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Impact of Visit Length on Operational & Financial Outcomes in Pediatric Integrated Primary Care Tawnya Meadows, PhD, BCBA-D, Co-Chief of Behavioral Health in Primary Care, Geisinger, Danville, PA Sean O'Dell, PhD, Associate/Clinical Investigator, Geisinger, Danville, PA Shelley Hosterman, PhD, Co-Chief of Behavioral Health in Primary Care, Geisinger, Danville, PA Session # I6 CFHA 20 th Annual Conference October 18-20, 2018 Rochester, New York

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Page 1: Impact of Visit Length on Operational & Financial Outcomes ... · Impact of Visit Length on Operational & Financial Outcomes in Pediatric Integrated Primary Care Tawnya Meadows, PhD,

Impact of Visit Length on Operational & Financial Outcomes in Pediatric Integrated Primary Care

Tawnya Meadows, PhD, BCBA-D, Co-Chief of Behavioral Health in Primary Care, Geisinger, Danville, PA

Sean O'Dell, PhD, Associate/Clinical Investigator, Geisinger, Danville, PA

Shelley Hosterman, PhD, Co-Chief of Behavioral Health in Primary Care, Geisinger, Danville, PA

Session # I6

CFHA 20th Annual Conference

October 18-20, 2018 • Rochester, New York

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Faculty Disclosure

The presenters of this session have NOT had any relevant

financial relationships during the past 12 months.

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Conference Resources

Slides and handouts shared in advance by our Conference Presenters are available on the CFHA

website at http://www.cfha.net/?page=Resources_2018

Slides and handouts are also available on the mobile app.

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Learning Objectives

At the conclusion of this session, the participant will be able to:

• List steps involved in changing template from a 60-minute to 30-minute model

• Describe impact on access outcomes related to changing length of patient slots

• Discuss implications of changing length of patient slots on outcomes related to financial sustainability

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1. Asarnow, JR, Rozenman, M., Zeltzer, L. (2015). Integrated Medical-Behavioral Care Compared with Usual Primary Care for

Child and Adolescent Behavioral Health: A Meta-Analysis. JAMA Pediatrics; 169(10); 929-937

2. Rhoward, KI, Kopta, SM, Krause, MS, & Orlinsky, DE (1986). The dose-effect relationship in psychotherapy. American

Psychologist, 41(2), 159.

3. Turner, PR, Valtierra, M, Talken, TR, Miller, VI, & DeAnda, JR (1996). Effect of session length on treatment outcome for

college students in brief therapy. Journal of Counseling Psychology, 43(2), 228

4. Corso, KA, Bryan, CJ, Corso, ML, Kanzler, KE, Houghton, DC, Ray-Sannerud, B, & Morrow, CE (2012). Therapeutic alliance

and treatment outcome in the primary care behavioral health model. Famlilies, Systems, & Health, 30(2), 87.

5. Reiter, JT, Dobmeye, AC, Hunter, CL (2017). The primary care behavioral health (PCBH) model: An overview and operational

definition. Journal of clinical psychology in the medical setting, 1-18.

6. O’Brien, D., Harvey, K., Howse, J., Reardon, T., & Creswell, C. (2016). Barriers to managing child and adolescent mental

health problems: A systematic review of primary care practitioners’ perceptions. British Journal of General Practice, 66,

e693-e707. doi:10.3399/bjgp16X687061

7. Njoroge, W. F. M., Hostutler, C. A., Schwartz, B. S., & Mautone, J. A. (2016). Integrated behavioral health in pediatric primary

care. Current Psychiatry Reports, 18. doi:10.1007/s11920-016-0745-7

8. Torio, C. M., Encinosa, W., Berdahl, T., McCormick, M. C., & Simpson, L. A. (2015). Annual report on health care for children

and youth in the United States: National estimates of cost, utilization, and expenditures for children with mental health

conditions. Academic Pediatrics, 15, 19-35. doi:10.1016/j.acap.2014.07.007

9. Turner, P. R., Valtierra, M., Talken, T. R., Miller, V. I., & DeAnda, J. R. (1996). Effect of session length on treatment outcome for

college students in brief therapy. Journal of Counseling Psychology, 43, 228-232. doi:10.1037/0022-0167.43.2.228

10. Valleley, R. J., Kosse, S., Schemm, A., Foster, N., Polaha, J., & Evans, J. H. (2007). Integrate primary care for children in rural

communities: An examination of patient attendance at collaborative behavioral health services. Family, Systems, & Health,

25, 323-332. doi:10.1037/1091-7527.25.3.323

11. Vogel, M. E., Kanzler, K. E., Aikens, J. E., & Goodie, J. L. (2017). Integration of behaviora health and primary care: Current

knowledge and future directions. Journal of Behavioral Medicine, 40, 69-84. doi:10.1007/s10865-016-9798-7

Bibliography / Reference

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Learning Assessment

A learning assessment is required for CE credit.

