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Interviewing Techniques as Tools for
Diagnosis and Treatment,
part 3
The Helpful Interview
The Practice of Medicine -1
Christine M. Peterson, M.D.
Techniques as Tools
Week
2: Introduction to observing, using nonverbal and verbal active listening skills, and
giving feedback.
[SG - Mentor Hospital Interviews]
Week 3: Practice observing, using active
listening skills, and giving and receiving
feedback.
[SG - SP or Hospital Interviews]
Week 4: Become more “patient-centered” in the
interview.
[SG – Hospital or SP Interviews]
Functions of the Medical Interview
Gather
data and understand it
Develop rapport and respond to emotions
Educate and motivate
Begin both diagnostic and
healing processes
Techniques Are Not Results
The
true endpoint of your use of techniques
is the patient’s performance in the interview.
Complete (facts, concerns & requests, context)
Truthful (facts and emotions)
The Patient-Centered Interview
on the patient’s needs
Activates the patient to play a larger role
Is characterized by “active listening”
Has a positive impact on patient outcome
Focuses
Review of techniques
Behavior
that BEFITS a physician
FOCUS on active listening
PREP to obtain patient-centered information
REALLY PREPARE to show empathy
Issues from 3 x 5 cards
*Motivating
behavior change
*Cultural (and other) differences
*Sensitive topics
*Challenging interviews / relationships
*Talking with children & parents
Issues from 3 x 5 cards
Organizing
the interview (order of inquiry,
keeping on track)
Time management / efficiency
Interpreting verbal and non-verbal
communication
metacommunication
Dealing
with emotions
Note-taking / documentation
Closing the interview
Being a beginner
Four
“pearls”
Active listening
“Not really” actually means
“I’m not going to tell you until I
really know you’ll try to understand
what I’m saying.”
Communication Behaviors of
“No Claim” Primary Care Physicians
Longer
visits
More orienting statements
More humor, more laughter
More facilitating comments
Levinson w et al. JAMA 1997;277(7):553-9
Mc Whinney’s Taxonomy of
Medical Help-Seeking Behavior
Limits
of tolerance for symptom
Limits of tolerance for anxiety about
symptom
Problems of living presenting as
symptoms
Preventive/routine care
Administrative reasons
History of Present Illness:
“O-P-Q-R-S-T” questions
Onset
and circumstances of Occurrence
Provocative and Palliative factors
Quality and/or Quantity of symptom
Region of body and Radiation to other
areas
Severity of symptom (0 to 10 scale, if
applicable) and associated Symptoms
Time (duration) and Temporal associations
Video
# 8 [doc.com]
“Gather Information”
Characterize the symptoms
Conclusive information
for determining the diagnosis
Provided by:
Per cent
History
73%
Physical examination
62%
Imaging studies
35%
Standard lab tests
22%
Diagnostic information sources
History
Physical examination
Imaging studies
Standard lab tests
Conclusive
73%
62%
35%
22%
Erroneous
1-2%
1-2%
7%
“Inaccurate, incomplete, or misinterpreted
patient histories are among the leading
causes for diagnostic errors.”
Feddock C. Am J Med 2007;120(4):374-8.
A
woman presents to her doctor and
requests a mammogram to find out
whether she has breast cancer.
Is that a good idea?
Why
aren’t mammograms
recommended for all women?
Expense
Reliability
How reliable is a mammogram?
If
she has breast cancer, the probability
that the mammogram will be abnormal is
80%.
“Sensitivity” = 80%
[i.e., 80% of women with breast cancer have an
abnormal mammogram, and
20% of women with breast cancer have a
normal mammogram (“false negative” result)
due to biology and/or interpretation.]
How reliable is a mammogram?
If
she does not have breast cancer,
the probability that the mammogram will be
normal is 90%.
“Specificity” = 90%
[i.e., 90% of normal women have a
normal mammogram and
10% of healthy women have an
abnormal mammogram (“false positive” result)
due to biology and/or interpretation.]
Breast cancer risk varies by age
Risk of breast cancer in women at current age is:
age 20: 1 in 1,837 (0.054%)
age 30: 1 in 234 (0.42%)
age 40: 1 in 70
(1.4%)
age 50: 1 in 40
(2.5%)
age 60: 1 in 28
(3.6%)
age 70: 1 in 26
(3.8%)
Current entire ♀ population (20 to 80): 1 in 100 (1%)
Over a lifetime: 1 in 8
(12.5%)
Source: American Cancer Society Breast Cancer Facts and Figures 2007-2008
Prevalence of breast cancer
In
the population as a whole
what per cent of women 20
and older have breast cancer
today?
