Abstract

Background

Mobile retail pharmacies were legalized in Connecticut in 2023 to provide primary care, human immunodeficiency virus (HIV) and hepatitis C virus (HCV) testing, preexposure prophylaxis (PrEP), immediate HIV antiretroviral therapy (ART), and medications for substance use disorders directly to people who use drugs (PWUD).

Methods

InMOTION mobile pharmacy and clinic (MPC) pilot findings describe services provided by pharmacists, clinicians, and community health workers.

Results

From 13 December 2023 through 5 November 2024, the MPC engaged with 414 participants, of whom 43% were female, 26% Black/African American, 32% uninsured, and 37% unhoused or unstably housed. Fifty-one had a previous diagnosis of an opioid use disorder (OUD), 163 accepted screening, 1 received a new diagnosis of moderate to severe OUD, and 37 received medication for OUD. Nine participants requested sexually transmitted infection testing; 3 people had positive results, all were prescribed treatment, and 1 received doxycycline postexposure prophylaxis. Four people had existing HIV diagnoses; 166 accepted rapid point-of-care (POC) testing, resulting in 1 positive test; all received ART (2 oral, 3 injectable); 9 who tested HIV negative accepted PrEP, and 1 accepted the injectable formulation. Twenty-two had known HCV, 157 accepted rapid POC HCV testing, 9 tested positive for HCV antibodies, and 11 underwent HCV viral load (VL) testing; 1 self-cleared, and 8 of 10 with detectable HCV VL received direct-acting antivirals from the MPC. Six were treated for xylazine-related wounds.

Conclusions

Health services delivered through an MPC demonstrate the potential to address healthcare gaps for PWUD and warrant exploration and expansion.

Substance use, including opioids, stimulants, and alcohol use, is associated with an increase in the transmission and acquisition of human immunodeficiency virus (HIV) and hepatitis C virus (HCV) infections via associations with sharing injection drug use works as well as condomless sexual intercourse [1, 2]. Substance use harm reduction strategies and treatment have been pivotal in the reduction of HIV acquisition and risk behaviors [3]. People who use drugs (PWUD) face elevated risks of multiple bacterial infections, including skin and soft tissue infections, bacteremia, infective endocarditis, and osteomyelitis, as well as sexually transmitted infections (STIs) [4, 5].

The intersection of infectious diseases and substance use disorders (SUDs) significantly increases morbidity and mortality among PWUDs [6], who frequently experience multiple concurrent infections and are more likely to have mental health comorbidities [7]. Harm reduction strategies—including syringe service programs (SSPs), safe injection facilities, treatment for opioid, alcohol, and stimulant use disorders (OUD, AUD, and StUD, respectively), and mental health resources—are necessary for improving health outcomes. However, throughout their healthcare journey, PWUDs face a cascade of challenges with prevention, treatment initiation, and retention [8–11].

Mobile health services, such as mobile health clinics (MHCs), bridge these geographical and economic gaps by bringing care directly to underserved communities [12]. MHCs have successfully engaged PWUD in accessing medication for OUD (MOUD) by providing a stigma-free, patient-centered environment [13]. When PWUDs overcome transportation barriers and access a facility, they frequently encounter psychosocial barriers, such as stigma and racism, which contribute to their mistrust of the healthcare system [14, 15] and significantly impede effective medical engagement.

Medication and pharmacy access constitute a final, often-overlooked barrier for PWUD. Even when individuals receive prescriptions for MOUD, HIV preexposure prophylaxis (PrEP), antiretroviral therapy (ART), mental health, and other comorbidities, or referrals for HIV testing and harm reduction within integrated care models, they must navigate a separate and equally complex pharmacy system. This involves finding a pharmacy that stocks medication for overdose prevention, SUD treatments, HIV treatment or prevention, and sterile syringes [16]. However, studies reveal significant variation in access to MOUD through pharmacies. For example, 1 in 5 pharmacies will not stock or dispense buprenorphine; of those, only 41% have both naloxone and buprenorphine readily available [17, 18]. Additionally, biased attitudes and beliefs among pharmacy staff contribute to limited harm reduction support; many are unwilling to sell syringes to PWUD despite their proven benefits in reducing harm and preventing infectious diseases [19]. Moreover, even in jurisdictions where pharmacies are authorized to prescribe and dispense HIV PrEP or postexposure prophylaxis (PEP), only 8% of pharmacies provide these services [20], thus adding additional barriers to effective HIV prevention strategies and creating a missed opportunity for HIV prevention in a group of persons engaging in high-risk behaviors [13].

To truly incorporate a patient-centered approach, integrated care models must include pharmacy access as a core component to ensure immediate and equitable access to life-saving medications and services [10, 21]. To address these systemic challenges, our study introduces an innovative mobile retail pharmacy and clinic (MPC) model, the first of its kind in the United States (US). This model deploys a multidisciplinary team of clinicians, pharmacists, and community health workers (CHWs) who directly provide integrated clinical and pharmacy care to PWUD in high-overdose communities [10]. It eliminates transportation barriers and delivers stigma-free care by meeting patients where they are—whether in encampments, shelters, or other underserved locations.

METHODS

Overview of the Mobile Retail Pharmacy

The InMOTION (Integrated Mobile Opioid Treatment and Infectious Disease Coordinated Care in Your Neighborhood) MPC is a novel hub-and-spoke model integrating retail pharmacy and MHC services for PWUD conceived of by one of the authors (S. A. S.) and funded by the National Institute on Drug Abuse [10]. This intervention was made possible by legislation in the state of Connecticut (CT), Senate Bill 1102 (An Act Concerning Pharmacies and Pharmacists), which legalized mobile retail pharmacies [22] and authorized pharmacists in CT to test for HIV and dispense HIV treatment with ART or PrEP if the test is negative. Building on this foundation, Senate Bill 133 was passed in CT on 28 May 2024, allowing pharmacy technicians also to conduct HIV testing [23].

The MPC team includes a clinician, a driver, a pharmacist, 3 CHWs, and a medical technician trained in phlebotomy who also functions as a CHW on the MPC. The CHWs mitigate stigma by interacting with the community to assess social determinants; provide OUD/SUD screening, rapid HIV and HCV testing, and noncommunicable disease assessments (eg, blood pressure, finger-stick blood glucose evaluations); and facilitate real-time linkage to clinicians in person on the MPC or via telehealth or referral to local, brick-and-mortar community clinics [24].

