Setting up a drug treatment service in a COVID-protect hotel in inner London

At the start of the UK's COVID-19 lockdown, the government announced an ‘Everyone In’ strategy to get homeless people off the streets and into accommodation. An Inner London borough opened a hotel to house up to 100 homeless people to address their health needs. Local healthcare providers were asked to provide in-reach services. This article describes the setting up and delivery of a drug treatment service to provide substitute opioid therapy. Thirty-five people were taken into drug treatment in the hotel between April and December 2020. During this time various challenges had to be addressed including same-day prescribing, delivering and supervising controlled drugs and responding to drug dealing in the hotel. Partnership work between the different healthcare providers was essential for the success of this project and offers a model that could be used going forward to deliver comprehensive wrap-around services to hard-to-engage individuals with multiple health needs.

Cash Collection Model of Electric Power Business Office Based on Computer Algorithm

With the continuous development of intelligent algorithms, mobile robot (hereinafter referred to as MR) technology is gradually mature, which has been widely used in a variety of industries, such as industry, agriculture, medical treatment, service and so on. With the improvement of intelligent level, people have higher and higher requirements for MRs, which requires MRs to constantly adapt to different environments, especially dynamic environments. In the dynamic environment, obstacle avoidance technology has become the focus of intelligent robot research, which needs to continuously develop a variety of algorithms. By combining a variety of algorithms, we can realize obstacle avoidance and PP (hereinafter referred to as PP) of MR, which can realize obstacle avoidance more efficiently, in real time and intelligently. Multi algorithm fusion of MR has become the main trend of obstacle avoidance in the future, which will realize PP and optimization. Firstly, this paper analyzes the differences between traditional algorithms and intelligent algorithms. Then, the kinematics model and PP algorithm of MR are analyzed. Finally, the simulation is carried out.

What can be learnt from a qualitative evaluation of implementing a rapid sexual health testing, diagnosis and treatment service?

ObjectivesTo investigate experiences of implementing a new rapid sexual health testing, diagnosis and treatment service.DesignA theory-based qualitative evaluation with a focused ethnographic approach using non-participant observations and interviews with patient and clinic staff. Normalisation process theory was used to structure interview questions and thematic analysis.SettingA sexual health centre in Bristol, UK.Participants26 patients and 21 staff involved in the rapid sexually transmitted infection (STI) service were interviewed. Purposive sampling was aimed for a range of views and experiences and sociodemographics and STI results for patients, job grades and roles for staff. 40 hours of observations were conducted.ResultsImplementation of the new service required co-ordinated changes in practice across multiple staff teams. Patients also needed to make changes to how they accessed the service. Multiple small ‘pilots’ of process changes were necessary to find workable options. For example, the service was introduced in phases beginning with male patients. This responsive operating mode created challenges for delivering comprehensive training and communication in advance to all staff. However, staff worked together to adjust and improve the new service, and morale was buoyed through observing positive impacts on patient care. Patients valued faster results and avoiding unnecessary treatment. Patients reported that they were willing to drop-off self-samples and return for a follow-up appointment, enabling infection-specific treatment in accordance with test results, thus improving antimicrobial stewardship.ConclusionsThe new service was acceptable to staff and patients. Implementation of service changes to improve access and delivery of care in the context of stretched resources can pose challenges for staff at all levels. Early evaluation of pilots of process changes played an important role in the success of the service by rapidly feeding back issues for adjustment. Visibility to staff of positive impacts on patient care is important in maintaining morale.

Improving Treatment Together: a protocol for a multi-phase, community-based participatory, and co-design project to improve youth opioid treatment service experiences in British Columbia

Background Opioid use is one of the most critical public health issues as highly potent opioids contribute to rising rates of accidental opioid-related toxicity deaths. This crisis has affected people from all age groups, including youth (ages 15–24) who are in a critical developmental period where the stakes of opioid use are especially high. Efforts to reduce the significant harms of opioid use have focused on the expansion of evidence-based treatments, including medications for opioid use disorder (e.g. buprenorphine). While these treatments are unequivocally life saving, recent evidence suggests that they may not align with youths’ needs. Accordingly, the ‘Improving Treatment Together’ (ITT) project has been designed with the aim to improve youths’ opioid treatment service experiences and outcomes by co-developing, implementing, and measuring youth-centred opioid use treatment service innovations. This manuscript describes the protocol for this multi-phase project. Methods The ITT project follows community-based participatory research (CBPR) and strategically integrates co-design processes throughout its four phases. Upon establishing a project partnership between national, provincial and community-based organizations, Phase 1 follows four core elements of human-centred co-design (empathy, needs identification, ideation, prototyping) in nine separate workshops. These workshops will be held in four diverse communities with youth, caregivers and service providers who have accessed or delivered opioid treatment services. Phase 1 will culminate in the co-production of opioid treatment service innovations to be considered by the project’s partners for further co-development, pilot testing, and wider implementation during the remaining phases of the project. Throughout each phase, the project will collect and analyse both qualitative and quantitative research and evaluation data to determine the project’s impact. Discussion This protocol provides a detailed description of the ITT project, with an emphasis on the project’s application of co-design and CBPR processes, the planned research and implementation procedures, and the establishment of a unique partnership. To our knowledge, this is one of the first projects to integrate these participatory processes to the design, implementation and measurement of youth-centred opioid treatment services. Embedding these processes throughout each phase of the project will strengthen the relevance and feasibility of the project’s service delivery innovations.