University of North Carolina at Chapel Hill Project-China, Guangzhou, China
- School of Data Science, City University of Hong Kong, Hong Kong SAR, China
| | - Xiaofeng Li
- Zhuhai Center for Disease Control and Prevention, Zhuhai, China
| | - Shanzi Huang
- Zhuhai Center for Disease Control and Prevention, Zhuhai, China
| | - Guangquan Shen
- Dermatology Hospital of South Medical University, Guangzhou, China
- University of North Carolina at Chapel Hill Project-China, Guangzhou, China
| | - Chen Xu
- Dermatology Hospital of South Medical University, Guangzhou, China
- University of North Carolina at Chapel Hill Project-China, Guangzhou, China
| | - Yuan Xiong
- Dermatology Hospital of South Medical University, Guangzhou, China
- University of North Carolina at Chapel Hill Project-China, Guangzhou, China
| | - Yongjie Sha
- Dermatology Hospital of South Medical University, Guangzhou, China
- University of North Carolina at Chapel Hill Project-China, Guangzhou, China
| | - Mengyuan Cheng
- Dermatology Hospital of South Medical University, Guangzhou, China
- University of North Carolina at Chapel Hill Project-China, Guangzhou, China
| | - Junjie Xu
- Peking University Shenzhen Hospital, Shenzhen, China
| | - Hongbo Jiang
- Guangdong Pharmaceutical University, Guangzhou, China
| | - Wencan Dai
- Zhuhai Center for Disease Control and Prevention, Zhuhai, China
| | - Liqun Huang
- Zhuhai Center for Disease Control and Prevention, Zhuhai, China
| | - Fei Zou
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Cheng Wang
- Dermatology Hospital of South Medical University, Guangzhou, China
| | - Bin Yang
- Dermatology Hospital of South Medical University, Guangzhou, China
| | - Wenhua Mei
- Zhuhai Center for Disease Control and Prevention, Zhuhai, China
| | - Weiming Tang
- Dermatology Hospital of South Medical University, Guangzhou, China
- University of North Carolina at Chapel Hill Project-China, Guangzhou, China
- * E-mail:
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MacPherson P, Webb EL, Kamchedzera W, Joekes E, Mjoli G, Lalloo DG, Divala TH, Choko AT, Burke RM, Maheswaran H, Pai M, Squire SB, Nliwasa M, Corbett EL. Computer-aided X-ray screening for tuberculosis and HIV testing among adults with cough in Malawi (the PROSPECT study): A randomised trial and cost-effectiveness analysis. PLoS Med 2021; 18:e1003752. [PMID: 34499665 PMCID: PMC8459969 DOI: 10.1371/journal.pmed.1003752] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 09/23/2021] [Accepted: 08/03/2021] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Suboptimal tuberculosis (TB) diagnostics and HIV contribute to the high global burden of TB. We investigated costs and yield from systematic HIV-TB screening, including computer-aided digital chest X-ray (DCXR-CAD). METHODS AND FINDINGS In this open, three-arm randomised trial, adults (≥18 years) with cough attending acute primary services in Malawi were randomised (1:1:1) to standard of care (SOC); oral HIV testing (HIV screening) and linkage to care; or HIV testing and linkage to care plus DCXR-CAD with sputum Xpert for high CAD4TBv5 scores (HIV-TB screening). Participants and study staff were not blinded to intervention allocation, but investigator blinding was maintained until final analysis. The primary outcome was time to TB treatment. Secondary outcomes included proportion with same-day TB treatment; prevalence of undiagnosed/untreated bacteriologically confirmed TB on day 56; and undiagnosed/untreated HIV. Analysis was done on an intention-to-treat basis. Cost-effectiveness analysis used a health-provider perspective. Between 15 November 2018 and 27 November 2019, 8,236 were screened for eligibility, with 473, 492, and 497 randomly allocated to SOC, HIV, and HIV-TB screening arms; 53 (11%), 52 (9%), and 47 (9%) were lost to follow-up, respectively. At 56 days, TB treatment had been started in 5 (1.1%) SOC, 8 (1.6%) HIV screening, and 15 (3.0%) HIV-TB screening participants. Median (IQR) time to TB treatment was 11 (6.5 to 38), 6 (1 to 22), and 1 (0 to 3) days (hazard ratio for HIV-TB versus SOC: 2.86, 1.04 to 7.87), with same-day treatment of 0/5 (0%) SOC, 1/8 (12.5%) HIV, and 6/15 (40.0%) HIV-TB screening arm TB patients (p = 0.03). At day 56, 2 SOC (0.5%), 4 HIV (1.0%), and 2 HIV-TB (0.5%) participants had undiagnosed microbiologically confirmed TB. HIV screening reduced the proportion with undiagnosed or untreated HIV from 10 (2.7%) in the SOC arm to 2 (0.5%) in the HIV screening arm (risk ratio [RR]: 0.18, 0.04 to 0.83), and 1 (0.2%) in the HIV-TB screening arm (RR: 0.09, 0.01 to 0.71). Incremental costs were US$3.58 and US$19.92 per participant screened for HIV and HIV-TB; the probability of cost-effectiveness at a US$1,200/quality-adjusted life year (QALY) threshold was 83.9% and 0%. Main limitations were the lower than anticipated prevalence of TB and short participant follow-up period; cost and quality of life benefits of this screening approach may accrue over a longer time horizon. CONCLUSIONS DCXR-CAD with universal HIV screening significantly increased the timeliness and completeness of HIV and TB diagnosis. If implemented at scale, this has potential to rapidly and efficiently improve TB and HIV diagnosis and treatment. TRIAL REGISTRATION clinicaltrials.gov NCT03519425.
