Introduction: While the general uptake of e-mental health interventions remained low over the past years, physical distancing and lockdown measures relating to the COVID-19 pandemic created a need and demand for online consultations in only a matter of weeks.
Objective: This study investigates the uptake of online consultations provided by mental health professionals during lockdown measures in the first wave of the COVID-19 pandemic in the participating countries, with a specific focus on professionals' motivations and perceived barriers regarding online consultations.
Methods: An online survey on the use of online consultations was set up in March 2020. The Unified Theory of Acceptance and Use of Technology (UTAUT) guided the deductive qualitative analysis of the results.
Results: In total, 2082 mental health professionals from Austria, Belgium, Cyprus, France, Germany, Italy, Lebanon, Lithuania, the Netherlands, Norway, Portugal, Spain, and Sweden were included. The results showed a high uptake of online consultations during the COVID-19 pandemic but limited previous training on this topic undergone by mental health professionals. Most professionals reported positive experiences with online consultations, but concerns about the performance of online consultations in a mental health context (e.g., in terms of relational aspects) and practical considerations (e.g., relating to privacy and security of software) appear to be major barriers that hinder implementation.
Conclusions: This study provides an overview of the mental health professionals' actual needs and concerns regarding the use of online consultations in order to highlight areas of possible intervention and allow the implementation of necessary governmental, educational, and instrumental support so that online consultations can become a feasible and stable option in mental healthcare.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8350604 | PMC |
| http://dx.doi.org/10.1016/j.invent.2021.100405 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Comparison of two strategies estimating surgically induced astigmatism in position prediction of toric IOLs in 2.2 mm cataract surgery.
Graefes Arch Clin Exp Ophthalmol
December 2024
Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, No. 83 Fenyang Road, Shanghai, 200031, China.
Purpose: To compare the precision of the arithmetic mean of surgically induced astigmatism (M-SIA) and the centroid of surgically induced astigmatism (C-SIA) in estimating SIA when predicting the power and axis of toric IOLs under different circumstances.
Methods: 120 eyes of 99 patients undergoing toric IOL replacement in a simple cataract surgery were included in the retrospective study. The predicted position of toric IOL was calculated by Z Calc online calculator and Barrett Toric Calculator with M-SIA (0.
Self-monitoring of blood pressure following a stroke or transient ischaemic attack (TASMIN5S): a randomised controlled trial.
BMC Cardiovasc Disord
December 2024
School of Psychology, University of Southampton, Southampton, UK.
Background: Blood pressure (BP) control following stroke is important but currently sub-optimal. This trial aimed to determine whether self-monitoring of hypertension with telemonitoring and a treatment escalation protocol, results in lower BP than usual care in people with previous stroke or transient ischaemic attack (TIA).
Methods: Unblinded randomised controlled trial, comparing a BP telemonitoring-based intervention with control (usual care) for hypertension management in 12 primary care practices in England.
Evaluation of the integration of retrieval-augmented generation in large language model for breast cancer nursing care responses.
Sci Rep
December 2024
College of Nursing, Binzhou Medical University, Yantai, Shandong Province, China.
Breast cancer is one of the most common malignant tumors in women worldwide. Although large language models (LLMs) can provide breast cancer nursing care consultation, inherent hallucinations can lead to inaccurate responses. Retrieval-augmented generation (RAG) technology can improve LLM performance, offering a new approach for clinical applications.
View Article and Find Full Text PDFAssociation between e-health literacy and perceived importance of future pandemic preparedness in sub-saharan Africa.
Sci Rep
December 2024
School of Nursing, Johns Hopkins University, Baltimore, MD, USA.
Introduction: Emerging and re-emerging infectious diseases continue to pose a severe threat to public health in Sub-Saharan Africa (SSA) and globally. Community-related interventions, such as community e-Health literacy, can contribute to the preparedness to respond effectively to emerging and re-emerging infectious diseases. This study investigated the relationship between e-Health literacy and SSA countries' perceptions of the importance of readiness for potential pandemics.
View Article and Find Full Text PDFCauses and risk factors for stillbirth in India: A systematic review protocol.
Public Health
December 2024
Department of Data Science, Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India. Electronic address:
Objectives: Stillbirths, the tragic loss of a baby before or during delivery, presents a profound global health concern. Investigating the diverse causes and risk factors is essential to develop targeted interventions, enhance perinatal care, and reduce the incidence of this devastating outcome. The aim of this study was to identify the causes and possible risk factors of stillbirths in India.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!