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Objectives: To examine patients' telehealth usability during COVID-19 in Dubai. Method(s): A cross-sectional retrospective study adopted Telehealth Usability Questionnaire (TUQ). A total of 64,173 participants who used telehealth services during 2020 - 2021 were recruited from the electronic medical record to participate in electronic survey from October to December 2022. The survey was administered through DHA text messaging system. The survey examined participants' characteristics and the six domains of TUQ with a Likert scale. Frequency, percentage, and weighted mean score percentages were used as descriptive statistics to analyze this data. Result(s): A total of 1,535 participants completed the survey. The overall TUQ showed the mean age of users was 43.37 years (+/-11.67 SD). More than half of the users were females (65.21%), the majority were married (74.46%), of a UAE nationality (83.58%), had higher education (56.68%), and were currently working (57.13%). Consultations and COVID-19-related concerns (45.14%), medication refills (19.80%), and laboratory tests (18.24%) were the main reasons for telehealth visits. Weighted means of TUQ six domains were usefulness (87.11%), ease of use and learnability (86.98%), interface quality (85.73%), interaction quality (86.44%), reliability (79.48%), and satisfaction and future use (86.44%). Conclusion(s): Our study revealed high levels of usability and willingness to use telehealth services as an alternative modality to in-person consultations among the participants of the survey. Our results support the implementation of telehealth services in DHA;however, further studies are required to understand the applicability of telehealth after COVID-19 and how to further improve satisfaction.Copyright © 2023
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The proceedings contain 159 papers. The topics discussed include: microelimination of hepatitis C among people living with diagnosed HIV in England;laboratory implementation of emergency department blood-borne virus (EDBBV) opt-out screening in a London tertiary center;a review of sexual health and blood-borne virus care provided to inmates at admission into UK prisons and secure facilities;implementation of routine opt-out blood-borne virus (BBV) screening in 34 emergency departments (EDs) in areas of extremely high HIV prevalence in England;impact and experiences of offering HIV testing across the whole city population through primary care clusters and GP surgeries in the texting 4 Testing (T4T) project;'Not PrEPared': barriers to accessing PrEP in England;HIV care during the SARS-COV-2 pandemic for Black people with HIV in the UK;clinical presentation of mpox in people with and without HIV;and 'if you don't know, how can you know?': a qualitative investigation of HIV pre-exposure prophylaxis knowledge and perceptions among women in England.
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Comprehensive medication management (CMM) is increasingly provided by health care teams through telehealth or hybrid modalities. The purpose of this scoping literature review was to assess the published literature and examine the economic, clinical, and humanistic outcomes of CMM services provided by pharmacists via telehealth or hybrid modalities. This scoping review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews. Randomized controlled trials (RCTs) and observational studies were included if they: reported on economic, clinical, or humanistic outcomes;were conducted via telehealth or hybrid modalities;included a pharmacist on their interprofessional team;and evaluated CMM services. The search was conducted between January 1, 2000, and September 28, 2021. The search strategy was adapted for use in Medline (PubMed);Embase;Cochrane;Cumulative Index to Nursing and Allied Health Literature;PsychINFO;International Pharmaceutical s;Scopus;and grey literature. Four reviewers extracted data using a screening tool developed for this study and reviewed for risk of bias. Authors screened 3500 articles, from which 11 studies met the inclusion criteria (9 observational studies, 2 RCTs). In seven studies, clinical outcomes improved with telehealth CMM interventions compared to either usual care, face-to-face CMM, or educational controls, as shown by the statistically significant changes in chronic disease clinical outcomes. Two studies evaluated and found increased patient and provider satisfaction. One study described a source of revenue for a telehealth CMM service. Overall, study results indicate that telehealth CMM services, in select cases, may be associated with improved clinical outcomes, but the methods of the included studies were not homogenous enough to conclude that telehealth or hybrid modalities were superior to in-person CMM. To understand the full impact on the Quadruple Aim, additional research is needed to investigate the financial outcomes of CMM conducted using telehealth or hybrid technologies.Copyright © 2022 Pharmacotherapy Publications, Inc.
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Communication trends between patients and healthcare professionals have evolved over the last decade and most notably during the 2020 COVID-19 pandemic. Digital technology such as email, smartphones, text messaging, and social media have transformed communication in the healthcare setting. This chapter will highlight how digital technology is changing the way urologists communicate with patients and colleagues as well as provide guidance on how to avoid some of the pitfalls associated with this form of communication. © Springer Nature Switzerland AG 2022.
