Search

Men who have sex with men (MSM) often change sexual behaviors following HIV diagnosis. This systematic review examined such changes, including sero-adaptive behaviors (i.e., deliberate safer-sex practices to reduce transmission risk) to better understand the magnitude of their association with HIV diagnosis. We searched four databases (1996-2017) and reviewed references from other systematic reviews. We included studies conducted in the United States that compared sexual behavior among HIV-infected "aware" versus "unaware" MSM. We meta-analytically pooled RRs and associated 95% confidence intervals (CI) using random-effects models, and assessed risk of bias and evidence quality. Twenty studies reported k = 131 effect sizes on sexual practices outcomes, most of which reported changes in unprotected sex (k = 85), and on sex with at-risk partners (k = 76); 11 reported sero-adaptive behaviors. Unprotected anal intercourse with an HIV-uninfected/unknown-status partner was less likely among aware MSM (insertive position: k = 2, RR 0.26, 95% CI 0.17, 0.41; receptive position: k = 2, RR 0.53, 95% CI 0.37, 0.77). Risk of not always serosorting among aware MSM (k = 3) was RR = 0.92 (0.83, 1.02). Existing evidence, although low-quality, suggests that HIV-infected MSM tend to adopt safer sexual practices once aware of their diagnosis. Variation in reporting of outcomes limits their comparability. Sero-adaptive behavior data are sparse.

BackgroundDespite significant public health implications, the extent to which community-based condom distribution interventions (CDI) prevent HIV infection in the United States is not well understood.MethodsWe systematically reviewed research evidence applying Cochrane Collaboration methods. We used a comprehensive search strategy to search multiple bibliographic databases for relevant randomized controlled trials (RCTs) and non-RCTs published from 1986-2017. We focused on CDI that made condoms widely available or accessible in community settings. Eligible outcomes were HIV infection (primary), sexually transmitted infections, condom use, and multiple sexual partnership. Two reviewers independently screened citations to assess their eligibility, extracted study data, and assessed risk of bias. We calculated risk ratios (RR) with 95% confidence intervals (CI) and pooled them using random-effects models. We assessed evidence quality using GRADE.ResultsWe reviewed 5,110 unique records. Nine studies (including one RCT) met eligibility criteria. Studies were conducted in 10 US states between 1989 and 2011. All studies were at high risk of bias. Interventions were categorized into three groups: "Ongoing" (unlimited access to condoms), "Ongoing-plus" (unlimited access to condoms, with co-interventions), and "Coupon-based" (coupons redeemed for condoms). No studies reported incident HIV. Ongoing CDI (four non-RCTs) modestly reduced condomless sex (RR 0.88, 95% CI 0.78 to 0.99). Ongoing-plus CDI (two non-RCTs) significantly reduced multiple sexual partnership (RR 0.37, 95% CI 0.16 to 0.87). Of two coupon-based studies, one (non-RCT) showed reduction in condomless sex in female participants (Odds Ratio 0.67, 95% CI 0.47 to 0.96), while the other one (RCT) showed no effect on STI incidence (RR 0.91, 95% CI 0.63 to 1.31). Evidence quality was "very low" for all outcomes.ConclusionsCDI may reduce some risky sexual behaviors, but the evidence for any reduction is limited and of low-quality. Lack of biological outcomes precludes assessing the link between CDI and HIV incidence.

: Introduction: Data‐to‐care programmes utilize surveillance data to identify persons who are out of HIV care, re‐engage them in care and improve HIV care outcomes. We assess the costs and cost‐effectiveness of re‐engagement in an HIV care intervention in the United States. Methods: The Cooperative Re‐engagement Control Trial (CoRECT) employed a data‐to‐care collaborative model between health departments and HIV care providers, August 2016–July 2018. The health departments in Connecticut (CT), Massachusetts (MA) and Philadelphia (PHL) collaborated with HIV clinics to identify newly out‐of‐care patients and randomize them to receive usual linkage and engagement in care services (standard‐of‐care control arm) or health department‐initiated active re‐engagement services (intervention arm). We used a microcosting approach to identify the activities and resources involved in the CoRECT intervention, separate from the standard‐of‐care, and quantified the costs. The cost data were collected at the start‐up and recurrent phases of the trial to incorporate potential variation in the intervention costs. The costs were estimated from the healthcare provider perspective. Results: The CoRECT trial in CT, MA and PHL randomly assigned on average 327, 316 and 305 participants per year either to the intervention arm (n = 166, 159 and 155) or the standard‐of‐care arm (n = 161, 157 and 150), respectively. Of those randomized, the number of participants re‐engaged in care within 90 days in the intervention and standard‐of‐care arms was 85 and 70 in CT, 84 and 70 in MA, and 98 and 67 in PHL. The additional number of participants re‐engaged in care in the intervention arm compared with those in the standard‐of‐care arm was 15 (CT), 14 (MA) and 31 (PHL). We estimated the annual total cost of the CoRECT intervention at $490,040 in CT, $473,297 in MA and $439,237 in PHL. The average cost per participant enrolled was $2952, $2977 and $2834 and the average cost per participant re‐engaged in care was $5765, $5634 and $4482. We estimated an incremental cost per participant re‐engaged in care at $32,669 (CT), $33,807 (MA) and $14,169 (PHL). Conclusions: The costs of the CoRECT intervention that identified newly out‐of‐care patients and re‐engaged them in HIV care are comparable with other similar interventions, suggesting a potential for its cost‐effectiveness in the US context., INTRODUCTION There are an estimated 1.2 million people with HIV (PWH) in the United States. The clinical practice guidelines for HIV recommend initiating antiretroviral therapy for everyone at diagnosis [1]. [...]

