This study aimed to explore the experiences of alcohol and other drug nurses transitioning to telehealth due to the COVID-19 pandemic.
COVID-19 has caused immense disruption to healthcare services, and to reduce viral transmission, many services moved to off-site care delivery modalities such as telehealth.
The COVID-19 pandemic has forced many practitioners to shift their practice online, using telemedicine to treat Opioid Use Disorder. This has allowed for the continuity of essential care whilst adhering to the social distancing guidelines, which protect people from the spread of infection.
Supporting Access to Telehealth for Addiction Services: Regulatory Overview and General Practice Considerations
Digital Health: A Strategy to Maintain Health Care for People Living with Noncommunicable Diseases during COVID-19
Noncommunicable diseases (NCDs) are the main cause of death and disability worldwide. Effective management of these chronic conditions depends largely on continuous, responsive, accessible, and quality services and successful patient engagement and self-management.
As telehealth expands across the country in response to COVID-19, behavioral health providers are having to rapidly train up and transition staff with limited or little experience in delivering services remotely.
The Chilean chapter of ISSUP invites you to participate in a webinar on 'Telemedicine: Challenges in the Practice of Mental Health' that will be held next Tuesday, April 14, 2020 at 9:30 hrs (Chile time).
On behalf of the Nursing and Healthcare Committee, it gives us a great pleasure to announce Nursing and Healthcare 2020 scheduled on July 29-30, 2020 in Berlin, Germany.
An Electronic Screening and Brief Intervention for Hazardous and Harmful Drinking Among Swedish University Students: Reanalysis of Findings From a Randomized Controlled Trial Using a Bayesian Framework
Background: Due to a resurgent debate on the misuse of P values, the Journal of Medical Internet Research is hosting a standing theme issue inviting the reanalysis of (primarily digital health) trial data using a Bayesian framework.