A question and answer period will be conducted at

the end of this presentation.

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8

Impact of Visit Length on Operational &

Financial Outcomes in Pediatric

Integrated Primary Care

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9

Background & Need

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10

2018-2019

Pottsville

Bloomsburg

Selinsgrove

Orwigsburg

Susquehanna Sunbury

Extension - ON

Hub

Woodbine

Mt Pleasant

Lock Haven

Pittston

Mt Pocono

Forty Fort

Lewistown

Shamokin

Grey’s Woods

Nanticoke

Extension - OFF

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11

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12

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Pediatric Integrated Care Model

• Rural setting

• Hybrid model

• Limited referral options

• Most treated in house

Primary mission: Access

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14

Pilot Clinics 2011

Pottsville

BloomsburgSelinsgrove

Orwigsburg

Extension

Hub

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15

Pilot Template Structure

Monday Tuesday Wednesday

9:00-10:00 Patient Slot Patient Slot Patient Slot

10:00-11:00 Patient Slot Patient Slot Patient Slot

11:00-12:00 Patient Slot Patient Slot Patient Slot

12:00-1:00 LUNCH/Meetings LUNCH/Meetings LUNCH/Meetings

1:00-2:00 SUPERVISION Leigh Consultation/WHO/Paperwork SUPERVISION Leigh

2:00-3:00 Patient Slot Patient Slot Patient Slot

3:00-4:00 Patient Slot Patient Slot Patient Slot

4:00-5:00 Patient Slot Patient Slot Patient Slot

5:00-6:00 Patient Slot DBC Group ACT Group

6:00-7:00 DBC Group ACT Group

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16

Problems

with Pilot

Model

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Program

Consultation

Dr. Manson

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Revised Template Structure

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Timeline for Change

Spring 2017

Summary consult/recs

Team discussion*

Sample templates

Provider choice/benefit

Summer 2017

Team leads piloted

Kept notes & observations

Shared tips/tricks with team

Developed supporting materials

Fall 2017

Rolled out in additional clinics

Data dashboard development

2017-2018

Continued model

New system metrics

Monthly check-ins

Select clinics back to 60

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Material

Preparation

Orienting key stakeholders

• Patients*

• PCPs*

• Office staff*

Clinician support

• More clocks

• Laminated problem sheets

• Treatment plan format*

(later)

• Planning sheet*

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Clinician Support - Sample Agenda

Minutes Tasks

5 minutes

Review patient planning form (if using)

Discuss home practice task

Update symptom rating

Problem solve (as needed)

20 minutes

Agree on today’s topic/skill

Introduce & practice new skill

5 minutes

Agree on home practice plan details

Set data collection plan

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Clinician Support – Tx

Plan & Documentation

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23

Tx Plan &

Documentation

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Evaluation & Impact

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Evaluation Plan

• Comparison Site

• Staffing: 2 full time psychologists, 4 FTE interns

• Referral sources: anyone within 5 county area

• IPC Sites

• Staffing: 2.5 Clinic leads/psychologists, .4 FTE Interns, 2 FTE

Postdocs

• Referral sources: On site PCPs or collaborating partner

|

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FinancialWhat administrators see….B

elo

w B

udget

Above B

udget

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What administrators see….

We will

never make

budget.

What do the

clinicians do

all day?

This 30 minute

template is a

bad idea.

Be

low

Budget

Above B

udget

We are

losing

money

Financial

I am going

to lose my

job.

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What clinicians feel….B

elo

w B

udget

Abo

ve B

ud

ge

t

IPC 30 Minute Template: Billable Hours Per FTE

January through March 2017 (Blue) and 2018 (Red)

Jan Feb Mar

Clinical

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What clinicians feel….B

elo

w B

udget

Abo

ve B

ud

ge

t

IPC 30 Minute Template: Billable Hours Per FTE

January through March 2017 and 2018

I am working

so much

This 30

minute model

is awesome!

I am serving

so many more

families ☺

I’m in the

money…

Jan Feb Mar

I just

bought a

house…

I left work

on time

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What Shelley/Tawnya see….Operational

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What Shelley/Tawnya see….

