Presentation Transcript
Overcoming Communication Barriers in the Care of Diverse Patients: The IDEALL Project: Overcoming Communication Barriers in the Care of Diverse Patients: The IDEALL Project Dean Schillinger MD Hali Hammer MD
Jorge Palacios MA Ivonne McLean
Audrey Tang FNP Michelle Schneiderman MD
Christine Ho MD Ben Lui MD
Alex Li MD Margaret Handley MPH, PhD
UCSF Primary Care
Research Center,
San Francisco
General Hospital
Improving Diabetes Efforts Across Language & Literacy: Improving Diabetes Efforts Across Language & Literacy Family Health Center, General Medicine Clinic, Chinatown Health Center,
UCSF Collaborative Research Network
Supported by The Commonwealth Fund, The California Endowment,
AHRQ, California Health Care Foundation, and the SF Department of Public Health
Background: Background Health systems place high literacy and language demands on patients
Growing body of evidence linking communication barriers to outcomes
Interactive communication can affect outcomes
Little is known about the extent to which population-based approaches can successfully engage high-risk patients with diabetes
Public-sector settings rarely have systematic disease mgmt programs tailored to vulnerable populations
Slide4: Health Literacy Level Associated with Diabetes Outcomes (Tight Control: HbA1c7.2%) (Poor Control: HbA1c>9.5%) Adjusted OR=0.57, p=0.05 Adjusted OR=2.03, p=0.02 Schillinger JAMA 2002
Diabetes Patients with Limited Health Literacy Experience Lower Quality Communication: Diabetes Patients with Limited Health Literacy Experience Lower Quality Communication (Often/Always) (Often/Always) (Often/Always) (Never/Rarely/ Sometimes) OR=3.2;p<0.01 OR=3.3;p=0.02 OR=2.4;p=0.02 OR=1.9;p=0.04 32% 13% 13% 13% 26% 21% 33% 20% Schillinger Pt Ed 2004
Slide6: Poor adherence
Inadequate self-care
Poor self-management
Poor problem solving skills
Low self-efficacy
Inability to navigate system
Power/advocacy
Trust in health system
Environmental: nutrition air quality physical activity safety occupational risks
Poverty/scarcity
Poor understanding of disease processes
Poor recall/comprehension of advice and instructions
Passive Communication
Non-disclosure of FHL problem
Non-traditional health beliefs
Low self-efficacy Framework for Limited Health Literacy & Poor Health Outcomes COMMUNITY-LEVEL FACTORS WORSE CLINICAL OUTCOMES WORSE FUNCTIONAL OUTCOMES HIGHER UTILIZATION OF SERVICES INEFFECTIVE VISIT-BASED CLINICIAN-PATIENT COMMUNICATION INEFFECTIVE HOME-BASED MONITORING & CLINICAL SUPPORT Insurance
Provider availability
Navigation of health bureaucracy Schillinger,
IOM 2004
Aims: Aims Develop, implement and evaluate diabetes self- management support strategies tailored to the literacy and language needs of patients in a public delivery system
Focus on self-care and patient-generated action plans using one of two models:
Assistive Technology Model: Automated Telephone Disease Management (ATDM)
Interpersonal Model: Group Medical Visits (GMV)
Describe patient engagement with the process and activities generated by each approach
Automated Telephone Disease Management (ATDM): Automated Telephone Disease Management (ATDM) Interactive touch tone response technology
Weekly surveillance & health education (39 weeks=9 mos)
In patients’ preferred language (English, Spanish or Cantonese)
Generates weekly reports of out-of-range responses
Live phone follow-up through a bilingual nurse
Group Medical Visits (GMV’s): Group Medical Visits (GMV’s) 6-10 patients in monthly group meetings (9 months)
In patients preferred language (English, Spanish, or Cantonese)
Facilitated by a bilingual health educator and a primary care provider
A pharmacist present at end of each group visit
Encourage patients to become active in self-care through participatory learning and peer education
Slide10: Randomize Patients w/HbA1c>8.0 & Administer Baseline Questionnaires
(n= 399) 6-10 Patients
Health Educator
Primary Care
Physician Usual Care
(n= 133) Monthly Group Medical Visits Clinic (n= 133) Weekly Interactive Technology (n= 133) Nurse Care Manager Primary Care Physician Weekly
ATDM Patient Cantonese-Speaking Group English-Speaking Group Spanish-Speaking Group Administer Follow-Up Questionnaires (Satisfaction, Self-Care, Self-Efficacy, Functional Status, Glycemic Control, Utilization) IDEALL PROJECT OVERVIEW
Preliminary Research Questions: Preliminary Research Questions To what extent do ATDM and GMV’s engage patients?
To what extent do these self-management support interventions generate activities that could improve clinical outcomes?
Can a patient-activated telephonic surveillance system identify threats to patient safety and promote safer practice?
Methods: Methods Documentation of clinical interactions via standardized electronic records
Clinical database review performed
Compare rates of Patient Engagement and Activities Generated by the ATDM call-backs and GMV’s, overall and stratified.
Unit of analysis = individual patient
Review ATDM records to quantify and describe potential adverse events identified
Unit of analysis = individual ATDM encounter
Preliminary Results – 8/2004: Preliminary Results – 8/2004 554 patients approached
71 refused to participate
89 ineligible for study
27 deferred enrollment
47 still “in the pipeline”
293 patients enrolled and randomized
Only 15% “non-Hispanic white”
55% with limited health literacy
58% with limited English proficiency
Mean HbA1C = 9.8%
Measures of Engagement: Measures of Engagement Attended 1 Session** Returned 1 Call Calls completed Attended GMV “Moderate”/ “Full” Participation Generated callbacks ATDM GMV
Literacy*, Language, and Engagement: Literacy*, Language, and Engagement *Literacy was only assessed among English and Spanish speakers
Activities Generated : Activities Generated 100 0
Promoting Patient Safety – ATDM sample: Promoting Patient Safety – ATDM sample Can a patient-activated telephonic surveillance system identify threats to patient safety and promote safer practice among vulnerable patients?
10 patients x 9 months
34 disclosures of potentially unsafe situation
30 potentially adverse events prevented
Preliminary Conclusions: Preliminary Conclusions Both self-management support interventions:
generate significant levels of patient engagement and clinical activity
Patients with limited health literacy and/or limited English proficiency appear more likely to engage
May be useful adjuncts to improve the care of high risk patients in a public health setting
Levels of engagement and kinds of activities generated may vary by type of intervention,
Pharmacological management
Psychosocial concerns
ATDM may serve an additional surveillance function to promote patient safety
Next Steps: Next Steps Continue enrollment and expand to other sites in San Francisco:
Chinatown and Silver Avenue Health Centers
Examine effects of ATDM and GMV on:
patient satisfaction and self-efficacy
self-management activities
glycemic control
relative resource use
Expand descriptive study of patient safety
Examine contextual factors associated with patient engagement and effectiveness, both quantitatively and qualitatively