Mitigating the Heroin Crisis in Baltimore, MD, USA: a Cost-Benefit Analysis of a Hypothetical Supervised Injection Facility Amos Irwin1,2*, Ehsan Jozaghi3,4, Brian W

Mitigating the Heroin Crisis in Baltimore, MD, USA: a Cost-Benefit Analysis of a Hypothetical Supervised Injection Facility Amos Irwin1,2*, Ehsan Jozaghi3,4, Brian W

Irwin et al. Harm Reduction Journal (2017) 14:29 DOI 10.1186/s12954-017-0153-2 RESEARCH Open Access Mitigating the heroin crisis in Baltimore, MD, USA: a cost-benefit analysis of a hypothetical supervised injection facility Amos Irwin1,2*, Ehsan Jozaghi3,4, Brian W. Weir5, Sean T. Allen5, Andrew Lindsay5 and Susan G. Sherman6 Abstract Background: In Baltimore, MD, as in many cities throughout the USA, overdose rates are on the rise due to both the increase of prescription opioid abuse and that of fentanyl and other synthetic opioids in the drug market. Supervised injection facilities (SIFs) are a widely implemented public health intervention throughout the world, with 97 existing in 11 countries worldwide. Research has documented the public health, social, and economic benefits of SIFs, yet none exist in the USA. The purpose of this study is to model the health and financial costs and benefits of a hypothetical SIF in Baltimore. Methods: We estimate the benefits by utilizing local health data and data on the impact of existing SIFs in models for six outcomes: prevented human immunodeficiency virus transmission, Hepatitis C virus transmission, skin and soft- tissue infection, overdose mortality, and overdose-related medical care and increased medication-assisted treatment for opioid dependence. Results: We predict that for an annual cost of $1.8 million, a single SIF would generate $7.8 million in savings, preventing 3.7 HIV infections, 21 Hepatitis C infections, 374 days in the hospital for skin and soft-tissue infection, 5.9 overdose deaths, 108 overdose-related ambulance calls, 78 emergency room visits, and 27 hospitalizations, while bringing 121 additional people into treatment. Conclusions: We conclude that a SIF would be both extremely cost-effective and a significant public health and economic benefit to Baltimore City. Keywords: Supervised injection facility, Supervised consumption rooms, Cost-benefit, Cost-effectiveness, People who inject drugs, Harm reduction, Opiate overdose, Heroin, Baltimore, Maryland Background cheaper than prescription opioids, heroin, and cocaine, Baltimore City has one of the highest overdose death and are extremely potent [2–5]. rates in the country, and overdoses have been increasing There are numerous additional medical costs associ- in recent years. From 2014 to 2015, heroin-related over- ated with injection drug use, largely related to infectious dose deaths in Baltimore increased from 192 to 260 [1]. diseases and soft-tissue infections. Roughly 18% of the These increases are in part attributed to the prevalence people who inject drugs (PWID) in Baltimore are HIV of fentanyl in the heroin supply, with fentanyl causing positive, twice the 9% national average for PWID and 50 31 and 51% of 2015 and 2016 overdose deaths, respect- times the prevalence in the general population [6–8]. ively. Fentanyl is 50–100 times more potent than heroin One in five Baltimore PWID suffers chronic skin and or morphine. Illicit fentanyl and derivatives are appeal- soft-tissue infection, the leading cause of PWID ing to illicit drug networks as these chemicals are hospitalization [9–11]. Supervised injection facilities (SIFs) have been estab- lished worldwide to reduce the harms associated with in- * Correspondence: [email protected] 1Law Enforcement Action Partnership, Silver Spring, MD, USA jection drug use. In SIFs, PWID inject previously 2Criminal Justice Policy Foundation, Silver Spring, MD, USA obtained drugs in the presence of medical staff. A Full list of author information is available at the end of the article © The Author(s). 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. Irwin et al. Harm Reduction Journal (2017) 14:29 Page 2 of 14 number of public health, social, and economic benefits methodologies between this paper and past analyses for of SIFs have been evaluated by studies of the Insite SIF each individual outcome in the “Methods” section. in Vancouver, Canada and the Medically Supervised Injecting Centre (MSIC) in Sydney, Australia, both of Methods which were established in 2003 [12–15]. This study calculates the financial and health costs and Among these benefits, studies have demonstrated benefits of a hypothetical Baltimore SIF modeled on four in particular that can be quantified. First, SIFs re- Insite. Insite occupies roughly 1,000 ft2, provides 13 duce blood-borne disease transmission by providing booths for clients, and operates 18 h per day. Insite clean needles and safer injecting education [12, 16, 17]. serves about 2100 unique individuals per month, who Second, SIF staff reduce bacterial