Maternity Leave,

Staff turnover …Summer

drop off

Interviews

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What Shelley/Tawnya see….60 Minute template= Average 77.7 Billable Hours/FTE per Month

30 Minute template= Average 105.8 Billable Hours/FTE per Month

Goal= 96

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OperationalSlot Utilization

0

20

40

60

80

100

120

140

160

60 min IPC 30 min IPC

0

20

40

60

80

100

120

140

160

Specialty Year 1 Specialty Year 2

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OperationalFill rate

0

20

40

60

80

100

120

140

IPC 60 min IPC 30 min

0

20

40

60

80

100

120

140

Specialty Year 1 Specialty Year 2

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35Operational

Percent of New Patients Seen 10 days or Less

0

10

20

30

40

50

60

70

80

90

100

60 min IPC 30 min IPC

0

10

20

30

40

50

60

70

80

90

100

Specialty Year 1 Specialty Year 2

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36

What Researchers Feel…

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What Researchers Actually Feel…

Biglan et al., 2012;

Merikingas et al., 2010;

Olfson et al., 2014

Bodenheimer et al., 2014;

Croghan & Brown, 2010;

Peek et al., 2014

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What Researchers See….

Effort

Impact

✓ Innovation

✓ Real System

Improvement

✓ Data-Based Decision

Making and

Accountability

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Evaluation & Impact: Billable Hours per FTE

Parameter Estimate (SE) 95% CI P-Value

Pre-Level 85.39 (11.57) 61.26, 109.51 ---

Post-Level Change 17.29 (17.24) -18.68, 53.25 0.328

Pre-Trend 0.012 (1.34) -2.78, 2.80 0.993

Post-Trend Change 2.25 (2.68) -3.33, 7.83 0.409

Post-Trend 2.27 (2.32) -2.57, 7.10 0.340

Hypothesis: Level

Change for the Better

Supported by the data?:

No; however, trend looks

promising

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40

Evaluation & Impact: Slot Utilization

Parameter Estimate (SE) 95% CI P-Value

Pre-Level 89.20 (8.23) 72.04, 107.37 ---

Post-Level Change -43.88 (9.71) -64.13, -23.62 <0.001

Pre-Trend 3.44 (1.08) 1.18, 5.71 0.005

Post-Trend Change -0.22 (1.91) -4.20, 3.76 0.911

Post-Trend 3.23 (1.57) -0.05, 6.50 0.053

Hypothesis: Anticipate

initial deterioration, but

over time no change

Supported by the data?:

Partially; initial

deterioration observed,

but not full recovery

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41

Evaluation & Impact: % Seen Within 10 Days

Parameter Estimate (SE) 95% CI P-Value

Pre-Level 72.63 (3.21) 65.76 – 79.51 --

Post-Level Change 12.05 (9.93) -9.25, 33.34 0.245

Pre-Trend -1.90 (0.68) -3.36, -0.44 0.014

Post-Trend Change 0.37 (1.66) -3.19, 3.94 0.826

Post-Trend -1.53 (1.52) -4.78, 1.72 0.330

Hypothesis: Level

Change for the Better

Supported by the data?:

No

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42

Evaluation & Impact: Fill Rate

Parameter Estimate (SE) 95% CI P-Value

Pre-Level 91.28 (6.60) 77.51, 105.05 ---

Post-Level Change -44.47 (15.94) -77.71, -11.23 0.011

Pre-Trend 2.75 (1.65) -0.69, 6.19 0.111

Post-Trend Change -1.71 (2.02) -5.92, 2.51 0.409

Post-Trend 1.04 (1.17) -1.40, 3.49 0.3823

Hypothesis: No Change

Supported by the data?:

No; deterioration

immediately apparent

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43

Other Considerations

Satisfaction

-Patient

-BHC

-PCP

-PAR

WHO and Collaboration frequency

Group sustainability

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Lessons Learned & Next Steps

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45

Research Lessons/Tips

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Clinical Lessons/Tips

Benefits

More time!

After school visits

Less overriding

Work/life balance

Clinical partners pleased

Increase efficiency

Integrity in agenda/tx plan

Referring complex pts

Challenges

Transitioning patients

Complex sessions

•Exposures

•Family conflict

•Trauma

•Crisis

WHO's during session

Late patients

"Oh by the way....."

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Clinical Lessons/Tips

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Questions & comments welcome!!

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Session Evaluation

Use the CFHA mobile app to complete the evaluation

for this session.

Thank you!