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Affiliation(s)
- Peter MacPherson
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom
- Malawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi
- Clinical Research Department, London School of Hygiene and Tropical Medicine, London, United Kingdom
- * E-mail:
| | - Emily L. Webb
- MRC Tropical Epidemiology Group, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Wala Kamchedzera
- Malawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi
| | - Elizabeth Joekes
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom
| | - Gugu Mjoli
- Department of Radiology, Chris Hani Baragwanath Hospital, Soweto, South Africa
| | - David G. Lalloo
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom
| | - Titus H. Divala
- Malawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi
- Clinical Research Department, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Helse Nord TB Initiative, College of Medicine, University of Malawi, Blantyre, Malawi
| | - Augustine T. Choko
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom
- Malawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi
| | - Rachael M. Burke
- Malawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi
- Clinical Research Department, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | | | - Madhukar Pai
- McGill International TB Centre, McGill University, Montreal, Canada
| | - S. Bertel Squire
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom
| | - Marriott Nliwasa
- Malawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi
- Helse Nord TB Initiative, College of Medicine, University of Malawi, Blantyre, Malawi
| | - Elizabeth L. Corbett
- Malawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi
- Clinical Research Department, London School of Hygiene and Tropical Medicine, London, United Kingdom
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Choko AT, Fielding K, Johnson CC, Kumwenda MK, Chilongosi R, Baggaley RC, Nyirenda R, Sande LA, Desmond N, Hatzold K, Neuman M, Corbett EL. Partner-delivered HIV self-test kits with and without financial incentives in antenatal care and index patients with HIV in Malawi: a three-arm, cluster-randomised controlled trial. Lancet Glob Health 2021; 9:e977-e988. [PMID: 34143996 PMCID: PMC8220130 DOI: 10.1016/s2214-109x(21)00175-3] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Revised: 03/15/2021] [Accepted: 03/22/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND Secondary distribution of HIV self-testing (HIVST) kits by patients attending clinic services to their partners could improve the rate of HIV diagnosis. We aimed to investigate whether secondary administration of HIVST kits, with or without an additional financial incentive, via women receiving antenatal care (ANC) or via people newly diagnosed with HIV (ie, index patients) could improve the proportion of male partners tested or the number of people newly diagnosed with HIV. METHODS We did a three-arm, open-label, pragmatic, cluster-randomised trial of 27 health centres (clusters), eligible if they were a government primary health centre providing ANC, HIV testing, and ART services, across four districts of Malawi. We recruited women (aged ≥18 years) attending their first ANC visit and whose male partner was available, not already taking ART, and not already tested for HIV during this pregnancy (ANC cohort), and people (aged ≥18 years) with newly diagnosed HIV during routine clinic HIV testing who had at least one sexual contact not already known to be HIV-positive (index cohort). Centres were randomly assigned (1:1:1), using a public selection of computer-generated random allocations, to enhanced standard of care (including an invitation for partners to attend HIV testing services), HIVST only, or HIVST plus a US$10 financial incentive for retesting. The primary outcome for the ANC cohort was the proportion of male partners reportedly tested, as ascertained by interview with women in this cohort at day 28. The primary outcome for the index cohort was the geometric mean number of new HIV-positive people identified per facility within 28 days of enrolment, as measured by observed HIV test results. Cluster-level summaries compared intervention with standard of care by intention to treat. This trial is registered with ClinicalTrials.gov, NCT03705611. FINDINGS Between Sept 8, 2018, and May 2, 2019, nine clusters were assigned to each trial arm, resulting in 4544 eligible women in the ANC cohort (1447 [31·8%] in the standard care group, 1465 [32·2%] in the HIVST only group, and 1632 [35·9%] in HIVST plus financial incentive group) and 708 eligible patients in the index cohort (234 [33·1%] in the standard care group, 169 [23·9%] in the HIVST only group, and 305 [42·9%] in the HIVST plus financial incentive group). 