Text for Figures and Slides in TB Behavioral
and Social Science Research Forum Proceedings
PSYCHOSOCIAL, SOCIAL STRUCTURAL, AND ENVIRONMENTAL
DETERMINANTS OF TUBERCULOSIS CONTROL
Donald E. Morisky, Sc.D., M.S.P.H., Sc.M.
Professor, Department of Community Health Sciences
UCLA School of Public Health
Slide #1: Psychosocial, Social
Structural, and Environmental Determinants of TB Control
Donald E. Morisky, Sc.D., M.S.P.H., Sc.M.
Professor and Program Director for Social and Behavioral Determinants
of AIDS and Tuberculosis Training
Department of Community Health Sciences
UCLA School of Public Health
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Slide #2: Issues of Noncompliance
- Typically associated with homelessness, drug or alcohol abuse
and/or minimal educational achievement
- Multiple drug resistant TB (MDR-TB)
- Cited as the major cause of the increase in incidence rates
of TB
- Directly Observed Treatment -- Short Course (DOTS)
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Slide #3: Methods
R (Site 1)
E1 - Educational counseling;
E2 - Incentives/rewards;
E3 - Combination of E1 and E2;
Site 2
C - Usual care
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Slide #4: Methods
- A total of 241 patients were randomly assigned to one of three
intervention groups or the control.
- The patients were followed throughout their treatment program.
Cognitive and behavioral outcome markers were used to assess the
effectiveness of the educational intervention.
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Slide #5: Three Categories of Factors
Contributing to Compliance to an Anti-Tuberculosis Regimen
Compliance to an anti-tuberculosis regimen involves:
Cognitive Factors
- Knowledge
- Beliefs
- Values
- Attitudes
Environmental Factors
- Availability/Accessibility to Care
- Travel to Health Facility
- Walking Time
- Health Related Skills
- Complexity of Medical Regimen
Reinforcing Factors
- Family
- Peers
- Employer
- Health Care Provider
- Health Educator
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Slide #6: Demographic (For all
eligible participants interviewed (N=241)
| Survey Item |
Distribution |
| Male |
63% |
| Hispanic Ethnicity |
62% |
| Black Ethnicity |
25% |
Spanish-speaking
|
60% |
| Unemployed |
63% |
Education < High School graduate
|
55%
|
Annual Family Income < $10,000
|
42%
|
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Slide #7: Length of Care for Participants
in Program (average weeks)
Intervention Groups (n=60)
- Education = 32.27 wks
- Incentives = 37.13 wks
- Combined = 31.96 wks
Control Group (n=61)
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Slide #8: Intervention Effects
Between Baseline Interview and Exit Interview
Knowledge Scale:
Intervention Group
|
Percentage Difference
(Post-test vs Pre-test)
|
p - value
(Paired t-test) |
C - Control
|
+ 1.5% |
.860 |
E1 - Education |
+ 31.7% |
.009** |
E2 - Incentives |
+ 20.5% |
.059 |
| E3 - Combined |
+ 26.7% |
.046* |
* p < 0.05
** p < 0.01
Medication Compliance:
Intervention Group
|
Percentage Difference
(Post-test vs Pre-test)
|
p - value
(Paired t-test) |
C - Control
|
+ 9.7% |
.47 |
E1 - Education |
+ 26.5% |
.006** |
E2 - Incentives |
+ 14.1% |
.067 |
| E3 - Combined |
+ 16.7% |
.061 |
* p < 0.05
** p < 0.01
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Slide #9: Cost per Completed Case
Intervention Groups:
- Education (n=61) = $1,647.50
- Incentives (n=60) = $1,770.70
- Combined (n=60) = $2,070.80
Control Group (n=60)
ANOVA: p=0.04
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Slide #10: Appointment-Keeping
Behavior for Participants
Control = 84.30%
All interventions = 89.70%
p=0.04
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Slide #11: Average Weeks of Treatment
Until Completion of Care
Control = 38.4 wks
All interventions = 32.9 wks
p=0.04
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Slide #12: Factors to consider for drop
out rates
- Ethnic Background
- Sex
- Unemployment
- Homeless
- Drug Use
- HIV
- Primary Language
- Marital Status
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Slide #13: Adolescent TB Program
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Slide #14: Why Focus on Adolescents ?
- Incidence of TB increases at adolescence1
- Adolescents more susceptible to active TB2
- Time interval between infection and development of active disease
is shorter3
- Adherence among adolescents
- Starke, JR. Infectious diseases of health significance among
children and adolescents in Texas. Texas Med 90:35-45, 1994.
