Delivering outpatient virtual clinics during the COVID-19 pandemic: early evaluation of clinicians’ experiences

BackgroundThe COVID-19 pandemic has put health systems across the world under significant pressure. In March 2020, a national directive was issued by the National Health Service (NHS) England instructing trusts to scale back face-to-face outpatient appointments, and rapidly implement virtual clinics.MethodsA multidisciplinary team of change managers, analysts and clinicians were assembled to evaluate initial implementation of virtual clinics at Guy’s and St Thomas’ NHS Foundation Trust. In-depth interviews were conducted with clinicians who have delivered virtual clinics during the pandemic. An inductive thematic approach was used to analyse clinicians’ early experiences and identify enablers for longer term sustainability.ResultsNinety-five clinicians from specialist services across the trust were interviewed between April and May 2020 to reflect on their experiences of delivering virtual clinics during Wave I COVID-19. Key reflections include the perceived benefits of virtual consultations to patients and clinicians; the limitations of virtual consultations compared with face-to-face consultations; and the key enablers that would optimise and sustain the delivery of virtual pathways longer term.ConclusionsIn response to the pandemic, outpatient services across the trust were rapidly redesigned and virtual clinics implemented. As a result, services have been able to sustain some level of service delivery. However, clinicians have identified challenges in delivering this model of care and highlighted enablers needed to sustaining the delivery of virtual clinics longer term, such as patient access to diagnostic tests and investigations closer to home.

Preventing Non-attendance in Outpatient Appointments: Predictive Model Development, Validation, and Clinical Assessment

Background: Non-attendance to scheduled hospital outpatient appointments may compromise healthcare resource planning, which ultimately reduces the quality of healthcare provision by delaying assessments and increasing waiting lists. We developed a model for predicting non-attendance and assessed the effectiveness of an intervention for reducing non-attendance based on the model.Methods: Candidate models were built using retrospective data from appointments scheduled between January 1, 2015, and November 30, 2018, in the dermatology and pneumology outpatient services of the Hospital Municipal de Badalona (Spain). The predictive capacity of the selected model was then validated prospectively with appointments scheduled between January 7 and February 8, 2019. The effectiveness of selective phone call reminders to patients at high risk of non-attendance according to the model was assessed on all consecutive patients with at least one appointment scheduled between February 25 and April 19, 2019. Patients identified by the model as high risk of non-attendance were randomly assigned to either a control (no intervention) or intervention group, the last receiving phone call reminders one week before the appointment.Results: Models were trained and selected using 33,329 appointments in the dermatology service and 21,050 in the pneumology service. Average results for specificity and balanced accuracy for the prediction of non-attendance were 79.90% and 73.49% for dermatology, and 71.38% and 64.61% for pneumology outpatient services. The prospective validation showed a specificity of 78.34% (95%CI 71.07, 84.51) and balanced accuracy of 70.45% for dermatology; and 69.83% (95%CI 60.61, 78.00) for pneumology, respectively. The effectiveness of the intervention was assessed on 1,311 individuals identified as high risk of non-attendance according to the selected model. Overall, the intervention resulted in a significant reduction in the non-attendance rate to both the dermatology and pneumology services, with a decrease of 50.61% (p<0.001) and 39.33% (p=0.048), respectively.Conclusions: The risk of non-attendance can be adequately estimated using patient information stored in medical records. The patient stratification according to the non-attendance risk allows prioritizing interventions, such as phone call reminders, to effectively reduce non-attendance rates.

Experience of Using a Mobile App to Improve Adherence to Treatment in Patients with TB/HIV Coinfection

The objective of the study: to summarize experience of using a mobile technology to improve adherence in patients with tuberculosis and HIV infection (TB/HIV) who are psychoactive substance users.Subjects and Methods. A smartphone app was used, it included daily patient inquiries about mood, stress levels, and medication intake; periodic reminders about outpatient appointments; and anonymous chats with the coordinating physician and other patients. Treatment results were evaluated in Group 1 (n = 54) and Group 2 (n = 50), where this technology was used and not used, respectively.Results. The number of patients cured of tuberculosis was not significantly different between Groups 1 and 2 (32/51 vs. 27/48; χ2 = 0.61, p = 0.48). Patients from Group 2 died significantly more often during the follow-up period (14/48 vs. 3/51; χ2 = 7.86, p = 0.006) associated with antiretroviral therapy interruption or withdrawal. Increased CD4 count by 6 months of follow-up was found in both groups, most pronounced among those who started ART (W = 6.0, p = 0.004 – in Group 1 and W = 15.0, p = 0.004 – in Group 2). The total number of patients with viral suppression was greater in Group 1 than in Group 2 (34/47 vs. 20/39; χ2 = 4.05, p = 0.04).Conclusion. The mobile app used is suitable for supporting the outpatient management of patients with TB/HIV coinfection but its direct impact was reflected only in the formation of ART adherence and lower number of deaths.