4461 (98·2%) of 4544 eligible women in the ANC cohort and 645 (91·1%) of 708 eligible patients in the index cohort were recruited, of whom 3378 (75·7%) in the ANC cohort and 439 (68·1%) in the index cohort were interviewed after 28 days. In the ANC cohort, the mean proportion of reported partner testing per cluster was 35·0% (SD 10·0) in the standard care group, 73·0% in HIVST only group (13·1, adjusted risk ratio [RR] 1·71, 95% CI 1·48-1·98; p<0·0001), and 65·2% in the HIVST plus financial incentive group (11·6, adjusted RR 1·62, 1·45-1·81; p<0·0001). In the index cohort, the geometric mean number of new HIV-positive sexual partners per cluster was 1·35 (SD 1·62) for the standard care group, 1·91 (1·78) for the HIVST only group (incidence rate ratio adjusted for number eligible as an offset in the negative binomial model 1·65, 95% CI 0·49-5·55; p=0·3370), and 3·20 (3·81) for the HIVST plus financial incentive group (3·11, 0·99-9·77; p=0·0440). Four self-resolving, temporary marital separations occurred due to disagreement in couples regarding HIV self-test kits. INTERPRETATION Although administration of HIVST kits in the ANC cohort, even when offered alongside a financial incentive, did not identify significantly more male patients with HIV than did standard care, out-of-clinic options for HIV testing appear more acceptable to many male partners of women with HIV, increasing test uptake. Viewed in the current context, this approach might allow continuation of services despite COVID-19-related lockdowns. FUNDING Unitaid, through the Self-Testing Africa Initiative.
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Affiliation(s)
- Augustine T Choko
- TB-HIV Group, Malawi-Liverpool-Wellcome Clinical Research Programme, Chichiri, Blantyre, Malawi.
| | - Katherine Fielding
- Department of Infectious Disease Epidemiology and MRC Tropical Epidemiology Group, London School of Hygiene & Tropical Medicine, London, UK
| | - Cheryl C Johnson
- Department of Global Health and Development, London School of Hygiene & Tropical Medicine, London, UK; Global HIV, Hepatitis and STI Programme, WHO, Geneva, Switzerland
| | - Moses K Kumwenda
- TB-HIV Group, Malawi-Liverpool-Wellcome Clinical Research Programme, Chichiri, Blantyre, Malawi
| | | | - Rachel C Baggaley
- Department of Global Health and Development, London School of Hygiene & Tropical Medicine, London, UK
| | - Rose Nyirenda
- Department of HIV-AIDS, Ministry of Health, Lilongwe, Malawi
| | - Linda A Sande
- TB-HIV Group, Malawi-Liverpool-Wellcome Clinical Research Programme, Chichiri, Blantyre, Malawi; Department of Global Health and Development, London School of Hygiene & Tropical Medicine, London, UK
| | - Nicola Desmond
- TB-HIV Group, Malawi-Liverpool-Wellcome Clinical Research Programme, Chichiri, Blantyre, Malawi; Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Karin Hatzold
- Population Services International, Johannesburg, South Africa
| | - Melissa Neuman
- Department of Infectious Disease Epidemiology and MRC Tropical Epidemiology Group, London School of Hygiene & Tropical Medicine, London, UK
| | - Elizabeth L Corbett
- TB-HIV Group, Malawi-Liverpool-Wellcome Clinical Research Programme, Chichiri, Blantyre, Malawi; Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, UK
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Thomas R, Probert WJM, Sauter R, Mwenge L, Singh S, Kanema S, Vanqa N, Harper A, Burger R, Cori A, Pickles M, Bell-Mandla N, Yang B, Bwalya J, Phiri M, Shanaube K, Floyd S, Donnell D, Bock P, Ayles H, Fidler S, Hayes RJ, Fraser C, Hauck K. Cost and cost-effectiveness of a universal HIV testing and treatment intervention in Zambia and South Africa: evidence and projections from the HPTN 071 (PopART) trial. Lancet Glob Health 2021; 9:e668-e680. [PMID: 33721566 PMCID: PMC8050197 DOI: 10.1016/s2214-109x(21)00034-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2020] [Revised: 12/15/2020] [Accepted: 01/21/2021] [Indexed: 12/14/2022]
Abstract
BACKGROUND The HPTN 071 (PopART) trial showed that a combination HIV prevention package including universal HIV testing and treatment (UTT) reduced population-level incidence of HIV compared with standard care. However, evidence is scarce on the costs and cost-effectiveness of such an intervention. METHODS Using an individual-based model, we simulated the PopART intervention and standard care with antiretroviral therapy (ART) provided according to national guidelines for the 21 trial communities in Zambia and South Africa (for all individuals aged >14 years), with model parameters and primary cost data collected during the PopART trial and from published sources. Two intervention scenarios were modelled: annual rounds of PopART from 2014 to 2030 (PopART 2014-30; as the UNAIDS Fast-Track target year) and three rounds of PopART throughout the trial intervention period (PopART 2014-17). For each country, we calculated