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A Study of Nursing Facility Transitions: Who Leaves? Who Stays?

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A Study of Nursing Facility Transitions: Who Leaves? Who Stays?. Presentation to Olmstead Advisory Committee November 5, 2009 Kathryn E. Thomas, Ph.D. Kathleen H. Wilber, Ph.D. University of Southern California Davis School of Gerontology. Outline. - PowerPoint PPT Presentation
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Facility Transitions: Who Leaves? Who Stays? Presentation to Olmstead Advisory Committee November 5, 2009 Kathryn E. Thomas, Ph.D. Kathleen H. Wilber, Ph.D. University of Southern California Davis School of Gerontology
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Page 1: A Study of Nursing Facility Transitions:   Who Leaves? Who Stays?

A Study of Nursing Facility Transitions:

Who Leaves? Who Stays?Presentation to Olmstead Advisory Committee

November 5, 2009

Kathryn E. Thomas, Ph.D.Kathleen H. Wilber, Ph.D.

University of Southern CaliforniaDavis School of Gerontology

Page 2: A Study of Nursing Facility Transitions:   Who Leaves? Who Stays?

Outline

A Fresh Look at Nursing Home Transition Minimum Data Set, Episodes of Care Transition outcomes vs. discharge outcomes

Goal of Study #1: Identify characteristics associated with successful community discharge

Goal of Study #2: Identify barriers to transition among residents with a community living preference

Implications

Page 3: A Study of Nursing Facility Transitions:   Who Leaves? Who Stays?

A Fresh Look:Nursing Facility Transition 40% of people 65+ likely to spend some time

in a nursing home. Targeting candidates is a critical component

of NF transition programs. Transition as “Conversion Diversion” -

Getting individuals out before they convert to long-stay

Focus on “Transition Outcomes” instead of traditional “Discharge Outcomes”

Page 4: A Study of Nursing Facility Transitions:   Who Leaves? Who Stays?

A New Approach: Episodes of Care

MDS: A wealth of data, generally underutilized in NF Transition efforts 10+ million records/year Combination of short & long-stay residents Difficult to extract meaningful data

Transition Outcomes vs. Discharge Outcomes Transition outcomes require broader

perspective. Need to track person across settings.

Page 5: A Study of Nursing Facility Transitions:   Who Leaves? Who Stays?

Episode of Care

Episode Start Date

All variables taken from full Admissions Assessment.

Episode End DateDischarge date and Discharge Status taken from Discharge Tracking Form

Based on the work of Fisher et al., Medical Care, 41(12) 2003.

HOME NH ACUTE ACUTE NHNHNH

0 10 20 30 40 50 60 70 80 90 100

100 Day Episode

Page 6: A Study of Nursing Facility Transitions:   Who Leaves? Who Stays?

Study #1: Successful Transitions

Unit of Analysis: Episode of care Sample: MDS from SCAN/Medicare

(n = 4635) What did we do? We compared…

Community Discharge w/in 90

days

NF placement 90+ days

Community discharge = home w/ home health, home w/o home health or board & care/assisted living

vs.

Page 7: A Study of Nursing Facility Transitions:   Who Leaves? Who Stays?

Who was in the sample?

Who we included: MDS records for SCAN and Medicare individuals who entered a NF in Los Angeles, Orange, Riverside, or San Bernardino between 1/1/01 and 12/31/03.

Who we excluded: Episode length < 14 days, those who died, residents discharged to the hospital w/in 90 days, MR/DD, persistent vegetative state

Page 8: A Study of Nursing Facility Transitions:   Who Leaves? Who Stays?

What did we look at? Predisposing

Age, gender, marital status, race & education Need

Cognitive functioning, depression, comorbidities, social engagement, behavior, ADLs, incontinence, recent fracture, recent fall, admitted-from location

Enabling Generic: Living situation before admission, legal

responsibility, payment source, type of insurance Transition-Specific: Community living preference,

presence of support person positive toward discharge, discharge prediction timeframe, receipt of community living skills training

Page 9: A Study of Nursing Facility Transitions:   Who Leaves? Who Stays?

Study 1: Questions

We were interested in individual characteristics associated with successful transition to the community Which transition-specific variables affect

transition? Does SCAN membership affect

transition?

Page 10: A Study of Nursing Facility Transitions:   Who Leaves? Who Stays?

Results: What Supports Transition?