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Aims: Telehealth became a patient necessity during the COVID pandemic and evolved into a patient preference in the post-COVID era. This study compared the % total body weight loss (%TBWL), HbA1c reduction, and resource utilization among patients with obesity and diabetes who participated in lifestyle interventions with or without telehealth. Method(s): A total of 150 patients with obesity and diabetes who were followed every 4-6 weeks either in-person (n = 83) or via telehealth (n = 67), were included. All patients were provided with an individualized nutritional plan that included a weight-based daily protein intake from protein supplements and food, an activity/sleep schedule-based meal times, and an aerobic exercise goal of a 2000-calorie burn/week, customized to patient's preferences, physical abilities, and comorbidities. The goal was to lose 10%TBWL. Telehealth-based follow-up required transmission via texting of weekly body composition measurements and any blood glucose levels below 100 mg/dl for medication adjustments. Weight, BMI, %TBWL, HbA1c (%), and medication effect score (MES) were compared. Patient no-show rates, number of visits, program duration, and drop-out rate were used to assess resource utilization based on cumulative staff and provider time spent (CSPTS), provider lost time (PLT) and patient spent time (PST). Result(s): Mean age was 47.2 +/- 10.6 years and 74.6% were women. Mean Body Mass Index (BMI) decreased from 44.1 +/- 7.7-39.7 +/- 6.7 kg/m2 (p < 0.0001). Mean program duration was 189.4 +/- 169.3 days. An HbA1c% unit decline of 1.3 +/- 1.5 was achieved with a 10.1 +/- 5.1%TBWL. Diabetes was cured in 16% (24/150) of patients. %TBWL was similar in regards to telehealth or in-person appointments (10.6% +/- 5.1 vs. 9.6% +/- 4.9, p = 0.14). Age, initial BMI, MES, %TBWL, and baseline HbA1c had a significant independent effect on HbA1c reduction (p < 0.0001). Program duration was longer for in-person follow-up (213.8 +/- 194 vs. 159.3 +/- 127, p = 0.019). The mean annual telehealth and in-person no-show rates were 2.7% and 11.2%, respectively (p < 0.0001). Mean number of visits (5.7 +/- 3.0 vs. 8.6 +/- 5.1) and drop-out rates (16.49% vs. 25.83%) were lower in telehealth group (p < 0.0001). The CSPTS (440.4 +/- 267.5 min vs. 200.6 +/- 110.8 min), PLT (28.9 +/- 17.5 min vs. 3.1 +/- 1.6 min), and PST (1033 +/- 628 min vs. 113.7 +/- 61.4 min) were significantly longer (p < 0.0001) for the in-person group. Conclusion(s): Telehealth offered comparable %TBWL and HbA1c decline as in-person follow-up, but with a shorter follow-up, fewer appointments, and no-shows. If improved resource utilization is validated by other studies, telehealth should become the standard of care for the management of obesity and diabetes.Copyright © 2023 The Authors. Obesity Science & Practice published by World Obesity and The Obesity Society and John Wiley & Sons Ltd.
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Artificial Intelligence (AI) is a transformative force in communication and messaging strategy, with potential to disrupt traditional approaches. Large language models (LLMs), a form of AI, are capable of generating high-quality, humanlike text. We investigate the persuasive quality of AI-generated messages to understand how AI could impact public health messaging. Specifically, through a series of studies designed to characterize and evaluate generative AI in developing public health messages, we analyze COVID-19 pro-vaccination messages generated by GPT-3, a state-of-the-art instantiation of a large language model. Study 1 is a systematic evaluation of GPT-3's ability to generate pro-vaccination messages. Study 2 then observed peoples' perceptions of curated GPT-3-generated messages compared to human-authored messages released by the CDC (Centers for Disease Control and Prevention), finding that GPT-3 messages were perceived as more effective, stronger arguments, and evoked more positive attitudes than CDC messages. Finally, Study 3 assessed the role of source labels on perceived quality, finding that while participants preferred AI-generated messages, they expressed dispreference for messages that were labeled as AI-generated. The results suggest that, with human supervision, AI can be used to create effective public health messages, but that individuals prefer their public health messages to come from human institutions rather than AI sources. We propose best practices for assessing generative outputs of large language models in future social science research and ways health professionals can use AI systems to augment public health messaging. © 2023 ACM.