The pharmacist on the MPC dispenses medications after receiving electronic prescriptions submitted through telehealth or by MPC clinicians on-site, as well as other licensed providers in the community. The pharmacy stocks medications for many medical conditions, including antibiotics, vaccines, PEP, HCV treatment, STI prevention (doxycycline PEP [Doxy-PEP]) and treatment, naloxone, MOUD, and ART and PrEP (including injectable formulations). The pharmacist collaborates with clinicians and CHWs to arrange follow-up care and refills. Figure 1 provides an overview of the MPC operations.

Diagram illustrating the InMOTION project design, showing a mobile pharmacy and clinic where pharmacists and clinicians deliver services, while community health workers operate in the community. Labeled sections indicate their roles and service locations within the system.
Figure 1.

InMOTION project design. Abbreviations: ART, antiretroviral therapy; AUD, alcohol use disorder; Doxy-PEP, doxycycline postexposure prophylaxis; HCV, hepatitis C; HIV, human immunodeficiency virus; InMOTION, Integrated Mobile Opioid Treatment and Infectious Disease Coordinated Care in Your Neighborhood; LAI BUP, long-acting injectable buprenorphine; OUD, opioid use disorder; PEP, postexposure prophylaxis; PrEP, preexposure prophylaxis; StUD, stimulant use disorder.

Study Design and Participants

The preliminary pilot results from this cross-sectional analysis utilize data from the InMOTION team. Participants were enrolled from areas of CT with a high need for medical and social services, including the towns of Waterbury, Norwich, and New Haven, between 13 December 2023 and 5 November 2024. Descriptive data analysis of the demographic information and services utilized was done using Microsoft Excel (version 16.85) and RStudio software [25].

Patient Consent Statement

This project's activities and protocols were reviewed and approved by the Yale University Institutional Review Board (numbers 2000036289 and 2000031991). A waiver for written informed consent was approved. Participants were not paid for their participation in this project.

Measures

Measures included demographic characteristics, medical and substance use–related screening, and service utilization, including physical examination, laboratory diagnostics, and prescription data. Biological testing included Clinical Laboratory Improvement Amendments–waived rapid HIV [26] and HCV [27] antibody tests. Moderate to severe opioid and stimulant use disorder diagnoses were assessed using the Rapid Opioid and Stimulant Use Disorder Assessments (ROUDA and RSUDA) [28], and alcohol use disorder was assessed via the Alcohol Use Disorder Identification Test (AUDIT) [29]. Medical history was collected through self-report and verification through the Yale New Haven Health System electronic medical record system (EPIC). Real-time data collection was recorded using REDCap (Research Electronic Data Capture) [30].

RESULTS

During the first 11 months of the project, 414 people engaged in services with the InMOTION team (CHWs, clinical staff, and/or the pharmacist) for 543 medical appointments. Of these appointments, 85% (463) were in person, and the remaining 15% (85) of visits were via telehealth. Of the 414 persons, 43% identified as women, 26% were Black/African American, 45% identified as Hispanic, 32% were uninsured, and 37% were unhoused or unstably housed. Of the 283 who responded to items regarding their previous healthcare system engagement (an item added later to the database), 9% were never tested for HIV, and 32% were tested for HIV >1 year ago (Table 1).

Table 1.

Characteristics of Patients Utilizing Integrated Mobile Opioid Treatment and Infectious Disease Coordinated Care in Your Neighborhood (InMOTION) Services (N = 414)

Patient CharacteristicNo. (%)
Gender
 Male225 (54.3)
 Female179 (43.2)
 Transgender3 (0.7)
 Not reported7 (1.7)
Age, y, mean (median)48.7 (49.1)
Race
 White180 (43.5)
 Black/African American108 (26.1)
 Multiple races36 (8.7)
 Other9 (2.2)
 Unsure/refused/not reported81 (19.6)
Hispanic
 Yes188 (45.4)
 No210 (50.7)
 Not reported16 (3.9)
Housing status
 Stably housed231 (55.8)
 Unstably housed59 (14.3)
 Unhoused95 (22.9)
 Not reported29 (7.0)
Covered by health insurance (can select multiple)257 (62.1)
 None133 (32.1)
 Private insurance46 (11.1)
 Medicare28 (6.8)
 Medicaid204 (49.3)
 Not reported24 (5.8)
Engagement with the healthcare system
Most recent HIV testing (n = 283)
 Tested within the last 12 mo80 (28.3)
 More than 1 y ago91 (32.2)
 Never tested before26 (9.2)
 Don’t remember87 (30.7)
Patient CharacteristicNo. (%)
Gender
 Male225 (54.3)
 Female179 (43.2)
 Transgender3 (0.7)
 Not reported7 (1.7)
Age, y, mean (median)48.7 (49.1)
Race
 White180 (43.5)
 Black/African American108 (26.1)
 Multiple races36 (8.7)
 Other9 (2.2)
 Unsure/refused/not reported81 (19.6)
Hispanic
 Yes188 (45.4)
 No210 (50.7)
 Not reported16 (3.9)
Housing status
 Stably housed231 (55.8)
 Unstably housed59 (14.3)
 Unhoused95 (22.9)
 Not reported29 (7.0)
Covered by health insurance (can select multiple)257 (62.1)
 None133 (32.1)
 Private insurance46 (11.1)
 Medicare28 (6.8)
 Medicaid204 (49.3)
 Not reported24 (5.8)
Engagement with the healthcare system
Most recent HIV testing (n = 283)
 Tested within the last 12 mo80 (28.3)
 More than 1 y ago91 (32.2)
 Never tested before26 (9.2)
 Don’t remember87 (30.7)

Abbreviations: HIV, human immunodeficiency virus.

Table 1.