1
%
Random mammogram
Breast cancer
Yes
No
Total
10
990
1000
Abnormal
Mammogram result
Normal
Total
Random mammogram
Breast cancer
Yes
Abnormal
No
Total
990
1000
?
Mammogram result
Normal
Total
10
Random mammogram
Breast cancer
Yes
No
Total
10 x 80%
Abnormal
Mammogram result
8
Normal
Total
10
990
1000
Random mammogram
Breast cancer
Yes
No
Total
10 x 80%
Abnormal
Mammogram result
Normal
Total
8
2
10
990
1000
Random mammogram
Breast cancer
Yes
No
Total
10 x 80%
Abnormal
Mammogram result
Normal
Total
8
2
?
10
990
1000
Random mammogram
Breast cancer
Yes
No
Total
10 x 80%
Abnormal
Mammogram result
8
990 x 90%
Normal
2
891
Total
10
990
1000
Random mammogram
Breast cancer
Yes
No
Total
10 x 80%
Abnormal
Mammogram result
99
8
990 x 90%
Normal
2
891
Total
10
990
1000
Random mammogram
Breast cancer
Yes
No
Total
10 x 80%
Abnormal
Mammogram result
99
8
107
990 x 90%
Normal
2
891
Total
10
990
893
1000
Random mammogram
Breast cancer
Yes
No
Total
10 x 80%
Abnormal
Mammogram result
8
99
True pos
False pos
107
990 x 90%
Normal
Total
2
891
False neg
True neg
10
990
893
1000
Random mammogram
Breast cancer
Yes
No
Total
10 x 80%
Abnormal
Mammogram result
8
99
True pos
False pos
107
990 x 90%
Normal
Total
2
891
False neg
True neg
10
990
893
1000
Positive predictive value of
random mammogram = 8 / 107 =
7.5%
Interpreting mammogram results
Cancer;
80% pos mammo
Healthy;
positive mammo
Healthy;
negative mammo
Each box = 10 women.
Mammogram sensitivity = 80%; specificity = 90.
Breast cancer overall prevalence = 1% (varies with risk!)
For
which women are
mammograms recommended?
Risk factors:
Previous
breast cancer
Genetic mutations (BrCA-1, BrCA-2)
Breast mass
Age
Etc.
Breast cancer risk varies by age
Risk of breast cancer in women at current age is:
age 20: 1 in 1,837 (0.054%)
age 30: 1 in 234 (0.42%)
age 40: 1 in 70
(1.4%)
age 50: 1 in 40
(2.5%)
age 60: 1 in 28
(3.6%)
age 70: 1 in 26
(3.8%)
Source: American Cancer Society Breast Cancer Facts and Figures 2007-2008
Mammogram at age 50
(prevalence = 2.5%)
Breast cancer
Yes
No
Total
25 x 80%
Abnormal
Mammogram result
20
97.5
True pos
False pos
117.5
975 x 90%
Normal
Total
5
877.5
False neg
True neg
25
975
882.5
1000
Positive predictive value of mammogram at age 50 = 20 / 117.5 = 17%
Mammogram at age 50 with mass
(prevalence ~ 50%)
Breast cancer
Yes
No
Total
500 x 80%
Abnormal
Mammogram result
Normal
400
50
True pos
False pos
100
False neg
500 x 90%
450
450
550
True neg
Total
500
500
1000
Positive predictive value of mammogram at age 50 with mass
= 400 / 450 =
89%
A
thorough history and physical exam =
more accurate assessment of “prior
probability” that the patient has a particular
disease.
This helps guide appropriate choice and
interpretation of lab and imaging tests.
And leads to better diagnosis and more
effective treatment.
An
accurate history and
physical exam are essential for
arriving at the correct
diagnosis.
Video
# 8 Mr. Dade
Patient-Centered Interview
Allows
patients to express their concerns
Seeks patients’ specific requests
Elicits patients’ explanations of their illnesses
Facilitates patients’ expression of feeling
Gives patients information
Involves patients in developing a plan for
evaluation and treatment
IMPROVES OUTCOME AND SATISFACTION.
A
good physician can talk
to anyone…
But
a great physician can
listen to anyone.
Doc.com
#13: Responding to
Strong Emotions