Introduction: HIV testing is an essential prerequisite for accessing treatment with antiretroviral therapy or prevention using pre-exposure prophylaxis. Internet distribution of HIV self-tests is a novel approach, and data on the programmatic cost of this approach are limited. We analyse the costs and cost-effectiveness of a self-testing programme. Methods: Men who have sex with men (MSM) reporting unknown or negative HIV status were enrolled from March to August 2015 into a 12-month trial of HIV self-testing in the United States. Participants were randomly assigned either to the self-testing arm or the control arm. All participants received information on HIV testing services and locations in their community. Self-testing participants received up to four self-tests each quarter, which they could use themselves or distribute to their social network associates. Quarterly follow-up surveys collected testing outcomes, including number of tests used and new HIV diagnoses. Using trial expenditure data, we estimated the cost of implementing a self-testing programme. Primary outcomes of this analysis included total programme implementation costs, cost per self-test completed, cost per person tested, cost per new HIV diagnosis among those self-tested and cost per quality adjusted life year (QALY) saved. Results: A total of 2665 men were assigned either to the self-testing arm (n = 1325) or the control arm (n = 1340). HIV testing was reported by 971 self-testing participants who completed a total of 5368 tests. In the control arm, 619 participants completed 1463 HIV tests. The self-testing participants additionally distributed 2864 self-tests to 2152 social network associates. Testing during the trial identified 59 participants and social network associates with newly diagnosed HIV infection in the self-testing arm; 11 control participants were newly diagnosed with HIV. The implementation cost of the HIV self-testing programme was $449,510. The cost per self-test completed, cost per person tested at least once, and incremental cost per new HIV diagnosis was $61, $145 and $9365 respectively. We estimated that self-testing programme potentially averted 3.34 transmissions, saved 14.86 QALYs and nearly $1.6 million lifetime HIV treatment costs. Conclusions: The HIV self-testing programme identified persons with newly diagnosed HIV infection at low cost, and the programme is cost saving. Keywords: HIV self-testing; social networks; costs and cost-effectiveness; costing methods; clinical trial expenditures; United States, 1 | INTRODUCTION An estimated 1.1 million people in the United States are living with HIV, and 14% are unaware of their HIV-positive status [1]. Gay, bisexual and other men [...]

Background: Cost-effectiveness analysis of HIV self-testing using patient-level data from a randomized clinical trial can inform HIV prevention funding decisions. Cost-effectiveness analysis using net-benefit regression addresses the sampling uncertainty in the trial data and the variability of policymakers' willingness to pay (WTP). Methods: We used published data from a 12-month longitudinal randomized clinical trial that enrolled 2665 men who had sex with men randomly assigned to the self-testing arm (participants receiving self-test kits) and control arm (participants receiving standard-of-care), and the self-testing arm identified 48 additional new HIV cases. We used net-benefit regression to investigate the cost-effectiveness of an HIV self-testing intervention, which compared the incremental cost per new HIV diagnosis with policymakers' WTP thresholds. We addressed the uncertainties in estimating the incremental cost and the policymakers' WTP per new diagnosis through the incremental net-benefit (INB) regression and cost-effectiveness acceptability curve (CEAC) analyses. Results: From the health care provider's perspective, the INB analysis showed a positive net benefit of HIV self-testing compared with standard-of-care when policymakers' WTP per new HIV diagnosis was $9365 (95% confidence interval: $5700 to $25,500) or higher. The CEAC showed that the probability of HIV self-testing being cost-effective compared with standard-of-care was 58% and >99% at a WTP of $10 000 and $50 000 per new HIV diagnosis, respectively. Conclusion: The INB and CEAC analyses suggest that HIV self-testing has the potential to be cost-effective for relatively low values of policymakers' WTP. [ABSTRACT FROM AUTHOR]