Characteristics of Patients Utilizing Integrated Mobile Opioid Treatment and Infectious Disease Coordinated Care in Your Neighborhood (InMOTION) Services (N = 414)

Patient CharacteristicNo. (%)
Gender
 Male225 (54.3)
 Female179 (43.2)
 Transgender3 (0.7)
 Not reported7 (1.7)
Age, y, mean (median)48.7 (49.1)
Race
 White180 (43.5)
 Black/African American108 (26.1)
 Multiple races36 (8.7)
 Other9 (2.2)
 Unsure/refused/not reported81 (19.6)
Hispanic
 Yes188 (45.4)
 No210 (50.7)
 Not reported16 (3.9)
Housing status
 Stably housed231 (55.8)
 Unstably housed59 (14.3)
 Unhoused95 (22.9)
 Not reported29 (7.0)
Covered by health insurance (can select multiple)257 (62.1)
 None133 (32.1)
 Private insurance46 (11.1)
 Medicare28 (6.8)
 Medicaid204 (49.3)
 Not reported24 (5.8)
Engagement with the healthcare system
Most recent HIV testing (n = 283)
 Tested within the last 12 mo80 (28.3)
 More than 1 y ago91 (32.2)
 Never tested before26 (9.2)
 Don’t remember87 (30.7)
Patient CharacteristicNo. (%)
Gender
 Male225 (54.3)
 Female179 (43.2)
 Transgender3 (0.7)
 Not reported7 (1.7)
Age, y, mean (median)48.7 (49.1)
Race
 White180 (43.5)
 Black/African American108 (26.1)
 Multiple races36 (8.7)
 Other9 (2.2)
 Unsure/refused/not reported81 (19.6)
Hispanic
 Yes188 (45.4)
 No210 (50.7)
 Not reported16 (3.9)
Housing status
 Stably housed231 (55.8)
 Unstably housed59 (14.3)
 Unhoused95 (22.9)
 Not reported29 (7.0)
Covered by health insurance (can select multiple)257 (62.1)
 None133 (32.1)
 Private insurance46 (11.1)
 Medicare28 (6.8)
 Medicaid204 (49.3)
 Not reported24 (5.8)
Engagement with the healthcare system
Most recent HIV testing (n = 283)
 Tested within the last 12 mo80 (28.3)
 More than 1 y ago91 (32.2)
 Never tested before26 (9.2)
 Don’t remember87 (30.7)

Abbreviations: HIV, human immunodeficiency virus.

Of the 414 persons who engaged with the InMOTION team, 4 (1%) had a previous HIV diagnosis, 166 (41%) accepted rapid HIV testing, and 1 (1%) had a new HIV diagnosis. Of these 5 individuals with HIV, all received HIV treatment (ART) from the MPC. Of them, 3 (60%) received injectable cabotegravir and rilpivirine for ART. Of the 161 (97%) who tested negative for HIV, 9 (6%) accepted PrEP, with 1 (11%) who received injectable cabotegravir. Of the 414 persons who engaged with the InMOTION team, 22 (5%) persons had a previous diagnosis of HCV. Additionally, 157 (40%) persons without a previous diagnosis accepted rapid point-of-care HCV antibody testing, and 9 (6%) received new HCV diagnoses. Of the 31 patients with a new or previous diagnosis, 11 underwent HCV confirmatory testing on the same day of HCV antibody testing or the first day of the visit, with 2 (18%) people who self-cleared the infection, while of the 9 of 11 (81%) who had active infection noted by a detectable viral load (VL), 8 of the 9 (89%) were initiated on direct-acting antivirals (DAAs) within an average of 4 days since testing, with a majority (5/8 [63%]) starting same-day treatment. Follow-up showed that 2 (25%) cleared, 1 (13%) did not clear, and 5 (63%) were incarcerated or in 90-day substance use treatment programs. Therefore, their sustained virological response is unconfirmed.

Of the 9 (2%) patients who expressed concern about possible exposure to an STI, all received testing, 33% (n = 3) were prescribed treatment from the mobile pharmacy, and 11% (n = 1) received postexposure STI medication (Doxy-PEP) from the MPC (Table 2). Of the patients who engaged with the InMOTION team, 51 (24%) had a previous diagnosis of OUD, and 163 (45%) were screened for OUD using ROUDA. One (1%) new moderate to severe OUD diagnosis was made. Of the 51 previously diagnosed and the 1 new diagnoses of OUD, 41 (80%) were prescribed a form of MOUD, 31 (76%) were on methadone, 5 (12%) were on the sublingual formulation of buprenorphine, and 1 (2%) was on the injectable formulation of buprenorphine. Of those on MOUD, the person receiving the injectable buprenorphine and 4 of the 5 receiving sublingual buprenorphine were prescribed these medications from the clinician on the MPC. Furthermore, 24 (6%) had a previous diagnosis of AUD, and 147 (38%) of persons who engaged with the MPC accepted screening for AUD, resulting in 6 (4%) new moderate to severe AUD diagnoses. Of the 30 persons with previous or new diagnoses of AUD, 11 (37%) were prescribed a medication from the MPC clinician to treat their AUD and dispensed by the pharmacist from the InMOTION mobile pharmacy; 6 (55%) received oral naltrexone, 3 (27%) received extended-release injectable naltrexone, and 2 (18%) received acamprosate. Additionally, 27 (7%) had a previous diagnosis of StUD, and 175 (45%) accepted screening for StUD. Of those screened, 10 (7%) had a new diagnosis of moderate to severe StUD and were referred for behavioral treatment in the community.

Table 2.

Testing and Treatment of Infectious Diseases or Substance Use Disorders (N = 414)

