Access Points Research Articles

PrEP in the key population community: a qualitative study of perspectives on pre-exposure prophylaxis by men who have sex with men and female sex workers in Kigali, Rwanda.

Men who have sex with men (MSM) and female sex workers (FSW) are increasingly and disproportionately impacted by HIV in sub-Saharan Africa, yet current PrEP care models in this region are not optimized for these communities. Limited data exist describing experiences and preferences of MSM and FSW with respect to accessing and using PrEP. We conducted qualitative, semi-structured interviews with MSM and FSW recruited from three health centers and seven community organizations in Kigali, Rwanda. Data were analyzed using a mixed deductive and inductive approach to describe key themes related to initiating and adhering to PrEP. Participants included 18 MSM and 14 FSW; 12 were using PrEP at the time of interview, 9 had previously used PrEP, and 11 had never used it. Participants highlighted the central role of their social networks as key sources of information about and support for PrEP use, and described a strong motivation to use PrEP as a way to protect both themselves and their communities from HIV. While stigma and discrimination were pervasive, these were experienced differently by MSM and FSW. Participants suggested community access points that allowed more discreet and less frequent contact with health care workers as important and desired strategies to improve engagement. These findings suggest that leveraging community resources for disseminating information about HIV prevention and delivering PrEP could contribute to successful implementation of PrEP for MSM and FSW in Rwanda and other settings in SSA.

Efficient resource allocation using whale optimization for cell-free massive MIMO networks in 6G HetNet

The increase in data rate demands has driven the development of Cell-Free massive Multiple-Input Multiple-Output (CFmMIMO) technology in 6G Heterogeneous Networks (HetNets). This paper proposes an integration of Unmanned Aerial Vehicles (UAVs) and Device-to-Device (D2D) communication in CFmMIMO, aiming to enhance network capacity, coverage, and service delivery in next-generation wireless networks. The paper investigates uplink transmission in a network where Access Points (APs) have imperfect channel state information. It considers Cell-free User Equipment (CUE), UAVs, and D2D pairs, deriving closed-form uplink achievable rates for each user type. Moreover, two optimization problems are formulated to enhance user data rates: one focuses on maximizing the sum data rate through pilot assignment, while the other aims to achieve weighted max–min power control through power allocation. Furthermore, to address these problem, we propose a Modified Whale Optimization Algorithm (MWOA) and a novel Pilot Assignment based on Whale Optimization Algorithm (PAWOA). Performance studies demonstrate significant improvements over state-of-the-art algorithms.

Perceptions of multi-cancer early detection tests among communities facing barriers to health care.

Marginalized racial and ethnic groups and rural and lower income communities experience significant cancer inequities. Blood-based multi-cancer early detection tests (MCEDs) provide a simple and less invasive method to screen for multiple cancers at a single access point and may be an important strategy to reduce cancer inequities. In this qualitative study, we explored barriers and facilitators to MCED adoption among communities facing health care access barriers in Alaska, California, and Oregon. We used reflexive thematic analysis to analyze general barriers to cancer screening, MCED-specific barriers, facilitators of MCED adoption, and MCED communication strategies. We found barriers and facilitators to MCED adoption across 4 levels of the social-ecological model: (1) individual, (2) interpersonal, (3) health care system, and (4) societal. These included adverse psychological impacts, positive perceptions of MCEDs, information and knowledge about cancer screening, the quality of the patient-provider relationship, a lack of health care system trustworthiness, logistical accessibility, patient supports, and financial accessibility. Optimal MCED communication strategies included information spread through the medical environment and the community. These findings underscore the importance of understanding and addressing the multilevel factors that may influence MCED adoption among communities facing health care access barriers to advance health equity.