incremental cost-effectiveness ratios (ICERs) as the cost per disability-adjusted life-year (DALY) and cost per HIV infection averted. Cost-effectiveness acceptability curves were used to indicate the probability of PopART being cost-effective compared with standard care at different thresholds of cost per DALY averted. We also assessed budget impact by projecting undiscounted costs of the intervention compared with standard care up to 2030. FINDINGS During 2014-17, the mean cost per person per year of delivering home-based HIV counselling and testing, linkage to care, promotion of ART adherence, and voluntary medical male circumcision via community HIV care providers for the simulated population was US$6·53 (SD 0·29) in Zambia and US$7·93 (0·16) in South Africa. In the PopART 2014-30 scenario, median ICERs for PopART delivered annually until 2030 were $2111 (95% credible interval [CrI] 1827-2462) per HIV infection averted in Zambia and $3248 (2472-3963) per HIV infection averted in South Africa; and $593 (95% CrI 526-674) per DALY averted in Zambia and $645 (538-757) per DALY averted in South Africa. In the PopART 2014-17 scenario, PopART averted one infection at a cost of $1318 (1098-1591) in Zambia and $2236 (1601-2916) in South Africa, and averted one DALY at $258 (225-298) in Zambia and $326 (266-391) in South Africa, when outcomes were projected until 2030. The intervention had almost 100% probability of being cost-effective at thresholds greater than $700 per DALY averted in Zambia, and greater than $800 per DALY averted in South Africa, in the PopART 2014-30 scenario. Incremental programme costs for annual rounds until 2030 were $46·12 million (for a mean of 341 323 people) in Zambia and $30·24 million (for a mean of 165 852 people) in South Africa. INTERPRETATION Combination prevention with universal home-based testing can be delivered at low annual cost per person but accumulates to a considerable amount when scaled for a growing population. Combination prevention including UTT is cost-effective at thresholds greater than $800 per DALY averted and can be an efficient strategy to reduce HIV incidence in high-prevalence settings. FUNDING US National Institutes of Health, President's Emergency Plan for AIDS Relief, International Initiative for Impact Evaluation, Bill & Melinda Gates Foundation.
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Affiliation(s)
- Ranjeeta Thomas
- Department of Health Policy, London School of Economics and Political Science, London, UK.
| | - William J M Probert
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Rafael Sauter
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | | | - Surya Singh
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | | | - Nosivuyile Vanqa
- Desmond Tutu Tuberculosis Centre, Department of Paediatrics and Child Health, Stellenbosch University, Cape Town, South Africa
| | - Abigail Harper
- Desmond Tutu Tuberculosis Centre, Department of Paediatrics and Child Health, Stellenbosch University, Cape Town, South Africa
| | - Ronelle Burger
- Department of Economics, Stellenbosch University, Cape Town, South Africa
| | - Anne Cori
- Medical Research Council Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK
| | - Michael Pickles
- Medical Research Council Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK
| | - Nomtha Bell-Mandla
- Desmond Tutu Tuberculosis Centre, Department of Paediatrics and Child Health, Stellenbosch University, Cape Town, South Africa
| | - Blia Yang
- Desmond Tutu Tuberculosis Centre, Department of Paediatrics and Child Health, Stellenbosch University, Cape Town, South Africa
| | | | | | | | - Sian Floyd
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | | | - Peter Bock
- Desmond Tutu Tuberculosis Centre, Department of Paediatrics and Child Health, Stellenbosch University, Cape Town, South Africa
| | - Helen Ayles
- Zambart, University of Zambia, Lusaka, Zambia; Department of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Sarah Fidler
- Department of Infectious Disease, Imperial College London, London, UK
| | - Richard J Hayes
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Christophe Fraser
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Katharina Hauck
- Medical Research Council Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK; Abdul Latif Jameel Institute for Disease and Emergency Analytics, School of Public Health, Imperial College London, London, UK
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Meisner J, Roberts DA, Rodriguez P, Sharma M, Newman Owiredu M, Gomez B, de Mello MB, Bobrik A, Vodianyk A, Storey A, Githuka G, Chidarikire T, Barnabas R, Farid S, Essajee S, Jamil MS, Baggaley R, Johnson C, Drake AL. Optimizing HIV retesting during pregnancy and postpartum in four countries: a cost-effectiveness analysis. J Int AIDS Soc 2021; 24:e25686. [PMID: 33787064 PMCID: PMC8010369 DOI: 10.1002/jia2.25686] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [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: 09/16/2020] [Revised: 02/04/2021] [Accepted: 02/17/2021] [Indexed: 01/23/2023] Open
