Transcript The Anxiety Disorders Some Practical Questions & Answers

Nursing Research Lunch and Learn
The Disease of Drug
Addiction:
Communication
Strategies for the
Healthcare Team
Mary Kate Dilts Skaggs,
RN, MSN, NE-BC
Director of Nursing
Emergency, Pediatrics and
Outpatient Services
May 15, 2012
Purpose
• To gain an understanding of your knowledge
regarding addiction and communication
strategies.
• In the healthcare team, is there a significant
difference in understanding of communication
strategies pre and post drug addiction
communication education?
• The survey took about 5-10 minutes to
complete. The survey was completed in person
before and after the education program.
• This was a nursing research study.
• Participation was voluntary.
• Refusal did not jeopardize attendance at the event or
their employment.
• Benefit: participate in research, possible influence
future educational programs at SOMC.
• This was an anonymous survey.
• Privacy and confidentiality was protected.
• Demographic and aggregate data will be shared.
• There was no cost to participate.
• Any questions were answered by researchers on site.
• You did not need to put your name on
the survey
• Completing it implied consent for this
study.
• You did need to indicate if the survey
was PRE or POST.
• To correlate data (Pre-Post) DOB would
have been preferred
• The survey had been approved by the
SOMC Institutional Review Board and
Nursing Research Committee 09/07/11
Valerie DeCamp
RN, BSN, MHA, NE-BC
Director of Nursing
Inpatient Services and Accreditation
Southern Ohio Medical Center
1805 27th Street
Portsmouth, Ohio 45662
740-356-8409
Mary Kate Dilts Skaggs,
RN, MSN, NE-BC
Director of Nursing
Emergency, Pediatrics and
Outpatient Services
Southern Ohio Medical Center
1805 27th Street
Portsmouth, Ohio 45662
740-356-8430
Demographic Data
• Year of Birth (should have used DOB)
• Sex
• Job Title (RN, LPN, Pharmacist, Social Worker,
Medical Imaging, Lab and other: specify job title)
• Job Setting
–
–
–
–
Hospital
Public Health
Community Member
Other
Demographic Data
• Have you had past experience with
family member/addiction?
• Have you had past self/addiction?
• Have you had past experience with coworker addiction?
• Have you had any previous drug
addiction communication strategy
education?
Disease of Addiction
• Addiction is primarily a:
a. Loss of willpower
b. Brain disease
c. Problem of environment d. Mental illness
• An increase in amount and frequency
of drug use is most often a sign of:
a. Personal problems
c. Tolerance increase
b. Stress
d. Blackouts
Disease of Addiction
• Tremors, drug craving, mental
confusion, and nausea are often signs
of:
a. Withdrawal
c. Bad drug interaction
b. Brain disease
d. Methamphetamine use
• The fastest growing drug of abuse in
our community is/are:
a. Methamphetamine
c. Marijuana
b. Opiates
d. Bath Salts
Disease of Addiction
• The number one cause of accidental
death in Ohio is:
a. Automobile accidents
c. Slips/Falls
b. Gunshots
d. Drug overdose
• Substance Use Disorder (s) commonly
found among hospitalized patients
consists of the following:
a. Intoxication
d. Bath Salts
b. Withdrawal c. Abuse
e. All of the above
Disease of Addiction
•
According to the FDA the following are the
drinking limits for healthy adult males:
a. No more than 2 drinks in a day, no more than 14 drinks in a week
b. No more than 3 drinks in a day, no more than 14 drinks in a week
c. No more than 4 drinks in a day, no more than 14 drinks in a week
d. No daily or weekly maximum limits have been identified
•
According to the NSDUH 2009 statistics,
which drug is most commonly used within
the United States:
a. Heroin
c. Pain Relievers
b. Cocaine
d. Marijuana
Disease of Addiction
•
A 35 year old female is admitted to the emergency room with
a blood alcohol level of .28. She is being admitted to the
hospital for further evaluation. She has a history of taking
prescribed opiate medications for legitimate medical reasons.
The admitting nurse should consider the following in relation
to this patient’s medical monitoring plan:
a. Alcohol withdrawal
b. Opiate withdrawal
c. Ignore the facts regarding her alcohol use and history of taking prescribed
medications. “She does not look like someone who had a substance use
disorder
d. Both A and B
•
What year did deaths related to unintentional drug poisoning
exceed motor vehicle traffic deaths:
a. 2010
c. 2005
b. 2007
d. 2003
Course Evaluation
Session 12p – 3p
Mean Score 4.92 out of 5
• Ed Hughes
212 Responses
• Geneva Sanford
212 Responses
Session 6p – 9p
Mean Score 4.87 out of 5
• Ed Hughes
60 Responses
• Geneva Sanford
60 Responses
Data Analysis
• Participants pre/post test
280
• Eliminate cases missing data or
incomplete data
37
• Data Analysis
243
Data Analysis
• The variables for the study are:
– Age
– Gender
– Employment Status
– Family Member Addiction
– Self Addiction
– Co-worker Addiction
– Pretest scores
– Post test scores
Data Analysis
N = 243 Total
N = (92.9%)
N = (7.8%)
Females
Males
•
N = 158 (65%)
had experienced family addiction
•
N = 85 (35%)
had not experienced family addiction
•
N = 234 (96.3%)
no prior self addiction
•
N = 9 (3.7%)
reported self addiction
•
N = 100% (41.2%)
reported experience with
a co-worker with addiction
•
N = 143 (58.8%)
reported no experience with a
co-worker with addiction
Data Analysis
• Subjects were also asked if they had previously participated in a
previous strategy education.