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Eligible persons with HIV infection can receive client-centered case management to coordinate medical and social services. Novel mobile health interventions could improve effective case management and retention in care, an important goal to help end the HIV epidemic. Using a hybrid type I effectiveness-implementation design, we assessed whether access to bidirectional, free-draft secure text messaging with a case manager and clinic pharmacist could improve client satisfaction and care retention in a Southern academic HIV clinic. Sixty-four clients enrolled between November 2019 and March 2020, had a median age of 39 years, and were mostly male, single, and African-American. Heavy app users texted over 100 times (n = 6) over the course of the 12-month intervention while others never texted (n = 12). App usage peaked during months of clinic closure due to COVID-19. Most participants reported high satisfaction with the app and planned continued usage after study completion. Changes in clinic retention and virologic suppression rates were not observed, a result confounded by practice changes due to COVID-19. High usage and satisfaction of free-draft text messaging in case-managed HIV clients supports inclusion of this communication option in routine HIV clinical care.
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The concept of a metaverse, a virtual world that offers immersive experiences, has gained widespread interest in recent years. Despite the hype, there is still a gap in its practical application, especially in the realm of education. This study presents the design and implementation of a metaverse tailored to the needs of education. The goal of this paper is to demonstrate the feasibility of such a system and evaluate its effectiveness. It is crucial to understand the architecture and implementation of a metaverse to effectively customise it for educational purposes. To assess user experience, a field study was conducted, collecting data through questionnaires and qualitative feedback. The results show that users were pleased with the features, player experience, and ease of use.
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Population health management (PHM) is a systematic approach that uses information technology and digital health tools to improve health and healthcare at the population-level. PHM programs identify individuals who could benefit from a set of PHM interventions;implement computable logic to stratify patients according to risk;and implement protocol-based logic to assign individuals within each stratum to specific interventions. PHM is a promising approach to help achieve the Quintuple Aim of healthcare: (i) improving population health through population-level interventions;(ii) enhancing the care experience by shifting healthcare from the clinic to the patient's home;(iii) reducing costs by focusing on health promotion and prevention;(iv) improving the work life of the health care workforce by reducing clinic workload;and (v) advancing health equity by maximizing reach through a combination of digital and human-based patient outreach interventions. This chapter discusses the components of a technical infrastructure to support PHM, including data sources (registries, electronic health records), data analytics tools, patient outreach and engagement tools, and patient tracking dashboards. We also describe real-world examples of PHM programs focused on chronic disease management, genetic testing for hereditary cancers, colorectal cancer screening, COVID-19 testing and vaccination, and tobacco cessation. PHM is expected to experience substantial growth with novel digital health technologies, such as sensors, phone apps, conversational agents, and virtual reality;artificial intelligence;and new data sources. © 2023 Elsevier Inc. All rights reserved.
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BACKGROUND: Prenatal education encourages healthy behavioral choices and reduces rates of adverse birth outcomes. The use of mobile health (mHealth) technologies during pregnancy is increasing and changing how pregnant people acquire prenatal education. SmartMom is an evidence-based prenatal education SMS text messaging program that overcomes barriers to prenatal class attendance, including rural or remote location, cost, stigma among participants, lack of instructors, and cessation of classes during the COVID-19 pandemic. OBJECTIVE: We sought to explore perceived information needs and preferences for the content and structure of prenatal education mHealth programs among persons enrolled in or eligible to enroll in SmartMom. METHODS: This was a qualitative focus group study conducted as part of a development and usability study of the SmartMom program. Participants were older than 19 years of age, Canadian residents, fluent in English, and either currently pregnant or pregnant within the last year. We asked open-ended questions about information-seeking behaviors during pregnancy, the nature of the information that participants were seeking, how they wanted to receive information, and if SmartMom was meeting these needs. Focus groups took place via videoconference technology (Zoom) between August and December 2020. We used reflexive thematic analysis to identify themes that emerged from the data and the constant comparison method to compare initial coding to emerging themes. RESULTS: We conducted 6 semistructured focus groups with 16 participants. All participants reported living with a partner and owning a cell phone. The majority (n=13, 81%) used at least 1 app for prenatal education. Our analysis revealed that "having reliable information is the most important thing" (theme 1); pregnant people value inclusive, local, and strength-based information (theme 2); and SMS text messages are a simple, easy, and timely modality ("It was nice to have that [information] fed to you"; theme 3). Participants perceived that SmartMom SMS text messages met their needs for prenatal education and were more convenient than using apps. SmartMom's opt-in supplemental message streams, which allowed users to tailor the program to their needs, were viewed favorably. Participants also identified that prenatal education programs were not meeting the needs of diverse populations, such as Indigenous people and LGBTQIA2S+ (lesbian, gay, bisexual, transgender, queer and/or questioning, intersex, asexual, Two-Spirit plus) communities. CONCLUSIONS: The shift toward digital prenatal education, accelerated by the COVID-19 pandemic, has resulted in a plethora of web- or mobile technology-based programs, but few of these have been evaluated. Participants in our focus groups revealed concerns about the reliability and comprehensiveness of digital resources for prenatal education. The SmartMom SMS text messaging program was viewed as being evidence-based, providing comprehensive content without searching, and permitting tailoring to individual needs through opt-in message streams. Prenatal education must also meet the needs of diverse populations.
