Patient Centered Care

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 Analytics
Learning 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
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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 Analytics
Summary – 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 Engagement
References – 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 June 1, 2016, from http://healthcarecomm.org/about-us/impact-of-
communication-in-healthcare/
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11. Patient-Oriented Data Analytics
Methods for Patient Engagement
Lecture 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.
11