Trustbusters: The Prevalence and Predictors of Trust Violations in American Medicine - PowerPoint PPT Presentation

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Trustbusters: The Prevalence and Predictors of Trust Violations in American Medicine

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Bradford H. Gray, New York Academy of Medicine. June 7, 2004. Trust in the Health Care System ... First stage: predicted expectations of plan and hospital performance ... – PowerPoint PPT presentation

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Title: Trustbusters: The Prevalence and Predictors of Trust Violations in American Medicine


1
Trustbusters The Prevalence and Predictors of
Trust Violations in American Medicine
  • Mark J. Schlesinger, Yale University
  • Nicole C. Quon, Yale University
  • Bradford H. Gray, New York Academy of Medicine
  • June 7, 2004

2
Trust in the Health Care System
  • Trust is important
  • Qualitative literature
  • Quantitative literature
  • Our study
  • Develops conceptual model
  • Estimates psychological predictors of loss of
    trust
  • Uses these predictors to explain socio
    -demographic differences in loss of trust

3
A Conceptual Model of Disrupted Trust
4
A Conceptual Model of Disrupted Trust
At the Individual Level A Three Stage Process

5
A Conceptual Model of Disrupted Trust
At the Individual Level A Three Stage Process
6
A Conceptual Model of Disrupted Trust
At the Individual Level A Three Stage Process

7
A Conceptual Model of Disrupted Trust
At the Individual Level A Three Stage Process
8
A Conceptual Model of Disrupted Trust
At the Individual Level A Three Stage Process
At the Collective Level Two Mediating
Institutions
9
A Conceptual Model of Disrupted Trust
At the Individual Level A Three Stage Process
At the Collective Level Two Mediating
Institutions -- Role of regulations and
government involvement -- Role of markets and
consumer empowerment
10
Data and Methods
  • Consumer assessment dataset
  • Experiences with hospitals (n2746)
  • Experiences with health plans (n4969)
  • Binary dependent variables on loss of trust
  • Two stage logistic model
  • First stage predicted expectations of plan and
    hospital performance
  • Second stage used predicted expectations and
    other explanatory variables to explain loss of
    trust

11
A Conceptual Model of Disrupted Trust
At the Individual Level A Three Stage Process
12
Predictors of Loss of Trust 1 Assessment of
Problem
13
Predictors of Loss of Trust 1 Assessment of
Expectations
14
Predictors of Loss of Trust 1 Assessment of
Problem
p-valuelt.01, p-value lt0.05, p-value lt0.10
15
Predictors of Loss of Trust 1 Assessment of
Expectations
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16
A Conceptual Model of Disrupted Trust
At the Individual Level A Three Stage Process

17
Predictors of Loss of Trust 2 Interpretation of
Problem
18
Predictors of Loss of Trust 2 Interpretation of
Problem
p-valuelt.01, p-value lt0.05, p-value lt0.10
19
A Conceptual Model of Disrupted Trust
At the Individual Level A Three Stage Process
20
Predictors of Loss of Trust 3 Adaptation of
Problem
21
Predictors of Loss of Trust 3 Adaptation of
Problem
p-valuelt.01, p-value lt0.05, p-value lt0.10
22
A Conceptual Model of Disrupted Trust
At the Individual Level A Three Stage Process
At the Collective Level Two Mediating
Institutions -- Role of regulations and
government involvement -- Role of markets and
consumer empowerment
23
Predictors of Loss of Trust 4 Institutional
ContextRegulations and Markets
24
Predictors of Loss of Trust 4 Institutional
ContextRegulations and Markets
p-valuelt.01, p-value lt0.05, p-value lt0.10
25
Explaining Demographic Differences in Loss of
Trust
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26
Explaining Demographic Differences in Loss of
Trust
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27
Explaining Demographic Differences in Loss of
Trust
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28
Key Conclusions
  • Resilience of trust is a function of both
    expectations and experiences
  • Psychological predictors of trust are very
    different for hospitals and health plans
  • Choice bolsters trust in health plans and
    hospitals but perceived regulations have no
    impact
  • Psychological predictors can explain some but not
    all differences in loss of trust

29
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30
First Stage Model Predictors
  • Socio-demographic characteristics
  • Age
  • Gender
  • Education
  • Income
  • Marital status
  • Born in the United States
  • English is primary language spoken at home
  • Family size
  • Full time work, part time work
  • Worked in the health care sector
  • Health status
  • Other characteristics
  • Type of insurance
  • Features of health plan closed system, primary
    care provider, gatekeeping, pre-approval
  • Patient prefers to make own medical care
    decisions
  • Knowledge about how to navigate health care
    system
  • Concerns about the health care system
  • Social support

31
Explaining Socio-Economic Differences in Loss of
Trust
p-valuelt.01, p-value lt0.05, p-value lt0.10
32
Trust and Expectations
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