A distributed and cooperative signature-based intrusion detection system framework for multi-channel man-in-the-middle attacks against protected Wi-Fi networks

A Multi-Channel Man-in-the-Middle (MC-MitM) attack is an advanced form of MitM attack, characterized by its ability to manipulate encrypted wireless communications between the Access Point (AP) and clients within a WiFi network. MC-MitM attacks can target any Wi-Fi client, regardless of the authentication method used with the AP. Notable examples of such attacks include Key Reinstallation Attacks and FragAttacks, which have impacted millions of WiFi systems worldwide, especially those involving Internet of Things devices. Current defense mechanisms are inadequate against these attacks due to interoperability challenges and the need for modifications to devices or protocols within the targeted Wi-Fi networks. This paper introduces a distributed and cooperative signature-based wireless intrusion detection mechanism designed for online passive monitoring to detect malicious traffic patterns during MC-MitM attacks in any environment, from apartments and houses to large areas like hotels, offices or industrial sites. We implemented the proposed framework on Raspberry Pis and evaluated it in real-world settings. Our evaluation demonstrates that this framework can effectively identify MC-MitM attacks with an average accuracy of 98% when deployed across different locations within our experimental testbed.

Undergraduates’ experiences with library portal services: perceptions of usefulness and satisfaction

PurposeThe purpose of this study is to evaluate the perceived usefulness and satisfaction levels of undergraduate students with respect to university library portal services, specifically within selected universities in South-West Nigeria.Design/methodology/approachA descriptive survey research design was used to investigate the perceived usefulness and satisfaction levels among undergraduate students regarding university library portal services. Data were collected through surveys administered to 658 undergraduate respondents across multiple universities in South-West Nigeria.FindingsThe findings indicate that undergraduate students’ top reasons for using the portal were for tasks such as locating research materials, accessing databases, requesting bibliographies and checking the library catalog. Library computers and school information and communication technology center computers were identified as the most preferred access point, followed by computer labs and campus Wi-Fi networks. Undergraduates rated the portals as highly useful, particularly for saving time locating resources, checking material status and patronizing the library. High satisfaction was reported for services such as attending workshops, events and receiving research support through the portals workshops. Moderate satisfaction levels existed for accessing policies/hours, the institutional repository and renewals of books online. A strong positive correlation (r = 0.785, p < 0.05) was found between perceived usefulness and satisfaction.Originality/valueThis study contributes to the understanding of undergraduate students’ perceptions regarding the utility and satisfaction of university library portal services in the context of South-West Nigeria. It underscores the importance of aligning portal services with students’ academic and research needs to enhance overall satisfaction levels. In addition, it provides insights into areas where improvements can be made to further enhance the effectiveness and satisfaction derived from these services.

Optimalisasi Penentuan Posisi Access Point Untuk Meminimalisir Area Blankspot Pada Pantai Panrangluhu

This research aims to determine the optimal position of Access Point to reduce blankspot area in Panrangluhu Beach. The research methodology involves several main steps: (1) Research planning is done by collecting important data such as beach plan, Access Point height, location coordinates, distance between points, and RSSI (Received Signal Strength Indicator) value; (2) Access Point and receiver position coordinates are determined in an outdoor environment; (3) RSSI value data received by the receiver is collected using WiFi Signal Meter software. To ensure even network coverage, network quality testing was conducted in the eight cardinal directions at each hotspot point. The results showed that four hotspot points were needed to achieve optimal network coverage throughout the beach area. With this strategic placement, it is expected that there are no areas that are not covered by the network, so that visitors to Panrangluhu Beach can enjoy stable and evenly distributed internet access throughout the beach.

A Novel Suture-Based Vascular Closure Device to Achieve Hemostasis after Venous or Arterial Access While Leaving Nothing behind: A Review of the Technological Assessment and Early Clinical Outcomes.

