Upload
zaviera-nunez
View
26
Download
1
Embed Size (px)
DESCRIPTION
Targeting and Tailoring Health Care Messages. Suzanne Bakken, RN, DNSc School of Nursing and Department of Medical Informatics Columbia University New York, NY 10032. Purpose. Review principles of targeting and tailoring health care messages Illustrate principles and steps with examples - PowerPoint PPT Presentation
Citation preview
Targeting and Tailoring Health Care Messages
Suzanne Bakken, RN, DNSc
School of Nursing and Department of Medical Informatics
Columbia University
New York, NY 10032
Purpose
• Review principles of targeting and tailoring health care messages
• Illustrate principles and steps with examples– CAP-IT– MI Heart– HeartCare
• Describe medical informatics vs. content-specialist roles and challenges
Definitions
• Targeting - intended to reach a specific subgroup of the population typically based upon demographic characteristics – Culturally-sensitive video on cervical screening
resulted in in Pap smear in Latinas (Yancey & Walden, 1994)
• Personalized - use of name to draw attention to a generic message (Kreuter et al, 2000)
Definitions• Tailoring - intended to reach a specific
individual based on unique characteristics related to the outcome of interest and obtained through an assessment or profile (Kreuter et al, 2000)
– Within ethnicity-diversity when exposed to a culturally-similar (CSV) and culturally-dissimilar video for HIV/AIDS intervention
– Only CSV effective in African American youths who scored themselves as “know a lot about AIDS” (Stevenson et al., 1995)
Level of Assessment (Kreuter et al, 2000)
Generic communication
Targeted communication
Personalized communication
Tailored communication
Interpersonalcommunication
Not assessmentbased
Based on Assessment ofindividuals
Co
nte
nt
of
Co
mm
un
ica
tio
n
gene
ricin
divi
dual
ized
Where is the State of the Art in Diabetes Care?
Rationale for Tailoring• Based upon elaboration likelihood model (Petty et al, 1994)
• Superfluous information is eliminated• Information is perceived as more personally relevant• Persons may pay more attention to information they
perceive as personally relevant• Personally relevant + attended to is more likely to lead to
thoughtful consideration of actors related to behavior change• Personally relevant + attended to + thoughtful consideration
will be more useful to help enact desired behavior change (Kreuter et al, 2000)
RCTs of Tailored vs. Non-tailored Health Messages
• Dietary Change
• Smoking Cessation
• Physical activity
• Mammography
• Weight control
• Cholesterol screening
• Nutritional label reading
Tailored vs. Non-tailored Health Messages Are More Likely To:
• Catch attention
• Be saved
• Be discussed with others
• Be perceived by readers as interesting
• Be perceived by readers as personally relevant
• Be perceived by readers as personally written for them
Steps in the Tailoring Process
• Analyze the health problem• Develop a program framework• Develop a tailored assessment• Design feedback• Write tailored messages• Create tailoring algorithms• Automate tailoring process• Implement the program• Evaluate the program
Steps in the Tailoring Process
• Analyze the health problem• Develop a program framework• Develop a tailored assessment• Design feedback• Write tailored messages• Create tailoring algorithms• Automate tailoring process• Implement the program• Evaluate the program
Examples
• CAP-IT
• MI Heart
• HeartCare
Example
• Client Adherence Profiling and Intervention Tailoring RCT (Holzemer & Bakken, NR04846)
• To compare CAP-IT vs. standard care on:– HAART adherence rates– CD4 count, viral load, viral resistance– Quality of life– Health services utilization
Steps in the Tailoring Process
Analyze the health problem Develop a program framework• Develop a tailored assessment• Design feedback• Write tailored messages• Create tailoring algorithms• Automate tailoring process• Implement the program• Evaluate the program
Ickovics & Meisler Framework (1997)
ClientCharacteristics
TreatmentRegimen
Client-ProviderRelationship
Clinical Setting Disease
Substance use
Sociodemographics
Psychosocial factors– perceivedtreatment efficacy,regimen knowledge,intent to adhere,perceived cost &benefits, socialsupport
Trial phase andassignment
