The UCSF OAIC Kenneth Covinsky MD MPH UCSF

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The UCSF OAIC Kenneth Covinsky, MD, MPH UCSF Division of Geriatrics SFVAMC Section of

The UCSF OAIC Kenneth Covinsky, MD, MPH UCSF Division of Geriatrics SFVAMC Section of Geriatrics and Palliative Medicine

Theme • Characteristics and Outcomes of Late Life Disability: A Focus on Vulnerable Populations

Theme • Characteristics and Outcomes of Late Life Disability: A Focus on Vulnerable Populations

Disability Theme • Traditional – Research that examines factors that lead to “loss of

Disability Theme • Traditional – Research that examines factors that lead to “loss of independence” – Research that informs how we can reduce risk of functional decline • But…. • What is the “I” in OAIC? – ADL Disability is not a terminal outcome

Outcome of ADL Disability • The “I” should include broad spectrum of elders •

Outcome of ADL Disability • The “I” should include broad spectrum of elders • We know very little about how to improve quality of life in complex elders with disability – Geriatric science has the tools to improve the independence and quality of life of disabled elders • The quality of health care for complex elders with disability is poor – Geriatric science has the tools to improve care and health outcomes for these patients • Bringing together Geriatrics and Palliative Medicine

Example: “Successful Aging” • RCDC Scholar Alex Smith – Qualitative Study: In Depth Interviews

Example: “Successful Aging” • RCDC Scholar Alex Smith – Qualitative Study: In Depth Interviews of Disabled Elders at On Lok • ¾ think they aged successfully • Most think their quality of life is good • Key factors: – – – Adaptation (personal, medical, society) Maintaining valued activities Being useful to others Dignity, Sense of control Symptom management • Rowe and Kahn have served field well. But we need to move forward?

Vulnerable Populations • Bringing together medical and social views of vulnerability – Medical: Comorbidity,

Vulnerable Populations • Bringing together medical and social views of vulnerability – Medical: Comorbidity, functional and cognitive impairment – Social: Poverty, Social isolation, adverse circumstance • Interaction of medical and social vulnerability informs – Determinants of disability and its outcomes – Interventions

Examples: Early Development in Vulnerable Populations • Brie Williams: RCDC Scholar – Older Prisoners:

Examples: Early Development in Vulnerable Populations • Brie Williams: RCDC Scholar – Older Prisoners: Prevalence and Impact of Functional Impairment (Physical/Cognitive) • Margot Kushel: External Project – The aging homeless

Organization of UCSF OAIC • Principles – We view our resources as venture capital

Organization of UCSF OAIC • Principles – We view our resources as venture capital – We make investments in PEOPLE who do projects – Our job is to identify the people who will be leaders and innovators in aging research • Provide the project support that will catalyze their development • Provide mentorship, intellectual+ operational support • People principle proving a great mechanism of making our center a true Center – Operation discussions focus on people

Core Structure • 2 resource cores – Data, Measures, and Accrual (DMAC) (Steinman) –

Core Structure • 2 resource cores – Data, Measures, and Accrual (DMAC) (Steinman) – Research Design and Analysis (RDAC) (Boscardin) • 2 Developmental Cores – RCDC (Walter/Yaffe) – PESC (Ritchie/Williams) • LAC

Core 1: Data, Measures, Accrual • Data Set Expertise – HRS, CMS, VA •

Core 1: Data, Measures, Accrual • Data Set Expertise – HRS, CMS, VA • Measures – Use of measures of functioning, disability, quality of life (Geriatric spins) • Accrual – Assistance identifying older and vulnerable subjects

DMAC Examples • External Project: Peripheral Neuropathy in older Cancer Patients (RO 1: Miaskowski)

DMAC Examples • External Project: Peripheral Neuropathy in older Cancer Patients (RO 1: Miaskowski) – Add measures of physical function • Development Project – Abstraction of functional measures from electronic data (natural language processing)

Core 2: Research Design and Analysis • Analysis – Proposal Development – Analytic Services

Core 2: Research Design and Analysis • Analysis – Proposal Development – Analytic Services • Examples – External Project: Fang (R 01): Predicting complications of anticoagulant therapy – Development Project: Algorithms to calculate optimism in prediction models (open source software)

Core 3: RCDC • Support early career faculty at key points of career vulnerability

Core 3: RCDC • Support early career faculty at key points of career vulnerability – RCDC Scholars: New faculty provided financial support and mentorship that will lead to K-award – RCDC advanced scholars: K funded faculty provided project support and mentorship that will lead to RO 1 – Substantial $ support (30 -60 K/yr X 2 years), mentorship, seminars, nudging

RCDC Scholar: Ryan Greysen • Hospital Medicine: Readmissions and Transitions – Central hypothesis: Real

RCDC Scholar: Ryan Greysen • Hospital Medicine: Readmissions and Transitions – Central hypothesis: Real issues leading to readmission are not the typical disease measures • Functional and Cognitive Impairment, social support, caregiver stress • K 23 (10!!!) – HRS readmission study – Qualitative studies: Patients/Caregivers post DC

Example: Sei Lee (Advanced Scholar) • Improve diabetes management, outcomes, care of frail elders

Example: Sei Lee (Advanced Scholar) • Improve diabetes management, outcomes, care of frail elders – Current Beeson Scholar who will transition to R 01 – Plan: Longitudinal Study of Nursing Home Residents – RCDC support: Pilot data collection –subject assembly, measures

Core 4: PESC (Ritchie) • Support for preliminary data/developmental work that will lead to

Core 4: PESC (Ritchie) • Support for preliminary data/developmental work that will lead to a R 01 – Targets: More advanced than RCDC scholars – Open to those not established in aging • Substantial awards (30 K X 2 years)

PESC Examples • Surgical Outcomes in Nursing Home Patients (Finlayson) – Pilot: Assemble cohorts

PESC Examples • Surgical Outcomes in Nursing Home Patients (Finlayson) – Pilot: Assemble cohorts of nursing home patients who have surgery using merged MDS-Medicare Data – R 01: Outcomes of Surgery vs Conservative therapies in cholecystitis • Improving decision making, advance care planning in elders with multimorbidity (Sudore: www. prepareforyourcare. org) – Funded with VA IIR, RO 1 – Pilot: Translation of materials into Spanish – Outcome: PCORI grant

Thank You

Thank You