Vascular hemostasis after venous and arterial access in cardiovascular procedures remains a challenge. As sheath size gets larger for structural heart and vascular procedures, no dedicated closure devices exist that can overcome all the challenges of achieving vascular hemostasis, in particular on the venous side. Efficiently and reliably ensuring hemostasis at the access point is crucial for enhancing the safety of a procedure. Historically, hemostasis relied on manually compressing venous access sites. However, the shift towards larger sheaths and the more frequent use of continuous anticoagulation has strained this approach. Achieving hemostasis solely through compression in these scenarios demands heightened vigilance and prolonged application, resulting in increased patient discomfort and extended immobility. Consequently, manual compression may consume more time for healthcare providers and contribute to bed occupancy in hospitals. This review article summarizes the development of the SiteSeal® Vascular Closure Device, a novel leave-nothing-behind approach to achieve hemostasis. The introduction of this technology has provided clinicians with a safer and more effective way to achieve immediate hemostasis, facilitate early ambulation, and enable earlier discharges with fewer access site complications compared with traditional manual compression.

User-Centric Cell-Free Massive MIMO with Low-Resolution ADCs for Massive Access.

This paper proposes a heuristic association algorithm between access points (APs) and user equipment (UE) in user-centric cell-free massive multiple-input-multiple-output (MIMO) systems, specifically targeting scenarios where UEs share the same frequency and time resources. The proposed algorithm prevents overserving APs and ensures the connectivity of all UEs, even when the number of UEs is significantly greater than the number of APs. Additionally, we assume the use of low-resolution analog-to-digital converters (ADCs) to reduce fronthaul capacity. While realistic massive access scenarios, such as those in Internet-of-Things (IoT) environments, often involve hundreds or thousands of UEs per AP using multiple access techniques to allocate different frequency and time resources, our study focuses on scenarios where UEs within each AP cluster share the same frequency and time resources to highlight the impact of pilot contamination in dense network environments. The proposed algorithm is validated through simulations, confirming that it guarantees the connection of all UEs and prevents overserving APs. Furthermore, we analyze the required fronthaul capacity based on quantization bits and confirm that the proposed algorithm outperforms existing algorithms in terms of SE and average SE performance for UEs.

African Socialism and Secular State Formation

Abstract In order to trace pathways of secularisation and secularity in Africa this paper highlights a particular movement that carried great ideological weight at the time of most countries’ independence in the 1950s and 60s, namely African socialism. The development toward state secularism was structurally very similar throughout the continent independently of whether political leaders opted for the ‘West’ or the ‘East’ in the cold war. However, in opposition to Soviet ideology, African Socialism was famously antiatheist. With the wish to fend off Marxist atheism as a supposedly necessary aspect of socialism, ideologues in African socialism were among the few politicians in Africa even to address the place of religion in a secular state at all. The roots of African socialism can be traced to US-American Pan-Africanism as well as the interconnected colonial opposition movement grounded in Marxist anti-imperialism. Another argument focusses on the education of some prominent state leaders, such as Nyerere, Nkrumah, Touré and Senghor, to explain the importance of Christian mission schools and Islamic madrasahs as points of access to social, intellectual, and institutional participation in global anti-colonial movements. In the framework of one-party politics, state leaders called on (Pan-)African traditions, but ‘de-mystified’ them (Touré) in order to enhance African Socialism ‘as belief’ (Nyerere). In conclusion it is argued that state secularism in Africa at the time of independence, as demonstrated most visibly in African Socialism, is more about suppressing and/or balancing the traditional powers of religious leaders than about a fundamental critique of a religious way of life. In turn, the implicit association of socialism and Marxism with atheism needs further scrutiny in a global perspective.

Patterns and Outcomes of Opioid Use Before and After Hospitalization for Critical Illness: A Population-Based Cohort Study.

