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Samina Abidi



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  • OS06 - Advancing Frameworks for Patient Engagement (ID 6)

    • Event: e-Health 2017 Virtual Meeting
    • Type: Oral Session
    • Track: Clinical
    • Presentations: 1
    • Coordinates: 6/05/2017, 04:00 PM - 05:30 PM, Room 203CD

    • OS06.03 - Decision Support To Design Personalized Behavior Modification Plans for Diabetes (ID 182)

      Samina Abidi, Dalhousie University; Halifax/CA

      • Abstract
      • Slides

      Purpose/Objectives: The Canadian diabetes clinical practice guideline specifically recommends that diabetes patients should be assisted to self-manage their disease. Our objective is to implement a decision support environment to (a) empower Family Physicians (FP) to administer Behaviour Modification (BM) by helping them design personalized behaviour modification strategy for their patients; and (b) motivate patients to adhere to their BM strategy by monitoring and messaging so that they achieve efficacy to self-manage their condition at home. We present “Diabetes Web-Centric Information and Support Environment” (D-WISE) that features the following functionalities: (i) Assessment of FP readiness to administer BM interventions to patients; (ii) BM educational support to FP; (iii) Personalized self-management programs to help patients modify their behaviors; (iv) Monitoring the patient’s progress as per their BM program and motivating them to comply with it

      Methodology/Approach: D-WISE is grounded in Behavior Modification Models (the knowledge content) and Healthcare Knowledge Management (the knowledge translation method). We have computerized constructs of Social Cognitive Theory (SCT) and the BM protocols used by the Halifax Behaviour Change Institute (BCI) in terms of readiness assessment tools, BM strategies and corresponding educational material. D-WISE supports the patient to achieve BM for diabetes self-management by facilitating goal setting, behavior shaping, stimulus control and reinforcement management based on the SCT constructs. D-WISE assesses the readiness of patients and then accordingly guides them to specify their barriers and goals, thus ensuring that adherence to the BM strategy is feasible. Our BM approach is to: (i) assess FP’s readiness to administer behavior modification counselling to patients; (ii) guide FP to assess patient’s readiness and self-efficacy and then design a personalized behavior modification plan in a shared-decision making setting whereby patients set short-term behaviour goals and design a feasible action plan; (iii) motivate patients to achieve their goals through motivational messaging sent on their mobile phones. We employ a knowledge management approach that uses a BM ontology to model: Patient’s Medical Profile; FP Readiness Assessment to administer BM; Decisional Balance Assessment to measures positive and negative perceptions of FP and patients towards BM; Self-efficacy Assessment of the FP and the patient in providing/adhering to BM interventions; and Diabetes management knowledge as per Canadian clinical guidelines.

      Finding/Results: D-WISE is implemented as an interactive web-based system for physicians, whereas for patients their behaviour modification program is delivered through smart phones. D-WISE has been evaluated using a cognitive and usability engineering framework; both FP and patients evaluated using three case scenarios. Our results confirm the correctness of the BM content and user satisfaction.

      Conclusion/Implication/Recommendations: We present an innovative digital health based point-of-care BM application that operationalizes evidence-based BM models to generate personalized BM strategies for diabetes patients to help them self-manage their condition. D-WISE presents a unique shared decision making environment for both providers and patients to administer personalized BM interventions. Our BM approach is scalable in nature, such that can be readily applied other chronic diseases. As next step, we are working to deploy D-WISE in clinical settings and diabetes care centers in Halifax

      140 Character Summary: Digital health application targetting personalized behaviour modification for diabetes self-management

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