About Me
Research Interests
Machine Learning, Natural Language Processing, Data Visualization and Analytics, Big Data.
Publications
2015
Amina Russell; William Van Woensel; Samina Raza Abidi
The Shared Decision Making Frontier: Managing Non-Critical Chronic Illness by Combining Behavioural & Decision Theory with Online Technology Proceedings Article
In: MEDINFO 2015: eHealth-enabled Health, 2015.
Abstract | Links | BibTeX | Tags: Biomedical Technology Intervention, Choice Architecture, Chronic Illness, Shared Decision Making
@inproceedings{arussell-medinfo15,
title = {The Shared Decision Making Frontier: Managing Non-Critical Chronic Illness by Combining Behavioural & Decision Theory with Online Technology},
author = {Amina Russell and William Van Woensel and Samina Raza Abidi},
url = {http://web.cs.dal.ca/~woensel/paper/The Shared Decision Making Frontier a Feasibility and Usability Study for Managing Non-Critical Chronic Illness by Combining Behavioural & Decision Theory with Online Technology.pdf},
year = {2015},
date = {2015-09-19},
booktitle = {MEDINFO 2015: eHealth-enabled Health},
abstract = {Objective: To determine if shared decisions for managing non-critical chronic illness, made through an online biomedical technology intervention, proves feasible and usable. The technology intervention incorporates behavioural and decision theory to increase patient engagement, and ultimately long term adherence to health behaviour change.
Method: We devised the iheart web intervention as a “proof of concept” in five phases: 1) conceptual, 2) design, 3) application development, 4) testing and 5) study assessment. The implementation incorporates the Vaadin web application framework, Drools, EclipseLink and a MySQL database.
Results and discussion: Two-thirds of the study participants favoured the technology intervention, based on Likert-scale questions from a post-study questionnaire. Qualitative analysis of think aloud feedback, video screen captures and open-ended questions from the post-study questionnaire, uncovered six main areas or themes for improvement.
Conclusion: Online shared decisions for managing a non-critical chronic illness proved feasible and usable through the iheart web intervention. Areas needing improvement have been identified for the next application revision. An efficacy study is recommended as a next step.
},
keywords = {Biomedical Technology Intervention, Choice Architecture, Chronic Illness, Shared Decision Making},
pubstate = {published},
tppubtype = {inproceedings}
}
Objective: To determine if shared decisions for managing non-critical chronic illness, made through an online biomedical technology intervention, proves feasible and usable. The technology intervention incorporates behavioural and decision theory to increase patient engagement, and ultimately long term adherence to health behaviour change.
Method: We devised the iheart web intervention as a “proof of concept” in five phases: 1) conceptual, 2) design, 3) application development, 4) testing and 5) study assessment. The implementation incorporates the Vaadin web application framework, Drools, EclipseLink and a MySQL database.
Results and discussion: Two-thirds of the study participants favoured the technology intervention, based on Likert-scale questions from a post-study questionnaire. Qualitative analysis of think aloud feedback, video screen captures and open-ended questions from the post-study questionnaire, uncovered six main areas or themes for improvement.
Conclusion: Online shared decisions for managing a non-critical chronic illness proved feasible and usable through the iheart web intervention. Areas needing improvement have been identified for the next application revision. An efficacy study is recommended as a next step.
Method: We devised the iheart web intervention as a “proof of concept” in five phases: 1) conceptual, 2) design, 3) application development, 4) testing and 5) study assessment. The implementation incorporates the Vaadin web application framework, Drools, EclipseLink and a MySQL database.
Results and discussion: Two-thirds of the study participants favoured the technology intervention, based on Likert-scale questions from a post-study questionnaire. Qualitative analysis of think aloud feedback, video screen captures and open-ended questions from the post-study questionnaire, uncovered six main areas or themes for improvement.
Conclusion: Online shared decisions for managing a non-critical chronic illness proved feasible and usable through the iheart web intervention. Areas needing improvement have been identified for the next application revision. An efficacy study is recommended as a next step.
Amina Russell
Dalhousie University, http://hdl.handle.net/10222/56331, 2015.
Abstract | Links | BibTeX | Tags: Behavioural Change Theory, Choice Architecture, Decision Theory, Integrated Change Model, Internet Intervention, Knowledge Modelling, Lifestyle Medicine, Ontology Model, Shared Decision Making, Web Technology Intervention
@mastersthesis{MThesis-Amina,
title = {The Shared Decision Making Frontier: Managing Non-Critical Chronic Illness by Combining Behavioural & Decision Theory with Online Technology},
author = {Amina Russell},
url = {http://hdl.handle.net/10222/56331},
year = {2015},
date = {2015-04-07},
address = {http://hdl.handle.net/10222/56331},
school = {Dalhousie University},
abstract = {Shared decision making between patient and provider is considered the cornerstone of patient-centred care but transpires in only 10% of face-to-face encounters. Technology interventions have been explored as a means of filling the shared decision making gap but fall short in patient engagement. Recent studies indicate that combining multiple approaches could lead to greater commitment towards achieving positive health outcomes. The objective of this study is to demonstrate that a behavioural theory and decision theory can complement one another within a technology intervention for shared decision making. This novel approach integrates multiple theories within a single computerized ontology knowledge model that is flexible, expressive and extensible. A mixed method study assessed the solution using goal-based scenarios for hypertension reduction. Usability data was captured primarily using the “think aloud protocol”. Both quantitative and qualitative data were analyzed independently and in combination, revealing two-thirds of the study participants favoured the technology intervention.},
keywords = {Behavioural Change Theory, Choice Architecture, Decision Theory, Integrated Change Model, Internet Intervention, Knowledge Modelling, Lifestyle Medicine, Ontology Model, Shared Decision Making, Web Technology Intervention},
pubstate = {published},
tppubtype = {mastersthesis}
}
Shared decision making between patient and provider is considered the cornerstone of patient-centred care but transpires in only 10% of face-to-face encounters. Technology interventions have been explored as a means of filling the shared decision making gap but fall short in patient engagement. Recent studies indicate that combining multiple approaches could lead to greater commitment towards achieving positive health outcomes. The objective of this study is to demonstrate that a behavioural theory and decision theory can complement one another within a technology intervention for shared decision making. This novel approach integrates multiple theories within a single computerized ontology knowledge model that is flexible, expressive and extensible. A mixed method study assessed the solution using goal-based scenarios for hypertension reduction. Usability data was captured primarily using the “think aloud protocol”. Both quantitative and qualitative data were analyzed independently and in combination, revealing two-thirds of the study participants favoured the technology intervention.
2014
Amina Russell; Samina Raza Abidi; Syed Sibte Raza Abidi
Shared Decision Making: Using Technologies and Theories to Engage the Patient in their Health Journey Proceedings Article
In: 26th European Medical Informatics Conference (MIE2014), Istanbul, Turkey, 2014.
BibTeX | Tags: Behavioural Theory, Choice Architecture, Decision Theory, Integrated Change Model, Patient Empowerment, Shared Decision Making
@inproceedings{arussell-mie14,
title = {Shared Decision Making: Using Technologies and Theories to Engage the Patient in their Health Journey},
author = {Amina Russell and Samina Raza Abidi and Syed Sibte Raza Abidi
},
year = {2014},
date = {2014-09-01},
booktitle = {26th European Medical Informatics Conference (MIE2014)},
address = {Istanbul, Turkey},
keywords = {Behavioural Theory, Choice Architecture, Decision Theory, Integrated Change Model, Patient Empowerment, Shared Decision Making},
pubstate = {published},
tppubtype = {inproceedings}
}