Background: HIV testing is an entry point to access HIV care and prevention services. Building Healthy Online Communities developed a website (TakeMeHome.org) where participants can order HIV home test kits. The purpose of this study was to analyze the costs and impact of the TakeMeHome program. Methods: We estimated the costs of TakeMeHome across all participating jurisdictions for the first year of the program. We estimated program costs using purchase orders and invoices, contracts, and allocation of staff time, and the costs included website design, participant recruitment, administration and overhead, HIV self-test kits, and shipping and handling. Primary outcomes of the analysis were total program cost, cost per HIV test, and cost per new HIV diagnosis. Results: The TakeMeHome program distributed 5323 HIV self-tests to 4859 participants over a 12-month period. The total program cost over this period was $314,870. The cost per HIV test delivered was estimated at $59, and the cost per person tested was $65. The program identified 18 confirmed new HIV diagnoses (0.6% positivity) verified with surveillance data in 7 health jurisdictions at $169,890. The cost per confirmed new HIV diagnosis was estimated at $9440. Conclusions: The TakeMeHome program delivered HIV self-testing at a reasonable cost, and the program may be a cost-effective use of HIV prevention resources. The public-private partnership can be an effective mechanism to validate HIV diagnoses identified with self-testing and provide HIV prevention and linkage to care services. [ABSTRACT FROM AUTHOR]

Objective: Preexposure prophylaxis (PrEP) is recommended for people at risk of acquiring HIV. We assessed billable costs associated with PrEP delivery at community health centers. Methods: The Sustainable Health Center Implementation PrEP Pilot (SHIPP) study is an observational cohort of people receiving daily oral PrEP at participating federally qualified health centers and other community health centers. We assessed health care utilization and billable costs of providing PrEP at 2 health centers, 1 in Chicago, Illinois, and 1 in Washington, DC, from 2014 to 2018. The health centers followed the clinical practice guidelines for PrEP provision, including regular visits with health care providers and ongoing laboratory monitoring. Using clinic billing records and Current Procedural Terminology (CPT) coding, we retrospectively extracted data on the frequency and costs (in 2017 US dollars) of PrEP clinic visits and laboratory screening, for each patient, for 12 months since first PrEP prescription. Results: The average annual number of PrEP clinic visits and associated laboratory screens per patient was 5.1 visits and 25.2 screens in Chicago (n = 482 patients) and 5.4 visits and 24.8 screens in Washington, DC (n = 56 patients). The average annual PrEP billable cost per patient was $583 for clinic visits and $1070 for laboratory screens in Chicago and $923 for clinic visits and $1018 for laboratory screens in Washington, DC. The average annual total cost per patient was $1653 (95% CI, $1639-$1668) in Chicago and $1941 (95% CI, $1811-$2071) in Washington, DC. Conclusions: Our analysis, which provides PrEP billable cost estimates based on empirical data, may help inform health care providers who are considering implementing this HIV prevention strategy. [ABSTRACT FROM AUTHOR]

To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.jenvman.2006.11.014 Byline: Ram K. Shrestha, Taylor V. Stein, Julie Clark Keywords: Nature-based tourism; Travel cost model; Economic valuation; Florida Abstract: As more people visit natural areas for tourism and recreation purposes, it is becoming increasingly important to understand the value they place on these natural resources. Specifically, tourists to Florida have been increasingly interested in visiting natural areas, forests, parks, and preserves -- highlighting the importance of this new and growing phenomenon. We analyze visitors' demand for nature-based recreation in the Apalachicola River region of Florida using the travel cost method. The results from a count data regression model reveal that on average visitors would pay $74.18 per visit-day for nature-based recreation resulting in a total economic value of $484.56 million attributable to nature-based recreation in the Apalachicola River region. Results of this study provide useful information for natural resources management in the region and a rationale to preserve Florida's unique ecosystems. Author Affiliation: School of Forest Resources and Conservation, Institute of Food and Agricultural Sciences, University of Florida, P.O. Box 110410, Gainesville, FL 32611, USA Article History: Received 11 September 2003; Revised 21 May 2006; Accepted 6 November 2006

Abstract Background The role of HIV-1 RNA in the emergence of resistance to antiretroviral therapies (ARTs) is well documented while less is known about the role of historical viruses stored in the proviral DNA. The primary focus of this work was to characterize the genetic diversity and evolution of HIV drug resistant variants in an individual’s provirus during antiretroviral therapy using next generation sequencing. Methods Blood samples were collected prior to antiretroviral therapy exposure and during the course of treatment from five patients in whom drug resistance mutations had previously been identified using consensus sequencing. The spectrum of viral variants present in the provirus at each sampling time-point were characterized using 454 pyrosequencing from multiple combined PCR products. The prevalence of viral variants containing drug resistant mutations (DRMs) was characterized at each time-point. Results Low abundance drug resistant viruses were identified in 14 of 15 sampling time-points from the five patients. In all individuals DRMs against current therapy were identified at one or more of the sampling time-points. In two of the five individuals studied these DRMs were present prior to treatment exposure and were present at high prevalence within the amplified and sequenced viral population. DRMs to drugs other than those being currently used were identified in four of the five individuals. Conclusion The presence of DRMs in the provirus, regardless of their observed prevalence did not appear to have an effect on clinical outcomes in the short term suggesting that the drug resistant viral variants present in the proviral DNA do not appear to play a role in the short term in facilitating the emergence of drug resistance.