Abstract
INTRODUCTION HIV retesting during late pregnancy and breastfeeding can help detect new maternal infections and prevent mother-to-child HIV transmission (MTCT), but the optimal timing and cost-effectiveness of maternal retesting remain uncertain. METHODS We constructed deterministic models to assess the health and economic impact of maternal HIV retesting on a hypothetical population of pregnant women, following initial testing in pregnancy, on MTCT in four countries: South Africa and Kenya (high/intermediate HIV prevalence), and Colombia and Ukraine (low HIV prevalence). We evaluated six scenarios with varying retesting frequencies from late in antenatal care (ANC) through nine months postpartum. We compared strategies using incremental cost-effectiveness ratios (ICERs) over a 20-year time horizon using country-specific thresholds. RESULTS We found maternal retesting once in late ANC with catch-up testing through six weeks postpartum was cost-effective in Kenya (ICER = $166 per DALY averted) and South Africa (ICER=$289 per DALY averted). This strategy prevented 19% (Kenya) and 12% (South Africa) of infant HIV infections. Adding one or two additional retests postpartum provided smaller benefits (1 to 2 percentage point increase in infections averted versus one retest). Adding three retests during the postpartum period averted additional infections (1 to 3 percentage point increase in infections averted versus one retest) but ICERs ($7639 and in Kenya and $11 985 in South Africa) greatly exceeded the cost-effectiveness thresholds. In Colombia and Ukraine, all retesting strategies exceeded the cost-effectiveness threshold and prevented few infant infections (up to 31 and 5 infections, respectively). CONCLUSIONS In high HIV burden settings with MTCT rates similar to those seen in Kenya and South Africa, HIV retesting once in late ANC, with subsequent intervention, is the most cost-effective strategy for preventing infant HIV infections. In these settings, two HIV retests postpartum marginally reduced MTCT and were less costly than adding three retests. Retesting in low-burden settings with MTCT rates similar to Colombia and Ukraine was not cost-effective at any time point due to very low HIV prevalence and limited breastfeeding.
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Affiliation(s)
| | - D Allen Roberts
- Department of EpidemiologyUniversity of WashingtonSeattleWAUSA
| | - Patricia Rodriguez
- The Comparative Health Outcomes Policy & Economics InstituteUniversity of WashingtonSeattleWAUSA
| | - Monisha Sharma
- Department of Global HealthUniversity of WashingtonSeattleWAUSA
| | | | - Bertha Gomez
- Pan American Health Organization/World Health OrganizationColombia OfficeBogotáColombia
| | - Maeve B de Mello
- Department of Communicable Diseases and Environmental Determinants of HealthPan American Health Organization/World Health OrganizationWashingtonDCUSA
| | - Alexey Bobrik
- Global Fund to Fight AIDS, Tuberculosis and MalariaGenevaSwitzerland
| | | | | | | | - Thato Chidarikire
- HIV Prevention ProgrammesNational Department of HealthPretoriaSouth Africa
| | - Ruanne Barnabas
- Department of EpidemiologyUniversity of WashingtonSeattleWAUSA
- Department of Global HealthUniversity of WashingtonSeattleWAUSA
- Department of MedicineUniversity of WashingtonSeattleWAUSA
| | - Shiza Farid
- Department of Global HealthUniversity of WashingtonSeattleWAUSA
| | | | - Muhammad S Jamil
- Global HIV, Hepatitis and STI programmeWorld Health OrganizationGenevaSwitzerland
| | - Rachel Baggaley
- Global HIV, Hepatitis and STI programmeWorld Health OrganizationGenevaSwitzerland
| | - Cheryl Johnson
- Global HIV, Hepatitis and STI programmeWorld Health OrganizationGenevaSwitzerland
| | - Alison L Drake
- Department of Global HealthUniversity of WashingtonSeattleWAUSA
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De Broucker G, Salvatore PP, Mutembo S, Moyo N, Mutanga JN, Thuma PE, Moss WJ, Sutcliffe CG. The cost-effectiveness of scaling-up rapid point-of-care testing for early infant diagnosis of HIV in southern Zambia. PLoS One 2021; 16:e0248217. [PMID: 33690733 PMCID: PMC7943017 DOI: 10.1371/journal.pone.0248217] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [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: 12/03/2020] [Accepted: 02/22/2021] [Indexed: 01/06/2023] Open
Abstract