Cancellation of outpatient appointments in patients with attention-deficit/hyperactivity disorder

Background Regular visit to psychiatric clinic is essential for successful treatment of any psychiatric condition including attention-deficit/hyperactivity disorder (AD/HD). However, cancellation of outpatient appointments in patients with AD/HD, which represents a significant medical loss, has not been systematically investigated to our knowledge. Methods A systematic chart review was conducted for patients visiting the Shimada Ryoiku medical Center for Challenged Children in Japan at the age of ≤15 years from January to December 2013. The primary outcome measure was the cancellation rate, defined as the number of missed visits divided by the number of scheduled visits. The cancellation rates during 24 months after the first visit were compared between outpatients with AD/HD and other psychiatric disorders, including pervasive developmental disorders (PDD), and developmental coordination disorders and/or communication disorders (DCD-CD). A generalized linear model with binomial distribution was used to examine factors associated with cancellation rates exclusively in the AD/HD group. Results We included 589 patients (mean ± SD age, 5.6 ± 3.4 years; 432 males) in the analysis. The cancellation rate in patients with AD/HD was 12.3% (95% confidence interval [CI]: 10.0–15.1), which was significantly higher than in those with PDD (5.6%, 95% CI: 3.8–8.3) and DCD-CD (5.3%, 95% CI: 3.6–7.8). Prescriptions of osmotic-release oral system-methylphenidate (OROS-MPH) and antipsychotics were associated with fewer cancellations in AD/HD patients (odds ratios: 0.61, 95% CI: 0.39–0.95 and 0.49, 95% CI: 0.25–0.95, respectively), although these significances did not find in the subgroup analysis including only patients with ≥ 6 years old. Conclusions Patients with AD/HD were more likely to miss appointments compared to those with other psychiatric disorders. The impact of AD/HD medications as well as potential psychiatric symptoms of their parents or caregivers on appointment cancellations needs to be evaluated in more detail in future investigations.

Characterising the nationwide burden and predictors of unkept outpatient appointments in the National Health Service in England: A cohort study using a machine learning approach

Background Unkept outpatient hospital appointments cost the National Health Service £1 billion each year. Given the associated costs and morbidity of unkept appointments, this is an issue requiring urgent attention. We aimed to determine rates of unkept outpatient clinic appointments across hospital trusts in the England. In addition, we aimed to examine the predictors of unkept outpatient clinic appointments across specialties at Imperial College Healthcare NHS Trust (ICHT). Our final aim was to train machine learning models to determine the effectiveness of a potential intervention in reducing unkept appointments. Methods and findings UK Hospital Episode Statistics outpatient data from 2016 to 2018 were used for this study. Machine learning models were trained to determine predictors of unkept appointments and their relative importance. These models were gradient boosting machines. In 2017–2018 there were approximately 85 million outpatient appointments, with an unkept appointment rate of 5.7%. Within ICHT, there were almost 1 million appointments, with an unkept appointment rate of 11.2%. Hepatology had the highest rate of unkept appointments (17%), and medical oncology had the lowest (6%). The most important predictors of unkept appointments included the recency (25%) and frequency (13%) of previous unkept appointments and age at appointment (10%). A sensitivity of 0.287 was calculated overall for specialties with at least 10,000 appointments in 2016–2017 (after data cleaning). This suggests that 28.7% of patients who do miss their appointment would be successfully targeted if the top 10% least likely to attend received an intervention. As a result, an intervention targeting the top 10% of likely non-attenders, in the full population of patients, would be able to capture 28.7% of unkept appointments if successful. Study limitations include that some unkept appointments may have been missed from the analysis because recording of unkept appointments is not mandatory in England. Furthermore, results here are based on a single trust in England, hence may not be generalisable to other locations. Conclusions Unkept appointments remain an ongoing concern for healthcare systems internationally. Using machine learning, we can identify those most likely to miss their appointment and implement more targeted interventions to reduce unkept appointment rates.

