Tracing interpersonal discursive features in Australian nursing bedside handovers: Approachability features, patient engagement and insights for ESP training and working with internationally trained nurses

2022 ◽  
Vol 66 ◽  
pp. 17-32
Author(s):  
Maria R. Dahm ◽  
Diana Slade ◽  
Bernadette Brady ◽  
Liza Goncharov ◽  
Laura Chien
Keyword(s):  
2013 ◽  
Author(s):  
D. Glenn ◽  
D. Golinelli ◽  
R. D. Rose ◽  
P. Roy-Byrne ◽  
M. B. Stein ◽  
...  

Author(s):  
Karandeep Singh Singh ◽  
Kaitlin Drouin Drouin ◽  
Lisa P. Newmark Newmark ◽  
Ronen Rozenblum Rozenblum

2020 ◽  
Author(s):  
Juqing Zhao ◽  
Pei Chen ◽  
Guangming Wan

BACKGROUND There has been an increase number of eHealth and mHealth interventions aimed to support symptoms among cancer survivors. However, patient engagement has not been guaranteed and standardized in these interventions. OBJECTIVE The objective of this review was to address how patient engagement has been defined and measured in eHealth and mHealth interventions designed to improve symptoms and quality of life for cancer patients. METHODS Searches were performed in MEDLINE, PsychINFO, Web of Science, and Google Scholar to identify eHealth and mHealth interventions designed specifically to improve symptom management for cancer patients. Definition and measurement of engagement and engagement related outcomes of each intervention were synthesized. This integrated review was conducted using Critical Interpretive Synthesis to ensure the quality of data synthesis. RESULTS A total of 792 intervention studies were identified through the searches; 10 research papers met the inclusion criteria. Most of them (6/10) were randomized trial, 2 were one group trail, 1 was qualitative design, and 1 paper used mixed method. Majority of identified papers defined patient engagement as the usage of an eHealth and mHealth intervention by using different variables (e.g., usage time, log in times, participation rate). Engagement has also been described as subjective experience about the interaction with the intervention. The measurement of engagement is in accordance with the definition of engagement and can be categorized as objective and subjective measures. Among identified papers, 5 used system usage data, 2 used self-reported questionnaire, 1 used sensor data and 3 used qualitative method. Almost all studies reported engagement at a moment to moment level, but there is a lack of measurement of engagement for the long term. CONCLUSIONS There have been calls to develop standard definition and measurement of patient engagement in eHealth and mHealth interventions. Besides, it is important to provide cancer patients with more tailored and engaging eHealth and mHealth interventions for long term engagement.


2021 ◽  
Vol 8 ◽  
pp. 237437352098148
Author(s):  
Surachat Ngorsuraches ◽  
Semhar Michael ◽  
Nabin Poudel ◽  
Gemechis Djira ◽  
Emily Griese ◽  
...  

The study objective was to (1) develop a statistical model that creates a novel patient engagement score (PES) from electronic medical records (EMR) and health claim data, and (2) validate this developed score using health-related outcomes and charges of patients with multiple chronic conditions (MCCs). This study used 2014-16 EMR and health claim data of patients with MCCs from Sanford Health. Patient engagement score was created based on selected patients’ engagement behaviors using Gaussian finite mixture model. The PES was validated using multiple logistic and linear regression analyses to examine the associations between the PES and health-related outcomes, and hospital charges, respectively. Patient engagement score was generated from 5095 patient records and included low, medium, and high levels of patient engagement. The PES was a significant predictor for low-density lipoprotein, emergency department visit, hemoglobin A1c, estimated glomerular filtration rate, hospitalization, and hospital charge. The PES derived from patient behaviors recorded in EMR and health claim data can potentially serve as a patient engagement measure. Further study is needed to refine and validate the newly developed score.


2021 ◽  
Vol 24 (2) ◽  
pp. 491-506
Author(s):  
Lidewij Eva Vat ◽  
Teresa Finlay ◽  
Paul Robinson ◽  
Giorgio Barbareschi ◽  
Mathieu Boudes ◽  
...  

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