Background: Hospitalization represents a major access point for prescription opioids, yet little is known regarding patterns and outcomes of opioid exposures before and after hospitalization for critical illness. Methods: This is an observational, population-based cohort study of adults (≥18 years) hospitalized for critical illness from 2010 to 2019. Multivariable models assess associations between opioid exposures prior to hospitalization, classified according to the Consortium to Study Opioid Risks and Trends, and posthospitalization opioid exposures and clinical outcomes through 1-year posthospitalization. Results: Of 11 496 patients, 6318 (55%) were men with a median age of 66 (51, 79) years and 40% (n = 4623) surgical admissions. Prehospitalization opioid availability included 8449 (73%) none, 2117 (18%) short-term, 471 (4%) episodic, and 459 (4%) long-term. Thirty-nine percent (4144/10 708) of hospital survivors were discharged with opioids, with higher prescribing rates for surgical admissions (55%). Greater preadmission opioid exposures were associated with higher prevalent opioid availability at 1 year (odds ratio [95% confidence interval] 24.1 [18.3-31.8], 9.42 [7.18-12.3], and 2.55 [2.08-3.12] for long-term, episodic, and short-term exposures, respectively, vs none, P < .001). Greater preadmission opioid exposures were associated with longer hospitalizations (1.13 [1.04-1.23], 1.15 [1.06-1.25], and 1.08 [1.04-1.13] multiplicative increase in geometric mean, P < .001), more readmissions (hazard ratio [HR] 2.08 [1.74-2.49], 1.88 [1.56-2.26], and 1.48 [1.33-1.64], P < .001), and higher 1-year mortality (HR 1.59 [1.28-1.98], 1.75 [1.41-2.18], and 1.49 [1.32-1.69], P < .001). Similar associations were observed across surgical and nonsurgical admissions. Conclusions: Prehospitalization opioid exposures in survivors of critical illness are associated with clinical outcomes through 1 year and may serve as important prognostic markers.

Technical Aspects of Exclusive Transfemoral Route for Total Endovascular Arch Repair: A Custom-Made Device With Only Upward-Facing Inner Branches for Aortic Arch Treatment.

The purpose was to demonstrate a new arch endograft configuration to allow total endovascular aortic arch repair exclusive from transfemoral approach. The custom-made multi-branched arch endograft (Cook Medical, Bloomington, Indiana) features 3 inner branches (IBs) for supra-aortic vessels incorporation and complete endovascular arch repair. Traditionally, the innominate and left carotid branches are anterograde IBs, requiring upper access for incorporation of these vessels, and the left subclavian branch is an upward-facing IB that can be incorporated from transfemoral access. We report a novel device configuration with only upward-facing IBs, allowing exclusive transfemoral route for total endovascular arch repair. Technical aspects, implantation technique, and limitations are described thoroughly. Herein is described an arch endograft configuration that simplifies endovascular aortic arch repair, allowing supra-aortic vessel incorporation through a transfemoral route only. This innovative design may serve as another alternative in selected patients. This innovative endograft design, with only upward-facing inner branches, simplifies the total endovascular aortic arch repair by allowing for a exclusively transfemoral approach. This may reduce procedural complexity and minimizes risks associated with multiple access points. It provides another alternative, particularly beneficial for selected high-risk patients for open repair, potentially expanding the applicability of endovascular treatments for aortic arch pathologies.

Bleach: From WiFi probe-request signatures to MAC association

Smartphones or similar WiFi-enabled devices regularly discover nearby access points by broadcasting management frames known as probe-requests. Probe-request frames relay, as information, the MAC addresses of sending devices, which act as the device identifiers. To protect the user’s privacy and location, probe-requests use a randomized MAC address generated according to the MAC address randomization protocol. Unfortunately, MAC randomization greatly limits any studies on trajectory inference, flow estimation, crowd counting, etc. To overcome this limitation while respecting users’ privacy, we propose Bleach, a novel, efficient, and comprehensive approach allowing randomized MAC addresses to device association from probe-requests. Bleach models the frame association as a resolution of MAC conflicts in small time intervals. We use time and frame content-based signatures to resolve and associate MACs inside a conflict. We propose a novel MAC association algorithm involving logistic regression using signatures and our introduced time metric. To the best of our knowledge, this is the first work that formulates the probe-request association problem as a generic resolution of conflicts and benchmarks the association concerning several datasets. Our results show that Bleach outperforms the state-of-the-art schemes in terms of accuracy (as high as 99%) and robustness to a wide range of input probe-request datasets.

