Sushumna S Pradeep

@article{WHEELER20188,

title = {Feasibility and usability of an ontology-based mobile intervention for patients with hypertension},

author = {Tyler S Wheeler and Michael T Vallis and Nicholas B Giacomantonio and Samina R Abidi},

url = {http://www.sciencedirect.com/science/article/pii/S1386505618301710},

doi = {10.1016/j.ijmedinf.2018.08.002},

issn = {1386-5056},

year  = {2018},

date = {2018-11-01},

journal = {International Journal of Medical Informatics},

volume = {119},

pages = {8 - 16},

keywords = {Behaviour change, Chronic disease self-management, Hypertension, Mobile Health, Ontology},

pubstate = {published},

tppubtype = {article}

}

@article{Abidi:CanJDiabetes:2014,

title = {D-WISE: Diabetes Web-Centric Information and Support Environment: conceptual specification and proposed evaluation.},

author = {Samina Abidi and Michael Vallis and Syed Sibte Raza Abidi and Helena Piccinini-Vallis and Syed Ali Imran},

issn = {2352-3840},

year  = {2014},

date = {2014-01-01},

journal = {Can J Diabetes},

volume = {38},

number = {3},

pages = {205-11},

address = {Canada},

abstract = {OBJECTIVE: To develop and evaluate Diabetes Web-Centric Information and Support Environment (D-WISE) that offers 1) a computerized decision-support system to assist physicians to A) use the Canadian Diabetes Association clinical practice guidelines (CDA CPGs) to recommend evidence-informed interventions; B) offer a computerized readiness assessment strategy to help physicians administer behaviour-change strategies to help patients adhere to disease self-management programs; and 2) a patient-specific diabetes self-management application, accessible through smart mobile devices, that offers behaviour-change interventions to engage patients in self-management. METHODS: The above-mentioned objectives were pursued through a knowledge management approach that involved 1) Translation of paper-based CDA CPGs and behaviour-change models as computerized decision-support tools that will assist physicians to offer evidence-informed and personalized diabetes management and behaviour-change strategies; 2) Engagement of patients in their diabetes care by generating a diabetes self-management program that takes into account their preferences, challenges and needs; 3) Empowering patients to self-manage their condition by providing them with personalized educational and motivational messages through a mobile self-management application. The theoretical foundation of our research is grounded in behaviour-change models and healthcare knowledge management. We used 1) knowledge modelling to computerize the paper-based CDA CPGs and behaviour-change models, in particular, the behaviour-change strategy elements of A) readiness-to-change assessments; B) motivation-enhancement interventions categorized along the lines of patients' being ready, ambivalent or not ready; and C) self-efficacy enhancement. The CDA CPGs and the behaviour-change models are modelled and computerized in terms of A) a diabetes management ontology that serves as the knowledge resource for all the services offered by D-WISE; B) decision support services that use logic-based reasoning algorithms to utilize the knowledge encoded within the diabetes management ontology to assist physicians by recommending patient-specific diabetes-management interventions and behaviour-change strategies; C) a mobile diabetes self-management application to engage and educate diabetes patients to self-manage their condition in a home-based setting while working in concert with their family physicians. RESULTS: We have been successful in creating and conducting a usability assessment of the physician decision support tool. These results will be published once the patient self- management application has been evaluated. CONCLUSIONS: D-WISE will be evaluated through pilot studies measuring 1) the usability of the e-Health interventions; and 2) the impact of the interventions on patients' behaviour changes and diabetes control},

keywords = {Behaviour Modelling, Behavioural Theory, Diabetes Management, Health Informatics, Mobile Health, Patient Education},

pubstate = {published},

tppubtype = {article}

}