Ways of optimizing the organization of providing ambulatory coloproctological assistance to the population

The article substantiates the priority directions of optimization of the organization of outpatient coloproctological care to the population of the Perm Region. The purpose of the study is to substantiate the priority directions for optimizing the organization of outpatient coloproctological care to the population. Materials and methods. The data on the reasons for 4822 calls to outpatient polyclinic offices for specialized medical care in the profile of «Coloproctology» in the Perm Region in 2018, as well as about 2222 calls to the Center of Coloproctology with a day-long hospital stay were analyzed. Results. It is shown that the frequency of detection of DND in the center of coloproctology was 22.50%, with the frequency at polyclinic appointments‑11,83%, p<0,001. At polyclinic appointments, the frequency of detection of ZNO was 5,96%, in the center of coloproctology – 12,15%. The results obtained can be explained by the number and quality of diagnostic measures performed at the Coloproctology Center, which allows for almost complete coverage of all patients of the center with rigid rectoscopy – 98,38%, with 33,80% (at outpatient appointments (p<0,001). Sigmoscopy, which is not available in the coloproctologist’s offices at the Coloproctology Center, was performed in 7,02% of patients, FCS was performed in 34,29% of cases, compared to 9.49% in the polyclinic (p<0,001). The presence of an emergency appointment in the Center of Coloproctology explains the higher frequency of detection of acute hemorrhoids – 7,06%, versus 3,2% in polyclinics; acute paraproctitis – 2,29% and 0,62%, respectively; ECC – 1,53% and 0,5%, respectively; anal itching – 1,44% and 0,64%, respectively; proctitis – 0,99% and 0,16%, respectively; rectocele – 0,99% and 0,18%, respectively; injuries of the colon and rectum – 0,72% and 0,16%, respectively; anal insufficiency – 0,72% and 0,37%, respectively; p<0,005. Conclusions. The traditional model of providing outpatient coloproctological care (offices in polyclinics) is not effective even in diagnostics, since it does not have its own endoscopic and anesthesiological service, which significantly affects the volume and quality of the necessary studies. It is proposed to reorganize the service in order to organize a primary link on the basis of an outpatient coloproctology center with a day-long hospital, separate or at the coloproctology department of the State Clinical Hospital.

Initiation of Gender-Affirming Testosterone Therapy in a Lactating Transgender Man

Introduction: Transgender and gender diverse individuals may choose to provide their infants with human milk. Lactating transgender men may experience gender dysphoria and desire to initiate or reinitiate gender-affirming testosterone therapy. However, there is limited safety data regarding use of testosterone during lactation. Main Issue: A 30-year-old G2P2 transgender man with gender dysphoria sought to initiate gender-affirming testosterone therapy while lactating. Management: Subcutaneous testosterone was self-administered beginning at 13 months post-partum. We prospectively collected data on circulating testosterone concentrations in parent serum, milk, and infant serum over 5 months until the infant self-weaned. The infant was monitored for growth and development at routine pediatric outpatient appointments. Parent serum testosterone concentrations rose with the initiation of testosterone therapy, reaching therapeutic concentrations by Day 14. Milk testosterone concentrations also increased with a maximum concentration of 35.9 ng/dl when the lactating parent was on a dose of 80 mg subcutaneous testosterone cypionate weekly. The calculated milk/plasma ratio remained under 1.0 and the calculated relative infant dose remained under 1%. The infant had no observable side effects, and his serum testosterone concentrations remained undetectable throughout the study period. Conclusion: This is the first study with data regarding human milk and infant serum testosterone concentrations during the initiation of gender-affirming testosterone therapy in a lactating individual. This evidence can help families and clinicians with decisions regarding lactation and testosterone use.

695 Photo-otoscopy Audit: A Review of Change in Departmental Practice Due to COVID-19

Background Photo-otoscopy is a new service set up during the COVID-19 pandemic, with the view to minimise unnecessary appointments, protect vulnerable patients, and optimise efficiency of ENT-outpatient appointments. The objectives are to assess rate of diagnostic photos and investigate how to improve this service. Method First cycle was performed between June and July and second cycle between October and December 2020. All patients attending Audiology who had a photo taken were included. Photos were analysed based on a number of variables to identify the proportion of diagnostic and non-diagnostic photos. First cycle highlighted a few changes to practice that were then instigated for second cycle. Results 324 patients and 232 patients were included in first and second cycle respectively. 17 operators/audiologists were involved. There is slight improvement in percentage of diagnostic photos in second cycle compared to first (30.6% to 31.9% in right ear and 23.5% to 35.8% in left ear). Percentages of non-diagnostic photos with blurriness as sole reason have increased compared to first cycle. Percentages of non-diagnostic photos with all 3 variables present have reduced significantly. Mean percentage of acceptable photos per operator have also improved. 8 out of 10 ENT consultants/registrars found the service useful. Conclusions Rate of diagnostic photos remained low (&lt;40%) despite implementation of changes to practice from first cycle. 38% of non-diagnostic photos were wax-related. There is significant variation in rate of diagnostic photos due to its operator-dependent nature. Given the expansion of telemedicine, there is definitely scope for future development for photo-otoscopy.