Background: Telephone-based digital triage is widely used by services that provide urgent care. This involves a call handler or clinician using a digital triage tool to generate algorithm-based care advice, based on a patient's symptoms. Advice typically takes the form of signposting within defined levels of urgency to specific services or self-care advice. Despite wide adoption, there is limited evaluation of its impact on service user experience, service use and clinical outcomes; no previous systematic reviews have focussed on services that utilise digital triage, and its impact on these outcome areas within urgent care. This review aims to address this need, particularly now that telephone-based digital triage is well established in healthcare delivery.

Methods: Studies assessing the impact of telephone-based digital triage on service user experience, health care service use and clinical outcomes will be identified through searches conducted in Medline, Embase, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Web of Science and Scopus. Search terms using words relating to digital triage and urgent care settings (excluding in-hours general practice) will be used. The review will include all original study types including qualitative, quantitative and mixed methods studies; studies published in the last 20 years and studies published in English. Quality assessment of studies will be conducted using the Mixed Methods Appraisal Tool (MMAT); a narrative synthesis approach will be used to analyse and summarise findings.

Discussion: This is the first systematic review to evaluate service user experience, service use and clinical outcomes related to the use of telephone-based digital triage in urgent care settings. It will evaluate evidence from studies of wide-ranging designs. The narrative synthesis approach will enable the integration of findings to provide new insights on service delivery. Models of urgent care continue to evolve rapidly, with the emergence of self-triage tools and national help lines. Findings from this review will be presented in a practical format that can feed into the design of digital triage tools, future service design and healthcare policy.

Systematic Review Registration: This systematic review is registered on the international database of prospectively registered systematic reviews in health and social care (PROSPERO 2020 CRD42020178500 ).

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805218PMC
http://dx.doi.org/10.1186/s13643-021-01576-xDOI Listing

Publication Analysis

Top Keywords

digital triage
36
urgent care
24
telephone-based digital
20
service user
16
user experience
16
clinical outcomes
16
systematic review
12
service clinical
12
service
9
care
9

Similar Publications

Background: The integration of artificial intelligence (AI)-based pharmaceutical services in community pharmacy (CP) settings has the potential to enhance point-of-care services and improve informed patient access to healthcare. The Pneumoscope™, an innovative AI-powered digital stethoscope that analyses lung sounds to detect specific respiratory pathologies, could be a valuable tool for pharmacists in conducting respiratory screening. To understand how this device can be implemented in the healthcare system, this exploratory research aims to assess the acceptability of pharmacists and patients, and the pharmacists' readiness to use the Pneumoscope™ in CPs for respiratory disease management.

View Article and Find Full Text PDF

Objective: Adolescence marks a time of transition where teenagers are learning to advocate for themselves. In those with underlying chronic conditions such as adolescent dysautonomia, improving communication between clinic visits may improve connection with their health care provider which may aide management. Our aims were as follows: (1) to implement a text message platform to increase communication between adolescent patients and health care provider (HCP); (2) to evaluate its effect on quality of life (QoL), symptom burden, and patient engagement; and (3) to determine patient satisfaction with the platform.

View Article and Find Full Text PDF

Mapping the landscape of Hospital at home (HaH) care: a validated taxonomy for HaH care model classification.

BMC Health Serv Res

January 2025

Institute Patient-Centered Digital Health, Bern University of Applied Sciences, Quellgasse 21, Biel, 2502, Switzerland.

Background: Hospital at home (HaH) care models have gained significant attention due to their potential to reduce healthcare costs, improve patient satisfaction, and lower readmission rates. However, the lack of a standardized classification system has hindered systematic evaluation and comparison of these models. Taxonomies serve as classification systems that simplify complexity and enhance understanding within a specific domain.

View Article and Find Full Text PDF

Community isolation of patients with communicable infectious diseases limits spread of pathogens but our understanding of isolated patients' needs and challenges is incomplete. Rwanda deployed a digital health service nationally to assist public health clinicians to remotely monitor and support SARS-CoV-2 cases via their mobile phones using daily interactive short message service (SMS) check-ins. We aimed to assess the texting patterns and communicated topics to better understand patient experiences.

View Article and Find Full Text PDF

Background: Telehealth services are becoming increasingly popular at primary healthcare centres. Some examples include text-based digital triage and health guidance using chats, emails, images and pre-filled forms. Telephone-based communication has until recent years been the predominant means for triage and health guidance, but now includes written communication via computer or smartphone.

View Article and Find Full Text PDF

Want 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!