Biological Testing and Health ScreeningsNo. (%)a
HIV testing
 Previous HIV diagnosis4 (1.0)
 Received rapid HIV testing (n = 410)166 (40.5)
  New HIV diagnosis (n = 166)1 (0.6)
  Received ART treatment from MPC (of those with new or existing HIV diagnosis; n = 5)5 (100.0)
   Injectable ART (n = 5)3 (60.0)
   Received PrEP (n = 409)9 (2.2)
   Injectable PrEP (n = 9)1 (11.1)
Hepatitis C testing
 Previous HCV diagnosis22 (5.3)
 Received rapid HCV testing (n = 392)157 (40.1)
  New HCV diagnosis (n = 157)9 (5.7)
  Underwent HCV viral load testing (n = 31)11 (35.5)
  HCV viral load detectable (n = 11)9 (81.2)
  Self-cleared (n = 11)2 (18.2)
  Received DAA treatment from the MPC (of those with existing HCV or new diagnosis; n = 9)8 (88.9)
Sexually transmitted infections
 Reported exposure to STI9 (2.2)
  Tested for STI (n = 9)9 (100.0)
  Positive STI test (n = 9)3 (33.3)
  Prescribed treatment for STI after testing (n = 3)3 (100.0)
  Received postexposure STI treatment (Doxy-PEP; n = 9)1 (11.1)
Vaccinations
 Persons who received vaccinations on the MPC38 (9.2)
  Influenza vaccine (n = 38)19 (50.0)
  Shingles vaccine20 (52.6)
  Pneumonia vaccine (n = 38)8 (21.1)
  Received vaccination for HBV (n = 38)4 (10.5)
  Received full Heplisav-B series (n = 4)2 (50.0)
  Initiated Twinrix series (n = 4)b2 (100.0)
Opioid use disorder
Previous OUD diagnosis51 (23.8)
 Screened for OUD (n = 363)163 (44.9)
  No history of opioid use (n = 163)158 (96.9)
  New diagnosis for moderate to severe OUD (n = 163)1 (0.6)
  MOUD from other providers (n = 52)37 (71.2)
   Methadone (n = 52)31 (59.6)
   Injectable buprenorphine (n = 52)1 (1.9)
   Sublingual buprenorphine (n = 52)5 (9.6)
  Prescription of sublingual buprenorphine from MPC team (n = 52)4 (7.7)
  Prescription of injectable buprenorphine from MPC team (n = 52)1 (1.9)
Stimulant use disorder
 Previous StUD diagnosis27 (6.5)
 Screened for StUD (n = 387)175 (45.2)
  No history of stimulant use (StUD) (n = 175)152 (86.9)
  New diagnosis for moderate to severe StUD (n = 175)10 (6.6)
Alcohol use disorder
 Previous AUD diagnosis24 (5.8)
 Screened for AUD (n = 390)147 (37.9)
  No history of alcohol use (n = 147)121 (82.3)
  New diagnosis for moderate to severe AUD (n = 147)6 (4.1)
  On mediation for AUD from MPC (n = 30)11 (36.7)
   Oral naltrexone (n = 11)6 (54.5)
   Extended-release naltrexone (n = 11)3 (27.3)
   Acamprosate (n = 11)2 (18.2)
Harm reduction
Overdose education and naloxone distribution35 (8.5)
 OEND via community health worker (n = 35)24 (68.6)
 OEND via prescription from mobile pharmacy (n = 35)11 (31.4)
Referral to syringe service program1 (0.2)
Provided fentanyl strips15 (3.6)
Provided xylazine strips18 (4.3)
Substance use–related wound care6 (1.4)
Biological Testing and Health ScreeningsNo. (%)a
HIV testing
 Previous HIV diagnosis4 (1.0)
 Received rapid HIV testing (n = 410)166 (40.5)
  New HIV diagnosis (n = 166)1 (0.6)
  Received ART treatment from MPC (of those with new or existing HIV diagnosis; n = 5)5 (100.0)
   Injectable ART (n = 5)3 (60.0)
   Received PrEP (n = 409)9 (2.2)
   Injectable PrEP (n = 9)1 (11.1)
Hepatitis C testing
 Previous HCV diagnosis22 (5.3)
 Received rapid HCV testing (n = 392)157 (40.1)
  New HCV diagnosis (n = 157)9 (5.7)
  Underwent HCV viral load testing (n = 31)11 (35.5)
  HCV viral load detectable (n = 11)9 (81.2)
  Self-cleared (n = 11)2 (18.2)
  Received DAA treatment from the MPC (of those with existing HCV or new diagnosis; n = 9)8 (88.9)
Sexually transmitted infections
 Reported exposure to STI9 (2.2)
  Tested for STI (n = 9)9 (100.0)
  Positive STI test (n = 9)3 (33.3)
  Prescribed treatment for STI after testing (n = 3)3 (100.0)
  Received postexposure STI treatment (Doxy-PEP; n = 9)1 (11.1)
Vaccinations
 Persons who received vaccinations on the MPC38 (9.2)
  Influenza vaccine (n = 38)19 (50.0)
  Shingles vaccine20 (52.6)
  Pneumonia vaccine (n = 38)8 (21.1)
  Received vaccination for HBV (n = 38)4 (10.5)
  Received full Heplisav-B series (n = 4)2 (50.0)
  Initiated Twinrix series (n = 4)b2 (100.0)
Opioid use disorder
Previous OUD diagnosis51 (23.8)
 Screened for OUD (n = 363)163 (44.9)
  No history of opioid use (n = 163)158 (96.9)
  New diagnosis for moderate to severe OUD (n = 163)1 (0.6)
  MOUD from other providers (n = 52)37 (71.2)
   Methadone (n = 52)31 (59.6)
   Injectable buprenorphine (n = 52)1 (1.9)
   Sublingual buprenorphine (n = 52)5 (9.6)
  Prescription of sublingual buprenorphine from MPC team (n = 52)4 (7.7)
  Prescription of injectable buprenorphine from MPC team (n = 52)1 (1.9)
Stimulant use disorder
 Previous StUD diagnosis27 (6.5)
 Screened for StUD (n = 387)175 (45.2)
  No history of stimulant use (StUD) (n = 175)152 (86.9)
  New diagnosis for moderate to severe StUD (n = 175)10 (6.6)
Alcohol use disorder
 Previous AUD diagnosis24 (5.8)
 Screened for AUD (n = 390)147 (37.9)
  No history of alcohol use (n = 147)121 (82.3)
  New diagnosis for moderate to severe AUD (n = 147)6 (4.1)
  On mediation for AUD from MPC (n = 30)11 (36.7)
   Oral naltrexone (n = 11)6 (54.5)
   Extended-release naltrexone (n = 11)3 (27.3)
   Acamprosate (n = 11)2 (18.2)
Harm reduction
Overdose education and naloxone distribution35 (8.5)
 OEND via community health worker (n = 35)24 (68.6)
 OEND via prescription from mobile pharmacy (n = 35)11 (31.4)
Referral to syringe service program1 (0.2)
Provided fentanyl strips15 (3.6)
Provided xylazine strips18 (4.3)
Substance use–related wound care6 (1.4)

Abbreviations: ART, antiretroviral therapy; AUD, alcohol use disorder; DAA, direct-acting antiviral; Doxy-PEP, doxycycline postexposure prophylaxis; HBV, hepatitis B virus; HCV, hepatitis C virus; HIV, human immunodeficiency virus; MPC, mobile pharmacy clinic; MOUD, medication for opioid use disorder; OEND, overdose education and naloxone distribution; OUD, opioid use disorder; PrEP, preexposure prophylaxis; STI, sexually transmitted infection; StUD, stimulant use disorder.

aN = 414 unless otherwise indicated.

bTreatment still in progress.

