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Patient-Centered Care

Patient-Centered Care. Unit 9: Patient-Oriented Data Analytics. Lecture a – Methods for Patient Engagement.

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Patient-Centered Care

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  1. Patient-Centered Care Unit 9: Patient-Oriented Data Analytics Lecture a – Methods for Patient Engagement This material (Comp 25 Unit 9) was developed by The University of Texas Health Science Center at Houston, funded by the Department of Health and Human Services, Office of the National Coordinator for Health Information Technology under Award Number 90WT0006. This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/.

  2. Patient-Oriented Data AnalyticsLearning Objectives – Lecture a • Objective 1: Compare and contrast advanced methods of patient engagement, including social media, apps, patient portals, patient health records (PHRs), and other tools • Objective 2: Format clinical information for maximum patient understanding • Objective 3: Employ effective methods for engaging with patients regarding data analytics • Objective 4: Summarize key considerations for the collection of patient-reported outcome data • Objective 5: Delineate the benefits and challenges of utilizing patient satisfaction data for analytics • Objective 6: Identify the most appropriate data methods for reporting on the patient experience of care

  3. What Is the best method? • EHR patient portal? • Smartphone apps? • Social media? • Texting or email? • Personal Health Record (PHR)? • Paper? • What is the goal? • What method does the patient want?

  4. Goal-Oriented Methods • Providing patient with information • Leaflet or brochure • Video, in office or online, see the Mayo Clinic YouTube “Patient Experience” video series: https://www.youtube.com/watch?v=YsN9kT-620o • Patient Portal from EHR • Social Media

  5. Goal-Oriented Methods (cont’d) • Information and encouraging the patient to take action • Pre-visit form for patient to complete • Web-based decision aid • Smartphone app providing feedback • Information, action, and patient-provider communication • Option Grids and Decision Boxes – shared decision making • Texting or email, as long as it’s bi-directional • Anything that supports the patient and provider communicating effectively

  6. Maximizing Patient Understanding • What are your patients asking for, constantly? • LESS really is more – what do you want the patient to pay attention to? • Must be relevant and meaningful – behavior beats technology • Understandable at a glance – drill down for detail if wanted • Be careful about the medical terminology

  7. Patients and Data Analytics • It’s still about communication. • Patients who feel connected: • Participate in their care • Adhere to their treatment • Exercise increased self-management

  8. Increasing Patient Attention to the Data • Listen to the patient and/or their family. • Present the data in an understandable format • Visual • Verbal • Engage the patient/family in the decision-making process • Treat the patient/family and their values and beliefs with respect

  9. Unit 9: Patient-Oriented Data AnalyticsSummary – Lecture a • Effective patient engagement and communication • Respectful • Uses the patient preferences for communication • Clear and understandable • Relevant and meaningful

  10. Unit 9: Methods for Patient EngagementReferences – Lecture a Grande, S.W., Faber, M.J., Durand, M.A., Thompson, R., and Elwyn, G. (2014). A classification model of patient engagement methods and assessment of their feasibility in real-world settings. Patient Education and Counseling. 95. 281-287. Institute for Healthcare Communication. (2011). Impact of Communication in Healthcare Retrieved June1, 2016, from http://healthcarecomm.org/about-us/impact-of-communication-in-healthcare/

  11. Patient-Oriented Data AnalyticsMethods for Patient EngagementLecture a This material was developed by The University of Texas Health Science Center at Houston, funded by the Department of Health and Human Services, Office of the National Coordinator for Health Information Technology under Award Number 90WT0006.

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