Preference (Q1a) increases the likelihood of transition by 28%

Presence of support person (Q1b) increases the likelihood of transition by 250%

Discharge prediction (Q1c): Those predicted to stay 30+ days are 43% - 84% less likely to transition than those predicted to stay < thirty days

Community living skills training (P1ar) increases the likelihood of transition by 42%

SCAN membership increases the likelihood of transition by 50%

Page 11: A Study of Nursing Facility Transitions:   Who Leaves? Who Stays?

Study #2: Barriers to Transition

Subsample: Only residents who expressed/indicated preference to return to the community (n = 2935)

Question: Who gets stuck in the NF and

why?

Page 12: A Study of Nursing Facility Transitions:   Who Leaves? Who Stays?

Results

Supports Transition Female Married Recent fracture SCAN (44%) Support person

(269%) Community living

skills training (133%)

Barriers to Transition ADL limitation Bowel incontinence Medicaid (- 43%) Discharge prediction >

30 days (-36% to -76%)

Page 13: A Study of Nursing Facility Transitions:   Who Leaves? Who Stays?

Implications

Characteristics & BarriersMDS Targeting StrategiesTransition Interventions

Page 14: A Study of Nursing Facility Transitions:   Who Leaves? Who Stays?

Characteristics & Barriers Key Issues

Support person most important factor More research needed on discharge prediction

and community living skills training variables.

Insurance Medicaid a consistent barrier, SCAN positive SCAN members are less likely to become long-

stay Reconsider S/HMO models?

Page 15: A Study of Nursing Facility Transitions:   Who Leaves? Who Stays?

MDS 3.0

Q1a, Q1b and Q1c removed Replaced by general question about goals and

desire to talk to someone about community transition

Based on this research, it is unfortunate that ‘Presence of a Support Person’ and ‘Predicted Discharge’ were removed

Transition question is still at the end of the assessment and only on full assessments, not quarterly.

Page 16: A Study of Nursing Facility Transitions:   Who Leaves? Who Stays?

MDS 3.0 (Cont)

New Return to Community CAT Triggers could be informed by results of this

study. CAT may shift responsibility for transition

from NF to agencies. Potential to overwhelm. Results could be used to help prioritize list from

CAT CNFTS can also be used by transition

advocates/agencies

Page 17: A Study of Nursing Facility Transitions:   Who Leaves? Who Stays?

Modernizing the MDS Process

NF personnel vs transition advocates/consumers NF Administrators – occupancy Nursing staff – light care need patients are easier

Mandatory referral processes based on CAT will circumvent some of these issues

Consumer Involvement Resident/family should be informed about how

community CAT triggers are filled out Should be able to talk with ombudsman/advocate if

they disagree with assessment. Should be given opportunity to opt into community

living training.

Page 18: A Study of Nursing Facility Transitions:   Who Leaves? Who Stays?

Targeting Strategies Discharge prediction & accrued length of stay

Compare predicted vs actual and assign likelihood level

Protocol in place to check in with resident/family when approaching predicted discharge

Reactive, but easy and could be used with all ages Preference & discharge prediction

Pref & pred < 30 – minimal assistance needed Pref & pred 30-90 or uncertain – midlevel

assistance Pref & pred > 90 – intensive assistance level. Not recommended for 85+

Page 19: A Study of Nursing Facility Transitions:   Who Leaves? Who Stays?

Targeting Strategies (Cont)

Discharge Probability Score Use study results to create discharge

probability score Assign individuals to different transition

assistance level based on probability score. Ultimately CAT could automatically

calculate probability score

Page 20: A Study of Nursing Facility Transitions:   Who Leaves? Who Stays?

Tiered Transition Interventions

Minimal Assistance (residents w/ high likelihood of transition) Review predicted discharge estimate with

resident/family Let them know transition assistance available if

they get off track for discharge. Offered basic information about HCBS and option

to participate in community living skills training for resident and/or family

Page 21: A Study of Nursing Facility Transitions:   Who Leaves? Who Stays?

Tiered Transition (Cont)

Mid-Level Assistance All of the above plus additional community

living preference & feasibility assessment Could use CNHTS around day 30 for

efficiency Intensive Assistance (residents w/ low

likelihood of transition) All of the above plus dedicated transition

counselor

Page 22: A Study of Nursing Facility Transitions:   Who Leaves? Who Stays?

Thank you

Comments? Questions?


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