Supporting Differentiated Streaming Services in Heterogeneous Vehicle-to-Everything Networks.

Advancements in assisted driving technologies are expected to enable future passengers to use a wide range of multimedia applications in electric vehicles (EVs). To address the bandwidth demands for high-resolution and immersive videos during peak traffic, this study introduces a bandwidth-management algorithm to support differentiated streaming services in heterogeneous vehicle-to-everything (V2X) networks. By leveraging cellular 6G base stations, along with Cell-Free (CF) Massive Multi-Input Multi-Output (mMIMO) Wi-Fi 7 access points, the algorithm aims to provide a high-coverage, high-speed, and low-interference V2X network environment. Additionally, Li-Fi technology is employed to supply extra bandwidth to vehicles with limited connectivity via V2V communication. Importantly, the study addresses the urgency and prioritization of different applications to ensure the smooth execution of emergency applications and introduces a pre-downloading mechanism specifically for non-real-time applications. Through simulations, the algorithm's effectiveness in meeting EV users' bandwidth needs for various multimedia streaming applications is demonstrated. During peak-bandwidth-demand periods, users experienced an average increase in bandwidth of 47%. Furthermore, bandwidth utilization across the V2X landscape is significantly improved.

Generative Artificial Intelligence Using Machine Learning on Wireless Ad Hoc Networks

In this article, we discuss the use of Generative Artificial Intelligence (GenAI) to improve the efficiency and performance of access to wireless points located in various spaces and specific places, which allows interaction with wireless mesh networks and enables the use of mobile devices to access all types of information in internal environments. Furthermore, we propose the use of generative neural networks, which are one of the pillars of GenAI, since they use a methodology from the perspective of Machine Learning that allows analysis of a large amount of data and detection of certain types of patterns that help in the better placement of access points for improved reception and connectivity. Images (heat maps), access point locations, positioning points, and bandwidth are analyzed, allowing new information to be created. On the other hand, to understand and model the general architecture of the wireless Ad-Hoc network, we use two processes that are part of neural networks, such as Multilayer Perceptron (MLP), and the Radial Basis Function (RBF), which is a function of predictors or independent variables or input variables that allows the prediction error in the output variables of the wireless network architecture to be reduced. Using these two processes does help reduce blind spots in those internal places where the wireless signal does not reach, resulting in a signal drop. Improving internal scenarios with wireless Ad-Hoc networks is what is required for better functioning and performance of the network infrastructure.

A Novel Adaptive Random Access Window (RAW) Slot Adjustment Model for IoT Network Using an Integrated Scheme

The RAW (Restricted Access Window) component of the IoT network is deployed to reduce traffic and channel contention in dense and heterogeneous sensor network environment. It divides sensor nodes into groups and slots, allowing channel access only to one RAW slot at a time. Several algorithms and improved channel utilization optimization models have been proposed to optimize the RAW parameters, to ensure a contention free network or at least, minimally reduce it. These techniques often rely on previous traffic demands schedules, collision analysis and send/receive matrices to accurately predict the future of stations’ interactions in an IoT environment. Thus systematically adjusting its operations to reduce contention among the stations and the Access Point(AP), thereby ensuring a flexible transmission even in a dense network environment. This paper critically investigated, analysed and proposed a novel approach to RAW size adjustment. The new approach will invoke data mining instruments and optimisation algorithms to improve performance of stations in an IoT environment and thereafter simulated (with respect to some specified QoS parameters) to ascertain it’s (output) performance index with the already existing models

Evaluación del rol del equipo de coordinación de nefrología en la consulta externa específica de acceso vascular. ¿Qué podemos aportar de nuevo?

