Background: Emergency telehealth has been used to improve accessibility of rural and remote patients to specialist care. Evidence to date has demonstrated effectiveness and cost-effectiveness of telehealth in rural and remote emergency departments within a variety of contexts. However, systematic reviews to date have not focused on the rural and remote emergency departments. The purpose of this study is to review the outcome measures used in evaluations of emergency telehealth in rural and remote settings and assess evidence relating to their effectiveness and cost-effectiveness.

Methods: Randomised controlled trials, non-randomised controlled trials, and full and partial economic evaluations (e.g. cost-effectiveness, cost-benefit, and cost-utility analyses) of telehealth in rural and remote emergency departments will be included. Comprehensive literature searches will be conducted in multiple electronic databases (from 1990 onwards): MEDLINE (Ovid), Cochrane Library, Scopus, CINAHL, ProQuest, EconLit, CRD databases (e.g. NHS Economic Evaluation database), and Tufts Cost-Effectiveness Registry. Two authors will independently screen all citations, full-text articles, and abstract data. The methodological quality (or risk of bias) of individual studies will be appraised using an appropriate tool. A systematic narrative synthesis will be provided with information presented in the text and tables to summarise and explain the characteristics and findings of the studies. If feasible, we will conduct random effects meta-analysis.

Discussion: This review will identify gaps in the current body of evidence relating to the effectiveness and cost-effectiveness of rural and remote emergency telehealth services. By confining to articles written in the English language, this analysis may be subjected to publication bias and results need to be interpreted accordingly. We believe the results of this review could be valuable for the design of future economic evaluations of emergency telehealth services implemented in the rural and remote context.

Systematic Review Registration: PROSPERO CRD42019145903.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7164257PMC
http://dx.doi.org/10.1186/s13643-020-01349-yDOI Listing

Publication Analysis

Top Keywords

rural remote
32
remote emergency
20
telehealth rural
16
emergency departments
16
emergency telehealth
16
effectiveness cost-effectiveness
12
cost-effectiveness telehealth
8
rural
8
remote
8
emergency
8

Similar Publications

Hospital Level of Service, Rural-Urban Location, and Neonatal Resuscitation Interventions: A Population Study in Alberta Canada from 2000-2020.

Resuscitation

January 2025

Department of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada; Alberta Health Services, Alberta, Canada; Centre for the Studies of Asphyxia and Resuscitation, Neonatal Research Unit, Royal Alexandra Hospital, Edmonton, Alberta, Canada. Electronic address:

Background And Objectives: Advanced neonatal resuscitation interventions (ANRIs) are rarely performed for late preterm and term infants. However, healthcare providers in community hospitals may need to perform ANRIs, while having limited experience and resources. Understanding practice differences between hospitals of different levels of service (LoS) and rural/urban location may inform quality improvement.

View Article and Find Full Text PDF

Background: Longitudinal cohort studies have traditionally relied on clinic-based recruitment models, which limit cohort diversity and the generalizability of research outcomes. Digital research platforms can be used to increase participant access, improve study engagement, streamline data collection, and increase data quality; however, the efficacy and sustainability of digitally enabled studies rely heavily on the design, implementation, and management of the digital platform being used.

Objective: We sought to design and build a secure, privacy-preserving, validated, participant-centric digital health research platform (DHRP) to recruit and enroll participants, collect multimodal data, and engage participants from diverse backgrounds in the National Institutes of Health's (NIH) All of Us Research Program (AOU).

View Article and Find Full Text PDF

Territorial obstacles causing early school dropout in Morocco: Multivariate spatial analysis.

Heliyon

January 2025

Laboratory of Social and Solidarity Economy Governance and Development (LARESSGD), Department of Economics, Faculty of Law Economics and Social Sciences, Cadi Ayyad University, Marrakech, Morocco.

Early school dropout rates in Morocco exhibit widespread spatial imbalances leading to adverse consequences. Indeed, there is thus a pressing need to investigate the factors contributing to the phenomenon. To this end, this study conducts a multivariate spatial analysis of 75 provinces in Morocco.

View Article and Find Full Text PDF

Introduction: Perceived social support is a psychological construct that is used to describe the 'perception of adequacy' of the support being provided by a person's social network. Higher perceived social support has been linked to multiple benefits across numerous studies over the past several decades and among multiple populations. The Multidimensional Scale of Perceived Social Support (MSPSS) is a 12-item scale to assess the construct of perceived social support.

View Article and Find Full Text PDF

Objective: Community-engaged immersive rural experiences were limited during the COVID-19 pandemic when online learning was instigated across medical institutions globally. This study aimed to explore the impact of online learning on medical students' satisfaction levels and intentions to practice in a rural area after graduation.

Design, Setting And Participants: We conducted a natural quasi-experimental longitudinal retrospective cross-sectional study during 2011-2022 for all Australian domestic medical students who undertook a Rural and Remote Medicine (RRM) placement at the University of Queensland.

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!