Literature Evaluation Table

Literature Evaluation Table
Student Name:
Change Topic (2-3 sentences): Identifying surgical site infections in the healthcare settings
Criteria Article 1 Article 2 Article 3 Article 4
Author, Journal
(Peer-Reviewed),
and
Permalink or
Working Link to
Access Article
Grundmeier, R. W., Xiao, R.,
Ross, R. K., Ramos, M. J.,
Karavite, D. J., Michel, J.
J., ... & Coffin, S. E, Journal
of the American Medical
Informatics Association,
25(9), 1160-1166
https://www.ncbi.nlm.nih.go
v/pubmed/29982511
Chakravarthy M, Rangaswamy S,
George A, Anand T, Senthilkumar P,
Rose SA
J Patient Saf Infect Control
2017;5:73-7
http://www.jpsiconline.com/
text.asp?2017/5/2/73/223694
Martin, E. T., Kaye, K. S., Knott, C.,
Nguyen, H., Santarossa, M., Evans,
R., ... & Jaber, L.
infection control & hospital
epidemiology, 37(1), 88-99
https://www.shea-online.org/
index.php/journal-news/press-room/
press-release-archives/432-diabetes-
identified-as-a-risk-factor-for-
surgical-site-infections
Badia, J. M., A. L. Casey, N.
Petrosillo, P. M. Hudson, S. A.
Mitchell, and C. Crosby.
Badia, J. M., A. L. Casey, N.
Petrosillo, P. M. Hudson, S. A.
Mitchell, and C. Crosby
Journal of Hospital Infection,
96(1), 1-15.
https://www.ncbi.nlm.nih.gov/
pubmed/28410761
Article Title and
Year Published
Identifying surgical site
infections in electronic health
data using predictive
models., 2018
Risk stratification of surgical site
infection in a Tertiary Care Hospital:
A prospective case-control study.
2017
Diabetes and risk of surgical site
infection: a systematic review and
meta-analysis
2016
Impact of surgical site infection
on healthcare costs and patient
outcomes: a systematic review
in six European countries
2017
Research
Questions
(Qualitative)/Hy
pothesis
(Quantitative),
The objective of the study
was to prospectively validate
a rule for the detection of
cases for surgical site
infection in post ambulatory
The study aimed to identify factors
which are commonly associated with
surgical site infection for over a
period of two years in a tertiary
referral hospital.
The objective of the study is to
determine the independent
association between diabetes and
surgical site infections across
multiple surgical procedures
The study assessed and
evaluated on the evidence, cost
and quality of life burden of
surgical site infections in
various specialties in 6
© 2015. Grand Canyon University. All Rights Reserved.

and
Purposes/Aim of
Study
surgery. European countries
Design (Type of
Quantitative, or
Type of
Qualitative)
A qualitative study based on
electronic health record data.
Quantitative based Prospective study A qualitative based study based on
systematic reviews and meta-analysis
studies
A systematic review of studies
in electronic databases was
undertaken
Setting/Sample Ambulatory care surgical
facility. Surgical site
prediction rules were
obtained based on 30 months
of data. Models were
obtained with and without
the data.
The setting of the study was a tertiary
referral hospital in India
The studies used in this review were
obtained from pub med published
between 1985-2015
Studies were done in post-2005
in France, Germany, Italy,
Spain, Netherlands, and the UK
were included.
Methods:
Intervention/Inst
ruments
Regulated logistic regression
and random forests were
obtained from the data set.
The methodology applied involved
all surgical site infections for the
period of two years, where two sets
of data comprising of 10-12 patients
were utilized to identify weight risks
factor using logistic regression.
Meta-analysis based study Economic evaluations based on
cost-utility, cost minimization,
and a cost-benefit analysis was
performed
Analysis Surgical sites infections were
obtained from the data set.
Logistic regression was performed on
the two sets of data
Random effects met analysis
generated pooled estimates and meta-
regressions used to assess specific
sources of hetero generosity
The primary interest of focus
was direct and indirect health
care costs, cost drivers and the
related proxy outcomes.
Key Findings 234 surgeries were identified
with surgical site infection in
a group of 7910 surgeries
analyzed. An optimal
prediction rule was included
using a random forest model
with a sensitivity of 0.9 and a
positive predictive value of
After analysis, the stepwise
multivariate logistic analysis model
showed that body mass index,
preoperative duration, and utilization
of preoperative shower were
positively linked as predictors of
surgical site infection.
The meta-analysis found an
association of diabetes and SSI with
an odds ratio of 1.53 (95% pi). There
was observed high association
observed for cardiac surgery patients
with OR=2.03 (95% PI 1.3-4.05)
compared with other surgeries
There was limited evidence
found, however, SSI
continuously associated with
elevated costs compared to
uninfected patients. Various
studies reported longer periods
of stay in hospital, reoperation,
© 2017. Grand Canyon University. All Rights Reserved.

0.28 and readmission which
increased SSI mortality rate.
Recommendatio
ns
Electronic health records can
facilitate surgical site
infection having adequate
sensitivity and positive
predictive value.
The three factors that affect SSI
include BMI, preoperative stay and
preoperative antiseptic shower.
The results obtained support the
usage of diabetes as an independent
risks factor for SSI in multiple
surgeries types.
There was observed disparity in
terms of cost reporting,
however, there was a general
observance of high costs
associated with SSI.
Explanation of
How the Article
Supports
EBP/Capstone
Project
This article is beneficial for
evidence-based practice
through the use of available
electronic health records for
surveying surgical site
infections hence leading to
the minimized occurrence of
SSI among postoperative
patients.
As utilization in evidence-based
practice scores can be assigned to
patients based on various factors with
preoper5taive days, body mass index
and antiseptic shower being
positively associated with SSI. Thus
used as predictors.
As a capstone key knowledge,
diabetes is a key factor in assessing
the occurrence of SSI among patients
undergoing surgery. Thus as a nurse
there is a need to take precautionary
measures among patients with
diabetes.
This study is crucial in that it
lays the funding for the nursing
recommendation and advising
patients on SSI costs process
and the how stakeholders and
health care practitioners can do
in order to alleviate the health
care costs on readmissions of
SSI.
Criteria Article 5 Article 6 Article 7 Article 8
Author, Journal
(Peer-Reviewed),
and
Permalink or
Working Link to
Access Article
Macefield, Rhiannon C.,
Barnaby C. Reeves, Thomas K.
Milne, Alexandra Nicholson,
Natalie S. Blencowe, Melanie
Calvert, Kerry NL Avery et al
Journal of infection prevention
18, no. 4 (2017): 170-179.
https://journals.sagepub.com/
doi/abs/
Du, Mingmei, Meng Li, Kexin Liu,
Jijiang Suo, Yubin Xing, Bowei Liu,
Rui Huo, Chunping Chen, and Yunxi
Liu.
American journal of infection
control, 45(4), 430-432.
https://www.ncbi.nlm.nih.gov/
pubmed/28185667
Mueck, Krislynn M., and Lillian S.
Kao.
Surgical infections, 18(4), pp.440-
446.
https://www.liebertpub.com/doi/
full/10.1089/sur.2017.058
Kunutsor, S. K., M. R.
Whitehouse, A. W. Blom, and
A. D. Beswick
Epidemiology & Infection,
145(9), 1738-1749
https://www.cambridge.org/
core/journals/epidemiology-
and-infection/article/
systematic-review-of-risk-
prediction-scores-for-surgical-
© 2017. Grand Canyon University. All Rights Reserved.