Introduction Early infant diagnosis (EID) and treatment can prevent much of the HIV-related morbidity and mortality experienced by children but is challenging to implement in sub-Saharan Africa. Point-of-care (PoC) testing would decentralize testing and increase access to rapid diagnosis. The objective of this study was to determine the cost-effectiveness of PoC testing in Southern Province, Zambia. Methods A decision tree model was developed to compare health outcomes and costs between the standard of care (SoC) and PoC testing using GeneXpert and m-PIMA platforms. The primary health outcome was antiretroviral treatment (ART) initiation within 60 days of sample collection. Additional outcomes included ART initiation by 12 months of age and death prior to ART initiation. Costs included both capital and recurrent costs. Health outcomes and costs were combined to create incremental cost effectiveness ratios (ICERs). Results The proportion of children initiating ART within 60 days increased from 27.8% with SoC to 79.8–82.8% with PoC testing depending on the algorithm and platform. The proportion of children initiating ART by 12 months of age increased from 50.9% with SoC to 84.0–86.5% with PoC testing. The proportion of HIV-infected children dying prior to ART initiation decreased from 18.1% with SoC to 3.8–4.6% with PoC testing. Total program costs were similar for the SoC and GeneXpert but higher for m-PIMA. ICERs for PoC testing were favorable, ranging from $23–1,609 for ART initiation within 60 days, $37–2,491 for ART initiation by 12 months of age, and $90–6,188 for deaths prior to ART initiation. Factors impacting the costs of PoC testing, including the lifespan of the testing instruments and integrated utilization of PoC platforms, had the biggest impact on the ICERs. Integrating utilization across programs decreased costs for the EID program, such that PoC testing was cost-saving in some situations. Conclusion PoC testing has the potential to improve linkage to care and ART initiation for HIV-infected infants and should be considered for implementation within EID programs to achieve equity in access to HIV services and reduce HIV-related pediatric morbidity and mortality.
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Affiliation(s)
- Gatien De Broucker
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Phillip P. Salvatore
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | | | | | | | | | - William J. Moss
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Catherine G. Sutcliffe
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
- * E-mail:
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Awopegba OE, Kalu A, Ahinkorah BO, Seidu AA, Ajayi AI. Prenatal care coverage and correlates of HIV testing in sub-Saharan Africa: Insight from demographic and health surveys of 16 countries. PLoS One 2020; 15:e0242001. [PMID: 33166351 PMCID: PMC7652338 DOI: 10.1371/journal.pone.0242001] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [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: 07/14/2020] [Accepted: 10/26/2020] [Indexed: 11/19/2022] Open
Abstract
Background Prenatal screening of pregnant women for HIV is central to eliminating mother-to-child-transmission (MTCT) of HIV. While some countries in sub-Saharan Africa (SSA) have scaled up their prevention of MTCT programmes, ensuring a near-universal prenatal care HIV testing, and recording a significant reduction in new infection among children, several others have poor outcomes due to inadequate testing. We conducted a multi-country analysis of demographic and health surveys (DHS) to assess the coverage of HIV testing during pregnancy and also examine the factors associated with uptake. Methods We analysed data of 64,933 women from 16 SSA countries with recent DHS datasets (2015–2018) using Stata version 16. Adjusted and unadjusted logistic regression models were used to examine correlates of prenatal care uptake of HIV testing. Statistical significance was set at p<0.05. Results Progress in scaling up of prenatal care HIV testing was uneven across SSA, with only 6.1% of pregnant women tested in Chad compared to 98.1% in Rwanda. While inequality in access to HIV testing among pregnant women is pervasive in most SSA countries and particularly in West and Central Africa sub-regions, a few countries, including Rwanda, South Africa, Zimbabwe, Malawi and Zambia have managed to eliminate wealth and rural-urban inequalities in access to prenatal care HIV testing. Conclusion Our findings highlight the between countries and sub-regional disparities in prenatal care uptake of HIV testing in SSA. Even though no country has universal coverage of prenatal care HIV testing, East and Southern African regions have made remarkable progress towards ensuring no pregnant woman is left untested. However, the West and Central Africa regions had low coverage of prenatal care testing, with the rich and well educated having better access to testing, while the poor rarely tested. Addressing the inequitable access and coverage of HIV testing among pregnant women is vital in these sub-regions.