infection by providing perform roughly 180,000 injections per year [32, 33]. clean injection equipment, cleaning wounds, and iden- This study measures the cost of the facility against sav- tifying serious infections early [18–20].Third,SIFstaff ings from six outcomes: prevention of HIV, HCV, SSTI, interveneincaseofoverdose,meaningthatwhile and overdose deaths, reduced overdose-related medical PWID may overdose at a SIF, none die and few suffer costs, and referrals to MAT. We assess each model’s de- complications [13]. Fourth, the SIF and its staff become pendence on important variables with a sensitivity ana- a trusted, stabilizing force in many hard-to-reach lysis. For the sensitivity analysis, we increase and PWID’s lives, persuading many to enter addiction treat- decrease the chosen variable by 50% and report the im- ment [12, 14, 21]. pact on the outcome. As in other US cities, a multisector discussion about the merits and utility of SIFs has begun in Baltimore due Cost of the facility to rising overdose deaths as well as the inadequacy of Cost calculations are based on a facility equal in size and the current criminal justice-focused response [22]. scope to Insite. We estimate that the annual cost of es- The purpose of this article is to analyze the potential tablishing a new SIF combines both upfront and operat- cost-effectiveness of establishing a SIF in Baltimore. We ing costs. Since we assume the same staffing levels, estimate the annual cost of the facility and the savings equipment needs, and other operating cost inputs as resulting from six separate health outcomes: prevention Insite, we calculate the operating costs by multiplying of HIV infection, HCV infection, skin and soft-tissue in- the Insite SIF’s $1.5 million operating costs by a 4% cost fection (SSTI), overdose death, and nonfatal overdose of living adjustment between Vancouver and Baltimore and increased medication-assisted treatment (MAT) up- [34, 35]. Since the upfront costs would depend on the take. Each estimate includes the health outcome, finan- exact location and extent of renovations required, we cial value, and a sensitivity analysis. First, we present the make a conservative estimate of $1.5 million based on existing literature on SIF cost-benefit analyses, then our actual budgets for similar facilities and standard per- study’s method, its results, its implications, and its square-foot renovation costs [12, 36]. We convert this limitations. upfront cost into a levelized annual payment by assum- ing that it was financed with a loan lasting the lifetime of the facility. We determine the levelized annual pay- SIF cost-benefit analysis literature review ment according to the standard financial equation: Prior cost-benefit analyses of Insite in Vancouver and MSIC in Sydney have assessed a more limited range of iPðÞ C ¼ −N outcomes than the present study. The Insite studies 1−ðÞ1 þ i were limited to the outcomes of HIV prevention, HCV prevention, and overdose death prevention. They have where C is the levelized annual upfront cost, i is a stand- agreed that Insite generates net savings when all three ard 10% interest rate, P is the $1.5 million total upfront outcomes are considered [23, 24]. The cost-benefit ana- cost, and N is the estimated 25-year lifetime of the lysis of Sydney’s MSIC only included savings from over- facility. dose deaths, ambulance calls, and police services averted by the SIF. HIV and HCV prevention benefits A number of other studies have estimated HIV and The HIV infection prevention benefits of Insite, HCV prevention benefits for hypothetical SIFs in Vancouver’s SIF, have been modeled in several cost- Canadian cities from Montreal to Saskatoon [25–30]. benefit analyses [23, 24, 37, 38]. Pinkerton [24] and Irwin et al. [31] are the only other cost-benefit analysis Andresen and Jozaghi [23] estimate 5–6 and 22 infec- of a hypothetical SIF in the USA—in San Francisco, tions averted per year, respectively. These estimates dif- California—and the only other study to consider more fer primarily because Pinkerton [24] assumes that the than three outcomes. We discuss the differences in SIF only impacts injections occurring within the SIF, Irwin et al. Harm Reduction Journal (2017) 14:29 Page 3 of 14 while Andresen and Jozaghi [23] incorporate the fact We perform the same calculations for HCV, and the that the SIF reduces needle sharing outside the SIF as values and sources for the HCV variables are contained well, since Insite staff educate clients on safer injecting in Table 2. practices [38]. We check the model’s validity by comparing its base- To estimate the impact of reduced needle sharing on line prediction of HIV and HCV incidence in Baltimore HIV and HCV infection rates, we use an epidemiological (IHIV and IHCV at spre) with the city’s actual incidence “circulation theory” model developed to calculate how data.

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