- Wilcox WD, Laufer S. Tuberculosis in Adolescents. A Case Commentary.
Clinical Pediatrics,1994; 33:258-262. Smith MHD. Tuberculosis
in adolescents. Clinical Pediatrics, 1967; 6:9-15.
- McCue M, Afifi LA. Using peer helpers for tuberculosis prevention.
J Am College Health 1996 Jan, 44(4):173-6.
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Slide #15: Background of TB Study
- Rationale: Preventive TB treatment study
- Sites:Long Beach and Inglewood Public Health Clinics
- Participants: Ethnically diverse adolescents aged 11-19 years
old (n=794)
- Randomized in 4 treatment groups (peer counseling only, incentive
only, combination of peer counseling and incentive, usual care)
- Procedure-Face to face interviews, baseline and 6 month follow-up
- The present report only includes foreign-born adolescents (80%
of study population)
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Slide #16: Independent Variables
- Socio-demographic variables
- Clinic related variables (e.g. waiting time)
- High-risk behaviors (alcohol, drug use, gang membership, incarceration)
- Psycho-social variables (self-esteem, mastery, self-efficacy)
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Slide #17: Model of Study Group Design
– Intervention Experimental Design
Recruitment Baseline Interview and Randomization (n=880)
¯ -Peer Counseling (n=220)
-Contingency Contracting (n=220)
-Combined Peer and Parent Intervention (n=220)
-Usual Care (n=220)
¯ Follow to treatment completion
or drop-out
¯ Final interview
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Slide #18: Quasi-Experimental/Control
Design Study for Adolescent Participants at Baseline Surveys (Recruitment:
July 1996 – October 1997)
Recruitment: Baseline Interview and Randomization (Baseline N=390)
(Los Angeles: n=191; Long Beach: n=199)
¯ E1-Peer Counseling (Baseline
n=94)
E2-Contingency Contracting (Baseline n=100)
E3-Peer Counseling and Contingency Contracting (Baseline n=96)
C-Standard Care (Control); (Baseline n=100)
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Slide #19: Theoretical Conceptual Framework
-Knowledge
-Attitudes
-Beliefs
-Self Efficacy
-Behavioral Intention
-Subjective Norms
¯ Increased Compliance
¯ Tuberculosis Prevention
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Slide #20: Characteristics of Foreign-born
Adolescents
- 20% failed to complete treatment
- 45% live with both parents
- 78% rate their health as good
- 2% are gang members
- 23% are sexually active
- 8% report a history of incarceration
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Slide #21: Factors Associated with Completion
of Care
- Age (OR=0.85; 95% CI: .76-.85)
- Asian ethnicity (OR=3.37; 95% CI .99-.11.44)
- Living with both parents (OR=2.13; 95% CI: 1.37-3.31)
- Speaking only English with parents (OR=0.34; 95% CI: .16-.74)
- Sexually active (OR=0.43; 95% CI: .28-.68)
- Gang member (OR=0.26; 95% CI: .07-.87)
- Incarceration (OR=0.50; 95% CI: .26-.94)
- Medication taking behavior (OR=1.25; 95% CI: 1.14-1.37)
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Slide #22: Independent Predictors of Completion
of Care
- Medication taking behavior (OR=1.28; 95% CI:1.16-1.41)
- Living with both parents (OR=1.87; 95% CI:1.08-3.25)
- Sexual intercourse (OR=0.54; 95% CI-.31-.94)
- Speaking mostly or only English with parents (OR=.34; 95% CI
.12-.91)
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Slide #23: Recommendations
- Need to collect more specific information
- Encourage clinic procedures that increase compliance
- Recruit supportive family members /friends to facilitate treatment
- Future research should focus on foreign-born adolescent populations
in various regions of the US
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Slide #24:
Individual Determinants of Compliance
-
Understanding the medical regimen
-
Belief in the benefits of treatment
-
Positive attitudes regarding treatment
-
High levels of self esteem and self efficacy
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Slide #25:
Environmental Determinants of Compliance
-
Family member reinforcement in the home
-
Good patient/provider communication
-
Systematic approaches for patient monitoring,
follow up and reinforcement
-
Convenience of picking up medication from
the clinic
-
Use of pill containers and cueing behaviors
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Slide #26:
Individual/Environmental Determinants of Completion
of Care
-
Regular appointment-keeping behavior
-
High levels of adherence
-
Community health workers
-
Reinforcement of positive behaviors by health
care staff
-
Peer counselors to clarify health concerns
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