Presentation at the 2nd Patient Safety Congress, 29 Mar 2019. PICC, Manila.

1. FACEBOOK & PATIENT SAFETY
IRIS THIELE ISIP TAN MD, MSC
Professor 3, University of the Philippines College of Medicine
Director, UP Manila Interactive Learning Center
Chief, University of the Philippines Medical Informatics Unit

2. NOTHING TO DISCLOSE
I give consent for the audience to tweet this talk
and give me feedback (@endocrine_witch).
Feel free take pictures of my slides (though it
will be on www.slideshare.net/isiptan).

3. 1
Filipinos are using
Facebook to look for
health information.

4. Pei-Li Teh & Marc Yates (2013)
researchpartnership.com
Nine in ten had accessed the internet looking
for healthcare information, with almost 3/4s
having done so in the last month.

5. GENERAL HEALTHCARE WEBSITES
ONLINE HEALTH FORUMS
HEALTH COMMUNITY WEBSITES
DISEASE WEBSITES
CLINICAL WEBSITES
PHARMACEUTICAL WEBSITES
WIKIS
E-NEWSLETTER
FACEBOOK
%
0 25 50 75 100
HEALTH INFORMATION SOURCES EVER USED
Pei-Li Teh & Marc Yates (2013)
researchpartnership.com
(Philippines)
25%

6. www.fb.com/EndocrineWitch
144 K followers

11. www.fb.com/EndocrineWitch
DOK BRU

12. Do cultural variations exist in patterns of
online health information seeking?
Song et al. Trusting Social Media as a Source of Health Information: Online Surveys
Comparing the United States, Korea, and Hong Kong. J Med Internet Res 2016;18(3):e25)
US
Hong Kong
Korea

13. HEALTH INFORMATIONSong et al. J Med Internet Res 2016;18(3):e25)
Expertise-based information
produced by medical professionals
Experience-based information
laypersons’ subjective first-hand
experiences of health & illness

14. HEALTH INFORMATIONSong et al. J Med Internet Res 2016;18(3):e25)
Expertise-based information
Americans showed a stronger
preference for WebMD & CDC
Experience-based information
Asians showed more trust in
blogs, online support groups &
social networking sites

15. 2
Filipinos are using
Facebook for peer-to-
peer healthcare.

16. … the average person with
diabetes spends no more
than 0.1% of their time in
the course of an entire year
discussing health matters
with a medical
professional.
Hernandez M. Diabetes Manage. 2013;3(3):203-205
“

18. Lewinski AA & Fisher EB. Chronic Illness 2016 Chronic Illness 12(2):116-144.
Interactions are not constrained by
geographical limitations.

22. 3
How can Facebook be
used to get reliable health
information to patients?

29. Rus HM & Cameron LD. Ann Behav Med 2016;50(5):678-689.
Content analysis of health communications
posted on diabetes-related Facebook pages
(n=10; 50 posts each)
Coding categories:
•illness representation
information (identity, cause,
consequence, control, and timeline),
imagery
•negative affect
•positive affect
•social support
•positive identity
•crowdsourcing
•use of external links and
videos

30. Illness Representations, Coping, and Illness Outcomes in People with Cancer: A Systematic Review and Meta-Analysis: Systematic
Review Illness Representations in Cancer - Scientific Figure on ResearchGate. Available from: https://www.researchgate.net/figure/
The-common-sense-model-of-self-regulation-of-health-and-illness-Leventhal-et-al-1980_fig1_305344696 [accessed 27 Dec, 2018]
THE COMMON SENSE MODEL OF
SELF-REGULATION AND ILLNESS

31. Rus HM & Cameron LD. Ann Behav Med 2016;50(5):678-689.
HYPOTHESIS
Illness
representation,
imagery, positive
affect, social
support and
positive self-
identity —> higher
user engagement
(likes, shares,
comments)
Negative affect
will deter
engagement

32. Rus HM & Cameron LD. Ann Behav Med 2016;50(5):678-689.
Posts with imagery had
4.25 times more likes vs
posts without imagery

33. Rus HM & Cameron LD. Ann Behav Med 2016;50(5):678-689.
IMAGERY AND USER ENGAGEMENT
LIKES

34. Rus HM & Cameron LD. Ann Behav Med 2016;50(5):678-689.
SHARES

35. Rus HM & Cameron LD. Ann Behav Med 2016;50(5):678-689.
ILLNESS REPRESENTATION
ATTRIBUTES AND USER ENGAGEMENT
Symptoms and timeline
information did not
predict user engagement
Shared/liked
more: control
information
Shared more:
consequence
information

36. Rus HM & Cameron LD. Ann Behav Med 2016;50(5):678-689.
AFFECTIVE TONE AND USER ENGAGEMENT
Positive affect did not predict higher
engagement.
Text-only messages with negative affect had
relatively higher likes and comments.

37. Reach: 1.3M
Engagements: 167,526

38. SOCIAL SUPPORT & POSITIVE IDENTITY
AND USER ENGAGEMENT
Rus HM & Cameron LD. Ann Behav Med 2016;50(5):678-689.
Social support posts prompt
comments
Positive identity posts
motivate users to share the
message with others

39. Rus HM & Cameron LD. Ann Behav Med 2016;50(5):678-689.
EXTERNAL LINKS AS AN
ENGAGEMENT STRATEGY
55% of posts had external
links
Had lower user
engagement

40. HOW TO PACKAGE
MESSAGES ON
SOCIAL MEDIA
Logan A. Community hypertension programs in the age of mobile
technology & social media. Am J Hypertension 2014;27(8): 1033-1035

41. What is the optimal size for an online network
for a behavioral intervention?
Pagoda S. et al. Adapting Behavioral Interventions for Social Media Delivery
J Med Internet Res 2016;18(1):e24

42. What is the ideal structure of a group intervention?
Pagoda S. et al. Adapting Behavioral Interventions for Social Media Delivery
J Med Internet Res 2016;18(1):e24

43. Pagoda S. et al. Adapting Behavioral Interventions for Social Media Delivery
J Med Internet Res 2016;18(1):e24
WHAT IS MEANINGFUL
ENGAGEMENT?

44. FOR
WHOM?
Pagoda S. et al. Adapting Behavioral Interventions for Social Media Delivery
J Med Internet Res 2016;18(1):e24

45. @endocrine_witch