• N = 78 (32.1%) had participated in similar education strategies
• N = 165 (67.9%) had not.
• Employment classification summaries are presented in Figure 1.
Figure 1. Pie Chart for
Employment
Classification
Data Analysis
• Table 1 presents the summary statistics for age, pretest, and posttest
scores. The results indicate that the mean post test was approximately
17 points higher than the mean pretest.
• Table 1. Descriptive Statistics
Variable
Mean
Median
St. Dev.
IQR
Min
Max
Skew
Age
39.26
38.00
13.07
21.00
20.00
76.00
0.41
Pretest
60.99
60.00
13.51
20.00
20.00
100.00
0.06
Postest
87.57
90.00
11.33
10.00
10.00
100.00
-2.23
Note: St. Dev. = Standard Deviation; IQR = Interquartile Range; and, Skew = Skewness.
Data Analysis - Results
1.
Did the overall participants show an increase in the
knowledge learned comparing pretest and posttest scores?
A matched-pairs t-test was conducted to address this research
question. The mean difference in posttest and pretest scores
was 26.58, with standard deviation 17.59. The results (t(242) =
23.56, p< .001) indicate a statistically significant increase from
pre test to post test scores. The 95% confidence interval was (28.81, -24.36), indicating there’s a .95 probability that the mean
increase in post test scores is 24.36 to 28.81 higher than pre test
scores.
Data Analysis - Results
2.
Did participants who had past experience with family
member addiction score higher than those without experience
with family member addiction?
An independent samples t-test was also conducted to address
this question. A new variable (DIFF) was created by subtracting
the pretest from the posttest (posttest – pretest). Descriptive
statistics for DIFF and DIFF across family addiction status (Yes
or No) are presented in Table 2. A box plot of DIFF across
family addiction status is presented in Figure 2. The analyses
were conducted on n = 85 (35.0%) respondents who recorded
no family member addiction experience and n = 158 (65.0%)
who recorded family member addiction experience.
Data Analysis - Results
•
Table 2. Descriptive Statistics
Variable
Mean
Median
St. Dev.
IQR
Min
Max
Skew
DIFF
26.58
30.00
17.59
20.00
-60.00
70.00
-0.77
No
28.59
30.00
17.74
20.00
-20.00
70.00
-0.35
Yes
25.51
30.00
17.47
30.00
-60.00
60.00
-1.03
Figure 2. Box plot of DIFF across Family Addiction Status
An independent samples t-test was conducted for
DIFF across family addiction status. The results
(t(241) = 1.31, p = .19) indicates that the difference in
pretest to posttest scores is not statistically
significant. The 95% confidence interval for the
difference in scores is (-1.57, 7.74).
Data Analysis - Results
3.
Did participants who had past experience with a co-worker
addiction score higher than those without experience with coworker addiction?
An independent samples t-test was also conducted to address the difference in pretest
and posttest scores (DIFF) across co-worker addiction status. Descriptive statistics
for DIFF across co-worker addiction status (Yes or No) are presented in Table 3. A
box plot of DIFF across family addiction status is presented in Figure 3. The analyses
were conducted on n = 143 (58.8%) respondents who recorded no co-worker
addiction experience and n = 100 (41.2%) who recorded family member addiction
experience*
Table 3. Descriptive Statistics
*
Variable
Mean
Median
St. Dev.
IQR
Min
Max
Skew
No
24.83
30.00
17.40
20.00
-30.00
70.00
-0.42
Yes
29.10
30.00
17.64
130.00
-60.00
70.00
-1.31
•
•
An independent samples t-test was conducted for DIFF across co-worker
addiction status. Although the mean was noticeably higher for participants
who had experienced co-worker addiction (29.10) than those who had not
experienced co-worker addiction (24.83), the results (t(241) = -1.87, p = .06)
were not statistically significant. The 95% confidence interval for the difference
in scores is (-8.77, 0.22).
Figure 3. Box plot of DIFF across Co-Worker Addiction Status
Data Analysis - Results
4.
Did hospital participants score higher on the pretest/posttest comparison
than other participants?
An independent samples t-test was also conducted to address the difference in
pretest and posttest scores (DIFF) across hospital employment classification (no
or yes). Descriptive statistics for DIFF across hospital employment status (Yes or
No) are presented in Table 4. A box plot of DIFF across hospital employment
status is presented in Figure 4. The analyses were conducted on n = 119 (49.0%)
hospital employees*and n = 124 (51.0%) non-hospital employees.
Table 4. Descriptive Statistics
*
Variable
Mean
Median
St. Dev.
IQR
Min
Max
Skew
No
24.92
30.00
18.10
20.00
-60.00
60.00
-1.06
Yes
28.32
30.00
16.94
20.00
-30.00
70.00
-0.39
An independent samples t-test was conducted for DIFF across hospital employment status. Although the
mean was noticeably higher for hospital employees (28.32) than non-hospital employees (24.92), the results (t(241) =
1.51, p = .13) were not statistically significant. The 95% confidence interval for the difference in scores is (-1.03,
7.83).
Figure 4. Box plot of DIFF across Hospital Employment
Classification
Next Steps:
• Addiction as a Disease Part 2
• Education –
September 2012
October 2012
• Attend 1 or 2 sessions or all day
• Nursing CE’s available
• Same course both dates
Are there other questions?
www.somc.org
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