Regimen durationand complexitySide effects
Adequacy oftreatment regimen
Client perceptions ofprovider’s technicalskill
Affective tone ofrelationship
CommunicationOverall satisfaction
Transportation
Child care
Clinical environment
Scheduling
Confidentiality
Symptomatology
Immunologic status
Steps in the Tailoring Process
• Analyze the health problem• Develop a program framework Develop a tailored assessment• Design feedback• Write tailored messages• Create tailoring algorithms• Automate tailoring process• Implement the program• Evaluate the program
CAP-IT Intervention RCT
• Client Adherence Profiling (CAP)– Client characteristics
– Knowledge about medication regimen– Knowledge about side effects and symptom
management of side effects– Self-care behaviors
– Treatment complexity
– Engagement with provider
– Support systems
Steps in the Tailoring Process
• Analyze the health problem• Develop a program framework• Develop a tailored assessment Design feedback Write tailored messages Create tailoring algorithms• Automate tailoring process• Implement the program• Evaluate the program
CAP-IT Intervention RCT
• Intervention Tailoring (IT)– At least one intervention from each category
based upon nursing diagnosis
In CAP-IT, this is done by nursing judgment, not by algorithm
Potential Gains from an Informatics Approach• Automatic scoring of profile from tailored assessment
• Standardized selection of interventions based upon score using decision support rules
• Measurement of and ability to measure “dose” of intervention
• Data re-use (e.g., from CIS)
• Resource re-use (content re-used from message library)
• 24 x 7 availability
Potential Downsides from an Informatics Approach
• Access, digital divide issues
• Computer literacy
• Literacy and health literacy
• Where is provider in the loop?
Information-Technology-Based Patient Education for Decreasing Prehospital Delay of Patients Presenting
with Acute Myocardial Infarct: The MI-HEART Project
James J. Cimino, MD, Principal Investigator
Rita Kukafka, DrPH
Yves A. Lussier, MD
Vimla L.Patel, PhD
Department of Medical Informatics, Columbia University
Supported by National Library of Medicine and the National Heart, Lung and Blood Institute N01-LM3534
Research Design and Methods: Overview
• Randomized, controlled trial• 300 patients will be recruited and randomized
into one of three groups• Follow-up at 1, 3, and 6-months
Research Design and Methods: Outcomes
• Likelihood of action (seeking help in response to symptoms) as reported by patients
• Changes in attitudes and beliefs associated with
patient delay
MI-HEART Tailoring Variables
Demographics
Health history• Diabetes• Angina
Family History
Variables associated
with increased delay• Somatic and emotional
awareness• Expectation of
symptoms• Perceived threat• Self-efficacy• Response efficacy
Online QuestionnaireMedical Record
Computer-Related• font size
• display
HeartCare Project
• Post-operative CABG care
• Web TV interface
• Web page with access to relevant resources– Targeted information: based upon phase
of the recovery process– Tailored information: based upon nurse
interview during hospitalization (Brennan et al)
Tailoring Recovery Resources to Patients
• Establishing the tailoring model– Patient Profiles– Access (TM) database
• Delivering WWW resources ‘on-the-fly’, across the recovery period– Active server pages sorting nurse-
identified or developed WWW pages
Discussion
• What are potential areas of focus for computer-based educational and behavioral interventions?
• Which of the current barriers to education could potentially be addressed through computer-based approaches?
Discussion• What are factors that have been used or could be
used to target educational and behavioral change interventions?
• What are factors that have been used or could be used to tailor educational and behavioral change interventions?
• Which of these factors are routinely collected and stored in electronic form?
• How can such approaches extend the provider and yet engage the client?
Areas for Medical Informatics Contribution
• Security and confidentiality of the data
• Knowledge representation for re-use– Standardized assessments– Clinical terminology– Logic for decision support– Sharable message libraries
• User interface