Table 2.

Testing and Treatment of Infectious Diseases or Substance Use Disorders (N = 414)

Biological Testing and Health ScreeningsNo. (%)a
HIV testing
 Previous HIV diagnosis4 (1.0)
 Received rapid HIV testing (n = 410)166 (40.5)
  New HIV diagnosis (n = 166)1 (0.6)
  Received ART treatment from MPC (of those with new or existing HIV diagnosis; n = 5)5 (100.0)
   Injectable ART (n = 5)3 (60.0)
   Received PrEP (n = 409)9 (2.2)
   Injectable PrEP (n = 9)1 (11.1)
Hepatitis C testing
 Previous HCV diagnosis22 (5.3)
 Received rapid HCV testing (n = 392)157 (40.1)
  New HCV diagnosis (n = 157)9 (5.7)
  Underwent HCV viral load testing (n = 31)11 (35.5)
  HCV viral load detectable (n = 11)9 (81.2)
  Self-cleared (n = 11)2 (18.2)
  Received DAA treatment from the MPC (of those with existing HCV or new diagnosis; n = 9)8 (88.9)
Sexually transmitted infections
 Reported exposure to STI9 (2.2)
  Tested for STI (n = 9)9 (100.0)
  Positive STI test (n = 9)3 (33.3)
  Prescribed treatment for STI after testing (n = 3)3 (100.0)
  Received postexposure STI treatment (Doxy-PEP; n = 9)1 (11.1)
Vaccinations
 Persons who received vaccinations on the MPC38 (9.2)
  Influenza vaccine (n = 38)19 (50.0)
  Shingles vaccine20 (52.6)
  Pneumonia vaccine (n = 38)8 (21.1)
  Received vaccination for HBV (n = 38)4 (10.5)
  Received full Heplisav-B series (n = 4)2 (50.0)
  Initiated Twinrix series (n = 4)b2 (100.0)
Opioid use disorder
Previous OUD diagnosis51 (23.8)
 Screened for OUD (n = 363)163 (44.9)
  No history of opioid use (n = 163)158 (96.9)
  New diagnosis for moderate to severe OUD (n = 163)1 (0.6)
  MOUD from other providers (n = 52)37 (71.2)
   Methadone (n = 52)31 (59.6)
   Injectable buprenorphine (n = 52)1 (1.9)
   Sublingual buprenorphine (n = 52)5 (9.6)
  Prescription of sublingual buprenorphine from MPC team (n = 52)4 (7.7)
  Prescription of injectable buprenorphine from MPC team (n = 52)1 (1.9)
Stimulant use disorder
 Previous StUD diagnosis27 (6.5)
 Screened for StUD (n = 387)175 (45.2)
  No history of stimulant use (StUD) (n = 175)152 (86.9)
  New diagnosis for moderate to severe StUD (n = 175)10 (6.6)
Alcohol use disorder
 Previous AUD diagnosis24 (5.8)
 Screened for AUD (n = 390)147 (37.9)
  No history of alcohol use (n = 147)121 (82.3)
  New diagnosis for moderate to severe AUD (n = 147)6 (4.1)
  On mediation for AUD from MPC (n = 30)11 (36.7)
   Oral naltrexone (n = 11)6 (54.5)
   Extended-release naltrexone (n = 11)3 (27.3)
   Acamprosate (n = 11)2 (18.2)
Harm reduction
Overdose education and naloxone distribution35 (8.5)
 OEND via community health worker (n = 35)24 (68.6)
 OEND via prescription from mobile pharmacy (n = 35)11 (31.4)
Referral to syringe service program1 (0.2)
Provided fentanyl strips15 (3.6)
Provided xylazine strips18 (4.3)
Substance use–related wound care6 (1.4)
Biological Testing and Health ScreeningsNo. (%)a
HIV testing
 Previous HIV diagnosis4 (1.0)
 Received rapid HIV testing (n = 410)166 (40.5)
  New HIV diagnosis (n = 166)1 (0.6)
  Received ART treatment from MPC (of those with new or existing HIV diagnosis; n = 5)5 (100.0)
   Injectable ART (n = 5)3 (60.0)
   Received PrEP (n = 409)9 (2.2)
   Injectable PrEP (n = 9)1 (11.1)
Hepatitis C testing
 Previous HCV diagnosis22 (5.3)
 Received rapid HCV testing (n = 392)157 (40.1)
  New HCV diagnosis (n = 157)9 (5.7)
  Underwent HCV viral load testing (n = 31)11 (35.5)
  HCV viral load detectable (n = 11)9 (81.2)
  Self-cleared (n = 11)2 (18.2)
  Received DAA treatment from the MPC (of those with existing HCV or new diagnosis; n = 9)8 (88.9)
Sexually transmitted infections
 Reported exposure to STI9 (2.2)
  Tested for STI (n = 9)9 (100.0)
  Positive STI test (n = 9)3 (33.3)
  Prescribed treatment for STI after testing (n = 3)3 (100.0)
  Received postexposure STI treatment (Doxy-PEP; n = 9)1 (11.1)
Vaccinations
 Persons who received vaccinations on the MPC38 (9.2)
  Influenza vaccine (n = 38)19 (50.0)
  Shingles vaccine20 (52.6)
  Pneumonia vaccine (n = 38)8 (21.1)
  Received vaccination for HBV (n = 38)4 (10.5)
  Received full Heplisav-B series (n = 4)2 (50.0)
  Initiated Twinrix series (n = 4)b2 (100.0)
Opioid use disorder
Previous OUD diagnosis51 (23.8)
 Screened for OUD (n = 363)163 (44.9)
  No history of opioid use (n = 163)158 (96.9)
  New diagnosis for moderate to severe OUD (n = 163)1 (0.6)
  MOUD from other providers (n = 52)37 (71.2)
   Methadone (n = 52)31 (59.6)
   Injectable buprenorphine (n = 52)1 (1.9)
   Sublingual buprenorphine (n = 52)5 (9.6)
  Prescription of sublingual buprenorphine from MPC team (n = 52)4 (7.7)
  Prescription of injectable buprenorphine from MPC team (n = 52)1 (1.9)
Stimulant use disorder
 Previous StUD diagnosis27 (6.5)
 Screened for StUD (n = 387)175 (45.2)
  No history of stimulant use (StUD) (n = 175)152 (86.9)
  New diagnosis for moderate to severe StUD (n = 175)10 (6.6)
Alcohol use disorder
 Previous AUD diagnosis24 (5.8)
 Screened for AUD (n = 390)147 (37.9)
  No history of alcohol use (n = 147)121 (82.3)
  New diagnosis for moderate to severe AUD (n = 147)6 (4.1)
  On mediation for AUD from MPC (n = 30)11 (36.7)
   Oral naltrexone (n = 11)6 (54.5)
   Extended-release naltrexone (n = 11)3 (27.3)
   Acamprosate (n = 11)2 (18.2)
Harm reduction
Overdose education and naloxone distribution35 (8.5)
 OEND via community health worker (n = 35)24 (68.6)
 OEND via prescription from mobile pharmacy (n = 35)11 (31.4)
Referral to syringe service program1 (0.2)
Provided fentanyl strips15 (3.6)
Provided xylazine strips18 (4.3)
Substance use–related wound care6 (1.4)

