Journal of Geriatric Oncology - Volume 7/6 - Supplement 1

A B S T R A C T S

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any geriatric issue, a short form Comprehensive Geriatric

Assessment was administered. The information was sent via

email to the Oncogeriatric InformationTeam (OGIT) at Moffitt,

as well as the oncologist’s pre-consultation treatment plan

(pre-OGIT email). The OGIT consisted of one clinical research

coordinator and three medical oncologists (Drs. Dougoud, Lee,

and Battisti) working under the supervision of Dr.Extermann,

as visiting international scholars. OGIT preformatted a request

using the TCC™ data warehouse front end tool (TransMed) to

retrieve similar patient cases by age, disease site, histology

and stage. A data concierge from the Data Collaborative

Services Core extracted the patients’cohort created from

TCC™ and provided the list to the OGIT within 24 hours.

Additional information was retrieved from Electronic Medical

Records and data about matching patients were summarized

in a report containing only de-identified information. Relevant

literature was included in the report and reviewed by a Senior

Member of the SAOP. Two weeks after the treatment decision,

a post-consultation email was sent to the oncologist to assess

the final treatment plan and the utility of such a consultation.

Results:

31 patients have been included. 10 (32.3%) were

new, the others (67.7%) were established patients. The SAOP2

screening was postivie in 87.1%. The time from reception

of the pre-OGIT email to the sending of the report took on

average 2.2 working days (median 2 days, range 1-5). For all

patients except 1, the time was within 3 working days. The

OGIT consult influenced treatment in 38.7% of cases (N=12),

modified it in 19.4% (N=6) and was perceived as “somewhat”

to “very useful” in 84% of the cases (N=26).

Conclusion:

This study establishes a proof of concept

as to the feasibility of real time use of Big Data for clinical

practice. The geriatric screening and the consultation report

influenced treatment in 38.7% of cases and modified it in

19.4%. This compares very well with oncogeriatric literature

which reports impact rates of 20-50% for geriatric screenings/

consultations. However, additional steps are still needed

to make this consultation a financially and clinically viable

proposition for large scale use.

Disclosure of interest:

None declared

Keywords:

Big data, cancer in the elderly, electronic

consultation, personalized medicine, total cancer care

P082

GERIATRIC ONCOLOGY NEEDS ASSESSMENT OF

GENITOURINARY CANCER SITE GROUP: THE GERIATRIC

ONCOLOGY DEMONSTRATION PROJECT

A. Loucks

*, R. Jin

, P. Savage

, G. Rodin

, M. Puts

, S. Alibhai

Nursing Geriatric Oncology,

Director of Professional Practice,

Director of Supportive Care, Princess Margaret Cancer Centre,

Nursing Geriatric Oncology, University of Toronto,

Geriatric

Oncologist, Princess Margaret Cancer Centre, Toronto, Canada

Introduction:

Recognizing that almost 20% of patients at a

large academic cancer centre were age 75+, and another 20%

were 65-74 years old, institutional support was obtained to

design and introduce a Geriatric Oncology (GO) Clinic at the

Princess Margaret Cancer Centre inToronto, Canada. However,

published descriptions of GO clinics rarely report results of a

needs assessment.

Objectives:

To conduct a needs assessment in a

Genitourinary (GU) Cancer Clinic that would validate the

need for a GO clinic for this group of patients. The assessment

would also help refine the goals of a GO clinic and identify

knowledge shortfalls and education opportunities for the

healthcare team.

Methods:

A multistep needs assessment of the GU Cancer

Site nurses and physicians was conducted to identify the

learning needs and attitudes towards older adults with

cancer. The first step was a thematic analysis of interviews

conducted with self-nominated GU physician site champions

(n=5) fromMedical, Radiation, and Surgical Oncology to assess

their support for the GO Clinic and establish the GO clinical

goals to meet the needs of their patient population. Secondly,

the GU specialized Oncology nurses’ (n=7) knowledge of and

attitudes towards older adults with cancer was assessed

using an adapted version of the NICHE Geriatric Institutional

Assessment Profile (GIAP) survey. Lastly, physicians regularly

attending the GUTumour Board (n=16) completed a knowledge

and attitudes survey developed specifically for Oncologists.

Results:

The needs assessment identified GO learning

needs and resources for the entire GU Cancer Care Team.

Champions were strongly supportive of a GO clinic and

empowering point of care nurses to identify and assess

vulnerable and complex older patients with cancer. Nurses

reported having a lack of training, resources, and time to

adequately care for vulnerable older adults. The majority of

physicians reported that the GO clinic would be most helpful

in supporting older adults during cancer treatment and, to a

lesser extent, with treatment decision making (Table 1). The

physicians identified a number of educational and resource

needs to assist with (a) making treatment decisions, and (b)

managing older adults with cancer,(Table 1).

Table 1 (abstract P082) – GU Oncologist Comfort Level in Assessing or

Managing Older Adults

Agree or Neither Disagree or

Strongly agree or

Strongly

Agree

disagree disagree

Comfort/Confidence Level reported:

Understanding of age-related

physiologic changes on efficacy

and toxicity of cancer treatment

in the older adult

Managing older adults with

multiple comorbidities

Understanding risks associated

with polypharmacy in the context

of cancer treatment for the older adult

Managing older adults with cancer

who have cognitive impairment.

Managing older adults with cancer

who have a recent history of falls.

I know what services to access at

37.5

[the hospital] to optimize the care

of older adults with cancer.

I know what services to access in

the community to optimize the care

of older adults with cancer.