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Affiliation(s)
- Oluwafemi Emmanuel Awopegba
- Economics and Business Policy Department, Nigerian Institute of Social and Economic Research, Ibadan, Nigeria
| | - Amarachi Kalu
- Department of Sociology, Faculty of the Social Sciences, University of Ibadan, Ibadan, Nigeria
| | - Bright Opoku Ahinkorah
- The Australian Centre for Public and Population Health Research (ACPPHR), Faculty of Health, University of Technology, Sydney, Australia
| | - Abdul-Aziz Seidu
- Department of Population and Health, University of Cape Coast, Cape Coast, Ghana
- College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, Queensland, Australia
| | - Anthony Idowu Ajayi
- Population Dynamics and Reproductive Health Unit, African Population and Health Research Centre, APHRC Campus, Nairobi, Kenya
- * E-mail:
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10
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Skaathun B, Pho MT, Pollack HA, Friedman SR, McNulty MC, Friedman EE, Schmitt J, Pitrak D, Schneider JA. Comparison of effectiveness and cost for different HIV screening strategies implemented at large urban medical centre in the United States. J Int AIDS Soc 2020; 23:e25554. [PMID: 33119195 PMCID: PMC7594703 DOI: 10.1002/jia2.25554] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [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: 11/19/2019] [Revised: 05/21/2020] [Accepted: 05/28/2020] [Indexed: 11/08/2022] Open
Abstract
INTRODUCTION Incident HIV infections persist in the United States (U.S.) among marginalized populations. Targeted and cost-efficient testing strategies can help in reaching HIV elimination. This analysis compares the effectiveness and cost of three HIV testing strategies in a high HIV burden area in the U.S. in identifying new HIV infections. METHODS We performed a cost analysis comparing three HIV testing strategies in Chicago: (1) routine screening (RS) in an inpatient and outpatient setting, (2) modified partner services (MPS) among networks of the recently HIV infected and diagnosed, and (3) a respondent drive sampling (RDS)-based social network (SN) approach targeting young African-American men who have sex with men. All occurred at the same academic medical centre during the following times: routine testing, 2011 to 2016; MPS, 2013 to 2016; SN: 2013 to 2014. Costs were in 2016 dollars and included personnel, HIV testing, training, materials, overhead. Outcomes included cost per test, HIV-positive test and new diagnosis. Sensitivity analyses were performed to assess the impact of population demographics. RESULTS The RS programme completed 57,308 HIV tests resulting in 360 (0.6%) HIV-positive tests and 165 new HIV diagnoses (0.28%). The MPS completed 146 HIV tests, resulting in 79 (54%) HIV-positive tests and eight new HIV diagnoses (5%). The SN strategy completed 508 HIV tests, resulting in 210 (41%) HIV-positive tests and 37 new HIV diagnoses (7.2%). Labour accounted for the majority of costs in all strategies. The estimated cost per new HIV diagnosis was $16,773 for the RS programme, $61,418 for the MPS programme and $15,683 for the SN testing programme. These costs were reduced for the RS and MPS strategies in sensitivity analyses limiting testing efficacy to the highest prevalence patient populations ($2,841 and $33,233 respectively). CONCLUSIONS The SN strategy yielded the highest proportion of new diagnoses, followed closely by the MPS programme. Both the SN strategy and RS programme were comparable in the cost per new diagnosis. A simultaneous approach that consists of RS in combination with SN testing may be most effective for identifying new HIV infections in settings with heterogeneous epidemics with both high rates of HIV prevalence and HIV testing.
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Affiliation(s)
- Britt Skaathun
- Department of Infectious Diseases and Global Public HealthUniversity of CaliforniaSan DiegoCAUSA
- Department of Public Health SciencesUniversity of ChicagoChicagoILUSA
- Chicago Center for HIV EliminationChicagoILUSA
| | - Mai T Pho
- Department of MedicineUniversity of ChicagoChicagoILUSA
| | - Harold A Pollack
- School of Social Service AdministrationUniversity of ChicagoChicagoILUSA
| | - Samuel R Friedman
- Department of Population HealthNew York University Medical SchoolNew YorkNYUSA
| | - Moira C McNulty
- Chicago Center for HIV EliminationChicagoILUSA
- Department of MedicineUniversity of ChicagoChicagoILUSA
| | | | | | - David Pitrak
- Department of MedicineUniversity of ChicagoChicagoILUSA
| | - John A Schneider
- Department of Public Health SciencesUniversity of ChicagoChicagoILUSA
- Chicago Center for HIV EliminationChicagoILUSA
- Department of MedicineUniversity of ChicagoChicagoILUSA