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Keynote Address: Canadian Society for Traditional Music/ Society for Ethnomusicology 2020 Virtual Annual Meeting 24 October 2020 I am speaking to you from my home in Toronto, Canada.1 I wish to acknowledge this land on which the University of Toronto operates and where my house is located. Today, this meeting place is still the home to many Indigenous Peoples from across Turtle Island and I am grateful to have the opportunity to work on this land. (https://indigenous.utoronto.ca/about/ land-acknowledgement/) Thank you to the president and board, and leadership and memberships of the Canadian Society for Traditional Music (CSTM) and the Society for Ethnomusicology (SEM), for the opportunity to give this keynote lecture. The first thing I'll say is that though I'm the one monologuing right now, what's coming is the product of many dialogues - some imaginary dialogues with authors I've been reading, and many more actual phone conversations, emails, text messages, and other forms of communication with fellow scholars, parents, and people, only some of whom are named in this slide [see endnote.]2 Keynote talks are intensely focused on one person, but I am thinking of this event more as me holding the mic in a long conversation and telling you about what I've been thinking, who I've been speaking with, and what I've been reading. According to Jobson, "As a discourse of moral perfectibility founded in histories of settler colonialism and chattel slavery, liberal humanism and its anthropological register of ethnographic sentimentalism proved insufficient to confront the existential threats of climate catastrophe and authoritarian retrenchment" (2019: 259).
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Sexting behavior is a contemporary form of sexual expression where people can send, receive, and exchange sexually suggestive content online. The COVID-19 pandemic lockdown has greatly exposed emerging adults to sexting behavior. The present study aimed to examine the level of engagement in sexting behavior and the sexting motives (intimacy, enhancement, self-affirmation, coping, peer pressure, partner approval) among emerging adults in Malaysia during the pandemic lockdown period. Men and individuals in a relationship were previously observed to have reported a higher engagement in sexting. Therefore, the present study also investigated the differences in gender and relationship status in sexting behavior. A cross-sectional quantitative study was adopted to recruit 252 emerging adult respondents (Mage = 22.84, SDage = 2.05, females = 53.1%) through a purposive sampling method. The descriptive statistics indicated that nine in 10 emerging adults sexted and that an independent t-test depicted men and individuals in relationships being more likely to engage in sexting behavior. The hierarchical linear regression too showed that sexting motives of intimacy, enhancement, peer pressure, and partner approval contributed to a higher level of sexting behavior. Overall, the results may serve as resourceful input for future revisions and implementation of sexual reproductive health education.
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Automated text messaging interventions can effectively improve self-care and were used to support the U.S. Veterans Health Administration's (VHA) public health outreach during the COVID pandemic. Currently, significant gaps exist in knowledge about VHA patients' texting protocol preferences that may impact user receptivity, engagement, and effectiveness. This study qualitatively evaluated patient suggestions to improve two VHA Covid-related texting interventions and preferences for future text message protocols. We reviewed cross-sectional type-written survey responses from patients receiving either the "Coronavirus Precautions" or the "Coping During COVID" multi-week text protocols. Two team members independently and inductively coded all responses allowing for an upward abstraction of qualitative data. Nine hundred five patients (72.8% male) responded to the open-response item questions targeted by this research. An item that sought feedback to improve protocol acceptability generated thirteen distinct descriptive categories (inter-rater reliability 83.5%). Codable feedback showed, for example, that patients desired to manipulate message frequency and to have a more sophisticated interaction with messages. Patients' suggestions for future automated text messaging protocols yielded nine distinct topic areas. Patients offered suggestions that may impact receptivity and engagement of future automated text message protocols, particularly as they relate to outreach during a public health crisis. In addition, patients offered specific topics they would like to see in future text message protocols. We discuss how the findings can be used to increase engagement in current and post-pandemic public health interventions.