Background and objectivesThe key points of a monographic vascular access (VA) consultation are an adequate preoperative assessment, as well as a correct management and optimization of waiting lists. Our main objective of present study was to evaluate the degree of exploratory-dependent concordance in outpatient clinics regarding implanted VA, between nephrology and vascular surgery. Materials and methodsWe analyzed VA created or surgically repaired between 2021 and 2022. We compared the differences in the preoperative variables between the groups in which the assessments between the two teams were coincident and non-coincident, and the primary (PP) and secondary (PS) patencies during the follow-up period (Kapplan-Meier curves and Log-rank test, and Cox regression analysis). Significant P≤.05. ResultsA total of 605 VA creations or repairs were analyzed: 74 ligations (12.2%), 207 distal arterio-venous fistulaes (AVF) (34.3%), 237 proximal AVF (39.2%), 35 repairs (5.7%), 41 grafts (6.7%) and 11 others (1.9%). After an average waiting list time of 16.5±11.6 days, excluding ligations, adequate 1-month maturation was observed in 87.6% of cases. A total of 158 endovascular procedures and 17 surgical repairs were performed during postoperative follow-up. Primary (PP) and secondary (PS) patencies at 6, 12 and 24 months were PP: 76.2%, 64.9%, 57.5% and PS: 86.4%, 81.2%, 74.7%, respectively. Of the total number of procedures, nephrology obtained an adequate degree of agreement in 93.6% of the cases (kappa index: 0.886). The preoperative factors associated with greater discrepancies in assessments were age (P=.022) and arterial diameter (P =.032). The subgroup of non-matched assessments between nephrology and vascular surgery (39 cases) presented a similar PP (at 2 years: 59.2% vs 41.3%, P =.099) but worse PS (at 2 years: 76.6% vs 55.4%, P =.005). ConclusionsNo significant observer-dependent differences (nephrologist vs. vascular surgeon) were observed in decision-making regarding the surgical procedure to be performed (93.6% agreement), and discordant cases presented worse secondary patency. After specific training, the nephrology coordination team can make a proper optimisation of social and health resources by reserving referrals to vascular surgery for those cases of greater complexity.

Use of wireless technologies in IoT projects

When it comes to creating projects based on the use of the Internet of Things (IoT), wireless sensor networks are often used. Edge computing in IoT technology reduces system response delays to sensor output signals and increases the network throughput. At the same time, a short-range sensor network can work locally without access to the Internet, while long-range networks, as a rule, require access to the Internet and use both edge and cloud computing. The paper shows the features of the application of both peripheral and cloud computing in the practical implementation of IoT projects with various methods of wireless data transmission. Specific examples show the possibility of data transmission over a short distance using ESP-NOW technology, nRF24L01 radio modules and creating a local Wi-Fi access point. The range of sensor data transmission between microcontrollers is practically determined for each proposed option. The calculation of the range of the LoRa radio line is carried out for the actual sensitivity values of the receiver. The Okamura-Hata radio wave propagation model is proposed to estimate the LoRa radio line’s total loss. The operational range of LoRa modules with different types of signal modulation is practically determined. The essence of edge computing combined with digital and analogue sensors is shown. Peculiarities of peripheral computing during the implementation of IoT projects for remote control of blood saturation of patients using wireless technologies are considered. An example of data transmission of the air quality control system through a gateway based on an ESP8266 microcontroller with a graphical display of measurements in the IoT cloud service ThingSpeak and Blynk was provided.

A Low-Complexity Solution for Optimizing Binary Intelligent Reflecting Surfaces towards Wireless Communication

Intelligent Reflecting Surfaces (IRSs) enable us to have a reconfigurable reflecting surface that can efficiently deflect the transmitted signal toward the receiver. The initial step in the IRS usually involves estimating the channel between a fixed transmitter and a stationary receiver. After estimating the channel, the problem of finding the most optimal IRS configuration is non-convex, and involves a huge search in the solution space. In this work, we propose a novel and customized technique which efficiently estimates the channel and configures the IRS with fixed transmit power, restricting the IRS coefficients to {1,−1}. The results from our approach are numerically compared with existing optimization techniques.The key features of the linear system model under consideration include a Reconfigurable Intelligent Surface (RIS) setup consisting of 4096 RIS elements arranged in a 64 × 64 element array; the distance from RIS to the access point measures 107 m. NLOS users are located around 40 m away from the RIS element and 100 m from the access point. The estimated variance of noise NC is 3.1614 × 10−20. The proposed algorithm provides an overall data rate of 126.89 (MBits/s) for Line of Sight and 66.093 (MBits/s) for Non Line of Sight (NLOS) wireless communication.