Abbreviations: ART, antiretroviral therapy; AUD, alcohol use disorder; DAA, direct-acting antiviral; Doxy-PEP, doxycycline postexposure prophylaxis; HBV, hepatitis B virus; HCV, hepatitis C virus; HIV, human immunodeficiency virus; MPC, mobile pharmacy clinic; MOUD, medication for opioid use disorder; OEND, overdose education and naloxone distribution; OUD, opioid use disorder; PrEP, preexposure prophylaxis; STI, sexually transmitted infection; StUD, stimulant use disorder.

aN = 414 unless otherwise indicated.

bTreatment still in progress.

Additional services for PWUD that were utilized included wound care, referral for SSP services, fentanyl test strips, xylazine test strips, overdose education, and naloxone distribution. A total of 35 people accepted and received overdose education and naloxone distribution, of which 24 patients received 31 boxes of naloxone from the CHWs, and 11 people received 13 boxes of naloxone from the MPC pharmacy as a prescription. Additionally, 15 people were provided fentanyl test strips, and 18 people received xylazine test strips.

DISCUSSION

The InMOTION mobile pharmacy clinic is the United States’ first legal MPC that integrates on-site pharmacy services with clinical care to people where they live. These pilot findings demonstrate the potential of a fully integrated healthcare model to address the intersection of SUD, infectious diseases, and social determinants of health in a single mobile platform that goes to communities with a high need for harm reduction services. The MPC successfully engaged a diverse population often underserved by traditional healthcare systems. The MPC team was able to reach people who were unhoused or unstably housed, uninsured, and with diverse gender, ethnic, and racial backgrounds. In this model, individuals engage with the CHWs in the community who offer screenings for HIV, HCV, STIs, and SUDs, as well as active linkage to social services. Individuals were also provided harm reduction tools, including overdose education and naloxone, as well as fentanyl and xylazine test strips. Individuals were offered clinical care on the MPC for medical exams and a full pharmacy to receive prescriptions on the same day. This model of care offers the opportunity to reduce barriers on an individual level and fill gaps at a community level.

While acceptance of infectious disease and substance use–related screenings were high, with approximately 40% screened for HIV and HCV, 45% for OUD, 28% for AUD, and 45% for StUD, the InMOTION MPC identified a modest number of diagnoses for HIV (n = 5 [1.2%]), STIs (n = 9 [2.2%]), and HCV (n = 29 [7.0%]) during its 11-month pilot. Nonetheless, the ongoing prevalence of these infections signals continuous opportunities for testing, diagnosis, treatment, and prevention. For example, in the US in 2022, the prevalence rate in the US of HIV infection was 0.3% [31], the HCV prevalence was 0.9% [32], and the prevalence of STIs was about 0.7%, consisting of 2.5 million infections of chlamydia, gonorrhea, and syphilis [33]. In addition to being able to reach and engage with this population, the MPC provides whole-person care, treating conditions with the latest medical guidelines in a timely fashion. Additionally, the MPC provides guideline-recommended concurrent HIV and STI [34] prevention and treatment, identifies individuals who might have otherwise remained undiagnosed, and provides immediate treatment, decreasing the likelihood of transmission and preventing complications. With an on-site pharmacy, the MPC pharmacist and clinician collaborate to provide immediate access to novel therapies that patients may not be aware of or have timely access to. For example, 1 patient was able to start Doxy-PEP in July, a month after the new medication recommendation was issued by the Centers for Disease Control and Prevention to be taken within 3 days (or 72 hours) after sex to help reduce the chances of acquiring syphilis, chlamydia, and gonorrhea [35].

This MPC model of care is not only able to engage, identify, and test individuals with high rates of infectious diseases and substance use, but the data from this pilot show that the MPC team can also increase treatment rates. For example, among individuals with HCV, those who engage with the MPC are more likely to initiate treatment. The data from this pilot show that 89% of persons with detectable HCV VL initiated DAA treatment, compared to the national average of 23% among persons with Medicaid insurance [36]. Furthermore, a 100% HIV treatment rate among a modest sample of those with HIV who engage with the MPC team has the potential to contribute to the Healthy People 2030 goal to get 95% of people with HIV on treatment to have an undetectable VL to reduce HIV transmission as part of the End HIV Epidemic goal [37], by initiating persons with HIV onto ART on the same day and providing injectable formulations of ART. Additionally, this model addresses the limitations of traditional pharmacy settings in providing HIV care. For example, retail pharmacists providing HIV care have identified that achieving sustained viral suppression requires more than just providing ART. Achieving and maintaining viral suppression among people with HIV also requires addressing social needs like food insecurity, homelessness, and other social determinants of health that traditional retail pharmacies are unable to address independently [38, 39]. CHWs within the model are key in overcoming these barriers and linking patients to resources to address their unmet needs. Future research should explore collaborative care models that integrate pharmacists into mobile teams and assess their long-term sustainability and scalability in improving medication access to care for underserved populations.

This study has several limitations. First, the study lacks a control group, which limits the ability to compare the outcomes of the MPC model to other care models. Second, the study was conducted across 3 communities in Connecticut, which may limit the generalizability of the findings to other regions or populations. Finally, the study's relatively short duration restricts the ability to assess the long-term sustainability and effectiveness of the MPC model.

