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Nursing Evidence Assignment 2022

Documenting the results of evidence appraisal in preparation for evidence synthesis in nursing.

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Added on  2022-09-22

Nursing Evidence Assignment 2022

Documenting the results of evidence appraisal in preparation for evidence synthesis in nursing.

   Added on 2022-09-22

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Johns Hopkins Nursing Evidence-Based Practice
Appendix G
Individual Evidence Summary Tool
Date: EBP Question: Will text messaging appointment reminders to patients' age's 30-70
decrease no-shows for appointments?
Article
Number Author and Date Evidenc
e Type
Sample,
Sample Size,
Setting
Findings That Help
Answer the EBP
Question
Observable Measures Limitations Evidence Level,
Quality
1
Boksmati, N., Butler-
Henderson, K., Anderson, K.,
& Sahama, T. (2016).
Meta-analysis 28 studies
13 randomized
control trials
Studies published
btwn 2005-2015 in
Sydney Australia
SMS reminders are an effective
method that can be used to
improve the appointment
attendance in health care and it
continues to improve.
Half of the studies reviewed sent the
reminder within 48 h prior to the
appointment time,
Small sample sizes Evidence level I because it is a
meta-analysis and the quality
was low because no significant
differences was detected
between the subgroups and some
sample sizes were small.
2
Henry H. Fischer,1 Susan L.
Moore,1 Tracy L. Johnson,1
Rachel M. Everhart,1 Holly
Batal, PhD,1 and Arthur J.
Davidsoni1
2017
Pragmatic
investigation
47,390 patients
were invited
20,724 which is
43.7% responded
18,138 which is
81.5% opted in
The research was
done in Washington
DC
SMS reminders advance
customer satisfaction at a low
operating cost.
Analysis that compared visit attendance
with an 18-month evaluation
47,390 participants were contacted by
SMS to contribute, of which 20,724
replied with 18,138 accepting to
participate.
Large sample sizes Evidence level I since this was
pragmatic study. This was a high
quality because definitive
conclusions were made.
3 Kheirkah, P., Qianmei, P.,
Travis, L., Tavakoli-Tavasi,
S., Sharafkhaneh, A. (2016).
Cohort study Administrative
databases for 12
years in the primary
health care in USA.
Clients not attending the
appointments levied a major
encumbrance on this health
sector.
Organizational records for financial years
1997–2008 were used.
Secondly an estimation of the cost of the
rates of not showing up in another 10
regional hospitals was done
Large sample sizes Evidence level V with high
quality because definite
conclusions were made.
4 Lacy, N. L., Paulman, A.,
Reuter, M. D., & Lovejoy, B.
(2004)
Semi
structured
interview
34 Adults patients in
Nebraska Medical
Center, Omaha
3 kinds of matters related to not
showing up for the
appointments were recognized.
They included sentiments,
apparent disrespect, and failure
to understand the scheduling
system.
Interviews were carried out to 34 adults
who came for out-patient clinics.
Anticipatory fear and
anxiety of the participants.
Evidence level III because this
was a qualitative study and with
a low quality for a small sample
size was used.
5 Mehra, A., Hoogendoom, C.,
Haggerty, G., Engelthaler, J.,
et al. (2017).
A systematic
review with a
control
randomized
trial.
27,826
appointments with
6147 no-shows in
2014 and 31,696
appointments with
5690 no-shows in
2015
at the Elmont
Teaching Health
No show rates were
successfully abridged after 2
phase intervention and in
future, dismantling individual
components of intervention
would work.
27826 appointments with 6147 no-shows
in 2014 and 31696 appointments with
5690 no-shows in 205.
Large sample sizes Evidence level I since it was a
systematic review and with high
quality since there was sufficient
sample size and definitive
conclusions were made.
1
Nursing Evidence  Assignment 2022_1
Johns Hopkins Nursing Evidence-Based Practice
Appendix G
Individual Evidence Summary Tool
Center in New York.
6 Mohammadi, I., Wu, H.,
Turkcan, A., Toscos, T., &
Doebbeling, B. N. (2018).
Predictive
modeling
technique.
semi structured data
from over 17 tables
in 10 community
health centers for 7
years. The
study was carried
out in San Francisco
California.
Patient appointment observance
is different across clinics
within a healthcare sector
Electronic health data for 3 years from
10 community health centers.
Complexity of the
predictive models and
large sample sizes.
Level II since it is non-
experimental study with a high
quality since sample sizes were
sufficient and with a
comprehensive review of the
collected data.
7 Ofei-Dodoo, S., Kellerman,
R., Hartpence, C., Mills, K.,
& Manlove, E. (2019)
Qualitative
study
25 Participants from
2 urban clinics in
Manhattan
21 being female and
4 being male.
There are various logistical,
situational, and clinical reasons
for patients’ missed scheduled
outpatient appointments.
25 participants were used, 21 being
female and 4 being male.
52% Caucasian,
32% Black,
12% Hispanic
4% Asian.
The study was completed
at two family medicine
residency clinics and the
findings may not be
applicable to other
specialties or programs.
Second, some patients did
not have working phones,
so we were unable to
contact them for the study
Level III since it a qualitative
study and the quality was low
quality due to insufficient
sample size
Date: EBP Question:
Article
Number Author and Date Evidence Type
Sample,
Sample Size,
Setting
Findings That Help
Answer the EBP
Question
Observable
Measures Limitations Evidence Level,
Quality
8 Schwebel, F. J., & Larimer,
M. E. (2018
Narrative literature
review 2316 articles were
used for the review.
The study was carried
out in Washington DC
in the Health care
department.
Nearly all the SMS-reminder
research conducted assisted in
improving the patient medical
acquiescence and appointment
prompts.
Benefits of using SMS reminders
include ease of use and it is
cheap.
93 medical appointment
honoring reminders were
used.
56 studied appointment
reminders were used as
samples.
Use of diverse sources
which does not allow a
recommend ion of a
favorite approach for the
use of SMS prompts in
health sector
Level V because it is a literature
review. It has a good quality for
there are consistence
recommendations.
9 Triemstra, J. D., & Lowery,
L. (2018
Retrospective chart
review A retrospective chart
review in Adolescent
and Young Adult
Medicine Clinic at
Helen DeVos
Children’s Hospital
(HDVCH) in Grand
Rapids, Michigan
Income lost from the
appointments that are not
honored is momentous and it
affects the capability to expand
patients care
A reflective chart review
of monetary and planning
information of a children
hospital in Michigan from
Nov 206-Oct 2017
Data from a single
institution was used
Several demographics like
gender were not obtained.
Level V evidence with good
quality since fairly definitive
conclusions was made.
10 Ullah, S., Rajan, S., Liu, T.,
Demagistris, E., Jahrstorfer,
R., Anandan, S., ... & Gill, A.
Case control study with
meta-analysis
Emphasis on the need for more
research to better understand why
patients don’t honor
Telephone calls were used
to communicate to the
patients who did not honor
Small size of the study
populace and high rate of
no response
Level I evidence since it is a
case control study and it has low
quality evidence for a small
2
Nursing Evidence  Assignment 2022_2

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