The incidence of sexually transmitted diseases has been on the rise in our setting for decades. These infections represent not only an individual problem, but also a problem of public health. Therefore, the management of STDs involves reducing community incidence, which means that common issues in the clinical practice such as failure to attend may become a more complex problem, which adds to the difficult and delicate task of locating sexual contacts that would benefit from screening and the appropriate treatment. On the other hand, STDs have direct legal implications in cases of underage patients, or suspected sexual assault. Therefore, the correct handling of these scenarios requires knowledge of the legal framework that regulates them. Dermatologists are clinically trained and prepared to deal with these conditions. Nonetheless, the legal issues involved are often difficult to solve. This document stands as a simple reference guide to help solve the main legal issues we may encounter in a consultation when dealing with STDs.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic paved the way for telehealth consultations. We aimed to determine the impact of telehealth on rates of failure to attend (FTA) in adult congenital heart disease (ACHD) clinics and whether telehealth could re-engage patients with previous FTA face-to-face appointments.
METHODS: This was a retrospective audit of a tertiary ACHD clinic over a 12-month pre-telehealth (26 March 2019-17 March 2020) and 12-month post-telehealth implementation period (24 March 2020-16 March 2021). Patients with one or more FTAs during the 24-month study period were included. Our ACHD clinic is run three times per month. Patients with ACHD are offered lifelong follow-up and reviewed annually on average. Re-engagement was defined as two or more consecutive face-to-face FTAs immediately before the telehealth period with subsequent attendance of their telehealth appointment.
RESULTS: A total of 359 patients with a total of 623 FTAs were included. Complexity of congenital heart disease was moderate in 56% (202/359) and severe in 19% (69/359) of patients. Overall FTA rate was 18% (623/3,452). FTA rate was significantly lower in the post-telehealth period (15%, 257/1,664) compared with the pre-telehealth period (20%, 366/1,788) (p<0.00001). At study conclusion, 1% of patients had died (5/359). Of the 354 remaining patients, 42% (150/354) were considered lost to follow-up (two or more FTAs including telehealth), 37% (132/354) missed only one clinic appointment, and 20% (72/354) previously considered lost to follow-up had re-engaged in the telehealth period.
CONCLUSIONS: Rates of FTA in a tertiary ACHD clinic significantly reduced after the introduction of telehealth consultation. A fifth of patients considered lost to follow-up were re-engaged with telehealth. Additional strategies to further reduce FTA should be explored.

BACKGROUND: COVID-19 has impacted lives worldwide. Public health guidance has advocated for minimisation of infection risk by encouraging social isolation and physical distancing. In response, many health services have changed delivery practices to increased use of telehealth. We undertook an audit of hospital attendance data collected from a radiation oncology service in a large public hospital in Victoria, Australia between January and September in 2019, and the same period in 2020. The aim was to discern the impact of COVID-19 on attendance at appointments and whether attendance rates differed by appointment type.
METHODS: Attendance data and appointment type for the two targeted periods (a total of 62,528 appointments for 3383 patients) were extracted from the database maintained by the radiation oncology service. Logistic generalised estimating equation (GEE) models were run with the final model including the COVID-19 period (pre, during) and all patient and appointment characteristics.
RESULTS: Results indicated a small decrease in attendance in 2020 (OR = 1.13, 95% CI 1.01-1.25, P = 0.026) with this predominantly reported for the non-treatment appointments, which consisted of follow-up appointments, nurse appointments, and treatment review appointments.
CONCLUSIONS: Attendance for radiation oncology treatment was largely unaffected by COVID-19 although other services experienced slight reductions. Changes to work practices, specifically the increased use of telehealth, may have moderated the impact. Given the focus on one service in one location, it is not possible to generalise these results and future research should closely monitor both patient and staff satisfaction with services delivered via modified processes.

BACKGROUND: Non-attendance and inappropriate referrals affect the effective and efficient running of healthcare services. Non-engagement with speech and language therapy (SLT) services may lead to negative long-term consequences for children in need of SLT intervention. Currently there is a dearth of research on non-attendance and non-engagement with SLT services.
OBJECTIVE: To identify factors associated with (1) non-attendance and (2) parents\' non-engagement with SLT services.
METHODS: Demographic data were collected from 140 case files of children (aged 5;0-17;11 years) discharged from a public community SLT service (November 2011-October 2013) with no intervention provided. Logistic regression analyses explored relationships between demographic data and (1) non-attendance and (2) non-engagement with the SLT service.
RESULTS: There was an increased probability of non-attendance during winter (i.e. September-February inclusive; OR = 3.14; p = 0.028) relative to summer, and with each month a child waited for SLT assessment (OR = 1.19; p = 0.066). There was decreased probability of non-attendance with children referred for speech (OR = 0.08; p = 0.011) or language difficulties (OR = 0.15; p = 0.050) relative to dysfluency. The probability of non-engagement with the SLT service increased in each of the following conditions: with each month a child waited for assessment (OR = 1.27; p = 0.004); in urban (OR = 2.40; p = 0.066) relative to rural locations; during winter (OR = 2.65; p = 0.021) relative to summer; and with referrals made by occupational therapists, physiotherapists, psychologists and social workers (OR = 18.65; p = 0.016) relative to doctor referrals.
CONCLUSIONS: Non-attendance is influenced by wait times, season and the reason for referral. Location (urban versus rural), referral source, wait times and season are factors related to non-engagement with SLT services. Targeted policies to improve efficiency and effectiveness of SLT services could be designed around these study findings.