Face-to-face versus telehealth consultations during COVID-19 in australian general practice: comparison of medication prescribing

BackgroundThere has been a precipitous rise telehealth use in general practice during the COVID-19 pandemic. Understanding differences between face-to-face and telehealth consulting is an important component for planning the future use of telehealth services beyond the pandemic. However, there is limited evidence on whether telehealth consulting impacts medication prescribing under pandemic circumstances.AimTo compare medication prescribing in face-to-face versus telehealth consultations during the COVID-19 pandemic in Australian general practice.Design and SettingThis multisite, retrospective observational study used de-identified routinely collected electronic health data extracted from 806 general practices in Victoria and New South Wales (NSW), Australia between April-December 2020.MethodThe primary outcome measure was whether at least one medication was prescribed following a telehealth or face-to-face consultation. Data are reported by medication and for each of the Anatomical Therapeutic Chemical (ATC) Classification System level one groups. The secondary outcome measure was first-time prescribing. Telehealth included both telephone and video consultations.ResultsA total of 13,608,216 consultations satisfied the inclusion criteria (61% face-to-face and 39% telehealth). Most telehealth consultations were conducted via telephone (97.8%). Overall, 39.3% of face-to-face and 33.0% of telehealth consultations prescribed at least one medication– a statistically significant difference (adjusted OR 1.38; 95% CI 1.379–1.381). The prescribing rate was greater for face-to-face vs telehealth consultations for all drug groups except ATC level 1N (nervous system).ConclusionUnder COVID-19 restrictions in the states of Victoria and NSW, Australia, medication prescribing was higher in face-to-face consultations when compared to telehealth consultations in the study population.

Potentially Inappropriate Medication Prescribing Detected by Computer Algorithm among Older Patients: Results from the MAPT Study

(1) Background: Some medications may be dangerous for older patients. Potentially inappropriate medication prescribing (PIP) among older patients represents a significant cause of morbidity. The aim of this study was to create an algorithm to detect PIP in a geriatric database (Multidomain Alzheimer Preventive Trial (MAPT) study), and then to assess the algorithm construct validity by comparing the prevalence of PIP and associated factors with literature data. (2) Methods: An algorithm was constructed to detect PIP and was based on different explicit criteria among which the European list of potentially inappropriate medications (EU(7)-PIM), the STOPP and START version 2 tools. For construct validity assessment, logistic mixed-effects model repeated measures analyses were used to identify factors associated with PIP. (3) Results: Prevalence of PIP was 59.0% with the EU(7)-PIM list criteria, 43.2% with the STOPP criteria and 51.3% with the START criteria. Age, polypharmacy, and higher Charlson comorbidity index were associated with PIP. (4) Conclusions: Prevalence of PIP and associated factors are consistent with literature data, supporting the construct validity of our algorithm. This algorithm opens up interesting perspectives both in terms of analysis of very large databases and integration into e-prescribing or pharmaceutical validation software.

Optimization of Nutrition And Medication (OptiNAM) for acutely admitted older patients: protocol for a randomized single-blinded controlled trial

Background Internationally, older patients (≥65 years) account for more than 40% of acute admissions. Older patients admitted to the emergency department (ED) are frequently malnourished and exposed to inappropriate medication prescribing, due in part to the inaccuracy of creatinine-based equations for estimated glomerular filtration rate (eGFR). The overall aims of this trial are to investigate: (1) the efficacy of a medication review (MED intervention) independent of nutritional status, (2) the accuracy of eGFR equations based on various biomarkers compared to measured GFR (mGFR) based on 99mTechnetium–diethylenetriaminepentaacetic acid plasma clearance, and (3) the efficacy of an individualized multimodal and transitional nutritional intervention (MULTI-NUT-MED intervention) in older patients with or at risk of malnutrition in the ED. Methods The trial is a single-center block randomized, controlled, observer-blinded, superiority and explorative trial with two parallel groups. The population consists of 200 older patients admitted to the ED: 70 patients without malnutrition or risk of malnutrition and 130 patients with or at risk of malnutrition defined as a Mini Nutritional Assessment-Short Form score ≤11. All patients without the risk of malnutrition receive the MED intervention, which consists of a medication review by a pharmacist and geriatrician in the ED. Patients with or at risk of malnutrition receive the MULTI-NUT-MED intervention, which consists of the MED intervention in addition to, dietary counseling and individualized interventions based on the results of screening tests for dysphagia, problems with activities of daily living, low muscle strength in the lower extremities, depression, and problems with oral health. Baseline data are collected upon study inclusion, and follow-up data are collected at 8 and 16 weeks after discharge. The primary outcomes are (1) change in medication appropriateness index (MAI) score from baseline to 8 weeks after discharge, (2) accuracy of different eGFR equations compared to mGFR, and (3) change in health-related quality of life (measured with EuroQol-5D-5L) from baseline to 16 weeks after discharge. Discussion The trial will provide new information on strategies to optimize the treatment of malnutrition and inappropriate medication prescribing among older patients admitted to the ED. Trail registration ClinicalTrials.gov NTC03741283. Retrospectively registered on 14 November 2018.

197 Perioperative Diabetic Medication Prescribing- Adherence to Local Guidelines

Aim Optimization of diabetic medications around the time of operation is critical to avoid complications, hence we aimed to conduct an audit to review perioperative diabetic medication prescribing. Method Drug charts for peri-operative cardiac and thoracic patients were reviewed retrospectively on Medchart, a local electronic system used for prescribing medications. The omission or adjustment of oral anti-diabetic medications and insulin prescriptions were recorded. Results Over a one-month period, the prescriptions of 104 patients were recorded with an average age of 65.8 and out of which 21 patients were diabetic. Conclusions Our Audit demonstrated errors in perioperative diabetic medication prescribing. We focused our intervention by circulating a poster depicting the guidelines around the doctors and ANP offices. We did a re-audit in two months’ time to check the adherence. These are the findings we found in the re-audit for 101 patients: -