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Psychology in Primary Care: An Examination
                  of Best Practices

Rashmita Basu, Ph.D.
Karon M. Phillip, Ph.D.
Alan B. Stevens, Ph.D.




1
Background/Objective

• Integrating psychology and mental health professionals
  into primary care settings to improve access to mental
  health services (Blount, 2003; McDaniel&Hepworth, 2002).

Objective:
    The overall purpose of this project was to compare
           appointment attendance patterns of
  psychology/mental health services at selected Family
    Medicine clinics within Scott & White Healthcare to
      explore the impact of care delivery and patient
                      characteristics.
2
Types of Care Delivery Models

The three main models of interfacing psychological services
  with primary care:
• Referral: referring a patient to a psychologist/mental
  health professional located in a facility outside of the
  primary care physician’s (PCP) office;
• Co-located: referring a patient to a co-located
  psychologist/mental health professional that does not
  interact with PCP;
• Co-located& Integrated: PCP and the
  psychologist/mental health professional discuss the
  patient’s health.

3
Attendance Patterns of Initial Appointment

                                              Attandance Pattern By Clinic Site
                         100%

                         90%             23
    Attandance Pattern




                                                              35                  38
                         80%

                         70%

                         60%

                         50%

                         40%             77                                             Unattended
                                                              65                  62
                         30%                                                            Attended

                         20%

                         10%

                          0%


                                Co-located&Integrated      Referral        Co-located
                                                         Clinic Site

4
Sample and Data Sources

• 599 Patients (age 18 or higher) with following 2
  conditions:
    Depression (311, 300.4, 296.2, 296.3); and
    Anxiety disorder (308.3, 300.00)
• Study time: January 2004 to June 2010.
• EMR, which included clinician dictated notes.

     Excluded: Patients with dementia, delirium, severe
       psychotic symptoms or any other severe conditions.


5
Sample Demographics

 Demographic Characteristics of Study Sample by Model Type
(N=599)
                                 Care Delivery Models
Variables        Referral   Co-located       Co-located & Integrated
                 (%)             (%)              (%)
Male             43              39               41
Race/Ethnicity
    White        78              49               84
    Black         3               7                6
    Hispanic     .8               4                2
    Other        17              3.8               7
Diagnosis
    Anxiety      72              67               66
Age: mean (SD) 43 (16.8)         39 (16.8)        41 (15.4)



6
Analysis

Predict the likelihood of initial attendance pattern.

Outcome variable of Interest:
• Attendance status at initial appointment with psychologists
  (binary variable).

List of Independent covariates:
• clinic site dummy variable;
• age, gender, race, ethnicity,
• time between referral and scheduled appointments

7
Regression Results


    Logistic regression results with the outcome variable of
    Attendance status

    Variables           OR [95% CI]               p-value
    Age                 1.02 [1.006, 1.03]        <0.001
    Male                1.14 [0.77, 1.68]           0.51
    White               1.32 [0.77, 2.28]           0.96
    Black               0.72 [0.30, 1.73]           0.52
    Hispanic            0.39 [0.11, 1.36]           0.14
    Integrated Care     1.79 [1.12, 2.84]           0.01
    Co-located          1.07 [0.55, 1.17]           0.83
    Referral time       0.98 [0.96, 0.99]           0.04



8
Discussions/Conclusions
• Patients provided primary care services in a clinic where
  primary care and mental health providers interact
  (integrated and co-located model) were more responsive
  to mental health referrals
• Being older is positively associated with the likelihood of
  appointment status, while longer referral time decreases
  the odds of attending the first appointment.
• Limitations include the availability of a single co-located
  and integrated Family Medicine clinic
• Further analyses are needed to explore long term health
  care utilization patterns associated with these three
  models.
9
10   Wednesday, May 02, 2012

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Psychology in Primary Care An Evaluation of Best Practices BASU

  • 1. Psychology in Primary Care: An Examination of Best Practices Rashmita Basu, Ph.D. Karon M. Phillip, Ph.D. Alan B. Stevens, Ph.D. 1
  • 2. Background/Objective • Integrating psychology and mental health professionals into primary care settings to improve access to mental health services (Blount, 2003; McDaniel&Hepworth, 2002). Objective: The overall purpose of this project was to compare appointment attendance patterns of psychology/mental health services at selected Family Medicine clinics within Scott & White Healthcare to explore the impact of care delivery and patient characteristics. 2
  • 3. Types of Care Delivery Models The three main models of interfacing psychological services with primary care: • Referral: referring a patient to a psychologist/mental health professional located in a facility outside of the primary care physician’s (PCP) office; • Co-located: referring a patient to a co-located psychologist/mental health professional that does not interact with PCP; • Co-located& Integrated: PCP and the psychologist/mental health professional discuss the patient’s health. 3
  • 4. Attendance Patterns of Initial Appointment Attandance Pattern By Clinic Site 100% 90% 23 Attandance Pattern 35 38 80% 70% 60% 50% 40% 77 Unattended 65 62 30% Attended 20% 10% 0% Co-located&Integrated Referral Co-located Clinic Site 4
  • 5. Sample and Data Sources • 599 Patients (age 18 or higher) with following 2 conditions:  Depression (311, 300.4, 296.2, 296.3); and  Anxiety disorder (308.3, 300.00) • Study time: January 2004 to June 2010. • EMR, which included clinician dictated notes. Excluded: Patients with dementia, delirium, severe psychotic symptoms or any other severe conditions. 5
  • 6. Sample Demographics Demographic Characteristics of Study Sample by Model Type (N=599) Care Delivery Models Variables Referral Co-located Co-located & Integrated (%) (%) (%) Male 43 39 41 Race/Ethnicity White 78 49 84 Black 3 7 6 Hispanic .8 4 2 Other 17 3.8 7 Diagnosis Anxiety 72 67 66 Age: mean (SD) 43 (16.8) 39 (16.8) 41 (15.4) 6
  • 7. Analysis Predict the likelihood of initial attendance pattern. Outcome variable of Interest: • Attendance status at initial appointment with psychologists (binary variable). List of Independent covariates: • clinic site dummy variable; • age, gender, race, ethnicity, • time between referral and scheduled appointments 7
  • 8. Regression Results Logistic regression results with the outcome variable of Attendance status Variables OR [95% CI] p-value Age 1.02 [1.006, 1.03] <0.001 Male 1.14 [0.77, 1.68] 0.51 White 1.32 [0.77, 2.28] 0.96 Black 0.72 [0.30, 1.73] 0.52 Hispanic 0.39 [0.11, 1.36] 0.14 Integrated Care 1.79 [1.12, 2.84] 0.01 Co-located 1.07 [0.55, 1.17] 0.83 Referral time 0.98 [0.96, 0.99] 0.04 8
  • 9. Discussions/Conclusions • Patients provided primary care services in a clinic where primary care and mental health providers interact (integrated and co-located model) were more responsive to mental health referrals • Being older is positively associated with the likelihood of appointment status, while longer referral time decreases the odds of attending the first appointment. • Limitations include the availability of a single co-located and integrated Family Medicine clinic • Further analyses are needed to explore long term health care utilization patterns associated with these three models. 9
  • 10. 10 Wednesday, May 02, 2012