CONCLUSIONS

These are the early preliminary results of implementing the first legalized MPC in the US specifically created to help overcome barriers to help PWUD. We have identified that in the first 11 months of this program, it is viable to provide a 1-stop shop provision of healthcare and pharmacy services and that persons are accepting of HIV, HCV, and other infectious diseases testing, prevention, and treatment services along with SUD and harm reduction services. Health services through an MPC should be expanded to meet gaps in healthcare for PWUD.

Notes

Author contributions. S. A. S. received the funding; is the project's principal investigator; and contributed to the manuscript's conceptualization, design, development, and editing. A. T., C. A. F., A. D., A. M. S., and S. V. S. contributed to the design and implementation of the project, as well as the writing and editing of this manuscript. R. B. led the data management team and conducted the data analysis.

Acknowledgments. We would like to acknowledge and thank our community partners for their assistance throughout the development, implementation, and maintenance of this project. We also thank the participants in the needs assessment for their help with this project when it was in its early development. We want to thank all of the patients who have trusted us with their care.

Data availability. Data are not publicly available.

Disclaimer. The funder was not involved in the research design, analysis, or interpretation of the data or the decision to publish the manuscript.

Financial support. This work was supported by the National Institute on Drug Abuse (grant number DP1DA056106 to S. A. S.).

Potential conflicts of interest. S. A. S. has received honoraria for scientific consultation from Alkermes Inc and in-kind study drug donations for National Institutes of Health–sponsored research from Alkermes Inc and Indivior PLC. All other authors report no potential conflicts.

References

1

Feelemyer
 
JP
,
Richard
 
E
,
Khan
 
MR
, et al.  
Does the association between stimulant use and high risk sexual behavior vary by injection drug use, sexual minority status, or HIV infection status? A meta-analysis
.
AIDS Behav
 
2023
;
27
:
2883
90
.

2

Duko
 
B
,
Ayalew
 
M
,
Ayano
 
G
.
The prevalence of alcohol use disorders among people living with HIV/AIDS: a systematic review and meta-analysis
.
Subst Abuse Treat Prev Policy
 
2019
;
14
:
52
.

3

Castry
 
M
,
Tin
 
Y
,
Feder
 
NM
, et al.  
An economic analysis of the cost of mobile units for harm reduction, naloxone distribution, and medications for opioid use disorder
.
J Subst Use Addict Treat
 
2024
;
167
:
209517
.

4

Strathdee
 
SA
,
Bristow
 
CC
,
Gaines
 
T
,
Shoptaw
 
S
.
Collateral damage: a narrative review on epidemics of substance use disorders and their relationships to sexually transmitted infections in the United States
.
Sex Transm Dis
 
2021
;
48
:
466
73
.

5

Schranz
 
A
,
Barocas
 
JA
.
Infective endocarditis in persons who use drugs: epidemiology, current management, and emerging treatments
.
Infect Dis Clin North Am
 
2020
;
34
:
479
93
.

6

Rehman
 
S
,
Arif
 
S
,
Ushakumari
 
LG
, et al.  
Assessment of bacterial infections and antibiotic regimens in intravenous drug users
.
Cureus
 
2023
;
15
:
e45716
.

7

Price
 
CN
,
Solomon
 
DA
,
Johnson
 
JA
,
Montgomery
 
MW
,
Martin
 
B
,
Suzuki
 
J
.
Feasibility and safety of outpatient parenteral antimicrobial therapy in conjunction with addiction treatment for people who inject drugs
.
J Infect Dis
 
2020
;
222
(
Suppl 5
):
S494
8
.

8

Miller
 
AC
,
Polgreen
 
PM
.
Many opportunities to record, diagnose, or treat injection drug–related infections are missed: a population-based cohort study of inpatient and emergency department settings
.
Clin Infect Dis
 
2019
;
68
:
1166
75
.

9

Furukawa
 
NW
,
Blau
 
EF
,
Reau
 
Z
, et al.  
Missed opportunities for human immunodeficiency virus (HIV) testing during injection drug use–related healthcare encounters among a cohort of persons who inject drugs with HIV diagnosed during an outbreak—Cincinnati/northern Kentucky, 2017–2018
.
Clin Infect Dis
 
2021
;
72
:
1961
7
.

10

Springer
 
SA
.
Ending the HIV epidemic for persons who use drugs: the practical challenges of meeting people where they are
.
J Gen Intern Med
 
2023
;
38
:
2816
8
.

11

Hill
 
K
,
Kuo
 
I
,
Shenoi
 
SV
,
Desruisseaux
 
MS
,
Springer
 
SA
.
Integrated care models: HIV and substance use
.
Curr HIV/AIDS Rep
 
2023
;
20
:
286
95
.

12

Yu
 
SWY
,
Hill
 
C
,
Ricks
 
ML
,
Bennet
 
J
,
Oriol
 
NE
.
The scope and impact of mobile health clinics in the United States: a literature review
.
Int J Equity Health
 
2017
;
16
:
178
.

13

Grieb
 
SM
,
Harris
 
R
,
Rosecrans
 
A
, et al.  
Awareness, perception and utilization of a mobile health clinic by people who use drugs
.
Ann Med
 
2022
;
54
:
138
49
.

14

Springer
 
SA
.
Serious opioid injection–related infection and initiation of medication for opioid use disorder
.
JAMA Netw Open
 
2024
;
7
:
e2421640
.

15

Muncan
 
B
,
Walters
 
SM
,
Ezell
 
J
,
Ompad
 
DC
.
“They look at us like junkies”: influences of drug use stigma on the healthcare engagement of people who inject drugs in New York City
.
Harm Reduct J
 
2020
;
17
:
53
.

16

Gandhi
 
RT
,
Landovitz
 
RJ
,
Sax
 
PE
, et al.  
Antiretroviral drugs for treatment and prevention of HIV in adults: 2024 recommendations of the International Antiviral Society–USA panel
.
JAMA
 
2025
;
333
:
609
28
.

17

Kazerouni
 
NJ
,
Irwin
 
AN
,
Levander
 
XA
, et al.  
Pharmacy-related buprenorphine access barriers: an audit of pharmacies in counties with a high opioid overdose burden
.
Drug Alcohol Depend
 
2021
;
224
:
108729
.