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Introduction: The impact of COVID-19 social restrictions on mental wellbeing of health professional students during placement is largely unknown. Conventional survey methods do not capture emotional fluctuations. Increasing use of smartphones suggests short message service (SMS) functionality could provide easy, rapid data. This project tested the feasibility and validity of gathering data on Therapeutic Radiography student mental wellbeing during clinical placement via emoji and SMS. Methods: Participants provided anonymous daily emoji responses via WhatsApp to a dedicated mobile phone. Additional weekly prompts sought textual responses indicating factors impacting on wellbeing. A short anonymous online survey validated responses and provided feedback on the method. Results: Participants (n = 15) provided 254 daily responses using 108 different emoji;these triangulated with weekly textual responses. Feedback concerning the method was positive. 'Happy' emoji were used most frequently;social interaction and fatigue were important wellbeing factors. Anonymity and opportunity to feedback via SMS were received positively;ease and rapidity of response engendered engagement throughout the 3-week study. Conclusions: The use of emoji for rapid assessment of cohort mental wellbeing is valid and potentially useful alongside more formal evaluation and support strategies. Capturing simple wellbeing responses from a cohort may facilitate the organisation of timely support interventions. © The Author(s), 2022. Published by Cambridge University Press.
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Mobile messaging apps are currently a popular method in Malaysia for communicating while on the go, owing to its convenience, reliability, and contact-free feature of mobile application. Fueled by mobile internet and smartphone growth, mobile messaging apps have become a strong force in the mobile app sector, offering users an alternative to SMS-based texting paired with social media elements and enhanced features, such as group chats and photo sharing. The study was anchored using the unified theory of acceptance and use of technology 2 theory. A survey with 150 respondents and PLS analysis is used to determine the antecedents of mobile application continuance usage during the COVID-19 pandemic. The results revealed that there is an influence in the usage of mobile messaging apps among the younger generation in Malaysian public university students during the COVID-19 pandemic. The main implication shows that mobile application among young generations in public universities has become popular. The convenience usage of the internet has turned the world into a global village.
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BACKGROUND: COVID-19 pandemic lockdowns led to the closure of most in-person pulmonary rehabilitation programs in Australia. Text message programs are effective for delivering health support to aid the self-management of people with chronic diseases. This study aimed to evaluate the implementation of a six-month pre-post text message support program (Texting for Wellness: Lung Support Service), and the enablers and barriers to its adoption and implementation. METHODS: This mixed-methods pre-post study used the Reach, Effectiveness, Adoption, Implementation and Maintenance (RE-AIM) framework to evaluate the Texting for Wellness: Lung Support Service, which is an automated six-month text message support program that included evidence-based lifestyle, disease-self management and COVID-19-related information. Reach was measured by the proportion of participant enrolments and demographic characteristics. Adoption enablers and barriers were measured using text message response data and a user feedback survey (five-point Likert scale questions and free-text responses). Implementation was evaluated to determine fidelity including text message delivery data, opt-outs, and intervention costs to promote and deliver the program. RESULTS: In total, 707/1940 (36.4%) participants enrolled and provided e-consent, with a mean age (±standard deviation) of 67.9 (±9.2) years old (range: 23-87 years). Of participants who provided feedback, (326/707) most 'agreed' or 'strongly agreed' that the text messages were easy to understand (98.5%), helpful them to feel supported (92.3%) and helped them to manage their health (88.0%). Factors influencing engagement included a feeling of support and reducing loneliness, and its usefulness for health self-management. Messages were delivered as planned (93.7% successfully delivered) with minimal participant dropouts (92.2% retention rate) and low cost ($AUD24.48/participant for six months). A total of 2263 text message replies were received from 496 unique participants. There were no reported adverse events. CONCLUSION: Texting for Wellness: Lung Support Service was implemented quickly, had a broad reach, with high retention and acceptability among participants. The program was low cost and required minimal staff oversight, which may facilitate future implementation. Further research is needed to evaluate the efficacy of text messaging for the improvement of lung health outcomes and strategies for long-term pulmonary rehabilitation program maintenance.
