How are we doing in
managing symptoms?• Key nursing role
• Over 30 years of research
• National supportive care guidelines
Symptoms are still common
during chemotherapy
Symptom N=358 %
Fatigue 86
Pain 80
Trouble sleeping 78
Nausea/vomiting 60
Depressed mood 52
Feeling nervous/anxious 49
Trouble thinking/concentrating 48
Numbness/tingling 42
Diarrhea 38
Sore mouth 38
Concern with changes in appearance 34
Prevalence of Symptoms Reported at Moderate or Severe Levels
Symptoms are still common at
end-of-life
Symptom N= 154 %
Fatigue 90
Pain 80
Poor appetite 77
Delirium 63
Anxiety 63
Depressed mood 62
Bowel issues- diarrhea/constipation 60
Difficulty sleeping 57
Difficulty breathing 45
Urinary incontinence 36
Nausea 34
Prevalence of Symptoms Reported at Moderate or Severe Levels
Consequences of
Poorly Controlled Symptoms
• Suffering
• Decreased quality of life
• Poor functional status
• Emergency departments
visits
• Unplanned hospitalizations
• Treatment delays
• Poor adherence to oral
therapies
• Discontinuance of
therapy
• Work absenteeism and
presenteeism
• Inability to carry out
family and societal roles
What about
Family Caregiver Well-being?
Symptom N= 154 %
Fatigue 84
Interference with normal activities 81
Anxiety 78
Difficulty sleeping 78
Depressed mood 73
Prevalence of Symptoms Reported at Moderate or Severe Levels
Consequence of
Poorly Controlled Caregiver Symptoms• Suffering
• Decreased quality of life
• Work absenteeism and
presenteeism
• Chronic stress
• Decreased patient comfort
• Increased risk for
cardiovascular disease,
stroke, cancer, and early death
• Increased risk for complicated grief
Cancer Moonshot Recommendations“Recommendation F: Accelerate research that can
identify approaches to monitor and manage patient
reported symptoms, and integrate the information to
revise and update national guidelines for symptom
control and support.
There is a compelling need to improve symptom care
for cancer patients and cancer survivors. Symptom
management is key not only to improve quality of life
but also for ensuring patient adherence to treatment
that will lead to improved therapeutic response and
ensure survival.”
Everyone has a role
• Inpatient oncology nurses
• Clinic/office oncology
nurses
• APRN oncology nurses
• Oncology managers and
administrators
• Oncology nurse educators
• Oncology nurse scientists
• Professional societies- ONS
Obstacles to Fresh Ideas
• Our own assumptions
• Organizational norms,
culture of health care,
science and academe
Combine to promote the current
context, values, and traditions
creating conformity
•
The value of dissonance
• Dissonance in music
• Seek out what is not harmonious
• Pushes you on to the next level of innovation
• Improvise
• Riff of others
Current Dissonance• Contextual Issues
– Symptoms occur when patients
are at home
– Patient teaching and resources
are not timely or tailored to
symptoms experienced
– Symptoms fluctuate with varying
patterns/intensity throughout
treatment-lowest at clinic visits
– Patient-initiated calls to the clinic
are infrequent (5% of the time
mod-severe)
• Clinical Inertia
– lack of treatment intensification in
a patient not at evidence-based
goals for care
– Clinical uncertainty about the
value of intensifying symptom
care
– Not utilizing evidence-based
guidelines
• Research Gaps and Innovation
• Policy and Systems Issues
– No reimbursement for telephone
based symptom monitoring or
for intensifying symptom care
– Inadequate tracking of
symptoms outcomes and lack of
adoption of supportive care
guidelines
– Ineffective symptom care
models
Precision Medicine
Personalized cancer treatment
Targeted to the specific genetic
and molecular signature of the
cancer
Tailored to the individual person
New Eyes for Symptom Care• Patient and Family-centric, timely,
accessible care
• Targeted to the symptoms the
patient is actually experiencing
• Does not require a clinic visit
• What patients and family
caregivers need, when they need
it, where they need it
• Optimized through technology to
minimize clinician time
• Scalable
• Automated assessment and
coaching
• Clinician decision support
Symptom Care at Home (SCH)
1. Automated monitoring of common
symptoms- presence, severity (1-10),
drill-down for rapid triage
2. Automated algorithm-based self-
management coaching based on
reported symptoms and intensity
3. Automated alerting of clinicians
for poorly controlled symptoms-
symptom graphs for patterns
4. Guideline-based decision support
system for clinicians to intensify
symptom care
Technology-aided care to monitor and treat symptoms at home
Symptom Care at Home• To date tested with > 650 patients during chemotherapy and 365
family caregivers providing end-of-life care
• All cancer diagnoses, disease stage, caregiver relationship, ages,
rural/urban, race/ethnicity
• Telephone Based- automated interactive voice response system
(IVR)
• Can be adapted for web or mobile versions
• During active treatment the average patient reported moderate-
severe symptoms on 43% of daily calls (4-10 on 10 point scale)
• During home hospice- moderate-severe patient symptoms were
reported on 67% of daily calls (4-10 on 10 point scale)
Symptom Care at Home- Chemotherapy N=358• Significantly less symptom
severity across all symptoms
than usual care (UC); p < .001;
(mixed effects modeling); 45% of the
severity level reported by UC
• 67% less severe symptom days
than UC (8-10 severity, 0-10 scale);
p<.001; (negative binominal regression)
• 39% less moderate symptom
days than UC (4-7 severity); p<.001
• 60% more mild days than UC (1-3
severity); p=.006
• 25% more asymptomatic days
than UC;(0- not present) p=.006
Symptom Care at Home
Home Hospice Patient Benefit
• Significantly less symptom
severity for patients than usual
hospice care; p< .001; moderate
effect, d= .55; (mixed effects modeling)
• Moderate to severe patient
symptom days reduced by 38% in
SCH group compared to usual
hospice care; p<.001; (negative
binominal regression)
• Rapid onset of patient benefit;
p=.04; (Kaplan-Meier log rank to first
asymptomatic day)
Symptom Care at Home for Family Caregivers
• 51% reduction in the number
of daily moderate-to-severe
symptoms for family
caregivers over usual hospice
care (p<.001); (negative binominal
regression)
• Caregiver mood was
significantly better for SCH
than usual hospice care,
p=.003; (mixed effects modeling)
•
SCH Protective Effect on Caregiver Vitality
• Caregiver vitality
maintained during
caregiving for SCH
participants but not for
usual hospice care.
• Lower fatigue, better
sleep, and less activity
disruption for SCH
caregivers compared to
usual hospice care, p<.001
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Caregiver Vitality
Higher score equates with loss of vitality
• In SCH (but not UC), caregiver symptom
reduction mediated a reduction in patient
symptoms, p=.027
• Supporting caregiver’s
health translates to
improved patient
symptom outcomes;
both are benefited
• 6th month of bereavement, SCH spouses showed
better outcomes than UC spouses (p=.01)
Our challenge is to disrupt
current approaches to
symptom care to
effectively bring symptom
relief to cancer patients
and their families