18

Hill
 
LG
,
Loera
 
LJ
,
Torrez
 
SB
, et al.  
Availability of buprenorphine/naloxone films and naloxone nasal spray in community pharmacies in 11 US states
.
Drug Alcohol Depend
 
2022
;
237
:
109518
.

19

Gionfriddo
 
MR
,
Owens
 
KM
,
Leist
 
SE
,
Schrum
 
LT
,
Covvey
 
JR
.
Attitudes, beliefs, knowledge, and practices for over-the-counter syringe sales in community pharmacies: a systematic review
.
J Am Pharm Assoc (2003)
 
2023
;
63
:
1472
89.e3
.

20

Herron
 
G
,
Leong
 
A
,
Patel
 
K
,
Rasekhi
 
K
,
Apollonio
 
DE
.
Assessment of PrEP and PEP furnishing in San Francisco Bay Area pharmacies: an observational cross-sectional study
.
J Am Pharm Assoc (2003)
 
2024
;
64
:
102201
.

21

Tarfa
 
A
,
Lier
 
AJ
,
Shenoi
 
SV
,
Springer
 
SA
.
Considerations when prescribing opioid agonist therapies for people living with HIV
.
Expert Rev Clin Pharmacol
 
2024
;
17
:
549
64
.

22

Yale School of Medicine
.
YM and YNHHS introduce nation's first mobile retail pharmacy and clinic
.
2024
. Available at: https://medicine.yale.edu/news-article/ym-and-ynhhs-introduce-connecticuts-first-mobile-retail-pharmacy-and-clinic/. Accessed 3 April 2025.

23

Connecticut General Assembly
. Raised Bill No. 133: an act concerning regulation of prescription drugs and related professions. 2023. Available at: https://www.cga.ct.gov/2023/act/pa/pdf/2023PA-00019-R00SB-01102-PA.pdf.

24

Lambdin
 
BH
,
Kan
 
D
,
Kral
 
AH
.
Improving equity and access to buprenorphine treatment through telemedicine at syringe services programs
.
Subst Abuse Treat Prev Policy
 
2022
;
17
:
51
.

25

RStudio Team
.
RStudio: integrated development environment for R
.
Boston, MA
:
RStudio Team
,
2020
. Available at: http://www.rstudio.com/.

26

Neuman
 
M
,
Mwinga
 
A
,
Kapaku
 
K
, et al.  
Sensitivity and specificity of OraQuick HIV self-test compared to a 4th generation laboratory reference standard algorithm in urban and rural Zambia
.
BMC Infect Dis
 
2022
;
22
(
Suppl 1
):
494
.

27

Gao
 
F
,
Talbot
 
EA
,
Loring
 
CH
, et al.  
Performance of the OraQuick HCV rapid antibody test for screening exposed patients in a hepatitis C outbreak investigation
.
J Clin Microbiol
 
2014
;
52
:
2650
2
.

28

Di Paola
 
A
,
Farabee
 
D
,
Springer
 
SA
.
Validation of two diagnostic assessments for opioid and stimulant use disorder for use by non-clinicians
.
Psychiatr Res Clin Pract
 
2023
;
5
:
78
83
.

29

Saunders
 
JB
,
Aasland
 
OG
,
Babor
 
TF
,
de la Fuente
 
JR
,
Grant
 
M.
 
Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption–II
.
Addiction
 
1993
;
88
:
791
804
.

30

Harris
 
PA
,
Taylor
 
R
,
Thielke
 
R
,
Payne
 
J
,
Gonzalez
 
N
,
Conde
 
JG
.
Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support
.
J Biomed Inform
 
2009
;
42
:
377
81
.

31

Centers for Disease Control and Prevention (CDC)
.
Diagnoses, deaths, and prevalence of HIV in the United States and 6 territories and freely associated states, 2022
.
HIV surveillance report
.
Atlanta, GA: CDC,
2024
:
35
.

32

Lewis
 
KC
,
Barker
 
LK
,
Jiles
 
RB
,
Gupta
 
N
.
Estimated prevalence and awareness of hepatitis C virus infection among US adults: National Health and Nutrition Examination Survey, January 2017–March 2020
.
Clin Infect Dis
 
2023
;
77
:
1413
5
.

33

Centers for Disease Control
.
Sexually Transmitted Infections Surveillance Report
.
Atlanta, GA
:
Centers For Disease Control and Prevention (CDC)
,
2022
. Available at: https://www.cdc.gov/stistatistics/media/pdfs/2024/11/2022-STI-Surveillance-Report-pdf.

34

Workowski
 
KA
,
Bachmann
 
LH
,
Chan
 
PA
, et al.  
Sexually transmitted infections treatment guidelines, 2021
.
MMWR Recomm Rep
 
2021
;
70
:
1
187
.

35

Bachmann
 
LH
.
CDC clinical guidelines on the use of doxycycline postexposure prophylaxis for bacterial sexually transmitted infection prevention, United States, 2024
.
MMWR Recomm Rep
 
2024
;
73
:
1
8
.

36

Thompson
 
WW
.
Vital signs: hepatitis C treatment among insured adults—United States, 2019–2020
.
MMWR Morb Mortal Wkly Rep
 
2022
;
71
:
1011
7
.

37

Fauci
 
AS
,
Redfield
 
RR
,
Sigounas
 
G
,
Weahkee
 
MD
,
Giroir
 
BP
.
Ending the HIV epidemic: a plan for the United States
.
JAMA
 
2019
;
321
:
844
5
.

38

Tarfa
 
A
,
Pecanac
 
K
,
Shiyanbola
 
O
.
Patients, social workers, and pharmacists’ perceptions of barriers to providing HIV care in community pharmacies in the United States
.
Pharmacy (Basel)
 
2021
;
9
:
178
.

39

Tarfa
 
A
,
Pecanac
 
K
,
Shiyanbola
 
OO
.
A qualitative inquiry into the patient-related barriers to linkage and retention in HIV care within the community setting
.
Explor Res Clin Soc Pharm
 
2023
;
9
:
100207
.

This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact [email protected] for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact [email protected].

Comments

0 Comments
Submit a comment
You have entered an invalid code
Thank you for submitting a comment on this article. Your comment will be reviewed and published at the journal's discretion. Please check for further notifications by email.