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COVID-19 , Respiration Disorders , Text Messaging , Humans , Young Adult , Adult , Middle Aged , Aged , Aged, 80 and over , COVID-19/epidemiology , Pandemics , Communicable Disease Control , LungABSTRACT
Introduction: Mobile devices and smartphones have made technology in healthcare more accessible to patients, with COVID-19 further expediting the integration of technology into healthcare. Depression and anxiety are measured via self-report, personality assessments, or during a psychological evaluation with a mental health clinician. These methods of assessing symptomatology lack the benefits of today's technology. This study aims to explore the utility of passive and portable data collection in individuals with anxiety and depression. Materials / Methods: A systematic literature search was conducted through ScienceDirect, PubMed, NCBI, and JMIR electronic databases for studies that were published between 2015-2021 using the following keywords: depression, mobile health, digital phenotyping, mobile applications, mobiles phones, passive EMA, psychiatric assessment, and mhealth. Inclusion criteria;(1) peer-reviewed articles published between 2015 and 2021;(2) studies published in English;(3) studies that use data sensors to monitor and measure the symptomatology of anxiety, depression, and cardiovascular health. A total of 15 studies met criteria. Result(s): Of the 13 studies reviewed, all found at least some correlation between mobile phone usage and depressive symptomatology. 5 studies found a large correlation between GPS data and severity of depressive symptomatology. Contrastingly, one study found that, although people with depressive symptoms spend less time calling and texting others, they spend more time on their phones. Another study states that individuals with depression let their phones ring for longer and have more missed calls. Additionally, 6 studies found a correlation between usage and anxious symptomatology. Mobile phone utilization was found to be far less correlated with anxiety and is a weaker predictor of such symptomatology. The studies found that increased calls, speech presence, and social media usage were directly correlated with increased anxiety. Discussion(s): All research analyzed shows the significance of passive sensor data when screening individuals for emotional symptomatology. This is stated with the implication that EMA are used alongside the sensor data to give a comprehensive picture of the patient. GPS data plays a central role in the ability to screen for symptomatology related to depression and anxiety due to location variability or lack thereof. Conclusion(s): Future research should focus on longer-term studies, that collect more passive data, and have larger sample sizes to ensure that the full extent of interaction between these pathologies can be understood. It should also be noted that other sensors such as ambient light and audio sensors displayed significant results, however, data on their ability to correlate to symptomatology is limited. Learning Objectives: 1. Learn the new and emerging methods of screening for depression and anxiety. 2. Learn new ways to interpret passive sensor data. 3. Learn how a combined approach of passive data collection and active EMA can improve the identification of symptomatology. Keywords: mobile health, digital phenotyping, passive EMA, psychiatric assessment, mobile sensors, depression Copyright © 2022
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Aim: Personalised stratified follow up (PSFU) is a programme that ensures safe follow-up of breast cancer patients following treatment completion, avoids un-necessary appointments, whilst offering rapid access to clinicians when required. A protocol for PSFU was designed and the programme introduced to West Middlesex University Hospital in 2019. We aim to assess patient satisfaction with nurse-led end of treatment consultations. Method: 200 Patients were enrolled from January 2019 to September 2021.The study was registered with the Clinical Governance department. All patients were initially contacted by telephone and later questionnaires were sent out either by post or using Google Docs via text messaging. Data was collected both from questionnaires and Somerset cancer registry platform and analysed using Microsoft Excel. Results: Out of 200 patients, 150 were successfully contacted by telephone and sent questionnaires, with 68% response rate. This was largely electronic. 48% had video or phone consultations, with the rest attending in person. 90% thought they had sufficient time for discussion, with 82% feeling well informed regarding their management at the end of the consultation. 86% were satisfied or very satisfied with the consultation. 35% had their consultation within 3 months of completing treatment and 29% within 6 months. Conclusion: Patients were largely satisfied with their end of treatment consultations. This was in spite of delays caused by the COVID-19 pandemic. Longer term follow up is required to determine satisfaction with the PSFU programme as a whole, and its efficiency.