IKern: Advanced Intrusion Detection and Prevention at the Kernel Level Using eBPF

The development of new technologies has significantly enhanced the monitoring and analysis of network traffic. Modern solutions like the Extended Berkeley Packet Filter (eBPF) demonstrate a clear advancement over traditional techniques, allowing for more customized and efficient filtering. These technologies are crucial for influencing system performance as they operate at the lowest layer of the operating system, such as the kernel. Network-based Intrusion Detection/Prevention Systems (IDPS), including Snort, Suricata, and Bro, passively monitor network traffic from terminal access points. However, most IDPS are signature-based and face challenges on large networks, where the drop rate increases due to limitations in capturing and processing packets. High throughput leads to overheads, causing IDPS buffers to drop packets, which can pose serious threats to network security. Typically, IDPS are targeted by volumetric and multi-vector attacks that overload the network beyond the reception and processing capacity of IDPS, resulting in packet loss due to buffer overflows. To address this issue, the proposed solution, iKern, utilizes eBPF and Virtual Network Functions (VNF) to examine and filter packets at the kernel level before forwarding them to user space. Packet stream inspection is performed within the iKern Engine at the kernel level to detect and mitigate volumetric floods and multi-vector attacks. The iKern detection engine, operating within the Linux kernel, is powered by eBPF bytecode injected from user space. This system effectively handles volumetric Distributed Denial of Service (DDoS) attacks. Real-time implementation of this scheme has been tested on a 1Gbps network and shows significant detection and reduction capabilities against volumetric and multi-vector floods.

U.S. Healthcare Workers' Perspective of Outpatient Provision of Methadone: A Scoping Review.

A recent National Institute on Drug Addiction Call to Action focused on expanding methadone treatment access for individuals with opioid use disorder (OUD). One research priority identified was optimal educational and support structures, including training to provide methadone across multiple healthcare settings (e.g., primary care, opioid treatment programs [OTPs], pharmacies) and healthcare workers (HCWs) (e.g., providers, pharmacists). This scoping review sought to better understand HCWs' knowledge, attitudes, and stigma as it relates to methadone provision. Four databases (PubMed, PsycInfo, CINAHL, Web of Science) were searched for publications between 2010 and 2022 using keywords-methadone, HCW, outpatient setting, knowledge, attitudes, and stigma, focusing on HCWs in general and pharmacists specifically. A total of 2,747 articles were identified and 14 met inclusion criteria for review. Settings included OTPs (n = 4), specialty addiction treatment clinics (n = 3), community pharmacies (n = 2), and multiple settings (n = 5). All articles (n = 14) examined methadone-related attitudes. Despite approval of methadone in 1972 to treat OUD, four articles illustrated continued methadone-related stigma held by HCWs. In response to COVID-19-related policy changes allowing methadone take-home flexibility, OTP clinicians expressed a range of attitudes concerning patient risk and potential program liability around diversion and misuse. One article assessing knowledge suggested that, even when most pharmacists correctly answered knowledge questions, a significant minority had misunderstandings that could undermine effective treatment. Given the current imbalance between methadone treatment demand and availability, there is a critical need to expand outpatient methadone services. Pharmacists partnering with OTPs represent a logical but underutilized access point. We identified key areas to improve HCWs methadone-related knowledge, attitudes, and stigma. Future research should explore the impact of outpatient pharmacy-OTP and other expansion services, and systematic training, education, and evaluation of methadone-related understanding, including assessment tools to measure knowledge, attitudes, and stigma.