Background: Despite growing evidence for the effectiveness of digital cardiac rehabilitation (CR) uptake of this technology remains low. Understanding the factors that influence implementation of digital CR in clinical practice is a growing area of research. The aim of this nested qualitative study was to explore health worker perspectives on factors influencing implementation of a digital CR programme.
Methods: Using convenience sampling, semi-structured interviews were conducted with health workers, including health care professionals (nurses, dietitians, physiotherapists) and those in administrative and managerial roles who were involved in delivering and referring patients to Croí MySláinte, a 12-week digital CR intervention delivered during the Coronavirus 2019 pandemic. The updated Consolidated Framework for Implementation Research (CFIR) guided data collection and framework analysis.
Results: Interviews were conducted with 14 health workers. Factors influencing implementation of Croí MySláinte were multiple, with some operating independently and others in combination. They related to: (i) characteristics of individuals (e.g., senior leadership support, commitment and motivation of Health workers to meet patient needs, technical capability, workload and perceived fit with role); (ii) features of the programme (e.g., accessibility and convenience for patients, the digital platform, patient self- monitoring tools, the multidisciplinary team and core components); (iii) the external environment (e.g., partnership and connections between organisations, broadband and COVID-19); (iv) the internal environment (e.g., organisational culture, teamwork, resources including funding, digital infrastructure and staffing); and (v) the implementation process (e.g., engaging patients through provision of technical support).
Conclusion: The study findings suggest that factors influencing implementation of digital CR operate at multiple levels. Therefore, multi-level implementation strategies are required if the true potential of digital health in improving equitable cardiac rehabilitation access, participation and patient outcomes is to be realised.
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http://dx.doi.org/10.12688/hrbopenres.13929.1 | DOI Listing |
Sci Rep
December 2024
College of Economics and Management, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
In light of the Chinese government's dual carbon goals, achieving cleaner production activities has become a central focus, with regional environmental collaborative governance, including the management of agricultural carbon reduction, emerging as a mainstream approach. This study examines 268 prefecture-level cities in China, measuring the carbon emission efficiency of city agriculture from 2001 to 2022. By integrating social network analysis and a modified gravity model, the study reveals the characteristics of the spatial association network of city agricultural carbon emission efficiency in China.
View Article and Find Full Text PDFIn this paper, we studied the diffusion characteristics and distribution patterns of gas leakage in soil from buried natural gas pipelines. The three-dimensional simulation model of buried natural gas pipeline leakage was established using Fluent software. Monitoring points of gas leakage mole fraction were set up at different locations, and the influence of buried depth and pressure factors on the mole fraction and diffusion of leaked gas was analyzed.
View Article and Find Full Text PDFSci Rep
December 2024
School of Physical Education, Shanghai University of Sport, Shanghai, 200438, China.
Objective: This study aimed to examine the levels of physical activity (PA), sleep, and mental health (MH), specifically depression, anxiety, and stress, among Chinese university students. It also aimed to analyze the influencing factors of MH, providing a theoretical foundation for developing intervention programs to improve college students' mental health.
Methods: A stratified, clustered, and phased sampling method was employed.
Sci Rep
December 2024
Department of Environmental Management and Toxicology, Michael Okpara University of Agriculture, Umudike, Nigeria.
The geochemical and chemical constituents of river water quality could be influenced by human activities and organic processes like water interacting with the lithogenic structure that the river flows through. Evaluating evidence based primary root of the predominant pollutant ions, their interactions as well as the factors controlling their dominance is crucial in studies regarding water environment and hydrology especially as most studies focus on theoretical methods. In order to understand the water cycle, safeguard surface water resources, and preserve the human environment, this study evaluated surface water hydro-chemical facies, quality dynamics, and portability in southern Nigeria using multivariate statistical approaches by analyzing selected hydro-chemical characteristics as indicators of pollution along the river during wet and dry seasons.
View Article and Find Full Text PDFNat Commun
December 2024
School of Civil & Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
Per- and polyfluoroalkyl substances (PFASs) have recently garnered considerable concerns regarding their impacts on human and ecological health. Despite the important roles of polyamide membranes in remediating PFASs-contaminated water, the governing factors influencing PFAS transport across these membranes remain elusive. In this study, we investigate PFAS rejection by polyamide membranes using two machine learning (ML) models, namely XGBoost and multimodal transformer models.
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