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Vyas S, Songo J, Guinness L, Dube A, Geis S, Kalua T, Todd J, Renju J, Crampin A, Wringe A. Assessing the costs and efficiency of HIV testing and treatment services in rural Malawi: implications for future "test and start" strategies. BMC Health Serv Res 2020; 20:740. [PMID: 32787835 PMCID: PMC7422472 DOI: 10.1186/s12913-020-05446-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [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: 01/20/2020] [Accepted: 06/03/2020] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Reaching the 90-90-90 targets requires efficient resource use to deliver HIV testing and treatment services. We investigated the costs and efficiency of HIV services in relation to HIV testing yield in rural Karonga District, Malawi. METHODS Costs of HIV services were measured over 12 months to September 2017 in five health facilities, drawing on recognised health costing principles. Financial and economic costs were collected in Malawi Kwacha and United States Dollars (US$). Costs were calculated using a provider perspective to estimate average annual costs (2017 US$) per HIV testing episode, per HIV-positive case diagnosed, and per patient-year on antiretroviral therapy (ART), by facility. Costs were assessed in relation to scale of operation and facility-level annual HIV positivity rate. A one-way sensitivity analysis was undertaken to understand how staffing levels and the HIV positivity rate affected HIV testing costs. RESULTS HIV testing episodes per day and per full-time equivalent HIV health worker averaged 3.3 (range 2.0 to 5.7). The HIV positivity rate averaged 2.4% (range 1.9 to 3.7%). The average cost per testing episode was US$2.85 (range US$1.95 to US$8.55), and the average cost per HIV diagnosis was US$116.35 (range US$77.42 to US$234.11), with the highest costs found in facilities with the lowest daily number of tests and lowest HIV yield respectively. The mean facility-level cost per patient-year on ART was approximately US$100 (range US$90.67 to US$115.42). ART drugs were the largest cost component averaging 71% (range 55 to 76%). The cost per patient-year of viral load tests averaged US$4.50 (range US$0.52 to US$7.00) with cost variation reflecting differences in the tests to ART patient ratio across facilities. CONCLUSION Greater efficiencies in HIV service delivery are possible in Karonga through increasing daily testing episodes among existing health workers or allocating health workers to tasks in addition to testing. Costs per diagnosis will increase as yields decline, and therefore, encouraging targeted testing strategies that increase yield will be more efficient. Given the contribution of drug costs to per patient-year treatment costs, it is critical to preserve the life-span of first-line ART regimens, underlining the need for continuing adherence support and regular viral load monitoring.
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Affiliation(s)
- Seema Vyas
- Department of Population Health, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT UK
| | - John Songo
- Malawi Epidemiology and Intervention Research Unit, Lilongwe, Malawi
| | | | - Albert Dube
- Malawi Epidemiology and Intervention Research Unit, Lilongwe, Malawi
| | - Steffen Geis
- Department of Population Health, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT UK
- Malawi Epidemiology and Intervention Research Unit, Lilongwe, Malawi
- Institute of Medical Microbiology and Hygiene, Philipps University Margburg, Marburg, Germany
| | - Thokozani Kalua
- Department of HIV and AIDS, Ministry of Health, Lilongwe, Malawi
| | - Jim Todd
- Department of Population Health, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT UK
| | - Jenny Renju
- Department of Population Health, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT UK
| | - Amelia Crampin
- Department of Population Health, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT UK
- Malawi Epidemiology and Intervention Research Unit, Lilongwe, Malawi
| | - Alison Wringe
- Department of Population Health, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT UK
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Grov C, Stief M, Westmoreland DA, MacCrate C, Mirzayi C, Nash D. Maximizing Response Rates to Ads for Free At-Home HIV Testing on a Men-for-Men Geosocial Sexual Networking App: Lessons Learned and Implications for Researchers and Providers. Health Educ Behav 2020; 47:5-13. [PMID: 31896287 DOI: 10.1177/1090198119893692] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [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] [Indexed: 11/15/2022]
Abstract
Internet-based recruitment can be effective in reaching large numbers of geographically diverse individuals. Geosocial sexual networking apps on smartphones have emerged as the modal way in which men who have sex with men (MSM) meet sex partners, and as venues for sexual health research. We report on the performance of three types of ads-text-only, text with male figure (no face), and text with male figure (with face)-used on a geosocial sexual networking app to advertise free at-home HIV testing and to enroll in an online study. We ran five 2-week-long ads on a popular MSM geosocial app between fall 2017 and spring 2018 (~2.19 million impressions). Ads were evaluated in terms of the click-through rate (CTR = advertisement clicks/advertisement impressions), conversion rates (CR = number of enrolled participants/ad-generated clicks), cost per enrolled participant, and demographic composition of survey respondents. We enrolled n = 4,023 individuals, n = 2,430 of whom completed HIV testing-$6.21 spent on advertising per participant enrolled and $10.29 spent for everyone who completed HIV testing. Cost per enrolled participant was associated with the content of the ad used-ads featuring male figures (with or without a face shown) were more cost efficient than ads featuring text alone. These ads also outperformed text-only ads across a range of metrics, including responsiveness among younger MSM as well as MSM of color. Advertising materials that combine text with images may have greater appeal among priority populations.
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Affiliation(s)
| | | | | | | | | | - Denis Nash
- The City University of New York New York, NY, USA
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